Artificial Intelligence for Retail Global and China Top Players Market

Artificial Intelligence for Retail - Global and China Top Players Market Share and Ranking 2023

Artificial Intelligence for Retail Global and China Top Players Market

Artificial Intelligence for Retail - Global and China Top Players Market Share and Ranking 2023


Get latest Market Research Reports on Artificial Intelligence for Retail . Industry analysis and Market Report on Artificial Intelligence for Retail is a syndicated market report, published as Global Artificial Intelligence for Retail Market Research Report 2024. It is complete Research Study and Industry Analysis of Artificial Intelligence for Retail market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market

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Ample Market Research presents an in-depth analysis of the Artificial Intelligence for Retail Market, offering valuable insights into current industry trends, future growth prospects, and strategic market dynamics. This report provides a detailed evaluation of key market drivers, restraints, emerging trends, and regional influences shaping the industry's evolution.

By leveraging historical analysis and forecast projections, this study offers a holistic understanding of market developments, assisting stakeholders in making informed strategic decisions. Additionally, a SWOT analysis is incorporated to highlight strengths, weaknesses, opportunities, and threats within the sector.

The evolving U.S. tariff policy in 2025 is bringing considerable uncertainty into the global economic landscape. This report delves into the latest U.S. tariff measures and the corresponding policy responses across the world, assessing their impacts on Artificial Intelligence for Retail market competitiveness, regional economic interdependencies, and supply chain reconfigurations.

Artificial Intelligence for Retail Market Segmentation
Market segmentation in research is the process of breaking down a broad market into distinct consumer groups based on shared characteristics, such as demographics, geographic location, behavioral patterns, or lifestyle preferences. This approach enables businesses to refine their product offerings and marketing strategies to better address the unique needs of each segment. By tailoring their approach, companies can optimize resource allocation, enhance customer satisfaction, and drive sales growth, ultimately securing a competitive advantage. Effective segmentation helps businesses gain deeper insights into their audience, craft targeted strategies, and maximize overall market performance.

Artificial Intelligence for Retail Market by Type [Analysis by Value from 2020 to ]:
  • AI-Powered Chatbots
  • Personalized Recommendations
  • Inventory Optimization
  • Fraud Detection


Artificial Intelligence for Retail Market by Application [Analysis by Value from 2020 to ]:
  • E-Commerce
  • Brick & Mortar Stores
  • Logistics
  • Customer Service


Key Players in the Artificial Intelligence for Retail Market
Leading market players are focused on strengthening their presence by acquiring emerging companies. Established firms are heavily investing in research and development to introduce innovative products and expand their market reach. Additionally, some companies are engaging in mergers to leverage their combined strengths and deliver high-quality products. Based on these factors, the study includes the following key industry players.
  • IBM
  • Amazon Web Services
  • Microsoft
  • Google
  • Salesforce
  • Oracle


Artificial Intelligence for Retail Market Dynamics: Drivers & Restraints
The report meticulously examines the core growth factors and challenges influencing market expansion. Each variable is supported by qualitative and quantitative insights, with Harvey ball indicators representing their level of impact.

Artificial Intelligence for Retail Market Analysis & Industry Trends
A comprehensive overview of industry developments, regulatory updates, and structural market shifts is provided. The report also evaluates the impact of U.S. tariff policy on global demand fluctuations and recovery patterns.

Artificial Intelligence for Retail Market Size & Demand Forecast ()
Precise market sizing data and demand forecasts are included, covering year-on-year (YoY) growth rates and compound annual growth rate (CAGR) projections, enabling businesses to plan for future growth.

Artificial Intelligence for Retail Industry Supply Chain & Competitive Analysis
Using Porter’s Five Forces framework, the report assesses competitive intensity and profitability within the industry. A detailed supply chain analysis examines market participants, operational structures, and efficiency factors.

Artificial Intelligence for Retail Segmentation & Growth Forecasts
The study systematically breaks down the Global Artificial Intelligence for Retail Market into multiple segments, outlining current conditions and future growth trajectories. This helps identify emerging trends and lucrative opportunities.

Regional Market Insights
The report offers country-wise assessments of market drivers, regulatory frameworks, and growth prospects across key regions:
• North America (United States, Canada, Mexico)
• Europe (Germany, France, United Kingdom, Russia)
• Asia-Pacific (China, India, Japan, South Korea, Australia)
• Rest of the World (Saudi Arabia, Brazil, Nigeria, South Africa)

Competitive Landscape & Key Player Profiles

Detailed evaluations of major companies include:
• Business overview & product offerings
• Financial performance & investment trends
• Recent mergers, acquisitions, and joint ventures (JVs)
• Strategic approaches adopted by market leaders

Executive Summary & Actionable Recommendations
A concise summary featuring charts, infographics, and forward-looking forecasts is provided. The report concludes with strategic recommendations to guide market stakeholders in decision-making.

Why Invest in This Artificial Intelligence for Retail Market Report?
✔️ Gain valuable insights into how COVID-19 has influenced the Artificial Intelligence for Retail market.
✔️ Discover market opportunities across key global regions.
✔️ Evaluate growth drivers & restraints and their long-term impact.
✔️ Access comprehensive market sizing & forecasting data.
✔️ Stay ahead of industry trends & competitive strategies.
✔️ Monitor M&A activities, partnerships, and joint ventures shaping the market.

For expert insights and customized segmentation, contact us to tailor the report to your specific business needs.

1 Market Overview

1.1 Artificial Intelligence for Retail Definition

1.2 Global Artificial Intelligence for Retail Market Size and Forecast

1.3 China Artificial Intelligence for Retail Market Size and Forecast

1.4 China Percentage in Global Market

1.5 Artificial Intelligence for Retail Market Size: China VS Global Growth Rate, 2019-2030

1.6 Artificial Intelligence for Retail Market Dynamics

1.6.1 Artificial Intelligence for Retail Market Drivers

1.6.2 Artificial Intelligence for Retail Market Restraints

1.6.3 Artificial Intelligence for Retail Industry Trends

1.6.4 Artificial Intelligence for Retail Industry Policy

2 Global Leading Players and Market Share

2.1 By Revenue of Artificial Intelligence for Retail, Global Market Share by Company, 2019-2024

2.2 Global Artificial Intelligence for Retail Participants, Market Position (Tier 1, Tier 2, and Tier 3)

2.3 Global Artificial Intelligence for Retail Concentration Ratio

2.4 Global Artificial Intelligence for Retail Mergers & Acquisitions, Expansion Plans

2.5 Global Artificial Intelligence for Retail Major Companies Product Type

2.6 Head Office and Artificial Intelligence for Retail Production Site of Key Manufacturer

3 China Leading Players, Market Share and Ranking

3.1 By Revenue of Artificial Intelligence for Retail, China Market Share by Company, 2019-2024

3.2 China Artificial Intelligence for Retail Participants, Market Position (Tier 1, Tier 2, and Tier 3)

4 Industry Chain Analysis

4.1 Artificial Intelligence for Retail Industry Chain

4.2 Artificial Intelligence for Retail Upstream Analysis

4.2.1 Artificial Intelligence for Retail Core Raw Materials

4.2.2 Main Manufacturers of Artificial Intelligence for Retail Core Raw Materials

4.3 Midstream Analysis

4.4 Downstream Analysis

4.5 Artificial Intelligence for Retail Production Mode

4.6 Artificial Intelligence for Retail Procurement Model

4.7 Artificial Intelligence for Retail Industry Sales Model and Sales Channels

4.7.1 Artificial Intelligence for Retail Sales Model

4.7.2 Artificial Intelligence for Retail Typical Distributors

5 Sights by Type

5.1 Artificial Intelligence for Retail Classification

5.1.1 Cloud-based

5.1.2 On-Premises

5.2 By Type, Global Artificial Intelligence for Retail Consumption Value & CAGR, 2019 VS 2024 VS 2030

5.3 By Type, Global Artificial Intelligence for Retail Consumption Value, 2019-2030

6 Sights by Application

6.1 Artificial Intelligence for Retail Segment by Application

6.1.1 SMEs

6.1.2 Large Enterprise

6.2 By Application, Global Artificial Intelligence for Retail Consumption Value & CAGR, 2019 VS 2024 VS 2030

6.3 By Application, Global Artificial Intelligence for Retail Consumption Value, 2019-2030

7 Sales Sights by Region

7.1 By Region, Global Artificial Intelligence for Retail Consumption Value, 2019 VS 2024 VS 2030

7.2 By Region, Global Artificial Intelligence for Retail Consumption Value, 2019-2030

7.3 North America

7.3.1 North America Artificial Intelligence for Retail & Forecasts, 2019-2030

7.3.2 By Country, North America Artificial Intelligence for Retail Market Size Market Share

7.4 Europe

7.4.1 Europe Artificial Intelligence for Retail Market Size & Forecasts, 2019-2030

7.4.2 By Country, Europe Artificial Intelligence for Retail Market Size Market Share

7.5 Asia Pacific

7.5.1 Asia Pacific Artificial Intelligence for Retail Market Size & Forecasts, 2019-2030

7.5.2 By Country/Region, Asia Pacific Artificial Intelligence for Retail Market Size Market Share

7.6 South America

7.6.1 South America Artificial Intelligence for Retail Market Size & Forecasts, 2019-2030

7.6.2 By Country, South America Artificial Intelligence for Retail Market Size Market Share

7.7 Middle East & Africa

8 Sales Sights by Country Level

8.1 By Country, Global Artificial Intelligence for Retail Market Size & CAGR, 2019 VS 2024 VS 2030

8.2 By Country, Global Artificial Intelligence for Retail Consumption Value, 2019-2030

8.3 U.S.

8.3.1 U.S. Artificial Intelligence for Retail Market Size, 2019-2030

8.3.2 By Type, U.S. Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.3.3 By Application, U.S. Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.4 Europe

8.4.1 Europe Artificial Intelligence for Retail Market Size, 2019-2030

8.4.2 By Type, Europe Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.4.3 By Application, Europe Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.5 China

8.5.1 China Artificial Intelligence for Retail Market Size, 2019-2030

8.5.2 By Type, China Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.5.3 By Application, China Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.6 Japan

8.6.1 Japan Artificial Intelligence for Retail Market Size, 2019-2030

8.6.2 By Type, Japan Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.6.3 By Application, Japan Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.7 South Korea

8.7.1 South Korea Artificial Intelligence for Retail Market Size, 2019-2030

8.7.2 By Type, South Korea Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.7.3 By Application, South Korea Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.8 Southeast Asia

8.8.1 Southeast Asia Artificial Intelligence for Retail Market Size, 2019-2030

8.8.2 By Type, Southeast Asia Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.8.3 By Application, Southeast Asia Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.9 India

8.9.1 India Artificial Intelligence for Retail Market Size, 2019-2030

8.9.2 By Type, India Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.9.3 By Application, India Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.10 Middle East & Africa

8.10.1 Middle East & Africa Artificial Intelligence for Retail Market Size, 2019-2030

8.10.2 By Type, Middle East & Africa Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.10.3 By Application, Middle East & Africa Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

9 Company Profile

9.1 Intel

9.1.1 Intel Company Information, Head Office, Market Area and Industry Position

9.1.2 Intel Company Profile and Main Business

9.1.3 Intel Artificial Intelligence for Retail Models, Specifications and Application

9.1.4 Intel Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.1.5 Intel Recent Developments

9.2 Hitachi Solutions

9.2.1 Hitachi Solutions Company Information, Head Office, Market Area and Industry Position

9.2.2 Hitachi Solutions Company Profile and Main Business

9.2.3 Hitachi Solutions Artificial Intelligence for Retail Models, Specifications and Application

9.2.4 Hitachi Solutions Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.2.5 Hitachi Solutions Recent Developments

9.3 Accenture

9.3.1 Accenture Company Information, Head Office, Market Area and Industry Position

9.3.2 Accenture Company Profile and Main Business

9.3.3 Accenture Artificial Intelligence for Retail Models, Specifications and Application

9.3.4 Accenture Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.3.5 Accenture Recent Developments

9.4 DataRobot

9.4.1 DataRobot Company Information, Head Office, Market Area and Industry Position

9.4.2 DataRobot Company Profile and Main Business

9.4.3 DataRobot Artificial Intelligence for Retail Models, Specifications and Application

9.4.4 DataRobot Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.4.5 DataRobot Recent Developments

9.5 Alibaba Cloud

9.5.1 Alibaba Cloud Company Information, Head Office, Market Area and Industry Position

9.5.2 Alibaba Cloud Company Profile and Main Business

9.5.3 Alibaba Cloud Artificial Intelligence for Retail Models, Specifications and Application

9.5.4 Alibaba Cloud Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.5.5 Alibaba Cloud Recent Developments

9.6 Microsoft AI

9.6.1 Microsoft AI Company Information, Head Office, Market Area and Industry Position

9.6.2 Microsoft AI Company Profile and Main Business

9.6.3 Microsoft AI Artificial Intelligence for Retail Models, Specifications and Application

9.6.4 Microsoft AI Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.6.5 Microsoft AI Recent Developments

9.7 Fujitsu

9.7.1 Fujitsu Company Information, Head Office, Market Area and Industry Position

9.7.2 Fujitsu Company Profile and Main Business

9.7.3 Fujitsu Artificial Intelligence for Retail Models, Specifications and Application

9.7.4 Fujitsu Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.7.5 Fujitsu Recent Developments

9.8 AWS

9.8.1 AWS Company Information, Head Office, Market Area and Industry Position

9.8.2 AWS Company Profile and Main Business

9.8.3 AWS Artificial Intelligence for Retail Models, Specifications and Application

9.8.4 AWS Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.8.5 AWS Recent Developments

9.9 Huawei

9.9.1 Huawei Company Information, Head Office, Market Area and Industry Position

9.9.2 Huawei Company Profile and Main Business

9.9.3 Huawei Artificial Intelligence for Retail Models, Specifications and Application

9.9.4 Huawei Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.9.5 Huawei Recent Developments

9.10 Oracle

9.10.1 Oracle Company Information, Head Office, Market Area and Industry Position

9.10.2 Oracle Company Profile and Main Business

9.10.3 Oracle Artificial Intelligence for Retail Models, Specifications and Application

9.10.4 Oracle Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.10.5 Oracle Recent Developments

9.11 Google Cloud

9.11.1 Google Cloud Company Information, Head Office, Market Area and Industry Position

9.11.2 Google Cloud Company Profile and Main Business

9.11.3 Google Cloud Artificial Intelligence for Retail Models, Specifications and Application

9.11.4 Google Cloud Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.11.5 Google Cloud Recent Developments

9.12 Haystream

9.12.1 Haystream Company Information, Head Office, Market Area and Industry Position

9.12.2 Haystream Company Profile and Main Business

9.12.3 Haystream Artificial Intelligence for Retail Models, Specifications and Application

9.12.4 Haystream Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.12.5 Haystream Recent Developments

9.13 Habana

9.13.1 Habana Company Information, Head Office, Market Area and Industry Position

9.13.2 Habana Company Profile and Main Business

9.13.3 Habana Artificial Intelligence for Retail Models, Specifications and Application

9.13.4 Habana Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.13.5 Habana Recent Developments

9.14 IBM

9.14.1 IBM Company Information, Head Office, Market Area and Industry Position

9.14.2 IBM Company Profile and Main Business

9.14.3 IBM Artificial Intelligence for Retail Models, Specifications and Application

9.14.4 IBM Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.14.5 IBM Recent Developments

9.15 SymphonyAI

9.15.1 SymphonyAI Company Information, Head Office, Market Area and Industry Position

9.15.2 SymphonyAI Company Profile and Main Business

9.15.3 SymphonyAI Artificial Intelligence for Retail Models, Specifications and Application

9.15.4 SymphonyAI Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.15.5 SymphonyAI Recent Developments

9.16 NVIDIA

9.16.1 NVIDIA Company Information, Head Office, Market Area and Industry Position

9.16.2 NVIDIA Company Profile and Main Business

9.16.3 NVIDIA Artificial Intelligence for Retail Models, Specifications and Application

9.16.4 NVIDIA Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.16.5 NVIDIA Recent Developments

9.17 SAP Industry

9.17.1 SAP Industry Company Information, Head Office, Market Area and Industry Position

9.17.2 SAP Industry Company Profile and Main Business

9.17.3 SAP Industry Artificial Intelligence for Retail Models, Specifications and Application

9.17.4 SAP Industry Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.17.5 SAP Industry Recent Developments

9.18 Salesforce Inc.

9.18.1 Salesforce Inc. Company Information, Head Office, Market Area and Industry Position

9.18.2 Salesforce Inc. Company Profile and Main Business

9.18.3 Salesforce Inc. Artificial Intelligence for Retail Models, Specifications and Application

9.18.4 Salesforce Inc. Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.18.5 Salesforce Inc. Recent Developments

10 Conclusion

11 Appendix

11.1 Research Methodology

11.2 Data Source

11.2.1 Secondary Sources

11.2.2 Primary Sources

11.3 Market Estimation Model

11.4 Disclaimer

Tables & Figures:
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Research Methodology:
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.
Artificial Intelligence for Retail Market Size Estimation

To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.

Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.

Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.

We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.

Data Source

Secondary Sources

This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.

These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.

Market Size
  • Segmental value
  • Geographic Penetration
  • Product Adoption Rate for Different market
  • Journals, Websites, and Press Releases
  • Annual Reports and SEC Filings
  • Company Websites and Press Releases
  • Public and Paid Databases
  • Ample Market Reports Data Repository
Market Position of Top Company
  • Product Financials
  • Geographic value Mix
  • Total Company value
  • Business/Segmental value Mix
Qualitative Analysis
  • Influence Factors
  • Market Potential
  • Market Risks and Opportunities
  • Industry Trends
  • Geographical Features
  • Government Policies
  • Company Websites and Press Releases
  • Public and Paid Databases
  • Annual Reports
  • Industry Associations
  • Ample Market Reports Data Repository

Primary Sources

As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.

On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.

These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.

Key Data Information from Primary Sources

Primary Sources Parameters Key Data
Market Segments(by Application, by Type)
  • Value by Type
  • Status and Forecast
  • Value by Application
  • Value by Regions, Status and Forecast (2025-2031)
  • Value Market Share by Type
  • Value Growth Rate by Type
  • Value by Application
  • Percentage and Growth Rate by Application
  • Value Growth Rate and Market Share by Regions
  • Market Size Status and Forecast (2025-2031)
Total Market
  • Overall Size, Status and Forecast
  • Market Size Status and Forecast (2025-2031)
Frequently asked questions(FAQ's):
Why is the Artificial Intelligence for Retail Market trending toward high growth trajectories?
A dynamic process in the Artificial Intelligence for Retail Market is initiated by new entrants, including competitors from unrelated industries, in addition to the established players like IBM, Amazon Web Services, Microsoft, Google, Salesforce, Oracle.
What is the Artificial Intelligence for Retail Market really preparing for?
Companies in the Artificial Intelligence for Retail Industry will need to adapt swiftly to the behavioral changes that are reshaping consumer decision journeys.
What are the major applications for Artificial Intelligence for Retail ?
Artificial Intelligence for Retail has a wide range of applications, including and others.
What is the current state of the Artificial Intelligence for Retail Industry, and what is the projected growth trajectory through 2030?
In 2024, the Artificial Intelligence for Retail Market share surpassed USD xx million, and between 2025 and 2030, it will grow at a CAGR of yy%.
What is Artificial Intelligence for Retail Market Concentration Rate?
In addition to the Artificial Intelligence for Retail Market share analysis by competitors, the report also includes chapters on the HHI Index, CR4, and CR8 to characterize the concentration rate and competitive character of the Artificial Intelligence for Retail Market.
What does the future hold for the Artificial Intelligence for Retail Industry?
This latest research publication on the Artificial Intelligence for Retail Market is an in-depth market tracker that provides a comprehensive assessment of the challenges that manufacturers face in achieving new growth cycles in the current scenario.