Retail Automation Market by Product, Type, End-User

List of Tables

[185 Pages Report] The Retail Automation Market size was estimated at USD 27.00 billion in 2023 and expected to reach USD 29.21 billion in 2024, at a CAGR 8.40% to reach USD 47.51 billion by 2030.

Retail automation refers to the application of technology solutions and integrations to automate retail operations and processes, enhancing efficiency, customer experience, and operational insights. This includes automated checkout systems, inventory management, shelf stocking robots, customer service robots, and data analytics systems. The goal is to improve accuracy, reduce labor costs, streamline operations, and facilitate superior customer service. Automation enables retailers to manage operations more efficiently, minimizing human errors and optimizing inventory management. Consumers' expectations for seamless, quick service and personalization have heightened the adoption of retail automation. However, integrating new technologies with existing systems poses technical challenges and can disrupt current operations. Retailers must navigate consumers' privacy and security concerns, particularly with data collection and personalized services, which can be cumbersome to achieve, and a breach of consumers' data can pose concerns about the reliability and safety of retail automation. However, key players are exploring advancements in blockchain technology and leveraging new encryption algorithms and protocols to overcome privacy issues and safeguard customer's data. Integration of advanced AI and Machine learning can further enhance personalized shopping experiences, forecast trends, and optimize inventory management.

KEY MARKET STATISTICS
Base Year [2023]	USD 27.00 billion
Estimated Year [2024]	USD 29.21 billion
Forecast Year [2030]	USD 47.51 billion
CAGR (%)	8.40%

Product: Utilization of barcode systems in product tracking and inventory management

Autonomous mobile robots (AMR) are designed to enhance operational efficiencies by automating material handling and data collection processes within the retail environment. They navigate using maps and sensors, optimizing tasks like inventory replenishment and order picking. Automated storage & retrieval systems (ASRS0 systems automate the placement and retrieval of items from defined storage locations, improving warehouse operations' speed and accuracy, thereby supporting the backend of retail businesses in managing inventory more effectively. Similar to AMRs, automated guided vehicles (AGVs) transport goods around a retail or warehouse setting but follow fixed paths laid out by magnetic strips or sensors. They are widely used for their simplicity and efficiency in repetitive material transport tasks. Barcodes and barcode scanners are critical in retail for inventory tracking, price checking, and expedited checkout processes. They are among the most widespread technologies for product identification and data capture. Advanced camera systems in retail enhance security and also provide valuable insights through video analytics, helping retailers understand customer behaviors and manage in-store operations more effectively. Cobots (collaborative robots) are designed to work alongside human employees, handling tasks such as packaging, palletizing, or carrying lightweight items. They are valued for their flexibility and safety features. Conveyor & sortation systems streamline the process of moving and organizing products, from unloading shipments to sorting them into designated areas. They are critical in ensuring efficiency in the storage and dispatch areas of retail. Electronic shelf labels (ESL) technology allows retailers to dynamically change product prices and information displayed on shelf labels, facilitating real-time pricing strategies and reducing the manual labor associated with price tag replacement. Implementation involves the deployment of automated systems within the retail space, requiring careful planning, software integration, and training to ensure seamless operation and maximum benefit from the invested technologies. Interactive kiosks provide self-service options for customers, offering functionalities such as product information, wayfinding, and even checkout services, thereby enhancing customer experience and reducing staff workload. Radiofrequency identification (RFID) technology employs electromagnetic fields to identify and track tags attached to objects. It's particularly useful in inventory management, allowing for real-time tracking of product movements and stock levels. Self-checkout systems empower customers to scan, bag, and pay for their purchases without cashier assistance. They optimize the checkout process, reduce wait times, and improve the overall shopping experience.

End-User: Need for retail automation in supermarkets due to the high level of digitalization

Hypermarkets represent a blend of supermarket and department store formats. They offer a vast array of products under one roof, including full grocery lines and general merchandise. Retail automation within hypermarkets includes self-checkout systems, electronic shelf labels, and automated inventory management systems. These technologies enhance operational efficiency, customer experience, and inventory accuracy. Non-food retail stores encompass outlets that predominantly sell non-food items, such as clothing, electronics, and home furnishings. Automation in these stores focuses on improving the shopping experience and streamlining inventory management. Implementations include mobile point-of-sale (POS) systems, RFID for inventory tracking, and interactive kiosks that offer information and facilitate purchases. Specialty stores concentrate on specific market niches, offering a narrow but deep assortment of merchandise. The use of retail automation within specialty stores is tailored to enhance the depth of customer engagement and improve stock management. Tools such as CRM systems, personalized marketing platforms, and automated replenishment systems are common to keep pace with specialized consumer demands and preferences. Supermarkets are primarily focused on selling food products alongside a limited range of household goods. Automation in supermarkets is extensive and diverse, including online shopping and delivery logistics, self-service checkout, and digital payment systems. Additionally, supermarkets often leverage data analytics for customer insights and inventory optimization, making them one of the most technologically integrated retail environments.

Regional Insights

In the Americas, with a keen focus on the United States and Canada, retail automation has been enthusiastically adopted owing to the technologically robust architecture and established retail industry. The United States, a pioneer in retail innovation, has seen significant growth in the adoption of technologies such as self-service kiosks, automated inventory management systems, and AI-driven customer service solutions. Investments in AI, machine learning, and robotics dominate the landscape, aimed at minimizing human intervention and optimizing retail operations. EU countries are at the forefront of retail automation, integrating digital solutions such as smart shelves, electronic shelf labels, and IoT in retail operations to offer personalized shopping experiences and efficient inventory management. The emphasis is on sustainability and reducing waste through smart retail solutions. The expansion of smart city initiatives in the EMEA region has benefitted the landscape of retail automation. The Asia Pacific region is distinguished by its rapid adoption of retail automation technologies, driven by China, Japan, and India. China leads with cutting-edge technology implementations such as AI-powered shopping assistants, mobile payments, and e-commerce, embodying a new retail model that blends online and offline experiences seamlessly. Japan focuses on precision and efficiency, with advancements in robotics for inventory and customer service roles and radio-frequency identification (RFID) for payment and tracking purposes. India is embracing digital transformation in retail at an accelerated pace, with a significant surge in online shopping and digital payments, supported by government initiatives such as Digital India.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Retail Automation Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Retail Automation Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Retail Automation Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd., Accenture plc, Adobe Inc., Amazon Web Services, Inc., AstraZeneca plc, Cognizant, Diebold Nixdorf, Fujitsu Limited, Honeywell International Inc., Infosys Limited, Kustomer, Microsoft Corporation, NCR Corporation, Oracle Corporation, SAP SE, SOHAM INC., Square, The International Business Machines Corporation, Toshiba Global Commerce Solutions, and Zebra Technologies.

Market Segmentation & Coverage

This research report categorizes the Retail Automation Market to forecast the revenues and analyze trends in each of the following sub-markets:

Product
- AMR
- ASRS
- Automated Guided Vehicles
- Barcode
- Cameras
- Cobots
- Conveyor & Sortation Systems
- ESL
- Implementation
- Interactive Kiosk
- RFID
- Self-checkout System

Type
- In-house
- Warehouse

End-User
- Hypermarkets
- Non-food Retail Stores
- Specialty Stores
- Supermarkets

Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam

Europe, Middle East & Africa
- Denmark
- Egypt
- Finland
- France
- Germany
- Israel
- Italy
- Netherlands
- Nigeria
- Norway
- Poland
- Qatar
- Russia
- Saudi Arabia
- South Africa
- Spain
- Sweden
- Switzerland
- Turkey
- United Arab Emirates
- United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Retail Automation Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Retail Automation Market?

3. What are the technology trends and regulatory frameworks in the Retail Automation Market?

4. What is the market share of the leading vendors in the Retail Automation Market?

5. Which modes and strategic moves are suitable for entering the Retail Automation Market?

Product Code: MRR-F97DD5A7E0F7

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Growing Consumer Demand For Quick And Streamlined Retail Services
  - 5.1.1.2. Government Initiatives To Digitize Retail Infrastructure Across The World
  - 5.1.1.3. Investments To Expand Smart City And Smart Store Operations
- 5.1.2. Restraints
  - 5.1.2.1. Complexities Of Integration Of Automation Technologies And Performance Issues
- 5.1.3. Opportunities
  - 5.1.3.1. Ongoing Advancements To Improve The Functionality And Efficiency Of Retail Automation Technologies
  - 5.1.3.2. Rising Efforts To Facilitate Sustainability And Eco Consciousness Through The Adoption Of Retail Automation Technologies And Tools
- 5.1.4. Challenges
  - 5.1.4.1. Data Privacy And Cybersecurity Issues
5.2. Market Segmentation Analysis
- 5.2.1. Product: Utilization of barcode systems in product tracking and inventory management
- 5.2.2. End-User: Need for retail automation in supermarkets due to the high level of digitalization
5.3. Market Disruption Analysis
5.4. Porter's Five Forces Analysis
- 5.4.1. Threat of New Entrants
- 5.4.2. Threat of Substitutes
- 5.4.3. Bargaining Power of Customers
- 5.4.4. Bargaining Power of Suppliers
- 5.4.5. Industry Rivalry
5.5. Value Chain & Critical Path Analysis
5.6. Pricing Analysis
5.7. Technology Analysis
5.8. Patent Analysis
5.9. Trade Analysis
5.10. Regulatory Framework Analysis

6. Retail Automation Market, by Product

6.1. Introduction
6.2. AMR
6.3. ASRS
6.4. Automated Guided Vehicles
6.5. Barcode
6.6. Cameras
6.7. Cobots
6.8. Conveyor & Sortation Systems
6.9. ESL
6.10. Implementation
6.11. Interactive Kiosk
6.12. RFID
6.13. Self-checkout System

7. Retail Automation Market, by Type

7.1. Introduction
7.2. In-house
7.3. Warehouse

8. Retail Automation Market, by End-User

8.1. Introduction
8.2. Hypermarkets
8.3. Non-food Retail Stores
8.4. Specialty Stores
8.5. Supermarkets

9. Americas Retail Automation Market

9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States

10. Asia-Pacific Retail Automation Market

10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam

11. Europe, Middle East & Africa Retail Automation Market

11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom

12. Competitive Landscape

12.1. Market Share Analysis, 2023
12.2. FPNV Positioning Matrix, 2023
12.3. Competitive Scenario Analysis
- 12.3.1. Simbe Expands Store Intelligence Solution to Support Large Format Retail Environments
- 12.3.2. Brain Corp and Dane Technologies Extend Partnership to Bring Inventory Scanning Retail Solutions to Market
- 12.3.3. Centific Launches of Pitaya.AI: A Suite of Intelligent Store Solutions to Enable Hyper-Automation and Immersive Experiences
12.4. Strategy Analysis & Recommendation

13. Competitive Portfolio

13.1. Key Company Profiles
13.2. Key Product Portfolio