Artificial Intelligence (AI) In E-commerce Market Size, Share, Opportunities, And Trends By Application (Personalization, Customer Service, Supply Chain Optimization, Fraud Prevention), By Offering (B2B, B2C, C2C, Omnichannel), By End-Users (Food and Beverages, Fashion & Apparel, Retail, Healthcare, Others), And By Geography - Forecasts From 2025 To 2030

Artificial Intelligence (AI) in E-commerce Market Size:

The Artificial Intelligence (AI) in E-Commerce Market is expected to grow at a CAGR of 16.17%, reaching a market size of US$19.380 billion in 2030 from US$9.160 billion in 2025.

Artificial intelligence in e-commerce refers to the use of AI technologies and techniques to enhance the online shopping experience, process, and outcomes for individuals or organizations. Key features of AI e-commerce include customer centricity, chatbots and virtual assistants, prediction, and dynamic pricing. It also ensures better customer engagement, providing e-commerce firms with specialized recommendations based on content, commercials, and marketing media oriented to customers’ preferences and behavioral patterns.

Intelligent virtual agents are chatbots and voice self-assist devices that perform many of the functions of a customer care executive, such as addressing customer queries, conducting product searches, and enhancing cross-communication throughout the customer journey. This enhances the customer journey, reduces turnaround times, and lowers costs for e-commerce businesses. Graphics and Predictive Analysis in Artificial Intelligence (AI) are accompanied by predicting financial and human resource management accounting demand, involving supply chain process control and risk management in e-commerce industries, and sales-related statistics collection and analysis.

Moreover, drawing on historical data and trends in the given industry, business enterprises in e-commerce would be able to avoid losses by stocking out products. E-commerce AI solutions streamline processes within the organization, enhance the experience of the clients, and speed up development in the very competitive web environment. Thus, e-commerce revolutionizes the ways of doing business and encourages creativity.

Artificial Intelligence (AI) in E-commerce Market Growth Drivers:

• Rising personalized shopping experiences are contributing to the AI in e-commerce market growth

AI recommendation engines can use the data and behavior of the user and other people to recommend products to the users. This leads to increased user interaction and purchase rates. Inordinate shopping experiences play a major part in AI in the e-commerce market growth, enhancing customer engagement, conversion, and loyalty for a particular brand. For instance, ZBrain is one of the industry's most significant and differentiating offerings, being a comprehensive generative AI system for building enterprise LLM-based applications from scratch. ZBrain’s real-life implementations of solutions can ease processes by carrying out some tasks, enhancing interactions with customers, and making strategic decisions.

Moreover, AI in e-commerce brings higher customer satisfaction, purchase rates, and the industry’s expansion as a whole due to an enhanced targeted and personalized shopping experience. With technological changes, personalization in e-commerce will become more tactical as online shoppers expect more dedicated and relevant services.

• Inventory management and demand forecasting are contributing to the AI in e-commerce market growth

The use of AI enables enhanced forecasting of demand and management of inventories so that inventory levels are maintained without incurring unnecessary costs in the management of surplus stock. Commerce AI, one of the offerings, enables merchandisers to easily use AI and other concepts and tools, leading to better efficiency and sales. The commerce concierge connects with chat applications and allows product searches, responses, and transactions to be carried out using words, images, and data.

• Rising technological advancements are contributing to the AI in e-commerce market

Over the years, many have viewed AI as a revenue-generating and operational efficiency enhancement tool. In the recent past, AI-based technology has been embraced by many small-scale e-commerce businesses. This appreciation for artificial intelligence and its related technologies has always been present at Amazon. The enormous e-commerce organization implements algorithms to accelerate transportation and improve customer service and a variety of products. The science of AI is concerned with understanding how human intelligence works and how this can be replicated in computers that can act intelligently. Most areas of research, engineering, education, business, etc., have also developed AI products and processes and applied them quite effectively.

Artificial Intelligence (AI) in E-commerce Market Restraints:

• Integration challenges are anticipated to hamper the market growth

The challenges of integrating AI technologies into existing e-commerce platforms and processes may be many and lengthy. Older systems may not work with modern AI applications, requiring expensive and inconvenient system modifications or even brand-new installations. Integration issues may postpone AI initiatives and increase costs, negatively affecting AI in the e-commerce market expansion.

Artificial Intelligence (AI) in E-commerce Market Geographical Outlook:

• North America is witnessing exponential growth during the forecast period

The North American market is expected to hold the largest share, as it is known for its technology-oriented creative business culture. It is home to some of the most rapidly expanding and existing tech giants, such as IBM, Salesforce, Meta, and Google, to mention a few. Such an environment promotes the growth and utilization of technology, including AI, in various industries such as e-commerce. The continent of North America possesses a well-developed digital infrastructure, such as high-speed internet. Still, a majority of the population is challenged with using smartphones and advanced means of payment. All these factors encourage both businesses and individuals to embrace AI-driven e-commerce systems.

Additionally, North America has a huge chunk of the e-commerce business globally, thanks to the large population that adheres to online shopping and the rapidly growing digital space. This allows several opportunities for AI e-commerce solution providers to enter the region and conquer the market.

Artificial Intelligence (AI) in E-commerce Market Key Developments:

• In September 2024, Amazon launched AI-powered resources to assist brands in producing more captivating content for their product pages. The A+ Content uses a generative AI feature to create narrative content and lifestyle images based on the seller's specified key product attribute.
• In March 2024, IBM launched Sterling Intelligent Promising Premium. Optimizing supply chain costs is essential for effective cost management and reliable maintenance. Throughout their purchasing process, customers expect openness and confidence. From discovery to delivery, their creative solution enables companies to use data, real-time systems, and machine learning (ML), enabling a digital transformation.

List of Top Artificial Intelligence (AI) in E-commerce Companies:

• BigCommerce Pty. Ltd
• Salesforce
• Appinventiv
• Kyndru
• LeewayHertz.

Artificial Intelligence (AI) in E-commerce Market Scope:

The Artificial Intelligence (AI) in e-commerce market is analyzed into the following segments:

• By Application
  • Personalization
  • Customer Service
  • Supply Chain Optimization
  • Fraud Prevention
• By Offering
  • B2B
  • B2C
  • C2C
  • Omnichannel
• By End-Users
  • Food and Beverages
  • Fashion & Apparel
  • Retail
  • Healthcare
  • Others
• By Geography
  • North America
    • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • Germany
    • France
    • UK
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Indonesia
    • Taiwan
    • Others

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1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base and Forecast Years Timeline

1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY  

2.1. Research Design

2.2. Research Processes

3. EXECUTIVE SUMMARY

3.1. Key Findings

3.2. CXO Perspective

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

4.5. Analyst View

5. AI IN E-COMMERCE MARKET BY APPLICATION

5.1. Introduction

5.2. Personalization

5.3. Customer Service

5.4. Supply Chain Optimization

5.5. Fraud Prevention

6. AI IN E-COMMERCE MARKET BY OFFERING

6.1. Introduction

6.2. B2B

6.3. B2C

6.4. C2C

6.5. Omnichannel

7. AI IN E-COMMERCE MARKET BY END-USERS

7.1. Introduction

7.2. Food and Beverages

7.3. Fashion & Apparel

7.4. Retail

7.5. Healthcare

7.6. Others

8. AI IN E-COMMERCE MARKET BY GEOGRAPHY

8.1. Introduction

8.2. North America

8.2.1. By Application

8.2.2. By Offering 

8.2.3. By End-Users

8.2.4. By Country

8.2.4.1. USA

8.2.4.2. Canada

8.2.4.3. Mexico

8.3. South America

8.3.1. By Application

8.3.2. By Offering 

8.3.3. By End-Users

8.3.4. By Country

8.3.4.1. Brazil

8.3.4.2. Argentina

8.3.4.3. Others

8.4. Europe

8.4.1. By Application

8.4.2. By Offering 

8.4.3. By End-Users

8.4.4. By Country

8.4.4.1. Germany

8.4.4.2. France

8.4.4.3. UK

8.4.4.4. Spain

8.4.4.5. Others

8.5. Middle East and Africa

8.5.1. By Application

8.5.2. By Offering 

8.5.3. By End-Users

8.5.4. By Country

8.5.4.1. Saudi Arabia

8.5.4.2. UAE

8.5.4.3. Israel

8.5.4.4. Others

8.6. Asia Pacific

8.6.1. By Application

8.6.2. By Offering 

8.6.3. By End-Users

8.6.4. By Country

8.6.4.1. China

8.6.4.2. Japan

8.6.4.3. India

8.6.4.4. South Korea

8.6.4.5. Indonesia

8.6.4.6. Taiwan

8.6.4.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

9.1. Major Players and Strategy Analysis

9.2. Market Share Analysis

9.3. Mergers, Acquisitions, Agreements, and Collaborations

9.4. Competitive Dashboard

10. COMPANY PROFILES

10.1. BigCommerce Pty. Ltd

10.2. Salesforce

10.3. Appinventiv

10.4. Kyndru

10.5. LeewayHertz.

10.6. Kyndryl

10.7. AltexSoft

10.8. Toloka

10.9. Virto Commerce

List of Tables

Table 1: Research Assumptions

Table 2: AI in E-Commerce Market, Key Findings

Table 3: AI in E-Commerce Market, By Application, USD Billion, 2020 to 2030

Table 4: AI in E-Commerce Market, By Offering, USD Billion, 2020 to 2030

Table 5: AI in E-Commerce Market, By End-Users, USD Billion, 2020 to 2030

Table 6: AI in E-Commerce Market, By Geography, USD Billion, 2020 to 2030

Table 7: North America AI in E-Commerce Market, By Application, USD Billion, 2020 to 2030

Table 8: North America AI in E-Commerce Market, By Offering, USD Billion, 2020 to 2030

Table 9: North America AI in E-Commerce Market, By End-Users, USD Billion, 2020 to 2030

Table 10: North America AI in E-Commerce Market, By Country, USD Billion, 2020 to 2030

Table 11: South America AI in E-Commerce Market, By Application, USD Billion, 2020 to 2030

Table 12: South America AI in E-Commerce Market, By Offering, USD Billion, 2020 to 2030

Table 13: South America AI in E-Commerce Market, By End-Users, USD Billion, 2020 to 2030

Table 14: South America AI in E-Commerce Market, By Country, USD Billion, 2020 to 2030

Table 15: Europe AI in E-Commerce Market, By Application, USD Billion, 2020 to 2030

Table 16: Europe AI in E-Commerce Market, By Offering, USD Billion, 2020 to 2030

Table 17: Europe AI in E-Commerce Market, By End-Users, USD Billion, 2020 to 2030

Table 18: Europe AI in E-Commerce Market, By Country, USD Billion, 2020 to 2030

Table 19: Middle East and Africa AI in E-Commerce Market, By Application, USD Billion, 2020 to 2030

Table 20: Middle East and Africa AI in E-Commerce Market, By Offering, USD Billion, 2020 to 2030

Table 21: Middle East and Africa AI in E-Commerce Market, By End-Users, USD Billion, 2020 to 2030

Table 22: Middle East and Africa AI in E-Commerce Market, By Country, USD Billion, 2020 to 2030

Table 23: Asia Pacific AI in E-Commerce Market, By Application, USD Billion, 2020 to 2030

Table 24: Asia Pacific AI in E-Commerce Market, By Offering, USD Billion, 2020 to 2030

Table 25: Asia Pacific AI in E-Commerce Market, By End-Users, USD Billion, 2020 to 2030

Table 26: Asia Pacific AI in E-Commerce Market, By Country, USD Billion, 2020 to 2030

Table 27: AI in E-Commerce Market, Strategy Analysis of Major Players

Table 28: AI in E-Commerce Market, Mergers, Acquisitions, Agreements, and Collaborations

Table 29: AI in E-Commerce Market, Policies and Regulations

Table 30: BigCommerce Pty. Ltd, Products and Services

Table 31: Salesforce, Products and Services

Table 32: Appinventiv, Products and Services

Table 33: Kyndru, Products and Services

Table 34: LeewayHertz, Products and Services

Table 35: Kyndryl, Products and Services

Table 36: AltexSoft, Products and Services

Table 37: Toloka, Products and Services

Table 38: Virto Commerce, Products and Services

List of Figures

Figure 1: AI in E-Commerce Market Size, USD Billion, 2020 to 2030

Figure 2: AI in E-Commerce Market Segmentation

Figure 3: Key Market Drivers Impact Analysis

Figure 4: Key Market Restraints Impact Analysis

Figure 5: Porter’s Five Forces Analysis: Bargaining Power of Suppliers

Figure 6: Porter’s Five Forces Analysis: Bargaining Power of Buyers

Figure 7: Porter’s Five Forces Analysis: Threat of New Entrants

Figure 8: Porter’s Five Forces Analysis: Threat of Substitutes

Figure 9: Porter’s Five Forces Analysis: Competitive Rivalry in the Industry

Figure 10: AI in E-Commerce Market, Industry Value Chain Analysis

Figure 11: AI in E-Commerce Market, Policies and Regulations

Figure 12: AI in E-Commerce Market Share (%), By Application, 2025 and 2030

Figure 13: AI in E-Commerce Market Attractiveness by Application, 2030

Figure 14: AI in E-Commerce Market, By Application, Personalization, USD Billion, 2020 to 2030

Figure 15: AI in E-Commerce Market, By Application, Customer Service, USD Billion, 2020 to 2030

Figure 16: AI in E-Commerce Market, By Application, Supply Chain Optimization, USD Billion, 2020 to 2030

Figure 17: AI in E-Commerce Market, By Application, Fraud Prevention, USD Billion, 2020 to 2030

Figure 18: AI in E-Commerce Market Share (%), By Offering, 2025 and 2030

Figure 19: AI in E-Commerce Market Attractiveness by Offering, 2030

Figure 20: AI in E-Commerce Market, By Offering, B2B, USD Billion, 2020 to 2030

Figure 21: AI in E-Commerce Market, By Offering, B2C, USD Billion, 2020 to 2030

Figure 22: AI in E-Commerce Market, By Offering, C2C, USD Billion, 2020 to 2030

Figure 23: AI in E-Commerce Market, By Offering, Omnichannel, USD Billion, 2020 to 2030

Figure 24: AI in E-Commerce Market Share (%), By End-Users, 2025 and 2030

Figure 25: AI in E-Commerce Market Attractiveness by End-Users, 2030

Figure 26: AI in E-Commerce Market, By End-Users, Food and Beverages, USD Billion, 2020 to 2030

Figure 27: AI in E-Commerce Market, By End-Users, Fashion & Apparel, USD Billion, 2020 to 2030

Figure 28: AI in E-Commerce Market, By End-Users, Retail, USD Billion, 2020 to 2030

Figure 29: AI in E-Commerce Market, By End-Users, Healthcare, USD Billion, 2020 to 2030

Figure 30: AI in E-Commerce Market, By End-Users, Others, USD Billion, 2020 to 2030

Figure 31: AI in E-Commerce Market Share (%), By Geography, 2025 and 2030

Figure 32: AI in E-Commerce Market Attractiveness by Geography, 2030

Figure 33: North America AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 34: North America AI in E-Commerce Market Share (%), By Country, 2025 and 2030

Figure 35: North America AI in E-Commerce Market Attractiveness, By Country, 2030

Figure 36: USA AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 37: Canada AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 38: Mexico AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 39: South America AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 40: South America AI in E-Commerce Market Share (%), By Country, 2025 and 2030

Figure 41: South America AI in E-Commerce Market Attractiveness, By Country, 2030

Figure 42: Brazil AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 43: Argentina AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 44: South America (Others) AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 45: Europe AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 46: Europe AI in E-Commerce Market Share (%), By Country, 2025 and 2030

Figure 47: Europe AI in E-Commerce Market Attractiveness, By Country, 2030

Figure 48: Germany AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 49: France AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 50: UK AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 51: Spain AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 52: Europe (Others) AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 53: Middle East and Africa AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 54: Middle East and Africa AI in E-Commerce Market Share (%), By Country, 2025 and 2030

Figure 55: Middle East and Africa AI in E-Commerce Market Attractiveness, By Country, 2030

Figure 56: Saudi Arabia AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 57: UAE AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 58: Israel AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 59: Middle East and Africa (Others) AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 60: Asia Pacific AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 61: Asia Pacific AI in E-Commerce Market Share (%), By Country, 2025 and 2030

Figure 62: Asia Pacific AI in E-Commerce Market Attractiveness, By Country, 2030

Figure 63: China AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 64: Japan AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 65: India AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 66: South Korea AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 67: Indonesia AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 68: Taiwan AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 69: Asia Pacific (Others) AI in E-Commerce Market, USD Billion, 2020 to 2030

Figure 70: AI in E-Commerce Market Share, 2025

Figure 71: Competitive Dashboard

Figure 72: BigCommerce Pty. Ltd, Financials, 2022-2024

Figure 73: Salesforce, Financials, 2022-2024

Figure 74: Appinventiv, Financials, 2022-2024

Figure 75: Kyndru, Financials, 2022-2024

Figure 76: LeewayHertz, Financials, 2022-2024

Figure 77: Kyndryl, Financials, 2022-2024

Figure 78: AltexSoft, Financials, 2022-2024

Figure 79: Toloka, Financials, 2022-2024

Figure 80: Virto Commerce, Financials, 2022-2024

BigCommerce Pty. Ltd

Salesforce

Appinventiv

Kyndru

LeewayHertz.

Kyndryl

AltexSoft

Toloka

Virto Commerce