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Artificial Intelligence in IoT Market Size & Outlook, 2025-2033

Artificial Intelligence in IoT Market Size, Share & Trends Analysis Report By Component (Hardware, Software, Services), By Applications (Predictive Maintenance, Asset Management, Smart Manufacturing, Smart Homes), By Technology (Machine Learning, Natural Language Processing, Computer Vision), By End-User (Industrial, Consumer, Healthcare, Retail) and By Region(North America, Europe, APAC, Middle East and Africa, LATAM) Forecasts, 2025-2033

Report Code: SRTE2500DR
Last Updated : Jun, 2025
Pages : 110
Author : Pavan Warade
Format : PDF, Excel

Research Methodology – Artificial Intelligence in IoT 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 Artificial Intelligence in IoT Market comprises the following key stages:


Market Indicator & Macro-Factor Analysis

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

Factors considered while calculating market size and share

  • Number of vendors providing AI and IoT solutions
  • The global reach of these vendors
  • The revenue generated by these vendors from AI and IoT solutions
  • Demand for AI and IoT technology across different industries
  • Rate of adoption of AI and IoT technology by enterprises
  • Investments in AI and IoT technology
  • Government regulations and policies around AI and IoT

Key Market Indicators

  • Global AI and IoT market revenue and forecasts
  • Market growth rate
  • Vendor market share
  • Level of market concentration
  • Price trends of AI and IoT solutions
  • Technology trends in the AI and IoT market
  • Industry demand

Growth Trends

  • Increased use of AI in IoT devices
  • Growth in Smart Home applications
  • Rapid adoption of cloud-based solutions for data storage
  • High demand for intelligent and connected devices
  • The rise of Industry 4.0 and Increase in Industrial IoT (IIoT) applications
  • Increasing government initiatives for smart cities

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 Artificial Intelligence in IoT 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 Artificial Intelligence in IoT 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

Available for purchase with detailed segment data, forecasts, and regional insights.

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