What is AI in retail?

AI in retail refers to the use of artificial intelligence technologies, such as machine learning, natural language processing, and computer vision, to improve various aspects of the retail industry, including customer experience, inventory management, and marketing.

How big is AI in Retail Market?

The Global AI in Retail Market size is expected to be worth around USD 127.2 Billion by 2033, from USD 9.3 Billion in 2023, growing at a CAGR of 29.9% during the forecast period from 2024 to 2033.

Who are the prominent players operating in the AI in Retail market?

The major players operating in the artificial intelligence (AI) in retail market are IBM Corporation, Microsoft Corporation, Oracle Corporation, Google LLC, NVIDIA Corporation, Intel Corporation, Amazon Web Services Inc., SAP SE, Salesforce Inc., RetailNext Inc., Accenture plc, Other Key Players

What are the key drivers of growth in the AI in retail market?

The growth of the AI in retail market can be attributed to factors such as the increasing demand for personalized shopping experiences, the need for more efficient inventory management, and the growing use of data analytics in retail operations.

What are the major challenges facing the AI in retail market?

Some of the challenges facing the AI in retail market include concerns about data privacy and security, the need for skilled AI talent, and the potential for bias in AI algorithms.

Which regions are expected to see the highest growth in the AI in retail market?

The AI in retail market is expected to see the highest growth in regions such as North America, Europe, and Asia-Pacific, due to factors such as the high level of technological adoption, the presence of major retail companies, and the increasing use of e-commerce.

Global AI in Retail Market By Component (Solution, Services), By Technology (Machine Learning, Computer Vision, Natural Language Processing (NLP), Other Technologies), By Application (Customer Relationship Management, Supply Chain and Inventory Management, In-store Navigation, Price Optimization, Payment Services, Other Applications), By End-User (Omni-Channel Retailers, Online Retailers, Brick-and-Mortar Retailers), By Region And Key Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends And Forecast 2024-2033

Published date: Feb. 2024
Report ID: 115553
Number of Pages: 238
Format:

- 1. Executive Summary
  - 1.1. Definition
  - 1.2. Taxonomy
  - 1.3. Research Scope
  - 1.4. Key Analysis
  - 1.5. Key Findings by Major Segments
  - 1.6. Top strategies by Major Players
- 2. Global AI in Retail Market Overview
  - 2.1. AI in Retail Market Dynamics
    2.1.1. Drivers
    2.1.2. Opportunities
    2.1.3. Restraints
    2.1.4. Challenges
  - 2.2. Macro-economic Factors
  - 2.3. Regulatory Framework
  - 2.4. Market Investment Feasibility Index
  - 2.5. PEST Analysis
  - 2.6. PORTER’S Five Force Analysis
  - 2.7. Drivers & Restraints Impact Analysis
  - 2.8. Industry Chain Analysis
  - 2.9. Cost Structure Analysis
  - 2.10. Marketing Strategy
  - 2.11. Russia-Ukraine War Impact Analysis
  - 2.12. Opportunity Map Analysis
  - 2.13. Market Competition Scenario Analysis
  - 2.14. Product Life Cycle Analysis
  - 2.15. Opportunity Orbits
  - 2.16. Manufacturer Intensity Map
  - 2.17. Major Companies sales by Value & Volume
- 3. Global AI in Retail Market Analysis, Opportunity and Forecast, 2016-2032
  - 3.1. Global AI in Retail Market Analysis, 2016-2021
  - 3.2. Global AI in Retail Market Opportunity and Forecast, 2023-2032
  - 3.3. Global AI in Retail Market Analysis, Opportunity and Forecast, By Component, 2016-2032
    3.3.1. Global AI in Retail Market Analysis by Component: Introduction
    3.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Component, 2016-2032
    3.3.3. Solution
    3.3.4. Services
  - 3.4. Global AI in Retail Market Analysis, Opportunity and Forecast, By Technology, 2016-2032
    3.4.1. Global AI in Retail Market Analysis by Technology: Introduction
    3.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Technology, 2016-2032
    3.4.3. Machine Learning
    3.4.4. Computer Vision
    3.4.5. Natural Language Processing (NLP)
    3.4.6. Other Technologies
  - 3.5. Global AI in Retail Market Analysis, Opportunity and Forecast, By Application, 2016-2032
    3.5.1. Global AI in Retail Market Analysis by Application: Introduction
    3.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Application, 2016-2032
    3.5.3. Customer Relationship Management
    3.5.4. Supply Chain and Inventory Management
    3.5.5. In-store Navigation
    3.5.6. Price Optimization
    3.5.7. Payment Services
    3.5.8. Other Applications
- 4. North America AI in Retail Market Analysis, Opportunity and Forecast, 2016-2032
  - 4.1. North America AI in Retail Market Analysis, 2016-2021
  - 4.2. North America AI in Retail Market Opportunity and Forecast, 2023-2032
  - 4.3. North America AI in Retail Market Analysis, Opportunity and Forecast, By Component, 2016-2032
    4.3.1. North America AI in Retail Market Analysis by Component: Introduction
    4.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Component, 2016-2032
    4.3.3. Solution
    4.3.4. Services
  - 4.4. North America AI in Retail Market Analysis, Opportunity and Forecast, By Technology, 2016-2032
    4.4.1. North America AI in Retail Market Analysis by Technology: Introduction
    4.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Technology, 2016-2032
    4.4.3. Machine Learning
    4.4.4. Computer Vision
    4.4.5. Natural Language Processing (NLP)
    4.4.6. Other Technologies
  - 4.5. North America AI in Retail Market Analysis, Opportunity and Forecast, By Application, 2016-2032
    4.5.1. North America AI in Retail Market Analysis by Application: Introduction
    4.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Application, 2016-2032
    4.5.3. Customer Relationship Management
    4.5.4. Supply Chain and Inventory Management
    4.5.5. In-store Navigation
    4.5.6. Price Optimization
    4.5.7. Payment Services
    4.5.8. Other Applications
- 5. Europe AI in Retail Market Analysis, Opportunity and Forecast, 2016-2032
  - 5.1. Europe AI in Retail Market Analysis, 2016-2021
  - 5.2. Europe AI in Retail Market Opportunity and Forecast, 2023-2032
  - 5.3. Europe AI in Retail Market Analysis, Opportunity and Forecast, By Component, 2016-2032
    5.3.1. Europe AI in Retail Market Analysis by Component: Introduction
    5.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Component, 2016-2032
    5.3.3. Solution
    5.3.4. Services
  - 5.4. Europe AI in Retail Market Analysis, Opportunity and Forecast, By Technology, 2016-2032
    5.4.1. Europe AI in Retail Market Analysis by Technology: Introduction
    5.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Technology, 2016-2032
    5.4.3. Machine Learning
    5.4.4. Computer Vision
    5.4.5. Natural Language Processing (NLP)
    5.4.6. Other Technologies
  - 5.5. Europe AI in Retail Market Analysis, Opportunity and Forecast, By Application, 2016-2032
    5.5.1. Europe AI in Retail Market Analysis by Application: Introduction
    5.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Application, 2016-2032
    5.5.3. Customer Relationship Management
    5.5.4. Supply Chain and Inventory Management
    5.5.5. In-store Navigation
    5.5.6. Price Optimization
    5.5.7. Payment Services
    5.5.8. Other Applications
- 6. Asia-Pacific AI in Retail Market Analysis, Opportunity and Forecast, 2016-2032
  - 6.1. Asia-Pacific AI in Retail Market Analysis, 2016-2021
  - 6.2. Asia-Pacific AI in Retail Market Opportunity and Forecast, 2023-2032
  - 6.3. Asia-Pacific AI in Retail Market Analysis, Opportunity and Forecast, By Component, 2016-2032
    6.3.1. Asia-Pacific AI in Retail Market Analysis by Component: Introduction
    6.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Component, 2016-2032
    6.3.3. Solution
    6.3.4. Services
  - 6.4. Asia-Pacific AI in Retail Market Analysis, Opportunity and Forecast, By Technology, 2016-2032
    6.4.1. Asia-Pacific AI in Retail Market Analysis by Technology: Introduction
    6.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Technology, 2016-2032
    6.4.3. Machine Learning
    6.4.4. Computer Vision
    6.4.5. Natural Language Processing (NLP)
    6.4.6. Other Technologies
  - 6.5. Asia-Pacific AI in Retail Market Analysis, Opportunity and Forecast, By Application, 2016-2032
    6.5.1. Asia-Pacific AI in Retail Market Analysis by Application: Introduction
    6.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Application, 2016-2032
    6.5.3. Customer Relationship Management
    6.5.4. Supply Chain and Inventory Management
    6.5.5. In-store Navigation
    6.5.6. Price Optimization
    6.5.7. Payment Services
    6.5.8. Other Applications
- 7. South America AI in Retail Market Analysis, Opportunity and Forecast, 2016-2032
  - 7.1. South America AI in Retail Market Analysis, 2016-2021
  - 7.2. South America AI in Retail Market Opportunity and Forecast, 2023-2032
  - 7.3. South America AI in Retail Market Analysis, Opportunity and Forecast, By Component, 2016-2032
    7.3.1. South America AI in Retail Market Analysis by Component: Introduction
    7.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Component, 2016-2032
    7.3.3. Solution
    7.3.4. Services
  - 7.4. South America AI in Retail Market Analysis, Opportunity and Forecast, By Technology, 2016-2032
    7.4.1. South America AI in Retail Market Analysis by Technology: Introduction
    7.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Technology, 2016-2032
    7.4.3. Machine Learning
    7.4.4. Computer Vision
    7.4.5. Natural Language Processing (NLP)
    7.4.6. Other Technologies
  - 7.5. South America AI in Retail Market Analysis, Opportunity and Forecast, By Application, 2016-2032
    7.5.1. South America AI in Retail Market Analysis by Application: Introduction
    7.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Application, 2016-2032
    7.5.3. Customer Relationship Management
    7.5.4. Supply Chain and Inventory Management
    7.5.5. In-store Navigation
    7.5.6. Price Optimization
    7.5.7. Payment Services
    7.5.8. Other Applications
- 8. Middle East and Africa AI in Retail Market Analysis, Opportunity and Forecast, 2016-2032
  - 8.1. Middle East and Africa AI in Retail Market Analysis, 2016-2021
  - 8.2. Middle East and Africa AI in Retail Market Opportunity and Forecast, 2023-2032
  - 8.3. Middle East and Africa AI in Retail Market Analysis, Opportunity and Forecast, By Component, 2016-2032
    8.3.1. Middle East and Africa AI in Retail Market Analysis by Component: Introduction
    8.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Component, 2016-2032
    8.3.3. Solution
    8.3.4. Services
  - 8.4. Middle East and Africa AI in Retail Market Analysis, Opportunity and Forecast, By Technology, 2016-2032
    8.4.1. Middle East and Africa AI in Retail Market Analysis by Technology: Introduction
    8.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Technology, 2016-2032
    8.4.3. Machine Learning
    8.4.4. Computer Vision
    8.4.5. Natural Language Processing (NLP)
    8.4.6. Other Technologies
  - 8.5. Middle East and Africa AI in Retail Market Analysis, Opportunity and Forecast, By Application, 2016-2032
    8.5.1. Middle East and Africa AI in Retail Market Analysis by Application: Introduction
    8.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Application, 2016-2032
    8.5.3. Customer Relationship Management
    8.5.4. Supply Chain and Inventory Management
    8.5.5. In-store Navigation
    8.5.6. Price Optimization
    8.5.7. Payment Services
    8.5.8. Other Applications
- 9. Global AI in Retail Market Analysis, Opportunity and Forecast, By Region , 2016-2032
  - 9.1. Global AI in Retail Market Analysis by Region : Introduction
  - 9.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Region , 2016-2032
    9.2.1.North America
    9.2.2.Europe
    9.2.3.Asia-Pacific
    9.2.4.South America
    9.2.5.Middle East and Africa
- 10. Global AI in Retail Market Competitive Landscape, Market Share Analysis, and Company Profiles
  - 10.1. Market Share Analysis
  - 10.2. Company Profiles
  - 10.3. IBM Corporation
    10.3.1. Company Overview
    10.3.2. Financial Highlights
    10.3.3. Product Portfolio
    10.3.4. SWOT Analysis
    10.3.5. Key Strategies and Developments
  - 10.4. Microsoft Corporation
    10.4.1. Company Overview
    10.4.2. Financial Highlights
    10.4.3. Product Portfolio
    10.4.4. SWOT Analysis
    10.4.5. Key Strategies and Developments
  - 10.5. Oracle Corporation
    10.5.1. Company Overview
    10.5.2. Financial Highlights
    10.5.3. Product Portfolio
    10.5.4. SWOT Analysis
    10.5.5. Key Strategies and Developments
  - 10.6. Google LLC
    10.6.1. Company Overview
    10.6.2. Financial Highlights
    10.6.3. Product Portfolio
    10.6.4. SWOT Analysis
    10.6.5. Key Strategies and Developments
  - 10.7. NVIDIA Corporation
    10.7.1. Company Overview
    10.7.2. Financial Highlights
    10.7.3. Product Portfolio
    10.7.4. SWOT Analysis
    10.7.5. Key Strategies and Developments
  - 10.8. Intel Corporation
    10.8.1. Company Overview
    10.8.2. Financial Highlights
    10.8.3. Product Portfolio
    10.8.4. SWOT Analysis
    10.8.5. Key Strategies and Developments
  - 10.9. Amazon Web Services, Inc.
    10.9.1. Company Overview
    10.9.2. Financial Highlights
    10.9.3. Product Portfolio
    10.9.4. SWOT Analysis
    10.9.5. Key Strategies and Developments
  - 10.10. SAP SE
    10.10.1. Company Overview
    10.10.2. Financial Highlights
    10.10.3. Product Portfolio
    10.10.4. SWOT Analysis
    10.10.5. Key Strategies and Developments
  - 10.11. Salesforce, Inc.
    10.11.1. Company Overview
    10.11.2. Financial Highlights
    10.11.3. Product Portfolio
    10.11.4. SWOT Analysis
    10.11.5. Key Strategies and Developments
  - 10.12. RetailNext, Inc.
    10.12.1. Company Overview
    10.12.2. Financial Highlights
    10.12.3. Product Portfolio
    10.12.4. SWOT Analysis
    10.12.5. Key Strategies and Developments
  - 10.13. Accenture plc
    10.13.1. Company Overview
    10.13.2. Financial Highlights
    10.13.3. Product Portfolio
    10.13.4. SWOT Analysis
    10.13.5. Key Strategies and Developments
  - 10.14. Other Key Players
    10.14.1. Company Overview
    10.14.2. Financial Highlights
    10.14.3. Product Portfolio
    10.14.4. SWOT Analysis
    10.14.5. Key Strategies and Developments
- 11. Assumptions and Acronyms
- 12. Research Methodology
- 13. Contact
- IBM Corporation
- Microsoft Corporation Company Profile
- Oracle Corporation
- Google LLC
- NVIDIA Corporation
- Intel Corporation
- Amazon Web Services, Inc.
- SAP SE Company Profile
- Salesforce, Inc.
- RetailNext, Inc.
- Accenture plc Company Profile
- Other Key Players
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