IoT Analytics Market Size, Share and Forecast to 2032

Research Methodology – IoT Analytics 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 IoT Analytics Market comprises the following key stages:

Market Indicator & Macro-Factor Analysis

Our baseline thesis for the IoT Analytics Market is developed by integrating key market indicators and macroeconomic variables. These include:

1 Factors considered while calculating market size and share

The number of companies and entities using IoT analytics tools and solutions.
The total amount of investment in IoT analytics technologies.
The regions where IoT analytics are most widely used.
The current and estimated future growth rates of the IoT analytics industry.
The market size of related sectors like IoT devices, big data, and artificial intelligence.
The number and size of contracts and partnerships in the IoT analytics industry.
The current market demand and potential growth in the usage of IoT analytics.

2 Key Market Indicators

The rate of adoption of IoT analytics across various industries.
The level of investment in R&D for IoT analytics solutions.
The number of patents filed related to IoT analytics.
The number of mergers and acquisitions in the IoT analytics industry.
The revenue generated by IoT analytics service providers.
The growth rate of ICT infrastructure that supports IoT analytics.

3 Growth Trends

Increasing use of IoT analytics in industry verticals like manufacturing, retail, and healthcare.
Growth in investments for developing advanced IoT analytics solutions.
The trend of integrating artificial intelligence and machine learning with IoT analytics.
Increasing demand for real-time data analysis.
The growth in the number of connected devices requiring IoT analytics.
Increasing emphasis on data privacy and security in IoT analytics.

3 Growth Trends

Increasing use of IoT analytics in industry verticals like manufacturing, retail, and healthcare.
Growth in investments for developing advanced IoT analytics solutions.
The trend of integrating artificial intelligence and machine learning with IoT analytics.
Increasing demand for real-time data analysis.
The growth in the number of connected devices requiring IoT analytics.
Increasing emphasis on data privacy and security in IoT analytics.

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 IoT Analytics 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 IoT Analytics 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: