Global Artificial Intelligence in E-commerce 麻豆原创 Research Report 2024

Publication ID:

PB507240990

Publication Date:

July 10, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global Artificial Intelligence in E-commerce market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing 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$432.8 billion in 2022, a year-on-year increase of 19.6%, including software, hardware and services.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached 楼508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/20 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in E-commerce, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence in E-commerce.
Report Scope
The Artificial Intelligence in E-commerce market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial Intelligence in E-commerce market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence in E-commerce companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 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
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence in E-commerce companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Artificial Intelligence in E-commerce 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Service
1.3 麻豆原创 by Application
1.3.1 Global Artificial Intelligence in E-commerce 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Buyer-oriented E-commerce
1.3.3 Supplier-oriented E-commerce
1.3.4 Intermediary-oriented E-commerce
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence in E-commerce 麻豆原创 Perspective (2019-2030)
2.2 Artificial Intelligence in E-commerce Growth Trends by Region
2.2.1 Global Artificial Intelligence in E-commerce 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence in E-commerce Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Artificial Intelligence in E-commerce Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Artificial Intelligence in E-commerce 麻豆原创 Dynamics
2.3.1 Artificial Intelligence in E-commerce Industry Trends
2.3.2 Artificial Intelligence in E-commerce 麻豆原创 Drivers
2.3.3 Artificial Intelligence in E-commerce 麻豆原创 Challenges
2.3.4 Artificial Intelligence in E-commerce 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence in E-commerce Players by Revenue
3.1.1 Global Top Artificial Intelligence in E-commerce Players by Revenue (2019-2024)
3.1.2 Global Artificial Intelligence in E-commerce Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Artificial Intelligence in E-commerce 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence in E-commerce Revenue
3.4 Global Artificial Intelligence in E-commerce 麻豆原创 Concentration Ratio
3.4.1 Global Artificial Intelligence in E-commerce 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence in E-commerce Revenue in 2023
3.5 Artificial Intelligence in E-commerce Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence in E-commerce Product Solution and Service
3.7 Date of Enter into Artificial Intelligence in E-commerce 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence in E-commerce Breakdown Data by Type
4.1 Global Artificial Intelligence in E-commerce Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Artificial Intelligence in E-commerce Forecasted 麻豆原创 Size by Type (2025-2030)
5 Artificial Intelligence in E-commerce Breakdown Data by Application
5.1 Global Artificial Intelligence in E-commerce Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Artificial Intelligence in E-commerce Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence in E-commerce 麻豆原创 Size (2019-2030)
6.2 North America Artificial Intelligence in E-commerce 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Artificial Intelligence in E-commerce 麻豆原创 Size by Country (2019-2024)
6.4 North America Artificial Intelligence in E-commerce 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence in E-commerce 麻豆原创 Size (2019-2030)
7.2 Europe Artificial Intelligence in E-commerce 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Artificial Intelligence in E-commerce 麻豆原创 Size by Country (2019-2024)
7.4 Europe Artificial Intelligence in E-commerce 麻豆原创 Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence in E-commerce 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Artificial Intelligence in E-commerce 麻豆原创 Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Artificial Intelligence in E-commerce 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Artificial Intelligence in E-commerce 麻豆原创 Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence in E-commerce 麻豆原创 Size (2019-2030)
9.2 Latin America Artificial Intelligence in E-commerce 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Artificial Intelligence in E-commerce 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Artificial Intelligence in E-commerce 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence in E-commerce 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Artificial Intelligence in E-commerce 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Artificial Intelligence in E-commerce 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Artificial Intelligence in E-commerce 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Amazon
11.1.1 Amazon Company Detail
11.1.2 Amazon Business Overview
11.1.3 Amazon Artificial Intelligence in E-commerce Introduction
11.1.4 Amazon Revenue in Artificial Intelligence in E-commerce Business (2019-2024)
11.1.5 Amazon Recent Development
11.2 Alibaba Group
11.2.1 Alibaba Group Company Detail
11.2.2 Alibaba Group Business Overview
11.2.3 Alibaba Group Artificial Intelligence in E-commerce Introduction
11.2.4 Alibaba Group Revenue in Artificial Intelligence in E-commerce Business (2019-2024)
11.2.5 Alibaba Group Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM Artificial Intelligence in E-commerce Introduction
11.3.4 IBM Revenue in Artificial Intelligence in E-commerce Business (2019-2024)
11.3.5 IBM Recent Development
11.4 Google
11.4.1 Google Company Detail
11.4.2 Google Business Overview
11.4.3 Google Artificial Intelligence in E-commerce Introduction
11.4.4 Google Revenue in Artificial Intelligence in E-commerce Business (2019-2024)
11.4.5 Google Recent Development
11.5 Salesforce
11.5.1 Salesforce Company Detail
11.5.2 Salesforce Business Overview
11.5.3 Salesforce Artificial Intelligence in E-commerce Introduction
11.5.4 Salesforce Revenue in Artificial Intelligence in E-commerce Business (2019-2024)
11.5.5 Salesforce Recent Development
11.6 Adobe
11.6.1 Adobe Company Detail
11.6.2 Adobe Business Overview
11.6.3 Adobe Artificial Intelligence in E-commerce Introduction
11.6.4 Adobe Revenue in Artificial Intelligence in E-commerce Business (2019-2024)
11.6.5 Adobe Recent Development
11.7 Shopify
11.7.1 Shopify Company Detail
11.7.2 Shopify Business Overview
11.7.3 Shopify Artificial Intelligence in E-commerce Introduction
11.7.4 Shopify Revenue in Artificial Intelligence in E-commerce Business (2019-2024)
11.7.5 Shopify Recent Development
11.8 Oracle
11.8.1 Oracle Company Detail
11.8.2 Oracle Business Overview
11.8.3 Oracle Artificial Intelligence in E-commerce Introduction
11.8.4 Oracle Revenue in Artificial Intelligence in E-commerce Business (2019-2024)
11.8.5 Oracle Recent Development
11.9 SAP
11.9.1 SAP Company Detail
11.9.2 SAP Business Overview
11.9.3 SAP Artificial Intelligence in E-commerce Introduction
11.9.4 SAP Revenue in Artificial Intelligence in E-commerce Business (2019-2024)
11.9.5 SAP Recent Development
11.10 BigCommerce
11.10.1 BigCommerce Company Detail
11.10.2 BigCommerce Business Overview
11.10.3 BigCommerce Artificial Intelligence in E-commerce Introduction
11.10.4 BigCommerce Revenue in Artificial Intelligence in E-commerce Business (2019-2024)
11.10.5 BigCommerce Recent Development
11.11 Dynamic Yield
11.11.1 Dynamic Yield Company Detail
11.11.2 Dynamic Yield Business Overview
11.11.3 Dynamic Yield Artificial Intelligence in E-commerce Introduction
11.11.4 Dynamic Yield Revenue in Artificial Intelligence in E-commerce Business (2019-2024)
11.11.5 Dynamic Yield Recent Development
11.12 Reflektion
11.12.1 Reflektion Company Detail
11.12.2 Reflektion Business Overview
11.12.3 Reflektion Artificial Intelligence in E-commerce Introduction
11.12.4 Reflektion Revenue in Artificial Intelligence in E-commerce Business (2019-2024)
11.12.5 Reflektion Recent Development
11.13 Nosto
11.13.1 Nosto Company Detail
11.13.2 Nosto Business Overview
11.13.3 Nosto Artificial Intelligence in E-commerce Introduction
11.13.4 Nosto Revenue in Artificial Intelligence in E-commerce Business (2019-2024)
11.13.5 Nosto Recent Development
11.14 Emarsys
11.14.1 Emarsys Company Detail
11.14.2 Emarsys Business Overview
11.14.3 Emarsys Artificial Intelligence in E-commerce Introduction
11.14.4 Emarsys Revenue in Artificial Intelligence in E-commerce Business (2019-2024)
11.14.5 Emarsys Recent Development
11.15 RichRelevance
11.15.1 RichRelevance Company Detail
11.15.2 RichRelevance Business Overview
11.15.3 RichRelevance Artificial Intelligence in E-commerce Introduction
11.15.4 RichRelevance Revenue in Artificial Intelligence in E-commerce Business (2019-2024)
11.15.5 RichRelevance Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

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

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