Global AI in E-commerce Market Research Report 2023

Publication ID:

PB504230251

Publication Date:

April 12, 2023

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global AI in E-commerce market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for AI in E-commerce is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for AI in E-commerce is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for AI in E-commerce in Chatbot is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of AI in E-commerce include Alibaba, Amazon, Amplero, BigCommerce, Cedcommerce, Clarifa, Google, HCL Technologies and IBM, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for AI 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 AI in E-commerce.
The AI in E-commerce market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global AI 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 AI in E-commerce companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Alibaba
Amazon
Amplero
BigCommerce
Cedcommerce
Clarifa
Google
HCL Technologies
IBM
Microsoft
Persado
Shelf
Tagalys
Segment by Type
Local
Cloud-based
Segment by Application
Chatbot
After Sales Support
Anti-counterfeiting
E-commerce Marketing
Other
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
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, 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 AI 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 key companies in the market in detail, including product revenue, 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 Market Analysis by Type
1.2.1 Global AI in E-commerce Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Local
1.2.3 Cloud-based
1.3 Market by Application
1.3.1 Global AI in E-commerce Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Chatbot
1.3.3 After Sales Support
1.3.4 Anti-counterfeiting
1.3.5 E-commerce Marketing
1.3.6 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI in E-commerce Market Perspective (2018-2029)
2.2 AI in E-commerce Growth Trends by Region
2.2.1 Global AI in E-commerce Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 AI in E-commerce Historic Market Size by Region (2018-2023)
2.2.3 AI in E-commerce Forecasted Market Size by Region (2024-2029)
2.3 AI in E-commerce Market Dynamics
2.3.1 AI in E-commerce Industry Trends
2.3.2 AI in E-commerce Market Drivers
2.3.3 AI in E-commerce Market Challenges
2.3.4 AI in E-commerce Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI in E-commerce Players by Revenue
3.1.1 Global Top AI in E-commerce Players by Revenue (2018-2023)
3.1.2 Global AI in E-commerce Revenue Market Share by Players (2018-2023)
3.2 Global AI in E-commerce Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI in E-commerce Revenue
3.4 Global AI in E-commerce Market Concentration Ratio
3.4.1 Global AI in E-commerce Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI in E-commerce Revenue in 2022
3.5 AI in E-commerce Key Players Head office and Area Served
3.6 Key Players AI in E-commerce Product Solution and Service
3.7 Date of Enter into AI in E-commerce Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI in E-commerce Breakdown Data by Type
4.1 Global AI in E-commerce Historic Market Size by Type (2018-2023)
4.2 Global AI in E-commerce Forecasted Market Size by Type (2024-2029)
5 AI in E-commerce Breakdown Data by Application
5.1 Global AI in E-commerce Historic Market Size by Application (2018-2023)
5.2 Global AI in E-commerce Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America AI in E-commerce Market Size (2018-2029)
6.2 North America AI in E-commerce Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America AI in E-commerce Market Size by Country (2018-2023)
6.4 North America AI in E-commerce Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI in E-commerce Market Size (2018-2029)
7.2 Europe AI in E-commerce Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe AI in E-commerce Market Size by Country (2018-2023)
7.4 Europe AI in E-commerce Market Size by Country (2024-2029)
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 AI in E-commerce Market Size (2018-2029)
8.2 Asia-Pacific AI in E-commerce Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific AI in E-commerce Market Size by Region (2018-2023)
8.4 Asia-Pacific AI in E-commerce Market Size by Region (2024-2029)
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 AI in E-commerce Market Size (2018-2029)
9.2 Latin America AI in E-commerce Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America AI in E-commerce Market Size by Country (2018-2023)
9.4 Latin America AI in E-commerce Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI in E-commerce Market Size (2018-2029)
10.2 Middle East & Africa AI in E-commerce Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa AI in E-commerce Market Size by Country (2018-2023)
10.4 Middle East & Africa AI in E-commerce Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Alibaba
11.1.1 Alibaba Company Detail
11.1.2 Alibaba Business Overview
11.1.3 Alibaba AI in E-commerce Introduction
11.1.4 Alibaba Revenue in AI in E-commerce Business (2018-2023)
11.1.5 Alibaba Recent Development
11.2 Amazon
11.2.1 Amazon Company Detail
11.2.2 Amazon Business Overview
11.2.3 Amazon AI in E-commerce Introduction
11.2.4 Amazon Revenue in AI in E-commerce Business (2018-2023)
11.2.5 Amazon Recent Development
11.3 Amplero
11.3.1 Amplero Company Detail
11.3.2 Amplero Business Overview
11.3.3 Amplero AI in E-commerce Introduction
11.3.4 Amplero Revenue in AI in E-commerce Business (2018-2023)
11.3.5 Amplero Recent Development
11.4 BigCommerce
11.4.1 BigCommerce Company Detail
11.4.2 BigCommerce Business Overview
11.4.3 BigCommerce AI in E-commerce Introduction
11.4.4 BigCommerce Revenue in AI in E-commerce Business (2018-2023)
11.4.5 BigCommerce Recent Development
11.5 Cedcommerce
11.5.1 Cedcommerce Company Detail
11.5.2 Cedcommerce Business Overview
11.5.3 Cedcommerce AI in E-commerce Introduction
11.5.4 Cedcommerce Revenue in AI in E-commerce Business (2018-2023)
11.5.5 Cedcommerce Recent Development
11.6 Clarifa
11.6.1 Clarifa Company Detail
11.6.2 Clarifa Business Overview
11.6.3 Clarifa AI in E-commerce Introduction
11.6.4 Clarifa Revenue in AI in E-commerce Business (2018-2023)
11.6.5 Clarifa Recent Development
11.7 Google
11.7.1 Google Company Detail
11.7.2 Google Business Overview
11.7.3 Google AI in E-commerce Introduction
11.7.4 Google Revenue in AI in E-commerce Business (2018-2023)
11.7.5 Google Recent Development
11.8 HCL Technologies
11.8.1 HCL Technologies Company Detail
11.8.2 HCL Technologies Business Overview
11.8.3 HCL Technologies AI in E-commerce Introduction
11.8.4 HCL Technologies Revenue in AI in E-commerce Business (2018-2023)
11.8.5 HCL Technologies Recent Development
11.9 IBM
11.9.1 IBM Company Detail
11.9.2 IBM Business Overview
11.9.3 IBM AI in E-commerce Introduction
11.9.4 IBM Revenue in AI in E-commerce Business (2018-2023)
11.9.5 IBM Recent Development
11.10 Microsoft
11.10.1 Microsoft Company Detail
11.10.2 Microsoft Business Overview
11.10.3 Microsoft AI in E-commerce Introduction
11.10.4 Microsoft Revenue in AI in E-commerce Business (2018-2023)
11.10.5 Microsoft Recent Development
11.11 Persado
11.11.1 Persado Company Detail
11.11.2 Persado Business Overview
11.11.3 Persado AI in E-commerce Introduction
11.11.4 Persado Revenue in AI in E-commerce Business (2018-2023)
11.11.5 Persado Recent Development
11.12 Shelf
11.12.1 Shelf Company Detail
11.12.2 Shelf Business Overview
11.12.3 Shelf AI in E-commerce Introduction
11.12.4 Shelf Revenue in AI in E-commerce Business (2018-2023)
11.12.5 Shelf Recent Development
11.13 Tagalys
11.13.1 Tagalys Company Detail
11.13.2 Tagalys Business Overview
11.13.3 Tagalys AI in E-commerce Introduction
11.13.4 Tagalys Revenue in AI in E-commerce Business (2018-2023)
11.13.5 Tagalys 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:

Alibaba
Amazon
Amplero
BigCommerce
Cedcommerce
Clarifa
Google
HCL Technologies
IBM
Microsoft
Persado
Shelf
Tagalys

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