Artificial Intelligence in IoT Market: Regional Outlook and Market Segmentation Overview, Forecast to 2033

The global artificial intelligence in IoT market size was valued at USD 9.25 billion in 2024 and is expected to grow from USD 11.08 billion in 2025 to reach USD 47.78 billion by 2033, growing at a CAGR of 19.8% during the forecast period (2025-2033).

Artificial Intelligence in IoT Industry Outlook 2025:

The Artificial Intelligence in IoT Industry Report delivers a detailed examination of the market, covering essential insights into market size, projected growth, and major trends. This report provides an in-depth view of the market through segmentation by region, by segments, along with targeted analysis designed to support informed strategic decisions. Evaluating the industry’s dynamics, the report highlights key growth drivers, challenges, and emerging opportunities. Artificial Intelligence in IoT market research report has been prepared with most up-to-date insight and analysis to give maximum key benefits to the Artificial Intelligence in IoT industry. Besides, this professional report also contains historic data, present and future market key trends, environment, global technological innovation, upcoming trends and technologies and the technical progress in the associated industry.

According to Straits Research, the global artificial intelligence in iot market size was valued at USD 1,581 Million in 2021. It is projected to reach from USD XX Million in 2022 to USD 11774 Million by 2030, growing at a 28.53 during the forecast period (2022–2030).

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The Top Companies in this Report Include:

  1. Amazon Web Services Inc. (Amazon Inc.)
  2. IBM Corporation
  3. Autoplant Systems India Pvt. Ltd
  4. SAP SE
  5. Google LLC (Alphabet Inc.)
  6. Microsoft Corporation
  7. Oracle Corporation
  8. Salesforce.com Inc.
  9. PTC Inc.
  10. SAS Institute Inc.
  11. General Electric
  12. Hitachi ID Systems

StraitsResearch offers in-depth insights into the market. It presents the study in a comprehensible chapter-wise format, interspersed with data and applicable infographics. The report accepts an analytical approach to help our clients get better considerate about the market. Our expert market research analysts in the various industry domain carries out an widespread primary and secondary research with the benefit of digital intelligence for enhanced decision making.

Artificial Intelligence in IoT Market 2025-2033: Key Highlights

  • CAGR of the market during the estimate period 2025-2033
  • Detailed information on key factors that will assist Artificial Intelligence in IoT market development during the next five years
  • Estimation of the Artificial Intelligence in IoT market size, share and its influence to the parent market
  • Calculations on upcoming industry trends and changes in consumer behaviour
  • The evolution of the Artificial Intelligence in IoT market
  • Analysis of the market's reasonable landscape and detailed information on key vendors
  • Comprehensive details of key factors that will challenge the growth of Artificial Intelligence in IoT market key players

Detailed Segmentation:

  1. By Component
    1. Platform
    2. Software
    3. Services
      1. Professional Services
        1. Deployment and Integration
        2. Support and Maintenance
        3. Training and Consulting
      2. Managed Services
  2. By Technology
    1. ML and Deep Learning
    2. NLP
  3. By End User
    1. Manufacturing
    2. Energy and Utilities
    3. Transportation and Mobility
    4. BFSI
    5. Government and Defense
    6. Retail
    7. Healthcare and Life Sciences
    8. Telecom
    9. Others(agriculture, education, telecom, and tourism and hospitality)

Market Segmentation: https://straitsresearch.com/report/artificial-intelligence-in-iot-market/segmentation

Top Economic Indicators Essential for Industry Professionals

The report provides insights into key economic factors crucial to the Artificial Intelligence in IoT, which includes:

  • Production Costs (COGS): Covering materials, labor, and overhead associated with manufacturing.
  • Innovation Costs (R&D): Investment in technology advancements, particularly in EVs and safety.
  • Operational Costs (SG&A): Including marketing, sales, and administration expenses.
  • Logistics Costs: Expenses for product transport and distribution.
  • Service and Warranty Costs: Post-sale service and warranty-related expenses.
  • Revenue and Profitability Metrics: Insight into per-unit revenue, gross margin, and net profit.
  • Break-even and Economies of Scale Analysis: Calculations on cost efficiency as production scales.

Frequently Asked Questions in the Artificial Intelligence in IoT Research Report

  • What recent initiatives have key players adopted to enhance brand and customer engagement?
  • Which firms are leading in adopting long-term ESG and sustainability initiatives?
  • What were the most effective strategies employed to handle challenges from the pandemic?
  • How are current global trends impacting Artificial Intelligence in IoT demand, especially in the U.S.?
  • What are the significant growth opportunities, and how will mining adoption impact the sector?
  • How are industry trends creating new revenue opportunities?

Scope of the Report

  • COVID-19 Impact: This section explores both immediate and enduring effects of the pandemic on Artificial Intelligence in IoT segments.
  • Supply Chain Analysis: Focus on changes in distribution channels and logistics.
  • Geopolitical Impact: Evaluates effects of the Middle East crisis on supply chains and market stability.

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