Customer Analytics in E-commerce Market Size and Forecasts (2021 - 2031), Global and Regional Share, Trends, and Growth Opportunity Analysis
In e-commerce, customer analytics refers to the collection of data pointers that are examined to determine what existing customers and prospects are interacting with, as well as to generate insights into why and how the interaction is taking place. The interpretation of this data aids e-commerce enterprises in determining exactly what resonates with certain consumer segments. All e-commerce company's marketing efforts are accompanied by some form of client analytics.
MARKET DYNAMICS
MARKET SCOPE
The "Global Customer Analytics in E-commerce Market Analysis To 2031" is a specialized and in-depth study of the technology, media, and telecommunication industry with a special focus on the global market trend analysis. The customer analytics in e-commerce market report aims to provide an overview of the customer analytics in e-commerce market with detailed market segmentation by component, deployment, enterprise size, application, and geography. The global customer analytics 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 customer analytics in e-commerce market players and offers key trends and opportunities in the market.
MARKET SEGMENTATION
The global customer analytics in e-commerce market is segmented based on component, deployment, enterprise size, application. Based on component, the customer analytics in e-commerce market is segmented into solution, services. Based on deployment, the customer analytics in e-commerce market is segmented into on-premises, cloud. Based on enterprise size, the customer analytics in e-commerce market is segmented SMEs, large enterprises. Based on application, the customer analytics in e-commerce market is segmented into customer retention, user engagement, in-app purchases, others.
REGIONAL FRAMEWORK
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global customer analytics in e-commerce market based on various segments. It also provides market size and forecast estimates from the year 2017 to 2031 with respect to five major regions, namely, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The customer analytics in e-commerce market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the customer analytics in e-commerce market from both demand and supply side and further evaluates market dynamics affecting 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& Central America after evaluating political, economic, social, and technological factors affecting the customer analytics in e-commerce market in these regions.
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- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global customer analytics in e-commerce market based on various segments. It also provides market size and forecast estimates from the year 2017 to 2031 with respect to five major regions, namely, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The customer analytics in e-commerce market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the customer analytics in e-commerce market from both demand and supply side and further evaluates market dynamics affecting 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& Central America after evaluating political, economic, social, and technological factors affecting the customer analytics in e-commerce market in these regions.
MARKET PLAYERS
The reports cover key developments in the customer analytics 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 the expansion of business and customer base of market players. The market players from customer analytics in e-commerce market are anticipated to lucrative growth opportunities in the future with the rising demand for filter products in the global market. Below mentioned is the list of few companies engaged in the underwriting and rating software market.
The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the underwriting and rating software market. In addition, the report focuses on leading industry players with information such as company profiles, components, and services offered, financial information of the last 3 years, the key development in the past five years.
- IBM Corp.
- ADVERITY
- Atos SE
- Happiest Minds
- Looker Data Sciences, Inc.
- Microsoft Corp.
- Oracle Corporation
- SavvyCube
- Wigzo
- Woopra, 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.
- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1 Customer Analytics In E-commerce Market - By Component
1.3.2 Customer Analytics In E-commerce Market - By Deployment
1.3.3 Customer Analytics In E-commerce Market - By Enterprise Size
1.3.4 Customer Analytics In E-commerce Market - By Application
1.3.5 Customer Analytics In E-commerce Market - By Region
1.3.5.1 By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. CUSTOMER ANALYTICS IN E-COMMERCE MARKET LANDSCAPE
4.1. OVERVIEW
4.2. PORTER'S FIVE FORCES ANALYSIS
4.2.1 Bargaining Power of Buyers
4.2.1 Bargaining Power of Suppliers
4.2.1 Threat of Substitute
4.2.1 Threat of New Entrants
4.2.1 Competitive Rivalry
4.3. ECOSYSTEM ANALYSIS
4.4. EXPERT OPINIONS
5. CUSTOMER ANALYTICS 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 AND RESTRAINTS
6. CUSTOMER ANALYTICS IN E-COMMERCE MARKET - GLOBAL MARKET ANALYSIS
6.1. CUSTOMER ANALYTICS IN E-COMMERCE - GLOBAL MARKET OVERVIEW
6.2. CUSTOMER ANALYTICS IN E-COMMERCE - GLOBAL MARKET AND FORECAST TO 2028
6.3. MARKET POSITIONING/MARKET SHARE
7. CUSTOMER ANALYTICS IN E-COMMERCE MARKET - REVENUE AND FORECASTS TO 2028 - COMPONENT
7.1. OVERVIEW
7.2. COMPONENT MARKET FORECASTS AND ANALYSIS
7.3. SOLUTION
7.3.1. Overview
7.3.2. Solution Market Forecast and Analysis
7.3.3. Standalone Market
7.3.3.1. Overview
7.3.3.2. Standalone Market Forecast and Analysis
7.3.4. Integrated Market
7.3.4.1. Overview
7.3.4.2. Integrated Market Forecast and Analysis
7.4. SERVICES
7.4.1. Overview
7.4.2. Services Market Forecast and Analysis
8. CUSTOMER ANALYTICS IN E-COMMERCE MARKET - REVENUE AND FORECASTS TO 2028 - DEPLOYMENT
8.1. OVERVIEW
8.2. DEPLOYMENT MARKET FORECASTS AND ANALYSIS
8.3. ON-PREMISES
8.3.1. Overview
8.3.2. On-premises Market Forecast and Analysis
8.4. CLOUD
8.4.1. Overview
8.4.2. Cloud Market Forecast and Analysis
9. CUSTOMER ANALYTICS IN E-COMMERCE MARKET - REVENUE AND FORECASTS TO 2028 - ENTERPRISE SIZE
9.1. OVERVIEW
9.2. ENTERPRISE SIZE MARKET FORECASTS AND ANALYSIS
9.3. SMES
9.3.1. Overview
9.3.2. SMEs Market Forecast and Analysis
9.4. LARGE ENTERPRISE
9.4.1. Overview
9.4.2. Large enterprise Market Forecast and Analysis
10. CUSTOMER ANALYTICS IN E-COMMERCE MARKET - REVENUE AND FORECASTS TO 2028 - APPLICATION
10.1. OVERVIEW
10.2. APPLICATION MARKET FORECASTS AND ANALYSIS
10.3. CUSTOMER RETENTION
10.3.1. Overview
10.3.2. Customer Retention Market Forecast and Analysis
10.4. USER ENGAGEMENT
10.4.1. Overview
10.4.2. User Engagement Market Forecast and Analysis
10.5. IN-APP PURCHASES
10.5.1. Overview
10.5.2. In-app Purchases Market Forecast and Analysis
10.6. OTHERS
10.6.1. Overview
10.6.2. Others Market Forecast and Analysis
11. CUSTOMER ANALYTICS IN E-COMMERCE MARKET REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
11.1. NORTH AMERICA
11.1.1 North America Customer Analytics In E-commerce Market Overview
11.1.2 North America Customer Analytics In E-commerce Market Forecasts and Analysis
11.1.3 North America Customer Analytics In E-commerce Market Forecasts and Analysis - By Component
11.1.4 North America Customer Analytics In E-commerce Market Forecasts and Analysis - By Deployment
11.1.5 North America Customer Analytics In E-commerce Market Forecasts and Analysis - By Enterprise Size
11.1.6 North America Customer Analytics In E-commerce Market Forecasts and Analysis - By Application
11.1.7 North America Customer Analytics In E-commerce Market Forecasts and Analysis - By Countries
11.1.7.1 United States Customer Analytics In E-commerce Market
11.1.7.1.1 United States Customer Analytics In E-commerce Market by Component
11.1.7.1.2 United States Customer Analytics In E-commerce Market by Deployment
11.1.7.1.3 United States Customer Analytics In E-commerce Market by Enterprise Size
11.1.7.1.4 United States Customer Analytics In E-commerce Market by Application
11.1.7.2 Canada Customer Analytics In E-commerce Market
11.1.7.2.1 Canada Customer Analytics In E-commerce Market by Component
11.1.7.2.2 Canada Customer Analytics In E-commerce Market by Deployment
11.1.7.2.3 Canada Customer Analytics In E-commerce Market by Enterprise Size
11.1.7.2.4 Canada Customer Analytics In E-commerce Market by Application
11.1.7.3 Mexico Customer Analytics In E-commerce Market
11.1.7.3.1 Mexico Customer Analytics In E-commerce Market by Component
11.1.7.3.2 Mexico Customer Analytics In E-commerce Market by Deployment
11.1.7.3.3 Mexico Customer Analytics In E-commerce Market by Enterprise Size
11.1.7.3.4 Mexico Customer Analytics In E-commerce Market by Application
11.2. EUROPE
11.2.1 Europe Customer Analytics In E-commerce Market Overview
11.2.2 Europe Customer Analytics In E-commerce Market Forecasts and Analysis
11.2.3 Europe Customer Analytics In E-commerce Market Forecasts and Analysis - By Component
11.2.4 Europe Customer Analytics In E-commerce Market Forecasts and Analysis - By Deployment
11.2.5 Europe Customer Analytics In E-commerce Market Forecasts and Analysis - By Enterprise Size
11.2.6 Europe Customer Analytics In E-commerce Market Forecasts and Analysis - By Application
11.2.7 Europe Customer Analytics In E-commerce Market Forecasts and Analysis - By Countries
11.2.7.1 Germany Customer Analytics In E-commerce Market
11.2.7.1.1 Germany Customer Analytics In E-commerce Market by Component
11.2.7.1.2 Germany Customer Analytics In E-commerce Market by Deployment
11.2.7.1.3 Germany Customer Analytics In E-commerce Market by Enterprise Size
11.2.7.1.4 Germany Customer Analytics In E-commerce Market by Application
11.2.7.2 France Customer Analytics In E-commerce Market
11.2.7.2.1 France Customer Analytics In E-commerce Market by Component
11.2.7.2.2 France Customer Analytics In E-commerce Market by Deployment
11.2.7.2.3 France Customer Analytics In E-commerce Market by Enterprise Size
11.2.7.2.4 France Customer Analytics In E-commerce Market by Application
11.2.7.3 Italy Customer Analytics In E-commerce Market
11.2.7.3.1 Italy Customer Analytics In E-commerce Market by Component
11.2.7.3.2 Italy Customer Analytics In E-commerce Market by Deployment
11.2.7.3.3 Italy Customer Analytics In E-commerce Market by Enterprise Size
11.2.7.3.4 Italy Customer Analytics In E-commerce Market by Application
11.2.7.4 United Kingdom Customer Analytics In E-commerce Market
11.2.7.4.1 United Kingdom Customer Analytics In E-commerce Market by Component
11.2.7.4.2 United Kingdom Customer Analytics In E-commerce Market by Deployment
11.2.7.4.3 United Kingdom Customer Analytics In E-commerce Market by Enterprise Size
11.2.7.4.4 United Kingdom Customer Analytics In E-commerce Market by Application
11.2.7.5 Russia Customer Analytics In E-commerce Market
11.2.7.5.1 Russia Customer Analytics In E-commerce Market by Component
11.2.7.5.2 Russia Customer Analytics In E-commerce Market by Deployment
11.2.7.5.3 Russia Customer Analytics In E-commerce Market by Enterprise Size
11.2.7.5.4 Russia Customer Analytics In E-commerce Market by Application
11.2.7.6 Rest of Europe Customer Analytics In E-commerce Market
11.2.7.6.1 Rest of Europe Customer Analytics In E-commerce Market by Component
11.2.7.6.2 Rest of Europe Customer Analytics In E-commerce Market by Deployment
11.2.7.6.3 Rest of Europe Customer Analytics In E-commerce Market by Enterprise Size
11.2.7.6.4 Rest of Europe Customer Analytics In E-commerce Market by Application
11.3. ASIA-PACIFIC
11.3.1 Asia-Pacific Customer Analytics In E-commerce Market Overview
11.3.2 Asia-Pacific Customer Analytics In E-commerce Market Forecasts and Analysis
11.3.3 Asia-Pacific Customer Analytics In E-commerce Market Forecasts and Analysis - By Component
11.3.4 Asia-Pacific Customer Analytics In E-commerce Market Forecasts and Analysis - By Deployment
11.3.5 Asia-Pacific Customer Analytics In E-commerce Market Forecasts and Analysis - By Enterprise Size
11.3.6 Asia-Pacific Customer Analytics In E-commerce Market Forecasts and Analysis - By Application
11.3.7 Asia-Pacific Customer Analytics In E-commerce Market Forecasts and Analysis - By Countries
11.3.7.1 Australia Customer Analytics In E-commerce Market
11.3.7.1.1 Australia Customer Analytics In E-commerce Market by Component
11.3.7.1.2 Australia Customer Analytics In E-commerce Market by Deployment
11.3.7.1.3 Australia Customer Analytics In E-commerce Market by Enterprise Size
11.3.7.1.4 Australia Customer Analytics In E-commerce Market by Application
11.3.7.2 China Customer Analytics In E-commerce Market
11.3.7.2.1 China Customer Analytics In E-commerce Market by Component
11.3.7.2.2 China Customer Analytics In E-commerce Market by Deployment
11.3.7.2.3 China Customer Analytics In E-commerce Market by Enterprise Size
11.3.7.2.4 China Customer Analytics In E-commerce Market by Application
11.3.7.3 India Customer Analytics In E-commerce Market
11.3.7.3.1 India Customer Analytics In E-commerce Market by Component
11.3.7.3.2 India Customer Analytics In E-commerce Market by Deployment
11.3.7.3.3 India Customer Analytics In E-commerce Market by Enterprise Size
11.3.7.3.4 India Customer Analytics In E-commerce Market by Application
11.3.7.4 Japan Customer Analytics In E-commerce Market
11.3.7.4.1 Japan Customer Analytics In E-commerce Market by Component
11.3.7.4.2 Japan Customer Analytics In E-commerce Market by Deployment
11.3.7.4.3 Japan Customer Analytics In E-commerce Market by Enterprise Size
11.3.7.4.4 Japan Customer Analytics In E-commerce Market by Application
11.3.7.5 South Korea Customer Analytics In E-commerce Market
11.3.7.5.1 South Korea Customer Analytics In E-commerce Market by Component
11.3.7.5.2 South Korea Customer Analytics In E-commerce Market by Deployment
11.3.7.5.3 South Korea Customer Analytics In E-commerce Market by Enterprise Size
11.3.7.5.4 South Korea Customer Analytics In E-commerce Market by Application
11.3.7.6 Rest of Asia-Pacific Customer Analytics In E-commerce Market
11.3.7.6.1 Rest of Asia-Pacific Customer Analytics In E-commerce Market by Component
11.3.7.6.2 Rest of Asia-Pacific Customer Analytics In E-commerce Market by Deployment
11.3.7.6.3 Rest of Asia-Pacific Customer Analytics In E-commerce Market by Enterprise Size
11.3.7.6.4 Rest of Asia-Pacific Customer Analytics In E-commerce Market by Application
11.4. MIDDLE EAST AND AFRICA
11.4.1 Middle East and Africa Customer Analytics In E-commerce Market Overview
11.4.2 Middle East and Africa Customer Analytics In E-commerce Market Forecasts and Analysis
11.4.3 Middle East and Africa Customer Analytics In E-commerce Market Forecasts and Analysis - By Component
11.4.4 Middle East and Africa Customer Analytics In E-commerce Market Forecasts and Analysis - By Deployment
11.4.5 Middle East and Africa Customer Analytics In E-commerce Market Forecasts and Analysis - By Enterprise Size
11.4.6 Middle East and Africa Customer Analytics In E-commerce Market Forecasts and Analysis - By Application
11.4.7 Middle East and Africa Customer Analytics In E-commerce Market Forecasts and Analysis - By Countries
11.4.7.1 South Africa Customer Analytics In E-commerce Market
11.4.7.1.1 South Africa Customer Analytics In E-commerce Market by Component
11.4.7.1.2 South Africa Customer Analytics In E-commerce Market by Deployment
11.4.7.1.3 South Africa Customer Analytics In E-commerce Market by Enterprise Size
11.4.7.1.4 South Africa Customer Analytics In E-commerce Market by Application
11.4.7.2 Saudi Arabia Customer Analytics In E-commerce Market
11.4.7.2.1 Saudi Arabia Customer Analytics In E-commerce Market by Component
11.4.7.2.2 Saudi Arabia Customer Analytics In E-commerce Market by Deployment
11.4.7.2.3 Saudi Arabia Customer Analytics In E-commerce Market by Enterprise Size
11.4.7.2.4 Saudi Arabia Customer Analytics In E-commerce Market by Application
11.4.7.3 U.A.E Customer Analytics In E-commerce Market
11.4.7.3.1 U.A.E Customer Analytics In E-commerce Market by Component
11.4.7.3.2 U.A.E Customer Analytics In E-commerce Market by Deployment
11.4.7.3.3 U.A.E Customer Analytics In E-commerce Market by Enterprise Size
11.4.7.3.4 U.A.E Customer Analytics In E-commerce Market by Application
11.4.7.4 Rest of Middle East and Africa Customer Analytics In E-commerce Market
11.4.7.4.1 Rest of Middle East and Africa Customer Analytics In E-commerce Market by Component
11.4.7.4.2 Rest of Middle East and Africa Customer Analytics In E-commerce Market by Deployment
11.4.7.4.3 Rest of Middle East and Africa Customer Analytics In E-commerce Market by Enterprise Size
11.4.7.4.4 Rest of Middle East and Africa Customer Analytics In E-commerce Market by Application
11.5. SOUTH AND CENTRAL AMERICA
11.5.1 South and Central America Customer Analytics In E-commerce Market Overview
11.5.2 South and Central America Customer Analytics In E-commerce Market Forecasts and Analysis
11.5.3 South and Central America Customer Analytics In E-commerce Market Forecasts and Analysis - By Component
11.5.4 South and Central America Customer Analytics In E-commerce Market Forecasts and Analysis - By Deployment
11.5.5 South and Central America Customer Analytics In E-commerce Market Forecasts and Analysis - By Enterprise Size
11.5.6 South and Central America Customer Analytics In E-commerce Market Forecasts and Analysis - By Application
11.5.7 South and Central America Customer Analytics In E-commerce Market Forecasts and Analysis - By Countries
11.5.7.1 Brazil Customer Analytics In E-commerce Market
11.5.7.1.1 Brazil Customer Analytics In E-commerce Market by Component
11.5.7.1.2 Brazil Customer Analytics In E-commerce Market by Deployment
11.5.7.1.3 Brazil Customer Analytics In E-commerce Market by Enterprise Size
11.5.7.1.4 Brazil Customer Analytics In E-commerce Market by Application
11.5.7.2 Argentina Customer Analytics In E-commerce Market
11.5.7.2.1 Argentina Customer Analytics In E-commerce Market by Component
11.5.7.2.2 Argentina Customer Analytics In E-commerce Market by Deployment
11.5.7.2.3 Argentina Customer Analytics In E-commerce Market by Enterprise Size
11.5.7.2.4 Argentina Customer Analytics In E-commerce Market by Application
11.5.7.3 Rest of South and Central America Customer Analytics In E-commerce Market
11.5.7.3.1 Rest of South and Central America Customer Analytics In E-commerce Market by Component
11.5.7.3.2 Rest of South and Central America Customer Analytics In E-commerce Market by Deployment
11.5.7.3.3 Rest of South and Central America Customer Analytics In E-commerce Market by Enterprise Size
11.5.7.3.4 Rest of South and Central America Customer Analytics In E-commerce Market by Application
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. CUSTOMER ANALYTICS IN E-COMMERCE MARKET, KEY COMPANY PROFILES
13.1. IBM CORP.
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. ADVERITY
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. ATOS SE
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. HAPPIEST MINDS
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. LOOKER DATA SCIENCES, INC.
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. MICROSOFT 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. ORACLE CORPORATION
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. SAVVYCUBE
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. WIGZO
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. WOOPRA, 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
1.IBM Corp.
2.ADVERITY
3.Atos SE
4.Happiest Minds
5.Looker Data Sciences, Inc.
6.Microsoft Corp.
7.Oracle Corporation
8.SavvyCube
9.Wigzo
10.Woopra, Inc.
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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