This report provides a comprehensive analysis of the global smart shopping cart market, which is poised for significant growth driven by advancements in AI, computer vision, and edge computing. The study examines key segments including application areas, modes of sale, and cart types, highlighting the dominance of direct sales and the leading market position of North America. By evaluating competitive strategies and technological trends, the report offers critical insights into drivers, challenges, and opportunities for retailers and technology providers.

Market Overview

The smart shopping cart market is estimated to be USD 326.0 million in 2025 and is expected to reach USD 1,423.1 billion by 2030, growing at a CAGR of 34.3%.

Market Growth Drivers & Technological Advancements

Rapid advancements in the following technologies are significantly driving the growth of the smart shopping cart market:

• AI and Computer Vision: Improved item recognition accuracy, including the ability to identify produce without barcodes.
• Weight Sensors and Edge Processing: Enhanced reliability of autonomous checkout systems and real-time transaction processing.
• Hardware & Cost Efficiency: Reductions in hardware costs and improved scalability.
• System Integration: Modern carts can detect mis-scans and process transactions securely in real time. The maturing technology ecosystem supports modular upgrades, improved battery efficiency, and better integration with existing store systems, making smart carts more practical and commercially attractive than earlier generations. As the underlying technology becomes more affordable and scalable, retailers gain confidence in large-scale deployment and long-term ROI.

Market Segmentation

By Mode of Sale

• Direct: This segment is expected to have the largest market size. Direct sales involve the vendor working closely with retailers to manage installation, integration, and ongoing service. This model ensures tight alignment with store systems, including POS, inventory, loyalty, and real-time analytics platforms. Retailers benefit from higher customization, faster issue resolution, and prioritized feature enhancements, while vendors gain valuable user feedback that accelerates product improvement. Direct sales are common among large supermarket chains or retailers requiring high levels of accuracy, reliability, and long-term partnership commitments, supporting advanced deployments where full-stack integration of AI models, edge processing, connectivity, and payment processing is crucial.
• Distributor

By Application Area

• Shopping Malls
• Supermarkets
• Other application areas

By Cart Type

• Fully integrated carts
• Retrofit carts

By Region

• North America: Expected to hold the largest market share. The region is undergoing a rapid transformation driven by a focus on enhancing customer experiences and reducing operational costs. Fierce competition drives major players to innovate aggressively with on-cart edge computing and advanced sensor fusion, enhancing accuracy for loss prevention and enabling dynamic pricing at the point of sale. Companies are exploring innovative financing models like "Robot-as-a-Service." High disposable income and established digital payment habits make North American consumers receptive to in-cart payments and personalized offers. Additionally, evolving supply chain logistics are influencing cart design to integrate more closely with inventory management systems.
• Europe
• Asia Pacific
• Middle East & Africa
• Latin America

Competitive Landscape

Key Players

Major players in the market include:

• Amazon (US)
• Caper (US)
• Veeve (US)
• Shopic (Israel)
• SuperHii (China)
• Tracxpoint (Israel)
• Cust2Mate (Israel)
• Shekel (Israel)
• Faytech (US)
• KBST (Germany)
• MetroClick (US)
• Retail AI (Japan)
• Pentland Firth Software (Germany)
• VasyERP (India)
• Smapca (India)
• SwiftForce (India)
• Kwikkart (US)
• ZeroQs (Poland)
• Shopreme (Austria)
• Trollee (Hong Kong)

Growth Strategies: These players have adopted various strategies, including partnerships, agreements, collaborations, new product launches, enhancements, and acquisitions, to expand their footprint.

Primary Research Breakdown

The study offers insights from a range of industry experts, including solution vendors and Tier 1 companies, broken down as follows:

• By Company Type:
• Tier 1: 62%
• Tier 2: 23%
• Tier 3: 15%
• By Designation:
• C-level: 38%
• D-level: 30%
• Others: 32%
• By Region:
• North America: 40%
• Europe: 15%
• Asia Pacific: 35%
• Middle East & Africa: 5%
• Latin America: 5%

Market Dynamics

Key Drivers

• Growing consumer demand for frictionless, contactless, and personalized shopping.
• Technological advancements in computer vision, sensors, and edge computing enabling reliable, low-latency item recognition.

Restraints

• High upfront hardware and integration costs.
• Integration complexity with POS, inventory, and loyalty systems.

Opportunities

• Retrofit devices and attachable solutions for existing carts to reduce deployment costs.
• In-cart promotions, targeted offers, and ads to create recurring revenue streams.

Challenges

• Maintaining robust item recognition across diverse SKUs and frequent packaging changes.
• Managing uptime, battery logistics, and field servicing across thousands of carts, which complicates scaling.

Report Insights & Benefits

Strategic Value

This report assists market leaders and new entrants by providing approximations of global revenue numbers and subsegments. It helps stakeholders understand the competitive landscape, gain valuable insights, and develop effective go-to-market strategies by offering information on the market's pulse, including drivers, restraints, challenges, and opportunities.

Detailed Analysis Areas

• Product Development/Innovation: Insights into upcoming technologies, R&D activities, and product/service launches.
• Market Development: Comprehensive information regarding lucrative markets across various regions.
• Market Diversification: Information on new products, services, untapped geographies, recent developments, and investments.
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading global players.

• 1 INTRODUCTION 22

  • 1.1 STUDY OBJECTIVES 22

  • 1.2 MARKET DEFINITION 22

  • 1.3 MARKET SCOPE 22

    • 1.3.1 MARKET SEGMENTATION & REGIONAL SCOPE 23

    • 1.3.2 INCLUSIONS AND EXCLUSIONS 23

  • 1.4 YEARS CONSIDERED 24

  • 1.5 CURRENCY CONSIDERED 24

  • 1.6 STAKEHOLDERS 25

• 2 RESEARCH METHODOLOGY 26

  • 2.1 RESEARCH DATA 26

    • 2.1.1 SECONDARY DATA 27

      • 2.1.1.1 Key data from secondary sources 27

    • 2.1.2 PRIMARY DATA 27

      • 2.1.2.1 Primary interviews with experts 28
      • 2.1.2.2 Breakdown of primary profiles 28
      • 2.1.2.3 Key data from primary sources 29
      • 2.1.2.4 Key industry insights 29

  • 2.2 MARKET BREAKUP AND DATA TRIANGULATION 30

  • 2.3 MARKET SIZE ESTIMATION 31

    • 2.3.1 TOP-DOWN APPROACH 33

    • 2.3.2 BOTTOM-UP APPROACH 33

  • 2.4 MARKET FORECAST 34

    • 2.4.1 FACTOR ANALYSIS 34

  • 2.5 RESEARCH ASSUMPTIONS 35

  • 2.6 LIMITATIONS 35

• 3 EXECUTIVE SUMMARY 36

  • 3.1 KEY INSIGHTS AND MARKET HIGHLIGHTS 36

  • 3.2 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS 37

  • 3.3 DISRUPTIONS SHAPING MARKET 38

  • 3.4 HIGH-GROWTH SEGMENTS 39

  • 3.5 SNAPSHOT: GLOBAL MARKET SIZE, GROWTH RATE, AND FORECAST 40

• 4 PREMIUM INSIGHTS 41

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN SMART SHOPPING CART MARKET 41

  • 4.2 SMART SHOPPING CART MARKET, BY MODE OF SALE AND REGION 42

  • 4.3 SMART SHOPPING CART MARKET, BY APPLICATION AREA 42

  • 4.4 SMART SHOPPING CART MARKET, BY MODE OF SALE 43

• 5 MARKET OVERVIEW AND INDUSTRY TRENDS 44

  • 5.1 INTRODUCTION 44

  • 5.2 MARKET DYNAMICS 44

    • 5.2.1 DRIVERS 45

      • 5.2.1.1 Growing consumer demand for frictionless, contactless, and personalized shopping 45
      • 5.2.1.2 Technological advancements in computer vision, sensors, and edge computing enable reliable, low-latency item recognition 46

    • 5.2.2 RESTRAINTS 46

      • 5.2.2.1 High upfront hardware and integration costs 46
      • 5.2.2.2 Integration complexity with POS, inventory, and loyalty systems 46

    • 5.2.3 OPPORTUNITIES 47

      • 5.2.3.1 Retrofit devices/attachable solutions for existing carts, reducing deployment cost 47
      • 5.2.3.2 In-cart promotions, targeted offers, and ads create recurring revenue streams 47

    • 5.2.4 CHALLENGES 47

      • 5.2.4.1 Robust item recognition across SKUs and packaging changes 47
      • 5.2.4.2 Maintaining uptime, battery logistics, and field servicing across thousands of carts complicates scaling 48

  • 5.3 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES 48

    • 5.3.1 INTERCONNECTED MARKETS 48

    • 5.3.2 CROSS-SECTOR OPPORTUNITIES 48

  • 5.4 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS 49

    • 5.4.1 KEY MOVES AND STRATEGIC FOCUS 49

• 6 INDUSTRY TRENDS 50

  • 6.1 PORTER’S FIVE FORCES MODEL ANALYSIS 50

    • 6.1.1 THREAT OF NEW ENTRANTS 51

    • 6.1.2 THREAT OF SUBSTITUTES 51

    • 6.1.3 BARGAINING POWER OF SUPPLIERS 51

    • 6.1.4 BARGAINING POWER OF BUYERS 51

    • 6.1.5 INTENSITY OF COMPETITIVE RIVALRY 52

  • 6.2 MACROECONOMIC OUTLOOK 52

    • 6.2.1 INTRODUCTION 52

    • 6.2.2 GDP TRENDS AND FORECAST 52

    • 6.2.3 TRENDS IN GLOBAL SMART SHOPPING CART INDUSTRY 54

  • 6.3 SUPPLY CHAIN ANALYSIS 55

  • 6.4 VALUE CHAIN ANALYSIS 56

  • 6.5 ECOSYSTEM 56

  • 6.6 PRICING ANALYSIS 58

    • 6.6.1 AVERAGE PRICING ANALYSIS 58

    • 6.6.2 INDICATIVE PRICING ANALYSIS, BY CART TYPE 59

  • 6.7 TRADE ANALYSIS 59

    • 6.7.1 EXPORT SCENARIO OF TRAILERS AND SEMI-TRAILERS; OTHER VEHICLES, NOT MECHANICALLY PROPELLED 59

    • 6.7.2 IMPORT SCENARIO OF VEHICLES PUSHED OR DRAWN BY HAND AND OTHER VEHICLES NOT MECHANICALLY PROPELLED BY COUNTRY, 2020-2024 (USD MILLION) 60

  • 6.8 KEY CONFERENCES AND EVENTS 60

  • 6.9 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 61

  • 6.10 INVESTMENT AND FUNDING SCENARIO 61

  • 6.11 CASE STUDY ANALYSIS 62

    • 6.11.1 VEEVE - SMART CART ROLLOUTS & RETAIL MEDIA PIVOT 62

    • 6.11.2 TRACXPOINT - AI CART PLATFORM 62

    • 6.11.3 SHOPREME’S SCAN & GO SDK INTEGRATED INTO REWE’S 62

  • 6.12 IMPACT OF 2025 US TARIFF - SMART SHOPPING CART MARKET 63

    • 6.12.1 INTRODUCTION 63

    • 6.12.2 KEY TARIFF RATES 63

    • 6.12.3 PRICE IMPACT ANALYSIS 64

    • 6.12.4 IMPACT ON COUNTRY/REGION 65

      • 6.12.4.1 US 65
      • 6.12.4.2 Europe 66
      • 6.12.4.3 Asia Pacific 66
      • 6.12.4.4 IMPACT ON IoT END USERS 67

• 7 STRATEGIC DISRUPTION: PATENTS, DIGITAL, AND AI ADOPTION 68

  • 7.1 KEY EMERGING TECHNOLOGIES 68

    • 7.1.1 COMPUTER VISION-DRIVEN SKU DETECTION 68

    • 7.1.2 EDGE AI HARDWARE & ON-CART PROCESSING UNITS 68

    • 7.1.3 MULTI-SENSOR FUSION (WEIGHT SENSORS, DEPTH CAMERAS, LIDAR) 68

  • 7.2 COMPLEMENTARY TECHNOLOGIES 68

    • 7.2.1 RFID & NFC-BASED ITEM TRACKING 68

    • 7.2.2 CLOUD ANALYTICS & RETAIL DATA PLATFORMS 68

    • 7.2.3 DIGITAL TWIN & STORE SIMULATION SYSTEMS 68

  • 7.3 TECHNOLOGY/PRODUCT ROADMAP FOR SMART SHOPPING CART MARKET 69

    • 7.3.1 SHORT-TERM ROADMAP (2023-2025) 69

    • 7.3.2 MID-TERM ROADMAP (2026-2028) 69

    • 7.3.3 LONG-TERM ROADMAP (2029-2030) 69

    • 7.3.4 SMART SHOPPING CART ECOSYSTEM 69

      • 7.3.4.1 Web management platform 69
      • 7.3.4.2 Cloud infrastructure 70
      • 7.3.4.3 Products & hardware 70
      • 7.3.4.4 Middleware 70
      • 7.3.4.5 ERP & POS system integration 70

  • 7.4 PATENT ANALYSIS 71

    • 7.4.1 LIST OF MAJOR PATENTS 72

  • 7.5 IMPACT OF AI/GENERATIVE AI ON SMART SHOPPING CART MARKET 73

    • 7.5.1 TOP USE CASES AND MARKET POTENTIAL OF GENERATIVE AI IN SMART SHOPPING CARTS 73

    • 7.5.2 BEST PRACTICES OF SMART SHOPPING CART MARKET 75

    • 7.5.3 CASE STUDIES OF AI IMPLEMENTATION IN SMART SHOPPING CART MARKET 75

      • 7.5.3.1 Case study 1: Caper AI-powered Smart Cart Deployment 75
      • 7.5.3.2 Case study 2: Shopic Clip-On Device Rollout 76
      • 7.5.3.3 Case study 3: Cust2Mate Intelligent Cart Program 76
      • 7.5.3.4 Case study 4: Shekel Scales & Vision System Integration 76

    • 7.5.4 INTERCONNECTED ADJACENT ECOSYSTEM AND IMPACT ON MARKET PLAYERS 76

    • 7.5.5 CLIENTS’ READINESS TO ADOPT GENERATIVE AI IN SMART SHOPPING CARTS 77

  • 7.6 TECHNOLOGIES ADOPTED BY COMPETITORS 77

  • 7.7 BUSINESS MODELS 78

  • 7.8 RETAILERS CURRENTLY TESTING OR ADOPTING SMART CARTS 78

• 8 REGULATORY LANDSCAPE AND COMPLIANCE 80

  • 8.1 REGULATORY LANDSCAPE 80

    • 8.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 80

    • 8.1.2 INDUSTRY STANDARDS 84

      • 8.1.2.1 North America 84
        • 8.1.2.1.1 US 84
        • 8.1.2.1.2 Canada 84
      • 8.1.2.2 Europe 84
      • 8.1.2.3 Asia Pacific 84
        • 8.1.2.3.1 China 84
        • 8.1.2.3.2 Japan 85
        • 8.1.2.3.3 India 85
      • 8.1.2.4 Middle East & Africa 85
        • 8.1.2.4.1 UAE 85
        • 8.1.2.4.2 Saudi Arabia 85
        • 8.1.2.4.3 South Africa 85
      • 8.1.2.5 Latin America 85
        • 8.1.2.5.1 Brazil 85

• 9 CUSTOMER LANDSCAPE & BUYER BEHAVIOR 86

  • 9.1 DECISION-MAKING PROCESS 86

  • 9.2 KEY STAKEHOLDERS AND BUYING CRITERIA 87

    • 9.2.1 KEY STAKEHOLDERS IN BUYING PROCESS 87

    • 9.2.2 BUYING CRITERIA 88

  • 9.3 ADOPTION BARRIERS & INTERNAL CHALLENGES 88

  • 9.4 UNMET NEEDS IN VARIOUS END-USE VERTICALS 90

• 10 SMART SHOPPING CART MARKET, BY TECHNOLOGY 91

  • 10.1 INTRODUCTION 91

    • 10.1.1 TECHNOLOGY: SMART SHOPPING CART MARKET DRIVERS 91

  • 10.2 COMPUTER VISION 91

    • 10.2.1 VISUALIZING CART'S CONTENTS FOR SEAMLESS TRACKING 91

      • 10.2.1.1 Use Cases 92

  • 10.3 AI MODULES 92

    • 10.3.1 POWER REAL-TIME DECISIONS AND PERSONALIZED INTERACTIONS 92

      • 10.3.1.1 Use Cases 92

  • 10.4 SENSORS 93

    • 10.4.1 CAPTURING GRANULAR DATA FOR MULTI-MODAL VERIFICATION 93

      • 10.4.1.1 Use Cases 93

  • 10.5 EDGE COMPUTING 93

    • 10.5.1 ENABLE LOW-LATENCY PROCESSING FOR REAL-TIME CART FUNCTIONS 93

      • 10.5.1.1 Use Cases 94

  • 10.6 CONNECTIVITY 94

    • 10.6.1 MAINTAIN SEAMLESS COMMUNICATION BETWEEN CART AND STORE SYSTEMS 94

      • 10.6.1.1 Use Cases 94

  • 10.7 DISPLAY 95

    • 10.7.1 ENHANCE USER INTERACTION AND IMPROVE SHOPPING EFFICIENCY 95

      • 10.7.1.1 Use Cases 95

  • 10.8 PAYMENT PROCESSING 95

    • 10.8.1 ENABLE SECURE, FRICTIONLESS DIGITAL TRANSACTIONS 95

      • 10.8.1.1 Use Cases 95

• 11 SMART SHOPPING CART MARKET, BY CART TYPE 96

  • 11.1 INTRODUCTION 97

    • 11.1.1 CART TYPE: SMART SHOPPING CART MARKET DRIVERS 97

  • 11.2 FULLY INTEGRATED CARTS 98

    • 11.2.1 INCREASING DEMAND FOR HIGH-PRECISION, END-TO-END IN-STORE AUTOMATION 98

  • 11.3 RETROFIT KITS 98

    • 11.3.1 LOW UPFRONT COST AND RAPID DEPLOYMENT CAPABILITIES 98

• 12 SMART SHOPPING CART MARKET, BY APPLICATION AREA 100

  • 12.1 INTRODUCTION 101

    • 12.1.1 APPLICATION AREA: SMART SHOPPING CART MARKET DRIVERS 101

  • 12.2 SHOPPING MALLS 102

    • 12.2.1 ENHANCE MULTI-STORE EXPERIENCE AND SHOPPER ENGAGEMENT 102

  • 12.3 SUPERMARKETS 102

    • 12.3.1 OPTIMIZE HIGH-FREQUENCY, HIGH-SKU SHOPPING JOURNEYS 102

  • 12.4 OTHER APPLICATION AREAS 103

• 13 SMART SHOPPING CART MARKET, BY MODE OF SALE 104

  • 13.1 INTRODUCTION 105

    • 13.1.1 MODE OF SALE: SMART SHOPPING CART MARKET DRIVERS 105

  • 13.2 DIRECT 106

    • 13.2.1 DEEP INTEGRATION AND CONTROL OVER RETAILER EXPERIENCE 106

  • 13.3 DISTRIBUTOR 106

    • 13.3.1 EXPAND MARKET REACH AND ENABLE LOCALIZED SUPPORT 106

• 14 SMART SHOPPING CART MARKET, BY REGION 108

  • 14.1 INTRODUCTION 109

  • 14.2 NORTH AMERICA 109

    • 14.2.1 US 111

      • 14.2.1.1 Accelerated Retail Digitalization Driving Smart Cart Uptake 111

    • 14.2.2 CANADA 112

      • 14.2.2.1 Growing Retail Modernization Supporting Smart Cart Pilots 112

  • 14.3 EUROPE 113

    • 14.3.1 UK 114

      • 14.3.1.1 AI-led Store Innovation Fueling Smart Trolley Deployments 114

    • 14.3.2 GERMANY 115

      • 14.3.2.1 Expansion of Seamless Checkout Technologies Enabling Smart Cart Adoption 115

    • 14.3.3 FRANCE 116

      • 14.3.3.1 Retail Automation Investments Catalyzing Smart Cart Trials 116

    • 14.3.4 ITALY 117

      • 14.3.4.1 Increasing Omnichannel Retail Focus Encouraging Smart Cart Use Cases 117

    • 14.3.5 REST OF EUROPE 118

  • 14.4 ASIA PACIFIC 119

    • 14.4.1 CHINA 121

      • 14.4.1.1 Focus on Alternative Retail Tech 121

    • 14.4.2 INDIA 122

      • 14.4.2.1 Conglomerate Unveils Smart Cart Demo 122

    • 14.4.3 JAPAN 123

      • 14.4.3.1 National Chain Trials Scanning Carts 123

    • 14.4.4 AUSTRALIA & NEW ZEALAND 124

      • 14.4.4.1 Government Pilots Driving Trusted RAG Use Cases 124

    • 14.4.5 REST OF ASIA PACIFIC 125

  • 14.5 MIDDLE EAST & AFRICA 126

    • 14.5.1 ISRAEL 127

      • 14.5.1.1 Tech Exporter of Smart Carts 127

    • 14.5.2 UAE 128

      • 14.5.2.1 Vision 2030 Investments Scaling Knowledge-centric AI 128

    • 14.5.3 SOUTH AFRICA 129

      • 14.5.3.1 First Smart Trolley Trials 129

    • 14.5.4 REST OF MIDDLE EAST & AFRICA 130

  • 14.6 LATIN AMERICA 131

    • 14.6.1 CHILE 133

      • 14.6.1.1 Driving AI-enabled Checkout Transformation Across Leading Supermarket Chains 133

    • 14.6.2 MEXICO 134

      • 14.6.2.1 Accelerating Retail Modernization Through Large-scale Smart Cart Pilots 134

    • 14.6.3 REST OF LATIN AMERICA 135

• 15 COMPETITIVE LANDSCAPE 136

  • 15.1 INTRODUCTION 136

  • 15.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2023-2025 136

  • 15.3 MARKET SHARE ANALYSIS, 2025 137

  • 15.4 BRAND/PRODUCT COMPARISON 140

  • 15.5 COMPANY VALUATION AND FINANCIAL METRICS 140

  • 15.6 COMPANY EVALUATION MATRIX: MAJOR PLAYERS, 2025 142

    • 15.6.1 STARS 142

    • 15.6.2 EMERGING LEADERS 142

    • 15.6.3 PERVASIVE PLAYERS 142

    • 15.6.4 PARTICIPANTS 142

    • 15.6.5 COMPANY FOOTPRINT: MAJOR PLAYERS, 2025 144

      • 15.6.5.1 Company footprint 144
      • 15.6.5.2 Region footprint 145
      • 15.6.5.3 Application area footprint 146
      • 15.6.5.4 Mode of sale footprint 147

  • 15.7 COMPETITIVE SCENARIO 147

    • 15.7.1 PRODUCT LAUNCHES AND ENHANCEMENTS 147

    • 15.7.2 DEALS 148

• 16 COMPANY PROFILES 150

  • 16.1 KEY PLAYERS 150

    • 16.1.1 AMAZON 150

      • 16.1.1.1 Business overview 150
      • 16.1.1.2 Products/Solutions/Services offered 151
      • 16.1.1.3 Recent developments 152
        • 16.1.1.3.1 Product launches 152
        • 16.1.1.3.2 Deals 152
      • 16.1.1.4 MnM view 152
        • 16.1.1.4.1 Key strengths/Right to win 152
        • 16.1.1.4.2 Strategic choices 153
        • 16.1.1.4.3 Weaknesses and competitive threats 153

    • 16.1.2 CAPER 154

      • 16.1.2.1 Business overview 154
      • 16.1.2.2 Products/Solutions/Services offered 154
      • 16.1.2.3 Recent developments 155
        • 16.1.2.3.1 Deals 155
      • 16.1.2.4 MnM view 155
        • 16.1.2.4.1 Key strengths/Right to win 155
        • 16.1.2.4.2 Strategic choices 155
        • 16.1.2.4.3 Weaknesses and competitive threats 155

    • 16.1.3 VEEVE 156

      • 16.1.3.1 Business overview 156
      • 16.1.3.2 Products/Solutions/Services offered 156
      • 16.1.3.3 Recent developments 157
        • 16.1.3.3.1 Product launches 157
        • 16.1.3.3.2 Deals 157
      • 16.1.3.4 MnM view 157
        • 16.1.3.4.1 Key strengths/Right to win 157
        • 16.1.3.4.2 Strategic choices 158
        • 16.1.3.4.3 Weaknesses and competitive threats 158

    • 16.1.4 SHOPIC 159

      • 16.1.4.1 Business overview 159
      • 16.1.4.2 Products/Solutions/Services offered 159
      • 16.1.4.3 Recent developments 160
        • 16.1.4.3.1 Deals 160
      • 16.1.4.4 MnM view 161
        • 16.1.4.4.1 Key strengths/Right to win 161
        • 16.1.4.4.2 Strategic choices 161
        • 16.1.4.4.3 Weaknesses and competitive threats 161

    • 16.1.5 SUPERHII 162

      • 16.1.5.1 Business overview 162
      • 16.1.5.2 Products/Solutions/Services offered 162
      • 16.1.5.3 Recent developments 163
        • 16.1.5.3.1 Product launches 163
      • 16.1.5.4 MnM view 163
        • 16.1.5.4.1 Key strengths/Right to win 163
        • 16.1.5.4.2 Strategic choices 164
        • 16.1.5.4.3 Weaknesses and competitive threats 164

    • 16.1.6 TRACXPOINT 165

      • 16.1.6.1 Business overview 165
      • 16.1.6.2 Products/Solutions/Services offered 165
      • 16.1.6.3 Recent developments 166
        • 16.1.6.3.1 Deals 166

    • 16.1.7 CUST2MATE 167

      • 16.1.7.1 Business overview 167
      • 16.1.7.2 Products/Solutions/Services offered 168
      • 16.1.7.3 Recent developments 168
        • 16.1.7.3.1 Expansions 168

    • 16.1.8 SHEKEL 169

      • 16.1.8.1 Business overview 169
      • 16.1.8.2 Products/Solutions/Services offered 169

    • 16.1.9 FAYTECH 170

      • 16.1.9.1 Business overview 170
      • 16.1.9.2 Products/Solutions/Services offered 170

    • 16.1.10 KBST 171

      • 16.1.10.1 Business overview 171
      • 16.1.10.2 Products/Solutions/Services offered 171

  • 16.2 OTHER PLAYERS 172

    • 16.2.1 METROCLICK 172

    • 16.2.2 RETAIL AI 173

    • 16.2.3 PENTLAND FIRTH SOFTWARE 174

    • 16.2.4 VASY ERP 174

    • 16.2.5 SMAPCA 175

    • 16.2.6 SWIFTFORCE 175

    • 16.2.7 KWIKKART 176

    • 16.2.8 ZEROQS 176

    • 16.2.9 SHOPREME 177

    • 16.2.10 TROLLEE 177

• 17 APPENDIX 178

  • 17.1 DISCUSSION GUIDE 178

  • 17.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 181

  • 17.3 CUSTOMIZATION OPTIONS 183

  • 17.4 RELATED REPORTS 183

  • 17.5 AUTHOR DETAILS 184