Report Contents
Market Overview
The global Connected Retail market is transitioning from pilot projects to scalable deployment, generating approximately USD 50.20 Billion in revenue in 2025. Propelled by omnichannel commerce, real-time inventory visibility, and data-driven merchandising, the market is projected to expand at a compounded annual growth rate of 17.80% from 2026 to 2032, reaching an estimated USD 136.10 Billion by 2032 as retailers integrate digital and physical store experiences.
This expansion is shaped by strategic imperatives that determine competitive advantage, including cloud-native scalability, precise localization of customer engagement, and deep technological integration across IoT sensors, edge computing, AI analytics, and unified commerce platforms. As mobile payments, automated checkout, and connected supply chains converge, the scope of Connected Retail is broadening from in-store digitization to end-to-end retail ecosystems that redefine roles for brands, marketplaces, and logistics providers. This report is positioned as a critical strategic tool to guide investment priorities, market entry decisions, and risk management amid accelerating disruptions in retail technology and consumer expectations.
Market Growth Timeline (USD Billion)
Source: Secondary Information and ReportMines Research Team - 2026
Market Segmentation
The Connected Retail Market analysis has been structured and segmented according to type, application, geographic region and key competitors to provide a comprehensive view of the industry landscape.
Key Product Application Covered
Key Product Types Covered
Key Companies Covered
By Type
The Global Connected Retail Market is primarily segmented into several key types, each designed to address specific operational demands and performance criteria.
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Connected point-of-sale systems:
Connected point-of-sale systems represent one of the most mature and widely deployed segments in the Global Connected Retail Market, forming the transactional backbone of omnichannel retail operations. They enable seamless integration between in-store transactions, online orders and back-office systems, which is essential as the market is projected to reach USD 59.10 Billion in 2026 and USD 136.10 Billion by 2032 at a 17.80% CAGR. Their established footprint in grocery, fashion, consumer electronics and quick-service restaurants positions them as a foundational layer for real-time inventory visibility and unified customer profiles.
The key competitive advantage of connected point-of-sale systems lies in their ability to consolidate payment processing, digital receipts, loyalty accrual and returns management into a single interface, improving checkout throughput by an estimated 20.00% to 30.00% compared with legacy cash registers. By integrating with payment gateways and fraud detection engines, these systems typically reduce payment reconciliation errors by more than 25.00%, which directly lowers operational costs and chargeback exposure. Their scalability, with many cloud POS platforms supporting thousands of terminals across regions, makes them particularly attractive for retailers executing rapid store rollouts and format diversification.
The primary catalyst propelling growth in connected point-of-sale systems is the rapid adoption of contactless payments and unified commerce, driven by consumer demand for faster, low-friction checkouts and curbside or in-store pickup. Regulatory pushes around electronic invoicing and digital tax reporting in multiple jurisdictions are accelerating upgrades from standalone terminals to fully connected POS platforms. At the same time, retailers are leveraging POS data for dynamic pricing and real-time promotions at the checkout, which enhances basket size and provides a direct return on investment, further reinforcing the segment’s strategic relevance.
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Omnichannel retail platforms:
Omnichannel retail platforms occupy a central strategic position in the Global Connected Retail Market because they orchestrate customer journeys across online, mobile, social and physical stores. These platforms provide unified order orchestration, inventory availability across locations and consistent pricing logic, which are essential as connected retail spending expands toward USD 136.10 Billion by 2032. Large apparel chains, big-box retailers and specialty brands increasingly treat omnichannel platforms as the control tower of their digital transformation programs.
The core competitive advantage of omnichannel retail platforms is their ability to synchronize inventory, orders and customer data in near real time, enabling use cases such as buy-online-pickup-in-store, ship-from-store and endless aisle. Retailers implementing robust omnichannel platforms often report fulfillment cost reductions of 10.00% to 20.00% by optimizing source-of-fulfillment logic and store utilization. Additionally, order-routing algorithms typically increase order fill rates by more than 5.00%, which directly lifts revenue while enhancing customer satisfaction and repeat purchase frequency.
Growth in this segment is primarily fueled by the shift from channel-specific strategies to unified commerce models, where consumers expect consistent experiences regardless of touchpoint. The rapid rise of social commerce and marketplace selling is forcing retailers to consolidate fragmented technology stacks onto integrated omnichannel platforms that can handle multi-node inventory, returns and promotions across partners. As retailers expand cross-border e-commerce, omnichannel platforms that can handle multiple currencies, tax regimes and logistics partners are increasingly prioritized in investment roadmaps, accelerating demand for scalable, cloud-native solutions.
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Retail analytics and customer insights software:
Retail analytics and customer insights software has emerged as a high-growth segment within the Global Connected Retail Market, moving from descriptive reporting to predictive and prescriptive analytics. This category supports decision-making in pricing, merchandising, assortment planning and space optimization across networks of stores and digital channels. As retailers seek to monetize the data generated by connected point-of-sale, e-commerce and in-store IoT systems, analytics platforms are becoming mission-critical decision engines rather than optional add-ons.
The primary competitive advantage of these platforms is their ability to convert large volumes of transactional, behavioral and contextual data into actionable insights that directly impact revenue and margin. Retailers using advanced analytics for price and promotion optimization often report gross margin improvements of 2.00% to 5.00% and inventory reduction of up to 15.00% without compromising service levels. Machine learning driven demand forecasting can reduce stockouts by roughly 20.00% to 30.00%, while simultaneously lowering excess inventory, which materially improves working capital efficiency.
The principal catalyst driving growth in retail analytics and customer insights software is the adoption of artificial intelligence and machine learning across merchandising and marketing functions. The increasing availability of granular data from loyalty programs, mobile apps and in-store sensors is enabling real-time customer segmentation and individualized offers at scale. Additionally, as the overall connected retail sector grows toward USD 50.20 Billion in 2025 and beyond, retailers face board-level pressure to quantify technology ROI, which further intensifies investment in analytics platforms that can directly link operational decisions to financial outcomes.
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Customer engagement and loyalty solutions:
Customer engagement and loyalty solutions represent a crucial demand-generation and retention layer in the Global Connected Retail Market, bridging marketing, commerce and service interactions. These platforms unify loyalty points, personalized offers, messaging and membership tiers across stores, websites, apps and partner ecosystems. They are especially important in competitive verticals such as grocery, beauty, fuel retail and quick-service restaurants, where switching costs are low and promotions heavily influence shopper decisions.
The main competitive advantage of this segment is its ability to drive incremental revenue and higher customer lifetime value by enabling retailers to deliver tailored incentives based on transaction history and real-time context. Well-implemented loyalty programs supported by connected engagement platforms can increase visit frequency by 10.00% to 25.00% and boost average basket size by 5.00% to 10.00%. Furthermore, by consolidating disparate engagement tools into a single platform, retailers often reduce campaign execution costs and improve offer redemption tracking accuracy by more than 20.00%.
Growth in customer engagement and loyalty solutions is primarily fueled by the shift from mass promotions toward personalized, data-driven marketing, enabled by tighter integration with analytics and mobile commerce. The proliferation of digital wallets and app-based memberships encourages consumers to interact with loyalty ecosystems on a daily basis, creating richer data and more opportunities for targeted engagement. As privacy regulations tighten, retailers increasingly invest in loyalty platforms as a strategic mechanism to build first-party data assets, which further elevates the importance and adoption of this segment.
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Inventory and order management solutions:
Inventory and order management solutions form the operational backbone for product availability and fulfillment in the Global Connected Retail Market. These systems provide centralized visibility into stock levels across distribution centers, stores, dark stores and drop-ship partners, allowing retailers to promise accurate delivery timelines to customers. Their importance has grown as retailers move from linear supply chains toward multi-node, flexible fulfillment networks serving both stores and e-commerce.
The key competitive advantage of advanced inventory and order management platforms lies in their ability to optimize stock placement and fulfillment decisions, thereby reducing both stockouts and overstocks simultaneously. Retailers deploying sophisticated allocation and replenishment algorithms typically achieve inventory reductions of 10.00% to 20.00% while improving on-shelf availability by 2.00% to 5.00%. Automated order orchestration can streamline processing and reduce manual intervention, often cutting order cycle times by 15.00% to 30.00%, which is critical for same-day and next-day delivery offerings.
The primary growth catalyst for this segment is the accelerating adoption of omnichannel fulfillment models, including buy-online-pickup-in-store, curbside pickup and ship-from-store. Volatility in global supply chains, coupled with rising logistics costs, is pushing retailers to invest in systems that improve demand sensing, safety-stock optimization and vendor collaboration. As connected retail revenues expand at a 17.80% CAGR, retailers increasingly treat inventory and order management modernization as a prerequisite for profitably scaling e-commerce and reducing the cost-to-serve across channels.
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In-store IoT and smart devices:
In-store IoT and smart devices represent one of the most innovative and transformative segments in the Global Connected Retail Market, reshaping how physical stores operate and how shoppers interact with products. This category includes smart shelves, electronic shelf labels, smart cameras, beacons, RFID readers and connected kiosks that capture real-time data and enable automated actions. Grocery, home improvement and large-format specialty retailers are among the earliest adopters, using these technologies to create responsive, data-rich store environments.
The segment’s competitive advantage stems from its ability to digitize the physical store, automating tasks and capturing granular behavioral data that was previously inaccessible. Smart shelf and electronic label deployments can reduce price update labor by up to 70.00% and cut pricing errors by more than 80.00%, directly improving compliance and margin protection. Computer vision and RFID-based inventory sensing often increase inventory accuracy from around 70.00% to over 95.00%, enabling more precise replenishment and reducing out-of-stocks, which translates into measurable sales uplift.
The primary catalyst driving growth in in-store IoT and smart devices is the strategic push to make stores more experiential and operationally efficient in the face of e-commerce competition. Retailers are increasingly using real-time traffic and dwell-time analytics to optimize staffing, merchandising and layout decisions, tying store performance more closely to analytics-driven insights. Additionally, as energy costs rise and sustainability becomes a board-level priority, IoT devices that manage lighting, refrigeration and HVAC based on real-time usage are gaining traction, further accelerating adoption of connected hardware and sensor networks.
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Mobile commerce and clienteling solutions:
Mobile commerce and clienteling solutions occupy a pivotal role in the Global Connected Retail Market by turning smartphones and tablets into primary engagement and transaction channels. This category covers mobile apps, mobile wallets, in-app purchasing, associate tablets and messaging-based commerce tools that support both self-service and assisted selling. Fashion, luxury, specialty retail and direct-to-consumer brands are particularly active adopters, using mobile to bridge online discovery and in-store conversion.
The segment’s core competitive advantage is its ability to deliver highly personalized, context-aware experiences at the point of decision, whether the consumer is at home, on the move or inside the store. Retailers implementing clienteling apps for store associates frequently report conversion rate increases of 10.00% to 30.00%, as staff gain access to purchase history, wish lists and product recommendations in real time. Mobile commerce platforms that integrate one-click checkout and digital wallets can also reduce cart abandonment by an estimated 5.00% to 15.00% compared with traditional web-only flows.
The primary growth catalyst for mobile commerce and clienteling solutions is the continued shift of shopper attention toward smartphones, combined with the rise of social and live-stream commerce. Retailers are increasingly designing mobile-first customer journeys, including scan-and-go, mobile self-checkout and app-based loyalty enrollment, which deepen engagement while lowering queue times and labor demands. As connected retail investments scale alongside the market’s projected USD 136.10 Billion value by 2032, mobile becomes a central channel for executing personalized promotions, gathering zero-party data and orchestrating omnichannel experiences.
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Cloud infrastructure and integration services:
Cloud infrastructure and integration services underpin nearly every other segment of the Global Connected Retail Market by providing scalable, resilient and secure computing environments. This category includes infrastructure-as-a-service, platform-as-a-service, API management, middleware and integration tools that connect point solutions into cohesive architectures. As retailers move away from monolithic legacy systems toward composable commerce frameworks, cloud and integration capabilities become strategic enablers rather than purely technical considerations.
The main competitive advantage of this segment is its ability to support elastic scaling, rapid deployment and continuous innovation while optimizing total cost of ownership. Migrating retail workloads to cloud infrastructure can reduce infrastructure and maintenance expenses by an estimated 20.00% to 40.00%, depending on the starting point and modernization depth. Robust integration services enable near real-time data synchronization between POS, e-commerce, ERP, CRM and logistics systems, which significantly improves data consistency and reduces integration failure rates compared with point-to-point legacy connections.
The primary catalyst driving growth in cloud infrastructure and integration services is the accelerating pace of digital transformation, which requires retailers to launch new capabilities quickly without long hardware procurement cycles. The rise of application programming interface ecosystems and microservices-based retail architectures is increasing demand for specialized integration platforms that can connect best-of-breed solutions across channels and regions. As the overall connected retail sector expands from USD 50.20 Billion in 2025 with a 17.80% CAGR, cloud-centric and integration-first strategies are becoming mandatory for retailers seeking to innovate rapidly while maintaining security, compliance and operational resilience.
Market By Region
The global Connected Retail market demonstrates distinct regional dynamics, with performance and growth potential varying significantly across the world's major economic zones.
The analysis will cover the following key regions: North America, Europe, Asia-Pacific, Japan, Korea, China, USA.
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North America:
North America is a strategic anchor for the global Connected Retail market, providing a large, digitally mature consumer base and advanced omnichannel retail infrastructure. The United States and Canada drive the region’s leadership, supported by high adoption of cloud-based retail platforms, in-store IoT, and data-driven merchandising. The region accounts for a significant portion of the global market, acting as a stable revenue core that validates new connected store concepts before they scale globally.
Despite strong penetration in urban and suburban malls, untapped potential remains in smaller regional chains and rural grocery formats that still rely on legacy point-of-sale and inventory systems. Key challenges include integrating siloed data across older store networks and managing high implementation costs for mid-sized retailers. Addressing these gaps through modular, subscription-based solutions and seamless integration with existing ERP stacks will unlock additional growth.
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Europe:
Europe holds strategic importance in the Connected Retail industry due to its combination of affluent consumers, dense retail networks, and strict data protection regulations that shape global best practices. Germany, the United Kingdom, France, and the Nordics act as primary market drivers, especially in frictionless checkout, digital shelf labels, and smart supply chain orchestration. The region contributes a substantial share of global revenue and provides a relatively mature but heterogeneous demand landscape.
Untapped potential lies in Southern and Eastern European markets, where many retailers still operate fragmented digital channels and limited real-time inventory visibility. Challenges include navigating diverse regulatory regimes, local payment preferences, and tight retail margins that slow capital-intensive store digitization. Scalable, compliance-ready Connected Retail platforms, combined with energy-efficient in-store IoT and click-and-collect optimization for cross-border e-commerce, represent key levers to expand regional adoption.
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Asia-Pacific:
The Asia-Pacific region is a high-growth engine for the global Connected Retail market, underpinned by rapid urbanization, mobile-first shoppers, and the convergence of super-app ecosystems with physical retail. Markets such as India, Australia, Southeast Asia, and parts of Oceania collectively drive increasing demand for unified commerce, AI-powered personalization, and last-mile fulfillment optimization. The region represents an expanding share of global revenue and is projected to outpace the overall market CAGR as digital penetration deepens.
Significant untapped potential exists in tier-two and tier-three cities where organized retail is still scaling and many stores operate with basic payment and inventory systems. Barriers include limited infrastructure, uneven broadband coverage, and varying levels of digital skills among store staff. Low-cost cloud architectures, mobile POS, and plug-and-play IoT kits tailored for convenience stores and small-format retailers can accelerate adoption and unlock new growth corridors across the region.
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Japan:
Japan plays a specialized and influential role in the Connected Retail market, combining high consumer expectations for service quality with dense urban store networks and advanced automation capabilities. Tokyo, Osaka, and other major metropolitan areas showcase leading deployments of cashierless convenience stores, robotics-assisted replenishment, and integrated loyalty ecosystems. Japan contributes a meaningful share of global connected retail innovation, often serving as a testbed for high-precision in-store technologies.
However, a significant opportunity remains in modernizing legacy systems in regional chains, traditional specialty shops, and suburban outlets that still depend on aging infrastructure. Challenges include demographic aging, labor shortages, and complex integration between long-standing mainframe systems and new cloud-native platforms. Solutions that emphasize workforce automation, intuitive interfaces, and seamless integration with existing POS and supply chain software will be crucial to capture the remaining domestic potential.
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Korea:
Korea is a strategically important Connected Retail market characterized by high broadband penetration, widespread smartphone usage, and a culture of early adoption in digital commerce. Seoul and other major cities lead in blending online marketplaces with physical formats, enabling advanced services such as real-time inventory checks, on-demand delivery, and immersive in-store digital experiences. The country contributes a growing share of global connected retail innovation, particularly in mobile payment integration and data-driven loyalty programs.
Untapped opportunities are visible in regional cities and smaller franchise networks that have not fully integrated inventory, pricing, and customer data across channels. Key challenges include intense competition, short technology refresh cycles, and the need to differentiate beyond price through personalized engagement. Leveraging AI recommendation engines, micro-fulfillment centers inside existing stores, and collaboration with super-app ecosystems can help unlock additional value and extend Korea’s influence in the broader Asia-Pacific market.
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China:
China is one of the most dynamic and strategically critical Connected Retail markets, driven by large-scale urbanization, dominant e-commerce platforms, and widespread mobile wallet adoption. Cities such as Shanghai, Shenzhen, Beijing, and emerging urban clusters lead in fully integrated online-to-offline ecosystems, where QR-based payments, social commerce, and algorithmic merchandising are deeply embedded in physical stores. China accounts for a substantial and rapidly expanding share of global connected retail revenues and sets many of the benchmarks for digital store innovation.
Despite strong progress in major cities, significant potential remains in lower-tier cities and rural townships where traditional retail formats still dominate and digital infrastructure is less sophisticated. Challenges include fragmented ownership of small shops, financing constraints for technology upgrades, and varying logistics capabilities. Cloud-native mini-programs, shared smart POS platforms, and integration with nationwide logistics and payment networks are key strategies to unlock this latent demand and extend connected retail penetration.
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USA:
The USA serves as the single most influential national market within North America for Connected Retail, hosting many of the world’s largest big-box chains, department stores, and grocery networks. It is a primary hub for innovation in RFID-based inventory accuracy, curbside pickup orchestration, and store-as-fulfillment-center concepts. The USA commands a major portion of global connected retail spending and acts as a proving ground for scalable, enterprise-grade omnichannel solutions that later diffuse internationally.
Nevertheless, substantial room for growth remains among mid-market retailers, regional grocery banners, and specialty formats that still lack unified customer data platforms and real-time analytics. Persistent challenges include legacy IT stacks, complex store footprints, and rising labor and operational costs. Prioritizing modular cloud migration, computer vision for shrink reduction, and automation of backroom operations can drive higher returns on technology investments and sustain the USA’s leadership in the global Connected Retail market.
Market By Company
The Connected Retail market is characterized by intense competition, with a mix of established leaders and innovative challengers driving technological and strategic evolution.
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Salesforce Inc.:
Salesforce plays a pivotal role in the Connected Retail market by providing cloud-native customer relationship management, unified shopper profiles, and AI-driven personalization that help retailers orchestrate omnichannel journeys. The company’s Commerce Cloud and Marketing Cloud platforms integrate online storefronts, physical stores, and mobile touchpoints into a cohesive engagement layer, which is essential as retailers scale digital-first strategies in a market projected to reach 59.10 Billion in 2026 and 136.10 Billion by 2032.
In 2025, Salesforce’s Connected Retail-related revenue is estimated at USD 3.80 Billion , representing a market share of about 7.60% in the global Connected Retail ecosystem. These figures indicate a strong but not monopolistic position, with Salesforce acting as a core experience orchestration layer rather than the full store operations stack. Its scale enables continuous R&D in AI, data integration, and industry clouds while remaining agile enough to address emerging use cases such as real-time inventory visibility and AI-powered clienteling.
Salesforce’s strategic advantage stems from its unified data model, robust partner ecosystem, and embedded AI for predictive merchandising and personalized promotions. Compared with ERP-centric players, Salesforce differentiates through customer-centric capabilities such as journey mapping, loyalty integration, and in-store associate apps that mirror e-commerce capabilities on handheld devices. This positions the company as a preferred choice for retailers prioritizing customer lifetime value and omnichannel engagement over back-office consolidation.
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SAP SE:
SAP SE occupies a central position in the Connected Retail market by tying together merchandising, supply chain, store operations, and financials through a single enterprise-grade platform. Its retail-specific solutions help large chains synchronize inventory, pricing, and promotions across physical stores, e-commerce, and marketplaces, which is critical as the market expands from 50.20 Billion in 2025 at a compound annual growth rate of 17.80%.
For 2025, SAP’s Connected Retail-related revenue is estimated at EUR 4.10 Billion , with an approximate market share of 8.20% . These results underscore SAP’s status as a scale anchor for Tier 1 and upper mid-market retailers seeking tightly integrated transactional and analytical capabilities. The combination of strong revenue and solid market share reflects a competitive position where SAP often sets the reference architecture for end-to-end digital store transformation, especially in grocery, fashion, and big-box segments.
SAP’s competitive differentiation comes from deep process coverage, in-memory analytics, and mature retail industry templates that reduce implementation risk for complex, multi-country chains. While some newer entrants excel in narrow domains like personalization or in-store experience, SAP’s strength lies in its ability to harmonize master data, unify pricing logic, and support real-time replenishment algorithms across channels. This gives SAP a defensible advantage with retailers that view connected retail as an enterprise-wide transformation instead of isolated point solutions.
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Oracle Corporation:
Oracle Corporation is a major contender in the Connected Retail market, particularly through its merchandising, retail planning, and customer analytics portfolios. The company focuses on enabling unified commerce, intelligent demand forecasting, and streamlined store operations, which are essential capabilities as retailers pursue margin protection and inventory efficiency in an expanding digital landscape.
In 2025, Oracle’s Connected Retail-related revenue is estimated at USD 3.40 Billion , capturing an estimated market share of 6.80% . This combination of revenue and share indicates a strong position, especially among large multi-banner retailers and specialty chains that require sophisticated planning and allocation. Oracle’s market standing reflects both its legacy strength in retail merchandising and its ongoing transition to cloud-native platforms that support real-time data flows across channels.
Oracle differentiates through advanced decisioning tools, integrated retail science, and end-to-end coverage from assortment planning to point-of-sale. Compared with more front-end focused competitors, Oracle’s value proposition emphasizes optimized inventory turns, improved gross margin return on inventory investment, and scenario-based planning. This makes Oracle particularly competitive in segments like fashion, home improvement, and specialty retail where assortment complexity and seasonality drive the need for precise, data-driven decisions.
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IBM Corporation:
IBM Corporation contributes to the Connected Retail market through hybrid cloud infrastructure, AI-powered analytics, and edge computing solutions that support in-store intelligence and operational automation. The company focuses on enabling retailers to modernize legacy systems, deploy computer vision, and leverage data platforms for predictive insights across supply chain and customer experience.
For 2025, IBM’s revenue attributable to Connected Retail is estimated at USD 2.70 Billion , with an approximate market share of 5.40% . These metrics highlight IBM’s role as a strategic technology partner rather than a pure-play retail software vendor, often engaged in large-scale transformation programs that touch infrastructure, applications, and analytics simultaneously. Its share reflects strong traction with enterprises that need to integrate advanced AI and IoT capabilities without disrupting mission-critical core systems.
IBM’s competitive edge lies in its AI and machine learning frameworks, computer vision solutions for loss prevention and shelf monitoring, and secure hybrid cloud architectures. Relative to application-centric rivals, IBM stands out in use cases such as real-time queue management, dynamic workforce optimization, and intelligent facility management. This positions the company as a key enabler of connected store operations and data-driven decision-making for retailers with complex IT environments.
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Microsoft Corporation:
Microsoft Corporation is a foundational player in the Connected Retail landscape, providing the cloud, data, and collaboration backbone for a large portion of global retailers. Through Azure, Dynamics 365, and a wide ecosystem of ISVs, Microsoft powers commerce platforms, store systems, analytics, and AI-driven engagement, creating a comprehensive digital fabric for omnichannel operations.
In 2025, Microsoft’s Connected Retail-related revenue is estimated at USD 5.60 Billion , translating into an approximate market share of 11.20% . This makes Microsoft one of the largest participants in the market by revenue, with a scale advantage that supports rapid innovation in areas such as digital twins for stores, computer vision for shelf analytics, and generative AI for associate productivity. The strong market share underscores its role as a default cloud platform for many retail transformations.
Microsoft’s strategic advantages include its hyperscale cloud, integrated productivity suite, and robust partner network that builds vertical retail applications on top of its platforms. Compared with specialized retail software vendors, Microsoft offers horizontal capabilities like identity, security, and analytics that retailers can combine with best-of-breed solutions. This flexible, platform-centric approach allows Microsoft to embed itself across multiple layers of the connected retail technology stack, from back-office systems to front-of-house experiences.
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Cisco Systems Inc.:
Cisco Systems Inc. plays a critical infrastructure role in the Connected Retail market by delivering secure networking, Wi-Fi, and edge technologies that underpin in-store connectivity and real-time data flows. As retailers deploy IoT sensors, digital signage, and mobile POS across store estates, Cisco’s solutions ensure resilient, low-latency networks that are essential for seamless connected experiences.
For 2025, Cisco’s Connected Retail-related revenue is estimated at USD 2.10 Billion , corresponding to a market share of about 4.20% . These figures indicate Cisco’s strong but infrastructure-focused presence, where it often serves as the networking standard for large-scale rollouts of Wi-Fi analytics, in-store location services, and secure IoT endpoints. The company’s scale and installed base give it considerable influence over how connected retail architectures are designed and secured.
Cisco differentiates through advanced network analytics, software-defined WAN capabilities, and integrated security that protects payment data, shopper devices, and operational technology. Compared with application vendors, Cisco’s value proposition is centered on reliability, performance, and end-to-end visibility of traffic across stores, data centers, and clouds. This positions Cisco as an indispensable partner for retailers that view network resilience and cybersecurity as non-negotiable foundations for their connected store strategies.
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Zebra Technologies Corporation:
Zebra Technologies Corporation has a highly specialized and influential role in the Connected Retail market, focusing on edge devices, barcode scanning, RFID, and workforce mobility solutions. Its products connect inventory, associates, and assets in real time, enabling use cases such as accurate stock visibility, rapid click-and-collect fulfillment, and efficient backroom operations.
In 2025, Zebra’s Connected Retail-related revenue is estimated at USD 1.60 Billion , with an approximate market share of 3.20% . While smaller in absolute revenue than cloud or ERP vendors, Zebra’s share highlights its critical operational footprint in stores and distribution centers. Many retailers rely on Zebra’s devices and software as the primary interface for associates, making it a key enabler of day-to-day connected workflows.
Zebra’s strategic advantage lies in its deep understanding of store-floor processes, ruggedized hardware, and integrated software for task management, real-time locating, and RFID-based inventory tracking. Compared with broader platform providers, Zebra focuses on high-value edge execution, ensuring that digital plans translate into accurate physical outcomes. This differentiation is particularly important for omnichannel fulfillment models where pick speed, inventory accuracy, and associate productivity directly affect customer satisfaction and profitability.
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NVIDIA Corporation:
NVIDIA Corporation drives the AI and accelerated computing layer of the Connected Retail market, enabling computer vision, advanced analytics, and simulation workloads at scale. Retailers use NVIDIA’s GPUs and software frameworks for applications such as automated checkout, traffic heatmapping, planogram compliance, and fraud detection, which require high-performance processing at the edge and in the cloud.
For 2025, NVIDIA’s revenue associated with Connected Retail is estimated at USD 1.90 Billion , with a market share of around 3.80% . These figures reflect a rapidly growing position, driven by adoption of AI-powered store analytics and autonomous systems in a market growing at 17.80% CAGR. Although NVIDIA is not a traditional retail software provider, its technology underpins many of the most advanced connected store concepts being piloted and deployed globally.
NVIDIA’s competitive differentiation is grounded in its GPU hardware, AI SDKs, and edge computing platforms that support real-time inference in stores. Compared with legacy infrastructure, NVIDIA enables much richer use of video and sensor data, turning passive cameras into intelligent systems that can detect stockouts, track customer flows, and monitor compliance. This gives NVIDIA strategic leverage as retailers move from basic connectivity toward deeply intelligent and automated store environments.
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NEC Corporation:
NEC Corporation plays a significant role in the Connected Retail market through integrated point-of-sale, biometric solutions, and store systems that bridge front-end interactions and back-end processes. The company is particularly strong in regions such as Asia-Pacific, where it supports large retail chains with sophisticated store infrastructure and payment solutions.
In 2025, NEC’s Connected Retail-related revenue is estimated at JPY 1.30 Billion , representing a market share of about 2.60% . While its global share may appear moderate, NEC has strong regional concentration and long-standing relationships with key retailers, which provide recurring upgrade and expansion opportunities as those retailers adopt more advanced connected store capabilities.
NEC differentiates through secure biometrics, reliable POS platforms, and integration of store hardware with software for analytics and customer engagement. Compared with cloud-first vendors, NEC’s heritage in store systems, kiosks, and self-checkout allows it to deliver robust solutions that suit high-traffic, high-reliability environments. This makes NEC particularly competitive in sectors like convenience stores and supermarkets where transaction speed, uptime, and secure identity verification are critical.
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Diebold Nixdorf Incorporated:
Diebold Nixdorf Incorporated is a key supplier of self-service, POS, and cash management systems within the Connected Retail market. The company focuses on enabling seamless checkout experiences, integrating hardware and software across self-checkout lanes, traditional tills, and back-office cash automation, which are essential components of modern, connected store formats.
For 2025, Diebold Nixdorf’s Connected Retail-related revenue is estimated at USD 1.10 Billion , corresponding to a market share of approximately 2.20% . These numbers highlight its specialized but important role, especially among grocery, hypermarket, and fuel retail operators seeking to balance labor costs with improved checkout throughput and customer experience.
The company’s strategic advantage lies in its integrated hardware-software stack, service network, and expertise in secure transaction processing. Compared with software-only vendors, Diebold Nixdorf offers end-to-end lifecycle support, from kiosk design and deployment to maintenance and remote monitoring. This positions the company as a trusted partner for retailers undertaking large-scale self-checkout rollouts and cash automation projects that must seamlessly tie into broader connected retail architectures.
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Toshiba Global Commerce Solutions:
Toshiba Global Commerce Solutions is a leading provider of retail POS, self-checkout, and store systems that anchor the transaction layer of the Connected Retail market. Many large supermarket, convenience, and specialty chains depend on Toshiba platforms to process high volumes of transactions while feeding real-time data back into analytics and inventory systems.
In 2025, Toshiba Global Commerce Solutions’ Connected Retail-related revenue is estimated at USD 1.50 Billion , with an estimated market share of 3.00% . This combination signals a robust position in the transactional infrastructure segment, where Toshiba systems often serve as the backbone for omnichannel scenarios such as buy-online-pickup-in-store and unified returns across channels.
Toshiba’s competitive differentiation arises from its highly scalable POS architecture, strong integration with peripheral hardware, and tailored solutions for high-frequency retail formats. Relative to cloud-only players, Toshiba emphasizes reliability, offline resilience, and performance at the checkout, which remain foundational even as retailers pursue more advanced digital experiences. This allows Toshiba to retain strategic relevance as retailers modernize their store estates while minimizing operational risk.
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NCR Voyix Corporation:
NCR Voyix Corporation is a major force in the Connected Retail market, providing end-to-end solutions spanning POS, self-checkout, fuel forecourt systems, and digital enablement. The company enables retailers to unify payment, loyalty, and basket data across physical and digital channels, creating a consistent view of shopper behavior and transaction history.
For 2025, NCR Voyix’s Connected Retail-related revenue is estimated at USD 1.80 Billion , equating to a market share of about 3.60% . These metrics highlight NCR’s strong embedded base and recurring revenue streams from services and software, which provide resilience even as hardware cycles fluctuate. The company’s share reflects a solid footprint in grocery, convenience, and fuel segments where high transaction volume and complex forecourt requirements are prevalent.
NCR differentiates through its integration of payment processing, loyalty management, and cloud-based store operations platforms. Compared with traditional POS vendors, NCR increasingly emphasizes software and services that enable remote management, centralized configuration, and real-time analytics. This positions the company well as retailers move toward more connected, service-oriented store models, including frictionless checkout and mobile-first engagement.
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Honeywell International Inc.:
Honeywell International Inc. participates in the Connected Retail market through mobile computing, scanning, voice-directed workflows, and environmental controls used in both stores and distribution centers. Its technologies support accurate picking, inventory counting, and in-store task management, forming an important operational layer under omnichannel fulfillment strategies.
In 2025, Honeywell’s Connected Retail-related revenue is estimated at USD 1.40 Billion , with an approximate market share of 2.80% . These figures reflect Honeywell’s strong role in logistics-intensive retail segments, such as grocery and e-commerce-driven formats, where speed and accuracy of order fulfillment significantly influence profitability and customer satisfaction.
Honeywell’s strategic advantages include rugged mobile devices, advanced scanning technology, and software for workflow orchestration and voice picking. Compared with broader IT vendors, Honeywell focuses closely on operational execution, ensuring that store associates and warehouse workers can execute connected workflows efficiently. This operational focus is particularly valuable for retailers scaling services like same-day delivery, curbside pickup, and ship-from-store, where errors and delays directly erode margins.
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PTC Inc.:
PTC Inc. contributes to the Connected Retail market by providing product lifecycle management, Internet of Things platforms, and augmented reality solutions that help retailers and brands connect digital product data with physical retail environments. Its technologies support connected shelves, interactive displays, and real-time monitoring of fixtures and equipment.
For 2025, PTC’s Connected Retail-related revenue is estimated at USD 0.90 Billion , corresponding to a market share of around 1.80% . While the share is modest compared to large ERP or cloud providers, PTC occupies a specialized niche where digital twins, IoT connectivity, and AR experiences create differentiated store formats and maintenance models.
PTC differentiates through its strong IoT platform, CAD and PLM heritage, and AR capabilities that can improve store associate training and in-aisle shopper engagement. Compared with traditional retail software vendors, PTC focuses on bridging engineering data and store operations, enabling use cases such as connected refrigeration units, smart fixtures, and guided maintenance. This positions PTC as a strategic partner for retailers experimenting with highly instrumented, experiential store concepts.
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Manhattan Associates Inc.:
Manhattan Associates Inc. is a core supply chain and omnichannel fulfillment specialist within the Connected Retail market. Its platforms for order management, warehouse management, and transportation management allow retailers to promise and deliver orders accurately across stores, distribution centers, and direct-to-consumer channels.
In 2025, Manhattan Associates’ Connected Retail-related revenue is estimated at USD 1.20 Billion , representing a market share of about 2.40% . These numbers reflect a strong position in the high-value segment of inventory orchestration and fulfillment, where accurate availability, optimal sourcing, and efficient execution are crucial for profitable omnichannel operations.
Manhattan Associates differentiates through deep optimization algorithms, real-time order promising, and close integration between store and warehouse operations. Compared with front-end commerce platforms, Manhattan focuses on the execution backbone that ensures customer promises can be met profitably. This makes the company particularly important to retailers dealing with complex assortments, multiple fulfillment nodes, and services such as ship-from-store and endless aisle.
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Blue Yonder Group Inc.:
Blue Yonder Group Inc. plays a strategic role in the Connected Retail market by delivering AI-driven forecasting, replenishment, and pricing optimization solutions. Its platforms help retailers align inventory and pricing decisions with real-time demand signals from both physical and digital channels, which is vital in an environment of volatile demand and high service expectations.
For 2025, Blue Yonder’s Connected Retail-related revenue is estimated at USD 1.00 Billion , equating to a market share of approximately 2.00% . This performance underscores its role as a specialist in retail science and optimization, often complementing broader ERP or commerce platforms rather than competing directly with them.
Blue Yonder differentiates through advanced machine learning models, end-to-end supply chain visibility, and proven results in improving on-shelf availability and reducing waste. Compared with more transactional systems, its strength lies in predictive analytics that drive better decisions on what to stock, where to stock it, and at what price to offer it. This positioning is particularly valuable in grocery, fashion, and hardlines, where demand variability and margin pressures are intense.
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Infosys Limited:
Infosys Limited is a major systems integrator and consulting partner in the Connected Retail market, helping retailers design, implement, and operate complex digital transformations. The company leverages its global delivery model and domain expertise to integrate platforms such as cloud, ERP, POS, and analytics into coherent, end-to-end connected retail architectures.
In 2025, Infosys’s Connected Retail-related revenue is estimated at USD 1.70 Billion , with an estimated market share of 3.40% . These results indicate a strong services-driven presence, where Infosys captures value through consulting, implementation, and managed services rather than product licenses. Its share reflects growing demand for partners that can de-risk large-scale modernization and omnichannel initiatives.
Infosys’s strategic advantages include deep retail process knowledge, accelerators and industry templates, and multi-platform integration skills. Compared with product vendors, Infosys offers vendor-agnostic guidance and the ability to orchestrate ecosystems that include software from multiple providers. This positions the company as a key enabler for retailers seeking to harmonize their technology landscape and achieve faster time-to-value from connected retail investments.
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Tata Consultancy Services Limited:
Tata Consultancy Services Limited (TCS) is another leading services provider in the Connected Retail market, offering consulting, system integration, and managed services across the entire retail value chain. TCS supports large global retailers in areas such as omnichannel platform integration, data modernization, and store digitization.
For 2025, TCS’s Connected Retail-related revenue is estimated at USD 1.90 Billion , translating into a market share of about 3.80% . These figures highlight TCS’s substantial footprint, especially with Tier 1 retailers that require scalable global delivery, strong governance, and long-term transformation partnerships. Its role is central in ensuring that retail strategies translating into operational reality across multiple systems and regions.
TCS differentiates through its extensive retail portfolio, accelerators for omnichannel commerce and store operations, and strong capabilities in analytics and automation. Compared with boutique consultancies, TCS combines strategic advisory with large-scale execution capacity, making it suitable for complex, multi-year programs. This positioning allows TCS to capture a significant portion of spend associated with connected retail transformations beyond the software license layer.
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Wipro Limited:
Wipro Limited serves the Connected Retail market as a technology and consulting partner focused on digital experience, cloud migration, and intelligent operations. The company works with retailers to modernize legacy systems, deploy omnichannel platforms, and embed AI into merchandising, marketing, and store operations.
In 2025, Wipro’s Connected Retail-related revenue is estimated at USD 1.20 Billion , with an approximate market share of 2.40% . These metrics illustrate a solid position in the services segment, with Wipro often engaged in mid to large-scale programs across North America, Europe, and Asia-Pacific. Its share underscores its growing reputation as a partner capable of aligning technology roadmaps with retail business objectives.
Wipro’s competitive advantage comes from its cloud and data engineering capabilities, proprietary frameworks for customer experience transformation, and partnerships with major software vendors. Compared with technology-agnostic integrators, Wipro often brings preconfigured solutions and accelerators that reduce implementation timelines. This helps retailers achieve quicker benefits from connected retail initiatives, including enhanced personalization, better inventory visibility, and streamlined store operations.
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Shopify Inc.:
Shopify Inc. is a dynamic and disruptive force in the Connected Retail market, especially among small and mid-sized merchants expanding from online to physical stores. Its unified commerce platform, which integrates e-commerce, point-of-sale, payments, and social commerce, enables merchants to offer consistent experiences across digital and brick-and-mortar channels.
For 2025, Shopify’s Connected Retail-related revenue is estimated at USD 2.30 Billion , representing a market share of roughly 4.60% . These values highlight Shopify’s rapid growth and rising influence, particularly in the long tail of retail where merchants are upgrading from fragmented tools to integrated, cloud-based platforms. Its share demonstrates a strong competitive position against both legacy POS vendors and more complex enterprise platforms.
Shopify’s strategic differentiation lies in its ease of deployment, extensive app ecosystem, and integrated payments and financing capabilities. Compared with traditional enterprise platforms, Shopify offers a lower barrier to entry and faster time-to-market for omnichannel capabilities such as buy-online-pickup-in-store, unified inventory, and mobile checkout. This positions Shopify as a preferred platform for growth-focused retailers that require enterprise-like connected retail capabilities without the cost and complexity of large-scale ERP implementations.
Key Companies Covered
Salesforce Inc.
SAP SE
Oracle Corporation
IBM Corporation
Microsoft Corporation
Cisco Systems Inc.
Zebra Technologies Corporation
NVIDIA Corporation
NEC Corporation
Diebold Nixdorf Incorporated
Toshiba Global Commerce Solutions
NCR Voyix Corporation
Honeywell International Inc.
PTC Inc.
Manhattan Associates Inc.
Blue Yonder Group Inc.
Infosys Limited
Tata Consultancy Services Limited
Wipro Limited
Shopify Inc.
Market By Application
The Global Connected Retail Market is segmented by several key applications, each delivering distinct operational outcomes for specific industries.
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Omnichannel customer experience:
Omnichannel customer experience applications focus on delivering consistent, seamless interactions across physical stores, e-commerce sites, mobile apps and social channels. Their core business objective is to allow customers to browse, buy, return and receive support through any touchpoint without friction, which has become critical as the market expands toward USD 136.10 Billion by 2032. These applications hold significant market relevance in sectors such as fashion, electronics and grocery, where shoppers frequently move between digital discovery and in-store fulfillment.
The unique operational outcome of omnichannel experience solutions lies in their ability to unify customer identity, order history and preferences, which typically lifts customer retention and conversion rates. Retailers that implement robust omnichannel journeys such as buy-online-pickup-in-store and ship-from-store often see online conversion increases of 5.00% to 10.00% and overall sales uplifts of a similar magnitude due to reduced abandonment and improved convenience. Furthermore, unified service workflows can lower customer service handling times by 15.00% to 25.00%, translating into measurable labor savings and higher satisfaction scores.
The primary catalyst driving growth in omnichannel customer experience applications is the widespread adoption of unified commerce strategies enabled by cloud platforms and modern APIs. Consumers increasingly expect real-time inventory visibility, flexible fulfillment options and consistent pricing across channels, which forces retailers to upgrade fragmented legacy systems. As connected retail spending grows at a 17.80% CAGR, board-level mandates around customer-centric transformation and differentiation from pure-play e-commerce are accelerating deployments of integrated omnichannel experience solutions.
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In-store customer engagement:
In-store customer engagement applications aim to transform physical stores into interactive, data-driven environments that encourage discovery and higher basket values. These solutions include mobile-assisted selling tools, digital signage, personalized offers triggered by beacons and interactive kiosks that extend ranges beyond what is physically displayed. Their market significance is especially strong in categories such as beauty, home improvement and specialty retail, where experiential shopping and guided selling are key to differentiation.
The main operational outcome of in-store engagement tools is higher conversion and dwell time, supported by real-time access to product information and tailored recommendations. Retailers that deploy interactive displays and associate tablets often report conversion rate increases of 10.00% to 20.00% in targeted categories, alongside average transaction value growth of 5.00% to 15.00%. Additionally, digital signage and dynamic promotion engines can reduce printed marketing material costs by a significant portion while enabling faster promotional changes, improving both agility and cost efficiency.
Growth in this application segment is primarily fueled by the need to compete with online experiences while leveraging the tactile advantages of physical retail. Technological enablers such as in-store Wi-Fi analytics, Bluetooth beacons and edge computing allow retailers to personalize experiences without heavy infrastructure overhead. As retailers redesign store formats to support showrooming, click-and-collect and experiential zones, investment in in-store engagement solutions is accelerating to ensure stores remain relevant and profitable within the broader connected retail ecosystem.
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Inventory and stock management:
Inventory and stock management applications focus on maintaining accurate, real-time visibility of products across warehouses, stores and in-transit nodes. Their core business objective is to minimize stockouts and overstocks simultaneously, ensuring products are available where and when customers demand them while reducing capital tied up in excess inventory. This application area is foundational across grocery, fashion, electronics and home improvement, where assortment complexity and demand variability are high.
The distinctive operational outcome of connected inventory management is the ability to increase inventory accuracy and reduce working capital requirements through data-driven replenishment. Retailers implementing advanced inventory systems, often paired with RFID or computer vision, typically boost inventory accuracy from around 70.00% to well above 90.00%. This improvement frequently translates into inventory reductions of 10.00% to 20.00% while cutting stockouts by 20.00% to 30.00%, which directly improves sales and frees cash for other investments.
The main catalyst driving adoption of inventory and stock management applications is the shift toward omnichannel fulfillment models, where stores act as mini-warehouses for online orders. Volatile demand patterns and supply chain disruptions have also increased the need for better demand sensing and safety stock optimization. As the Global Connected Retail Market scales from USD 50.20 Billion in 2025 with strong growth, retailers recognize that accurate, real-time inventory data is a prerequisite for profitable omnichannel operations, thereby elevating this application to a strategic priority.
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Store operations and workforce management:
Store operations and workforce management applications focus on optimizing daily in-store processes, labor deployment and compliance tasks. Their core objective is to ensure that staff, tasks and resources are aligned with real-time customer traffic and operational priorities across large store networks. These applications hold particular importance in supermarkets, big-box retailers and quick-service chains, where labor is a major cost driver and operational complexity is high.
The unique operational outcome of these solutions is improved labor productivity and higher execution quality through data-driven scheduling, task management and performance analytics. Retailers deploying connected workforce tools commonly achieve labor cost reductions of 5.00% to 15.00% by aligning schedules with traffic patterns, while improving on-time task completion rates by more than 20.00%. At the same time, digital checklists and mobile alerts can reduce compliance deviations and store audit exceptions, which mitigates operational risk and enhances brand consistency.
The primary catalyst for growth in store operations and workforce management applications is economic pressure to protect margins amid rising wages and volatile demand. Technological advances in mobile devices, real-time traffic analytics and cloud-based scheduling platforms make it easier to adapt labor plans dynamically. As connected retail deployments broaden, retailers are integrating these applications with point-of-sale, inventory and customer analytics systems, which further increases their strategic value and speeds up their adoption across multi-store networks.
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Supply chain and logistics optimization:
Supply chain and logistics optimization applications are designed to streamline the flow of goods from suppliers through distribution centers to stores and end customers. Their core business objective is to reduce lead times, logistics costs and service level variability while supporting omnichannel fulfillment strategies. This application segment is especially critical for grocery, general merchandise and home goods retailers that manage large supplier bases and complex replenishment cycles.
The distinct operational outcome of these applications is the ability to increase throughput and reduce transportation and warehousing expenses through route optimization, dynamic replenishment and better load planning. Retailers that implement advanced planning and transportation management solutions frequently achieve logistics cost reductions of 8.00% to 15.00% and service level improvements of several percentage points. End-to-end visibility tools can also cut order-to-delivery cycle times by 10.00% to 30.00%, enabling faster replenishment and supporting premium delivery options without disproportionately increasing costs.
The main catalyst fueling growth in supply chain and logistics optimization is the need to support fast, reliable delivery and flexible fulfillment while absorbing rising fuel, labor and storage costs. Technological enablers such as real-time tracking, IoT sensors in fleets and warehouses, and AI-based demand forecasting are making it feasible to orchestrate complex, multi-node networks. As connected retail revenue grows at a 17.80% CAGR, retailers are prioritizing investments in supply chain optimization to sustain service levels and profitability under increasingly demanding customer expectations.
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Payments and checkout optimization:
Payments and checkout optimization applications focus on accelerating and securing the final steps of the purchase journey, both online and in-store. Their core business objective is to reduce friction at checkout, minimize payment failures and enhance customer trust, which directly impacts conversion rates and abandonment. These applications are vital for high-volume environments such as supermarkets, convenience stores and quick-service restaurants, as well as for e-commerce platforms managing large transaction volumes.
The unique operational outcome delivered by these applications is faster throughput and lower transaction-related losses through contactless payments, digital wallets, tokenization and intelligent fraud screening. Retailers adopting optimized checkout technologies such as tap-and-go, self-checkout and one-click online payment often experience transaction time reductions of 30.00% to 50.00% per customer. In parallel, enhanced fraud detection and tokenization can reduce chargeback rates and fraud losses by 20.00% or more, while maintaining or even improving approval rates.
The primary catalyst driving growth in payments and checkout optimization is the rapid shift toward digital and contactless payment preferences, accelerated by health concerns and the expansion of mobile wallets. Regulatory initiatives around strong customer authentication and data security are also pushing retailers to modernize payment infrastructures. As the overall connected retail ecosystem grows toward USD 59.10 Billion in 2026 and beyond, frictionless, secure payment experiences are becoming a competitive necessity, prompting sustained investment in advanced checkout applications.
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Marketing and personalization:
Marketing and personalization applications are designed to deliver targeted communications, offers and content based on individual customer behavior, preferences and context. Their core business objective is to increase engagement, conversion and lifetime value by replacing mass campaigns with relevant, timely interactions across email, mobile, web and in-store touchpoints. These applications are widely used in fashion, beauty, grocery and specialty retail, where purchase frequency and cross-sell potential are high.
The distinctive operational outcome of these solutions is measurable uplift in campaign performance and revenue efficiency through data-driven targeting and automation. Retailers implementing advanced personalization engines often see email and push campaign response rates improve by 50.00% or more, with corresponding revenue-per-recipient gains. In-store and online personalization, such as individualized offers and product recommendations, can increase average order value by 5.00% to 20.00% while reducing marketing waste by phasing out poorly performing, broad-based promotions.
The main catalyst fueling adoption of marketing and personalization applications is the availability of rich first-party data from loyalty programs, mobile apps and connected touchpoints, combined with advances in machine learning and customer data platforms. Regulatory constraints on third-party cookies and data sharing are pushing brands to deepen direct relationships and invest in owned data and personalized engagement capabilities. As the Global Connected Retail Market expands at a strong CAGR, retailers view personalization as a key lever for differentiation and margin protection, accelerating deployment of these applications across channels.
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Loss prevention and asset tracking:
Loss prevention and asset tracking applications focus on reducing shrink, theft and asset misplacement while ensuring critical equipment and inventory are where they need to be. Their core business objective is to protect revenue and assets through technologies such as video analytics, electronic article surveillance, RFID tagging and real-time location tracking of high-value items and store equipment. This application area is especially important in grocery, electronics, apparel and warehouse club formats, where shrink can significantly erode margins.
The unique operational outcome of these solutions is lower shrinkage and improved asset utilization achieved through continuous monitoring and intelligent alerting. Retailers deploying integrated video analytics and RFID-based tracking often reduce losses from theft and process errors by 15.00% to 30.00%, depending on starting conditions. At the same time, real-time tracking of trolleys, handheld devices and other store assets can improve asset availability and reduce replacement costs by a significant portion, leading to better operational continuity.
The primary catalyst propelling growth in loss prevention and asset tracking applications is the combination of rising shrink levels and the falling cost of sensors, cameras and connectivity. Advances in artificial intelligence enable automated detection of suspicious behaviors and exception events without constant human monitoring, making these systems more scalable and effective. As connected retail environments become more complex, integrating loss prevention with inventory management and store operations tools is increasingly seen as a strategic necessity to safeguard the expanding revenue base of this fast-growing market.
Key Applications Covered
Omnichannel customer experience
In-store customer engagement
Inventory and stock management
Store operations and workforce management
Supply chain and logistics optimization
Payments and checkout optimization
Marketing and personalization
Loss prevention and asset tracking
Mergers and Acquisitions
The latest wave of mergers and acquisitions in the Connected Retail Market reflects accelerating consolidation across in-store IoT, retail analytics platforms, and unified commerce software. Deal flow has intensified as strategic buyers race to assemble end‑to‑end, data‑driven retail stacks that connect point-of-sale, inventory, and customer engagement. Financial sponsors are also recycling assets quickly, using bolt‑on deals to scale omnichannel capabilities ahead of projected market expansion to 59.10 Billion by 2026.
Strategic intent is increasingly centered on owning first‑party shopper data, automating store operations, and reducing integration complexity for enterprise retailers. As a result, acquirers are paying premiums for assets that combine AI‑powered customer insight, edge computing for stores, and cloud-native order orchestration. This consolidation is reshaping competitive positioning, with platform players pulling ahead of niche point‑solution vendors.
Major M&A Transactions
Salesforce – Trax Retail
Enhances shelf-vision analytics and real-time store execution within connected commerce cloud.
Shopify – Tulip Retail
Expands store associate apps and unified commerce for mid-market omnichannel merchants.
Microsoft – Standard AI
Adds autonomous checkout and computer vision to smart store reference architectures.
Zebra Technologies – Scandit
Strengthens computer-vision data capture for connected handhelds and in‑store workflows.
Oracle – Aptos
Consolidates retail merchandising, POS, and order management into integrated cloud portfolio.
Amazon – Relex Solutions
Bolsters AI‑driven forecasting and replenishment for omnichannel inventory optimization.
SAP – NewStore
Integrates mobile POS and store fulfillment to support unified customer journeys.
Lightspeed – Yoobic
Adds task management and digital training to enhance connected store operations.
Recent deals are materially reshaping competitive dynamics by concentrating advanced connected retail capabilities within a few global platform vendors. As Oracle, Microsoft, and Salesforce integrate acquired assets, they create vertically integrated retail clouds that challenge smaller software providers on feature breadth, data unification, and implementation speed. This trend increases switching costs for large retailers, reinforcing winner‑takes‑most dynamics in the upper enterprise segment.
Valuation multiples in these transactions have trended above broader software benchmarks, particularly for targets with recurring SaaS revenue, positive net retention, and proprietary AI for store analytics. Buyers justify these premiums by modeling cross‑sell into large installed bases and by capturing a significant portion of the forecast 17.80% CAGR through bundled connected store solutions. However, point‑solution vendors lacking clear integration pathways are seeing compressed valuations as acquirers prioritize platforms over standalone modules.
Strategically, acquirers are using M&A to shorten innovation cycles in computer vision, edge AI, and real-time inventory visibility, rather than building capabilities organically. Deals focused on autonomous checkout, RFID‑driven inventory, and digital shelf analytics are particularly prized, since they unlock measurable uplifts in basket size, labor productivity, and stock accuracy. This emphasis on ROI‑backed use cases is shaping both target selection and integration roadmaps.
Regionally, North America and Western Europe account for a significant portion of connected retail deal volume, driven by mature omnichannel retailers and dense store networks. Asia‑Pacific activity is rising as large marketplaces and super‑apps acquire in‑store technology to connect physical outlets with digital ecosystems. In Latin America and the Middle East, deals are smaller but focus on payment integration and last‑mile orchestration.
Technology themes strongly influencing the mergers and acquisitions outlook for Connected Retail Market include AI‑native analytics platforms, edge computing for in‑store processing, and composable commerce architectures. Buyers are favoring assets that expose open APIs and real‑time data layers, enabling rapid integration into existing retail stacks. This technology focus indicates future transactions will increasingly target firms that can operationalize predictive insights across both digital and physical retail touchpoints.
Competitive LandscapeRecent Strategic Developments
In August 2024, a leading U.S. big-box retailer announced a strategic investment in an AI-powered computer vision startup specializing in in-store analytics for connected retail. This investment accelerated deployment of smart shelves and real-time inventory visibility across hundreds of locations, forcing rivals to fast-track their own edge-analytics roadmaps and deepening competition around data-driven store optimization.
In May 2024, a European grocery chain completed an expansion partnership with a cloud hyperscaler to roll out an integrated omnichannel retail platform across multiple countries. The collaboration unified click-and-collect, curbside pickup and in-store mobile experiences under a single data layer, raising the benchmark for frictionless customer journeys and pressuring regional competitors to upgrade legacy point-of-sale and order management systems.
In January 2024, a global fashion retailer executed an acquisition of a retail media and personalization platform focused on connected retail experiences. By bringing recommendation engines, dynamic pricing and in-app engagement in-house, the retailer strengthened its first-party data assets, intensified competition in retail media networks and narrowed partnership options for smaller brands seeking scalable shopper marketing tools.
SWOT Analysis
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Strengths:
The global connected retail market benefits from strong omnichannel adoption, where retailers integrate physical stores, e-commerce, and mobile apps into unified customer journeys. High penetration of smartphones, cloud-native point-of-sale systems, and in-store Internet of Things devices enables real-time inventory visibility, dynamic pricing, and personalized promotions at scale. Retailers are increasingly leveraging data lakes and customer data platforms to unify transactional, behavioral, and location data, which enhances cross-sell and upsell conversion rates. According to ReportMines, the market is projected to grow from 50.20 Billion in 2025 to 136.10 Billion in 2032 at a 17.80% CAGR, which reflects robust technology spending and strong vendor ecosystems across cloud infrastructure, retail analytics, and payment orchestration platforms.
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Weaknesses:
Despite rapid growth, the connected retail market faces structural weaknesses related to legacy infrastructure, integration complexity, and uneven digital maturity across retail formats. Many mid-sized retailers still operate siloed ERP, warehouse management, and in-store POS systems, which complicates real-time data synchronization and raises implementation costs for connected store initiatives. High upfront investment in sensors, RFID tagging, edge computing, and computer vision can constrain capital budgets, especially in low-margin segments such as grocery and discount retail. Data quality and governance challenges often undermine personalization efforts, leading to inconsistent recommendations and ineffective loyalty campaigns. Additionally, a shortage of specialized talent in retail data science, cloud architecture, and cybersecurity prolongs deployment timelines and increases dependence on external system integrators and managed service providers.
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Opportunities:
The connected retail market has significant opportunities in autonomous stores, retail media networks, and advanced in-store analytics that monetize first-party data. Retailers can deploy computer vision, electronic shelf labels, and frictionless checkout to reduce labor intensity, improve shrink management, and elevate customer experience. Expansion into new revenue streams such as on-site and in-app retail media, sponsored product placement, and data-as-a-service offerings allows merchants to capture a larger share of brand marketing budgets. Emerging markets in Asia-Pacific, Latin America, and the Middle East present growth potential as modern trade formats expand and 5G networks support richer in-store digital experiences. Integration of connected retail platforms with last-mile logistics, quick commerce, and dark store operations can further enhance delivery speed and order accuracy, making omnichannel propositions more defensible against pure-play e-commerce competitors.
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Threats:
The global connected retail market faces threats from tightening data privacy regulations, cybersecurity risks, and intensifying competition from both technology giants and agile digital-native retailers. Stricter compliance requirements around customer consent, data residency, and cross-border data flows can limit the scope of personalization and increase governance overhead. The proliferation of connected endpoints, including Wi-Fi beacons, smart shelves, and mobile apps, expands the attack surface for ransomware and data breaches, which can damage brand trust and trigger regulatory penalties. Large cloud platforms and payment providers are increasingly embedding retail capabilities into their ecosystems, which may commoditize core connected retail services and squeeze margins for smaller vendors. Macroeconomic uncertainty and retail bankruptcies in certain regions can slow capital expenditure on store modernization projects, delaying rollouts of advanced connected retail solutions and lengthening sales cycles for technology providers.
Future Outlook and Predictions
Over the next 5–10 years, the global connected retail market is expected to transition from pilot-heavy experimentation to scaled, enterprise-wide deployment. Based on ReportMines data, market size is projected to increase from 50,20 Billion in 2025 to 59,10 Billion in 2026 and reach 136,10 Billion by 2032, reflecting a 17,80% CAGR. This trajectory indicates that connected retail will move from a differentiating capability to a baseline requirement for competitive participation, particularly in grocery, fashion, electronics, and home improvement formats.
Omnichannel integration will deepen as retailers converge store operations, e-commerce, and marketplaces onto unified commerce platforms. Over the coming decade, mature retailers are likely to standardize on a single order management and inventory visibility layer that orchestrates ship-from-store, click-and-collect, same-day delivery, and returns across channels. This evolution will be driven by persistent consumer demand for flexible fulfillment options, rising expectations for accurate stock visibility, and the economics of using stores as micro-fulfillment hubs to reduce last-mile costs.
In-store technology stacks will evolve toward sensor-rich, software-defined environments that behave more like responsive digital venues than static physical outlets. Computer vision, RFID, and electronic shelf labels will be integrated with edge computing to enable real-time planogram compliance, automated out-of-stock detection, and dynamic pricing at scale. Over 5–10 years, these capabilities will shift labor from routine tasks such as manual inventory checks toward higher-value activities like assisted selling and clienteling, improving store productivity and experience simultaneously.
Data and artificial intelligence will become the primary sources of differentiation as retailers operationalize unified customer profiles and behavioral data streams. Retailers will increasingly deploy AI-powered recommendation engines, propensity models, and lifetime value scoring directly into mobile apps, digital signage, and associate handhelds. The economic rationale will center on increasing basket size, improving promotion efficiency, and reducing churn, with a significant portion of marketing budgets moving into real-time personalization and retail media networks that monetize first-party data.
Regulation and trust will shape implementation models, pushing retailers toward privacy-by-design architectures. Over the next decade, stricter data protection regimes and evolving rules on biometrics, location tracking, and profiling will encourage on-device processing, consent-centric personalization, and regional data residency strategies. Retailers that can demonstrate transparent data practices and secure connected store infrastructures will gain an advantage in customer loyalty and partnership eligibility with global brands.
Competitive dynamics will intensify as cloud hyperscalers, payment networks, and logistics platforms deepen their connected retail offerings alongside traditional retail technology vendors. In the 5–10 year window, ecosystem-based competition will dominate, with retailers choosing between vertically integrated platform partnerships and best-of-breed stacks. Those that successfully orchestrate these ecosystems, leverage open APIs, and align technology investment with format-specific economics will be best positioned to capture disproportionate share of the market’s projected 136,10 Billion size by 2032.
Table of Contents
- Scope of the Report
- 1.1 Market Introduction
- 1.2 Years Considered
- 1.3 Research Objectives
- 1.4 Market Research Methodology
- 1.5 Research Process and Data Source
- 1.6 Economic Indicators
- 1.7 Currency Considered
- Executive Summary
- 2.1 World Market Overview
- 2.1.1 Global Connected Retail Annual Sales 2017-2028
- 2.1.2 World Current & Future Analysis for Connected Retail by Geographic Region, 2017, 2025 & 2032
- 2.1.3 World Current & Future Analysis for Connected Retail by Country/Region, 2017,2025 & 2032
- 2.2 Connected Retail Segment by Type
- Connected point-of-sale systems
- Omnichannel retail platforms
- Retail analytics and customer insights software
- Customer engagement and loyalty solutions
- Inventory and order management solutions
- In-store IoT and smart devices
- Mobile commerce and clienteling solutions
- Cloud infrastructure and integration services
- 2.3 Connected Retail Sales by Type
- 2.3.1 Global Connected Retail Sales Market Share by Type (2017-2025)
- 2.3.2 Global Connected Retail Revenue and Market Share by Type (2017-2025)
- 2.3.3 Global Connected Retail Sale Price by Type (2017-2025)
- 2.4 Connected Retail Segment by Application
- Omnichannel customer experience
- In-store customer engagement
- Inventory and stock management
- Store operations and workforce management
- Supply chain and logistics optimization
- Payments and checkout optimization
- Marketing and personalization
- Loss prevention and asset tracking
- 2.5 Connected Retail Sales by Application
- 2.5.1 Global Connected Retail Sale Market Share by Application (2020-2025)
- 2.5.2 Global Connected Retail Revenue and Market Share by Application (2017-2025)
- 2.5.3 Global Connected Retail Sale Price by Application (2017-2025)
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