Research Methodology – Process Mining Software Market
At Straits Research, we adopt a rigorous 360° research approach that integrates both primary and secondary research methodologies. This ensures accuracy, reliability, and actionable insights for stakeholders. Our methodology for the Process Mining Software Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Process Mining Software Market is developed by integrating key market indicators and macroeconomic variables. These include:
1 Factors considered while calculating market size and share
- Market demand and supply.
- Number of end-user industries integrating Process Mining Software.
- The size of the end-user industry.
- Number of competitors in the market and their market share.
- Revenue generated by process mining software from different geographical areas.
- Volume of units sold by each vendor in the market.
- Market trends and technological advancements in process mining software.
- Pricing strategy adopted by various vendors.
2 Key Market Indicators
- The complexity of Business Process Management (BPM) in different industries.
- Level of digitalization in the operational process of industries.
- Rate of software adoption in small, medium, and large enterprises.
- Number of vendors providing process mining software and their geographical reach.
- Policies, laws, and regulations regarding data security and privacy in different regions.
- Investments in the IT sector.
- Rate of process automation in various industries.
3 Growth Trends
- The rise in the demand for software that can analyze, optimize and automate business processes.
- Increasing need for improved process transparency within organizations.
- Integration of AI and Machine Learning with process mining software.
- Increasing adoption of digitalization and automation across various sectors.
- Growth of end-user industries who use process mining software.
- Increasing emphasis on data-based decision making in organizations.
- Surge in demand for cloud-based process mining software due to the rising trend of remote work.
Secondary Research
Our secondary research forms the foundation of market understanding and scope definition. We collect and analyze information from multiple reliable sources to map the overall ecosystem of the Process Mining Software Market. Key inputs include:
- Annual reports, investor presentations, SEC filings
- Company press releases and product launch announcements
- Public executive interviews and earnings calls
- Strategy briefings and M&A updates
- Country-level industry associations and trade bodies
- Government dossiers, policy frameworks, and official releases
- Whitepapers, working papers, and public R&D initiatives
- Relevant Associations for the Process Mining Software Market
- Broker reports and financial analyst coverage
- Paid databases (Hoovers, Factiva, Refinitiv, Reuters, Statista, etc.)
- Import/export trade data and tariff databases
- Sector-specific journals, magazines, and news portals
- Global macroeconomic indicators and their cascading effect on the industry
- Demand–supply outlook and value chain analysis
- Consumer behaviour, adoption rates, and commercialization trends
Primary Research
To validate and enrich our secondary findings, we conduct extensive primary research with industry stakeholders across the value chain. This ensures we capture both qualitative insights and quantitative validation. Our primary research includes:
- Key Opinion Leader (KOL) Engagements
- Structured interviews with executives, product managers, and domain experts
- Paid and barter-based interviews across manufacturers, distributors, and end-users
- Discussions with stakeholders to validate demand-supply gaps
- Group discussions on emerging technologies, regulatory shifts, and adoption barriers
- Cross-verification of market sizing and forecasts with industry insiders
- Capturing business perspectives on growth opportunities and restraints
Data Triangulation & Forecasting
The final step of our research involves data triangulation ensuring accuracy through cross-verification of:
- Demand-side analysis (consumption patterns, adoption trends, customer spending)
- Supply-side analysis (production, capacity, distribution, and market availability)
- Macroeconomic & microeconomic impact factors
- Time-series analysis
- Regression and correlation studies
- Baseline modeling
- Expert validation at each stage
Outcome
The outcome is a comprehensive and validated market model that captures:
- Market sizing (historical, current, forecast)
- Growth drivers and restraints
- Opportunity mapping and investment hotspots
- Competitive positioning and strategic insights
Our Clients:
