Global Big Data In E-commerce Market Forecast 2020-2028

Global Big Data In E-commerce Market Forecast 2020-2028

The global big data in e-commerce market is projected to record growth at a CAGR of 14.17% during the forecasted period, 2020-2028. The estimated factors impacting the growth of the market are the increasing inclination towards several online payment methods, the use of data for enhanced customer service and sales, and the utilization of big data by e-commerce companies for driving product customizations.

Big data is instrumental in identifying and evaluating the target audience, and their preferences and demands. All business organizations need valuable data and insights for the functioning of their business operations. The anticipation and the identification of the customer needs is beneficial for the enterprises for their business and revenue goals, since analyzing the customer patterns leads to higher traffic and sales. The crucial information, like delivery information, inventory, payment data, and sales data, are necessary for the effective operation of the e-commerce business. The integration of big data aids in getting access to voluminous data, which further helps in maximizing revenue generation and acquiring the aforementioned crucial information. As a result, there has been an increase in the adoption of big data by the companies. Such factors drive the growth of the big data in e-commerce market. However, privacy concerns hinder the growth of the market. The competitive nature of the market is deemed to be an oligopoly, with few major players dominating the market.

The global big data in e-commerce market is geographically categorized into Europe, North America, Asia Pacific, and the rest of the world. With the largest revenue share as of 2019, the Asia Pacific region is also evaluated to the fastest-growing market region during the forecast period. The growth prospects are attributed to the rising adoption of technology and the expanding e-commerce applications in countries like China. Also, the organizations of the several countries of the market region are increasingly implementing big data solutions in their business processes.

Some of the well-known companies having their operations in the market include SAS Institute, Data USA, International Business Machines Corporation (IBM), Amazon Web Services Inc, Microsoft Corporation, etc

Our report offerings include:
• Explore key findings of the overall market
• Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
• Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
• Market Segmentation cater to a thorough assessment of key segments with their market estimations
• Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
• Key analytics: Porter's Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
• Competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
• Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments

1. Research Scope & Methodology
1.1. Study Objectives
1.2. Scope Of Study
1.3. Methodology
1.4. Assumptions & Limitations
2. Executive Summary
2.1. Market Size & Estimates
2.2. Market Overview
3. Market Dynamics
3.1. Parent Market Analysis: Big Data Market
3.2. Development Of Big Data
3.3. Market Definition
3.4. Key Drivers
3.4.1. Utilization Of Big Data For Improving Sales & Customer Satisfaction
3.4.2. Use Of Big Data By E-commerce Companies To Drive Product Customizations
3.4.3. Growing Inclination Towards Various Online Payment Methods
3.5. Key Restraints
3.5.1. Shortage Of Trained Big Data Experts
3.5.2. Concerns Related To Data Accuracy & Privacy
4. Key Analytics
4.1. Key Investment Insights
4.2. Porter’s Five Force Analysis
4.2.1. Buyer Power
4.2.2. Supplier Power
4.2.3. Substitution
4.2.4. New Entrants
4.2.5. Industry Rivalry
4.3. Opportunity Matrix
4.4. Vendor Landscape
4.5. Value Chain Analysis
5. Market By Component
5.1. Software
5.2. Hardware
6. Market By Deployment Model
6.1. Cloud Based
6.1.1. Private Cloud
6.1.2. Public Cloud
6.2. On-premises
7. Market By Type
7.1. Structured
7.2. Unstructured
7.3. Semi-structured
8. Market By Solution
8.1. Content Analytics
8.2. Customer Analytics
8.3. Fraud Detection
8.4. Risk Management
9. Market By End-user
9.1. Online Classified
9.2. Online Education
9.3. Online Financial
9.3.1. Banking Services/Wallets
9.3.2. Financial Services
9.4. Online Retail
9.5. Online Travel And Leisure
9.6. Other End-users
10. Geographical Analysis
10.1. North America
10.1.1. United States
10.1.2. Canada
10.2. Europe
10.2.1. United Kingdom
10.2.2. Germany
10.2.3. France
10.2.4. Italy
10.2.5. Russia
10.2.6. Belgium
10.2.7. Poland
10.2.8. Rest Of Europe
10.3. Asia Pacific
10.3.1. China
10.3.2. Japan
10.3.3. India
10.3.4. South Korea
10.3.5. Indonesia
10.3.6. Thailand
10.3.7. Vietnam
10.3.8. Australia & New Zealand
10.3.9. Rest Of Asia Pacific
10.4. Rest Of World
10.4.1. Latin America
10.4.2. Middle East & Africa
11. Company Profiles
11.1. Amazon Web Services Inc
11.2. Cloudera Inc
11.3. Data Usa
11.4. Dell Inc
11.5. Guavus Inc
11.6. Hewlett Packard Enterprise Company
11.7. Hitachi Ltd
11.8. International Business Machines Corporation (Ibm)
11.9. Microsoft Corporation
11.10. Oracle Corporation
11.11. Palantir Technologies
11.12. Sap Se
11.13. Sas Institute
11.14. Splunk Inc
11.15. Teradata Corporation

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