Artificial Intelligence in E-commerce

Artificial Intelligence in E-commerce Market to Witness a Healthy Growth by 2030

The study investigates several elements and their consequences on the growth of artificial intelligence in e-commerce market.

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This report focuses on artificial intelligence in e-commerce market volume and value at the global level, regional level, and company level. From a global perspective, this report represents overall artificial intelligence in the e-commerce market size by analyzing historical data and future prospects. Regionally, this report focuses on several key regions: North America, Europe, Middle East & Africa, Latin America, etc.

The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2030. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

In-Depth Analysis on Competitive Landscape

The report sheds light on leading manufacturers of artificial intelligence in e-commerce, along with their detailed profiles. Essential and up-to-date data related to market performers who are principally engaged in the production of artificial intelligence in e-commerce has been brought with the help of a detailed dashboard view. Market share analysis and comparison of prominent players provided in the report permit report readers to take preemptive steps in advancing their businesses.

Company profiles have been included in the report, which includes essentials such as product portfolio, and key strategies, along with an all-inclusive SWOT analysis of each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the artificial intelligence in the e-commerce market.

Some of the prominent players in artificial intelligence in e-commerce market include:

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

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Segments Covered in the Report

By End User

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

Regional Segmentation

  • Asia-Pacific [China, Southeast Asia, India, Japan, Korea, Western Asia]
  • Europe [Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland]
  • North America [United States, Canada, Mexico]
  • South America [Brazil, Argentina, Columbia, Chile, Peru]
  • Middle East & Africa [GCC, North Africa, South Africa]

Some of the important ones are:

  • What can be the best investment choices for venturing into new product and service lines?
  • What value propositions should businesses aim at while making new research and development funding?
  • Which regulations will be most helpful for stakeholders to boost their supply chain network?
  • Which regions might see the demand maturing in certain segments in near future?
  • What are some of the best cost optimization strategies with vendors that some well-entrenched players have gained success with?
  • Which are the key perspectives that the C-suite is leveraging to move businesses to a new growth trajectory?
  • Which government regulations might challenge the status of key regional markets?
  • How will the emerging political and economic scenario affect opportunities in key growth areas?
  • What are some of the value-grab opportunities in various segments?
  • What will be the barrier to entry for new players in the market?

Table of Contents

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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