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Italy Ai In Iot Market

ID: MRFR/ICT/63687-HCR
200 Pages
Aarti Dhapte
October 2025

Italy AI in IoT Market Size, Share and Trends Analysis Report By Component (Platforms, Software Solutions, Services), By Technologies (ML and Deep Learning, NLP), and By Vertical (Manufacturing, Energy and Utilities, Transportation and Mobility, BFSI, Government and Defense, Retail, Healthcare and Life Sciences, Telecom, Others)- Forecast to 2035

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Italy Ai In Iot Market Summary

As per Market Research Future analysis, the AI in IoT market size was estimated at 212.82 USD Million in 2024. The ai in-iot market is projected to grow from 272.84 USD Million in 2025 to 3272.2 USD Million by 2035, exhibiting a compound annual growth rate (CAGR) of 28% during the forecast period 2025 - 2035

Key Market Trends & Highlights

The Italy AI in IoT market is poised for substantial growth driven by technological advancements and increasing demand for automation.

  • The largest segment in the Italy AI in-IoT market is expected to be smart infrastructure, while the fastest-growing segment is anticipated to be data security solutions.
  • Investment in smart infrastructure is on the rise, reflecting a broader trend towards enhanced urban development and efficiency.
  • There is a notable emphasis on integrating AI with edge computing, which is likely to improve data processing capabilities and reduce latency.
  • Key market drivers include rising demand for automation and government initiatives that support technological innovation.

Market Size & Forecast

2024 Market Size 212.82 (USD Million)
2035 Market Size 3272.2 (USD Million)
CAGR (2025 - 2035) 28.2%

Major Players

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

Italy Ai In Iot Market Trends

The AI in IoT market is currently experiencing a transformative phase, characterized by rapid advancements in technology and increasing adoption across various sectors. In Italy, businesses are increasingly recognizing the potential of integrating artificial intelligence with Internet of Things devices to enhance operational efficiency and improve decision-making processes. This integration appears to be driven by the need for real-time data analysis and automation, which can lead to significant cost savings and improved service delivery. Furthermore, the Italian government is actively promoting initiatives aimed at fostering innovation in this domain, suggesting a supportive regulatory environment that encourages investment and development. Moreover, the ai in-iot market is likely to benefit from the growing emphasis on sustainability and energy efficiency. Companies are exploring ways to leverage smart technologies to optimize resource usage and reduce environmental impact. This trend indicates a shift towards more responsible business practices, aligning with broader societal goals. As organizations in Italy continue to invest in digital transformation, the ai in-iot market is poised for substantial growth, driven by both technological advancements and changing consumer expectations. The future landscape may see even more sophisticated applications, potentially revolutionizing how industries operate and interact with their environments.

Increased Investment in Smart Infrastructure

There is a noticeable trend towards heightened investment in smart infrastructure within the ai in-iot market. Companies are focusing on developing interconnected systems that enhance operational efficiency and improve service delivery. This investment is often supported by government initiatives aimed at fostering innovation and technological advancement.

Focus on Data Security and Privacy

As the ai in-iot market expands, there is a growing emphasis on data security and privacy. Organizations are increasingly aware of the risks associated with data breaches and are implementing robust security measures to protect sensitive information. This focus is crucial for building consumer trust and ensuring compliance with regulations.

Integration of AI with Edge Computing

The integration of artificial intelligence with edge computing is emerging as a significant trend in the ai in-iot market. This combination allows for real-time data processing and analysis at the source, reducing latency and improving response times. Such advancements are likely to enhance the overall efficiency of IoT applications.

Italy Ai In Iot Market Drivers

Growing Consumer Awareness

Consumer awareness regarding the benefits of AI and IoT technologies is on the rise in Italy, significantly impacting the AI in IoT market. As individuals become more informed about smart home devices, wearable technology, and connected appliances, the demand for these products is expected to increase. Market Research Future indicates that the smart home segment alone is projected to reach €3 billion by 2026, reflecting a growing trend towards connected living. This heightened awareness is driving manufacturers to innovate and offer more sophisticated solutions, thereby expanding the ai in-iot market. The shift in consumer preferences towards smart technologies is likely to create new opportunities for growth and development.

Rising Demand for Automation

The AI in IoT market in Italy experiences a notable surge in demand for automation across various sectors. Industries such as manufacturing, agriculture, and logistics are increasingly adopting automated solutions to enhance operational efficiency. According to recent data, the automation market in Italy is projected to grow at a CAGR of 8.5% from 2025 to 2030. This trend is driven by the need for improved productivity and reduced operational costs. As businesses seek to leverage the capabilities of AI and IoT, the integration of these technologies is becoming essential. The ai in-iot market is thus positioned to benefit significantly from this rising demand, as companies invest in smart devices and systems that facilitate automation.

Increased Focus on Sustainability

Sustainability has emerged as a key driver in the AI in IoT market, particularly in Italy, where environmental concerns are gaining prominence. Businesses are increasingly seeking solutions that not only enhance efficiency but also reduce their carbon footprint. The integration of AI and IoT technologies allows for better resource management and energy efficiency, aligning with sustainability goals. For instance, smart energy management systems can optimize energy consumption, leading to significant cost savings. The ai in-iot market is likely to see growth as companies prioritize sustainable practices and invest in technologies that support their environmental objectives.

Government Initiatives and Support

The Italian government plays a crucial role in fostering the growth of the AI in IoT market through various initiatives and support programs. Policies aimed at promoting digital transformation and innovation are being implemented, with a focus on enhancing the competitiveness of Italian industries. For instance, the National Recovery and Resilience Plan allocates substantial funding for digitalization projects, which includes investments in AI and IoT technologies. This governmental backing is likely to stimulate market growth, as businesses are encouraged to adopt advanced technologies. The ai in-iot market stands to gain from these initiatives, as they create a conducive environment for innovation and technological advancement.

Advancements in Connectivity Technologies

The evolution of connectivity technologies, such as 5G and LPWAN, is significantly influencing the AI in IoT market in Italy. These advancements enable faster and more reliable communication between devices, which is essential for the effective functioning of IoT applications. The rollout of 5G networks is expected to enhance the capabilities of AI-driven IoT solutions, allowing for real-time data processing and analysis. As a result, industries are increasingly adopting these technologies to improve operational efficiency and decision-making processes. The ai in-iot market is poised to benefit from these advancements, as they facilitate the deployment of innovative applications across various sectors.

Market Segment Insights

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

In the Italy ai in-iot market, the 'Component' segment showcases a diverse distribution among its key values. Platforms stand out as the largest contributor, appealing to enterprises seeking robust frameworks for their IoT strategies. Following closely are Software Solutions, which are now gaining traction, driven by the increasing demand for innovative applications that enhance operational efficiency. The growth trends in this segment are being fueled by significant technological advancements and a greater emphasis on integrating AI into IoT applications. The rapid expansion of cloud computing and data analytics is promoting the adoption of Software Solutions, making it the fastest-growing area in the market. Additionally, the need for comprehensive service offerings is prompting further investments in both platforms and software, signaling a dynamic shift in customer preferences toward integrated solutions.

Platforms: Dominant vs. Software Solutions: Emerging

Platforms hold a dominant position within the Italy ai in-iot market due to their ability to provide comprehensive management and control of IoT ecosystems. They offer scalability, security, and integration capabilities, making them essential for large enterprises. In contrast, Software Solutions represent an emerging force, designed to cater to niche applications and specific industry needs, allowing businesses to leverage AI-driven insights. As organizations increasingly prioritize digital transformation, the demand for Software Solutions is expected to soar, enhancing functionality and efficiency across various operations. This dynamic interaction between the dominant and emerging segments suggests a robust trajectory for innovation and growth in the Italy ai in-iot market.

By Technologies: ML and Deep Learning (Largest) vs. NLP (Fastest-Growing)

The Italy ai in-iot market is witnessing a robust distribution of market share between ML and Deep Learning technologies and Natural Language Processing (NLP). ML and Deep Learning currently dominate the technological landscape, capturing the largest share due to their extensive applications in predictive analytics and automated decision-making. In contrast, NLP is rapidly gaining traction, appealing to businesses looking to enhance customer interactions and automate text-based tasks.

Technology: ML and Deep Learning (Dominant) vs. NLP (Emerging)

In the Italy ai in-iot market, ML and Deep Learning are established as dominant technologies due to their ability to process and analyze large sets of data, providing actionable insights that drive efficiency and innovation. Their applications span various industries including finance, healthcare, and manufacturing. Conversely, NLP is an emerging technology, characterized by its focus on understanding and generating human language. This segment is expanding swiftly as organizations seek to improve user engagement through chatbots, virtual assistants, and sentiment analysis, thus paving the way for transformative changes in how businesses communicate with their clientele.

By Vertical: Healthcare and Life Sciences (Largest) vs. Manufacturing (Fastest-Growing)

In the Italy ai in-iot market, the distribution of market share among vertical segments highlights healthcare and life sciences as the largest segment, followed closely by manufacturing, energy and utilities, and transportation. Retail and BFSI also play significant roles, while government and defense along with telecom contribute to a smaller portion of the overall market. The presence of various industries adopting IoT technologies leads to a diversified revenue stream and enhances the market's stability. As for growth trends, manufacturing is emerging as the fastest-growing segment driven by increased automation and smart manufacturing initiatives. Advances in IoT technology that enable real-time data analytics and optimized operational efficiencies are critical contributors. Additionally, healthcare and life sciences continue to drive innovation through the adoption of AI-powered devices and solutions, making them a key factor in the overall growth within the Italy ai in-iot market.

Healthcare and Life Sciences: Dominant vs. Manufacturing: Emerging

The healthcare and life sciences segment in the Italy ai in-iot market is characterized by its strong investment in innovative AI technologies that enhance patient care and streamline operations. This segment benefits from regulatory support and a growing focus on telemedicine and remote patient monitoring. As healthcare providers increasingly leverage IoT to collect and analyze patient data, the demand for connected devices continues to rise. In contrast, manufacturing is emerging rapidly as an essential vertical due to the increased push for Industry 4.0 initiatives. This segment emphasizes automation, predictive maintenance, and smart factories, relying heavily on data insights to boost productivity and reduce costs. The blending of AI and IoT tools in manufacturing ensures operational excellence and represents a significant growth opportunity in the Italy ai in-iot market.

Get more detailed insights about Italy Ai In Iot Market

Key Players and Competitive Insights

The ai in-iot market in Italy is characterized by a dynamic competitive landscape, driven by rapid technological advancements and increasing demand for smart solutions across various sectors. Major players such as Microsoft (US), IBM (US), and Siemens (DE) are strategically positioned to leverage their extensive resources and expertise in artificial intelligence and Internet of Things technologies. Microsoft (US) focuses on enhancing its Azure IoT platform, aiming to provide comprehensive solutions that integrate AI capabilities, thereby fostering innovation and digital transformation. Meanwhile, IBM (US) emphasizes its Watson IoT platform, which is designed to facilitate data-driven decision-making and operational efficiency, indicating a strong commitment to harnessing AI for industrial applications. Siemens (DE), on the other hand, is concentrating on smart infrastructure and automation, suggesting a strategic alignment with the growing trend of digitalization in manufacturing and urban development.

The business tactics employed by these companies reflect a concerted effort to optimize supply chains and localize manufacturing processes. The market appears moderately fragmented, with a mix of established players and emerging startups vying for market share. This competitive structure allows for diverse offerings, yet the influence of key players remains substantial, as they set benchmarks for innovation and operational excellence.

In October 2025, Microsoft (US) announced a partnership with a leading Italian telecommunications provider to enhance IoT connectivity solutions. This collaboration is poised to expand Microsoft's reach in the Italian market, enabling more robust data analytics and AI integration for local businesses. The strategic importance of this partnership lies in its potential to accelerate digital transformation initiatives across various sectors, thereby solidifying Microsoft's competitive position.

In September 2025, IBM (US) launched a new initiative aimed at integrating AI with IoT for smart cities in Italy. This initiative focuses on improving urban infrastructure through real-time data analysis and predictive maintenance. The strategic significance of this move is evident, as it aligns with Italy's ongoing efforts to modernize its urban environments, positioning IBM as a key player in the smart city development space.

In August 2025, Siemens (DE) unveiled a new AI-driven platform designed to optimize energy consumption in industrial settings. This platform leverages IoT data to provide actionable insights, thereby enhancing operational efficiency. The introduction of this technology underscores Siemens' commitment to sustainability and innovation, reflecting a broader trend towards energy-efficient solutions in the industrial sector.

As of November 2025, the competitive trends in the ai in-iot market are increasingly defined by digitalization, sustainability, and the integration of AI technologies. Strategic alliances among key players are shaping the landscape, fostering innovation and enhancing service offerings. The shift from price-based competition to a focus on technological advancement and supply chain reliability is becoming more pronounced. Companies that prioritize innovation and adaptability are likely to emerge as leaders in this evolving market.

Key Companies in the Italy Ai In Iot Market market include

Industry Developments

In December 2023, Telecom Italia (TIM) introduced the "AI Challenge," which aims to integrate AI and IoT technology to speed up the digital transformation of businesses and governmental institutions. NeXXt AI Factory, Italy's first NVIDIA DGX SuperPOD AI supercomputer, was announced by Fastweb in July 2024 and provides clients with AI infrastructure-as-a-service.In order to improve operational efficiency through improved connectivity, Snam and Vodafone Business announced in October 2023 that they were building Italy's first private 5G hybrid network infrastructure in the energy sector.

With an emphasis on innovation and the creation of a strong and resilient grid that integrates AI and IoT technologies, Terna approved its 2024–2028 Industrial Plan in 2023. Reply demonstrated its proficiency in AI, IoT, digital twins, augmented reality, and quantum computing at the IoT Solutions World Congress in Barcelona in 2023.In order to assist the goals of the digital and green transformation, the European Commission authorized Italian state funding in May 2024 for STMicroelectronics to build a €5.4 billion chip facility in Catania, Sicily, with an emphasis on creating energy-efficient silicon carbide microchips for electric vehicles.

Italy AI in IoT

Future Outlook

Italy Ai In Iot Market Future Outlook

The AI in IoT Market in Italy is projected to grow at a 28.2% CAGR from 2024 to 2035, driven by advancements in AI technologies, increased IoT adoption, and demand for automation.

New opportunities lie in:

  • Development of AI-driven predictive maintenance solutions for industrial IoT applications.
  • Integration of smart sensors in agriculture for precision farming and resource management.
  • Creation of AI-enhanced cybersecurity frameworks for IoT devices in smart cities.

By 2035, the ai in-iot market is expected to be a pivotal sector, showcasing robust growth and innovation.

Market Segmentation

Italy Ai In Iot Market Vertical Outlook

  • 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)

Italy Ai In Iot Market Component Outlook

  • Platforms
  • Software Solutions
  • Services

Italy Ai In Iot Market Technologies Outlook

  • ML and Deep Learning
  • NLP

Report Scope

MARKET SIZE 2024 212.82(USD Million)
MARKET SIZE 2025 272.84(USD Million)
MARKET SIZE 2035 3272.2(USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR) 28.2% (2024 - 2035)
REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR 2024
Market Forecast Period 2025 - 2035
Historical Data 2019 - 2024
Market Forecast Units USD Million
Key Companies Profiled Microsoft (US), IBM (US), Amazon (US), Google (US), Cisco (US), Siemens (DE), Intel (US), Qualcomm (US), SAP (DE)
Segments Covered Component, Technologies, Vertical
Key Market Opportunities Integration of advanced AI algorithms enhances predictive maintenance in the ai in-iot market.
Key Market Dynamics Rising demand for smart home devices drives innovation in artificial intelligence and Internet of Things integration.
Countries Covered Italy

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FAQs

What is the expected market size of the Italy AI in IoT Market by the year 2024?

The expected market size of the Italy AI in IoT Market by the year 2024 is valued at 212.8 million USD.

What is the anticipated market size of the Italy AI in IoT Market by 2035?

The anticipated market size of the Italy AI in IoT Market by 2035 is projected to reach 426.4 million USD.

What is the compound annual growth rate (CAGR) for the Italy AI in IoT Market from 2025 to 2035?

The compound annual growth rate (CAGR) for the Italy AI in IoT Market from 2025 to 2035 is expected to be 6.522%.

Which are the major players in the Italy AI in IoT Market?

Major players in the Italy AI in IoT Market include Lamborghini, Telecom Italia, Enel, Clever Supply, Fastweb, and Snam.

What is the market value of Platforms in the Italy AI in IoT Market for the year 2024?

The market value of Platforms in the Italy AI in IoT Market for the year 2024 is estimated at 60.0 million USD.

What is the projected market value of Software Solutions in 2035 for the Italy AI in IoT Market?

The projected market value of Software Solutions for the Italy AI in IoT Market in 2035 is 160.0 million USD.

What value is projected for Services in the Italy AI in IoT Market in 2024?

Services in the Italy AI in IoT Market are projected to be valued at 72.8 million USD in 2024.

How do emerging trends impact the growth of the Italy AI in IoT Market?

Emerging trends, such as increased automation and connected devices, significantly expand opportunities within the Italy AI in IoT Market.

What are the expected growth drivers for the Italy AI in IoT Market during the forecast period?

The expected growth drivers include technological advancements and rising demand for smart infrastructure in Italy.

What is the forecasted market growth rate for individual components like Platforms, Software Solutions, and Services from 2025 to 2035?

Each component is expected to contribute to an overall market growth rate of 6.522% from 2025 to 2035 within the Italy AI in IoT Market.

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