×
Request Free Sample ×

Kindly complete the form below to receive a free sample of this Report

* Please use a valid business email

Leading companies partner with us for data-driven Insights

clients tt-cursor
Hero Background

Artificial Intelligence of Things Market

ID: MRFR/ICT/8814-HCR
100 Pages
Garvit Vyas
October 2025

Artificial Intelligence of Things (AIoT) Market Size, Share and Trends Analysis Report By Application (Smart Homes and Buildings, Industrial Automation, Healthcare, Transportation and Logistics, Retail and Consumer Electronics), By Component Type (Sensors and Actuators, Edge Devices and Gateways, Cloud Platforms, Software and Analytics, Networking Infrastructure), By End User (Consumers, Enterprises (SMEs and Large Enterprises), Government Agencies, Utilities, Healthcare Providers), By Deployment Model (On-Premise, Cloud-Based, Hybrid), By A... read more

Share:
Download PDF ×

We do not share your information with anyone. However, we may send you emails based on your report interest from time to time. You may contact us at any time to opt-out.

Artificial Intelligence of Things Market Infographic
Purchase Options

Artificial Intelligence of Things Market Summary

As per Market Research Future analysis, the Artificial Intelligence of Things Market Size was estimated at 52.53 USD Billion in 2024. The Artificial Intelligence of Things industry is projected to grow from 63.78 USD Billion in 2025 to 443.89 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 21.41% during the forecast period 2025 - 2035

Key Market Trends & Highlights

The Artificial Intelligence of Things Market is poised for substantial growth driven by technological advancements and increasing demand for smart solutions.

  • North America remains the largest market for Artificial Intelligence of Things, driven by robust technological infrastructure.
  • The Asia-Pacific region is emerging as the fastest-growing market, fueled by rapid urbanization and digital transformation initiatives.
  • The Smart Home segment leads in market size, while the Healthcare segment is experiencing the fastest growth due to rising health awareness.
  • Key market drivers include the rising demand for smart devices and the integration of AI with IoT solutions, enhancing operational efficiency.

Market Size & Forecast

2024 Market Size 52.53 (USD Billion)
2035 Market Size 443.89 (USD Billion)
CAGR (2025 - 2035) 21.41%

Major Players

IBM (US), Microsoft (US), Google (US), Amazon (US), Intel (US), Siemens (DE), Cisco (US), General Electric (US), Qualcomm (US)

Artificial Intelligence of Things Market Trends

The Artificial Intelligence of Things Market is currently experiencing a transformative phase, characterized by the convergence of artificial intelligence and the Internet of Things. This integration enables devices to not only collect data but also analyze and act upon it autonomously. As organizations increasingly recognize the potential of this synergy, applications across various sectors, including healthcare, manufacturing, and smart cities, are emerging. The market appears to be driven by advancements in machine learning algorithms, enhanced connectivity, and the growing demand for automation. Furthermore, the emphasis on data security and privacy is likely to shape the development of solutions within this domain, as stakeholders seek to balance innovation with ethical considerations. In addition, the Artificial Intelligence of Things Market seems poised for further growth as businesses strive to enhance operational efficiency and customer experiences. The rise of edge computing is also influencing this landscape, allowing for real-time data processing closer to the source. This shift may lead to reduced latency and improved responsiveness in applications. Moreover, the collaboration between technology providers and industry players is expected to foster innovation, creating new opportunities for market expansion. Overall, the future of the Artificial Intelligence of Things Market appears promising, with numerous possibilities for enhancing productivity and driving economic growth.

Increased Automation in Industries

The trend towards automation is becoming more pronounced as organizations leverage artificial intelligence to streamline operations. This shift allows for improved efficiency and reduced human error, particularly in sectors such as manufacturing and logistics.

Enhanced Data Analytics Capabilities

As the volume of data generated by connected devices continues to rise, the demand for sophisticated analytics tools is growing. These tools enable businesses to derive actionable insights from vast datasets, facilitating informed decision-making.

Focus on Security and Privacy

With the proliferation of connected devices, concerns regarding data security and privacy are escalating. Stakeholders are increasingly prioritizing the development of robust security measures to protect sensitive information and maintain user trust.

Artificial Intelligence of Things Market Drivers

Rapid Technological Advancements

The Global Artificial Intelligence of Things Market (AIoT) Market Industry is propelled by rapid technological advancements in AI and IoT. Innovations in machine learning, natural language processing, and edge computing are enhancing the capabilities of connected devices. For instance, smart home devices are becoming increasingly sophisticated, allowing for seamless integration and automation. As of 2024, the market is valued at 52.5 USD Billion, indicating a robust growth trajectory. This trend is expected to continue as businesses and consumers alike seek more efficient and intelligent solutions, thereby driving demand for AIoT technologies.

Market Segment Insights

By Application: Smart Home (Largest) vs. Healthcare (Fastest-Growing)

In the Artificial Intelligence of Things (AIoT) market, the application segment showcases diverse growth across various domains. Smart Home applications hold the largest share, driven by the increasing adoption of smart devices that enhance convenience and energy efficiency in households. Following closely are sectors like Industrial Automation and Transportation, which are seeing significant integration of AIoT technologies to streamline operations and improve safety measures. Healthcare, while smaller in market share, is rapidly gaining traction due to the rise of connected medical devices and telehealth solutions. Growth trends indicate that while Smart Home applications continue to dominate, sectors like Healthcare are emerging as the fastest-growing segment. This surge is attributed to advancements in AI-driven health monitoring tools, patient management systems, and predictive analytics. Furthermore, as industries increasingly recognize the benefits of AIoT integration, we see substantial investment directed toward Industrial Automation and Energy Management, indicating a shift towards smarter operations and sustainability.

Smart Home (Dominant) vs. Energy Management (Emerging)

Smart Home applications are characterized by their focus on convenience, security, and energy efficiency. These solutions are widely adopted, with products like smart thermostats, lighting systems, and security cameras becoming commonplace in residential settings. Their dominance stems from the seamless integration of AI technologies that enhance user experience and lower energy costs. In contrast, Energy Management solutions are emerging as crucial in the AIoT landscape. They leverage AI to optimize energy consumption and improve sustainability. With increasing concerns about climate change, the demand for intelligent grid management systems and smart meters is growing, driving innovation in this segment. Together, these applications illustrate the diverse capabilities of AIoT, with each addressing unique challenges in today’s interconnected world.

By End Use: Manufacturing (Largest) vs. Healthcare (Fastest-Growing)

The Artificial Intelligence of Things (AIoT) market exhibits a diverse range of applications across various end-use segments, with manufacturing holding the largest share due to its extensive integration of AI technologies for optimizing production processes and reducing operational costs. In contrast, healthcare is emerging as the fastest-growing segment, driven by the increasing demand for telemedicine, patient monitoring systems, and AI-powered diagnostic tools that enhance patient outcomes and reduce costs in healthcare delivery.

Manufacturing (Dominant) vs. Healthcare (Emerging)

The manufacturing sector is currently the dominant force in the AIoT market, characterized by its robust investment in smart factories that utilize AI for predictive maintenance, supply chain management, and quality control. This integration leads to increased productivity and enhanced efficiency, making it a critical area for technology advancement. Conversely, the healthcare sector is an emerging player, rapidly adopting AIoT solutions to streamline operations, improve patient care, and enable remote health monitoring. Factors such as aging populations and the global move towards digital health are propelling the growth of AIoT applications in healthcare, positioning it as a significant player in the market.

By Technology: Machine Learning (Largest) vs. Natural Language Processing (Fastest-Growing)

In the Artificial Intelligence of Things Market, machine learning has significantly established its footprint, commanding the largest market share among its peers. This segment's robust adoption is attributed to its versatility across various applications, including predictive analytics and automation. On the other hand, natural language processing is witnessing unparalleled growth, rapidly becoming the preferred choice for developers aiming to enhance human-computer interaction. Its relevance in chatbots and voice-assisted technologies underpins a strong demand across industries, propelling its market value upwards.

Technology: Machine Learning (Dominant) vs. Natural Language Processing (Emerging)

Machine learning is at the core of the Artificial Intelligence of Things Market, driving innovations that automate processes and analyze vast datasets efficiently. It thrives due to techniques such as supervised and unsupervised learning that further enhance its capabilities. Conversely, natural language processing is emerging vigorously, integrating advanced algorithms that enable machines to understand and process human languages effectively. This technology's application in voice recognition and sentiment analysis is broadening its horizons, positioning it as a critical driveline for AI-powered devices. The synergy of these technologies fosters an ecosystem that expands capabilities and enhances user experience.

By Component: Sensors (Largest) vs. Software (Fastest-Growing)

The Artificial Intelligence of Things (AIoT) market exhibits a diverse range of components, with sensors dominating the market share. As pivotal elements in intelligent systems, sensors play a crucial role in data collection across various applications, reinforcing their position as the primary component in the AIoT market. In contrast, software solutions, though currently smaller in share, are rapidly evolving, and are recognized as the fastest-growing segment, driven by the increasing need for advanced analytics and machine learning capabilities. Over recent years, the growth dynamics of the AIoT market have shifted significantly, influenced by technological advancements and rising adoption rates in various sectors. The emergence of new applications and functionalities linked to connectivity and automation continues to stimulate interest in sensors, while software components are experiencing unprecedented demand. This surge is propelled by the critical need for more sophisticated software solutions that drive intelligent data processing, enhance connectivity, and optimize system performance, indicating a robust future for the AIoT landscape.

Software: Leading (Dominant) vs. Data Processing Units (Emerging)

Software solutions in the AIoT market are characterized by their ability to drive innovation, streamline operations, and facilitate complex analyses. As a dominant player, software solutions enhance the functionality of AIoT systems through real-time monitoring, predictive analytics, and machine learning algorithms. This empowers organizations to harness vast amounts of data for insight-driven decision-making. On the other hand, data processing units are emerging as critical components aimed at improving processing speed and efficiency within AIoT applications. With the rise of edge computing and the growing volume of data generated by IoT devices, data processing units are gaining traction for their capability to execute advanced analytics locally. As both segments evolve, their characteristics reflect the broader trends of automation and smart connectivity within the AIoT ecosystem.

By Deployment Model: Cloud-Based (Largest) vs. Hybrid (Fastest-Growing)

In the Artificial Intelligence of Things Market, the deployment model segment is primarily characterized by significant share distributions among On-Premises, Cloud-Based, and Hybrid solutions. Cloud-Based deployment holds the largest share due to its scalability, accessibility, and lower upfront investment costs. In contrast, On-Premises solutions are favored by enterprises that prioritize data security and control, while Hybrid deployments are emerging rapidly, combining the strengths of both On-Premises and Cloud systems to meet diverse business requirements.

Deployment Model: Cloud-Based (Dominant) vs. Hybrid (Emerging)

Cloud-Based deployment in the Artificial Intelligence of Things Market is recognized for its dominance due to its ability to offer flexibility and unlimited scalability to businesses. It facilitates seamless integration of AI technologies and IoT devices while providing cost-effective data storage solutions. On the other hand, Hybrid deployment is rapidly becoming an emerging choice for enterprises that seek to strike a balance between agility and security. It allows organizations to maintain sensitive data on-premises while utilizing the cloud for overflow capacity and advanced analytics. This adaptability and duality of operation make Hybrid deployment increasingly attractive to businesses aiming for optimal performance.

Get more detailed insights about Artificial Intelligence of Things Market

Regional Insights

North America : Innovation and Leadership Hub

North America continues to lead the Artificial Intelligence of Things (AIoT) market, holding a significant share of 26.27% in 2024. The region's growth is driven by rapid technological advancements, increased investment in AI research, and a robust infrastructure supporting IoT applications. Regulatory support from government initiatives further catalyzes market expansion, fostering innovation and adoption across various sectors. The competitive landscape is characterized by major players such as IBM, Microsoft, and Google, which are at the forefront of AIoT development. The United States remains the leading country, with a strong focus on integrating AI with IoT solutions. This synergy enhances operational efficiency and drives demand across industries, positioning North America as a pivotal player in the global AIoT ecosystem.

Europe : Emerging AIoT Powerhouse

Europe is witnessing a surge in the Artificial Intelligence of Things (AIoT) market, with a market size of 12.76% in 2024. The region's growth is fueled by increasing investments in smart technologies and a strong regulatory framework promoting digital transformation. Initiatives aimed at enhancing connectivity and data security are pivotal in driving demand for AIoT solutions across various sectors, including manufacturing and healthcare. Leading countries such as Germany and the UK are at the forefront of AIoT innovation, supported by key players like Siemens and Cisco. The competitive landscape is evolving, with a focus on sustainable and efficient solutions. The European market is characterized by collaboration between tech companies and government bodies, ensuring a conducive environment for AIoT advancements. "The European Union aims to be a global leader in AI, ensuring that it serves people and the planet," stated a recent EU report.

Asia-Pacific : Rapidly Growing Market

The Asia-Pacific region is emerging as a significant player in the Artificial Intelligence of Things (AIoT) market, with a market size of 10.15% in 2024. The growth is driven by increasing urbanization, rising demand for smart devices, and government initiatives promoting digital innovation. Countries in this region are rapidly adopting AIoT technologies to enhance operational efficiency and improve quality of life, supported by favorable regulatory environments. China and Japan are leading the charge in AIoT adoption, with major companies like Intel and Qualcomm investing heavily in research and development. The competitive landscape is marked by a mix of established tech giants and innovative startups, creating a dynamic ecosystem. As the region continues to embrace AIoT, it is poised for substantial growth, contributing significantly to the global market.

Middle East and Africa : Emerging Market Potential

The Middle East and Africa (MEA) region is gradually emerging in the Artificial Intelligence of Things (AIoT) market, with a market size of 3.35% in 2024. The growth is primarily driven by increasing investments in smart city initiatives and digital transformation projects. Governments in the region are focusing on enhancing connectivity and infrastructure, which is crucial for the adoption of AIoT technologies across various sectors, including energy and transportation. Countries like the UAE and South Africa are leading the way in AIoT implementation, supported by both local and international players. The competitive landscape is evolving, with a growing number of startups entering the market, fostering innovation. As the region continues to develop its technological capabilities, the AIoT market is expected to expand significantly, attracting more investments and partnerships.

Key Players and Competitive Insights

The Artificial Intelligence of Things Market is currently characterized by a dynamic competitive landscape, driven by rapid technological advancements and increasing demand for smart solutions across various sectors. Key players such as IBM (US), Microsoft (US), and Google (US) are strategically positioned to leverage their extensive research capabilities and innovative technologies. IBM (US) focuses on integrating AI with IoT to enhance operational efficiencies, while Microsoft (US) emphasizes cloud-based solutions that facilitate seamless connectivity and data analytics. Google (US) is advancing its AI algorithms to optimize IoT applications, thereby enhancing user experiences and operational insights. Collectively, these strategies not only bolster their market presence but also intensify competition, as they vie for leadership in a sector that is increasingly reliant on intelligent systems.

In terms of business tactics, companies are increasingly localizing manufacturing and optimizing supply chains to enhance responsiveness and reduce costs. The market structure appears moderately fragmented, with a mix of established players and emerging startups. This fragmentation allows for diverse innovations and solutions, although the influence of key players remains substantial, as they set benchmarks for technology and service delivery.

In November 2025, IBM (US) announced a partnership with Siemens (DE) to develop AI-driven predictive maintenance solutions for industrial IoT applications. This collaboration is poised to enhance operational reliability and reduce downtime for manufacturing processes, reflecting a strategic move towards integrating AI capabilities into traditional industries. Such partnerships are indicative of a broader trend where companies seek to combine strengths to deliver comprehensive solutions that address complex challenges in the market.

In October 2025, Microsoft (US) launched a new AI platform designed specifically for IoT devices, which aims to streamline data processing and enhance real-time analytics. This initiative underscores Microsoft's commitment to driving digital transformation across industries, positioning itself as a leader in providing integrated solutions that harness the power of AI and IoT. The platform's introduction is likely to attract a diverse clientele, further solidifying Microsoft's competitive edge.

In September 2025, Google (US) unveiled an advanced AI framework that enhances the interoperability of IoT devices, facilitating smoother communication and data exchange. This development is crucial as it addresses one of the significant barriers to widespread IoT adoption—device compatibility. By focusing on interoperability, Google (US) not only enhances its product offerings but also strengthens its position in the market, as seamless integration becomes a key differentiator.

As of December 2025, the competitive trends in the Artificial Intelligence of Things Market are increasingly defined by digitalization, sustainability, and the integration of AI technologies. Strategic alliances are becoming more prevalent, as companies recognize the value of collaboration in driving innovation and expanding market reach. Looking ahead, competitive differentiation is likely to evolve from traditional price-based strategies to a focus on innovation, technological advancements, and supply chain reliability. This shift suggests that companies that prioritize these elements will be better positioned to thrive in an increasingly complex and competitive environment.

Key Companies in the Artificial Intelligence of Things Market market include

Industry Developments

  • Q2 2024: Bosch to invest $3 billion in AIoT chip production facility in Germany Bosch announced a $3 billion investment to build a new semiconductor facility in Dresden, Germany, focused on producing chips for artificial intelligence of things (AIoT) applications. The facility is expected to be operational by late 2025 and will support the growing demand for smart, connected devices.
  • Q2 2024: Edge Impulse raises $60M Series B to expand AIoT development platform Edge Impulse, a startup specializing in machine learning for edge devices, secured $60 million in Series B funding to accelerate the development of its AIoT platform. The company plans to use the funds to expand its engineering team and grow its ecosystem of device partners.
  • Q3 2024: Siemens and NVIDIA announce partnership to deliver industrial AIoT solutions Siemens and NVIDIA unveiled a strategic partnership to integrate NVIDIA’s AI technology into Siemens’ industrial IoT platforms, aiming to deliver advanced AIoT solutions for manufacturing and automation sectors.
  • Q3 2024: Honeywell launches new AIoT-enabled building management system Honeywell introduced a new building management system that leverages AIoT to optimize energy usage and predictive maintenance in commercial properties. The system uses real-time data and machine learning to automate building operations.
  • Q4 2024: Samsung acquires French AIoT startup Sigfox for $250 million Samsung completed the acquisition of Sigfox, a French startup specializing in low-power AIoT connectivity solutions, for $250 million. The deal is expected to strengthen Samsung’s position in the global AIoT market.
  • Q4 2024: Microsoft and Schneider Electric sign global AIoT partnership Microsoft and Schneider Electric announced a global partnership to co-develop AIoT solutions for energy management and smart infrastructure, leveraging Microsoft Azure’s AI capabilities and Schneider’s IoT hardware.
  • Q1 2025: Arm unveils new AIoT processor architecture for edge devices Arm Holdings launched a new processor architecture designed specifically for AIoT edge devices, promising improved performance and energy efficiency for smart sensors and connected products.
  • Q1 2025: Tuya Smart files for US IPO to fund global AIoT expansion Tuya Smart, a leading AIoT platform provider, filed for an initial public offering in the US to raise capital for expanding its global operations and accelerating product development.
  • Q2 2025: Amazon Web Services launches AIoT analytics suite for industrial clients Amazon Web Services introduced a new analytics suite tailored for industrial AIoT applications, enabling real-time monitoring and predictive maintenance for manufacturing and logistics companies.
  • Q2 2025: ABB opens new AIoT research center in Singapore ABB inaugurated a dedicated research center in Singapore focused on developing AIoT technologies for smart manufacturing and energy management.
  • Q3 2025: Sony and Qualcomm announce joint venture for AIoT camera solutions Sony and Qualcomm formed a joint venture to develop AIoT-enabled camera systems for security, retail, and smart city applications, combining Sony’s imaging technology with Qualcomm’s AI chipsets.
  • Q3 2025: PTC launches AIoT-enabled version of ThingWorx platform PTC released a new version of its ThingWorx industrial IoT platform with integrated AI capabilities, enabling customers to deploy machine learning models directly on connected devices.

Future Outlook

Artificial Intelligence of Things Market Future Outlook

The Artificial Intelligence of Things Market is projected to grow at a 21.41% CAGR from 2024 to 2035, driven by advancements in IoT technology, increased automation, and enhanced data analytics capabilities.

New opportunities lie in:

  • Development of AI-driven predictive maintenance solutions for industrial equipment.
  • Integration of AI algorithms in smart home devices for energy efficiency.
  • Creation of AI-enhanced supply chain optimization platforms for real-time decision-making.

By 2035, the market is expected to be robust, driven by innovation and widespread adoption.

Market Segmentation

Artificial Intelligence of Things Market End Use Outlook

  • Manufacturing
  • Retail
  • Healthcare
  • Transportation
  • Agriculture

Artificial Intelligence of Things Market Component Outlook

  • Sensors
  • Actuators
  • Software
  • Connectivity Modules
  • Data Processing Units

Artificial Intelligence of Things Market Technology Outlook

  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Edge Computing
  • Cloud Computing

Artificial Intelligence of Things Market Application Outlook

  • Smart Home
  • Industrial Automation
  • Healthcare
  • Transportation
  • Energy Management

Artificial Intelligence of Things Market Deployment Model Outlook

  • On-Premises
  • Cloud-Based
  • Hybrid

Report Scope

MARKET SIZE 202452.53(USD Billion)
MARKET SIZE 202563.78(USD Billion)
MARKET SIZE 2035443.89(USD Billion)
COMPOUND ANNUAL GROWTH RATE (CAGR)21.41% (2024 - 2035)
REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR2024
Market Forecast Period2025 - 2035
Historical Data2019 - 2024
Market Forecast UnitsUSD Billion
Key Companies ProfiledIBM (US), Microsoft (US), Google (US), Amazon (US), Intel (US), Siemens (DE), Cisco (US), General Electric (US), Qualcomm (US)
Segments CoveredApplication, End Use, Technology, Component, Deployment Model
Key Market OpportunitiesIntegration of advanced analytics and machine learning in smart devices enhances operational efficiency in the Artificial Intelligence of Things Market.
Key Market DynamicsRising integration of artificial intelligence in Internet of Things devices drives innovation and enhances operational efficiencies across industries.
Countries CoveredNorth America, Europe, APAC, South America, MEA

Leave a Comment

FAQs

What is the expected valuation of the Artificial Intelligence Of Things (AIoT) Market in 2023?

The AIoT Market is anticipated to reach a valuation of approximately USD 63.77 Billion in 2025.

What is the projected Compound Annual Growth Rate (CAGR) of the AIoT Market from 2023 to 2032?

The AIoT Market is projected to exhibit a CAGR of 21.41% during the forecast period from 2025 to 2034.

What is the estimated valuation of the AIoT Market by 2032?

By 2034, the AIoT Market is expected to reach a valuation of around USD 365.60 Billion.

Which region is anticipated to hold the largest market share in the AIoT Market by 2032?

The Asia-Pacific region is projected to dominate the AIoT Market by 2034, owing to factors such as rapid urbanization, growing industrialization, and increasing adoption of AI technologies.

What are the key applications of AIoT technology?

AIoT technology finds applications in various domains, including smart cities, healthcare, manufacturing, retail, and transportation.

Which industry vertical is expected to drive the highest demand for AIoT solutions?

The manufacturing industry is anticipated to be a major driver of demand for AIoT solutions, as it seeks to improve operational efficiency and productivity.

Who are some of the prominent players in the AIoT Market?

Major players in the AIoT Market include companies such as Microsoft, IBM, Google, Amazon, and Siemens.

What are the major trends shaping the AIoT Market?

Key trends influencing the AIoT Market include the convergence of AI, IoT, and cloud computing, the integration of AI into edge devices, and the growing adoption of 5G technology.

What are the key challenges faced by the AIoT Market?

Challenges faced by the AIoT Market include concerns over data security and privacy, the need for skilled professionals, and the high cost of implementation.

What are the growth opportunities for the AIoT Market?

Growth opportunities for the AIoT Market lie in the increasing demand for smart and connected devices, the proliferation of AIoT applications, and government initiatives promoting AI adoption.

Download Free Sample

Kindly complete the form below to receive a free sample of this Report

Compare Licence

×
Features License Type
Single User Multiuser License Enterprise User
Price $4,950 $5,950 $6,250
Maximum User Access Limit 1 User Upto 10 Users Unrestricted Access Throughout the Organization
Free Customization
Direct Access to Analyst
Deliverable Format
Platform Access
Discount on Next Purchase 10% 15% 15%
Printable Versions