This Generative Artificial Intelligence (AI) in E-Commerce market report provides a comprehensive analysis of the market’s characteristics, size, and growth, including segmentation, regional and country-level breakdowns, competitive landscape, market shares, trends, and strategies. It also tracks historical and forecasted market growth across various geographies.
The generative artificial intelligence (AI) in e-commerce market size has grown rapidly in recent years. It will grow from $0.88 billion in 2024 to $1.04 billion in 2025 at a compound annual growth rate (CAGR) of 18.8%. The growth in the historic period can be attributed to increasing consumer expectations for personalized experiences, the growth of cloud computing infrastructure, improvements in natural language processing, the need for efficient content generation, and the integration of AI with existing e-commerce platforms.
The generative artificial intelligence (AI) in e-commerce market size is expected to see rapid growth in the next few years. It will grow to $2.06 billion in 2029 at a compound annual growth rate (CAGR) of 18.6%. The growth in the forecast period can be attributed to the expansion of omnichannel retail strategies, advances in AI ethics and regulations, increased investment in AI-driven startups, the development of more sophisticated recommendation systems, and growing consumer demand for real-time customization. Major trends in the forecast period include use of AI for dynamic pricing strategies, automation in customer service through advanced chatbots, greater integration of AI with augmented reality for virtual try-ons, expanded deployment of AI-driven content creation tools, the development of sophisticated AI models for predictive analytics.
The growing penetration of 5G networks is expected to fuel the expansion of generative artificial intelligence (AI) in the e-commerce market. As the fifth generation of mobile network technology, 5G offers faster speeds, lower latency, and more reliable connections compared to previous generations. The increasing adoption of 5G networks is driven by the need for faster internet, enhanced connectivity, and new applications that require higher speeds and reduced latency. In e-commerce, 5G networks bolster generative AI by enabling quicker data processing, real-time personalization, and seamless customer experiences through low-latency, high-speed connectivity. For example, in September 2023, 5G Americas, a US-based industry trade organization, reported that the 5G penetration rate in North America had reached an impressive 40%, with a 25.5% growth rate in the first half of 2023. It is projected that North America's 5G connections will soar to 669 million by 2028. Therefore, the growing penetration of 5G networks is accelerating the growth of AI in the e-commerce market.
Leading companies in generative AI for e-commerce are focusing on developing AI chatbot tools to enhance various aspects of the shopping experience. Generative AI chatbots are sophisticated software programs designed to simulate human conversation through text or voice interactions. For instance, in July 2023, Shopify Inc., a Canada-based e-commerce company, introduced Sidekick, a chatbot that leverages advanced generative AI models to engage customers in natural, human-like conversations. Sidekick provides personalized product recommendations, assists with order tracking, and offers real-time customer support, aiming to boost customer satisfaction, streamline interactions, and help merchants optimize their e-commerce operations.
In November 2023, Adobe Inc., a U.S.-based software company, acquired Rephrase.ai for an undisclosed amount. This acquisition aims to enhance Adobe's generative video capabilities by incorporating Rephrase.ai's expertise in AI-driven video and audio technology. Rephrase.ai, an India-based AI company, specializes in generative AI technology for creating personalized video content for e-commerce marketing.
Major companies operating in the generative artificial intelligence (AI) in e-commerce market are Wal-Mart Inc., Amazon Inc., Kroger Co, Alibaba Cloud LLC, Best Buy Co. Inc., Nvidia Corporation, Salesforce Inc., Zalando SE, Ebay Inc., Shopify Inc., Farfetch Ltd, LivePerson Inc., Grid Dynamics Holdings Inc., Bloomreach Inc., Algolia Inc., Coveo Solutions Inc, Magento Inc., Dynamic Yield Ltd, Leewayhertz Technologies Private Limited, MAVERICK Technologies LLC, QSS Technosoft Pvt. Ltd., Bluebash Consulting Pvt Ltd.
North America was the largest region in the generative artificial intelligence (AI) in the e-commerce market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in e-commerce market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence (AI) in e-commerce market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Generative artificial intelligence (AI) in e-commerce involves the use of AI technologies that create new content and enhance user experiences through personalized, data-driven interactions. By leveraging advanced algorithms to analyze vast amounts of data, e-commerce businesses can generate unique product descriptions, images, and personalized recommendations, fundamentally changing how they engage with customers.
The key technologies of generative AI in e-commerce include natural language processing (NLP), computer vision, machine learning, speech recognition, and augmented reality. Natural language processing (NLP) is a technology that enables machines to understand, interpret, and generate human language, facilitating more natural interactions between businesses and customers. Generative AI can be deployed in various modes, including cloud-based, on-premises, and hybrid, catering to different applications such as business-to-business (B2B), business-to-consumer (B2C), personal use, business-to-business, seasonal promotions, and other e-commerce activities.
The generative artificial intelligence (AI) in e-commerce market research report is one of a series of new reports that provides generative artificial intelligence (AI) in e-commerce market statistics, including generative artificial intelligence (AI) in e-commerce industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in e-commerce market share, detailed generative artificial intelligence (AI) in e-commerce market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in e-commerce industry. This generative artificial intelligence (AI) in e-commerce market research report delivers a complete perspective on everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The generative artificial intelligence (AI) in e-commerce market includes revenues earned by entities by providing services such as AI-driven solutions, personalization and recommendations, supply chain and inventory management, and automated responses. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
The generative artificial intelligence (AI) in e-commerce market size has grown rapidly in recent years. It will grow from $0.88 billion in 2024 to $1.04 billion in 2025 at a compound annual growth rate (CAGR) of 18.8%. The growth in the historic period can be attributed to increasing consumer expectations for personalized experiences, the growth of cloud computing infrastructure, improvements in natural language processing, the need for efficient content generation, and the integration of AI with existing e-commerce platforms.
The generative artificial intelligence (AI) in e-commerce market size is expected to see rapid growth in the next few years. It will grow to $2.06 billion in 2029 at a compound annual growth rate (CAGR) of 18.6%. The growth in the forecast period can be attributed to the expansion of omnichannel retail strategies, advances in AI ethics and regulations, increased investment in AI-driven startups, the development of more sophisticated recommendation systems, and growing consumer demand for real-time customization. Major trends in the forecast period include use of AI for dynamic pricing strategies, automation in customer service through advanced chatbots, greater integration of AI with augmented reality for virtual try-ons, expanded deployment of AI-driven content creation tools, the development of sophisticated AI models for predictive analytics.
The growing penetration of 5G networks is expected to fuel the expansion of generative artificial intelligence (AI) in the e-commerce market. As the fifth generation of mobile network technology, 5G offers faster speeds, lower latency, and more reliable connections compared to previous generations. The increasing adoption of 5G networks is driven by the need for faster internet, enhanced connectivity, and new applications that require higher speeds and reduced latency. In e-commerce, 5G networks bolster generative AI by enabling quicker data processing, real-time personalization, and seamless customer experiences through low-latency, high-speed connectivity. For example, in September 2023, 5G Americas, a US-based industry trade organization, reported that the 5G penetration rate in North America had reached an impressive 40%, with a 25.5% growth rate in the first half of 2023. It is projected that North America's 5G connections will soar to 669 million by 2028. Therefore, the growing penetration of 5G networks is accelerating the growth of AI in the e-commerce market.
Leading companies in generative AI for e-commerce are focusing on developing AI chatbot tools to enhance various aspects of the shopping experience. Generative AI chatbots are sophisticated software programs designed to simulate human conversation through text or voice interactions. For instance, in July 2023, Shopify Inc., a Canada-based e-commerce company, introduced Sidekick, a chatbot that leverages advanced generative AI models to engage customers in natural, human-like conversations. Sidekick provides personalized product recommendations, assists with order tracking, and offers real-time customer support, aiming to boost customer satisfaction, streamline interactions, and help merchants optimize their e-commerce operations.
In November 2023, Adobe Inc., a U.S.-based software company, acquired Rephrase.ai for an undisclosed amount. This acquisition aims to enhance Adobe's generative video capabilities by incorporating Rephrase.ai's expertise in AI-driven video and audio technology. Rephrase.ai, an India-based AI company, specializes in generative AI technology for creating personalized video content for e-commerce marketing.
Major companies operating in the generative artificial intelligence (AI) in e-commerce market are Wal-Mart Inc., Amazon Inc., Kroger Co, Alibaba Cloud LLC, Best Buy Co. Inc., Nvidia Corporation, Salesforce Inc., Zalando SE, Ebay Inc., Shopify Inc., Farfetch Ltd, LivePerson Inc., Grid Dynamics Holdings Inc., Bloomreach Inc., Algolia Inc., Coveo Solutions Inc, Magento Inc., Dynamic Yield Ltd, Leewayhertz Technologies Private Limited, MAVERICK Technologies LLC, QSS Technosoft Pvt. Ltd., Bluebash Consulting Pvt Ltd.
North America was the largest region in the generative artificial intelligence (AI) in the e-commerce market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in e-commerce market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence (AI) in e-commerce market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Generative artificial intelligence (AI) in e-commerce involves the use of AI technologies that create new content and enhance user experiences through personalized, data-driven interactions. By leveraging advanced algorithms to analyze vast amounts of data, e-commerce businesses can generate unique product descriptions, images, and personalized recommendations, fundamentally changing how they engage with customers.
The key technologies of generative AI in e-commerce include natural language processing (NLP), computer vision, machine learning, speech recognition, and augmented reality. Natural language processing (NLP) is a technology that enables machines to understand, interpret, and generate human language, facilitating more natural interactions between businesses and customers. Generative AI can be deployed in various modes, including cloud-based, on-premises, and hybrid, catering to different applications such as business-to-business (B2B), business-to-consumer (B2C), personal use, business-to-business, seasonal promotions, and other e-commerce activities.
The generative artificial intelligence (AI) in e-commerce market research report is one of a series of new reports that provides generative artificial intelligence (AI) in e-commerce market statistics, including generative artificial intelligence (AI) in e-commerce industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in e-commerce market share, detailed generative artificial intelligence (AI) in e-commerce market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in e-commerce industry. This generative artificial intelligence (AI) in e-commerce market research report delivers a complete perspective on everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The generative artificial intelligence (AI) in e-commerce market includes revenues earned by entities by providing services such as AI-driven solutions, personalization and recommendations, supply chain and inventory management, and automated responses. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. Generative Artificial Intelligence (AI) in E-Commerce Market Characteristics3. Generative Artificial Intelligence (AI) in E-Commerce Market Trends and Strategies4. Generative Artificial Intelligence (AI) in E-Commerce Market - Macro Economic Scenario Including the Impact of Interest Rates, Inflation, Geopolitics, and the Recovery from COVID-19 on the Market32. Global Generative Artificial Intelligence (AI) in E-Commerce Market Competitive Benchmarking and Dashboard33. Key Mergers and Acquisitions in the Generative Artificial Intelligence (AI) in E-Commerce Market34. Recent Developments in the Generative Artificial Intelligence (AI) in E-Commerce Market
5. Global Generative Artificial Intelligence (AI) in E-Commerce Growth Analysis and Strategic Analysis Framework
6. Generative Artificial Intelligence (AI) in E-Commerce Market Segmentation
7. Generative Artificial Intelligence (AI) in E-Commerce Market Regional and Country Analysis
8. Asia-Pacific Generative Artificial Intelligence (AI) in E-Commerce Market
9. China Generative Artificial Intelligence (AI) in E-Commerce Market
10. India Generative Artificial Intelligence (AI) in E-Commerce Market
11. Japan Generative Artificial Intelligence (AI) in E-Commerce Market
12. Australia Generative Artificial Intelligence (AI) in E-Commerce Market
13. Indonesia Generative Artificial Intelligence (AI) in E-Commerce Market
14. South Korea Generative Artificial Intelligence (AI) in E-Commerce Market
15. Western Europe Generative Artificial Intelligence (AI) in E-Commerce Market
16. UK Generative Artificial Intelligence (AI) in E-Commerce Market
17. Germany Generative Artificial Intelligence (AI) in E-Commerce Market
18. France Generative Artificial Intelligence (AI) in E-Commerce Market
19. Italy Generative Artificial Intelligence (AI) in E-Commerce Market
20. Spain Generative Artificial Intelligence (AI) in E-Commerce Market
21. Eastern Europe Generative Artificial Intelligence (AI) in E-Commerce Market
22. Russia Generative Artificial Intelligence (AI) in E-Commerce Market
23. North America Generative Artificial Intelligence (AI) in E-Commerce Market
24. USA Generative Artificial Intelligence (AI) in E-Commerce Market
25. Canada Generative Artificial Intelligence (AI) in E-Commerce Market
26. South America Generative Artificial Intelligence (AI) in E-Commerce Market
27. Brazil Generative Artificial Intelligence (AI) in E-Commerce Market
28. Middle East Generative Artificial Intelligence (AI) in E-Commerce Market
29. Africa Generative Artificial Intelligence (AI) in E-Commerce Market
30. Generative Artificial Intelligence (AI) in E-Commerce Market Competitive Landscape and Company Profiles
31. Generative Artificial Intelligence (AI) in E-Commerce Market Other Major and Innovative Companies
35. Generative Artificial Intelligence (AI) in E-Commerce Market High Potential Countries, Segments and Strategies
36. Appendix
Executive Summary
Generative Artificial Intelligence (AI) In E-Commerce Global Market Report 2025 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on generative artificial intelligence (ai) In e-commerce market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for generative artificial intelligence (ai) In e-commerce ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The generative artificial intelligence (ai) In e-commerce market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include: the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Technology: Natural Language Processing; Computer Vision; Machine Learning; Speech Recognition; Augmented Reality2) By Deployment Mode: Cloud-Based; on-Premises; Hybrid
3) By Application: Business To Business (B2B); Business To Consumer (B2C); Personal; Business Use; Seasonal Use; Other Applications
Subsegments:
1) By Natural Language Processing (NLP): Chatbots and Virtual Assistants; Sentiment Analysis for Customer Feedback; Automated Content Creation for Product Descriptions; Personalized Recommendations and Search; Language Translation Services2) By Computer Vision: Image Recognition for Product Categorization; Visual Search Capabilities; Automated Quality Inspection of Products; Augmented Reality (AR) For Virtual Try-Ons; Facial Recognition for Personalized Marketing
3) By Machine Learning: Predictive Analytics for Customer Behavior; Recommendation Systems; Dynamic Pricing Algorithms; Inventory Management Optimization; Fraud Detection and Prevention
4) By Speech Recognition: Voice-Activated Shopping Assistants; Customer Service Automation; Voice Search Optimization; Accessibility Features for Disabled Users; Voice-Based Product Recommendations
5) By Augmented Reality (AR): Virtual Try-on Solutions for Apparel and Accessories; Interactive Product Demos; Enhanced Customer Engagement Through AR Experiences; in-Store Navigation and Visualization; Virtual Showrooms and Experiences.
Key Companies Mentioned: Wal-Mart Inc.; Amazon Inc.; Kroger Co; Alibaba Cloud LLC; Best Buy Co. Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
The major companies featured in this Generative Artificial Intelligence (AI) in E-Commerce market report include:- Wal-Mart Inc.
- Amazon Inc.
- Kroger Co
- Alibaba Cloud LLC
- Best Buy Co. Inc.
- Nvidia Corporation
- Salesforce Inc.
- Zalando SE
- Ebay Inc.
- Shopify Inc.
- Farfetch Ltd
- LivePerson Inc.
- Grid Dynamics Holdings Inc.
- Bloomreach Inc.
- Algolia Inc.
- Coveo Solutions Inc
- Magento Inc.
- Dynamic Yield Ltd
- Leewayhertz Technologies Private Limited
- MAVERICK Technologies LLC
- QSS Technosoft Pvt. Ltd.
- Bluebash Consulting Pvt Ltd.
Table Information
Report Attribute | Details |
---|---|
No. of Pages | 200 |
Published | April 2025 |
Forecast Period | 2025 - 2029 |
Estimated Market Value ( USD | $ 1.04 Billion |
Forecasted Market Value ( USD | $ 2.06 Billion |
Compound Annual Growth Rate | 18.6% |
Regions Covered | Global |
No. of Companies Mentioned | 22 |