Top Key Companies for Artificial Intelligence in E-commerce Market: Amazon, Alibaba Group, IBM, Google, Salesforce, Adobe, Shopify, Oracle, SAP, BigCommerce, Dynamic Yield, Reflektion, Nosto, Emarsys, RichRelevance.
Global Artificial Intelligence in E-commerce Market Is Expected to Grow at A Significant Growth Rate, And the Forecast Period Is 2025-2032, Considering the Base Year As 2024.
Global Artificial Intelligence in E-commerce Market Overview And Scope:
The Global Artificial Intelligence in E-commerce Market Report 2025 provides comprehensive analysis of market development components, patterns, flows, and sizes. This research study of Artificial Intelligence in E-commerce utilized both primary and secondary data sources to calculate present and past market values to forecast potential market management for the forecast period between 2025 and 2032. It includes the study of a wide range of industry parameters, including government policies, market environments, competitive landscape, historical data, current market trends, technological innovations, upcoming technologies, and technological progress within related industries. Additionally, the report provides an in-depth analysis of the value chain and supply chain to demonstrate how value is added at every stage in the product lifecycle. The study incorporates market dynamics such as drivers, restraints/challenges, trends, and their impact on the market.
Global Artificial Intelligence in E-commerce Market Segmentation
By Type, Artificial Intelligence in E-commerce market has been segmented into:
Hardware
Software
Service
By Application, Artificial Intelligence in E-commerce market has been segmented into:
Buyer-oriented E-commerce
Supplier-oriented E-commerce
Intermediary-oriented E-commerce
Regional Analysis of Artificial Intelligence in E-commerce Market:
North America (U.S., Canada, Mexico)
Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
South America (Brazil, Argentina, Rest of SA)
Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
Competitive Landscape of Artificial Intelligence in E-commerce Market:
Competitive analysis is the study of strength and weakness, market investment, market share, market sales volume, market trends of major players in the market.The Artificial Intelligence in E-commerce market study focused on including all the primary level, secondary level and tertiary level competitors in the report.The data generated by conducting the primary and secondary research. The report covers detail analysis of driver, constraints and scope for new players entering the Artificial Intelligence in E-commerce market.
Top Key Companies Covered in Artificial Intelligence in E-commerce market are:
Amazon
Alibaba Group
IBM
Google
Salesforce
Adobe
Shopify
Oracle
SAP
BigCommerce
Dynamic Yield
Reflektion
Nosto
Emarsys
RichRelevance
Key Questions answered in the Artificial Intelligence in E-commerce Market Report:
1. What is the expected Artificial Intelligence in E-commerce Market size during the forecast period, 2025-2032?
2. Which region is the largest market for the Artificial Intelligence in E-commerce Market?
3. What is the expected future scenario and the revenue generated by different regions and countries in the Artificial Intelligence in E-commerce Market, such as North America, Europe, AsiaPacific & Japan, China, U.K., South America, and Middle East and Africa?
4. What is the competitive strength of the key players in the Artificial Intelligence in E-commerce Market on the basis of the analysis of their recent developments, product offerings, and regional presence?
5. Where do the key Artificial Intelligence in E-commerce companies lie in their competitive benchmarking compared to the factors of market coverage and market potential?
6. How are the adoption scenario, related opportunities, and challenges impacting the Artificial Intelligence in E-commerce Markets?
7. How is the funding and investment landscape in the Artificial Intelligence in E-commerce Market?
8. Which are the leading consortiums and associations in the Artificial Intelligence in E-commerce Market, and what is their role in the market?
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Type
3.2 By Application
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
Chapter 5: Artificial Intelligence in E-commerce Market by Type
5.1 Artificial Intelligence in E-commerce Market Overview Snapshot and Growth Engine
5.2 Artificial Intelligence in E-commerce Market Overview
5.3 Hardware
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size (2017-2032F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 Hardware: Geographic Segmentation
5.4 Software
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size (2017-2032F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 Software: Geographic Segmentation
5.5 Service
5.5.1 Introduction and Market Overview
5.5.2 Historic and Forecasted Market Size (2017-2032F)
5.5.3 Key Market Trends, Growth Factors and Opportunities
5.5.4 Service: Geographic Segmentation
Chapter 6: Artificial Intelligence in E-commerce Market by Application
6.1 Artificial Intelligence in E-commerce Market Overview Snapshot and Growth Engine
6.2 Artificial Intelligence in E-commerce Market Overview
6.3 Buyer-oriented E-commerce
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size (2017-2032F)
6.3.3 Key Market Trends, Growth Factors and Opportunities
6.3.4 Buyer-oriented E-commerce: Geographic Segmentation
6.4 Supplier-oriented E-commerce
6.4.1 Introduction and Market Overview
6.4.2 Historic and Forecasted Market Size (2017-2032F)
6.4.3 Key Market Trends, Growth Factors and Opportunities
6.4.4 Supplier-oriented E-commerce: Geographic Segmentation
6.5 Intermediary-oriented E-commerce
6.5.1 Introduction and Market Overview
6.5.2 Historic and Forecasted Market Size (2017-2032F)
6.5.3 Key Market Trends, Growth Factors and Opportunities
6.5.4 Intermediary-oriented E-commerce: Geographic Segmentation
Chapter 7: Company Profiles and Competitive Analysis
7.1 Competitive Landscape
7.1.1 Competitive Positioning
7.1.2 Artificial Intelligence in E-commerce Sales and Market Share By Players
7.1.3 Industry BCG Matrix
7.1.4 Heat Map Analysis
7.1.5 Artificial Intelligence in E-commerce Industry Concentration Ratio (CR5 and HHI)
7.1.6 Top 5 Artificial Intelligence in E-commerce Players Market Share
7.1.7 Mergers and Acquisitions
7.1.8 Business Strategies By Top Players
7.2 AMAZON
7.2.1 Company Overview
7.2.2 Key Executives
7.2.3 Company Snapshot
7.2.4 Operating Business Segments
7.2.5 Product Portfolio
7.2.6 Business Performance
7.2.7 Key Strategic Moves and Recent Developments
7.2.8 SWOT Analysis
7.3 ALIBABA GROUP
7.4 IBM
7.5 GOOGLE
7.6 SALESFORCE
7.7 ADOBE
7.8 SHOPIFY
7.9 ORACLE
7.10 SAP
7.11 BIGCOMMERCE
7.12 DYNAMIC YIELD
7.13 REFLEKTION
7.14 NOSTO
7.15 EMARSYS
7.16 RICHRELEVANCE
Chapter 8: Global Artificial Intelligence in E-commerce Market Analysis, Insights and Forecast, 2017-2032
8.1 Market Overview
8.2 Historic and Forecasted Market Size By Type
8.2.1 Hardware
8.2.2 Software
8.2.3 Service
8.3 Historic and Forecasted Market Size By Application
8.3.1 Buyer-oriented E-commerce
8.3.2 Supplier-oriented E-commerce
8.3.3 Intermediary-oriented E-commerce
Chapter 9: North America Artificial Intelligence in E-commerce Market Analysis, Insights and Forecast, 2017-2032
9.1 Key Market Trends, Growth Factors and Opportunities
9.2 Impact of Covid-19
9.3 Key Players
9.4 Key Market Trends, Growth Factors and Opportunities
9.4 Historic and Forecasted Market Size By Type
9.4.1 Hardware
9.4.2 Software
9.4.3 Service
9.5 Historic and Forecasted Market Size By Application
9.5.1 Buyer-oriented E-commerce
9.5.2 Supplier-oriented E-commerce
9.5.3 Intermediary-oriented E-commerce
9.6 Historic and Forecast Market Size by Country
9.6.1 US
9.6.2 Canada
9.6.3 Mexico
Chapter 10: Eastern Europe Artificial Intelligence in E-commerce Market Analysis, Insights and Forecast, 2017-2032
10.1 Key Market Trends, Growth Factors and Opportunities
10.2 Impact of Covid-19
10.3 Key Players
10.4 Key Market Trends, Growth Factors and Opportunities
10.4 Historic and Forecasted Market Size By Type
10.4.1 Hardware
10.4.2 Software
10.4.3 Service
10.5 Historic and Forecasted Market Size By Application
10.5.1 Buyer-oriented E-commerce
10.5.2 Supplier-oriented E-commerce
10.5.3 Intermediary-oriented E-commerce
10.6 Historic and Forecast Market Size by Country
10.6.1 Bulgaria
10.6.2 The Czech Republic
10.6.3 Hungary
10.6.4 Poland
10.6.5 Romania
10.6.6 Rest of Eastern Europe
Chapter 11: Western Europe Artificial Intelligence in E-commerce Market Analysis, Insights and Forecast, 2017-2032
11.1 Key Market Trends, Growth Factors and Opportunities
11.2 Impact of Covid-19
11.3 Key Players
11.4 Key Market Trends, Growth Factors and Opportunities
11.4 Historic and Forecasted Market Size By Type
11.4.1 Hardware
11.4.2 Software
11.4.3 Service
11.5 Historic and Forecasted Market Size By Application
11.5.1 Buyer-oriented E-commerce
11.5.2 Supplier-oriented E-commerce
11.5.3 Intermediary-oriented E-commerce
11.6 Historic and Forecast Market Size by Country
11.6.1 Germany
11.6.2 UK
11.6.3 France
11.6.4 Netherlands
11.6.5 Italy
11.6.6 Russia
11.6.7 Spain
11.6.8 Rest of Western Europe
Chapter 12: Asia Pacific Artificial Intelligence in E-commerce Market Analysis, Insights and Forecast, 2017-2032
12.1 Key Market Trends, Growth Factors and Opportunities
12.2 Impact of Covid-19
12.3 Key Players
12.4 Key Market Trends, Growth Factors and Opportunities
12.4 Historic and Forecasted Market Size By Type
12.4.1 Hardware
12.4.2 Software
12.4.3 Service
12.5 Historic and Forecasted Market Size By Application
12.5.1 Buyer-oriented E-commerce
12.5.2 Supplier-oriented E-commerce
12.5.3 Intermediary-oriented E-commerce
12.6 Historic and Forecast Market Size by Country
12.6.1 China
12.6.2 India
12.6.3 Japan
12.6.4 South Korea
12.6.5 Malaysia
12.6.6 Thailand
12.6.7 Vietnam
12.6.8 The Philippines
12.6.9 Australia
12.6.10 New Zealand
12.6.11 Rest of APAC
Chapter 13: Middle East & Africa Artificial Intelligence in E-commerce Market Analysis, Insights and Forecast, 2017-2032
13.1 Key Market Trends, Growth Factors and Opportunities
13.2 Impact of Covid-19
13.3 Key Players
13.4 Key Market Trends, Growth Factors and Opportunities
13.4 Historic and Forecasted Market Size By Type
13.4.1 Hardware
13.4.2 Software
13.4.3 Service
13.5 Historic and Forecasted Market Size By Application
13.5.1 Buyer-oriented E-commerce
13.5.2 Supplier-oriented E-commerce
13.5.3 Intermediary-oriented E-commerce
13.6 Historic and Forecast Market Size by Country
13.6.1 Turkey
13.6.2 Bahrain
13.6.3 Kuwait
13.6.4 Saudi Arabia
13.6.5 Qatar
13.6.6 UAE
13.6.7 Israel
13.6.8 South Africa
Chapter 14: South America Artificial Intelligence in E-commerce Market Analysis, Insights and Forecast, 2017-2032
14.1 Key Market Trends, Growth Factors and Opportunities
14.2 Impact of Covid-19
14.3 Key Players
14.4 Key Market Trends, Growth Factors and Opportunities
14.4 Historic and Forecasted Market Size By Type
14.4.1 Hardware
14.4.2 Software
14.4.3 Service
14.5 Historic and Forecasted Market Size By Application
14.5.1 Buyer-oriented E-commerce
14.5.2 Supplier-oriented E-commerce
14.5.3 Intermediary-oriented E-commerce
14.6 Historic and Forecast Market Size by Country
14.6.1 Brazil
14.6.2 Argentina
14.6.3 Rest of SA
Chapter 15 Investment Analysis
Chapter 16 Analyst Viewpoint and Conclusion
Artificial Intelligence in E-commerce Scope:
Report Data
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Artificial Intelligence in E-commerce Market
|
Artificial Intelligence in E-commerce Market Size in 2025
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USD XX million
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Artificial Intelligence in E-commerce CAGR 2025 - 2032
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XX%
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Artificial Intelligence in E-commerce Base Year
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2024
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Artificial Intelligence in E-commerce Forecast Data
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2025 - 2032
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Segments Covered
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By Type, By Application, And by Regions
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Regional Scope
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North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
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Key Companies Profiled
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Amazon, Alibaba Group, IBM, Google, Salesforce, Adobe, Shopify, Oracle, SAP, BigCommerce, Dynamic Yield, Reflektion, Nosto, Emarsys, RichRelevance.
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Key Segments
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By Type
Hardware Software Service
By Applications
Buyer-oriented E-commerce Supplier-oriented E-commerce Intermediary-oriented E-commerce
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