Data Science Platform Market Dynamics 2021-2031
Data science platform is a software platform is used for integrating and exploring data from various sources. Various organizations are using data science platform to make informed decisions and getting a deeper insight of consumer behavior. Several big market players like Microsoft, and IBM are working rigorously on improving the data science platforms.
MARKET SCOPE
The "Global Data Science Platform Market Analysis to 2031" is a specialized and in-depth study with a special focus on the global market trend analysis. The report aims to provide an overview of the data science platform market with detailed market segmentation by business function, component, end user, and geography. The report provides key statistics on the market status of the leading data science platform market players and offers key trends and opportunities in the market.
MARKET SEGMENTATION
- Based on business function, the global data science platform market is segmented into type marketing, logistics, operations, sales, and others.
- On the basis of component, the market is segmented into platform and services.
- Based on end user, the market is segmented into BFSI, telecommunication, transportation and logistics, healthcare, manufacturing, retail, education, government, energy, and others.
MARKET DYNAMICS
Drivers:
- Increasing focus towards making informed decisions and getting insights to drive the business, and data governance are the major factors that are expected to drive the growth of this market.
Restraints:
- High initial investments and data privacy and security concerns might hinder the growth of this market.
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 market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), the Middle East and Africa (MEA), and South America. The data science platform 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 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 America after evaluating political, economic, social and technological factors affecting the data science platform market in these regions.
IMPACT OF COVID-19ON DATA SCIENCE PLATFORM MARKET
COVID-19 first began in Wuhan (China) during December 2019 and since then it has spread at a fast pace across the globe. The US, India, Brazil, Russia, France, the UK, Turkey, Italy, and Spain are some of the worst affected countries in terms confirmed cases and reported deaths. The COVID-19 has been affecting economies and industries in various countries due to lockdowns, travel bans, and business shutdowns. Shutdown of various plants and factories has affected the global supply chains and negatively impacted the manufacturing, delivery schedules, and sales of products in global market. Few companies have already announced possible delays in product deliveries and slump in future sales of their products. In addition to this, the global travel bans imposed by countries in Europe, Asia-Pacific, and North America are affecting the business collaborations and partnerships opportunities.
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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 market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), the Middle East and Africa (MEA), and South America. The data science platform 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 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 America after evaluating political, economic, social and technological factors affecting the data science platform market in these regions.
IMPACT OF COVID-19ON DATA SCIENCE PLATFORM MARKET
COVID-19 first began in Wuhan (China) during December 2019 and since then it has spread at a fast pace across the globe. The US, India, Brazil, Russia, France, the UK, Turkey, Italy, and Spain are some of the worst affected countries in terms confirmed cases and reported deaths. The COVID-19 has been affecting economies and industries in various countries due to lockdowns, travel bans, and business shutdowns. Shutdown of various plants and factories has affected the global supply chains and negatively impacted the manufacturing, delivery schedules, and sales of products in global market. Few companies have already announced possible delays in product deliveries and slump in future sales of their products. In addition to this, the global travel bans imposed by countries in Europe, Asia-Pacific, and North America are affecting the business collaborations and partnerships opportunities.
MARKET PLAYERS
The report covers key developments in the data science platform 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 data science platform market are anticipated to lucrative growth opportunities in the future with the rising demand in the global market.
The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the data science platform 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.
- ALTERYX INC.
- CLOUDERA INC.
- DATAROBOT INC.
- DOMINO DATA LAB INC.
- Databricks
- IBM CORPORATION
- Rexer Analytics
- RAPIDMINER INC.
- RAPID INSIGHT
- WOLFRAM
- 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 Data Science Platform Market - By Business Function
1.3.2 Data Science Platform Market - By Component
1.3.3 Data Science Platform Market - By End User
1.3.4 Data Science Platform Market - By Region
1.3.4.1 By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. DATA SCIENCE PLATFORM 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. DATA SCIENCE PLATFORM 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. DATA SCIENCE PLATFORM MARKET - GLOBAL MARKET ANALYSIS
6.1. DATA SCIENCE PLATFORM - GLOBAL MARKET OVERVIEW
6.2. DATA SCIENCE PLATFORM - GLOBAL MARKET AND FORECAST TO 2027
6.3. MARKET POSITIONING/MARKET SHARE
7. DATA SCIENCE PLATFORM MARKET - REVENUE AND FORECASTS TO 2027 - BUSINESS FUNCTION
7.1. OVERVIEW
7.2. BUSINESS FUNCTION MARKET FORECASTS AND ANALYSIS
7.3. MARKETING
7.3.1. Overview
7.3.2. Marketing Market Forecast and Analysis
7.4. LOGISTICS
7.4.1. Overview
7.4.2. Logistics Market Forecast and Analysis
7.5. OPERATIONS
7.5.1. Overview
7.5.2. Operations Market Forecast and Analysis
7.6. SALES
7.6.1. Overview
7.6.2. Sales Market Forecast and Analysis
7.7. OTHERS
7.7.1. Overview
7.7.2. Others Market Forecast and Analysis
8. DATA SCIENCE PLATFORM MARKET - REVENUE AND FORECASTS TO 2027 - COMPONENT
8.1. OVERVIEW
8.2. COMPONENT MARKET FORECASTS AND ANALYSIS
8.3. PLATFORM
8.3.1. Overview
8.3.2. Platform Market Forecast and Analysis
8.4. SERVICES
8.4.1. Overview
8.4.2. Services Market Forecast and Analysis
9. DATA SCIENCE PLATFORM MARKET - REVENUE AND FORECASTS TO 2027 - END USER
9.1. OVERVIEW
9.2. END USER MARKET FORECASTS AND ANALYSIS
9.3. BFSI
9.3.1. Overview
9.3.2. BFSI Market Forecast and Analysis
9.4. TELECOMMUNICATION
9.4.1. Overview
9.4.2. Telecommunication Market Forecast and Analysis
9.5. TRANSPORTATION AND LOGISTICS
9.5.1. Overview
9.5.2. Transportation and Logistics Market Forecast and Analysis
9.6. HEALTHCARE
9.6.1. Overview
9.6.2. Healthcare Market Forecast and Analysis
9.7. MANUFACTURING
9.7.1. Overview
9.7.2. Manufacturing Market Forecast and Analysis
9.8. RETAIL
9.8.1. Overview
9.8.2. Retail Market Forecast and Analysis
9.9. GOVERNMENT
9.9.1. Overview
9.9.2. Government Market Forecast and Analysis
9.10. ENERGY
9.10.1. Overview
9.10.2. Energy Market Forecast and Analysis
9.11. OTHERS
9.11.1. Overview
9.11.2. Others Market Forecast and Analysis
10. DATA SCIENCE PLATFORM MARKET REVENUE AND FORECASTS TO 2027 - GEOGRAPHICAL ANALYSIS
10.1. NORTH AMERICA
10.1.1 North America Data Science Platform Market Overview
10.1.2 North America Data Science Platform Market Forecasts and Analysis
10.1.3 North America Data Science Platform Market Forecasts and Analysis - By Business Function
10.1.4 North America Data Science Platform Market Forecasts and Analysis - By Component
10.1.5 North America Data Science Platform Market Forecasts and Analysis - By End User
10.1.6 North America Data Science Platform Market Forecasts and Analysis - By Countries
10.1.6.1 United States Data Science Platform Market
10.1.6.1.1 United States Data Science Platform Market by Business Function
10.1.6.1.2 United States Data Science Platform Market by Component
10.1.6.1.3 United States Data Science Platform Market by End User
10.1.6.2 Canada Data Science Platform Market
10.1.6.2.1 Canada Data Science Platform Market by Business Function
10.1.6.2.2 Canada Data Science Platform Market by Component
10.1.6.2.3 Canada Data Science Platform Market by End User
10.1.6.3 Mexico Data Science Platform Market
10.1.6.3.1 Mexico Data Science Platform Market by Business Function
10.1.6.3.2 Mexico Data Science Platform Market by Component
10.1.6.3.3 Mexico Data Science Platform Market by End User
10.2. EUROPE
10.2.1 Europe Data Science Platform Market Overview
10.2.2 Europe Data Science Platform Market Forecasts and Analysis
10.2.3 Europe Data Science Platform Market Forecasts and Analysis - By Business Function
10.2.4 Europe Data Science Platform Market Forecasts and Analysis - By Component
10.2.5 Europe Data Science Platform Market Forecasts and Analysis - By End User
10.2.6 Europe Data Science Platform Market Forecasts and Analysis - By Countries
10.2.6.1 Germany Data Science Platform Market
10.2.6.1.1 Germany Data Science Platform Market by Business Function
10.2.6.1.2 Germany Data Science Platform Market by Component
10.2.6.1.3 Germany Data Science Platform Market by End User
10.2.6.2 France Data Science Platform Market
10.2.6.2.1 France Data Science Platform Market by Business Function
10.2.6.2.2 France Data Science Platform Market by Component
10.2.6.2.3 France Data Science Platform Market by End User
10.2.6.3 Italy Data Science Platform Market
10.2.6.3.1 Italy Data Science Platform Market by Business Function
10.2.6.3.2 Italy Data Science Platform Market by Component
10.2.6.3.3 Italy Data Science Platform Market by End User
10.2.6.4 United Kingdom Data Science Platform Market
10.2.6.4.1 United Kingdom Data Science Platform Market by Business Function
10.2.6.4.2 United Kingdom Data Science Platform Market by Component
10.2.6.4.3 United Kingdom Data Science Platform Market by End User
10.2.6.5 Russia Data Science Platform Market
10.2.6.5.1 Russia Data Science Platform Market by Business Function
10.2.6.5.2 Russia Data Science Platform Market by Component
10.2.6.5.3 Russia Data Science Platform Market by End User
10.2.6.6 Rest of Europe Data Science Platform Market
10.2.6.6.1 Rest of Europe Data Science Platform Market by Business Function
10.2.6.6.2 Rest of Europe Data Science Platform Market by Component
10.2.6.6.3 Rest of Europe Data Science Platform Market by End User
10.3. ASIA-PACIFIC
10.3.1 Asia-Pacific Data Science Platform Market Overview
10.3.2 Asia-Pacific Data Science Platform Market Forecasts and Analysis
10.3.3 Asia-Pacific Data Science Platform Market Forecasts and Analysis - By Business Function
10.3.4 Asia-Pacific Data Science Platform Market Forecasts and Analysis - By Component
10.3.5 Asia-Pacific Data Science Platform Market Forecasts and Analysis - By End User
10.3.6 Asia-Pacific Data Science Platform Market Forecasts and Analysis - By Countries
10.3.6.1 Australia Data Science Platform Market
10.3.6.1.1 Australia Data Science Platform Market by Business Function
10.3.6.1.2 Australia Data Science Platform Market by Component
10.3.6.1.3 Australia Data Science Platform Market by End User
10.3.6.2 China Data Science Platform Market
10.3.6.2.1 China Data Science Platform Market by Business Function
10.3.6.2.2 China Data Science Platform Market by Component
10.3.6.2.3 China Data Science Platform Market by End User
10.3.6.3 India Data Science Platform Market
10.3.6.3.1 India Data Science Platform Market by Business Function
10.3.6.3.2 India Data Science Platform Market by Component
10.3.6.3.3 India Data Science Platform Market by End User
10.3.6.4 Japan Data Science Platform Market
10.3.6.4.1 Japan Data Science Platform Market by Business Function
10.3.6.4.2 Japan Data Science Platform Market by Component
10.3.6.4.3 Japan Data Science Platform Market by End User
10.3.6.5 Rest of Asia-Pacific Data Science Platform Market
10.3.6.5.1 Rest of Asia-Pacific Data Science Platform Market by Business Function
10.3.6.5.2 Rest of Asia-Pacific Data Science Platform Market by Component
10.3.6.5.3 Rest of Asia-Pacific Data Science Platform Market by End User
10.4. MIDDLE EAST AND AFRICA
10.4.1 Middle East and Africa Data Science Platform Market Overview
10.4.2 Middle East and Africa Data Science Platform Market Forecasts and Analysis
10.4.3 Middle East and Africa Data Science Platform Market Forecasts and Analysis - By Business Function
10.4.4 Middle East and Africa Data Science Platform Market Forecasts and Analysis - By Component
10.4.5 Middle East and Africa Data Science Platform Market Forecasts and Analysis - By End User
10.4.6 Middle East and Africa Data Science Platform Market Forecasts and Analysis - By Countries
10.4.6.1 South Africa Data Science Platform Market
10.4.6.1.1 South Africa Data Science Platform Market by Business Function
10.4.6.1.2 South Africa Data Science Platform Market by Component
10.4.6.1.3 South Africa Data Science Platform Market by End User
10.4.6.2 Saudi Arabia Data Science Platform Market
10.4.6.2.1 Saudi Arabia Data Science Platform Market by Business Function
10.4.6.2.2 Saudi Arabia Data Science Platform Market by Component
10.4.6.2.3 Saudi Arabia Data Science Platform Market by End User
10.4.6.3 U.A.E Data Science Platform Market
10.4.6.3.1 U.A.E Data Science Platform Market by Business Function
10.4.6.3.2 U.A.E Data Science Platform Market by Component
10.4.6.3.3 U.A.E Data Science Platform Market by End User
10.4.6.4 Rest of Middle East and Africa Data Science Platform Market
10.4.6.4.1 Rest of Middle East and Africa Data Science Platform Market by Business Function
10.4.6.4.2 Rest of Middle East and Africa Data Science Platform Market by Component
10.4.6.4.3 Rest of Middle East and Africa Data Science Platform Market by End User
10.5. SOUTH AND CENTRAL AMERICA
10.5.1 South and Central America Data Science Platform Market Overview
10.5.2 South and Central America Data Science Platform Market Forecasts and Analysis
10.5.3 South and Central America Data Science Platform Market Forecasts and Analysis - By Business Function
10.5.4 South and Central America Data Science Platform Market Forecasts and Analysis - By Component
10.5.5 South and Central America Data Science Platform Market Forecasts and Analysis - By End User
10.5.6 South and Central America Data Science Platform Market Forecasts and Analysis - By Countries
10.5.6.1 Brazil Data Science Platform Market
10.5.6.1.1 Brazil Data Science Platform Market by Business Function
10.5.6.1.2 Brazil Data Science Platform Market by Component
10.5.6.1.3 Brazil Data Science Platform Market by End User
10.5.6.2 Argentina Data Science Platform Market
10.5.6.2.1 Argentina Data Science Platform Market by Business Function
10.5.6.2.2 Argentina Data Science Platform Market by Component
10.5.6.2.3 Argentina Data Science Platform Market by End User
10.5.6.3 Rest of South and Central America Data Science Platform Market
10.5.6.3.1 Rest of South and Central America Data Science Platform Market by Business Function
10.5.6.3.2 Rest of South and Central America Data Science Platform Market by Component
10.5.6.3.3 Rest of South and Central America Data Science Platform Market by End User
11. INDUSTRY LANDSCAPE
11.1. MERGERS AND ACQUISITIONS
11.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
11.3. NEW PRODUCT LAUNCHES
11.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
12. DATA SCIENCE PLATFORM MARKET, KEY COMPANY PROFILES
12.1. ALTERYX INC.
12.1.1. Key Facts
12.1.2. Business Description
12.1.3. Products and Services
12.1.4. Financial Overview
12.1.5. SWOT Analysis
12.1.6. Key Developments
12.2. CLOUDERA INC.
12.2.1. Key Facts
12.2.2. Business Description
12.2.3. Products and Services
12.2.4. Financial Overview
12.2.5. SWOT Analysis
12.2.6. Key Developments
12.3. DATAROBOT INC.
12.3.1. Key Facts
12.3.2. Business Description
12.3.3. Products and Services
12.3.4. Financial Overview
12.3.5. SWOT Analysis
12.3.6. Key Developments
12.4. DOMINO DATA LAB INC.
12.4.1. Key Facts
12.4.2. Business Description
12.4.3. Products and Services
12.4.4. Financial Overview
12.4.5. SWOT Analysis
12.4.6. Key Developments
12.5. DATABRICKS
12.5.1. Key Facts
12.5.2. Business Description
12.5.3. Products and Services
12.5.4. Financial Overview
12.5.5. SWOT Analysis
12.5.6. Key Developments
12.6. IBM CORPORATION
12.6.1. Key Facts
12.6.2. Business Description
12.6.3. Products and Services
12.6.4. Financial Overview
12.6.5. SWOT Analysis
12.6.6. Key Developments
12.7. REXER ANALYTICS
12.7.1. Key Facts
12.7.2. Business Description
12.7.3. Products and Services
12.7.4. Financial Overview
12.7.5. SWOT Analysis
12.7.6. Key Developments
12.8. RAPIDMINER INC.
12.8.1. Key Facts
12.8.2. Business Description
12.8.3. Products and Services
12.8.4. Financial Overview
12.8.5. SWOT Analysis
12.8.6. Key Developments
12.9. RAPID INSIGHT
12.9.1. Key Facts
12.9.2. Business Description
12.9.3. Products and Services
12.9.4. Financial Overview
12.9.5. SWOT Analysis
12.9.6. Key Developments
12.10. WOLFRAM
12.10.1. Key Facts
12.10.2. Business Description
12.10.3. Products and Services
12.10.4. Financial Overview
12.10.5. SWOT Analysis
12.10.6. Key Developments
13. APPENDIX
13.1. ABOUT THE INSIGHT PARTNERS
13.2. GLOSSARY OF TERMS
1. ALTERYX INC.
2. CLOUDERA INC.
3. DATAROBOT INC.
4. DOMINO DATA LAB INC.
5. Databricks
6. IBM CORPORATION
7. Rexer Analytics
8. RAPIDMINER INC.
9. RAPID INSIGHT
10. WOLFRAM
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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