Big Data in E-commerce Market 2027 by Component, Type, Deployment, End Use and Geography | The Insight Partners

Big Data in E-commerce Market Forecast to 2027 - Covid-19 Impact and Global Analysis - by Component (Big Data Software in the E-commerce, Big Data Hardware in the E-commerce); Type (Structured Big Data in the E-commerce, Unstructured Big Data in the E-commerce, Semi-structured Big Data in the E-commerce); Deployment (Cloud-based, On-premises); End Use (Online Classifieds in the E-commerce, Online Education, Online Financials, Online Retail, Online Travel and Leisure, Other End Uses) and Geography

Report Code: TIPRE00007916 | No. of Pages: 150 | Category: Technology, Media and Telecommunications | Status: Upcoming
Covid
MARKET INTRODUCTION

The analytical competencies of big data have had a positive response across industries, including the E-commerce industry. Online retailers involve in developing services to link big data analytical tools to their businesses to total the resultant benefits. The use of big data in e-commerce simplifies and advances business performances by allowing companies to analyze historical trends and current consumer behavioral patterns and thereby offer improved and more modified products. The increasing demand for big data in e-commerce sector is expected to boost the growth of the market in the forecast period.

MARKET DYNAMICS

With the growth of online shopping, e-commerce, and high competition for customer loyalty, retailers are the major factors driving the growth of big data in e-commerce market. The application of big data in E-commerce allows businesses to get access to large volumes of data that they can use to redesign their procedures, actions, and maximize revenue generation. Companies these days are already vigorously using big data to study customer purchase patterns and preferences and to restructure their offerings to drive up sales, which will thereby boost the growth of the big data in e-commerce market.

MARKET SCOPE

The "Global Big Data in E-commerce Market Analysis to 2027" is a specialized and in-depth study of the Big data in e-commerce market with a special focus on the global market trend analysis. The report aims to provide an overview of Big data in e-commerce market with detailed market segmentation by component, type, deployment, end-user. The global Big data in e-commerce market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading Big data in e-commerce market players and offers key trends and opportunities in the Big data in e-commerce market.

MARKET SEGMENTATION

The global Big data in e-commerce market is segmented on the basis of component, type, deployment, end-user. On the basis of component, the market is segmented as big data software in the e-commerce, big data hardware in the e-commerce. On the basis of type, the market is segmented as structured big data in the e-commerce, unstructured big data in the e-commerce, semi-structured big data in the e-commerce. On the basis of deployment, the market is segmented as Cloud-based, On-premises. On the basis of end-user, the market is segmented as online classifieds in the e-commerce, online education, online financials, online retail, online travel and leisure, other end uses.



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REGIONAL FRAMEWORK


The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global Big data in e-commerce market based on various segments. It also provides market size and forecast estimates from year 2017 to 2027 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America. The Big data in e-commerce market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.

The report analyzes factors affecting Big data in e-commerce market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South America after evaluating political, economic, social and technological factors effecting the Big data in e-commerce market in these regions.



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MARKET PLAYERS


The reports cover key developments in the Big data in e-commerce market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for expansion of business and customer base of market players. The market players from Big data in e-commerce market are anticipated to lucrative growth opportunities in the future with the rising demand for Big data in e-commerce market. Below mentioned is the list of few companies engaged in the Big data in e-commerce market.

The report also includes the profiles of key Big data in e-commerce market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information of last 3 years, key development in past five years.

  •  Amazon Web Services, Inc.
  •  Data Inc.
  •  Dell Inc.
  •  Facebook
  •  Hitachi, Ltd.
  •  IBM Corp.
  •  Microsoft Corp.
  •  Oracle Corp.
  •  Palantir Technologies, Inc.
  •  SAS Institute Inc.

The Insight Partner's dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.


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TABLE OF CONTENTS

1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1 Big Data In E-commerce Market - By Component
1.3.2 Big Data In E-commerce Market - By Type
1.3.3 Big Data In E-commerce Market - By Deployment
1.3.4 Big Data In E-commerce Market - By End Use
1.3.5 Big Data In E-commerce Market - By Region
1.3.5.1 By Country

2. KEY TAKEAWAYS

3. RESEARCH METHODOLOGY

4. BIG DATA IN E-COMMERCE MARKET LANDSCAPE
4.1. OVERVIEW
4.2. PEST ANALYSIS
4.2.1 North America - Pest Analysis
4.2.2 Europe - Pest Analysis
4.2.3 Asia-Pacific - Pest Analysis
4.2.4 Middle East and Africa - Pest Analysis
4.2.5 South and Central America - Pest Analysis
4.3. ECOSYSTEM ANALYSIS
4.4. EXPERT OPINIONS

5. BIG DATA IN E-COMMERCE MARKET - KEY MARKET DYNAMICS
5.1. KEY MARKET DRIVERS
5.2. KEY MARKET RESTRAINTS
5.3. KEY MARKET OPPORTUNITIES
5.4. FUTURE TRENDS
5.5. IMPACT ANALYSIS OF DRIVERS, RESTRAINTS & EXPECTED INFLUENCE OF COVID-19 PANDEMIC

6. BIG DATA IN E-COMMERCE MARKET - GLOBAL MARKET ANALYSIS
6.1. BIG DATA IN E-COMMERCE - GLOBAL MARKET OVERVIEW
6.2. BIG DATA IN E-COMMERCE - GLOBAL MARKET AND FORECAST TO 2027
6.3. MARKET POSITIONING/MARKET SHARE

7. BIG DATA IN E-COMMERCE MARKET - REVENUE AND FORECASTS TO 2027 - COMPONENT
7.1. OVERVIEW
7.2. COMPONENT MARKET FORECASTS AND ANALYSIS
7.3. BIG DATA SOFTWARE IN THE E-COMMERCE
7.3.1. Overview
7.3.2. Big Data Software in the E-commerce Market Forecast and Analysis
7.4. BIG DATA HARDWARE IN THE E-COMMERCE
7.4.1. Overview
7.4.2. Big Data Hardware in the E-commerce Market Forecast and Analysis

8. BIG DATA IN E-COMMERCE MARKET - REVENUE AND FORECASTS TO 2027 - TYPE

8.1. OVERVIEW
8.2. TYPE MARKET FORECASTS AND ANALYSIS
8.3. STRUCTURED BIG DATA IN THE E-COMMERCE
8.3.1. Overview
8.3.2. Structured Big Data in the E-commerce Market Forecast and Analysis
8.4. UNSTRUCTURED BIG DATA IN THE E-COMMERCE
8.4.1. Overview
8.4.2. Unstructured Big Data in the E-commerce Market Forecast and Analysis
8.5. SEMI-STRUCTURED BIG DATA IN THE E-COMMERCE
8.5.1. Overview
8.5.2. Semi-structured Big Data in the E-commerce Market Forecast and Analysis

9. BIG DATA IN E-COMMERCE MARKET - REVENUE AND FORECASTS TO 2027 - DEPLOYMENT

9.1. OVERVIEW
9.2. DEPLOYMENT MARKET FORECASTS AND ANALYSIS
9.3. CLOUD-BASED
9.3.1. Overview
9.3.2. Cloud-based Market Forecast and Analysis
9.4. ON-PREMISES
9.4.1. Overview
9.4.2. On-premises Market Forecast and Analysis

10. BIG DATA IN E-COMMERCE MARKET - REVENUE AND FORECASTS TO 2027 - END USE

10.1. OVERVIEW
10.2. END USE MARKET FORECASTS AND ANALYSIS
10.3. ONLINE CLASSIFIEDS IN THE E-COMMERCE
10.3.1. Overview
10.3.2. Online Classifieds in the E-commerce Market Forecast and Analysis
10.4. ONLINE EDUCATION
10.4.1. Overview
10.4.2. Online Education Market Forecast and Analysis
10.5. ONLINE FINANCIALS
10.5.1. Overview
10.5.2. Online Financials Market Forecast and Analysis
10.6. ONLINE RETAIL
10.6.1. Overview
10.6.2. Online Retail Market Forecast and Analysis
10.7. ONLINE TRAVEL AND LEISURE
10.7.1. Overview
10.7.2. Online Travel and Leisure Market Forecast and Analysis
10.8. OTHER END USES
10.8.1. Overview
10.8.2. Other End Uses Market Forecast and Analysis

11. BIG DATA IN E-COMMERCE MARKET REVENUE AND FORECASTS TO 2027 - GEOGRAPHICAL ANALYSIS
11.1. NORTH AMERICA
11.1.1 North America Big Data In E-commerce Market Overview
11.1.2 North America Big Data In E-commerce Market Forecasts and Analysis
11.1.3 North America Big Data In E-commerce Market Forecasts and Analysis - By Component
11.1.4 North America Big Data In E-commerce Market Forecasts and Analysis - By Type
11.1.5 North America Big Data In E-commerce Market Forecasts and Analysis - By Deployment
11.1.6 North America Big Data In E-commerce Market Forecasts and Analysis - By End Use
11.1.7 North America Big Data In E-commerce Market Forecasts and Analysis - By Countries
11.1.7.1 United States Big Data In E-commerce Market
11.1.7.1.1 United States Big Data In E-commerce Market by Component
11.1.7.1.2 United States Big Data In E-commerce Market by Type
11.1.7.1.3 United States Big Data In E-commerce Market by Deployment
11.1.7.1.4 United States Big Data In E-commerce Market by End Use
11.1.7.2 Canada Big Data In E-commerce Market
11.1.7.2.1 Canada Big Data In E-commerce Market by Component
11.1.7.2.2 Canada Big Data In E-commerce Market by Type
11.1.7.2.3 Canada Big Data In E-commerce Market by Deployment
11.1.7.2.4 Canada Big Data In E-commerce Market by End Use
11.1.7.3 Mexico Big Data In E-commerce Market
11.1.7.3.1 Mexico Big Data In E-commerce Market by Component
11.1.7.3.2 Mexico Big Data In E-commerce Market by Type
11.1.7.3.3 Mexico Big Data In E-commerce Market by Deployment
11.1.7.3.4 Mexico Big Data In E-commerce Market by End Use
11.2. EUROPE
11.2.1 Europe Big Data In E-commerce Market Overview
11.2.2 Europe Big Data In E-commerce Market Forecasts and Analysis
11.2.3 Europe Big Data In E-commerce Market Forecasts and Analysis - By Component
11.2.4 Europe Big Data In E-commerce Market Forecasts and Analysis - By Type
11.2.5 Europe Big Data In E-commerce Market Forecasts and Analysis - By Deployment
11.2.6 Europe Big Data In E-commerce Market Forecasts and Analysis - By End Use
11.2.7 Europe Big Data In E-commerce Market Forecasts and Analysis - By Countries
11.2.7.1 Germany Big Data In E-commerce Market
11.2.7.1.1 Germany Big Data In E-commerce Market by Component
11.2.7.1.2 Germany Big Data In E-commerce Market by Type
11.2.7.1.3 Germany Big Data In E-commerce Market by Deployment
11.2.7.1.4 Germany Big Data In E-commerce Market by End Use
11.2.7.2 France Big Data In E-commerce Market
11.2.7.2.1 France Big Data In E-commerce Market by Component
11.2.7.2.2 France Big Data In E-commerce Market by Type
11.2.7.2.3 France Big Data In E-commerce Market by Deployment
11.2.7.2.4 France Big Data In E-commerce Market by End Use
11.2.7.3 Italy Big Data In E-commerce Market
11.2.7.3.1 Italy Big Data In E-commerce Market by Component
11.2.7.3.2 Italy Big Data In E-commerce Market by Type
11.2.7.3.3 Italy Big Data In E-commerce Market by Deployment
11.2.7.3.4 Italy Big Data In E-commerce Market by End Use
11.2.7.4 United Kingdom Big Data In E-commerce Market
11.2.7.4.1 United Kingdom Big Data In E-commerce Market by Component
11.2.7.4.2 United Kingdom Big Data In E-commerce Market by Type
11.2.7.4.3 United Kingdom Big Data In E-commerce Market by Deployment
11.2.7.4.4 United Kingdom Big Data In E-commerce Market by End Use
11.2.7.5 Russia Big Data In E-commerce Market
11.2.7.5.1 Russia Big Data In E-commerce Market by Component
11.2.7.5.2 Russia Big Data In E-commerce Market by Type
11.2.7.5.3 Russia Big Data In E-commerce Market by Deployment
11.2.7.5.4 Russia Big Data In E-commerce Market by End Use
11.2.7.6 Rest of Europe Big Data In E-commerce Market
11.2.7.6.1 Rest of Europe Big Data In E-commerce Market by Component
11.2.7.6.2 Rest of Europe Big Data In E-commerce Market by Type
11.2.7.6.3 Rest of Europe Big Data In E-commerce Market by Deployment
11.2.7.6.4 Rest of Europe Big Data In E-commerce Market by End Use
11.3. ASIA-PACIFIC
11.3.1 Asia-Pacific Big Data In E-commerce Market Overview
11.3.2 Asia-Pacific Big Data In E-commerce Market Forecasts and Analysis
11.3.3 Asia-Pacific Big Data In E-commerce Market Forecasts and Analysis - By Component
11.3.4 Asia-Pacific Big Data In E-commerce Market Forecasts and Analysis - By Type
11.3.5 Asia-Pacific Big Data In E-commerce Market Forecasts and Analysis - By Deployment
11.3.6 Asia-Pacific Big Data In E-commerce Market Forecasts and Analysis - By End Use
11.3.7 Asia-Pacific Big Data In E-commerce Market Forecasts and Analysis - By Countries
11.3.7.1 Australia Big Data In E-commerce Market
11.3.7.1.1 Australia Big Data In E-commerce Market by Component
11.3.7.1.2 Australia Big Data In E-commerce Market by Type
11.3.7.1.3 Australia Big Data In E-commerce Market by Deployment
11.3.7.1.4 Australia Big Data In E-commerce Market by End Use
11.3.7.2 China Big Data In E-commerce Market
11.3.7.2.1 China Big Data In E-commerce Market by Component
11.3.7.2.2 China Big Data In E-commerce Market by Type
11.3.7.2.3 China Big Data In E-commerce Market by Deployment
11.3.7.2.4 China Big Data In E-commerce Market by End Use
11.3.7.3 India Big Data In E-commerce Market
11.3.7.3.1 India Big Data In E-commerce Market by Component
11.3.7.3.2 India Big Data In E-commerce Market by Type
11.3.7.3.3 India Big Data In E-commerce Market by Deployment
11.3.7.3.4 India Big Data In E-commerce Market by End Use
11.3.7.4 Japan Big Data In E-commerce Market
11.3.7.4.1 Japan Big Data In E-commerce Market by Component
11.3.7.4.2 Japan Big Data In E-commerce Market by Type
11.3.7.4.3 Japan Big Data In E-commerce Market by Deployment
11.3.7.4.4 Japan Big Data In E-commerce Market by End Use
11.3.7.5 South Korea Big Data In E-commerce Market
11.3.7.5.1 South Korea Big Data In E-commerce Market by Component
11.3.7.5.2 South Korea Big Data In E-commerce Market by Type
11.3.7.5.3 South Korea Big Data In E-commerce Market by Deployment
11.3.7.5.4 South Korea Big Data In E-commerce Market by End Use
11.3.7.6 Rest of Asia-Pacific Big Data In E-commerce Market
11.3.7.6.1 Rest of Asia-Pacific Big Data In E-commerce Market by Component
11.3.7.6.2 Rest of Asia-Pacific Big Data In E-commerce Market by Type
11.3.7.6.3 Rest of Asia-Pacific Big Data In E-commerce Market by Deployment
11.3.7.6.4 Rest of Asia-Pacific Big Data In E-commerce Market by End Use
11.4. MIDDLE EAST AND AFRICA
11.4.1 Middle East and Africa Big Data In E-commerce Market Overview
11.4.2 Middle East and Africa Big Data In E-commerce Market Forecasts and Analysis
11.4.3 Middle East and Africa Big Data In E-commerce Market Forecasts and Analysis - By Component
11.4.4 Middle East and Africa Big Data In E-commerce Market Forecasts and Analysis - By Type
11.4.5 Middle East and Africa Big Data In E-commerce Market Forecasts and Analysis - By Deployment
11.4.6 Middle East and Africa Big Data In E-commerce Market Forecasts and Analysis - By End Use
11.4.7 Middle East and Africa Big Data In E-commerce Market Forecasts and Analysis - By Countries
11.4.7.1 South Africa Big Data In E-commerce Market
11.4.7.1.1 South Africa Big Data In E-commerce Market by Component
11.4.7.1.2 South Africa Big Data In E-commerce Market by Type
11.4.7.1.3 South Africa Big Data In E-commerce Market by Deployment
11.4.7.1.4 South Africa Big Data In E-commerce Market by End Use
11.4.7.2 Saudi Arabia Big Data In E-commerce Market
11.4.7.2.1 Saudi Arabia Big Data In E-commerce Market by Component
11.4.7.2.2 Saudi Arabia Big Data In E-commerce Market by Type
11.4.7.2.3 Saudi Arabia Big Data In E-commerce Market by Deployment
11.4.7.2.4 Saudi Arabia Big Data In E-commerce Market by End Use
11.4.7.3 U.A.E Big Data In E-commerce Market
11.4.7.3.1 U.A.E Big Data In E-commerce Market by Component
11.4.7.3.2 U.A.E Big Data In E-commerce Market by Type
11.4.7.3.3 U.A.E Big Data In E-commerce Market by Deployment
11.4.7.3.4 U.A.E Big Data In E-commerce Market by End Use
11.4.7.4 Rest of Middle East and Africa Big Data In E-commerce Market
11.4.7.4.1 Rest of Middle East and Africa Big Data In E-commerce Market by Component
11.4.7.4.2 Rest of Middle East and Africa Big Data In E-commerce Market by Type
11.4.7.4.3 Rest of Middle East and Africa Big Data In E-commerce Market by Deployment
11.4.7.4.4 Rest of Middle East and Africa Big Data In E-commerce Market by End Use
11.5. SOUTH AND CENTRAL AMERICA
11.5.1 South and Central America Big Data In E-commerce Market Overview
11.5.2 South and Central America Big Data In E-commerce Market Forecasts and Analysis
11.5.3 South and Central America Big Data In E-commerce Market Forecasts and Analysis - By Component
11.5.4 South and Central America Big Data In E-commerce Market Forecasts and Analysis - By Type
11.5.5 South and Central America Big Data In E-commerce Market Forecasts and Analysis - By Deployment
11.5.6 South and Central America Big Data In E-commerce Market Forecasts and Analysis - By End Use
11.5.7 South and Central America Big Data In E-commerce Market Forecasts and Analysis - By Countries
11.5.7.1 Brazil Big Data In E-commerce Market
11.5.7.1.1 Brazil Big Data In E-commerce Market by Component
11.5.7.1.2 Brazil Big Data In E-commerce Market by Type
11.5.7.1.3 Brazil Big Data In E-commerce Market by Deployment
11.5.7.1.4 Brazil Big Data In E-commerce Market by End Use
11.5.7.2 Argentina Big Data In E-commerce Market
11.5.7.2.1 Argentina Big Data In E-commerce Market by Component
11.5.7.2.2 Argentina Big Data In E-commerce Market by Type
11.5.7.2.3 Argentina Big Data In E-commerce Market by Deployment
11.5.7.2.4 Argentina Big Data In E-commerce Market by End Use
11.5.7.3 Rest of South and Central America Big Data In E-commerce Market
11.5.7.3.1 Rest of South and Central America Big Data In E-commerce Market by Component
11.5.7.3.2 Rest of South and Central America Big Data In E-commerce Market by Type
11.5.7.3.3 Rest of South and Central America Big Data In E-commerce Market by Deployment
11.5.7.3.4 Rest of South and Central America Big Data In E-commerce Market by End Use

12. INDUSTRY LANDSCAPE
12.1. MERGERS AND ACQUISITIONS
12.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
12.3. NEW PRODUCT LAUNCHES
12.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS

13. BIG DATA IN E-COMMERCE MARKET, KEY COMPANY PROFILES
13.1. AMAZON WEB SERVICES, INC.
13.1.1. Key Facts
13.1.2. Business Description
13.1.3. Products and Services
13.1.4. Financial Overview
13.1.5. SWOT Analysis
13.1.6. Key Developments
13.2. DATA INC.
13.2.1. Key Facts
13.2.2. Business Description
13.2.3. Products and Services
13.2.4. Financial Overview
13.2.5. SWOT Analysis
13.2.6. Key Developments
13.3. DELL INC.
13.3.1. Key Facts
13.3.2. Business Description
13.3.3. Products and Services
13.3.4. Financial Overview
13.3.5. SWOT Analysis
13.3.6. Key Developments
13.4. FACEBOOK
13.4.1. Key Facts
13.4.2. Business Description
13.4.3. Products and Services
13.4.4. Financial Overview
13.4.5. SWOT Analysis
13.4.6. Key Developments
13.5. HITACHI, LTD.
13.5.1. Key Facts
13.5.2. Business Description
13.5.3. Products and Services
13.5.4. Financial Overview
13.5.5. SWOT Analysis
13.5.6. Key Developments
13.6. IBM CORP.
13.6.1. Key Facts
13.6.2. Business Description
13.6.3. Products and Services
13.6.4. Financial Overview
13.6.5. SWOT Analysis
13.6.6. Key Developments
13.7. MICROSOFT CORP.
13.7.1. Key Facts
13.7.2. Business Description
13.7.3. Products and Services
13.7.4. Financial Overview
13.7.5. SWOT Analysis
13.7.6. Key Developments
13.8. ORACLE CORP.
13.8.1. Key Facts
13.8.2. Business Description
13.8.3. Products and Services
13.8.4. Financial Overview
13.8.5. SWOT Analysis
13.8.6. Key Developments
13.9. PALANTIR TECHNOLOGIES, INC.
13.9.1. Key Facts
13.9.2. Business Description
13.9.3. Products and Services
13.9.4. Financial Overview
13.9.5. SWOT Analysis
13.9.6. Key Developments
13.10. SAS INSTITUTE INC.
13.10.1. Key Facts
13.10.2. Business Description
13.10.3. Products and Services
13.10.4. Financial Overview
13.10.5. SWOT Analysis
13.10.6. Key Developments

14. APPENDIX
14.1. ABOUT THE INSIGHT PARTNERS
14.2. GLOSSARY OF TERMS
The List of Companies

1.Amazon Web Services, Inc.
2.Data Inc.
3.Dell Inc.
4.Facebook
5.Hitachi, Ltd.
6.IBM Corp.
7.Microsoft Corp.
8.Oracle Corp.
9.Palantir Technologies, Inc.
10.SAS Institute Inc.
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