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Automated Retail Market in United States

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    Report

  • 150 Pages
  • February 2026
  • Region: United States
  • Lucintel
  • ID: 6222281
UP TO OFF until Jan 01st 2030
The global automated retail market is expected to grow with a CAGR of 9.1% from 2025 to 2031. The automated retail market in United States is also forecasted to witness strong growth over the forecast period. The major drivers for this market are the rising consumer preference for convenient and flexible shopping options and growing demand for self-service options in various industries, such as banking, healthcare, and entertainment.

The future of the automated retail market in United States looks promising with opportunities in the airport, railway station, commercial street/building, and school markets.
  • Within the type category, CAD is expected to witness the highest growth over the forecast period.
  • Within the application category, the airport is expected to witness the highest growth.

Emerging Trends in the Automated Retail Market in United States

The automated retail market in the United States is rapidly evolving, driven by advances in technology and changing consumer behaviors. Automation is reshaping retail landscapes across the country, with innovations such as self-checkout systems, robotic vending machines, AI-driven personalization, and mobile integration. These trends cater to increasing consumer demand for speed, convenience, and contactless experiences. As the retail industry embraces automation, it is transforming the way consumers shop, how businesses operate, and the competitive dynamics of the retail sector.
  • Self-Checkout Systems: Self-checkout systems are being widely adopted across grocery stores, supermarkets, and convenience shops. These systems allow customers to scan, bag, and pay for items without assistance, reducing wait times and operational costs. With increased demand for fast and efficient shopping, these systems offer a seamless experience that benefits both consumers and retailers.
  • AI-Driven Personalization: AI technology is increasingly used to provide personalized shopping experiences in the United States. Automated systems use AI to analyze consumer data, recommend products, and offer tailored promotions. This not only enhances the customer experience but also boosts sales by offering consumers relevant and timely product suggestions, increasing both conversion rates and customer satisfaction.
  • Robotic Vending Machines: Robotic vending machines are being deployed in high-traffic areas, such as airports, offices, and malls, to offer a wide range of products. These machines are equipped with advanced robotics and artificial intelligence to handle product dispensation and provide a contactless shopping experience. Their 24/7 availability, along with minimal human interaction, makes them a valuable asset for both retailers and customers seeking convenience and accessibility.
  • Contactless and Mobile Payments: As the demand for contactless transactions rises, mobile payment systems and digital wallets are becoming the norm in automated retail settings. Retailers are integrating mobile payment solutions into their self-checkout systems and kiosks, allowing customers to make quick, secure, and convenient payments through their smartphones. The shift towards mobile payment systems is further accelerated by consumer preferences for hygiene and convenience.
  • Smart Inventory Management with IoT: The use of the Internet of Things (IoT) in inventory management is gaining traction in automated retail stores. Smart shelves equipped with IoT sensors track product availability in real-time, automatically alerting staff when items need replenishing. This reduces inventory errors, helps optimize stock levels, and ensures a smooth shopping experience for customers. Retailers are leveraging IoT to improve efficiency and reduce operational costs.
These emerging trends are reshaping the automated retail market in the United States by improving efficiency, personalizing experiences, and providing consumers with greater convenience. Automation technologies such as AI, self-checkout systems, and robotic solutions are allowing retailers to meet evolving consumer expectations and improve operational performance. As these trends continue to develop, they will define the future of retail in the country.

Recent Developments in the Automated Retail Market in United States

Recent developments in the automated retail market in the United States have been transformative, with advancements in self-checkout systems, AI-based personalization, and robotic solutions taking center stage. These innovations are reshaping how retailers engage with customers and streamline their operations. The growing reliance on automation is allowing businesses to operate more efficiently, reduce costs, and enhance the overall customer experience.
  • Widespread Deployment of Self-Checkout Systems: In the past few years, the use of self-checkout systems has become commonplace in the United States, particularly in grocery stores and supermarkets. These systems enable customers to scan and pay for their items without requiring interaction with a cashier, reducing waiting times and increasing store efficiency. Self-checkouts have also helped reduce labor costs and improve customer satisfaction by offering greater convenience.
  • Expansion of Robotic Vending Solutions: The deployment of robotic vending machines has expanded across the United States, especially in areas with high foot traffic, such as airports and train stations. These machines provide easy access to a wide variety of products, including snacks, beverages, and electronics. By operating autonomously, robotic vending solutions provide 24/7 service, reduce the need for human staff, and cater to the increasing demand for quick, automated shopping experiences.
  • AI-Based Personalized Shopping Experiences: Retailers in the U.S. are increasingly leveraging artificial intelligence to offer personalized shopping experiences. AI algorithms analyze customer data to offer tailored product recommendations, promotions, and advertisements, providing a more relevant shopping experience. E-commerce platforms and physical stores are using AI to create more engaging and customized customer journeys, ultimately boosting customer loyalty and driving sales.
  • Increased Adoption of Mobile and Contactless Payments: The use of mobile and contactless payment systems has surged in the U.S. Automated retail stores are now incorporating mobile payment options, enabling customers to make quick, secure, and touch-free transactions. This trend has been particularly accelerated by the COVID-19 pandemic, as customers prioritize hygiene and convenience. Retailers are integrating mobile payments with their self-checkout and vending systems, making the process faster and more convenient.
  • Smart Shelves and IoT-Driven Inventory Management: IoT technology is increasingly being integrated into retail stores across the U.S. Smart shelves with sensors track product levels in real-time, automatically notifying employees when items need restocking. This improves inventory management by reducing stockouts, preventing overstocking, and optimizing product distribution. The ability to track real-time data also helps retailers analyze shopping patterns and enhance supply chain efficiency.
These recent developments are significantly impacting the automated retail market in the United States. By adopting technologies like self-checkout systems, AI-driven solutions, and robotic vending machines, retailers are transforming the customer experience, enhancing operational efficiency, and driving down costs. The increased focus on automation and technology is making retail more efficient and consumer-friendly, setting the stage for the future of the industry.

Strategic Growth Opportunities for Automated Retail Market in United States

The automated retail market in the United States presents numerous growth opportunities for retailers looking to capitalize on automation. The demand for more convenient, efficient, and personalized shopping experiences is driving innovations across multiple applications. Retailers can leverage AI, robotics, mobile technologies, and IoT to expand their market presence, optimize operations, and meet evolving consumer preferences.
  • Expansion of AI-Powered Personalization: AI offers retailers the opportunity to create personalized shopping experiences for their customers by analyzing consumer behavior and tailoring product recommendations. Retailers can also use AI to improve customer service, streamline supply chains, and implement predictive inventory management. The use of AI-powered chatbots, virtual assistants, and smart kiosks will further enhance the consumer experience, helping businesses engage with customers in real-time.
  • Robotic Solutions for Contactless Retail: As consumers continue to prioritize safety and convenience, robotic solutions for vending machines and product delivery offer a significant growth opportunity. Robotic vending machines allow businesses to automate the sale of a variety of products, ranging from food and beverages to electronics. By integrating advanced robotics and AI, retailers can expand the reach of their products, minimize labor costs, and provide a frictionless, 24/7 shopping experience.
  • Growth of Self-Checkout Systems in Convenience Stores: Self-checkout systems are experiencing significant growth in convenience stores and smaller retail formats. These systems reduce labor costs, improve transaction speeds, and create a more efficient shopping experience. As consumer demand for fast and frictionless shopping increases, self-checkout systems are becoming an essential part of the retail ecosystem. Retailers can expand their self-checkout options to meet the growing need for faster and more convenient shopping experiences.
  • Mobile Payment Integration in Automated Retail: The increasing adoption of mobile payments presents a key opportunity for growth in the automated retail market. Integrating mobile payment systems with self-checkout kiosks, robotic vending machines, and mobile apps provides customers with a seamless, contactless shopping experience. Retailers can capitalize on mobile payment technologies to increase customer satisfaction, reduce transaction times, and boost sales.
  • IoT-Enabled Inventory Management: IoT technology provides retailers with an opportunity to improve inventory management and enhance customer satisfaction. IoT-enabled smart shelves and sensors track inventory levels in real-time, ensuring that popular products are always in stock. These smart systems help reduce waste, optimize restocking schedules, and improve the efficiency of supply chains. IoT integration can also enhance the accuracy of inventory tracking and reporting, resulting in cost savings for retailers.
The strategic growth opportunities in the U.S. automated retail market focus on AI-driven personalization, robotics, mobile payment systems, and IoT-based solutions. By investing in these technologies, retailers can enhance operational efficiency, provide personalized experiences, and meet the increasing demand for contactless and convenient shopping. These opportunities will shape the future of retail, driving growth and innovation in the U.S. market.

Automated Retail Market in United States Drivers and Challenges

The growth of the automated retail market in the United States is driven by technological advancements, shifting consumer preferences, and economic factors. However, the market also faces several challenges, such as high initial investment costs, technical complexities, and regulatory hurdles. Understanding these drivers and challenges is crucial for retailers looking to successfully implement automation in their operations.

The factors responsible for driving the automated retail market in United States include:

  • Technological Advancements: The rapid pace of technological innovation is one of the main drivers of the automated retail market in the U.S. Advancements in AI, robotics, IoT, and mobile payment systems are enabling retailers to automate various aspects of their operations, from checkout to inventory management. These technologies not only improve efficiency but also enhance the customer experience, providing more convenience and personalization.
  • Consumer Demand for Convenience and Speed: As consumer expectations evolve, the demand for faster, more convenient shopping experiences is driving the adoption of automated retail technologies. Self-checkouts, mobile payments, and robotic vending machines offer shoppers quick and frictionless ways to purchase products, while reducing wait times and minimizing human interaction. Retailers are responding to this demand by investing in automated solutions to stay competitive.
  • Cost Efficiency and Labor Reduction: Automation helps retailers reduce operational costs by minimizing the need for human labor in tasks like checkout and inventory management. By implementing self-checkout systems, robotic solutions, and AI-powered analytics, retailers can streamline operations, improve accuracy, and reduce overhead costs. These cost savings are driving the widespread adoption of automation in retail.
  • Post-Pandemic Contactless Preferences: The COVID-19 pandemic has accelerated the shift towards contactless shopping experiences, which has boosted the demand for automated retail solutions. Consumers are more concerned with hygiene and safety than ever before, leading to greater adoption of self-checkouts, robotic vending machines, and mobile payments. These automated systems help retailers maintain a hygienic and safe shopping environment.
  • Improved Data Collection and Analytics: Automated retail solutions provide retailers with vast amounts of data about customer behavior, inventory trends, and operational performance. This data can be analyzed to make more informed business decisions, optimize inventory management, and personalize marketing strategies. The use of data analytics is driving growth in the automated retail market as businesses look to leverage insights for competitive advantage.

Challenges in the automated retail market in United States are:

  • High Initial Investment: Implementing automated retail systems can be expensive, particularly for smaller businesses. The upfront costs of installing self-checkout systems, robotic vending machines, and AI-powered technologies can be a significant barrier to entry for many retailers. Despite the long-term benefits, the high initial investment remains a major challenge for widespread adoption.
  • Technical Maintenance and Complexity: Automated systems require ongoing maintenance and technical expertise, which can be a challenge for retailers. The complexity of managing and troubleshooting these systems increases the likelihood of downtime and operational disruptions. Additionally, the need for specialized technical staff can further increase costs.
  • Regulatory and Data Privacy Concerns: With the increased use of AI and data-driven solutions, retailers must comply with data privacy regulations such as GDPR in the U.S. This creates additional complexities and risks for businesses, particularly in managing consumer data and ensuring the security of automated systems. Retailers must navigate these regulatory challenges to avoid legal and reputational risks.
The U.S. automated retail market is driven by technological advancements, consumer demand for convenience, cost efficiency, and the desire for contactless experiences. However, challenges such as high initial investment costs, technical complexities, and regulatory compliance must be addressed for successful implementation. Retailers that overcome these challenges will be well-positioned to capitalize on the growing demand for automation in the retail industry.

List of Automated Retail Market in United States Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies, automated retail companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base.

Some of the automated retail companies profiled in this report include:

  • Company 1
  • Company 2
  • Company 3
  • Company 4
  • Company 5
  • Company 6
  • Company 7

Automated Retail Market in United States by Segment

The study includes a forecast for the automated retail market in United States by type and application.

Type [Analysis by Value from 2019 to 2031]:

  • CAD (Computer Aided Designing)
  • NCD (Numerically Controlled Devices)
  • Robot
  • Information Technology

Application [Analysis by Value from 2019 to 2031]:

  • Airport
  • Railway Station
  • Commercial Street/Building
  • School
  • Others

Features of the Automated Retail Market in United States

  • Market Size Estimates: Automated retail in United States market size estimation in terms of value ($B).
  • Trend and Forecast Analysis: Market trends and forecasts by various segments.
  • Segmentation Analysis: Automated retail in United States market size by type and application in terms of value ($B).
  • Growth Opportunities: Analysis of growth opportunities in different type and application for the automated retail in United States.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape of the automated retail in United States.
  • Analysis of competitive intensity of the industry based on Porter’s Five Forces model.

This report answers the following 10 key questions:

Q.1. What are some of the most promising, high-growth opportunities for the automated retail market in United States by type (CAD (computer aided designing), NCD (numerically controlled devices), robot, and information technology) and application (airport, railway station, commercial street/building, school, and others)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.4. What are the business risks and competitive threats in this market?
Q.5. What are the emerging trends in this market and the reasons behind them?
Q.6. What are some of the changing demands of customers in the market?
Q.7. What are the new developments in the market? Which companies are leading these developments?
Q.8. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.9. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.10. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

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Table of Contents

1. Executive Summary
2. Overview
2.1 Background and Classifications
2.2 Supply Chain
3. Market Trends & Forecast Analysis
3.1 Industry Drivers and Challenges
3.2 PESTLE Analysis
3.3 Patent Analysis
3.4 Regulatory Environment
3.5 Automated Retail Market in United States Trends and Forecast
4. Automated Retail Market in United States by Type
4.1 Overview
4.2 Attractiveness Analysis by Type
4.3 CAD (Computer Aided Designing): Trends and Forecast (2019-2031)
4.4 NCD (Numerically Controlled Devices): Trends and Forecast (2019-2031)
4.5 Robot: Trends and Forecast (2019-2031)
4.6 Information Technology: Trends and Forecast (2019-2031)
5. Automated Retail Market in United States by Application
5.1 Overview
5.2 Attractiveness Analysis by Application
5.3 Airport: Trends and Forecast (2019-2031)
5.4 Railway Station: Trends and Forecast (2019-2031)
5.5 Commercial Street/Building: Trends and Forecast (2019-2031)
5.6 School: Trends and Forecast (2019-2031)
5.7 Others: Trends and Forecast (2019-2031)
6. Competitor Analysis
6.1 Product Portfolio Analysis
6.2 Operational Integration
6.3 Porter’s Five Forces Analysis
  • Competitive Rivalry
  • Bargaining Power of Buyers
  • Bargaining Power of Suppliers
  • Threat of Substitutes
  • Threat of New Entrants
6.4 Market Share Analysis
7. Opportunities & Strategic Analysis
7.1 Value Chain Analysis
7.2 Growth Opportunity Analysis
7.2.1 Growth Opportunities by Type
7.2.2 Growth Opportunities by Application
7.3 Emerging Trends in the Automated Retail Market in United States
7.4 Strategic Analysis
7.4.1 New Product Development
7.4.2 Certification and Licensing
7.4.3 Mergers, Acquisitions, Agreements, Collaborations, and Joint Ventures
8. Company Profiles of the Leading Players Across the Value Chain
8.1 Competitive Analysis
8.2 Company 1
  • Company Overview
  • Automated Retail Market in United States Business Overview
  • New Product Development
  • Merger, Acquisition, and Collaboration
  • Certification and Licensing
8.3 Company 2
  • Company Overview
  • Automated Retail Market in United States Business Overview
  • New Product Development
  • Merger, Acquisition, and Collaboration
  • Certification and Licensing
8.4 Company 3
  • Company Overview
  • Automated Retail Market in United States Business Overview
  • New Product Development
  • Merger, Acquisition, and Collaboration
  • Certification and Licensing
8.5 Company 4
  • Company Overview
  • Automated Retail Market in United States Business Overview
  • New Product Development
  • Merger, Acquisition, and Collaboration
  • Certification and Licensing
8.6 Company 5
  • Company Overview
  • Automated Retail Market in United States Business Overview
  • New Product Development
  • Merger, Acquisition, and Collaboration
  • Certification and Licensing
8.7 Company 6
  • Company Overview
  • Automated Retail Market in United States Business Overview
  • New Product Development
  • Merger, Acquisition, and Collaboration
  • Certification and Licensing
8.8 Company 7
  • Company Overview
  • Automated Retail Market in United States Business Overview
  • New Product Development
  • Merger, Acquisition, and Collaboration
  • Certification and Licensing
9. Appendix
9.1 List of Figures
9.2 List of Tables
9.3 Research Methodology
9.4 Disclaimer
9.5 Copyright
9.6 Abbreviations and Technical Units
9.7 About Us
9.8 Contact Us
List of Figures
Chapter 1
Figure 1.1: Trends and Forecast for the Automated Retail Market in United States
Chapter 2
Figure 2.1: Usage of Automated Retail Market in United States
Figure 2.2: Classification of the Automated Retail Market in United States
Figure 2.3: Supply Chain of the Automated Retail Market in United States
Chapter 3
Figure 3.1: Driver and Challenges of the Automated Retail Market in United States
Chapter 4
Figure 4.1: Automated Retail Market in United States by Type in 2019, 2024, and 2031
Figure 4.2: Trends of the Automated Retail Market in United States ($B) by Type
Figure 4.3: Forecast for the Automated Retail Market in United States ($B) by Type
Figure 4.4: Trends and Forecast for CAD (Computer Aided Designing) in the Automated Retail Market in United States (2019-2031)
Figure 4.5: Trends and Forecast for NCD (Numerically Controlled Devices) in the Automated Retail Market in United States (2019-2031)
Figure 4.6: Trends and Forecast for Robot in the Automated Retail Market in United States (2019-2031)
Figure 4.7: Trends and Forecast for Information Technology in the Automated Retail Market in United States (2019-2031)
Chapter 5
Figure 5.1: Automated Retail Market in United States by Application in 2019, 2024, and 2031
Figure 5.2: Trends of the Automated Retail Market in United States ($B) by Application
Figure 5.3: Forecast for the Automated Retail Market in United States ($B) by Application
Figure 5.4: Trends and Forecast for Airport in the Automated Retail Market in United States (2019-2031)
Figure 5.5: Trends and Forecast for Railway Station in the Automated Retail Market in United States (2019-2031)
Figure 5.6: Trends and Forecast for Commercial Street/Building in the Automated Retail Market in United States (2019-2031)
Figure 5.7: Trends and Forecast for School in the Automated Retail Market in United States (2019-2031)
Figure 5.8: Trends and Forecast for Others in the Automated Retail Market in United States (2019-2031)
Chapter 6
Figure 6.1: Porter’s Five Forces Analysis of the Automated Retail Market in United States
Figure 6.2: Market Share (%) of Top Players in the Automated Retail Market in United States (2024)
Chapter 7
Figure 7.1: Growth Opportunities for the Automated Retail Market in United States by Type
Figure 7.2: Growth Opportunities for the Automated Retail Market in United States by Application
Figure 7.3: Emerging Trends in the Automated Retail Market in United States
List of Tables
Chapter 1
Table 1.1: Growth Rate (%, 2023-2024) and CAGR (%, 2025-2031) of the Automated Retail Market in United States by Type and Application
Table 1.2: Automated Retail Market in United States Parameters and Attributes
Chapter 3
Table 3.1: Trends of the Automated Retail Market in United States (2019-2024)
Table 3.2: Forecast for the Automated Retail Market in United States (2025-2031)
Chapter 4
Table 4.1: Attractiveness Analysis for the Automated Retail Market in United States by Type
Table 4.2: Size and CAGR of Various Type in the Automated Retail Market in United States (2019-2024)
Table 4.3: Size and CAGR of Various Type in the Automated Retail Market in United States (2025-2031)
Table 4.4: Trends of CAD (Computer Aided Designing) in the Automated Retail Market in United States (2019-2024)
Table 4.5: Forecast for CAD (Computer Aided Designing) in the Automated Retail Market in United States (2025-2031)
Table 4.6: Trends of NCD (Numerically Controlled Devices) in the Automated Retail Market in United States (2019-2024)
Table 4.7: Forecast for NCD (Numerically Controlled Devices) in the Automated Retail Market in United States (2025-2031)
Table 4.8: Trends of Robot in the Automated Retail Market in United States (2019-2024)
Table 4.9: Forecast for Robot in the Automated Retail Market in United States (2025-2031)
Table 4.10: Trends of Information Technology in the Automated Retail Market in United States (2019-2024)
Table 4.11: Forecast for Information Technology in the Automated Retail Market in United States (2025-2031)
Chapter 5
Table 5.1: Attractiveness Analysis for the Automated Retail Market in United States by Application
Table 5.2: Size and CAGR of Various Application in the Automated Retail Market in United States (2019-2024)
Table 5.3: Size and CAGR of Various Application in the Automated Retail Market in United States (2025-2031)
Table 5.4: Trends of Airport in the Automated Retail Market in United States (2019-2024)
Table 5.5: Forecast for Airport in the Automated Retail Market in United States (2025-2031)
Table 5.6: Trends of Railway Station in the Automated Retail Market in United States (2019-2024)
Table 5.7: Forecast for Railway Station in the Automated Retail Market in United States (2025-2031)
Table 5.8: Trends of Commercial Street/Building in the Automated Retail Market in United States (2019-2024)
Table 5.9: Forecast for Commercial Street/Building in the Automated Retail Market in United States (2025-2031)
Table 5.10: Trends of School in the Automated Retail Market in United States (2019-2024)
Table 5.11: Forecast for School in the Automated Retail Market in United States (2025-2031)
Table 5.12: Trends of Others in the Automated Retail Market in United States (2019-2024)
Table 5.13: Forecast for Others in the Automated Retail Market in United States (2025-2031)
Chapter 6
Table 6.1: Product Mapping of Automated Retail Market in United States Suppliers Based on Segments
Table 6.2: Operational Integration of Automated Retail Market in United States Manufacturers
Table 6.3: Rankings of Suppliers Based on Automated Retail Market in United States Revenue
Chapter 7
Table 7.1: New Product Launches by Major Automated Retail Market in United States Producers (2019-2024)
Table 7.2: Certification Acquired by Major Competitor in the Automated Retail Market in United States

Methodology

The analyst has been in the business of market research and management consulting since 2000 and has published over 600 market intelligence reports in various markets/applications and served over 1,000 clients worldwide. Each study is a culmination of four months of full-time effort performed by the analyst team. The analysts used the following sources for the creation and completion of this valuable report:

  • In-depth interviews of the major players in the market
  • Detailed secondary research from competitors’ financial statements and published data
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of professionals, who have analyzed and tracked the market over the years.

Extensive research and interviews are conducted in the supply chain of the market to estimate market share, market size, trends, drivers, challenges and forecasts.

Thus, the analyst compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. The analyst then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process.

 

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