Retail Automation Market - By Implementation Type, By Product Outlook (Point-of-Sale, Automated Identification Systems, Electronic Shelf Label, Camera, Robots, AGVs, Automated Storage and Retrieval Systems, Conveyor & Sortation System), By Component, By E

Retail Automation Market - By Implementation Type, By Product Outlook (Point-of-Sale, Automated Identification Systems, Electronic Shelf Label, Camera, Robots, AGVs, Automated Storage and Retrieval Systems, Conveyor & Sortation System), By Component, By End-user & Forecast 2024 - 2032


Retail Automation Market size will grow at over 10% CAGR during 2024-2032, driven by rapid technological advancements and the rising labor costs.

According to sources, over 67% of customers prefer self-service over speaking to a representative. Customers increasingly favor self-service methods over traditional interactions with customer service representatives. This shift is prompting retailers to invest in automated solutions to meet the evolving consumer preferences. By adopting technologies, such as kiosks, mobile apps, and automated checkout systems, retailers not only enhance customer satisfaction but also streamline operations and reduce costs. With the implementation of self-service technologies, retailers not only meet consumer expectations but also optimize their operations. Automated solutions further streamline processes, reduce wait times, and minimize the need for human intervention, leading to improved efficiency and cost savings.

The retail automation industry is classified into product outlook, component, implementation type, end-use and region.

By component, the market size from the software segment will grow at rapid pace by 2032.With the evolution of advanced analytics, machine learning, and AI technologies, retailers are leveraging sophisticated software solutions to analyze vast amounts of data and gain actionable insights into consumer behavior, preferences, and purchasing patterns. This enables retailers to personalize marketing strategies, optimize inventory management to offer tailored shopping experiences, improve operational efficiency and enhance fraud detection capabilities.

In terms of product outlook, the retail automation market from the camera segment will record robust rate through 2032. Advanced camera systems equipped with computer vision and image recognition capabilities enable retailers to effectively monitor in-store activities, analyze customer movements, and track inventory levels in real-time. Moreover, they facilitate the implementation of innovative applications, such as cashier-less checkout systems and smart shelf solutions, thereby enhancing operational efficiency and elevating the overall shopping experience for consumers. Additionally, camera technology enables retailers to gather valuable insights into foot traffic patterns and dwell times, allowing them to optimize store layouts and product placements for increased sales.

Asia Pacific retail automation industry will expand at a steady rate from 2024 to 2032, driven by rapid urbanization, burgeoning e-commerce sector, and the increasing disposable incomes across emerging economies in the region. Countries, such as China, India, and Japan are largely adopting automation technologies to address the evolving consumer demands and enhance operational efficiency in the retail landscape. Furthermore, favorable government initiatives for promoting digitalization and technological advancements are augmenting the market growth.


Chapter 1 Methodology & Scope
1.1 Market scope & definition
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data sources
1.4.1 Primary
1.4.2 Secondary
1.4.2.1 Paid sources
1.4.2.2 Public sources
Chapter 2 Executive Summary
2.1 Retail automation industry 360 degree synopsis, 2018 - 2032
2.2 Business trends
2.2.1 Total Addressable Market (TAM), 2024-2032
Chapter 3 Industry Insights
3.1 Industry ecosystem analysis
3.2 Vendor matrix
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
3.8.1 Growth drivers
3.8.1.1 Rising demand for seamless customer experiences
3.8.1.2 Advancements in automation intelligence technology
3.8.1.3 Growing need for inventory management and accuracy
3.8.1.4 Expansion of e-commerce necessitates automated fulfillment solutions
3.8.1.5 Increasing labor costs drive automation adoption
3.8.2 Industry pitfalls & challenges
3.8.2.1 Concerns about job displacement and workforce implications
3.8.2.2 Lack of customization options limits suitability for diverse businesses
3.9 Growth potential analysis
3.10 Porter's analysis
3.10.1 Supplier power
3.10.2 Buyer power
3.10.3 Threat of new entrants
3.10.4 Threat of substitutes
3.10.5 Industry rivalry
3.11 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix
Chapter 5 Market Estimates & Forecast, By Implementation Type, 2018 - 2032 (USD Million)
5.1 Key trends
5.2 In-store
5.3 Warehouse
Chapter 6 Market Estimates & Forecast, By Product Outlook, 2018 - 2032 (USD Million)
6.1 Key trends
6.2 Point-of-Sale (POS)
6.3 Automated Identification Systems
6.4 Electronic shelf label
6.5 Camera
6.6 Robots
6.7 AGVs
6.8 Automated storage and retrieval systems
6.9 Conveyor & sortation system
6.10 Others
Chapter 7 Market Estimates & Forecast, By Component, 2018 - 2032 (USD Million)
7.1 Key trends
7.2 Hardware
7.3 Software
7.4 Services
Chapter 8 Market Estimates & Forecast, By End-User, 2018 - 2032 (USD Million)
8.1 Key trends
8.2 Hypermarkets
8.3 Supermarkets
8.4 Non-food retail stores
8.5 Specialty stores
8.6 Others
Chapter 9 Market Estimates & Forecast, By Region, 2018 - 2032 (USD Million)
9.1 Key trends
9.2 North America
9.2.1 U.S.
9.2.2 Canada
9.3 Europe
9.3.1 UK
9.3.2 Germany
9.3.3 France
9.3.4 Italy
9.3.5 Spain
9.3.6 Rest of Europe
9.4 Asia Pacific
9.4.1 China
9.4.2 India
9.4.3 Japan
9.4.4 South Korea
9.4.5 ANZ
9.4.6 Rest of Asia Pacific
9.5 Latin America
9.5.1 Brazil
9.5.2 Mexico
9.5.3 Rest of Latin America
9.6 MEA
9.6.1 UAE
9.6.2 South Africa
9.6.3 Saudi Arabia
9.6.4 Rest of MEA
Chapter 10 Company Profiles
10.1 Datalogic S.p.A
10.2 Diebold Nixdorf, Incorporated
10.3 ECR Software Corporation
10.4 Emarsys eMarketing Systems AG
10.5 Fiserv Inc.
10.6 Fujitsu Limited
10.7 Honeywell International Inc.
10.8 NCR Corporation
10.9 Posiflex Technology Inc.
10.10 RapidPricer B.V.

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