Intelligent Shopping Assistants and Multimodal AI Offer Lucrative Growth Opportunities

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Dublin, Aug. 18, 2025 (GLOBE NEWSWIRE) — The “Generative AI in E-Commerce Market 2025-2029” has been added to ResearchAndMarkets.com’s offering.

The generative AI in e-commerce market is projected to expand by USD 2.21 billion between 2024 and 2029, marking a robust CAGR of 29.1% during this period. This comprehensive report offers an in-depth analysis of market size, trends, growth drivers, and vendor performance, covering approximately 25 vendors.

As the market evolves, key catalysts include the demand for hyper-personalization and outstanding customer experience, strategic enhancements in operational efficiency alongside cost reduction, and the democratization of cutting-edge AI technologies. The integration flexibility these technologies offer further accelerates market growth.

This study integrates both primary and secondary industry sources, offering detailed market size data, regional segmentation, and vendor comparisons. The historical and forecast data provide a strategic insight into future trends.

Generative AI in E-Commerce Market Segmentation:

  • By Technology: NLP, Machine Learning, Computer Vision, Others

  • By Application: B2C, B2B, Others

  • By Deployment: Cloud-based, On-premises

  • By Geographical Landscape: North America, Europe, APAC, South America, Middle East and Africa

The rise of intelligent shopping assistants and conversational commerce is driving growth, alongside the embedding of generative AI as a native platform capability and multimodal AI for enhanced, visually-driven commerce experiences. Collectively, these factors promise to stimulate significant demand in the market.

The report addresses several key areas:

  • Generative AI In E-Commerce Market Sizing

  • Generative AI In E-Commerce Market Forecast

  • Generative AI In E-Commerce Market Industry Analysis

Key Topics Covered

  • 1 Executive Summary

  • 2 Market Analysis

    • 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

    • 2.2 Criticality of inputs and Factors of differentiation

    • 2.3 Factors of disruption

    • 2.4 Impact of drivers and challenges

  • 3 Market Landscape

  • 4 Market Sizing

  • 5 Five Forces Analysis

    • 5.1 Five forces summary

    • 5.2 Bargaining power of buyers

    • 5.3 Bargaining power of suppliers

    • 5.4 Threat of new entrants

    • 5.5 Threat of substitutes

    • 5.6 Threat of rivalry

    • 5.7 Market condition

  • 6 Market Segmentation by Technology

    • 6.1 Market segments

    • 6.2 Comparison by Technology

    • 6.3 NLP – Market size and forecast 2024-2029

    • 6.4 Machine learning – Market size and forecast 2024-2029

    • 6.5 Computer vision – Market size and forecast 2024-2029

    • 6.6 Others – Market size and forecast 2024-2029

    • 6.7 Market opportunity by Technology

  • 7 Market Segmentation by Application

    • 7.1 Market segments

    • 7.2 Comparison by Application

    • 7.3 B2C – Market size and forecast 2024-2029

    • 7.4 B2B – Market size and forecast 2024-2029

    • 7.5 Others – Market size and forecast 2024-2029

    • 7.6 Market opportunity by Application

  • 8 Market Segmentation by Deployment

    • 8.1 Market segments

    • 8.2 Comparison by Deployment

    • 8.3 Cloud-based – Market size and forecast 2024-2029

    • 8.4 On-premises – Market size and forecast 2024-2029

    • 8.5 Market opportunity by Deployment

  • 9 Customer Landscape

  • 10 Geographic Landscape

    • 10.1 Geographic segmentation

    • 10.2 Geographic comparison

    • 10.3 North America – Market size and forecast 2024-2029

    • 10.4 Europe – Market size and forecast 2024-2029

    • 10.5 APAC – Market size and forecast 2024-2029

    • 10.6 South America – Market size and forecast 2024-2029

    • 10.7 Middle East and Africa – Market size and forecast 2024-2029

    • 10.8 US – Market size and forecast 2024-2029

    • 10.9 China – Market size and forecast 2024-2029

    • 10.10 UK – Market size and forecast 2024-2029

    • 10.11 Germany – Market size and forecast 2024-2029

    • 10.12 Canada – Market size and forecast 2024-2029

    • 10.13 Japan – Market size and forecast 2024-2029

    • 10.14 India – Market size and forecast 2024-2029

    • 10.15 France – Market size and forecast 2024-2029

    • 10.16 Mexico – Market size and forecast 2024-2029

    • 10.17 Italy – Market size and forecast 2024-2029

    • 10.18 Market opportunity By Geographical Landscape

  • 11 Drivers, Challenges, and Opportunity/Restraints

  • 12 Competitive Landscape

  • 13 Competitive Analysis

    • 13.1 Companies profiled

    • 13.2 Company ranking index

    • 13.3 Market positioning of companies

    • 13.4 Adobe Inc.

    • 13.5 Alibaba Group Holding Ltd.

    • 13.6 Amazon Web Services Inc.

    • 13.7 BigCommerce Holdings Inc.

    • 13.8 COVEO

    • 13.9 Dynamic Yield Ltd.

    • 13.10 Google LLC

    • 13.11 International Business Machines Corp.

    • 13.12 Klevu

    • 13.13 Meta Platforms Inc.

    • 13.14 Microsoft Corp.

    • 13.15 Oracle Corp.

    • 13.16 Salesforce Inc.

    • 13.17 SAP SE

    • 13.18 Shopify Inc.

  • 14 Appendix

    • 14.1 Scope of the report

    • 14.2 Inclusions and exclusions checklist

    • 14.3 Currency conversion rates for US$

    • 14.4 Research methodology

    • 14.5 Data procurement

    • 14.6 Data validation

    • 14.7 Validation techniques employed for market sizing

    • 14.8 Data synthesis

    • 14.9 360 degree market analysis

    • 14.10 List of abbreviations

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