Global AI in IoT
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The base year for the analysis is 2025. Historical data has been considered for the period from 2022 to 2025. The year 2026 is considered as the estimated base for forecasting, with projections covering the period from 2026 to 2034. When we deliver the report that time we updated report data till the purchase date.
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| Data Timeline | Historical Data: 2022-2025 | Base Year: 2025 | Forecast Period: 2026-2034 |
|---|---|
| Component Segment Analysis | Platforms, Software Solutions, Services |
| Technologies Segment Analysis | ML and Deep Learning, NLP |
| Vertical Segment Analysis | Manufacturing, Energy and Utilities, Transportation and Mobility, BFSI, Government and Defense, Retail, Healthcare and Life Sciences, Telecom, Others (agriculture, education, telecom, and tourism and hospitality) |
|---|---|
| Regions & Countries Analysis |
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According to Cognitive Market Research, the global AI in IoT market was USD 5.5 billion in 2024 and expand at a compound annual growth rate (CAGR) of 23.5% from 2024 to 2031.
| Market Size | 2021 (A) | 2025 (A) | 2033 (P) | CAGR |
|---|---|---|---|---|
| Global AI in IoT Market Sales Revenue | xxxx | xxxx | xxxx | 23.5% |
AI in IoT Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
Artificial intelligence (AI) in the Internet of Things (IoT) refers to the application of AI technology to analyze enormous volumes of data generated by IoT devices, such as machine learning and deep learning. It comprises using AI algorithms to IoT data in order to extract valuable information, discover trends, and make predictions or judgments. Furthermore, automation is another facet of AI in IoT, in which AI-powered solutions streamline procedures, optimize business processes, and enable autonomous decisions across the IoT landscape. Furthermore, the combination of artificial intelligence with IoT has the potential to generate numerous benefits for both enterprises and consumers. AI in IoT solutions has the potential to increase corporate efficiency and productivity while also reducing expenses. Additionally, it can give increased convenience and a better user experience for consumers; such AI in IoT market trends are expected to create multiple potential opportunities during the forecast period. Furthermore, combining AI with IoT can improve data management and analytics while also providing businesses with a better understanding of their products. Such increased variables are projected to create attractive prospects for artificial intelligence in IoT market growth throughout the predicted years. Factors such as increased digitalization, a greater demand for intelligent business systems, and increased use of innovative technologies all had a beneficial impact on market growth.
Increasing Big Data Volume - The expansion of big data, as well as the rapidly increasing volume and complexity of data, is being driven by increased mobile traffic, cloud computing traffic, and the development and use of technologies such as IoT and AI. Big data analytics is an effective means of distributing data and generating insightful and practical knowledge from huge amounts of information. Organizations can benefit from significant predictive analytics in a variety of areas, including operations, marketing, risk assessment, and raid detection. For example, in a 2020 research, about 90% of business professionals and enterprise analytics stated that data and analytics are crucial to their organization's digital transformation efforts. Data and analytics are rapidly becoming critical components for businesses. Need for Effective Data Management
Growing Importance of Cybersecurity Concerns High Costs
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In May 2021, Google has announced Nest Hub, a new IoT-focused offering. It integrates Google Assistant technology with Google Photos, allowing the user to monitor and control all connected devices from a single dashboard. It combines AI and IoT to enable data transmission between equipment and aid in the development of smart homes. By combining IoT and AI technologies, the solution will let users use linked devices more effectively.
(Source: https://support.google.com/googlenest/answer/9136909?hl=en-IN)
Top Companies Market Share in AI in IoT Industry: (In no particular order of Rank)
| Companies | 2022 (A) | 2023 (A) | 2024 (A) | 2025 (A) |
|---|---|---|---|---|
| Amazon Web Services Inc. (Amazon Inc.) | xxxx | xxxx | xxxx | xxxx |
| IBM Corporation | xxxx | xxxx | xxxx | xxxx |
| Autoplant Systems India Pvt. Ltd | xxxx | xxxx | xxxx | xxxx |
| SAP SE | xxxx | xxxx | xxxx | xxxx |
| Google LLC (Alphabet Inc.) | xxxx | xxxx | xxxx | xxxx |
| Microsoft Corporation | xxxx | xxxx | xxxx | xxxx |
| Oracle Corporation com Inc. | xxxx | xxxx | xxxx | xxxx |
| PTC Inc. | xxxx | xxxx | xxxx | xxxx |
| SAS Institute Inc. | xxxx | xxxx | xxxx | xxxx |
| General Electric | xxxx | xxxx | xxxx | xxxx |
| Hitachi ID Systems | xxxx | xxxx | xxxx | xxxx |
*List of Second Tier Companies, List of Third Tier/ Start-up Companies (Inquire with sales executive)
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According to Cognitive Market Research, in 2024, North America dominated the AI in IoT market. This is owing to the widespread adoption of AI and IoT technology across a variety of industries, such as manufacturing, retail, healthcare, automotive, and transportation. This is one of the elements fueling the growth of the industry being studied in this field. North America is a top research region for developing IoT and AI applications for new end-user sectors. Cisco reports that the United States and Canada will have the highest average per capita device and connection counts by 2022. Furthermore, the United States AI in IoT market had the greatest market share, while Canada's AI in IoT market was the fastest expanding in the North American region.
Asia Pacific has the fastest CAGR over the forecast period. The market in this domain is being propelled by the resources that both public and private sector organizations are allocating to the advancement of this discipline. Furthermore, China dominated the AI in the IoT industry, while India was the fastest-expanding market in Asia-Pacific.
The current report Scope analyzes AI in IoT Market on 6 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
The above graph is for illustrative purposes only.
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Our study will explain complete manufacturing process along with major raw materials required to manufacture end-product. This report helps to make effective decisions determining product position and will assist you to understand opportunities and threats around the globe.
The Global AI in IoT Market is witnessing significant growth in the near future.
In 2023, the Platforms segment accounted for noticeable share of global AI in IoT Market and is projected to experience significant growth in the near future.
The ML and Deep Learning segment is expected to expand at the significant CAGR retaining position throughout the forecast period.
Some of the key companies Amazon Web Services Inc. (Amazon Inc.) , Autoplant Systems India Pvt. Ltd and others are focusing on its strategy building model to strengthen its product portfolio and expand its business in the global market.
Research Associate at Cognitive Market Research
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Aarti Bagekari, an agile and achievement-focused market researcher with an innate ardor for deciphering the intricacies of the Service & Software sector. Backed by a profound insight into technology trends and consumer dynamics, she has committed herself to meticulously navigating the ever-evolving terrain of digital Services and software solutions.
I am Aarti Bagekari, worked as a research associate with strong passion for transforming complex information into strategic insights. My strong analytical skills, coupled with a deep understanding of market dynamics and consumer behavior, empower me to identify hidden opportunities and proactively mitigate risks for clients. As a part of team, I possess a skills in data analysis, segmentation, competitive landscape.
Global AI in IoT Market Report 2025 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing AI in IoT Industry growth. AI in IoT market has been segmented with the help of its Component, Technologies Vertical, and others. AI in IoT market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
The AI in IoT market is segmented by Component, helping businesses identify high-performing categories and target profitable segments. Analyzing demand and growth trends enables companies to tailor offerings, innovate, and align strategies, while highlighting fast-growing areas and those with slower potential.
Component of AI in IoT analyzed in this report are as follows:
The above Chart is for representative purposes and does not depict actual sale statistics. Access/Request the quantitative data to understand the trends and dominating segment of AI in IoT Industry. Request a Free Sample PDF!
Market segmentation by Technologies reveals how different industries drive demand for AI in IoT. It helps identify high-growth sectors, emerging opportunities, and saturated markets, enabling businesses to target promising applications and align strategies effectively.
Some of the key Technologies of AI in IoT are:
The above Graph is for representation purposes only. This chart does not depict actual Market share.
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According to Cognitive Market Research, Healthcare and life sciences dominated the AI in IoT market in 2024. Healthcare businesses can improve human performance in occupations such as making diagnostic or therapeutic decisions, supporting clinicians in illness treatment, and so on by collecting and processing high-frequency Internet of Things (IoT) sensor data using computer vision (AI). The combination of IoT and AI technologies (IoT) has the potential to improve routine physical mobility and balance assessments in healthcare greatly. Care practitioners can use IoT to expedite evaluation by reducing the number of steps required while ensuring the test is quantitative, trustworthy, and consistent.
Disclaimer:
| Component | Platforms, Software Solutions, Services |
| Technologies | ML and Deep Learning, NLP |
| Vertical | Manufacturing, Energy and Utilities, Transportation and Mobility, BFSI, Government and Defense, Retail, Healthcare and Life Sciences, Telecom, Others (agriculture, education, telecom, and tourism and hospitality) |
| List of Competitors | Amazon Web Services Inc. (Amazon Inc.), IBM Corporation, Autoplant Systems India Pvt. Ltd, SAP SE, Google LLC (Alphabet Inc.), Microsoft Corporation, Oracle Corporation com Inc., PTC Inc., SAS Institute Inc., General Electric, Hitachi ID Systems |
Chapter 1 2026 Geopolitical Outlook - AI in IoT Market Detailed Analysis
This chapter isn't just about technology; it’s about certainty. We show you how AI is being used in leading industries so you can apply those same 'High-Speed' and 'High-Accuracy' principles to your own market strategy
Chapter 2 AI's Impact on Market - Detailed Qualitative Analysis
This chapter will help you gain GLOBAL Market Analysis of AI in IoT. Further deep in this chapter, you will be able to review Global AI in IoT Market Split by various segments and Geographical Split.
Chapter 3 Global Market Analysis
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
You can purchase only the Executive Summary of Global Market (2019 vs 2024 vs 2031)
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
This chapter will help you gain North America Market Analysis of AI in IoT. Further deep in this chapter, you will be able to review North America AI in IoT Market Split by various segments and Country Split.
Chapter 4 North America Market Analysis
This chapter will help you gain Europe Market Analysis of AI in IoT. Further deep in this chapter, you will be able to review Europe AI in IoT Market Split by various segments and Country Split.
Chapter 5 Europe Market Analysis
This chapter will help you gain Asia Pacific Market Analysis of AI in IoT. Further deep in this chapter, you will be able to review Asia Pacific AI in IoT Market Split by various segments and Country Split.
Chapter 6 Asia Pacific Market Analysis
This chapter will help you gain South America Market Analysis of AI in IoT. Further deep in this chapter, you will be able to review South America AI in IoT Market Split by various segments and Country Split.
Chapter 7 South America Market Analysis
This chapter will help you gain Middle East Market Analysis of AI in IoT. Further deep in this chapter, you will be able to review Middle East AI in IoT Market Split by various segments and Country Split.
Chapter 8 Middle East Market Analysis
This chapter will help you gain Middle East Market Analysis of AI in IoT. Further deep in this chapter, you will be able to review Middle East AI in IoT Market Split by various segments and Country Split.
Chapter 9 Africa Market Analysis
This chapter provides an in-depth analysis of the market share among key competitors of AI in IoT. The analysis highlights each competitor's position in the market, growth trends, and financial performance, offering insights into competitive dynamics, and emerging players.
Chapter 10 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
This chapter would comprehensively cover market drivers, trends, restraints, opportunities, and various in-depth analyses like industrial chain, PESTEL, Porter’s Five Forces, and ESG, among others. It would also include product life cycle, technological advancements, and patent insights.
Chapter 11 Qualitative Analysis (Subject to Data Availability)
Segmentation Component Analysis 2019 -2031, will provide market size split by Component. This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 12 Market Split by Component Analysis 2022 - 2034
The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 13 Market Split by Technologies Analysis 2022 - 2034
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Chapter 14 Market Split by Vertical Analysis 2022 - 2034
Chapter 15 AI in IoT Price Trend Analysis
Chapter 16 AI in IoT Import/Export Analysis
Chapter 17 AI in IoT Production Analysis
Chapter 18 Gap Analysis
Chapter 19 Strategy Analysis
Chapter 20 Profitability and Gross Margin Analysis
Chapter 21 TAM Analysis
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global AI in IoT market
Chapter 22 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Chapter 23 Research Methodology and Sources
1 Data Gathering
2 Data Validation
3 Data Presentation
To maintain the integrity of our proprietary methodology and protect our elite expert network, specific source disclosures are reserved for our full-access partners. Our research framework is anchored by a 70:30 primary-to-secondary ratio, ensuring your strategy is driven by real-time market intelligence rather than recycled, publicly available, or AI-generated data. Every deliverable includes an exhaustive source directory and grants your team direct access to our lead analysts for bespoke strategic consultation.