Research Methodology – Robotic Process Automation 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 Robotic Process Automation Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Robotic Process Automation Market is developed by integrating key market indicators and macroeconomic variables. These include:
1 Factors considered while calculating market size and share
- Demand for Robotic Process Automation (RPA) from different industry sectors like healthcare, BFSI, manufacturing, etc.
- The number of key players present in the market.
- Revenue generated by the sales of RPA systems across different regions.
- Impact of technological advancements on the adoption and use of RPA.
- Government regulations and policies related to RPA adoption and its safety.
- Adoption rate of RPA in small and medium-sized enterprises.
- Investments in the RPA sector and cost of acquiring RPA systems.
2 Key Market Indicators
- The global and regional growth rate of the RPA market.
- Year-on-year growth of the RPA market.
- Market share of major RPA vendors.
- Adoption rates of RPA in different industries.
- Number of RPA implementations and the scale of these implementations.
- Growth of RPA-related services like training and support.
- Rate of innovation and development in RPA technologies.
3 Growth Trends
- Increased adoption of RPA in various industries driven by digital transformation initiatives.
- Growth in investment and funding in RPA technology by venture capitalists.
- Emergence of advanced RPA technologies such as cognitive RPA and intelligent automation.
- Rise in the use of RPA for business process optimization and productivity enhancement.
- Integration of RPA with other transformative technologies like AI and Machine Learning.
- Increasing demand for cloud-based RPA solutions due to scalability and cost-effectiveness.
- Growth in the adoption of RPA for handling high-volume, repetitive tasks.
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 Robotic Process Automation Market. Key inputs include:
Company-Level Information
- 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
Industry and Government Sources
- 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 Robotic Process Automation Market
Market Intelligence Sources
- 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
Macro & Consumer Insights
- 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:
Expert Insights & KOL Engagements
- 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
Focused Discussions & Panels
- Discussions with stakeholders to validate demand-supply gaps
- Group discussions on emerging technologies, regulatory shifts, and adoption barriers
Data Validation & Business POV
- 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
Forecasting is carried out using proprietary models that combine:
- 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