by Precedence Research a new report on artificial intelligence in e-commerce market size, share, growth, industry trends, and forecast 2030, covering various industry elements and growth trends helpful for predicting the market’s future.
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The global artificial intelligence in e-commerce market report offers various segments analysis by size, trends, growth factors, opportunities and key country outlook to 2030. The report offers a detailed analysis and information as per artificial intelligence in e-commerce, market segments helping our readers to get a comprehensive overview of the global market. Several players are planning to focus on developing cost-effective products or services, aiming to maintain a strong foothold in the market.
The company profiling of leading market players is included this report with Porter’s five forces analysis and Value Chain analysis. Further, the strategies exercised by the companies for expansion of business through mergers, acquisitions, and other business development measures are discussed in the report. The financial parameters which are assessed include the sales, profits and the overall revenue generated by the key players of Market.
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Some of the prominent players in the 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
Artificial Intelligence in E-commerce Market Segmentation
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]
Key Questions are
- What are the key factors influencing the artificial intelligence in e-commerce market in each region?
- How much value will the global market generate by the end of the forecast period?
- What will be the CAGR of the global market between 2022 and 2030?
- What would be the Y-o-Y growth trend of the global market between 2022 and 2030?
- What is the future scope and current trends in technologies of the global market?
- What is the revenue of the global market based on segments?
- Which key strategies are used by top players of the global market?
- Which are the leading companies in the global market?
- What are the essential strategies by key stakeholders in the market to expand their geographic presence?
- What are the major advancements witnessed in the global market?
Research Objectives and Research Approach
The comprehensive report on the global artificial intelligence in e-commerce market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products. Following this, the report provides detailed explanation of objectives of this study and laid down by accredited agencies in the purview of research in the global artificial intelligence in e-commerce market.
It is followed by market introduction, market dynamics, and an overview of the global market, which includes analysis of market drivers, restraints, and trends pertaining to the global market. Furthermore, Y-o-Y growth analysis with elaborated insights has been provided in order to understand the Y-o-Y growth trend of the global market.
For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller sections. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.
The report analyzes the global artificial intelligence in e-commerce market in terms of type, application, region and others. Key segments under each criteria are studied at length, and the market share for each of these at the end of 2030 has also been provided. Such valuable insights enable market stakeholders in making informed business decisions for investment in the global market.
Why should you invest in this report?
If you are aiming to enter the global artificial intelligence in e-commerce market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for artificial intelligence in e-commerce are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030 so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
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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