Artificial Intelligence and Machine Learning in IoT Market Size, Trends, Shares, and Forecast - 2031

Historic Data: 2021-2023   |   Base Year: 2024   |   Forecast Period: 2025-2031

Coverage: Artificial Intelligence and Machine Learning in IoT Market covers analysis by Application , and Geography (North America, Europe, Asia Pacific, and South and Central America)

  • Report Date : Dec 2025
  • Report Code : TIPTE100000206
  • Category : Technology, Media and Telecommunications
  • Status : Upcoming
  • Available Report Formats : pdf-format excel-format
  • No. of Pages : 150
Page Updated: May 2018

Earlier machine learning techniques have been used extensively for a wide range of tasks including classification, regression and density estimation in a variety of application areas such as bioinformatics, speech recognition, spam detection, computer vision, fraud detection and advertising networks. Machine learning is the main method among those computational application to IoT and there are lots of application both in research and industry including energy, routing, and home automation and so on.

The report aims to provide an overview of global artificial intelligence and machine learning in IoT market with detailed market segmentation by application, and geography. The global artificial intelligence and machine learning in IoT market is expected to witness exponential growth during the forecast period so as to manage increasingly large amount of unstructured machine data available in almost all industry.

The objectives of this report are as follows:
- To provide overview of the global artificial intelligence and machine learning in IoT market
- To analyze and forecast the global artificial intelligence and machine learning in IoT market on the basis of its application
- To provide market size and forecast till 2031 for overall artificial intelligence and machine learning in IoT market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM), which is later sub-segmented by respective countries
- To evaluate market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend
- To provide exhaustive PEST analysis for all five regions
- To profiles key artificial intelligence and machine learning in IoT players influencing the market along with their SWOT analysis and market strategies

Some of the leading players in artificial intelligence and machine learning in IoT market are Google Inc., Cisco, IBM Corp., Microsoft Corp., Amazon Inc., PTC (ColdLight), Infobright, Mtell, Predikto, Predixion Software and Sight Machine

Artificial Intelligence and Machine Learning in IoT Report Scope

Report Attribute Details
Market size in 2024 US$ XX million
Market Size by 2031 US$ XX Million
Global CAGR (2025 - 2031)XX%
Historical Data 2021-2023
Forecast period 2025-2031
Segments Covered By Application
    Regions and Countries Covered North America
    • US
    • Canada
    • Mexico
    Europe
    • UK
    • Germany
    • France
    • Russia
    • Italy
    • Rest of Europe
    Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • Rest of Asia-Pacific
    South and Central America
    • Brazil
    • Argentina
    • Rest of South and Central America
    Middle East and Africa
    • South Africa
    • Saudi Arabia
    • UAE
    • Rest of Middle East and Africa
    Market leaders and key company profiles
    • Google Inc.
    • Cisco
    • IBM Corp.
    • Microsoft Corp.
    • Amazon Inc.
    • PTC (ColdLight)
    • Infobright
    • Mtell
    • Predikto
    Ankita Mittal
    Manager,
    Market Research & Consulting

    Ankita is a dynamic market research and consulting professional with over 8 years of experience across the technology, media, ICT, and electronics & semiconductor sectors. She has successfully led and delivered 100+ consulting and research assignments for global clients such as Microsoft, Oracle, NEC Corporation, SAP, KPMG, and Expeditors International. Her core competencies include market assessment, data analysis, forecasting, strategy formulation, competitive intelligence, and report writing.

    Ankita is adept at handling complete project cycles—from pre-sales proposal design and client discussions to post-sales delivery of actionable insights. She is skilled in managing cross-functional teams, structuring complex research modules, and aligning solutions with client-specific business goals. Her excellent communication, leadership, and presentation abilities have enabled her to consistently deliver value-driven outcomes in fast-paced and evolving market environments.

    • Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
    • PEST and SWOT Analysis
    • Market Size Value / Volume - Global, Regional, Country
    • Industry and Competitive Landscape
    • Excel Dataset

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