Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Customer Analytics in E-commerce 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) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Customer Analytics in E-commerce 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) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 237244 4200 Service & Software 377 154 Pages 4.8 (46)
                                          

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 Industry Outlook


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:

  1. IBM
  2. Hitachi ID Systems
  3. Dell
  4. Happiest Minds
  5. Oracle Corporation
  6. CA Technologies
  7. ATOS
  8. Centrify Corporation
  9. Microsoft Corporation
  10. UST
  11. Empowerid
  12. Onelogin and Trustwave

Global Customer Analytics in E-commerce Market Overview


Highlights of The Customer Analytics in E-commerce Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Customer Characteristics Analysis
    2. Analysis of Consumption Tendency
    3. Profit Margin Analysis
    4. Customer Loyalty Analysis
    5. Risk Analysis
    6. Potential Customer Analysis
    7. Other
  1. By Application:

    1. Small and Medium Enterprises
    2. Large Enterprises
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. 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

Global Customer Analytics in E-commerce Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. 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

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