Research Methodology – Global SERVER OPERATING SYSTEM Market
Purchased Database:
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Includes company databases such as Hoover’s: This helps us identify financial information, industry competitive landscape, structure of the market participants. Also, it serves as an important step in market sizing, especially in case of commodity-flow techniques.
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Industry databases, e.g., Factiva. helps us gain access to industry statistics, and KoL opinions & formulate conclusions.
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Other sources include SME journals, and pertinent databases from third-party vendors to gain insights into:
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Procedure statistics
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Potential market related statistics
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Information on unmet needs
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Regional expenditure pattern
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Investment information or opportunity-based statistics
Following databases were used but are not limited to,
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Euromonitor
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Factiva
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Bloomberg
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Statista
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Hoovers
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Dun & Bradstreet
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CrunchBase
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ZoomInfo
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Pitchbook
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Tofler
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Tracxn
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MRFR’s Internal Database
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Includes our internal database of data points, collected because of previous research & studies and information made available via our database management team.
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Also includes internal audit reports & archives.
Secondary Sources:
Notable examples include white papers, government statistics published by organizations like IRU, NGOs etc., KoL publications, company filings, investor documents etc.
Some of the sources used in the report include,
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IEEE
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ResearchGate
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ScienceDirect
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Forbes
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McKinsey
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International Data Corporation
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Information communication & Technology
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Server Operating System
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Industry Association for Information communication & Technology
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India Information communication & Technology Association
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National Association of Software and Services
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European Information & Communications Technology Industry
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Linux.org
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International Trade Administration
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Third Party Perspective:
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Primary Research
PRIMARY RESEARCH PATTERN
The primary interviews and surveys derive directions from extensive secondary research. Secondary research is a continuous process and is conducted at each level along the value chain.

Interview Scope:
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Research tools: Questionnaire-based research and telephonic discussions
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Database: Paid vendors, LinkedIn, Hoover’s, Factiva, Sources extracted from previous pertinent studies
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Market scope: All segments within the scope of the study. Interviews of KoLs from non- English-speaking countries are conducted via our vendors and questionnaires
Sample size for the study:
|
MARKET
|
CHAIN SIDE
|
NO. OF PRIMARY INTERVIEWS
|
TOTAL (A+B)
|
|
North America
|
Supply (A)
|
14
|
24
|
|
End User (B)
|
10
|
|
Europe
|
Supply (A)
|
12
|
20
|
|
End User (B)
|
8
|
|
Asia-Pacific
|
Supply (A)
|
8
|
13
|
|
End User (B)
|
5
|
|
Middle East & Africa
|
Supply (A)
|
3
|
4
|
|
End User (B)
|
1
|
|
South America
|
Supply (A)
|
3
|
4
|
|
End User (B)
|
1
|
|
Total
|
-
|
-
|
65
|
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Data Analysis
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Information procured from secondary and primary initiatives is then, analyzed by using the following tools/models: (a partial list)
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Identifying variables and establishing the market impact
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Establishing market trends
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Analyzing future opportunities and market penetration rates by understanding product commercialization, regional expansion etc.
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Analyzing reimbursement trends and changes in market dynamics to establish future growth
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Analyzing sustainability strategies adhered by market participants in an attempt to determine future course of the market.
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Analyzing historical market trends and super-imposing them on the current and future variables to determine year-on-year trend
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Understanding procedure trends framework
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Keeping a track of technological advancements in individual segments
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Base numbers are established by analyzing the following:
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Company revenues and market share (this list generally includes the analysis of revenue published by publicly listed manufacturers)
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Derivation of market estimates via analyzing parent and ancillary markets
Data Analysis: Market Formulation:
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This step involves the finalization of market numbers. This step on an internal level is designed to manage outputs from the Data Analysis step.
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Data normalization
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The final market estimates & forecasts are then aligned and sent to industry experts in- panel quality control managers for validation
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This step also entails the finalization of the report scope and data representation pattern
The process entails multiple levels of validation. All these steps are run in parallel, and the study is forwarded for publishing only if all three levels re

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MARKET RESEARCH APPROACHES
Bottom-up Demand Approach
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Demand estimation of each product across countries/regions summed to form the total market
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Variable analysis for demand forecasting
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Demand estimation via analyzing paid databases, and company financials either via annual reports or paid databases
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Primary interviews for data revalidation and insight collection

Top-Down Approach
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Used extensively for new product forecasting or analyzing penetration levels
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Use of regression and multi-variate analyses for forecasting involves extensive use of paid and public databases
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Primary interviews and vendor based primary research for user preferences etc.

Combined Approach

VALUE CHAIN BASED SIZING & FORECASTING

Penetration modeling for products
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Determining and forecasting penetration via analyzing product features, availability of internal and external substitutes etc.
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Heuristic estimation of year-on-year sales by conducting primary interviews with:
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QFD modeling for market share assessment (an example cited in the figure below)
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Referring to historic data to establish base estimates
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Analyzing current needs and determining penetration to estimate market size or sales
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Using unmet needs and capitalization rates to determine growth
QFD MODELING FOR MARKET SHARE ASSESSMENT
|
Scores derived via QFD
|
Price
|
Efficacy rates
|
Current Penetration
|
Future Prospects
|
Consumer preference index
|
|
Product A
|
10
|
9
|
7
|
9
|
6
|
|
Product A
|
8
|
9
|
4
|
6
|
5
|
|
Product A
|
10
|
7
|
1
|
7
|
9
|
|
Product A
|
4
|
8
|
10
|
9
|
4
|
|
Product A
|
8
|
6
|
6
|
3
|
1
|
|
Weightage in terms of %
|
Â
|
|
Price
|
25%
|
|
Efficacy Rates
|
25%
|
|
Current Penetration
|
25%
|
|
Future Prospects
|
10%
|
|
Consumer
Preference Index
|
15%
|
|
Â
|
100%
|
Â
|
Market Shares as calculated for initial research
purposes
|
|
Â
|
Avg. Score
|
Related Market Share
|
|
Product A
|
8.3
|
24.48%
|
|
Product B
|
6.6
|
19.47%
|
|
Product C
|
6.6
|
19.32%
|
|
Product D
|
7.0
|
20.65%
|
|
Product E
|
5.5
|
16.08%
|
|
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|
33.9
|
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|
Note: The above-illustrated figure is for representation purposes only. Attribute selection and score rendering is an extensive process involving rigorous primary and secondary research


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