PUBLISHER: AnalystView Market Insights | PRODUCT CODE: 2067371
PUBLISHER: AnalystView Market Insights | PRODUCT CODE: 2067371
Artificial Intelligence of Things (AIoT) market size was valued at US$ 203,310.82 Million in 2025, expanding at a CAGR of 30.97% from 2026 to 2033.
The artificial intelligence of things (AIoT) is the combination of AI technologies and the internet of things (IoT) infrastructure. AIoT's goal is to create more efficient IoT operations, improve human-machine interactions, and enhance data management and analytics. The market for Artificial Intelligence of Things (AIoT) is quickly emerging as more businesses look to benefit from real-time intelligence enabled by connected devices. For instance, in April 2026, as stated by Tech UK Org, demand for connected devices continued to expand across the UK as consumer adoption increased. The study found that 35% of smart product owners had connected their security devices to home Wi-Fi, rising to 56%, while connected usage of health and wearable devices increased from 32% to 51% over the same period. So, more connected devices accelerate AIoT across consumer and smart spaces.
Artificial Intelligence of Things (AIoT) Market- Market Dynamics
Rising Industrial Automation growth to propel market demand
Trends indicate that industrial automation is becoming more AI-driven, with digitalization and software-defined manufacturing taking up a larger role and increasing smart and automated process operations on the manufacturing floor. Organizations are pushing for the deployment of industrial AI, digital twins, predictive maintenance, robotics, and networked IoT so as to boost manufacturing effectiveness, speed up decision-making, and accelerate production processes.
The increase in automation in industries is the primary growth factor of the AIoT market, further boosted by the adoption of smart manufacturing, interconnected devices in industries, real-time analysis of big data, and the rise in the need for intelligent optimization and predictive maintenance. For instance, in June 2025, data published by the IBEF Org, citing the International Federation of Robotics (IFR), highlighted the increasing adoption of industrial automation across India's manufacturing sector. India installed 8,510 industrial robots, representing a 59% year-on-year increase, the highest growth rate among major global markets. The country ranked 7th worldwide in annual industrial robot installations, while robot deployments in the automotive industry surged 139% to 3,551 units, accounting for 42% of total industrial robot installations. Thus, rising industrial automation drives AIoT adoption across manufacturing operations.
The Global Artificial Intelligence of Things (AIoT) market is segmented on the basis of Component, Application, Deployment, Technology, End Use, Vertical, and Region.
From the component perspective, software is one of the most important areas of the AIoT market because software plays an important part in making the intelligence processing and real-time analytics for ML and automation in the connected devices and edge environments. For instance, in 2025, data published by the OECD Org. showed that the adoption of AI software in Japanese workplaces is steadily increasing. In the finance and insurance sector, 26.5% of employees worked in companies using AI, while the figure reached 14.5% in manufacturing. Additionally, surveys cited by the OECD found that 11.6% of Japanese business professionals reported generative AI being introduced into their work. Hence, AI software adoption is steady across Japanese industries and workplaces.
From the perspective of the application, the use of predictive maintenance is very important. That is because of the effective aspect of reducing downtime, enhancing asset performance, and making real-time maintenance decisions based on IoT device connections and AI analysis. For instance, according to a study published in the U.S. National Library of Medicine, predictive maintenance has demonstrated significant operational benefits in industrial environments. The study from the U.S. National Institute of Standards and Technology (NIST) shows that organizations using predictive maintenance recorded 15% lower downtime, 87% lower defect rates, and 66% lower maintenance-related inventory increases compared to other approaches. Therefore, predictive maintenance increases efficiency, reduces downtime, and improves operations.
Artificial Intelligence of Things (AIoT) Market- Geographical Insights
North America has a substantial share in the AIoT market due to having an excellent technological backbone with advanced IT systems and adoption of IoT in industry. In 2026, data from the Government of Canada (ISED) highlights that Canada is actively expanding its digital and emerging technology infrastructure through large-scale coordination on artificial intelligence, quantum technologies, and sovereign digital systems. At the 2026 G7 Digital Ministers' Meeting, Canada reinforced cooperation with international partners to accelerate AI adoption across industries, strengthen digital resilience, and scale secure computing and data infrastructure to support innovation-driven growth. Therefore, promoting stronger digital infrastructure and AI adoption in North America.
Moreover, Asia Pacific growth is driven by the development of automation technologies and fast industrialisation and deployment of smart cities, supported by government investment in these programmes. For instance, data from UN-Habitat highlighted that India's Smart Cities Mission has been implemented across 100 cities, representing a nationwide urban transformation initiative aligned with Sustainable Development Goals (SDGs). Under this programme, more than 7,800 projects have been undertaken since its launch, supported by an investment of approximately USD 22,000 million, aimed at strengthening urban infrastructure, improving service delivery, and promoting sustainable urban development. Thus fuelling regional expansion via smart city and urban upgrades.
Germany Artificial Intelligence of Things (AIoT) Market- Country Insights
Germany has made progress in its Industry 4.0 efforts through the application of AIoT technologies to production lines. Through a high level of digitalisation, this increases the degree of automation and the general efficiency of industrial production. In 2026, the DWIH New York Org. topic on Industry 4.0 in Germany highlights that the fourth industrial revolution is driven by digitalisation, smart factories, and real-time connectivity between machines, systems, and production processes, enabling more efficient and flexible manufacturing systems. The initiative explains that Industry 4.0 integrates digitally linked people, machines, logistics, and products for autonomous, demand-responsive production. Hence, Germany's Industry 4.0 drives autonomous, efficient, digitally integrated manufacturing.
Key market participants are strategising their expansion by integrating AI-powered IoT across global markets and are driven by strategic acquisitions, partnerships, and ongoing product enhancements. The highly competitive AIoT market is expanding at a rapid pace as more and more industries require sophisticated, smart, interconnected systems. The key players in the Internet of things market that are defining the current market are IBM Corporation, Microsoft Corporation, Amazon Web Services, Siemens AG, and Cisco Systems, Inc. In January 2026, IBM partnered with Datavault AI to activate real-time urban edge AI networks in New York and Philadelphia, powered by the SanQtum AI platform and IBM's watsonx.ai. This deployment solidifies IBM's leadership in hybrid cloud and enterprise AI governance, particularly in data sovereignty and low-latency applications for regulated industries. Therefore, growth is speeding up via strategic partnerships and the integration of enterprise-grade AI.
In February 2026, Cisco launched Australia's first Secure AI Factory in partnership with SharonAI and NVIDIA, providing sovereign AI infrastructure aligned with Australian data policies. Positions Cisco as a key provider of secure, sovereign AI capabilities for governments and enterprises prioritising compliance and data handling.
In July 2025, Siemens completed the acquisition of Dotmatics, an AI-native scientific informatics platform, for US$5,100 million, expanding Siemens' PLM software into life sciences, enabling AI-powered R&D and continuous data integration from lab discovery to manufacturing scale-up.