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AIoT Platforms Market Size is valued at USD 6.9 billion in 2024 and is predicted to reach USD 158.1 billion by the year 2034 at a 37.0% CAGR during the forecast period for 2025-2034.
Key Industry Insights & Findings from the Report:
The integration of IoT technology has become crucial for a multitude of organizations seeking to undergo digital transformation. IoT enables businesses to enhance their operations and develop innovative business models. As a result, many enterprises and service providers recognize IoT as the principal driver of digital transformation, providing them with the means to improve operational efficiency. This increasing awareness of IoT's potential as a critical component of business success has led to a rise in its adoption.
The expanded adoption of digital technologies and the internet has recently expanded the global artificial intelligence industry. Additionally, technology giants' substantial investments in research and development continue to advance technological breakthroughs across various sectors. The artificial intelligence ops platform market is being propelled by multiple factors, such as the surge in IT connectivity, heightened demand for image recognition systems, and a rise in data volume, which has triggered a greater need for analytics solutions.
Conversely, system disruptions due to virus attacks and limited government initiatives to promote artificial intelligence in IT solutions hinder the market's growth. Major market players are seizing opportunities to acquire advanced technologies. Moreover, the increasing intelligence of devices leads to greater complexity in systems and escalating data volumes. This is driving the adoption of artificial intelligence for IT operations (AIOps).
The AIoT Platforms market is segmented based on offerings and End-Users. Offerings segment includes solutions and services. The Solutions segment comprises Device Management, Application Management, Connectivity Management. Whereas, Services category comprises Professional Services and Managed Services. By End-Users, the AIoT Platforms market is segmented into BFSI, manufacturing, healthcare, energy & utilities, retail, transportation & logistics, and other applications.
The Healthcare category is expected to hold a major share of the global AIoT Platforms market. By leveraging high-frequency data from Internet of Things (IoT) sensors and computer vision (AI), healthcare organizations can enhance human performance on tasks such as diagnostic or therapeutic decisions, thereby supporting clinicians in treating diseases. Incorporating IoT and AI technologies can also revolutionize routine physical assessments of mobility and balance, streamlining the process while ensuring quantifiable, consistent, and reproducible results. Despite the critical role of refrigerators in storing vaccines such as the COVID-19 vaccine, hospitals, clinics, pharmaceuticals, and academic institutes often lack real-time visibility into their refrigerators' condition and performance. There is a growing need for IoT-based predictive maintenance in vaccine logistics to address this issue to ensure their safe storage and transportation.
The services segment is projected to grow rapidly in the global AIoT Platforms market. AIOT can be applied to connected device data monitoring and analysis to anticipate when maintenance or repairs will be required, minimizing costs and downtime. Lighting, temperature, security, and energy use are just a few systems in houses and buildings that may be controlled and automated with AIOT. Supply chain management, quality assurance, and predictive maintenance are just a few examples of manufacturing and industrial processes that AIOT can be utilized to optimize. These are the main elements behind the market's expansion.
The North America, AIoT Platforms market is expected to report the most increased market share in revenue shortly. The rapid adoption of AI and IoT technologies across diverse industries, such as automotive and transportation, manufacturing, retail, and healthcare, is a major driving force behind the market growth in this region. North America is a key region for research into developing AI and IoT applications across new end-user industries. In addition, Europe is projected to grow rapidly in the global AIoT Platforms market. The development of platforms for different verticals is being carried out by several organizations, ranging from tech start-ups to industry giants. Significant R&D investments and the continued digital transformation in developed economies are also driving the adoption of platforms in the region.
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Report Attribute |
Specifications |
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Market size value in 2024 |
USD 6.9 Bn |
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Revenue forecast in 2034 |
USD 158.1 Bn |
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Growth rate CAGR |
CAGR of 37.0% from 2025 to 2034 |
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Quantitative units |
Representation of revenue in US$ Billion, and CAGR from 2024 to 2031 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report coverage |
The forecast of revenue, the position of the company, the competitive market statistics, growth prospects, and trends |
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Segments covered |
Offerings And End-Users |
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Regional scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; South Korea; Southeast Asia |
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Competitive Landscape |
IBM (US), Sharp Global (Japan), Google(US), AWS (US), Microsoft (US), Oracle (US), HPE (US), Cisco (US), Intel (US), Tencent, Cloud (China), NXP (Netherlands), SAS (US), Hitachi (Japan), SAP (Germany), AxiomTek(Taiwan), Autoplant Systems India Pvt. Ltd.(India), Williot (Israel), Cognosos (US), Relayr(US), Terminus Group (China), Semifive(South Korea), Uptake (Chicago), Falkonry(US) and Sightmachine (US) . |
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Customization scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing and available payment methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AIoT Platforms Market Snapshot
Chapter 4. Global AIoT Platforms Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: by Offerings Estimates & Trend Analysis
5.1. by Offerings & Market Share, 2024 & 2034
5.2. Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Offerings:
5.2.1. Solutions
5.2.1.1. Device Management
5.2.1.2. Application Management
5.2.1.3. Connectivity Management
5.2.2. Services
5.2.2.1. Professional Services
5.2.2.1.1. Deployment and Integration
5.2.2.1.2. Support and Maintenance
5.2.2.1.3. Training and Consulting
5.2.2.2. Managed Services
Chapter 6. Market Segmentation 2: by End-users Estimates & Trend Analysis
6.1. by End-users & Market Share, 2024 & 2034
6.2. Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following by End-users:
6.2.1. BFSI
6.2.2. Manufacturing
6.2.3. Healthcare
6.2.4. Energy & Utilities
6.2.5. Retail
6.2.6. Transportation & Logistics
6.2.7. Other Applications
Chapter 7. AIoT Platforms Market Segmentation 3: Regional Estimates & Trend Analysis
7.1. North America
7.1.1. North America AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by Offerings, 2021-2034
7.1.2. North America AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by End-users, 2021-2034
7.1.3. North America AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
7.2. Europe
7.2.1. Europe AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by Offerings, 2021-2034
7.2.2. Europe AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by End-users, 2021-2034
7.2.3. Europe AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
7.3. Asia Pacific
7.3.1. Asia Pacific AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by Offerings, 2021-2034
7.3.2. Asia Pacific AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by End-users, 2021-2034
7.3.3. Asia Pacific AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
7.4. Latin America
7.4.1. Latin America AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by Offerings, 2021-2034
7.4.2. Latin America AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by End-users, 2021-2034
7.4.3. Latin America AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
7.5. Middle East & Africa
7.5.1. Middle East & Africa AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by Offerings, 2021-2034
7.5.2. Middle East & Africa AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by End-users, 2021-2034
7.5.3. Middle East & Africa AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
Chapter 8. Competitive Landscape
8.1. Major Mergers and Acquisitions/Strategic Alliances
8.2. Company Profiles
8.2.1. IBM (US)
8.2.2. Sharp Global (Japan)
8.2.3. Google(US)
8.2.4. AWS (US)
8.2.5. Microsoft (US)
8.2.6. Oracle (US)
8.2.7. HPE (US)
8.2.8. Cisco (US)
8.2.9. Intel (US)
8.2.10. Tencent
8.2.11. Cloud (China)
8.2.12. NXP (Netherlands)
8.2.13. SAS (US)
8.2.14. Hitachi (Japan)
8.2.15. SAP (Germany)
8.2.16. AxiomTek(Taiwan)
8.2.17. Autoplant Systems India Pvt. Ltd.(India)
8.2.18. Williot (Israel)
8.2.19. Cognosos (US)
8.2.20. Relayr(US)
8.2.21. Terminus Group (China)
8.2.22. Semifive(South Korea)
8.2.23. Uptake (Chicago)
8.2.24. Falkonry(US)
8.2.25. Sightmachine (US)
8.2.26. Other Prominent Players
AIoT Platforms Market By Offerings-
AIoT Platforms Market By End-Users-
AIoT Platforms Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
