Research Methodology – Asset Performance Management 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 Asset Performance Management Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Asset Performance Management Market is developed by integrating key market indicators and macroeconomic variables. These include:
1 Factors considered while calculating market size and share
- Number of companies utilizing asset performance management (APM) solutions
- Trends in the acceptance of AI & predictive analytics in asset management practices
- Growth rate of industries adopting APM applications
- Product pricing strategies employed by APM service providers
- Revenue generated by primary players in the APM market
- Geographical distribution and penetration of APM services
2 Key Market Indicators
- Overall industry growth rates
- Investments in technologies such as IoT, AI, Machine Learning related to asset performance management
- Rise in number of APM service providers
- Growth rate of cloud-based APM solutions
- Digital transformation initiatives across businesses
- Adoption rate of APM solutions among SMEs and large enterprises
- Increase in regulatory compliance requirements for asset management
3 Growth Trends
- Increased adoption of advanced technologies like IoT, AI, and machine learning for predictive asset management
- Growth in integration of APM solutions with ERP and EAM solutions
- Increasing trend of cloud-based APM solutions
- Rising popularity of Risk-based Maintenance (RBM) and Condition-based Maintenance (CBM)
- Greater demand for real-time decision-making solutions for asset management
- Continuous innovation in technologies utilized within APM solutions
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 Asset Performance Management 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 Asset Performance Management 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