Smart Retail Market 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 2025
“Smart retail market is expected to grow at CAGR of 23.6% from 2020 to 2025”
The global smart retail market is estimated to grow from USD 21.6 billion in 2020 to USD 62.5 billion by 2025; growing at a CAGR of 23.6%. The increasing adoption of robotics and automation in the retail sector is one of the key factors fueling the growth of this market.
“Robotics segment is expected to grow at highest CAGR during forecast period”
Among systems, the market for robotics is expected to grow at the highest CAGR during the forecast period. Robots simplify the process of finding suitable products for customers. Thus, the growth of this segment can be attributed to the increase in the deployment of robots in supermarkets, hypermarkets, and other retail stores to make the shopping experience easy for consumers.
“Market for smart fitting rooms, by application, is expected to grow at highest CAGR during forecast period” Smart fitting rooms are specially designed rooms wherein customers can try clothes without wearing them. This reduces the shopping time, as well as the displeasure of customers. Moreover, smart mirrors in these rooms also recommend different colors and patterns to customers and enhance their experience. Owing to this, the market for smart fitting rooms is expected to grow at the highest CAGR during the forecast period.
“Smart retail market for fast-moving consumer goods is expected to grow at highest CAGR during forecast period”
The smart retail market for fast-moving consumer goods is expected to grow at the highest CAGR during the forecast period. The growth of this segment can be attributed to the rising demand for fast-moving consumer goods from the continuously increasing global population.
“Europe held second-largest share of smart retail market in 2019”
Europe was the second-largest market for smart retail solutions in 2019. The growth of the local retail market and the increased number of consumers purchasing products from supermarkets and hypermarkets are factors driving the growth of the market in the region.
Breakdown of profiles of primary participants:
This report offers detailed insights into the smart retail market based on system, application, retail offering, and region. Based on system, the smart retail market has been segmented into digital signage solutions, smart labels, smart payment systems, intelligent vending machines, augmented reality solutions, virtual reality solutions, pos solutions, smart carts, robotics, and analytics. Based on application, the smart retail market has been classified into foot-traffic monitoring, inventory management, loyalty management and payment, predictive equipment maintenance, brand protection, and smart fitting rooms. Based on retail offering, the market is segmented into apparel and accessories, fast-moving consumer goods, hardlines and leisure goods, and others. The market has been studied for North America, Europe, Asia Pacific (APAC), and the Rest of the World (RoW).
Reasons to buy the report
The report is expected to help market leaders/new entrants in this market in the following ways:
1. This report segments the smart retail market comprehensively and provides the closest approximations of the overall size of the market, as well as its segments and subsegments.
2. The report is expected to help stakeholders understand the pulse of the market and provide them with information about key drivers, restraints, challenges, and opportunities.
3. This report aims at helping stakeholders in obtaining an improved understanding of their competitors and gaining insights to enhance their position in the market. The competitive landscape section includes the competitor ecosystem of the market, as well as growth strategies such as product launches and developments, expansions, joint ventures, partnerships, collaborations, agreements, and acquisitions adopted by major market players.
The global smart retail market is estimated to grow from USD 21.6 billion in 2020 to USD 62.5 billion by 2025; growing at a CAGR of 23.6%. The increasing adoption of robotics and automation in the retail sector is one of the key factors fueling the growth of this market.
“Robotics segment is expected to grow at highest CAGR during forecast period”
Among systems, the market for robotics is expected to grow at the highest CAGR during the forecast period. Robots simplify the process of finding suitable products for customers. Thus, the growth of this segment can be attributed to the increase in the deployment of robots in supermarkets, hypermarkets, and other retail stores to make the shopping experience easy for consumers.
“Market for smart fitting rooms, by application, is expected to grow at highest CAGR during forecast period” Smart fitting rooms are specially designed rooms wherein customers can try clothes without wearing them. This reduces the shopping time, as well as the displeasure of customers. Moreover, smart mirrors in these rooms also recommend different colors and patterns to customers and enhance their experience. Owing to this, the market for smart fitting rooms is expected to grow at the highest CAGR during the forecast period.
“Smart retail market for fast-moving consumer goods is expected to grow at highest CAGR during forecast period”
The smart retail market for fast-moving consumer goods is expected to grow at the highest CAGR during the forecast period. The growth of this segment can be attributed to the rising demand for fast-moving consumer goods from the continuously increasing global population.
“Europe held second-largest share of smart retail market in 2019”
Europe was the second-largest market for smart retail solutions in 2019. The growth of the local retail market and the increased number of consumers purchasing products from supermarkets and hypermarkets are factors driving the growth of the market in the region.
Breakdown of profiles of primary participants:
- By Company: Tier 1 – 25%, Tier 2 – 35%, and Tier 3 – 40%
- By Designation: C Level – 35%, Managers – 25%, Others – 40%
- By Region: North America – 25%, Europe – 42%, APAC – 21%, RoW – 12%
- IBM (New York, US)
- Intel Corporation (California, US)
- Cisco Systems, Inc. (California, US)
- NXP Semiconductors N.V. (Eindhoven, Netherlands)
- Microsoft (Washington, US)
- Huawei Investment & Holding Co., Ltd. (Shenzhen, China)
- NVIDIA Corporation (California, US)
- Samsung Electronics (Suwon, South Korea)
- Google Inc. (California, US)
- PTC, Inc. (Massachusetts, US)
This report offers detailed insights into the smart retail market based on system, application, retail offering, and region. Based on system, the smart retail market has been segmented into digital signage solutions, smart labels, smart payment systems, intelligent vending machines, augmented reality solutions, virtual reality solutions, pos solutions, smart carts, robotics, and analytics. Based on application, the smart retail market has been classified into foot-traffic monitoring, inventory management, loyalty management and payment, predictive equipment maintenance, brand protection, and smart fitting rooms. Based on retail offering, the market is segmented into apparel and accessories, fast-moving consumer goods, hardlines and leisure goods, and others. The market has been studied for North America, Europe, Asia Pacific (APAC), and the Rest of the World (RoW).
Reasons to buy the report
The report is expected to help market leaders/new entrants in this market in the following ways:
1. This report segments the smart retail market comprehensively and provides the closest approximations of the overall size of the market, as well as its segments and subsegments.
2. The report is expected to help stakeholders understand the pulse of the market and provide them with information about key drivers, restraints, challenges, and opportunities.
3. This report aims at helping stakeholders in obtaining an improved understanding of their competitors and gaining insights to enhance their position in the market. The competitive landscape section includes the competitor ecosystem of the market, as well as growth strategies such as product launches and developments, expansions, joint ventures, partnerships, collaborations, agreements, and acquisitions adopted by major market players.
1 INTRODUCTION
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
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
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE GROWTH OPPORTUNITIES IN SMART RETAIL MARKET
4.2 SMART RETAIL MARKET, BY REGION
4.3 SMART RETAIL MARKET, BY SYSTEM AND APPLICATION
4.4 SMART RETAIL MARKET, BY COUNTRY
5 MARKET OVERVIEW
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
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
8 SMART RETAIL MARKET, BY SYSTEM
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
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
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
11.1 INTRODUCTION
11.2 VISUAL RECOGNITION
11.3 BLOCKCHAIN
11.4 ARTIFICIAL INTELLIGENCE (AI)
11.5 MOBILE
12 GEOGRAPHIC ANALYSIS
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
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
(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
15.1 DISCUSSION GUIDE
15.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.3 AVAILABLE CUSTOMIZATIONS
15.4 RELATED REPORTS
15.5 AUTHOR DETAILS
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
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
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE GROWTH OPPORTUNITIES IN SMART RETAIL MARKET
4.2 SMART RETAIL MARKET, BY REGION
4.3 SMART RETAIL MARKET, BY SYSTEM AND APPLICATION
4.4 SMART RETAIL MARKET, BY COUNTRY
5 MARKET OVERVIEW
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
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
8 SMART RETAIL MARKET, BY SYSTEM
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
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
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
11.1 INTRODUCTION
11.2 VISUAL RECOGNITION
11.3 BLOCKCHAIN
11.4 ARTIFICIAL INTELLIGENCE (AI)
11.5 MOBILE
12 GEOGRAPHIC ANALYSIS
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
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
(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
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
TABLE 1 SMART RETAIL MARKET, BY SYSTEM, 2017–2025 (USD MILLION)
TABLE 2 SMART RETAIL MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 3 SMART RETAIL MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY HARDWARE, 2017–2025 (USD MILLION)
TABLE 4 SMART RETAIL MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY DISPLAY, 2017–2025 (USD MILLION)
TABLE 5 SMART RETAIL MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY DISPLAY, 2017–2025 (MILLION UNITS)
TABLE 6 SMART RETAIL MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY APPLICATION, 2017–2025 (MILLION UNITS)
TABLE 7 SMART RETAIL MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY REGION, 2017–2025 (USD MILLION)
TABLE 8 SMART RETAIL MARKET FOR SMART BEACONS, BY TYPE, 2017–2025 (USD MILLION)
TABLE 9 SMART RETAIL MARKET FOR SMART BEACONS, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 10 SMART RETAIL MARKET FOR SMART BEACONS, BY HARDWARE, 2017–2025 (USD MILLION)
TABLE 11 SMART RETAIL MARKET FOR SMART BEACONS, BY SOFTWARE, 2017–2025 (USD MILLION)
TABLE 12 SMART RETAIL MARKET FOR SMART BEACONS, BY REGION, 2017–2025 (USD MILLION)
TABLE 13 SMART RETAIL MARKET FOR ESL, BY PRODUCT, 2017–2025 (USD MILLION)
TABLE 14 SMART RETAIL MARKET FOR ESL, BY COMMUNICATION TECHNOLOGY, 2017–2025 (USD MILLION)
TABLE 15 SMART RETAIL MARKET FOR ESL, BY COMPONENT, 2017–2025 (USD MILLION)
TABLE 16 SMART RETAIL MARKET FOR ESL, BY REGION, 2017–2025 (USD MILLION)
TABLE 17 SMART RETAIL 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 SMART RETAIL MARKET FOR SMART PAYMENT SYSTEMS, BY POS TERMINAL, 2017–2025 (USD MILLION)
TABLE 20 SMART RETAIL MARKET FOR POS TERMINAL, BY REGION, 2017–2025 (USD MILLION)
TABLE 21 SMART RETAIL MARKET FOR INTELLIGENT VENDING MACHINES, BY REGION, 2017–2025 (USD MILLION)
TABLE 22 SMART RETAIL 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 SMART RETAIL MARKET FOR AUGMENTED REALITY SOLUTIONS, BY DEVICE TYPE, 2017–2025 (THOUSAND UNITS)
TABLE 25 SMART RETAIL 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 SMART RETAIL MARKET FOR AUGMENTED REALITY SOLUTIONS, BY REGION, 2017–2025 (USD MILLION)
TABLE 28 SMART RETAIL MARKET FOR VIRTUAL REALITY SOLUTIONS, BY DEVICE TYPE, 2017–2025 (USD MILLION)
TABLE 29 SMART RETAIL MARKET FOR VIRTUAL REALITY SOLUTIONS, BY DEVICE TYPE, 2017–2025 (THOUSAND UNITS)
TABLE 30 SMART RETAIL MARKET FOR VIRTUAL REALITY SOLUTIONS, BY REGION, 2017–2025 (THOUSAND UNITS)
TABLE 31 SMART RETAIL MARKET FOR POS SOLUTIONS, BY SYSTEM, 2017–2025 (USD MILLION)
TABLE 32 SMART RETAIL MARKET FOR POS SOLUTIONS, BY SYSTEM, 2017–2025 (THOUSAND UNITS)
TABLE 33 SMART RETAIL MARKET FOR POS SOLUTIONS, BY REGION, 2017–2025 (USD MILLION)
TABLE 34 SMART RETAIL MARKET FOR INTERACTIVE KIOSKS, BY REGION, 2017–2025 (USD MILLION)
TABLE 35 SMART RETAIL MARKET FOR SELF-CHECKOUT SOLUTIONS, BY REGION, 2017–2025 (USD MILLION)
TABLE 36 SMART RETAIL MARKET FOR SMART CARTS, BY REGION, 2017–2025 (USD MILLION)
TABLE 37 SMART RETAIL MARKET FOR SMART CARTS, BY REGION, 2017–2025 (UNITS)
TABLE 38 SMART RETAIL MARKET FOR ROBOTICS, BY APPLICATION, 2017–2025 (UNITS)
TABLE 39 SMART RETAIL MARKET FOR ROBOTICS, BY APPLICATION, 2017–2025 (USD MILLION)
TABLE 40 SMART RETAIL MARKET FOR ROBOTICS, BY REGION, 2017–2025 (USD MILLION)
TABLE 41 SMART RETAIL MARKET FOR ROBOTICS, BY OFFERING, 2017–2025 (MILLION UNITS)
TABLE 42 SMART RETAIL MARKET FOR AI, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 43 SMART RETAIL MARKET FOR AI, BY HARDWARE, 2017–2025 (USD MILLION)
TABLE 44 SMART RETAIL MARKET FOR AI, BY PROCESSOR, 2017–2025 (USD MILLION)
TABLE 45 SMART RETAIL MARKET FOR AI IN HARDWARE, BY REGION, 2017–2025 (USD MILLION)
TABLE 46 SMART RETAIL MARKET FOR AI, BY SOFTWARE, 2017–2025 (USD MILLION)
TABLE 47 SMART RETAIL MARKET FOR AI IN SOFTWARE, BY DEPLOYMENT TYPE, 2017–2025 (USD MILLION)
TABLE 48 SMART RETAIL MARKET FOR AI, BY PLATFORM, 2017–2025 (USD MILLION)
TABLE 49 SMART RETAIL MARKET FOR AI, BY SERVICE, 2017–2025 (USD MILLION)
TABLE 50 SMART RETAIL MARKET FOR AI, BY TECHNOLOGY, 2017–2025 (USD MILLION)
TABLE 51 SMART RETAIL MARKET FOR AI IN MACHINE LEARNING, BY TYPE, 2017–2025 (USD MILLION)
TABLE 52 SMART RETAIL MARKET FOR AI IN CONTEXT AWARENESS, BY PROCESS, 2017–2025 (USD MILLION)
TABLE 53 SMART RETAIL MARKET FOR AI, BY APPLICATION, 2017–2025 (USD MILLION)
TABLE 54 SMART RETAIL MARKET FOR AI IN SHELF MONITORING, BY REGION, 2017–2025 (USD MILLION)
TABLE 55 SMART RETAIL 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 SMART RETAIL MARKET FOR AI IN PRICE OPTIMIZATION, BY REGION, 2017–2025 (USD MILLION)
TABLE 58 SMART RETAIL MARKET FOR AI IN LOCATION-BASED MARKETING, BY REGION, 2017–2025 (USD MILLION)
TABLE 59 SMART RETAIL MARKET FOR AI IN SELF-CHECKOUT SYSTEMS, BY REGION, 2017–2025 (USD MILLION)
TABLE 60 SMART RETAIL MARKET FOR AI, BY REGION, 2017–2025 (USD MILLION)
TABLE 61 SMART RETAIL MARKET, BY APPLICATION, 2017–2025 (USD MILLION)
TABLE 62 SMART RETAIL MARKET, BY RETAIL OFFERING, 2017–2025 (USD MILLION)
TABLE 63 SMART RETAIL MARKET, BY REGION, 2017–2025 (USD MILLION)
TABLE 64 SMART RETAIL MARKET IN NORTH AMERICA, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 65 SMART RETAIL MARKET IN EUROPE, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 66 SMART RETAIL MARKET IN APAC, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 67 SMART RETAIL 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
TABLE 1 SMART RETAIL MARKET, BY SYSTEM, 2017–2025 (USD MILLION)
TABLE 2 SMART RETAIL MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 3 SMART RETAIL MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY HARDWARE, 2017–2025 (USD MILLION)
TABLE 4 SMART RETAIL MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY DISPLAY, 2017–2025 (USD MILLION)
TABLE 5 SMART RETAIL MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY DISPLAY, 2017–2025 (MILLION UNITS)
TABLE 6 SMART RETAIL MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY APPLICATION, 2017–2025 (MILLION UNITS)
TABLE 7 SMART RETAIL MARKET FOR DIGITAL SIGNAGE SOLUTIONS, BY REGION, 2017–2025 (USD MILLION)
TABLE 8 SMART RETAIL MARKET FOR SMART BEACONS, BY TYPE, 2017–2025 (USD MILLION)
TABLE 9 SMART RETAIL MARKET FOR SMART BEACONS, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 10 SMART RETAIL MARKET FOR SMART BEACONS, BY HARDWARE, 2017–2025 (USD MILLION)
TABLE 11 SMART RETAIL MARKET FOR SMART BEACONS, BY SOFTWARE, 2017–2025 (USD MILLION)
TABLE 12 SMART RETAIL MARKET FOR SMART BEACONS, BY REGION, 2017–2025 (USD MILLION)
TABLE 13 SMART RETAIL MARKET FOR ESL, BY PRODUCT, 2017–2025 (USD MILLION)
TABLE 14 SMART RETAIL MARKET FOR ESL, BY COMMUNICATION TECHNOLOGY, 2017–2025 (USD MILLION)
TABLE 15 SMART RETAIL MARKET FOR ESL, BY COMPONENT, 2017–2025 (USD MILLION)
TABLE 16 SMART RETAIL MARKET FOR ESL, BY REGION, 2017–2025 (USD MILLION)
TABLE 17 SMART RETAIL 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 SMART RETAIL MARKET FOR SMART PAYMENT SYSTEMS, BY POS TERMINAL, 2017–2025 (USD MILLION)
TABLE 20 SMART RETAIL MARKET FOR POS TERMINAL, BY REGION, 2017–2025 (USD MILLION)
TABLE 21 SMART RETAIL MARKET FOR INTELLIGENT VENDING MACHINES, BY REGION, 2017–2025 (USD MILLION)
TABLE 22 SMART RETAIL 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 SMART RETAIL MARKET FOR AUGMENTED REALITY SOLUTIONS, BY DEVICE TYPE, 2017–2025 (THOUSAND UNITS)
TABLE 25 SMART RETAIL 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 SMART RETAIL MARKET FOR AUGMENTED REALITY SOLUTIONS, BY REGION, 2017–2025 (USD MILLION)
TABLE 28 SMART RETAIL MARKET FOR VIRTUAL REALITY SOLUTIONS, BY DEVICE TYPE, 2017–2025 (USD MILLION)
TABLE 29 SMART RETAIL MARKET FOR VIRTUAL REALITY SOLUTIONS, BY DEVICE TYPE, 2017–2025 (THOUSAND UNITS)
TABLE 30 SMART RETAIL MARKET FOR VIRTUAL REALITY SOLUTIONS, BY REGION, 2017–2025 (THOUSAND UNITS)
TABLE 31 SMART RETAIL MARKET FOR POS SOLUTIONS, BY SYSTEM, 2017–2025 (USD MILLION)
TABLE 32 SMART RETAIL MARKET FOR POS SOLUTIONS, BY SYSTEM, 2017–2025 (THOUSAND UNITS)
TABLE 33 SMART RETAIL MARKET FOR POS SOLUTIONS, BY REGION, 2017–2025 (USD MILLION)
TABLE 34 SMART RETAIL MARKET FOR INTERACTIVE KIOSKS, BY REGION, 2017–2025 (USD MILLION)
TABLE 35 SMART RETAIL MARKET FOR SELF-CHECKOUT SOLUTIONS, BY REGION, 2017–2025 (USD MILLION)
TABLE 36 SMART RETAIL MARKET FOR SMART CARTS, BY REGION, 2017–2025 (USD MILLION)
TABLE 37 SMART RETAIL MARKET FOR SMART CARTS, BY REGION, 2017–2025 (UNITS)
TABLE 38 SMART RETAIL MARKET FOR ROBOTICS, BY APPLICATION, 2017–2025 (UNITS)
TABLE 39 SMART RETAIL MARKET FOR ROBOTICS, BY APPLICATION, 2017–2025 (USD MILLION)
TABLE 40 SMART RETAIL MARKET FOR ROBOTICS, BY REGION, 2017–2025 (USD MILLION)
TABLE 41 SMART RETAIL MARKET FOR ROBOTICS, BY OFFERING, 2017–2025 (MILLION UNITS)
TABLE 42 SMART RETAIL MARKET FOR AI, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 43 SMART RETAIL MARKET FOR AI, BY HARDWARE, 2017–2025 (USD MILLION)
TABLE 44 SMART RETAIL MARKET FOR AI, BY PROCESSOR, 2017–2025 (USD MILLION)
TABLE 45 SMART RETAIL MARKET FOR AI IN HARDWARE, BY REGION, 2017–2025 (USD MILLION)
TABLE 46 SMART RETAIL MARKET FOR AI, BY SOFTWARE, 2017–2025 (USD MILLION)
TABLE 47 SMART RETAIL MARKET FOR AI IN SOFTWARE, BY DEPLOYMENT TYPE, 2017–2025 (USD MILLION)
TABLE 48 SMART RETAIL MARKET FOR AI, BY PLATFORM, 2017–2025 (USD MILLION)
TABLE 49 SMART RETAIL MARKET FOR AI, BY SERVICE, 2017–2025 (USD MILLION)
TABLE 50 SMART RETAIL MARKET FOR AI, BY TECHNOLOGY, 2017–2025 (USD MILLION)
TABLE 51 SMART RETAIL MARKET FOR AI IN MACHINE LEARNING, BY TYPE, 2017–2025 (USD MILLION)
TABLE 52 SMART RETAIL MARKET FOR AI IN CONTEXT AWARENESS, BY PROCESS, 2017–2025 (USD MILLION)
TABLE 53 SMART RETAIL MARKET FOR AI, BY APPLICATION, 2017–2025 (USD MILLION)
TABLE 54 SMART RETAIL MARKET FOR AI IN SHELF MONITORING, BY REGION, 2017–2025 (USD MILLION)
TABLE 55 SMART RETAIL 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 SMART RETAIL MARKET FOR AI IN PRICE OPTIMIZATION, BY REGION, 2017–2025 (USD MILLION)
TABLE 58 SMART RETAIL MARKET FOR AI IN LOCATION-BASED MARKETING, BY REGION, 2017–2025 (USD MILLION)
TABLE 59 SMART RETAIL MARKET FOR AI IN SELF-CHECKOUT SYSTEMS, BY REGION, 2017–2025 (USD MILLION)
TABLE 60 SMART RETAIL MARKET FOR AI, BY REGION, 2017–2025 (USD MILLION)
TABLE 61 SMART RETAIL MARKET, BY APPLICATION, 2017–2025 (USD MILLION)
TABLE 62 SMART RETAIL MARKET, BY RETAIL OFFERING, 2017–2025 (USD MILLION)
TABLE 63 SMART RETAIL MARKET, BY REGION, 2017–2025 (USD MILLION)
TABLE 64 SMART RETAIL MARKET IN NORTH AMERICA, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 65 SMART RETAIL MARKET IN EUROPE, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 66 SMART RETAIL MARKET IN APAC, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 67 SMART RETAIL 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
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
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 SMART RETAIL MARKET IN CHINA TO GROW AT HIGHEST CAGR
FROM 2020 TO 2025
FIGURE 16 SMART RETAIL MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
FIGURE 17 SMART RETAIL MARKET: DRIVERS AND THEIR IMPACT
FIGURE 18 SMART RETAIL MARKET: RESTRAINTS AND THEIR IMPACT
FIGURE 19 SMART RETAIL MARKET: OPPORTUNITIES AND THEIR IMPACT
FIGURE 20 SMART RETAIL MARKET: CHALLENGES AND THEIR IMPACT
FIGURE 21 VALUE CHAIN OF SMART RETAIL MARKET
FIGURE 22 SMART RETAIL 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 SMART RETAIL MARKET FOR AUGMENTED REALITY SOLUTIONS TO GROW AT HIGHEST
CAGR FROM 2020 TO 2025
FIGURE 26 SHELF AUDITING SEGMENT OF SMART RETAIL MARKET FOR TO GROW AT HIGH CAGR FROM 2020 TO 2025
FIGURE 27 SMART RETAIL 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 SMART RETAIL 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 SMART RETAIL MARKET
FIGURE 33 SMART RETAIL MARKET IN APAC TO GROW AT HIGHEST CAGR
FROM 2020 TO 2025
FIGURE 34 NORTH AMERICA: SMART RETAIL MARKET SNAPSHOT
FIGURE 35 EUROPE: SMART RETAIL MARKET SNAPSHOT
FIGURE 36 APAC: SMART RETAIL MARKET SNAPSHOT
FIGURE 37 SMART RETAIL 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 SMART RETAIL 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
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
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 SMART RETAIL MARKET IN CHINA TO GROW AT HIGHEST CAGR
FROM 2020 TO 2025
FIGURE 16 SMART RETAIL MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
FIGURE 17 SMART RETAIL MARKET: DRIVERS AND THEIR IMPACT
FIGURE 18 SMART RETAIL MARKET: RESTRAINTS AND THEIR IMPACT
FIGURE 19 SMART RETAIL MARKET: OPPORTUNITIES AND THEIR IMPACT
FIGURE 20 SMART RETAIL MARKET: CHALLENGES AND THEIR IMPACT
FIGURE 21 VALUE CHAIN OF SMART RETAIL MARKET
FIGURE 22 SMART RETAIL 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 SMART RETAIL MARKET FOR AUGMENTED REALITY SOLUTIONS TO GROW AT HIGHEST
CAGR FROM 2020 TO 2025
FIGURE 26 SHELF AUDITING SEGMENT OF SMART RETAIL MARKET FOR TO GROW AT HIGH CAGR FROM 2020 TO 2025
FIGURE 27 SMART RETAIL 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 SMART RETAIL 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 SMART RETAIL MARKET
FIGURE 33 SMART RETAIL MARKET IN APAC TO GROW AT HIGHEST CAGR
FROM 2020 TO 2025
FIGURE 34 NORTH AMERICA: SMART RETAIL MARKET SNAPSHOT
FIGURE 35 EUROPE: SMART RETAIL MARKET SNAPSHOT
FIGURE 36 APAC: SMART RETAIL MARKET SNAPSHOT
FIGURE 37 SMART RETAIL 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 SMART RETAIL 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
