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Smart Shopping Cart Market

Smart Shopping Cart Market : Global Forecast To 2029

Report Code: UC-TC-6734 Apr, 2025, by marketsandmarkets.com

The Smart Shopping Cart market is estimated to be worth USD XX billion in 2024 and is projected to reach USD XX billion by 2029 at a Compound Annual Growth Rate (CAGR) of XX.X% during the same period. Retailers alone lose more than 2 million shopping carts every year. Retailers alone lose more than 2 million shopping carts every year. Traditional shopping carts expose these retailers to possible fines. For instance, a single Walmart location in a small Massachusetts town had to pay more than USD 20,000 to compensate city employees for rounding up and storing their stray carts. According to CNN, retailers pay tens of millions yearly to replace missing carts. Advancements in shopping cart technology can enable retailers to eliminate the expenses that dumb carts incur. Various retailers add identification tags resembling Non-Contact Radio Frequency (NRF) or Radio Frequency Identification (RFID) sensors to existing fleet of shopping carts. Adding these tags enables individual cart identification and tracking by connecting each cart to a specific shopper.

Smart Shopping Cart Market Ecosystem

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ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN SMART SHOPPING CART MARKET

Attractive Opportunities in Smart Shopping Cart Market

USE CASES OF AI/GEN AI IN SMART SHOPPING CART MARKET

AI and Generative AI (Gen AI) are transforming smart shopping carts by enhancing customer experience, optimizing operations, and enabling personalization. The key use cases of AI and Gen AI in smart shopping carts include personalized shopping experience, seamless checkout, enhanced product discovery, inventory management, adaptive pricing, and post-purchase engagement. AI analyzes customer purchase history, preferences, and real-time behavior to suggest relevant products. AI-powered image recognition or RFID technology identifies products as they are placed in the cart, enabling instant billing without manual scanning. AI monitors customer interactions with the cart and predicts demand, sending real-time alerts to staff for shelf restocking.

Smart Shopping Cart Market Use Cases

 

Global Smart Shopping Cart Market Dynamics

Driver: Boost brand loyalty and sales

Smart carts prevent shopping cart losses and streamline the customer journey. They also provide valuable data to retailers. By leveraging sensor, tracking, and connectivity technologies, they enable stores to improve operational efficiency, cut costs, and better connect with customers. As a result, this helps to boost brand loyalty and increase sales. Smart carts are linked with loyalty accounts to track points, redeem rewards, and encourage repeat visits. By offering convenience, personalization, and seamless integration with loyalty programs, smart shopping carts not only increase sales but also foster long-term customer loyalty.

Restraint: High implementation costs

The development and deployment of the smart shopping cart require vast investment in hardware such as sensors, cameras, connectivity modules, and software such as AI and IoT platforms. Consequently, the costs of setting up the smart carts are prohibitive, especially for a small retailer or in any price-sensitive market. Moreover, integration with the existing infrastructure of POS and inventory control is usually a customization and hence costly as small retailers or those in emerging markets cannot easily afford smart cart systems. This ends up making many retailers reluctant to embrace the technology, thereby affecting penetration in the market.

Opportunity: Technological advancements and innovation

The Smart Shopping Cart Market is primarily driven by rapid technological advancements and constant innovation. The integration of cutting-edge technologies such as AI, IoT, and cloud computing enhances the functionality and capabilities of smart shopping carts. These features include real-time inventory tracking, personalized product recommendations, and self-checkout options that improve consumers' general shopping experience. The latest materials and designs for smart shopping carts, including lightweight yet durable materials, add more value to them in terms of utility and attractiveness to customers. In this respect, market players' emphasis on research and development with a view toward integrating newer technologies and features is contributing to the expansion of the Smart Shopping Cart Market Industry.

Challenge: Concerns related to data privacy and security

The smart shopping carts process vast amount of customer data. Adhering to regulations like GDPR and CCPA becomes quite a challenge because they demand strong data encryption, anonymization, and safe storage practices. Besides that, IoT in smart carts also raises the chance of cyberattacks. Customers will tend to distrust retailers with apprehension over data misuse issues, thereby affecting adoption. Retailers should, therefore, work on dispelling those fears by establishing clear policies and using robust cyber-protection measures, furthering respect for privacy laws. Meeting all these privacy and security requirements is very important to encourage trust and successful implementation of smart shopping cart technology.

Ecosystem of Smart Shopping Cart Market

The prominent players in the Smart Shopping Cart market include Amazon (US), Walmart (US), and Microsoft (US). These companies have been operating in the market for several years and possess a diversified product portfolio, state-of-the-art technologies, and a well-established geographic footprint. These companies are rigorously working towards the research & development of Smart Shopping Cart technology.

Top Companies in Smart Shopping Cart Market

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The sensor and tracking technology segment is expected to hold the largest market size during the forecast period.

Sensors and trackers such as RFID, weight sensors, and image recognition cameras are essential for item detection, cart monitoring, and user interaction, making them a significant cost component in the cart. Smart carts use multiple types of sensors for object recognition and tracking, real-time weight measurement to confirm items placed in the cart, navigation assistance and customer behavior tracking. Retailers focus heavily on minimizing shrinkage, for which accurate sensor technology is vital. Developing and integrating sensor arrays and tracking mechanisms is a capital-intensive process, leading to a larger market valuation.

Supermarkets segment is expected to witness the fastest growth rate during the forecast period.

Supermarkets are visited more frequently than shopping malls for daily or weekly grocery needs. Smart carts help in improving the efficiency of the shopping process and in streamlining the checkout process and inventory tracking. These are very much compatible with the high volume and fast-paced nature of the supermarket shopping. Supermarkets use smart carts to provide dynamic pricing, product suggestions, and loyalty schemes in real-time, directly influencing customer interaction. They encompass more extensive markets and have a better chance of embracing cost-efficient strategies for efficiency in operation. A higher number of transactions and frequent purchases by customers increase returns on investment faster in supermarkets than the less frequent purchases in malls.

North America is expected to hold the largest market share during the forecast period.

Smart shopping carts are becoming popular in North America because they enhance customer convenience, simplify checkout, and personalize the shopping experience. Trends include integration with loyalty programs, real-time product recommendations, and sustainability features such as e-receipts. Supermarkets are the first adopters because of high transaction volume and customer frequency. Challenges of data privacy and high initial costs are being overcome with advanced cybersecurity and scalable solutions that have strong growth potential in the region. Smart shopping carts in North America are supported by supportive policies and regulations aimed at encouraging innovation and consumer safety and data privacy. Regulations like the California Consumer Privacy Act, GDPR in Europe for General Data Protection Regulation, and accessibility laws like Americans with Disabilities Act promote the incorporation of these smart carts. Such policies support a secure and conducive ecosystem for the implementation of smart carts.

Smart Shopping Cart Market By Region

 

Key Market Players

Amazon (US), Walmart (US), Microsoft (US), Panasonic (Japan), Kroger (US), Caper (US), Oracle (US), SAP (Germany), Nvidia (US), Pentland Firth Software (US), Cust2Mate (Canada), Tracxpoint (Israel), Standard AI (US), Grabango (US), Shopic (Israel), Retail AI (Japan), Veeve (US), SuperSmart (Israel), Superhii (China), and Metroclick (US). These players have adopted various growth strategies, such as partnerships, agreements & collaborations, product launches & enhancements, and acquisitions to expand their smart shopping cart market footprint.

Recent Developments of Smart Shopping Cart Market:

  • In December 2024, Walmart Chile and Shopic implemented AI-Powered Smart Carts to transform Retail industry in Chile.
  • In April 2024, Amazon announced plans to offer Dash carts to third-party grocers, expanding the checkout technology beyond Amazon grocery banners and Whole Foods Market stores.
  • In January 2024, Microsoft announced new generative AI and data solutions across the shopper journey, offering copilot experiences through Microsoft Cloud for Retail.
  • In May 2023, Grocery smart cart provider Shopic announced a partnership with the Microsoft Experience Center EMEA in Munich to showcase its innovative smart cart technology.
  • In September 2022, Seattle startup Veeve announced the expansion of its checkout-free, smart shopping-cart technology from grocery stores to big-box retailers with a new attachment that effectively turns regular shopping carts into smart carts.

Frequently Asked Questions (FAQ):

 

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TABLE OF CONTENTS
    1.1 OBJECTIVES OF THE STUDY 
    1.2 MARKET DEFINITION 
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED  
           1.3.3 INCLUSIONS AND EXCLUSIONS 
           1.3.4 YEARS CONSIDERED 
    1.4 CURRENCY CONSIDERED 
    1.5 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 interviews with experts
                    2.1.2.2 List of key primary interview participants
                    2.1.2.3 Breakdown of primaries
                    2.1.2.4 Primary sources
                    2.1.2.5 Key industry insights
    2.2 MARKET SIZE ESTIMATION 
           2.2.1 BOTTOM-UP APPROACH
           2.2.2 TOP-DOWN APPROACH 
    2.3 DATA TRIANGULATION 
    2.4 RESEARCH ASSUMPTIONS  
    2.5 RISK ASSESSMENT 
    2.6 LIMITATIONS  
 
3 EXECUTIVE SUMMARY 
 
4 PREMIUM INSIGHTS 
    4.1 ATTRACTIVE OPPORTUNITIES IN THE GLOBAL SMART SHOPPING CART MARKET 
    4.2 SMART SHOPPING CART MARKET, BY APPLICATION 
    4.3 SMART SHOPPING CART MARKET, BY TECHNOLOGY 
    4.4 SMART SHOPPING CART MARKET, BY MODE OF SALES 
    4.5 NORTH AMERICA: SMART SHOPPING CART MARKET, BY KEY APPLICATIONS AND TECHNOLOGY 
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS 
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           5.2.1 DRIVERS
           5.2.2 RESTRAINTS
           5.2.3 OPPORTUNITIES
           5.2.4 CHALLENGES
    5.3 BRIEF HISTORY OF SMART SHOPPING CART 
    5.4 SMART SHOPPING CART MARKET: ECOSYSTEM ANALYSIS/MARKET MAP 
    5.5 CASE STUDY ANALYSIS 
    5.6 VALUE / SUPPLY CHAIN ANALYSIS 
    5.7 REGULATORY LANDSCAPE 
           5.7.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    5.7.1.1 NORTH AMERICA
                    5.7.1.2 EUROPE
                    5.7.1.3 ASIA PACIFIC
                    5.7.1.4 MIDDLE EAST & AFRICA
                    5.7.1.5 LATIN AMERICA
           5.7.2 KEY REGULATIONS
    5.8 PRICING ANALYSIS 
    5.9 TECHNOLOGY ANALYSIS 
           5.9.1 KEY TECHNOLOGIES
           5.9.2 COMPLIMENTARY TECHNOLOGIES
           5.9.3 ADJACENT TECHNOLOGIES 
    5.1 PATENT ANALYSIS 
           5.10.1 LIST OF MAJOR PATENTS
    5.11 PORTERS FIVE FORCES ANALYSIS 
           5.11.1 THREAT OF NEW ENTRANTS
           5.11.2 THREAT OF SUBSTITUTES
           5.11.3 BARGAINING POWER OF SUPPLIERS
           5.11.4 BARGAINING POWER OF BUYERS
           5.11.5 INTENSITY OF COMPETITIVE RIVALRY
    5.12 TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS 
    5.13 KEY STAKEHOLDERS AND BUYING CRITERIA 
           5.13.1 KEY STAKEHOLDERS IN THE BUYING PROCESS 
           5.13.2 BUYING CRITERIA
    5.14 KEY CONFERENCES & EVENTS, 2024-2025 
    5.15 TECHNOLOGY ROADMAP FOR SMART SHOPPING CART MARKET   
           5.15.1 SHORT-TERM ROADMAP (2023 – 2025)
           5.15.2 MID-TERM ROADMAP (2026 – 2028)
           5.15.3 LONG-TERM ROADMAP (2028 – 2030)
    5.16 BEST PRACTICES TO IMPLEMENT SMART SHOPPING CART  
    5.17 CURRENT AND EMERGING BUSINESS MODELS 
    5.18 TOOLS, FRAMEWORKS, AND TECHNIQUES USED IN SMART SHOPPING CART 
    5.19 INVESTMENT AND FUNDING SCENARIO 
 
6 SMART SHOPPING CART MARKET SIZE, BY TECHNOLOGY 
    6.1 INTRODUCTION 
           6.1.1 TECHNOLOGY: MARKET DRIVERS
    6.2 SENSOR AND TRACKING TECHNOLOGY 
           6.2.1 RFID
           6.2.2 GPS AND LOCATION TRACKER
           6.2.3 OTHER SENSOR AND TRACKING TECHNOLOGIES
    6.3 CONNECTIVITY TECHNOLOGY 
           6.3.1 WIFI
           6.3.2 BLUETOOTH
           6.3.3 IOT 
           6.3.4 OTHER CONNECTIVITY TECHNOLOGIES
 
7 SMART SHOPPING CART MARKET SIZE, BY APPLICATION 
    7.1 INTRODUCTION 
           7.1.1 APPLICATION: MARKET DRIVERS
    7.2 SHOPPING MALLS 
    7.3 SUPERMARKET 
    7.4 OTHER APPLICATIONS 
 
8 SMART SHOPPING CART MARKET SIZE, BY MODE OF SALES 
    8.1 INTRODUCTION 
           8.1.1 MODE OF SALES: MARKET DRIVERS
    8.2 DIRECT  
    8.3 DISTRIBUTOR 
 
9 SMART SHOPPING CART MARKET SIZE, BY REGION 
    9.1 INTRODUCTION 
    9.2 NORTH AMERICA 
           9.2.1 NORTH AMERICA: MARKET DRIVERS
           9.2.2 NORTH AMERICA: RECESSION IMPACT
           9.2.3 UNITED STATES
           9.2.4 CANADA
    9.3 EUROPE 
           9.3.1 EUROPE: MARKET DRIVERS
           9.3.2 EUROPE: RECESSION IMPACT
           9.3.3 UNITED KINGDOM
           9.3.4 GERMANY
           9.3.5 FRANCE
           9.3.6 SPAIN
           9.3.7 ITALY
           9.3.8 REST OF EUROPE
    9.4 ASIA PACIFIC 
           9.4.1 ASIA PACIFIC: MARKET DRIVERS
           9.4.2 ASIA PACIFIC: RECESSION IMPACT
           9.4.3 CHINA
           9.4.4 JAPAN
           9.4.5 INDIA
           9.4.6 AUSTRALIA AND NEW ZEALAND
           9.4.7 SOUTH KOREA
           9.4.8 REST OF ASIA PACIFIC
    9.5 MIDDLE EAST & AFRICA 
           9.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
           9.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
           9.5.3 GCC COUNTRIES
                    9.5.3.1 Kingdom of Saudi Arabia
                    9.5.3.2 UAE
                    9.5.3.3 Rest of GCC Countries
           9.5.4 SOUTH AFRICA 
           9.5.5 REST OF MIDDLE EAST & AFRICA 
    9.6 LATIN AMERICA 
           9.6.1 LATIN AMERICA: MARKET DRIVERS
           9.6.2 LATIN AMERICA: RECESSION IMPACT
           9.6.3 BRAZIL
           9.6.4 MEXICO
           9.6.5 REST OF LATIN AMERICA
REST OF LATIN AMERICA
 
10 COMPETITIVE LANDSCAPE 
     10.1 KEY PLAYER STRATEGIES/RIGHT TO WIN 
     10.2 MARKET SHARE ANALYSIS 
             10.2.1 MARKET RANKING ANALYSIS
     10.3 REVENUE ANALYSIS  
     10.4 COMPANY EVALUATION MATRIX: KEY PLAYERS 
             10.4.1 STARS
             10.4.2 EMERGING LEADERS
             10.4.3 PERVASIVE PLAYERS
             10.4.4 PARTICIPANTS
             10.4.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
                       10.4.5.1 COMPANY FOOTPRINT
                       10.4.5.2 REGION FOOTPRINT
                       10.4.5.3 TECHNOLOGY FOOTPRINT
                       10.4.5.4 APPLICATION FOOTPRINT
                       10.4.5.5 MODE OF SALES FOOTPRINT
 
     10.5 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 
             10.5.1 PROGRESSIVE COMPANIES
             10.5.2 RESPONSIVE COMPANIES
             10.5.3 DYNAMIC COMPANIES
             10.5.4 STARTING BLOCKS
             10.5.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
                       10.5.5.1 DETAILED LIST OF KEY STARTUPS/SMES
                       10.5.5.2 COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
     10.6 COMPETITIVE SCENARIO AND TREND 
             10.6.1 PRODUCT LAUNCHES
             10.6.2 DEALS
             10.6.3 OTHERS
     10.7 BRAND/PRODUCT COMPARISON  
     10.8 COMPANY VALUATION AND FINANCIAL METRICS OF KEY SMART SHOPPING CART SOLUTION PROVIDERS 
 
11 COMPANY PROFILES 
     11.1 INTRODUCTION 
     11.2 KEY PLAYERS 
             11.2.1 AMAZON 
                       11.2.1.1 Business and Financial overview
                       11.2.1.2 Recent developments
                       11.2.1.3 MNM View
                                   11.2.1.3.1 Key strengths/right to win
                                   11.2.1.3.2 Strategic choices made
                                   11.2.1.3.3 Weaknesses and competitive threats
             11.2.2 WALMART
                       11.2.2.1 Business and Financial Overview
                       11.2.2.2 Recent developments
                       11.2.2.3 MNM View
                                   11.2.2.3.1 Key strengths/right to win
                                   11.2.2.3.2 Strategic choices made
                                   11.2.2.3.3 Weaknesses and competitive threats
             11.2.3 MICROSOFT
                       11.2.3.1 Business and Financial Overview
                       11.2.3.2 Recent developments
                       11.2.3.3 MNM View
                                   11.2.3.3.1 Key strengths/right to win
                                   11.2.3.3.2 Strategic choices made
                                   11.2.3.3.3 Weaknesses and competitive threats
             11.2.4 PANASONIC
                       11.2.4.1 Business and Financial Overview
                       11.2.4.2 Recent Developments
                       11.2.4.3 MNM View
                                   11.2.4.3.1 Key strengths/right to win
                                   11.2.4.3.2 Strategic choices made
                                   11.2.4.3.3 Weaknesses and competitive threats
             11.2.5 KROGER 
                       11.2.5.1 Business and Financial Overview
                       11.2.5.2 Recent Developments
                       11.2.5.3 MnM View
                                   11.2.5.3.1 Key strengths/right to win
                                   11.2.5.3.2 Strategic choices made
                                   11.2.5.3.3 Weaknesses and competitive threats
             11.2.6 CAPER
                       11.2.6.1 Business and Financial Overview
                       11.2.6.2 Recent developments
             11.2.7 ORACLE
                       11.2.7.1 Business and Financial Overview
                       11.2.7.2 Recent developments
             11.2.8 SAP
                       11.2.8.1 Business and Financial Overview
                       11.2.8.2 Recent developments
             11.2.9 NVIDIA
                       11.2.9.1 Business and Financial Overview
                       11.2.9.2 Recent developments
               11.2.10 COMPANY 10
            11.2.10.1 Business and Financial Overview
            11.2.10.2 Recent developments
     11.3 STARTUPS/SMES 
             11.3.1 PENTLAND FIRTH SOFTWARE
             11.3.2 METROCLICK
             11.3.3 CUST2MATE
             11.3.4 TRACXPOINT
             11.3.5 STANDARD AI
             11.3.6 GRABANGO
             11.3.7 SHOPIC
             11.3.8 RETAIL AI
             11.3.9 VEEVE
               11.3.10 SUPERSMART
               11.3.11 SUPERHII
(The list of players is subject to further modification over the course of research)
 
12 ADJACENT AND RELATED MARKETS 
     12.1 ADJACENT AND RELATED MARKETS 
     12.2 SMART RETAIL MARKET 
             12.2.1 MARKET DEFINITION
             12.2.2 MARKET OVERVIEW
     12.3 SMART SHELVES MARKET 
             12.3.1 MARKET DEFINITION
             12.3.2 MARKET OVERVIEW
 
13 APPENDIX 
     13.1 ADJACENT REPORTS 
     13.2 DISCUSSION GUIDE 
     13.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     13.4 AVAILABLE CUSTOMIZATIONS 
     13.5 RELATED REPORTS 
     13.6 AUTHOR DETAILS 
 

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