Artificial Intelligence in E-commerce Market Business Insights of Leading Players, Forecast 2022-2030

The global artificial intelligence in e-commerce market size is expected to rise with an impressive CAGR and generate the highest revenue by 2032.

The on artificial intelligence in e-commerce Market, which provides a business strategy, research & development activities, concise outline of the market valuation, valuable insights pertaining to market share, size, supply chain analysis, competitive landscape and regional proliferation of this industry.

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A recent report provides crucial insights along with application based and forecast information in the Global Artificial intelligence in e-commerce Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the Artificial intelligence in e-commerce market.

A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period.

Companies and Manufacturers Covered

The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analysed and prime business strategies and products that offer high revenue generation capacities were identified. Key players of the global Artificial intelligence in e-commerce market are included as given below:

Artificial intelligence in e-commerce Market Key Players

• Amazon Web Services, Inc.
• Apple Inc.
• Google LLC
• IBM Corporation
• Intel Corporation
• Microsoft Corporation
• Nvidia
• Oracle Corporation
• SAP SE
• Siemens

Market Segments

By End User

• IT and Telecommunication 
• Retail and E-Commerce 
• BFSI 
• Healthcare 
• Manufacturing 
• Automotive 
• Others 

By Geography

• North America
  • U.S.
  • Canada
• Europe
  • U.K.
  • Germany
  • France
• Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Malaysia
  • Philippines
• Latin America
  • Brazil
  • Rest of Latin America
• Middle East & Africa (MEA)
  • GCC
  • North Africa
  • South Africa
  • Rest of the Middle East & Africa

Report Objectives

• To define, describe, and forecast the global artificial intelligence in e-commerce market based on product, and region
• To provide detailed information regarding the major factors influencing the growth of the market (drivers, opportunities, and industry-specific challenges)
• To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
• To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
• To forecast the size of market segments with respect to four main regions—North America, Europe, Asia Pacific and the Rest of the World (RoW)2
• To strategically profile key players and comprehensively analyze their product portfolios, market shares, and core competencies3
• To track and analyze competitive developments such as acquisitions, expansions, new product launches, and partnerships in the artificial intelligence in e-commerce market

Table of Content

Chapter 1. Introduction

1.1.  Research Objective

1.2.  Scope of the Study

1.3.  Definition

Chapter 2. Research Methodology

2.1.  Research Approach

2.2.  Data Sources

2.3.  Assumptions & Limitations

Chapter 3. Executive Summary

3.1.  Market Snapshot

Chapter 4. Market Variables and Scope

4.1.  Introduction

4.2.  Market Classification and Scope

4.3.  Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5.   Market Dynamics Analysis and Trends

5.1.  Market Dynamics

5.1.1. Market Drivers

5.1.2. Market Restraints

5.1.3. Market Opportunities

5.2.  Porter’s Five Forces Analysis

5.2.1. Bargaining power of suppliers

5.2.2. Bargaining power of buyers

5.2.3. Threat of substitute

5.2.4. Threat of new entrants

5.2.5. Degree of competition

Chapter 6. Competitive Landscape

6.1.1. Company Market Share/Positioning Analysis

6.1.2. Key Strategies Adopted by Players

6.1.3. Vendor Landscape

6.1.3.1. List of Suppliers

6.1.3.2. List of Buyers

Chapter 7.   Global Artificial Intelligence in E-commerce Market, By Application

7.1. Artificial Intelligence in E-commerce Market, by Application, 2022-2030

7.1.1. IT and Telecommunication

7.1.1.1. Market Revenue and Forecast (2017-2030)

7.1.2. Retail and E-Commerce

7.1.2.1. Market Revenue and Forecast (2017-2030)

7.1.3. BFSI

7.1.3.1. Market Revenue and Forecast (2017-2030)

7.1.4. Healthcare

7.1.4.1. Market Revenue and Forecast (2017-2030)

7.1.5.Manufacturing

7.1.5.1. Market Revenue and Forecast (2017-2030)

7.1.6. Automotive

7.1.6.1. Market Revenue and Forecast (2017-2030)

7.1.7. Others

7.1.7.1. Market Revenue and Forecast (2017-2030)

Chapter 8. Global Artificial Intelligence in E-commerce Market, Regional Estimates and Trend Forecast

8.1.  North America

8.1.1. Market Revenue and Forecast, by Application (2017-2030)

8.1.2. U.S.

8.1.3. Rest of North America

8.1.3.1. Market Revenue and Forecast, by Application (2017-2030)

8.2.  Europe

8.2.1. Market Revenue and Forecast, by Application (2017-2030)

8.2.2.  UK

8.2.2.1. Market Revenue and Forecast, by Application (2017-2030)

8.2.3. France

8.2.3.1. Market Revenue and Forecast, by Application (2017-2030)

8.2.4. Rest of Europe

8.2.4.1. Market Revenue and Forecast, by Application (2017-2030)

8.3.  APAC

8.3.1. Market Revenue and Forecast, by Application (2017-2030)

8.3.2. India

8.3.2.1. Market Revenue and Forecast, by Application (2017-2030)

8.3.3. China

8.3.3.1. Market Revenue and Forecast, by Application (2017-2030)

8.3.4.  Japan

8.3.4.1. Market Revenue and Forecast, by Application (2017-2030)

8.3.5. Rest of APAC

8.3.5.1. Market Revenue and Forecast, by Application (2017-2030)

8.4. MEA

8.4.1. Market Revenue and Forecast, by Application (2017-2030)

8.4.2. GCC

8.4.2.1. Market Revenue and Forecast, by Application (2017-2030)

8.4.3. North Africa

8.4.3.1. Market Revenue and Forecast, by Application (2017-2030)

8.4.4. South Africa

8.4.4.1. Market Revenue and Forecast, by Application (2017-2030)

8.4.5. Rest of MEA

8.4.5.1. Market Revenue and Forecast, by Application (2017-2030)

8.5.  Latin America

8.5.1. Market Revenue and Forecast, by Application (2017-2030)

8.5.2. Brazil

8.5.2.1. Market Revenue and Forecast, by Application (2017-2030)

8.5.3. Rest of LATAM

8.5.3.1. Market Revenue and Forecast, by Application (2017-2030)

Chapter 9. Company Profiles

9.1.  Amazon Web Services, Inc.

9.1.1. Company Overview

9.1.2. Product Offerings

9.1.3.  Financial Performance

9.1.4. Recent Initiatives

9.2.  Apple Inc.

9.2.1. Company Overview

9.2.2. Product Offerings

9.2.3. Financial Performance

9.2.4. Recent Initiatives

9.3.  Google LLC

9.3.1. Company Overview

9.3.2. Product Offerings

9.3.3. Financial Performance

9.3.4. Recent Initiatives

9.4.  IBM Corporation

9.4.1. Company Overview

9.4.2. Product Offerings

9.4.3. Financial Performance

9.4.4. Recent Initiatives

9.5.  Intel Corporation

9.5.1. Company Overview

9.5.2. Product Offerings

9.5.3. Financial Performance

9.5.4. Recent Initiatives

9.6. Microsoft Corporation

9.6.1. Company Overview

9.6.2.Product Offerings

9.6.3. Financial Performance

9.6.4. Recent Initiatives

9.7.  Nvidia

9.7.1. Company Overview

9.7.2. Product Offerings

9.7.3. Financial Performance

9.7.4. Recent Initiatives

9.8. Oracle Corporation

9.8.1. Company Overview

9.8.2. Product Offerings

9.8.3. Financial Performance

9.8.4. Recent Initiatives

9.9.  SAP SE

9.9.1. Company Overview

9.9.2. Product Offerings

9.9.3. Financial Performance

9.9.4. Recent Initiatives

9.10.  Siemens

9.10.1. Company Overview

9.10.2. Product Offerings

9.10.3. Financial Performance

9.10.4. Recent Initiatives

Chapter 10.  Research Methodology

10.1. Primary Research

10.2. Secondary Research

10.3. Assumptions

Chapter 11.  Appendix

11.1. About Us

11.2. Glossary of Terms

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