Industry Growth Insights published a new data on “Customer Analytics in E-commerce Market”. The research report is titled “Customer Analytics in E-commerce Market research by Types (Customer Characteristics Analysis, Analysis of Consumption Tendency, Profit Margin Analysis, Customer Loyalty Analysis, Risk Analysis, Potential Customer Analysis, Other), By Applications (Small and Medium Enterprises, Large Enterprises), By Players/Companies IBM, Hitachi ID Systems, Dell, Happiest Minds, Oracle Corporation, CA Technologies, ATOS, Centrify Corporation, Microsoft Corporation, UST, Empowerid, Onelogin and Trustwave”.
Scope Of The Report
Report Attributes
Report Details
Report Title
Customer Analytics in E-commerce Market Research Report
By Type
Customer Characteristics Analysis, Analysis of Consumption Tendency, Profit Margin Analysis, Customer Loyalty Analysis, Risk Analysis, Potential Customer Analysis, Other
By Application
Small and Medium Enterprises, Large Enterprises
By Companies
IBM, Hitachi ID Systems, Dell, Happiest Minds, Oracle Corporation, CA Technologies, ATOS, Centrify Corporation, Microsoft Corporation, UST, Empowerid, Onelogin and Trustwave
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
154
Number of Tables & Figures
108
Customization Available
Yes, the report can be customized as per your need.
Global Customer Analytics in E-commerce Market Report Segments:
The global Customer Analytics in E-commerce market is segmented on the basis of:
Types
Customer Characteristics Analysis, Analysis of Consumption Tendency, Profit Margin Analysis, Customer Loyalty Analysis, Risk Analysis, Potential Customer Analysis, Other
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Small and Medium Enterprises, Large Enterprises
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- IBM
- Hitachi ID Systems
- Dell
- Happiest Minds
- Oracle Corporation
- CA Technologies
- ATOS
- Centrify Corporation
- Microsoft Corporation
- UST
- Empowerid
- Onelogin and Trustwave
Highlights of The Customer Analytics in E-commerce Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Customer Characteristics Analysis
- Analysis of Consumption Tendency
- Profit Margin Analysis
- Customer Loyalty Analysis
- Risk Analysis
- Potential Customer Analysis
- Other
- By Application:
- Small and Medium Enterprises
- Large Enterprises
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Customer Analytics in E-commerce Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Customer analytics is the process of understanding and analyzing customer behavior in order to improve business performance. This can include everything from tracking customer interactions with your website and products, to understanding what customers are buying and why. By better understanding your customers, you can tailor your marketing efforts accordingly, as well as make more informed decisions about product development and pricing.
Some of the major players in the customer analytics in e-commerce market are IBM, Hitachi ID Systems, Dell, Happiest Minds, Oracle Corporation, CA Technologies, ATOS, Centrify Corporation, Microsoft Corporation, UST, Empowerid, Onelogin and Trustwave.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Customer Analytics in E-commerce Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Customer Analytics in E-commerce Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Customer Analytics in E-commerce Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Customer Analytics in E-commerce Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Customer Analytics in E-commerce Market Size & Forecast, 2018-2028 4.5.1 Customer Analytics in E-commerce Market Size and Y-o-Y Growth 4.5.2 Customer Analytics in E-commerce Market Absolute $ Opportunity
Chapter 5 Global Customer Analytics in E-commerce Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Customer Analytics in E-commerce Market Size Forecast by Type
5.2.1 Customer Characteristics Analysis
5.2.2 Analysis of Consumption Tendency
5.2.3 Profit Margin Analysis
5.2.4 Customer Loyalty Analysis
5.2.5 Risk Analysis
5.2.6 Potential Customer Analysis
5.2.7 Other
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Customer Analytics in E-commerce Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Customer Analytics in E-commerce Market Size Forecast by Applications
6.2.1 Small and Medium Enterprises
6.2.2 Large Enterprises
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Customer Analytics in E-commerce Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Customer Analytics in E-commerce Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Customer Analytics in E-commerce Analysis and Forecast
9.1 Introduction
9.2 North America Customer Analytics in E-commerce Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Customer Analytics in E-commerce Market Size Forecast by Type
9.6.1 Customer Characteristics Analysis
9.6.2 Analysis of Consumption Tendency
9.6.3 Profit Margin Analysis
9.6.4 Customer Loyalty Analysis
9.6.5 Risk Analysis
9.6.6 Potential Customer Analysis
9.6.7 Other
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Customer Analytics in E-commerce Market Size Forecast by Applications
9.10.1 Small and Medium Enterprises
9.10.2 Large Enterprises
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Customer Analytics in E-commerce Analysis and Forecast
10.1 Introduction
10.2 Europe Customer Analytics in E-commerce Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Customer Analytics in E-commerce Market Size Forecast by Type
10.6.1 Customer Characteristics Analysis
10.6.2 Analysis of Consumption Tendency
10.6.3 Profit Margin Analysis
10.6.4 Customer Loyalty Analysis
10.6.5 Risk Analysis
10.6.6 Potential Customer Analysis
10.6.7 Other
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Customer Analytics in E-commerce Market Size Forecast by Applications
10.10.1 Small and Medium Enterprises
10.10.2 Large Enterprises
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Customer Analytics in E-commerce Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Customer Analytics in E-commerce Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Customer Analytics in E-commerce Market Size Forecast by Type
11.6.1 Customer Characteristics Analysis
11.6.2 Analysis of Consumption Tendency
11.6.3 Profit Margin Analysis
11.6.4 Customer Loyalty Analysis
11.6.5 Risk Analysis
11.6.6 Potential Customer Analysis
11.6.7 Other
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Customer Analytics in E-commerce Market Size Forecast by Applications
11.10.1 Small and Medium Enterprises
11.10.2 Large Enterprises
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Customer Analytics in E-commerce Analysis and Forecast
12.1 Introduction
12.2 Latin America Customer Analytics in E-commerce Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Customer Analytics in E-commerce Market Size Forecast by Type
12.6.1 Customer Characteristics Analysis
12.6.2 Analysis of Consumption Tendency
12.6.3 Profit Margin Analysis
12.6.4 Customer Loyalty Analysis
12.6.5 Risk Analysis
12.6.6 Potential Customer Analysis
12.6.7 Other
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Customer Analytics in E-commerce Market Size Forecast by Applications
12.10.1 Small and Medium Enterprises
12.10.2 Large Enterprises
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Customer Analytics in E-commerce Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Customer Analytics in E-commerce Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Customer Analytics in E-commerce Market Size Forecast by Type
13.6.1 Customer Characteristics Analysis
13.6.2 Analysis of Consumption Tendency
13.6.3 Profit Margin Analysis
13.6.4 Customer Loyalty Analysis
13.6.5 Risk Analysis
13.6.6 Potential Customer Analysis
13.6.7 Other
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Customer Analytics in E-commerce Market Size Forecast by Applications
13.10.1 Small and Medium Enterprises
13.10.2 Large Enterprises
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Customer Analytics in E-commerce Market: Competitive Dashboard
14.2 Global Customer Analytics in E-commerce Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 IBM
14.3.2 Hitachi ID Systems
14.3.3 Dell
14.3.4 Happiest Minds
14.3.5 Oracle Corporation
14.3.6 CA Technologies
14.3.7 ATOS
14.3.8 Centrify Corporation
14.3.9 Microsoft Corporation
14.3.10 UST
14.3.11 Empowerid
14.3.12 Onelogin and Trustwave