Artificial Intelligence in E-commerce - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511244279

Publication Date:

November 26, 2024

Pages:

123

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Artificial Intelligence in E-commerce was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate 鈧�9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.6%, including software, hardware and services.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached 楼508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/20 of that of the United States.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in E-commerce, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence in E-commerce by region & country, by Type, and by Application.
The Artificial Intelligence in E-commerce market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence in E-commerce.
Market Segmentation
By Company
Amazon
Alibaba Group
IBM
Google
Salesforce
Adobe
Shopify
Oracle
SAP
BigCommerce
Dynamic Yield
Reflektion
Nosto
Emarsys
RichRelevance
Segment by Type:
Hardware
Software
Service
Segment by Application
Buyer-oriented E-commerce
Supplier-oriented E-commerce
Intermediary-oriented E-commerce
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Artificial Intelligence in E-commerce manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Artificial Intelligence in E-commerce in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Artificial Intelligence in E-commerce in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents:

1 Market Overview
1.1 Artificial Intelligence in E-commerce Product Introduction
1.2 Global Artificial Intelligence in E-commerce Market Size Forecast
1.3 Artificial Intelligence in E-commerce Market Trends & Drivers
1.3.1 Artificial Intelligence in E-commerce Industry Trends
1.3.2 Artificial Intelligence in E-commerce Market Drivers & Opportunity
1.3.3 Artificial Intelligence in E-commerce Market Challenges
1.3.4 Artificial Intelligence in E-commerce Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence in E-commerce Players Revenue Ranking (2023)
2.2 Global Artificial Intelligence in E-commerce Revenue by Company (2019-2024)
2.3 Key Companies Artificial Intelligence in E-commerce Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence in E-commerce Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence in E-commerce
2.6 Artificial Intelligence in E-commerce Market Competitive Analysis
2.6.1 Artificial Intelligence in E-commerce Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence in E-commerce Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence in E-commerce as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Hardware
3.1.2 Software
3.1.3 Service
3.2 Global Artificial Intelligence in E-commerce Sales Value by Type
3.2.1 Global Artificial Intelligence in E-commerce Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial Intelligence in E-commerce Sales Value, by Type (2019-2030)
3.2.3 Global Artificial Intelligence in E-commerce Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Buyer-oriented E-commerce
4.1.2 Supplier-oriented E-commerce
4.1.3 Intermediary-oriented E-commerce
4.2 Global Artificial Intelligence in E-commerce Sales Value by Application
4.2.1 Global Artificial Intelligence in E-commerce Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial Intelligence in E-commerce Sales Value, by Application (2019-2030)
4.2.3 Global Artificial Intelligence in E-commerce Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Artificial Intelligence in E-commerce Sales Value by Region
5.1.1 Global Artificial Intelligence in E-commerce Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial Intelligence in E-commerce Sales Value by Region (2019-2024)
5.1.3 Global Artificial Intelligence in E-commerce Sales Value by Region (2025-2030)
5.1.4 Global Artificial Intelligence in E-commerce Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Artificial Intelligence in E-commerce Sales Value, 2019-2030
5.2.2 North America Artificial Intelligence in E-commerce Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Artificial Intelligence in E-commerce Sales Value, 2019-2030
5.3.2 Europe Artificial Intelligence in E-commerce Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence in E-commerce Sales Value, 2019-2030
5.4.2 Asia Pacific Artificial Intelligence in E-commerce Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Artificial Intelligence in E-commerce Sales Value, 2019-2030
5.5.2 South America Artificial Intelligence in E-commerce Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence in E-commerce Sales Value, 2019-2030
5.6.2 Middle East & Africa Artificial Intelligence in E-commerce Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence in E-commerce Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial Intelligence in E-commerce Sales Value
6.3 United States
6.3.1 United States Artificial Intelligence in E-commerce Sales Value, 2019-2030
6.3.2 United States Artificial Intelligence in E-commerce Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial Intelligence in E-commerce Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial Intelligence in E-commerce Sales Value, 2019-2030
6.4.2 Europe Artificial Intelligence in E-commerce Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial Intelligence in E-commerce Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial Intelligence in E-commerce Sales Value, 2019-2030
6.5.2 China Artificial Intelligence in E-commerce Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial Intelligence in E-commerce Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial Intelligence in E-commerce Sales Value, 2019-2030
6.6.2 Japan Artificial Intelligence in E-commerce Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial Intelligence in E-commerce Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial Intelligence in E-commerce Sales Value, 2019-2030
6.7.2 South Korea Artificial Intelligence in E-commerce Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial Intelligence in E-commerce Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence in E-commerce Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial Intelligence in E-commerce Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial Intelligence in E-commerce Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial Intelligence in E-commerce Sales Value, 2019-2030
6.9.2 India Artificial Intelligence in E-commerce Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial Intelligence in E-commerce Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Amazon
7.1.1 Amazon Profile
7.1.2 Amazon Main Business
7.1.3 Amazon Artificial Intelligence in E-commerce Products, Services and Solutions
7.1.4 Amazon Artificial Intelligence in E-commerce Revenue (US$ Million) & (2019-2024)
7.1.5 Amazon Recent Developments
7.2 Alibaba Group
7.2.1 Alibaba Group Profile
7.2.2 Alibaba Group Main Business
7.2.3 Alibaba Group Artificial Intelligence in E-commerce Products, Services and Solutions
7.2.4 Alibaba Group Artificial Intelligence in E-commerce Revenue (US$ Million) & (2019-2024)
7.2.5 Alibaba Group Recent Developments
7.3 IBM
7.3.1 IBM Profile
7.3.2 IBM Main Business
7.3.3 IBM Artificial Intelligence in E-commerce Products, Services and Solutions
7.3.4 IBM Artificial Intelligence in E-commerce Revenue (US$ Million) & (2019-2024)
7.3.5 Google Recent Developments
7.4 Google
7.4.1 Google Profile
7.4.2 Google Main Business
7.4.3 Google Artificial Intelligence in E-commerce Products, Services and Solutions
7.4.4 Google Artificial Intelligence in E-commerce Revenue (US$ Million) & (2019-2024)
7.4.5 Google Recent Developments
7.5 Salesforce
7.5.1 Salesforce Profile
7.5.2 Salesforce Main Business
7.5.3 Salesforce Artificial Intelligence in E-commerce Products, Services and Solutions
7.5.4 Salesforce Artificial Intelligence in E-commerce Revenue (US$ Million) & (2019-2024)
7.5.5 Salesforce Recent Developments
7.6 Adobe
7.6.1 Adobe Profile
7.6.2 Adobe Main Business
7.6.3 Adobe Artificial Intelligence in E-commerce Products, Services and Solutions
7.6.4 Adobe Artificial Intelligence in E-commerce Revenue (US$ Million) & (2019-2024)
7.6.5 Adobe Recent Developments
7.7 Shopify
7.7.1 Shopify Profile
7.7.2 Shopify Main Business
7.7.3 Shopify Artificial Intelligence in E-commerce Products, Services and Solutions
7.7.4 Shopify Artificial Intelligence in E-commerce Revenue (US$ Million) & (2019-2024)
7.7.5 Shopify Recent Developments
7.8 Oracle
7.8.1 Oracle Profile
7.8.2 Oracle Main Business
7.8.3 Oracle Artificial Intelligence in E-commerce Products, Services and Solutions
7.8.4 Oracle Artificial Intelligence in E-commerce Revenue (US$ Million) & (2019-2024)
7.8.5 Oracle Recent Developments
7.9 SAP
7.9.1 SAP Profile
7.9.2 SAP Main Business
7.9.3 SAP Artificial Intelligence in E-commerce Products, Services and Solutions
7.9.4 SAP Artificial Intelligence in E-commerce Revenue (US$ Million) & (2019-2024)
7.9.5 SAP Recent Developments
7.10 BigCommerce
7.10.1 BigCommerce Profile
7.10.2 BigCommerce Main Business
7.10.3 BigCommerce Artificial Intelligence in E-commerce Products, Services and Solutions
7.10.4 BigCommerce Artificial Intelligence in E-commerce Revenue (US$ Million) & (2019-2024)
7.10.5 BigCommerce Recent Developments
7.11 Dynamic Yield
7.11.1 Dynamic Yield Profile
7.11.2 Dynamic Yield Main Business
7.11.3 Dynamic Yield Artificial Intelligence in E-commerce Products, Services and Solutions
7.11.4 Dynamic Yield Artificial Intelligence in E-commerce Revenue (US$ Million) & (2019-2024)
7.11.5 Dynamic Yield Recent Developments
7.12 Reflektion
7.12.1 Reflektion Profile
7.12.2 Reflektion Main Business
7.12.3 Reflektion Artificial Intelligence in E-commerce Products, Services and Solutions
7.12.4 Reflektion Artificial Intelligence in E-commerce Revenue (US$ Million) & (2019-2024)
7.12.5 Reflektion Recent Developments
7.13 Nosto
7.13.1 Nosto Profile
7.13.2 Nosto Main Business
7.13.3 Nosto Artificial Intelligence in E-commerce Products, Services and Solutions
7.13.4 Nosto Artificial Intelligence in E-commerce Revenue (US$ Million) & (2019-2024)
7.13.5 Nosto Recent Developments
7.14 Emarsys
7.14.1 Emarsys Profile
7.14.2 Emarsys Main Business
7.14.3 Emarsys Artificial Intelligence in E-commerce Products, Services and Solutions
7.14.4 Emarsys Artificial Intelligence in E-commerce Revenue (US$ Million) & (2019-2024)
7.14.5 Emarsys Recent Developments
7.15 RichRelevance
7.15.1 RichRelevance Profile
7.15.2 RichRelevance Main Business
7.15.3 RichRelevance Artificial Intelligence in E-commerce Products, Services and Solutions
7.15.4 RichRelevance Artificial Intelligence in E-commerce Revenue (US$ Million) & (2019-2024)
7.15.5 RichRelevance Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence in E-commerce Industrial Chain
8.2 Artificial Intelligence in E-commerce Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Artificial Intelligence in E-commerce Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence in E-commerce Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Amazon
Alibaba Group
IBM
Google
Salesforce
Adobe
Shopify
Oracle
SAP
BigCommerce
Dynamic Yield
Reflektion
Nosto
Emarsys
RichRelevance

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