DataM Intelligence

Our Research Methodology

The major success story starts with DataM's research methodology. Our motive is to provide the best, most accurate, and most precise information to our clients. We support our partners - clients - to recognize the major opportunities by understanding and studying the industry's current and future scenario to help them in their business portfolio.

The research team of DataM Intelligence is highly knowledgeable, with more than half of its strength having 4-5 years of experience in purely business and management consulting, backed by a strong technical and analytical approach.

Methodology at a Glance

A Methodical Market Research Process

Methodical market research can minimize costs and escalate revenues and profits by interpreting upcoming activities and operations. That methodical process involves six disciplined stages.

01
Define the problem & objective

Establish the general course of the research from global unmet needs and socio-economic factors.

02
Plan the research approach

Consider research objectives, data collection methods, analysis approaches, validity, reliability, and ethics.

03
Gather primary & secondary data

Compile demand and supply-side perceptions from databases, publications, and expert interviews.

04
Analyze qualitative & quantitative data

Account for all parameters affecting the market, verified in detail through primary research.

05
Interpret, estimate & forecast

Use top-down and bottom-up approaches to estimate and validate market size and submarkets.

06
Report findings

Deliver company analysis, market insights, and decision-ready intelligence.

Primary Research
Expert-Led Primary Research

Primary research is a structured process of identifying, engaging, and interviewing the right experts - and using the insights to generate and validate market intelligence.

Discussion guides and questionnaires are prepared to obtain productive information about the market. Primary research is conducted through e-mails, face-to-face, and telephonic interviews, helping to analyze the market's scope, dynamics, industry competitiveness, and micro and macro factors.

Expert interview during primary research
IdentifySelectEngageInterviewValidate
Expert Profile Identification

Experts are selected based on factors such as industry experience, job role, domain expertise, and geographical relevance.

Expert Identification Sources

Relevant experts are identified through professional networks, industry publications and journals, and internal databases.

Discussion Guides

Interviews use a semi-structured approach combining targeted questions, open-ended probes, and focused follow-ups around important findings.

Expert Outreach

Engagement happens through LinkedIn outreach, direct calls, and email outreach - tailored to the right stakeholders.

Primary Research as Validation

Primary interviews are not merely used to collect opinions. They are also used to validate market sizing assumptions, cross-check secondary research, and confirm strategic trends.

  • Validate market sizing assumptions
  • Cross-check secondary research
  • Verify adoption trends
  • Test technical feasibility
  • Identify market barriers
  • Validate competitive dynamics
  • Challenge contradictory findings
  • Confirm important strategic trends
Primary research = insight generation + validation
Who We Engage

Stakeholders Across the Value Chain

Primary research can involve stakeholders across the relevant value chain - from manufacturers and technology providers to end users and industry consultants.

Supply-Side Participants

We engage the decision-makers who shape supply and production.

  • CEOs
  • Vice Presidents
  • Marketing Directors
  • Product Managers
  • Regional Sales and Marketing Managers
  • Business Development
  • Plant Managers
Demand-Side Participants

We engage the users, specialists, and buyers who shape demand.

  • R&D Technicians and Technologists
  • Procurement Managers
  • Physicians/Specialist
  • Research Professors
  • Healthcare Providers
  • Consumers
  • Distributors & Channels
  • Service Providers
Expert Engagement Across the Value Chain

Depending on the study, primary research may involve manufacturers, equipment providers, engineering companies, technology providers, R&D organizations, distributors, end users, and industry consultants - and, where relevant, technical experts, regulators and policymakers, and environmental specialists. When deeper qualitative validation is required, specialist expert interviews may be commissioned with selected industry leaders, scientists, engineers, and technology innovators.

Secondary Research
Systematic Secondary Research

Secondary research gathers data from a wide range of secondary databases. Our team diligently tracks these sources to closely monitor market trends and insights, compiling demand and supply-side perceptions for better outputs.

Secondary research data analysis and dashboards
Source Discovery

Systematically identify relevant industry databases, associations, company reports, annual reports, journals, white papers, research publications, investor presentations, press releases, verified external databases, and the internal DataM repository.

Source Evaluation

Sources are reviewed for relevance, recency, reliability, consistency, and market applicability.

Data Extraction

Extract market data, company information, industry trends, demand and supply indicators, pricing information, regulatory developments, and competitive intelligence.

Cross-Validation

Where appropriate, information from multiple independent sources is compared before being used in the final analysis.

Sources of Secondary Research
MagazinesPress ReleasesDatabaseWhite PapersInvestor PresentationsDataM Data RepositoryAssociationsCompany Annual ReportsJournalsWhite papers & Research PublicationsExternal Verified DatabasesInternal Database
Company Share Analysis
Company-Level Market Understanding

Company share analysis studies and assesses the entire company product portfolio - including company overview, product portfolio, developments, financials, and SWOT - to support market-size estimation and competitive understanding.

Company share analysis and strategic review
Competitive Positioning

Understand how companies are positioned within their market and against one another.

Market-Share Estimation

Use company-level intelligence to estimate and validate market shares.

Portfolio Assessment

Assess product portfolios, developments, and financials across the market.

Strategic Development

Analyze company strategies and growth that shape the market.

Company Understanding

Build a granular view of the companies that define the competitive landscape.

Market Sizing Input

Connect company intelligence directly to market-size estimation.

Company Share Analysis Sources
Company MappingProduct BenchmarkingCompany FinancialsAnnual ReportsCompany PresentationsEarnings Call TranscriptsDataM Data Repository
Market Size Estimation

Estimating the Market with Rigor

Both top-down and bottom-up approaches are used to estimate and validate the market's size and various other dependent submarkets.

Top-Down Approach

Start from broader market and industry figures and progressively narrow the estimate using relevant segmentation assumptions.

Bottom-Up Approach

Build market estimates from company, product, regional, application, or segment-level data where applicable.

Independent Validation

The outputs of multiple approaches are compared, and important assumptions are validated using primary and secondary research. All percentage shares, splits, and breakdowns are determined using secondary sources and verified through primary sources.

Segment-Level Estimation

The methodology is not only about the headline market size. It can also involve regions, segments, sub-segments, applications, product categories, and company shares - wherever applicable to the study.

Data Triangulation

360° Validation

Market numbers are derived from secondary research, validated through primary sources and company-share analysis, then refined through market engineering and regression to arrive at precise segment and sub-segment outputs.

Secondary ResearchPrimary ResearchCompany / Competitive AnalysisMarket Engineering & Quantitative AnalysisTriangulated Market Estimate
The Triangulation Principle

The market numbers for each segment and sub-segment are backed up and validated by primary, secondary, and company-share analysis - providing the best and most accurate data triangulation with 360° validation.

Analysis

Qualitative + Quantitative Analysis

The research methodology combines quantitative and qualitative analysis to produce the final market intelligence.

Quantitative Analysis

Focused on measurable market data and projections.

  • Market sizing
  • Growth rates
  • Segmentation
  • Forecasting
  • Market shares
  • Regional analysis
Qualitative Analysis

Focused on expert perspectives and market context.

  • Expert perspectives
  • Market drivers
  • Restraints
  • Trends
  • Competitive dynamics
  • Regulatory developments
  • Strategic implications
Combined Market Intelligence

Quantitative and qualitative analysis are combined to produce the final market intelligence - a balanced view of the numbers and the forces shaping them.

Final Research Output

Decision-Ready Market Intelligence

The complete methodology produces validated market estimates, segmentation intelligence, competitive insights, trend analysis, and strategic conclusions.

Validated Market Estimates

Market sizes and submarkets, backed by multi-source triangulation.

Segmentation Intelligence

Granular views across regions, segments, applications, and product categories.

Competitive Insights

Company-level understanding of market dynamics, shares, and strategy.

Trend Analysis

Adoption trends, drivers, and regulatory developments.

Strategic Conclusions

Clear, decision-oriented implications for business portfolios.

Decision-Ready Intelligence

The end goal is decision-ready market intelligence, not merely a research report.

An Iterative Methodology

Research is not purely linear. Findings may be revisited when new evidence, expert feedback, conflicting datasets, or validation results require assumptions to be reassessed. This validation loop - define, research, analyze, estimate, validate, refine - ensures the final intelligence is accurate, precise, and decision-oriented.