+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)
New

Asia-Pacific AI Shopping Assistant Market Size, Share & Industry Analysis Report by Offering, Technology, End-use, Type, Country and Growth Forecast, 2025-2032

  • PDF Icon

    Report

  • 200 Pages
  • August 2025
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6166799
The Asia-Pacific AI Shopping Assistant Market is expected to witness market growth of 26.7% CAGR during the forecast period (2025-2032).

The China market dominated the Asia-Pacific AI Shopping Assistant Market by country in 2024, and is expected to continue to be a dominant market till 2032; thereby, achieving a market value of $1.34 billion by 2032. The Japan market is registering a CAGR of 25.8% during 2025-2032. Additionally, the India market is expected to showcase a CAGR of 27.4% during 2025-2032. The China and India led the Asia-Pacific AI Shopping Assistant Market by Country with a market share of 30.5% and 19.6% in 2024. The Singapore market is expected to witness a CAGR of 28.9% during throughout the forecast period.



The Asia-Pacific region has become a global leader in AI-powered shopping assistants due to widespread consumer adoption, local innovation, and government-backed digital initiatives. Virtual assistant integration across e-commerce platforms, mobile apps, and physical stores is made possible by the prioritization of AI development and smart retail infrastructure by nations like China, India, Singapore, South Korea, and Japan. Some noteworthy innovations are India's AI chatbots that facilitate conversational commerce, Taiwan's Perfect Corp AI/AR virtual try-on tools, and Alibaba's Ali Genie voice-enabled shopping platform. Basic chatbots have been transformed into sophisticated AI agents that can comprehend intent, context, and emotion thanks to developments in cloud computing, 5G, and multilingual natural language processing. These developments have also made personalized recommendations, smooth customer support, and dynamic content creation possible.

Emerging generative AI for hyper-personalization, AI's convergence with social and live commerce, and omnichannel integration to produce dependable and engaging shopping experiences are some of the region's major trends. Prominent companies use tactics like integrating AI into already-existing retail ecosystems, collaborating with cloud service providers, and adapting solutions to local regulations, linguistic norms, and cultural norms. Thanks to advancements in voice search, image-based product discovery, real-time translation, and emotional recognition, the market is characterized by a dynamic mix of tech giants, niche startups, and traditional retailers. Providing intelligent, seamless, and culturally relevant shopping experiences that satisfy the demands of tech-savvy customers is essential to success in this fiercely competitive market.

Offering Outlook

Based on Offering, the market is segmented into Solution, and Services. With a compound annual growth rate (CAGR) of 28.4% over the projection period, the Solution Market, dominate the Singapore AI Shopping Assistant Market by Offering in 2024 and would be a prominent market until 2032. The Services market is expected to witness a CAGR of 29.9% during 2025-2032.



Technology Outlook

Based on Technology, the market is segmented into Natural Language Processing (NLP), Machine Learning (ML), Computer Vision (CV), and Other Technology. The Natural Language Processing (NLP) market segment dominated the Japan AI Shopping Assistant Market by Technology is expected to grow at a CAGR of 25 % during the forecast period thereby continuing its dominance until 2032. Also, The Computer Vision (CV) market is anticipated to grow as a CAGR of 26.6 % during the forecast period during 2025-2032.

Country Outlook

A tech-first retail ecosystem, a strong digital payment infrastructure, and encouraging government initiatives like the "New Generation Artificial Intelligence Development Plan" have made China's AI shopping assistant market one of the most developed in Asia-Pacific. From simple chatbots, AI assistants have developed into multipurpose agents that can handle livestream co-hosting, personalized recommendations, payment navigation, customer service, and even virtual influencer roles. Super apps like WeChat and Alipay, which provide real-time data-driven personalization and seamless online and offline shopping experiences, are driving growth. Autonomous product curation, gamified discovery, and voice-activated systems for senior citizens are among the trends. Meanwhile, Alibaba, JD.com, Tencent, Baidu, and enterprise solutions from Huawei and iFLYTEK, as well as specialized startups, dominate the competition. China is now a global leader in AI-powered retail innovation thanks to localized LLMs like ERNIE Bot and Tongyi Qianwen, which further improve AI assistants' abilities across languages and cultural contexts.

List of Key Companies Profiled

  • Amazon.com, Inc.
  • Google LLC
  • Shopify Inc.
  • Salesforce, Inc.
  • Apple, Inc.
  • Microsoft Corporation
  • Alibaba Group Holding Limited
  • eBay, Inc.
  • Adobe, Inc.
  • Walmart, Inc.

Market Report Segmentation

By Offering

  • Solution
  • Services

By Technology

  • Natural Language Processing (NLP)
  • Machine Learning (ML)
  • Computer Vision (CV)
  • Other Technology

By End-use

  • Retail & E-Commerce
  • BFSI
  • Healthcare
  • Travel & Hospitality
  • Media & Entertainment
  • Other End-use

By Type

  • Text
  • Voice
  • Multimodal
  • Visual

By Country

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia-Pacific

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific AI Shopping Assistant Market, by Offering
1.4.2 Asia Pacific AI Shopping Assistant Market, by Technology
1.4.3 Asia Pacific AI Shopping Assistant Market, by End-use
1.4.4 Asia Pacific AI Shopping Assistant Market, by Type
1.4.5 Asia Pacific AI Shopping Assistant Market, by Country
1.5 Methodology for the Research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Market Trends - AI Shopping Assistant MarketChapter 5. State of Competition - AI Shopping Assistant MarketChapter 6. Product Life Cycle - AI Shopping Assistant MarketChapter 7. Market Consolidation - AI Shopping Assistant Market
Chapter 8. Competition Analysis - Global
8.1 The Cardinal Matrix
8.2 Recent Industry Wide Strategic Developments
8.2.1 Partnerships, Collaborations and Agreements
8.2.2 Product Launches and Product Expansions
8.2.3 Acquisition and Mergers
8.3 Market Share Analysis, 2024
8.4 Top Winning Strategies
8.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
8.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2024, Feb - 2025, Jun) Leading Players
8.5 Porter Five Forces Analysis
Chapter 9. Value Chain Analysis - AI Shopping Assistant Market
9.1 Research & Development (R&D)
9.2 Data Acquisition & Management
9.3 AI Training & Model Optimization
9.4 Platform Development & Integration
9.5 User Interface (UX/UI) & Experience Design
9.6 Marketing & Go-to-Market (GTM)
9.7 Deployment & Customization
9.8 Operations & Support
9.9 Feedback Loop & Continuous Improvement
Chapter 10. Key Customer Criteria - AI Shopping Assistant Market
Chapter 11. Asia Pacific AI Shopping Assistant Market by Offering
11.1 Asia Pacific Solution Market by Country
11.2 Asia Pacific Services Market by Country
Chapter 12. Asia Pacific AI Shopping Assistant Market by Technology
12.1 Asia Pacific Natural Language Processing (NLP) Market by Country
12.2 Asia Pacific Machine Learning (ML) Market by Country
12.3 Asia Pacific Computer Vision (CV) Market by Country
12.4 Asia Pacific Other Technology Market by Country
Chapter 13. Asia Pacific AI Shopping Assistant Market by End-use
13.1 Asia Pacific Retail & E-Commerce Market by Country
13.2 Asia Pacific BFSI Market by Country
13.3 Asia Pacific Healthcare Market by Country
13.4 Asia Pacific Travel & Hospitality Market by Country
13.5 Asia Pacific Media & Entertainment Market by Country
13.6 Asia Pacific Other End-use Market by Country
Chapter 14. Asia Pacific AI Shopping Assistant Market by Type
14.1 Asia Pacific Text Market by Country
14.2 Asia Pacific Voice Market by Country
14.3 Asia Pacific Multimodal Market by Country
14.4 Asia Pacific Visual Market by Country
Chapter 15. Asia Pacific AI Shopping Assistant Market by Country
15.1 China AI Shopping Assistant Market
15.1.1 China AI Shopping Assistant Market by Offering
15.1.2 China AI Shopping Assistant Market by Technology
15.1.3 China AI Shopping Assistant Market by End-use
15.1.4 China AI Shopping Assistant Market by Type
15.2 Japan AI Shopping Assistant Market
15.2.1 Japan AI Shopping Assistant Market by Offering
15.2.2 Japan AI Shopping Assistant Market by Technology
15.2.3 Japan AI Shopping Assistant Market by End-use
15.2.4 Japan AI Shopping Assistant Market by Type
15.3 India AI Shopping Assistant Market
15.3.1 India AI Shopping Assistant Market by Offering
15.3.2 India AI Shopping Assistant Market by Technology
15.3.3 India AI Shopping Assistant Market by End-use
15.3.4 India AI Shopping Assistant Market by Type
15.4 South Korea AI Shopping Assistant Market
15.4.1 South Korea AI Shopping Assistant Market by Offering
15.4.2 South Korea AI Shopping Assistant Market by Technology
15.4.3 South Korea AI Shopping Assistant Market by End-use
15.4.4 South Korea AI Shopping Assistant Market by Type
15.5 Singapore AI Shopping Assistant Market
15.5.1 Singapore AI Shopping Assistant Market by Offering
15.5.2 Singapore AI Shopping Assistant Market by Technology
15.5.3 Singapore AI Shopping Assistant Market by End-use
15.5.4 Singapore AI Shopping Assistant Market by Type
15.6 Malaysia AI Shopping Assistant Market
15.6.1 Malaysia AI Shopping Assistant Market by Offering
15.6.2 Malaysia AI Shopping Assistant Market by Technology
15.6.3 Malaysia AI Shopping Assistant Market by End-use
15.6.4 Malaysia AI Shopping Assistant Market by Type
15.7 Rest of Asia Pacific AI Shopping Assistant Market
15.7.1 Rest of Asia Pacific AI Shopping Assistant Market by Offering
15.7.2 Rest of Asia Pacific AI Shopping Assistant Market by Technology
15.7.3 Rest of Asia Pacific AI Shopping Assistant Market by End-use
15.7.4 Rest of Asia Pacific AI Shopping Assistant Market by Type
Chapter 16. Company Profiles
16.1 Amazon.com, Inc.
16.1.1 Company Overview
16.1.2 Financial Analysis
16.1.3 Segmental Analysis
16.1.4 Recent Strategies and Developments
16.1.4.1 Product Launches and Product Expansions
16.1.4.2 Acquisition and Mergers
16.1.5 SWOT Analysis
16.2 Google LLC
16.2.1 Company Overview
16.2.2 Financial Analysis
16.2.3 Segmental and Regional Analysis
16.2.4 Research & Development Expenses
16.2.5 Recent Strategies and Developments
16.2.5.1 Product Launches and Product Expansions
16.2.6 SWOT Analysis
16.3 Shopify Inc.
16.3.1 Company Overview
16.3.2 Financial Analysis
16.3.3 Research & Development Expenses
16.3.4 Recent Strategies and Developments
16.3.4.1 Product Launches and Product Expansions
16.4 Salesforce, Inc.
16.4.1 Company Overview
16.4.2 Financial Analysis
16.4.3 Regional Analysis
16.4.4 Research & Development Expenses
16.4.5 Recent Strategies and Developments
16.4.5.1 Product Launches and Product Expansions
16.4.5.2 Acquisition and Mergers
16.4.6 SWOT Analysis
16.5 Apple, Inc.
16.5.1 Company Overview
16.5.2 Financial Analysis
16.5.3 Regional Analysis
16.5.4 Research & Development Expense
16.5.5 SWOT Analysis
16.6 Microsoft Corporation
16.6.1 Company Overview
16.6.2 Financial Analysis
16.6.3 Segmental and Regional Analysis
16.6.4 Research & Development Expenses
16.6.5 Recent Strategies and Developments
16.6.5.1 Partnerships, Collaborations, and Agreements
16.6.5.2 Product Launches and Product Expansions
16.6.6 SWOT Analysis
16.7 Alibaba Group Holding Limited
16.7.1 Company Overview
16.7.2 Financial Analysis
16.7.3 Segmental Analysis
16.7.4 Recent Strategies and Developments
16.7.4.1 Product Launches and Product Expansions
16.8 eBay, Inc.
16.8.1 Company Overview
16.8.2 Financial Analysis
16.8.3 Regional Analysis
16.8.4 Recent Strategies and Developments
16.8.4.1 Partnerships, Collaborations, and Agreements
16.8.4.2 Product Launches and Product Expansions
16.8.4.3 Acquisition and Mergers
16.8.5 SWOT Analysis
16.9 Adobe, Inc.
16.9.1 Company Overview
16.9.2 Financial Analysis
16.9.3 Segmental and Regional Analysis
16.9.4 Research & Development Expense
16.9.5 Recent Strategies and Developments
16.9.5.1 Partnerships, Collaborations, and Agreements
16.9.5.2 Product Launches and Product Expansions
16.9.6 SWOT Analysis
16.10. Walmart, Inc.
16.10.1 Company Overview
16.10.2 Financial Analysis
16.10.3 Segmental and Regional Analysis
16.10.4 Recent Strategies and Developments
16.10.4.1 Product Launches and Product Expansions
16.10.5 SWOT Analysis

Companies Mentioned

  • Amazon.com, Inc.
  • Google LLC
  • Shopify Inc.
  • Salesforce, Inc.
  • Apple, Inc.
  • Microsoft Corporation
  • Alibaba Group Holding Limited
  • eBay, Inc.
  • Adobe, Inc.
  • Walmart, Inc.