Smart Retail Market Size, Share, Industry Growth, Trends & Analysis 2036

Smart Retail Market Size, Share, Industry Growth, Trends & Analysis by System (Smart Payment Systems, Intelligent Vending Machines), Application (Foot-traffic Monitoring, Inventory Management), Retail Offering (Fast-moving Consumer Goods, Hardlines & Leisure Goods), & Geography - Global Forecast to 2036

Report Code: SE 6479 Jun, 2026, by marketsandmarkets.com

Smart Retail Market Summary

The global Smart Retail Market is rapidly evolving as retailers shift from traditional operations to digitally connected, data-driven ecosystems. The market size was estimated at around USD 32.0–35.0 billion in 2025 and is projected to reach approximately USD 105.0–125.0 billion by 2036, expanding at a compound annual growth rate (CAGR) of 10%–12% during the forecast period. This growth trajectory is largely driven by the widespread adoption of artificial intelligence (AI), Internet of Things (IoT), and automation technologies that are redefining customer engagement, inventory management, and in-store experiences. Retailers are increasingly investing in smart solutions such as cashier-less checkout systems, AI-based recommendation engines, and real-time analytics platforms to remain competitive in an increasingly digital landscape. The push toward omnichannel retailing, combined with rising consumer expectations for personalized and seamless shopping experiences, is further accelerating the transformation of the Smart Retail Market globally.

Key Market Trends & Insights

The Smart Retail Market is witnessing a strong shift toward intelligent automation and hyper-personalized consumer experiences. North America continues to dominate the market, supported by early adoption of advanced retail technologies and strong investments in AI-driven platforms. Asia Pacific is emerging as the fastest-growing region, driven by rapid digitalization, increasing smartphone penetration, and the expansion of organized retail sectors.

Hardware components such as RFID tags, smart shelves, and digital signage currently represent the dominant segment due to their foundational role in enabling smart retail infrastructure. However, software solutions powered by AI and cloud computing are gaining momentum as retailers prioritize customer data analytics and personalization. Emerging trends include computer vision-based checkout systems, voice-assisted shopping, and predictive analytics for demand forecasting.

Automation is playing a critical role in reducing operational costs and improving efficiency. Retailers are deploying robotic systems for inventory management and warehouse operations, while IoT devices enable real-time monitoring of store activities and customer behavior. The integration of AI and automation is enabling retailers to create seamless, frictionless shopping experiences that enhance customer satisfaction and loyalty.

Market Size & Forecast

Base Year Market Size (2025): USD 32.0–35.0 Billion
Forecast Value (2036): USD 105.0–125.0 Billion
CAGR (2025–2036): 10%–12%
Growth Drivers: Increasing adoption of AI and IoT technologies, rising demand for personalized shopping experiences, automation in retail operations, and expansion of omnichannel retail strategies

Smart Retail Market Top 10 key takeaway

Smart retail is transforming physical stores into intelligent digital ecosystems
AI-driven personalization is enhancing customer engagement and loyalty
North America leads due to early adoption of smart technologies
Asia Pacific is the fastest-growing region with strong digital expansion
Hardware components such as RFID and smart shelves dominate the market
Automation is reducing operational costs and improving store efficiency
IoT enables real-time tracking of inventory and customer behavior
Omnichannel retail strategies are becoming essential for competitiveness
Data analytics is driving smarter and faster decision-making
Cashier-less stores and autonomous retail formats are gaining traction

Product Insights

The Smart Retail Market is largely driven by the hardware segment, which includes essential components such as RFID systems, smart shelves, digital displays, and self-checkout kiosks. These technologies are fundamental to enabling real-time inventory management, reducing shrinkage, and improving overall store efficiency. Smart shelves, for instance, use embedded sensors and weight detection systems to monitor stock levels and automatically trigger restocking alerts, thereby minimizing out-of-stock scenarios and improving customer satisfaction.

Despite the dominance of hardware, the software segment is experiencing faster growth, fueled by the increasing importance of data-driven decision-making in retail. AI-powered analytics platforms are enabling retailers to gain deep insights into customer preferences, purchasing behavior, and market trends. These insights are used to optimize pricing strategies, enhance product recommendations, and improve marketing campaigns.

Emerging product categories in the Smart Retail Market include cashier-less store systems, augmented reality (AR)-based shopping applications, and interactive digital kiosks. These innovations are designed to enhance the in-store experience and bridge the gap between online and offline retail channels. The integration of AI with hardware systems is enabling autonomous retail environments, where technologies such as computer vision and machine learning algorithms can track customer movements, identify purchased items, and process payments without human intervention.

Technology / Component Insights

The Smart Retail Market is powered by a convergence of advanced technologies, including artificial intelligence, Internet of Things, cloud computing, big data analytics, and automation. AI is at the core of smart retail transformation, enabling predictive analytics, demand forecasting, and personalized marketing. Retailers are leveraging AI algorithms to analyze vast amounts of customer data and generate actionable insights that enhance decision-making and improve customer engagement.

IoT plays a crucial role in connecting various devices within the retail ecosystem, such as sensors, cameras, and smart shelves. These devices collect real-time data on inventory levels, customer behavior, and store performance, allowing retailers to optimize operations and improve efficiency. The ability to monitor and control store environments remotely is a key advantage of IoT-enabled retail systems.

Cloud computing provides the infrastructure necessary to store and process large volumes of data, enabling scalability and flexibility. Retailers can use cloud-based platforms to manage multiple store locations, access real-time insights, and deploy updates seamlessly across their networks. Automation technologies, including robotics and self-service systems, are reducing the need for manual labor and improving operational efficiency.

Looking ahead, future innovations in the Smart Retail Market are expected to focus on edge computing and 5G connectivity, which will enable faster data processing and real-time decision-making. The integration of digital twins and advanced simulation tools is also anticipated to enhance store planning and operational efficiency.

Application Insights

In-store operations represent the largest application segment in the Smart Retail Market, as retailers increasingly adopt smart technologies to enhance customer experience and streamline operations. Technologies such as smart shelves, automated checkout systems, and digital signage are being used to improve store efficiency and reduce wait times.

Supply chain management is another critical application area, where smart retail solutions are used to optimize logistics, improve inventory accuracy, and reduce delivery times. The integration of AI and IoT in supply chain operations enables real-time tracking of goods, predictive demand forecasting, and efficient route planning.

E-commerce integration is becoming increasingly important as retailers adopt omnichannel strategies to provide a seamless shopping experience across online and offline platforms. Future opportunities in the Smart Retail Market include the adoption of immersive technologies such as augmented reality and virtual reality, which can enhance customer engagement and provide unique shopping experiences. Additionally, sustainability initiatives are driving the adoption of energy-efficient systems and waste reduction technologies in retail operations.

Regional Insights

North America holds the largest share of the Smart Retail Market, driven by advanced technological infrastructure, high consumer adoption of digital solutions, and significant investment in AI and automation technologies. The United States is a key contributor, with major retailers implementing smart store concepts and leveraging data analytics to enhance customer experiences.

Europe is a mature market characterized by strong regulatory frameworks and a focus on sustainability. Countries such as Germany and the United Kingdom are leading the adoption of smart retail technologies, with a strong emphasis on energy efficiency and digital transformation.

Asia Pacific is the fastest-growing region in the Smart Retail Market, fueled by rapid urbanization, increasing disposable incomes, and the expansion of organized retail sectors. China and Japan are at the forefront of this growth, investing heavily in smart retail technologies to improve operational efficiency and meet evolving consumer demands.

North America leads due to advanced infrastructure and early adoption
Europe emphasizes sustainability and digital innovation
Asia Pacific is the fastest-growing region
Government initiatives are supporting digital retail transformation
Rising consumer demand is driving global market expansion

Country-Specific Market Trends

In Asia Pacific, China is experiencing rapid growth with a CAGR of 12.5%–14.0%, driven by strong government support and widespread adoption of digital technologies in retail. Japan, with a CAGR of 11.0%–12.5%, is focusing on automation and robotics to address labor shortages and enhance operational efficiency.

In North America, the United States dominates the market with a CAGR of 10.0%–11.5%, supported by high investment in AI and strong consumer demand for seamless shopping experiences. Canada and Mexico are also witnessing steady growth due to increasing adoption of smart retail solutions and expansion of retail infrastructure.

In Europe, Germany leads with a CAGR of 9.5%–10.5%, driven by innovation and a strong industrial base, while France is focusing on enhancing customer experience through digital technologies and smart retail initiatives.

China leads APAC with strong digital transformation initiatives
Japan focuses on automation and robotics adoption
United States dominates North America market
Germany leads Europe with innovation-driven growth
France emphasizes customer-centric smart retail solutions

Key Smart Retail Company Insights

The Smart Retail Market is highly competitive, with several global players focusing on innovation, technology integration, and strategic partnerships. Companies are investing heavily in AI-powered solutions, IoT-enabled systems, and cloud-based platforms to enhance retail efficiency and customer experience. The competitive landscape is characterized by continuous product innovation, mergers and acquisitions, and collaborations between technology providers and retail companies.

Key players in the market include Amazon Web Services Inc., IBM Corporation, Microsoft Corporation, Intel Corporation, NVIDIA Corporation, Cisco Systems Inc., SAP SE, Honeywell International Inc., and Oracle Corporation. These companies are developing integrated solutions that combine hardware, software, and services to create comprehensive smart retail ecosystems.

Companies are investing in AI-driven retail technologies
Strategic partnerships are expanding market reach
Cloud-based solutions are gaining widespread adoption
Continuous R&D is driving innovation
IoT integration enhances operational efficiency

Recent Developments

The Smart Retail Market has witnessed several significant developments, highlighting the rapid pace of technological innovation. Leading retailers have introduced AI-powered cashier-less stores that enable customers to shop without traditional checkout processes, improving convenience and reducing wait times.

Technology companies have partnered with retail chains to develop advanced analytics platforms that provide real-time insights into customer behavior and inventory management. Additionally, new product launches include smart shelves equipped with IoT sensors and computer vision technology, enabling automated inventory tracking and improved store efficiency.

Market Segmentation

The Smart Retail Market is segmented based on product, technology/component, application, and region. By product, the market includes hardware components such as RFID systems, smart shelves, and digital signage, as well as software solutions including analytics platforms and customer relationship management systems. In terms of technology, the market is driven by AI, IoT, cloud computing, and automation technologies. Applications include in-store operations, supply chain management, and omnichannel retail. Regionally, the market is segmented into North America, Europe, Asia Pacific, and the rest of the world.

Hardware and software represent key product segments
AI, IoT, and automation drive technological advancements
Applications include in-store and supply chain operations
Regional segmentation highlights global market dynamics
Integration of technologies drives overall market growth

The Smart Retail Market is set to witness substantial growth through 2036, driven by the increasing adoption of AI, IoT, and automation technologies. As retailers continue to adapt to changing consumer expectations and competitive pressures, the demand for smart retail solutions will continue to rise.

The integration of advanced technologies is transforming retail operations, enabling data-driven decision-making and enhancing customer engagement. Businesses that invest in smart retail technologies are likely to gain a significant competitive advantage in the evolving retail landscape. With strong growth potential and continuous innovation, the Smart Retail Market will play a critical role in shaping the future of global retail.

FAQs

1. What is the current size of the Smart Retail Market?
The market size is estimated at USD 32.0–35.0 billion in 2025.

2. What is the expected growth rate of the market?
The market is expected to grow at a CAGR of 10.5%–12.5% from 2025 to 2036.

3. What are the key drivers of the market?
Key drivers include adoption of AI and IoT, automation in retail, and demand for personalized shopping experiences.

4. Which region leads the Smart Retail Market?
North America currently leads the market.

5. Who are the major players in the market?
Major companies include Amazon Web Services Inc., IBM Corporation, and Microsoft Corporation.

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TABLE OF CONTENTS

1 INTRODUCTION (Page No. - 20)
    1.1 STUDY OBJECTIVES
    1.2 MARKET DEFINITION & SCOPE
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 SCOPE
           1.3.1 MARKETS COVERED
           1.3.2 YEARS CONSIDERED
    1.4 CURRENCY
    1.5 LIMITATIONS
    1.6 MARKET STAKEHOLDERS

2 RESEARCH METHODOLOGY (Page No. - 24)
    2.1 RESEARCH DATA
           2.1.1 SECONDARY DATA
                    2.1.1.1 Secondary sources
           2.1.2 PRIMARY DATA
                    2.1.2.1 Primary sources
                    2.1.2.2 Key industry insights
                    2.1.2.3 Breakdown of primaries
    2.2 MARKET SIZE ESTIMATION
           2.2.1 BOTTOM-UP APPROACH
                    2.2.1.1 Approach for capturing market size using bottom-up analysis (demand side)
           2.2.2 TOP-DOWN APPROACH
                    2.2.2.1 Approach for capturing market share using top-down analysis (supply side)
    2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
    2.4 RESEARCH ASSUMPTIONS

3 EXECUTIVE SUMMARY (Page No. - 35)

4 PREMIUM INSIGHTS (Page No. - 39)
    4.1 ATTRACTIVE GROWTH OPPORTUNITIES IN SMART RETAIL MARKET
    4.2 MARKET, BY REGION
    4.3 MARKET, BY SYSTEM AND APPLICATION
    4.4 MARKET, BY COUNTRY

5 MARKET OVERVIEW (Page No. - 42)
    5.1 INTRODUCTION
    5.2 MARKET DYNAMICS
           5.2.1 DRIVERS
                    5.2.1.1 Increasing use of robots and automation to offer shopping convenience to customers
                    5.2.1.2 Rising adoption of big data analytics, machine learning, blockchain, and artificial intelligence technologies by retailers
                    5.2.1.3 Changing customer expectations leading to increased use of smart technologies by retailers
           5.2.2 RESTRAINTS
                    5.2.2.1 Increased maintenance costs of advanced high-end computing systems
                    5.2.2.2 High risks of customer data thefts
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Increase in number of smart stores to lead to rise in adoption of self-delivery vehicles
                    5.2.3.2 Rise in use of technologies by retailers to directly connect with end users
           5.2.4 CHALLENGES
                    5.2.4.1 Increase in instances of shoplifting
    5.3 VALUE CHAIN ANALYSIS

6 INDUSTRY TRENDS AND CASE STUDIES (Page No. - 50)
    6.1 INTRODUCTION
    6.2 INDUSTRY TRENDS
           6.2.1 IN-STORE EXPERIENCE
                    6.2.1.1 Do it yourself (DIY)
                    6.2.1.2 Product customization
                    6.2.1.3 Extended services
                    6.2.1.4 Entertainment
                    6.2.1.5 New store concepts
                    6.2.1.6 Innovative merchandising
           6.2.2 BUILDING COMMUNITY
                    6.2.2.1 Creating social links
                    6.2.2.2 Sharing and developing expertise
           6.2.3 RETAIL FOR GOOD
                    6.2.3.1 Transparency and traceability
                    6.2.3.2 Sustainability
                    6.2.3.3 Making the world better place
           6.2.4 HIGH-TECH STORES
                    6.2.4.1 Personalized experience
                    6.2.4.2 Visual recognition and cashierless stores
                    6.2.4.3 Mobile apps
                    6.2.4.4 AR, VR, and voice commerce
                    6.2.4.5 Robots
    6.3 CASE STUDY
           6.3.1 SEPHORA (SPAIN): AI-BASED MIRROR (SMART MIRROR)
           6.3.2 AMAZON GO (US): AUTOMATED RETAIL STORE
           6.3.3 KROGER (US): DIGITAL DISPLAY SOLUTION
           6.3.4 ZARA (SPAIN): AUGMENTED REALITY SOLUTION
           6.3.5 JACK & JONES (CHINA): FACIAL RECOGNITION SOLUTION
           6.3.6 HEMA SUPERMARKET (CHINA): CASHIERLESS STORE

7 SMART RETAIL MARKET-COVID-19 IMPACT ANALYSIS (Page No. - 56)

8 SMART RETAIL MARKET, BY SYSTEM (Page No. - 57)
    8.1 INTRODUCTION
    8.2 DIGITAL SIGNAGE SOLUTIONS
           8.2.1 DISPLAYS
                    8.2.1.1 Rise in demand for high picture quality, attractive designs, and high specification-based displays spurring demand for digital signage solutions in retail stores
           8.2.2 MEDIA PLAYERS, PCS, AND SET-TOP BOXES
                    8.2.2.1 Increase in use of digital signage solutions in retail stores to engage customers
           8.2.3 MOUNTS & CABLES
                    8.2.3.1 Emergence of mounts & cables as essential components of digital signage hardware
    8.3 SMART LABELS
           8.3.1 SMART BEACONS
                    8.3.1.1 Rise in adoption of smartphones increases demand for smart beacons
                    8.3.1.2 BLE
                               8.3.1.2.1 Low cost, long battery life, and simple design of BLE to spur its market growth
                    8.3.1.3 Hybrid
                               8.3.1.3.1 Rise in number of sensors increases demand for hybrid Bluetooth solutions
           8.3.2 ELECTRONIC SHELF LABELS
                    8.3.2.1 LCD electronic shelf labels
                               8.3.2.1.1 Low costs of LCD ESLs lead to increase in their demand
                    8.3.2.2 Segmented E-paper electronic shelf labels
                               8.3.2.2.1 Segmented E-paper ESLs enable energy savings
                    8.3.2.3 Full-graphic E-paper electronic shelf labels
                               8.3.2.3.1 Advancements in segmented E-paper ESLs lead to increase in their demand
    8.4 SMART PAYMENT SYSTEMS
           8.4.1 NFC-READY POS TERMINALS
                    8.4.1.1 Increase in use of NFC-ready POS terminals due to their advanced features
           8.4.2 NFC-READY MPOS TERMINALS
                    8.4.2.1 Mobile point-of-sale terminals enable smooth financial transactions to improve customer experience
    8.5 INTELLIGENT VENDING MACHINES
           8.5.1 INTELLIGENT VENDING MACHINES HELP IMPROVE CUSTOMER EXPERIENCE AND INCREASE PROFIT MARGINS
    8.6 AUGMENTED REALITY SOLUTIONS
           8.6.1 TECHNOLOGICAL ADVANCEMENTS IN AR SOLUTIONS TO FUEL GROWTH OF SMART RETAIL MARKET
    8.7 VIRTUAL REALITY SOLUTIONS
           8.7.1 VIRTUAL REALITY TECHNOLOGY ENHANCES CUSTOMER EXPERIENCE LEADING TO INCREASE STORE FOOT-TRAFFIC
    8.8 POS SOLUTIONS
           8.8.1 CONTACTLESS CHECKOUTS INCREASE DEMAND FOR ADVANCED POS SOLUTIONS
           8.8.2 INTERACTIVE KIOSKS
                    8.8.2.1 Deployment of interactive kiosks speeds up checkout lines in stores
           8.8.3 SELF-CHECKOUT SOLUTIONS
                    8.8.3.1 Ease of use and management of self-checkout solutions maximize merchandising, increase advertisement space, and promote brand presence of retailers
    8.9 SMART CARTS
           8.9.1 DEMAND FOR EASY SELF-CHECKOUTS TO INCREASE DEMAND FOR SMART CARTS
    8.10 ROBOTICS
           8.10.1 RISE IN ADOPTION OF ROBOTS IN RETAIL STORES TO PERFORM VARIOUS TASKS
    8.11 ANALYTICS
           8.11.1 ARTIFICIAL INTELLIGENCE
                    8.11.1.1 Increase in adoption of AI technology in retail stores to enhance shopping experience of customers

9 SMART RETAIL MARKET, BY APPLICATION (Page No. - 88)
    9.1 INTRODUCTION
    9.2 FOOT-TRAFFIC MONITORING
           9.2.1 FOOT-TRAFFIC MONITORING SEGMENT HELD LARGEST SHARE OF SMART RETAIL MARKET IN 2019
    9.3 PREDICTIVE EQUIPMENT MAINTENANCE
           9.3.1 INCREASE IN ADOPTION OF PREDICTIVE MAINTENANCE SOLUTIONS TO SAVE TIME AND MONEY OF RETAILERS
    9.4 INVENTORY MANAGEMENT
           9.4.1 RISE IN DEMAND FOR ROBOTS AND ELECTRONIC SHELF LABELS IN RETAIL STORES TO MANAGE INVENTORIES
    9.5 SMART FITTING ROOMS
           9.5.1 SURGE IN DEPLOYMENT OF SMART FITTING ROOMS IN STORES
    9.6 BRAND PROTECTION
           9.6.1 INCREASE IN ADOPTION OF BRAND PROTECTION SOLUTIONS BY RETAILERS TO PROTECT THEIR NAME AND CUSTOMERS
    9.7 LOYALTY MANAGEMENT AND PAYMENTS
           9.7.1 RISE IN NUMBER OF LOYALTY PROGRAMS BY RETAILERS TO RETAIN AND VALUE THEIR CUSTOMERS

10 SMART RETAIL MARKET, BY RETAIL OFFERING (Page No. - 93)
     10.1 INTRODUCTION
     10.2 APPAREL AND ACCESSORIES
             10.2.1 CHANGE IN EXPECTATIONS OF CUSTOMERS TO INCREASE DEMAND FOR SMART MIRRORS IN APPAREL AND ACCESSORIES STORES WORLDWIDE
     10.3 FAST-MOVING CONSUMER GOODS
             10.3.1 SMART RETAIL TECHNOLOGIES HELP CUSTOMERS TO LOCATE FRAUDULENT PRODUCTS AND AWARE THEM ABOUT HIGH PRICES OF PRODUCTS
     10.4 HARDLINES AND LEISURE GOODS
             10.4.1 INCREASE IN DEMAND FOR AR/VR SOLUTIONS TO ELIMINATE ONLINE BUY-TRY AND RETURN PROCESS
     10.5 OTHERS

11 TECHNOLOGIES USED FOR SMART RETAIL OPERATIONS (Page No. - 97)
     11.1 INTRODUCTION
     11.2 VISUAL RECOGNITION
     11.3 BLOCKCHAIN
     11.4 ARTIFICIAL INTELLIGENCE (AI)
     11.5 MOBILE

12 GEOGRAPHIC ANALYSIS (Page No. - 99)
     12.1 INTRODUCTION
     12.2 NORTH AMERICA
             12.2.1 US
                        12.2.1.1 Presence of smart retail solution providers and consumers in US
             12.2.2 CANADA
                        12.2.2.1 Increase in number of international brand stores to spur growth of market in Canada
             12.2.3 MEXICO
                        12.2.3.1 Entry of well-established retail players to propel market growth in Mexico
     12.3 EUROPE
             12.3.1 UK
                        12.3.1.1 Presence of prominent retail supermarkets in UK to spur market growth
             12.3.2 GERMANY
                        12.3.2.1 Existence of prominent retail stores to fuel growth of smart retail market in Germany
             12.3.3 FRANCE
                        12.3.3.1 Rise in use of automation to overcome challenges faced during in-store processes
             12.3.4 ITALY
                        12.3.4.1 Presence of numerous retailers to contribute to growth of smart retail market in Italy
             12.3.5 SPAIN
                        12.3.5.1 Increase in adoption of advanced smart retail solutions by shopping centers to lead to growth of smart retail market in Spain
             12.3.6 REST OF EUROPE
     12.4 APAC
             12.4.1 CHINA
                        12.4.1.1 Significant dominance of retail industry in China expected to create growth opportunities for smart retail market in country
             12.4.2 JAPAN
                        12.4.2.1 Government initiatives to promote cashierless stores in Japan to fuel growth of market
             12.4.3 SOUTH KOREA
                        12.4.3.1 Entry of new players in retail industry of South Korea to fuel growth of smart retail market in country
             12.4.4 INDIA
                        12.4.4.1 Emergence of cashierless stores in India to propel growth of smart retail market in country
             12.4.5 REST OF APAC
     12.5 ROW
             12.5.1 MIDDLE EAST AND AFRICA
                        12.5.1.1 Rapidly growing population to contribute growth of smart retail market in Middle East and Africa
             12.5.2 SOUTH AMERICA
                        12.5.2.1 Urbanization and increased focus of global players on adoption of advanced technologies to contribute to growth of smart retail market in South America

13 COMPETITIVE LANDSCAPE (Page No. - 113)
     13.1 INTRODUCTION
     13.2 MARKET RANKING ANALYSIS OF PLAYERS IN SMART RETAIL MARKET, 2019
     13.3 COMPETITIVE LEADERSHIP MAPPING
             13.3.1 VISIONARY LEADERS
             13.3.2 DYNAMIC DIFFERENTIATORS
             13.3.3 INNOVATORS
             13.3.4 EMERGING COMPANIES
     13.4 COMPETITIVE SCENARIO
             13.4.1 PRODUCT LAUNCHES AND DEVELOPMENTS
             13.4.2 EXPANSIONS
             13.4.3 PARTNERSHIPS, AGREEMENTS, JOINT VENTURES, AND COLLABORATIONS
             13.4.4 ACQUISITIONS

14 COMPANY PROFILES (Page No. - 126)
(Business Overview, Products/Solutions/Services Offered, Recent Developments, SWOT Analysis, and MnM View)*
     14.1 INTRODUCTION
     14.2 KEY PLAYERS
             14.2.1 IBM
             14.2.2 INTEL CORPORATION
             14.2.3 CISCO SYSTEMS INC.
             14.2.4 NXP SEMICONDUCTORS N.V.
             14.2.5 MICROSOFT
             14.2.6 HUAWEI INVESTMENT & HOLDING CO., LTD.
             14.2.7 NVIDIA CORPORATION
             14.2.8 SAMSUNG ELECTRONICS
             14.2.9 GOOGLE INC.
             14.2.10 PTC INC.
             14.2.11 TRIGO
             14.2.12 STANDARD COGNITION
             14.2.13 CAPER INC.
             14.2.14 ZIPPIN
     14.3 RIGHT TO WIN
     14.4 OTHER KEY PLAYERS
             14.4.1 LG DISPLAY CO., LTD.
             14.4.2 PAR TECHNOLOGY CORPORATION
             14.4.3 TEXAS INSTRUMENTS INC.
             14.4.4 STMICROELECTRONICS N.V.
             14.4.5 HONEYWELL INTERNATIONAL INC.
             14.4.6 ROBERT BOSCH GMBH
             14.4.7 SOFTBANK ROBOTICS GROUP CORP.
             14.4.8 BROADCOM INC.
             14.4.9 INGENICO
             14.4.10 VERIFONE, INC.
             14.4.11 FIRST DATA CORPORATION
             14.4.12 NCR CORPORATION
             14.4.13 INFINEON TECHNOLOGIES AG
             14.4.14 DIEBOLD NIXDORF, INCORPORATED
             14.4.15 PRICER
             14.4.16 PROBIZ TECHNOLOGIES PRVT LTD.
             14.4.17 SES-IMAGOTAG
             14.4.18 E INK HOLDINGS INC.
             14.4.19 BOSSA NOVA ROBOTICS
             14.4.20 FIVE ELEMENTS ROBOTICS
     14.5 END USERS
             14.5.1 AMAZON.COM, INC.
             14.5.2 ALIBABA GROUP HOLDING LIMITED
             14.5.3 WALMART INC.
             14.5.4 ALBERT HEIJN BV (AHOLD DELHAIZE)
             14.5.5 LOTTE
     14.6 OTHER PLAYERS
             14.6.1 ESTIMOTE, INC.
             14.6.2 AWM SMART SHELF
             14.6.3 SMARTCART
             14.6.4 COZY INFOSYSTEMS
             14.6.5 FOCAL SYSTEMS INC.

*Details on Business Overview, Products/Solutions/Services Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.

15 APPENDIX (Page No. - 193)
     15.1 DISCUSSION GUIDE
     15.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
     15.3 AVAILABLE CUSTOMIZATIONS
     15.4 RELATED REPORTS
     15.5 AUTHOR DETAILS

LIST OF TABLES (77 TABLES)

TABLE 1 SMART RETAIL MARKET, BY SYSTEM, 2017–2025 (USD MILLION)
TABLE 2 MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 3 MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY HARDWARE, 2017–2025 (USD MILLION)
TABLE 4 MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY DISPLAY, 2017–2025 (USD MILLION)
TABLE 5 MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY DISPLAY, 2017–2025 (MILLION UNITS)
TABLE 6 MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY APPLICATION, 2017–2025 (MILLION UNITS)
TABLE 7 MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY REGION, 2017–2025 (USD MILLION)
TABLE 8 MARKET FOR SMART BEACONS, BY TYPE, 2017–2025 (USD MILLION)
TABLE 9 MARKET FOR SMART BEACONS, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 10 MARKET FOR SMART BEACONS, BY HARDWARE, 2017–2025 (USD MILLION)
TABLE 11 MARKET FOR SMART BEACONS, BY SOFTWARE, 2017–2025 (USD MILLION)
TABLE 12 MARKET FOR SMART BEACONS, BY REGION, 2017–2025 (USD MILLION)
TABLE 13 MARKET FOR ESL, BY PRODUCT, 2017–2025 (USD MILLION)
TABLE 14 MARKET FOR ESL, BY COMMUNICATION TECHNOLOGY, 2017–2025 (USD MILLION)
TABLE 15 MARKET FOR ESL, BY COMPONENT, 2017–2025 (USD MILLION)
TABLE 16 MARKET FOR ESL, BY REGION, 2017–2025 (USD MILLION)
TABLE 17 MARKET FOR ESL, BY REGION, 2017–2025 (MILLION UNITS)
TABLE 18 SMART RETAIL MARKET FOR SMART PAYMENT SYSTEMS, BY POS TERMINAL, 2017–2025 (MILLION UNITS)
TABLE 19 MARKET FOR SMART PAYMENT SYSTEMS, BY POS TERMINAL, 2017–2025 (USD MILLION)
TABLE 20 MARKET FOR POS TERMINAL, BY REGION, 2017–2025 (USD MILLION)
TABLE 21 MARKET FOR INTELLIGENT VENDING MACHINES, BY REGION, 2017–2025 (USD MILLION)
TABLE 22 MARKET FOR AUGMENTED REALITY SOLUTIONS, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 23 SMART RETAIL MARKET FOR AUGMENTED REALITY SOLUTIONS, BY DEVICE TYPE, 2017–2025 (USD MILLION)
TABLE 24 MARKET FOR AUGMENTED REALITY SOLUTIONS, BY DEVICE TYPE, 2017–2025 (THOUSAND UNITS)
TABLE 25 MARKET FOR AUGMENTED REALITY SOLUTIONS, BY APPLICATION, 2017–2025 (USD MILLION)
TABLE 26 SMART RETAIL MARKET FOR AUGMENTED REALITY SOLUTIONS, BY RETAIL TYPE, 2017–2025 (MILLION UNITS)
TABLE 27 MARKET FOR AUGMENTED REALITY SOLUTIONS, BY REGION, 2017–2025 (USD MILLION)
TABLE 28 MARKET FOR VIRTUAL REALITY SOLUTIONS, BY DEVICE TYPE, 2017–2025 (USD MILLION)
TABLE 29 MARKET FOR VIRTUAL REALITY SOLUTIONS, BY DEVICE TYPE, 2017–2025 (THOUSAND UNITS)
TABLE 30 MARKET FOR VIRTUAL REALITY SOLUTIONS, BY REGION, 2017–2025 (THOUSAND UNITS)
TABLE 31 MARKET FOR POS SOLUTIONS, BY SYSTEM, 2017–2025 (USD MILLION)
TABLE 32 MARKET FOR POS SOLUTIONS, BY SYSTEM, 2017–2025 (THOUSAND UNITS)
TABLE 33 MARKET FOR POS SOLUTIONS, BY REGION, 2017–2025 (USD MILLION)
TABLE 34 MARKET FOR INTERACTIVE KIOSKS, BY REGION, 2017–2025 (USD MILLION)
TABLE 35 MARKET FOR SELF-CHECKOUT SOLUTIONS, BY REGION, 2017–2025 (USD MILLION)
TABLE 36 MARKET FOR SMART CARTS, BY REGION, 2017–2025 (USD MILLION)
TABLE 37 MARKET FOR SMART CARTS, BY REGION, 2017–2025 (UNITS)
TABLE 38 SMART RETAIL MARKET FOR ROBOTICS, BY APPLICATION, 2017–2025 (UNITS)
TABLE 39 MARKET FOR ROBOTICS, BY APPLICATION, 2017–2025 (USD MILLION)
TABLE 40 MARKET FOR ROBOTICS, BY REGION, 2017–2025 (USD MILLION)
TABLE 41 MARKET FOR ROBOTICS, BY OFFERING, 2017–2025 (MILLION UNITS)
TABLE 42 MARKET FOR AI, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 43 MARKET FOR AI, BY HARDWARE, 2017–2025 (USD MILLION)
TABLE 44 MARKET FOR AI, BY PROCESSOR, 2017–2025 (USD MILLION)
TABLE 45 MARKET FOR AI IN HARDWARE, BY REGION, 2017–2025 (USD MILLION)
TABLE 46 MARKET FOR AI, BY SOFTWARE, 2017–2025 (USD MILLION)
TABLE 47 MARKET FOR AI IN SOFTWARE, BY DEPLOYMENT TYPE, 2017–2025 (USD MILLION)
TABLE 48 MARKET FOR AI, BY PLATFORM, 2017–2025 (USD MILLION)
TABLE 49 MARKET FOR AI, BY SERVICE, 2017–2025 (USD MILLION)
TABLE 50 MARKET FOR AI, BY TECHNOLOGY, 2017–2025 (USD MILLION)
TABLE 51 MARKET FOR AI IN MACHINE LEARNING, BY TYPE, 2017–2025 (USD MILLION)
TABLE 52 MARKET FOR AI IN CONTEXT AWARENESS, BY PROCESS, 2017–2025 (USD MILLION)
TABLE 53 MARKET FOR AI, BY APPLICATION, 2017–2025 (USD MILLION)
TABLE 54 MARKET FOR AI IN SHELF MONITORING, BY REGION, 2017–2025 (USD MILLION)
TABLE 55 MARKET FOR AI IN CUSTOMER RELATIONSHIP MANAGEMENT, BY REGION, 2017–2025 (USD MILLION)
TABLE 56 SMART RETAIL MARKET FOR AI IN VISUAL MONITORING, BY REGION, 2017–2025 (USD MILLION)
TABLE 57 MARKET FOR AI IN PRICE OPTIMIZATION, BY REGION, 2017–2025 (USD MILLION)
TABLE 58 MARKET FOR AI IN LOCATION-BASED MARKETING, BY REGION, 2017–2025 (USD MILLION)
TABLE 59 MARKET FOR AI IN SELF-CHECKOUT SYSTEMS, BY REGION, 2017–2025 (USD MILLION)
TABLE 60 MARKET FOR AI, BY REGION, 2017–2025 (USD MILLION)
TABLE 61 MARKET, BY APPLICATION, 2017–2025 (USD MILLION)
TABLE 62 MARKET, BY RETAIL OFFERING, 2017–2025 (USD MILLION)
TABLE 63 MARKET, BY REGION, 2017–2025 (USD MILLION)
TABLE 64 MARKET IN NORTH AMERICA, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 65 MARKET IN EUROPE, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 66 MARKET IN APAC, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 67 MARKET IN ROW, BY REGION, 2017–2025 (USD MILLION)
TABLE 68 RANKING ANALYSIS OF KEY COMPANIES FOR DIGITAL SIGNAGE SOLUTIONS
TABLE 69 RANKING ANALYSIS OF KEY COMPANIES FOR SMART LABELS
TABLE 70 RANKING ANALYSIS OF KEY COMPANIES FOR SMART PAYMENT SYSTEMS
TABLE 71 RANKING ANALYSIS OF KEY COMPANIES FOR INTELLIGENT SYSTEMS
TABLE 72 RANKING ANALYSIS OF KEY COMPANIES FOR ROBOTICS
TABLE 73 RANKING ANALYSIS OF KEY COMPANIES FOR ANALYTICS
TABLE 74 PRODUCT LAUNCHES AND DEVELOPMENTS, 2017–2019
TABLE 75 EXPANSIONS, 2017–2020
TABLE 76 PARTNERSHIPS, AGREEMENT, JOINT VENTURES, AND COLLABORATIONS, 2017–2020
TABLE 77 ACQUISITIONS, 2019

LIST OF FIGURES (55 FIGURES)

FIGURE 1 SMART RETAIL MARKET: RESEARCH DESIGN
FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 BOTTOM-UP (SUPPLY SIDE): REVENUE GENERATED BY COMPANIES FROM SALES OF SMART RETAIL SOLUTIONS
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 BOTTOM-UP (SUPPLY SIDE): ILLUSTRATIVE EXAMPLE OF COMPANY OPERATING IN SMART RETAIL MARKET
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2 – BOTTOM UP (DEMAND SIDE): REGIONS COVERED UNDER SMART RETAIL MARKET
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
FIGURE 7 DATA TRIANGULATION
FIGURE 8 SMART PAYMENT SYSTEMS SEGMENT TO ACCOUNT FOR LARGEST SIZE OF SMART RETAIL MARKET FROM 2020 TO 2025
FIGURE 9 SMART FITTING ROOMS SEGMENT OF SMART RETAIL MARKET TO GROW AT HIGHEST CAGR FROM 2020 TO 2025
FIGURE 10 FAST-MOVING CONSUMER GOODS SEGMENT OF SMART RETAIL MARKET TO GROW AT HIGHEST CAGR FROM 2020 TO 2025
FIGURE 11 NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE OF SMART RETAIL MARKET IN 2025
FIGURE 12 INCREASING ADOPTION OF ROBOTICS AND AUTOMATION IN RETAIL SECTOR TO SPUR GROWTH OF SMART RETAIL MARKET FROM 2020 TO 2025
FIGURE 13 NORTH AMERICA TO RECORD LARGEST SHARE IN SMART RETAIL MARKET IN 2019 AND 2025
FIGURE 14 SMART PAYMENT SYSTEMS AND FOOT-TRAFFIC MONITORING SEGMENTS TO ACCOUNT FOR LARGEST SHARES OF SMART RETAIL MARKET IN 2025
FIGURE 15 MARKET IN CHINA TO GROW AT HIGHEST CAGR FROM 2020 TO 2025
FIGURE 16 MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
FIGURE 17 MARKET: DRIVERS AND THEIR IMPACT
FIGURE 18 MARKET: RESTRAINTS AND THEIR IMPACT
FIGURE 19 MARKET: OPPORTUNITIES AND THEIR IMPACT
FIGURE 20 MARKET: CHALLENGES AND THEIR IMPACT
FIGURE 21 VALUE CHAIN OF SMART RETAIL MARKET
FIGURE 22 MARKET, BY SYSTEM
FIGURE 23 ROBOTICS SEGMENT IS EXPECTED TO WITNESS HIGHEST CAGR IN SMART RETAIL MARKET FROM 2020 TO 2025
FIGURE 24 HYBRID SEGMENT OF SMART BEACON MARKET EXPECTED TO GROW AT HIGH CAGR FROM 2020 TO 2025
FIGURE 25 HEAD-MOUNTED DISPLAYS SEGMENT OF MARKET FOR AUGMENTED REALITY SOLUTIONS TO GROW AT HIGHEST CAGR FROM 2020 TO 2025
FIGURE 26 SHELF AUDITING SEGMENT OF MARKET FOR TO GROW AT HIGH CAGR FROM 2020 TO 2025
FIGURE 27 MARKET, BY APPLICATION
FIGURE 28 SMART FITTING ROOMS SEGMENT OF SMART RETAIL MARKET PROJECTED TO GROW AT HIGHEST CAGR FROM 2020 TO 2025
FIGURE 29 MARKET, BY RETAIL OFFERING
FIGURE 30 FAST-MOVING CONSUMER GOODS SEGMENT OF SMART RETAIL MARKET PROJECTED TO GROW AT HIGHEST CAGR FROM 2020 TO 2025
FIGURE 31 TECHNOLOGIES USED FOR SMART RETAIL OPERATIONS
FIGURE 32 REGIONAL SEGMENTATION OF MARKET
FIGURE 33 SMART RETAIL MARKET IN APAC TO GROW AT HIGHEST CAGR FROM 2020 TO 2025
FIGURE 34 NORTH AMERICA: MARKET SNAPSHOT
FIGURE 35 EUROPE: MARKET SNAPSHOT
FIGURE 36 APAC: MARKET SNAPSHOT
FIGURE 37 MARKET IN CHINA TO GROW AT HIGHEST CAGR FROM 2020 TO 2025
FIGURE 38 COMPANIES ADOPTED PRODUCT LAUNCHES AND DEVELOPMENTS AS KEY GROWTH STRATEGY FROM JANUARY 2017 TO JANUARY 2020
FIGURE 39 RANKING OF TOP 5 PLAYERS IN SMART RETAIL MARKET
FIGURE 40 MARKET (GLOBAL) COMPETITIVE LEADERSHIP MAPPING, 2019
FIGURE 41 MARKET EVALUATION FRAMEWORK- PRODUCT LAUNCHES AND DEVELOPMENTS FUELED GROWTH AND INNOVATIONS FROM 2017 TO 2020
FIGURE 42 IBM: COMPANY SNAPSHOT
FIGURE 43 INTEL CORPORATION: COMPANY SNAPSHOT
FIGURE 44 CISCO SYSTEMS INC.: COMPANY SNAPSHOT
FIGURE 45 NXP SEMICONDUCTORS N.V.: COMPANY SNAPSHOT
FIGURE 46 MICROSOFT: COMPANY SNAPSHOT
FIGURE 47 HUAWEI INVESTMENT & HOLDING CO., LTD.: COMPANY SNAPSHOT
FIGURE 48 NVIDIA CORPORATION: COMPANY SNAPSHOT
FIGURE 49 SAMSUNG ELECTRONICS: COMPANY SNAPSHOT
FIGURE 50 GOOGLE INC.: COMPANY SNAPSHOT
FIGURE 51 PTC INC.: COMPANY SNAPSHOT
FIGURE 52 AMAZON.COM, INC.: COMPANY SNAPSHOT
FIGURE 53 ALIBABA GROUP HOLDING LIMITED: COMPANY SNAPSHOT
FIGURE 54 WALMART INC.: COMPANY SNAPSHOT
FIGURE 55 ALBERT HEIJN BV (AHOLD DELHAIZE): COMPANY SNAPSHOT

The study involved four major activities for estimating the size of the smart retail market. Exhaustive secondary research was carried out to collect information relevant to the market, the peer market, and the parent market. Primary research was undertaken to validate these findings, assumptions, and sizing with the industry experts across the value chain of the smart retail ecosystem. Both top-down and bottom-up approaches were employed to estimate the complete market size. These were followed by the market breakdown and data triangulation methods that were used to estimate the size of the different segments and subsegments of the market.

Secondary Research

The research methodology used to estimate and forecast the size of the smart retail market began with capturing data related to the revenues of key vendors in the market through secondary research. This study involved the extensive use of secondary sources, directories, and databases (such as Hoovers, Bloomberg Businessweek, Factiva, and OneSource) to identify and collect information useful for a technical, market-oriented, and commercial study of the smart retail market. Vendor offerings were taken into consideration to determine the market segmentation. The entire research methodology included the study of the annual reports, press releases, and investor presentations of companies; white papers; and certified publications and articles by recognized authors, directories, and databases.

Primary Research

The smart retail market comprises several stakeholders such as the suppliers of systems and technology providers. The demand side of this market is characterized by the end users of smart retail systems. The supply side is characterized by advancements carried out in different smart retail systems such as digital signage solutions, smart labels, smart payment systems, AR and VR solutions, POS solutions, intelligent vending machines, smart carts, robotics, and analytics. Various primary sources from both the supply and demand sides of the market were interviewed to obtain qualitative and quantitative information. Following is the breakdown of primary respondents.

Smart Retail Market

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Both top-down and bottom-up approaches were used to estimate and validate the size of the smart retail market and its segments. The research methodology used to estimate the market size included the following:

Key players in the market were identified through extensive secondary research.
The supply chain of the manufacturing industry and the size of the smart retail market, in terms of value and volume, were determined through primary and secondary research processes.
All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources.

Data Triangulation

After arriving at the overall market size from the market size estimation process explained above, the total market has been split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments, the market breakdown and data triangulation procedures have been employed wherever applicable. The data has been triangulated by studying various factors and trends from both the demand and supply sides. Along with this, the market has been validated using both top-down and bottom-up approaches.

Research Objectives

To define and describe the global smart retail market segmented based on system, application, and retail offering
To forecast the market size in terms of value for various segments with regard to the following regions: North America, Europe, APAC, and RoW
To provide detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
To strategically analyze the micromarkets1 with respect to individual growth trends, future prospects, and contribution to the total market
To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the global smart retail market
To strategically profile the key players and comprehensively analyze their market rankings and core competencies2, along with detailing the competitive landscape for the market leaders
To track and analyze competitive developments such as product launches & product developments, expansions, joint ventures, partnerships, collaborations, agreements, and acquisitions in the global smart retail market

Available Customizations

Along with the market data, MarketsandMarkets offers customizations according to the specific requirements of companies. The following customization options are available for the report:

Critical Questions

What are the new application areas being explored by the providers of smart retail systems?
Who are the key players in the smart retail market, and how intense is the competition in this market?

Smart Retail Market - Global Forecast to 2036

Smart Retail Market Summary

Key Market Trends & Insights

Market Size & Forecast

Smart Retail Market Top 10 key takeaway

Product Insights

Technology / Component Insights

Application Insights

Regional Insights

Country-Specific Market Trends

Key Smart Retail Company Insights

Recent Developments

Market Segmentation

FAQs

Secondary Research

Primary Research

Market Size Estimation

Data Triangulation

Research Objectives

Available Customizations

Company Information

Critical Questions

TESTIMONIALS

Tetsuya Ohhira

Nikon Corporation,

VP - Marketing & Business Development

Leading Provider of Process Control Solutions

Growth opportunities and latent adjacency in Smart Retail Market

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