Retail Automation Market by Product (AMR, ASRS, Automated Guided Vehicles), Type (In-house, Warehouse), End-User - Global Forecast 2024-2030

Retail Automation Market by Product (AMR, ASRS, Automated Guided Vehicles), Type (In-house, Warehouse), End-User - Global Forecast 2024-2030


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.

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.

Market Insights

Market Dynamics

The market dynamics represent an ever-changing landscape of the Retail Automation Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

Market Drivers

Growing Consumer Demand For Quick And Streamlined Retail Services
Government Initiatives To Digitize Retail Infrastructure Across The World
Investments To Expand Smart City And Smart Store Operations

Market Restraints

Complexities Of Integration Of Automation Technologies And Performance Issues

Market Opportunities

Ongoing Advancements To Improve The Functionality And Efficiency Of Retail Automation Technologies
Rising Efforts To Facilitate Sustainability And Eco Consciousness Through The Adoption Of Retail Automation Technologies And Tools

Market Challenges

Data Privacy And Cybersecurity Issues

Market Segmentation Analysis

Product: Utilization of barcode systems in product tracking and inventory management
End-User: Need for retail automation in supermarkets due to the high level of digitalization

Market Disruption Analysis

Porter’s Five Forces Analysis
Value Chain & Critical Path Analysis
Pricing Analysis
Technology Analysis
Patent Analysis
Trade Analysis
Regulatory Framework Analysis

FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Retail Automation Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment 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, namely 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 assessment of the current state of vendors in the Retail Automation Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. 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 these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments

Simbe Expands Store Intelligence Solution to Support Large Format Retail Environments

Simbe, a provider of retail store robotics and automation solutions, has announced the launch of an intelligence platform for large-format retail environments. Simbe’s solution works throughout the store environment for packaged goods, meat, dairy, frozen, beauty, and alcohol. The high precision of Simbe’s computer vision, which is facilitated by its autonomous robot Tally, analyzes products and price tags on even the tallest club shelves.

Brain Corp and Dane Technologies Extend Partnership to Bring Inventory Scanning Retail Solutions to Market

Brain Corp, an AI company creating core technology in robotics and AI, and Dane Technologies announced an expanded partnership for the development of inventory scanning retail solutions, which would be built on Brain Corp's next-generation robotics platform. The next-generation platform would be designed with a new, modular architecture, representing the latest evolution of Brain Corp's BrainOS robotics platform.

Centific Launches of Pitaya.AI: A Suite of Intelligent Store Solutions to Enable Hyper-Automation and Immersive Experiences

Centific Global Solutions announced the launch of its innovative retail automation solution, Pitaya.AI, a Software as a Service (SaaS) platform for retailers that provides a suite of smart store solutions. These solutions make use of AI to tackle industry-wide business challenges such as shrinkage, workplace safety, stockout issues, and lack of customer behavior visibility.

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Retail Automation Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

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

Please Note: PDF & Excel + Online Access - 1 Year


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

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