Global AI in E commerce Industry

2023-2029 Global AI in E-commerce Industry Research & Trends Analysis Report

Global AI in E commerce Industry

2023-2029 Global AI in E-commerce Industry Research & Trends Analysis Report


Analysis of the Market reveals emerging trends, consumer adoption rates, and competitive strategies among leading manufacturers worldwide.

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According to Latest Study , the global market for AI in E-commerce should grow from US$ million in 2023 to US$ million by 2030, with a CAGR of % for the period of 2024-2030.

China AI in E-commerce market should grow from US$ million in 2023 to US$ million by 2030, with a CAGR of % for the period of 2024-2030.

The United States AI in E-commerce market should grow from US$ million in 2023 to US$ million by 2030, with a CAGR of % for the period of 2024-2030.

In terms of type, Local segment holds a share about % in 2023 and will reach % in 2030; while in terms of application, Chatbot has a share approximately % in 2023 and will grow at a CAGR % during 2023 and 2030.

The global key manufacturers of AI in E-commerce include Alibaba, Amazon, Amplero, BigCommerce, Cedcommerce, Clarifa, Google, HCL Technologies and IBM, etc. In 2023, the global top five players hold a share approximately % in terms of revenue.

This report aims to provide a comprehensive study of the global market for AI in E-commerce. Report Highlights:

(1) Global AI in E-commerce market size (value), history data from 2019-2024 and forecast data from 2024 to 2030.

(2) Global AI in E-commerce market competitive situation, revenue and market share, from 2019 to 2024.

(3) China AI in E-commerce market competitive situation, revenue and market share, from 2019 to 2024.

(4) Global AI in E-commerce segment by region (or country), key regions cover the United States, Europe, Japan, South Korea, Southeast Asia and India, etc.

(5) Global AI in E-commerce segment by type and by application and regional segment by type and by application.

(6) AI in E-commerce industry supply chain, upstream, midstream and downstream analysis.

Market segment by regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia, Italy and Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)

South America (Brazil, Rest of South America)

Middle East & Africa

Market segment by type, covers

Local

Cloud-based

Market segment by application, can be divided into

Chatbot

After Sales Support

Anti-counterfeiting

E-commerce Marketing

Other

Market segment by players, this report covers

Alibaba

Amazon

Amplero

BigCommerce

Cedcommerce

Clarifa

Google

HCL Technologies

IBM

Microsoft

Persado

Shelf

Tagalys

1 Market Overview

1.1 Product Overview and Scope of AI in E-commerce

1.2 Global AI in E-commerce Market Size and Forecast

1.3 China AI in E-commerce Market Size and Forecast

1.4 China Market Percentage in Global

1.4.1 By Revenue, China AI in E-commerce Share in Global Market, 2019-2030

1.4.2 AI in E-commerce Market Size: China VS Global, 2019-2030

1.5 AI in E-commerce Market Dynamics

1.5.1 AI in E-commerce Market Drivers

1.5.2 AI in E-commerce Market Restraints

1.5.3 AI in E-commerce Industry Trends

1.5.4 AI in E-commerce Industry Policy

2 Global Competitive Situation by Company

2.1 Global AI in E-commerce Revenue by Company (2019-2024)

2.2 Global AI in E-commerce Participants, Market Position (Tier 1, Tier 2 and Tier 3)

2.3 Global AI in E-commerce Concentration Ratio

2.4 Global AI in E-commerce Mergers & Acquisitions, Expansion Plans

2.5 Global AI in E-commerce Manufacturers Product Type

3 China Competitive Situation by Company

3.1 China AI in E-commerce Revenue by Company (2019-2024)

3.2 China AI in E-commerce AI in E-commerce Participants, Market Position (Tier 1, Tier 2 and Tier 3)

3.3 China AI in E-commerce, Revenue Percentage of Local Players VS Foreign Manufacturers (2019-2024)

4 Industry Chain Analysis

4.1 AI in E-commerce Industry Chain

4.2 AI in E-commerce Upstream Analysis

4.3 AI in E-commerce Midstream Analysis

4.4 AI in E-commerce Downstream Analysis

5 Sights by Type

5.1 AI in E-commerce Classification

5.1.1 Local

5.1.2 Cloud-based

5.2 By Type, Global AI in E-commerce Market Size & CAGR, 2019 VS 2023 VS 2030

5.3 By Type, Global AI in E-commerce Revenue, 2019-2030

6 Sights by Application

6.1 AI in E-commerce Segment by Application

6.1.1 Chatbot

6.1.2 After Sales Support

6.1.3 Anti-counterfeiting

6.1.4 E-commerce Marketing

6.1.5 Other

6.2 By Application, Global AI in E-commerce Market Size & CAGR, 2019 VS 2023 VS 2030

6.3 By Application, Global AI in E-commerce Revenue, 2019-2030

7 Sales Sights by Region

7.1 By Region, Global AI in E-commerce Market Size, 2019 VS 2023 VS 2030

7.2 By Region, Global AI in E-commerce Market Size, 2019-2030

7.3 North America

7.3.1 North America AI in E-commerce Market Size & Forecasts, 2019-2030

7.3.2 By Country, North America AI in E-commerce Market Size Market Share

7.4 Europe

7.4.1 Europe AI in E-commerce Market Size & Forecasts, 2019-2030

7.4.2 By Country, Europe AI in E-commerce Market Size Market Share

7.5 Asia Pacific

7.5.1 Asia Pacific AI in E-commerce Market Size & Forecasts, 2019-2030

7.5.2 By Country/Region, Asia Pacific AI in E-commerce Market Size Market Share

7.6 South America

7.6.1 South America AI in E-commerce Market Size & Forecasts, 2019-2030

7.6.2 By Country, South America AI in E-commerce Market Size Market Share

7.7 Middle East & Africa

8 Sights by Country Level

8.1 By Country, Global AI in E-commerce Market Size & CAGR，2019 VS 2023 VS 2030

8.2 By Country, Global AI in E-commerce Market Size, 2019-2030

8.3 U.S.

8.3.1 U.S. AI in E-commerce Market Size, 2019-2030

8.3.2 By Company, U.S. AI in E-commerce Revenue Market Share, 2019-2024

8.3.3 By Type, U.S. AI in E-commerce Revenue Market Share, 2023 VS 2030

8.3.4 By Application, U.S. AI in E-commerce Revenue Market Share, 2023 VS 2030

8.4 Europe

8.4.1 Europe AI in E-commerce Market Size, 2019-2030

8.4.2 By Company, Europe AI in E-commerce Revenue Market Share, 2019-2024

8.4.3 By Type, Europe AI in E-commerce Revenue Market Share, 2023 VS 2030

8.4.4 By Application, Europe AI in E-commerce Revenue Market Share, 2023 VS 2030

8.5 China

8.5.1 China AI in E-commerce Market Size, 2019-2030

8.5.2 By Company, China AI in E-commerce Revenue Market Share, 2019-2024

8.5.3 By Type, China AI in E-commerce Revenue Market Share, 2023 VS 2030

8.5.4 By Application, China AI in E-commerce Revenue Market Share, 2023 VS 2030

8.6 Japan

8.6.1 Japan AI in E-commerce Market Size, 2019-2030

8.6.2 By Company, Japan AI in E-commerce Revenue Market Share, 2019-2024

8.6.3 By Type, Japan AI in E-commerce Revenue Market Share, 2023 VS 2030

8.6.4 By Application, Japan AI in E-commerce Revenue Market Share, 2023 VS 2030

8.7 South Korea

8.7.1 South Korea AI in E-commerce Market Size, 2019-2030

8.7.2 By Company, South Korea AI in E-commerce Revenue Market Share, 2019-2024

8.7.3 By Type, South Korea AI in E-commerce Revenue Market Share, 2023 VS 2030

8.7.4 By Application, South Korea AI in E-commerce Revenue Market Share, 2023 VS 2030

8.8 Southeast Asia

8.8.1 Southeast Asia AI in E-commerce Market Size, 2019-2030

8.8.2 By Company, Southeast Asia AI in E-commerce Revenue Market Share, 2019-2024

8.8.3 By Type, Southeast Asia AI in E-commerce Revenue Market Share, 2023 VS 2030

8.8.4 By Application, Southeast Asia AI in E-commerce Revenue Market Share, 2023 VS 2030

8.9 India

8.9.1 India AI in E-commerce Market Size, 2019-2030

8.9.2 By Company, India AI in E-commerce Revenue Market Share, 2019-2024

8.9.3 By Type, India AI in E-commerce Revenue Market Share, 2023 VS 2030

8.9.4 By Application, India AI in E-commerce Revenue Market Share, 2023 VS 2030

8.10 Middle East & Asia

8.10.1 Middle East & Asia AI in E-commerce Market Size, 2019-2030

8.10.2 By Company, Middle East & Asia AI in E-commerce Revenue Market Share, 2019-2024

8.10.3 By Type, Middle East & Asia AI in E-commerce Revenue Market Share, 2023 VS 2030

8.10.4 By Application, Middle East & Asia AI in E-commerce Revenue Market Share, 2023 VS 2030

9 Global Manufacturers Profile

9.1 Alibaba

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

9.1.2 Alibaba Company Profile and Main Business

9.1.3 Alibaba AI in E-commerce Models, Specifications and Application

9.1.4 Alibaba AI in E-commerce Revenue and Gross Margin, 2019-2024

9.1.5 Alibaba Recent Developments

9.2 Amazon

9.2.1 Amazon Company Information, Head Office, Market Area and Industry Position

9.2.2 Amazon Company Profile and Main Business

9.2.3 Amazon AI in E-commerce Models, Specifications and Application

9.2.4 Amazon AI in E-commerce Revenue and Gross Margin, 2019-2024

9.2.5 Amazon Recent Developments

9.3 Amplero

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

9.3.2 Amplero Company Profile and Main Business

9.3.3 Amplero AI in E-commerce Models, Specifications and Application

9.3.4 Amplero AI in E-commerce Revenue and Gross Margin, 2019-2024

9.3.5 Amplero Recent Developments

9.4 BigCommerce

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

9.4.2 BigCommerce Company Profile and Main Business

9.4.3 BigCommerce AI in E-commerce Models, Specifications and Application

9.4.4 BigCommerce AI in E-commerce Revenue and Gross Margin, 2019-2024

9.4.5 BigCommerce Recent Developments

9.5 Cedcommerce

9.5.1 Cedcommerce Company Information, Head Office, Market Area and Industry Position

9.5.2 Cedcommerce Company Profile and Main Business

9.5.3 Cedcommerce AI in E-commerce Models, Specifications and Application

9.5.4 Cedcommerce AI in E-commerce Revenue and Gross Margin, 2019-2024

9.5.5 Cedcommerce Recent Developments

9.6 Clarifa

9.6.1 Clarifa Company Information, Head Office, Market Area and Industry Position

9.6.2 Clarifa Company Profile and Main Business

9.6.3 Clarifa AI in E-commerce Models, Specifications and Application

9.6.4 Clarifa AI in E-commerce Revenue and Gross Margin, 2019-2024

9.6.5 Clarifa Recent Developments

9.7 Google

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

9.7.2 Google Company Profile and Main Business

9.7.3 Google AI in E-commerce Models, Specifications and Application

9.7.4 Google AI in E-commerce Revenue and Gross Margin, 2019-2024

9.7.5 Google Recent Developments

9.8 HCL Technologies

9.8.1 HCL Technologies Company Information, Head Office, Market Area and Industry Position

9.8.2 HCL Technologies Company Profile and Main Business

9.8.3 HCL Technologies AI in E-commerce Models, Specifications and Application

9.8.4 HCL Technologies AI in E-commerce Revenue and Gross Margin, 2019-2024

9.8.5 HCL Technologies Recent Developments

9.9 IBM

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

9.9.2 IBM Company Profile and Main Business

9.9.3 IBM AI in E-commerce Models, Specifications and Application

9.9.4 IBM AI in E-commerce Revenue and Gross Margin, 2019-2024

9.9.5 IBM Recent Developments

9.10 Microsoft

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

9.10.2 Microsoft Company Profile and Main Business

9.10.3 Microsoft AI in E-commerce Models, Specifications and Application

9.10.4 Microsoft AI in E-commerce Revenue and Gross Margin, 2019-2024

9.10.5 Microsoft Recent Developments

9.11 Persado

9.11.1 Persado Company Information, Head Office, Market Area and Industry Position

9.11.2 Persado Company Profile and Main Business

9.11.3 Persado AI in E-commerce Models, Specifications and Application

9.11.4 Persado AI in E-commerce Revenue and Gross Margin, 2019-2024

9.11.5 Persado Recent Developments

9.12 Shelf

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

9.12.2 Shelf Company Profile and Main Business

9.12.3 Shelf AI in E-commerce Models, Specifications and Application

9.12.4 Shelf AI in E-commerce Revenue and Gross Margin, 2019-2024

9.12.5 Shelf Recent Developments

9.13 Tagalys

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

9.13.2 Tagalys Company Profile and Main Business

9.13.3 Tagalys AI in E-commerce Models, Specifications and Application

9.13.4 Tagalys AI in E-commerce Revenue and Gross Margin, 2019-2024

9.13.5 Tagalys 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.
Global AI in E commerce 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
  • Market Intellix 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
  • Market Intellix 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):
How are players chosen for the research coverage of the Global AI in E commerce Market study?
MI used a variety of industry standards such as NAICS, ICB, TRIC, and others to identify functional players in the industry, which they then shortlist and validate in an iterative process to finalize the most relevant players.
How big is the Global AI in E commerce Market by 2030?
It is expected that the Global AI in E commerce Market will reach USD XX million by 2030.
In the current situation, what value does the Global AI in E commerce Market have?
The value of the Global AI in E commerce Market is estimated to be USD XXX million.
What is the estimated global market value of the Global AI in E commerce Market?
The Global AI in E commerce Market is expected to reach a considerable market valuation.