Italy Applied AI Market Size to hit USD 84.9 billion by 2035

The Italy Applied AI Market was worth USD 6.5 billion in 2025 and is expected to reach USD 84.9 billion by 2035, growing at a CAGR of 29.3% from 2025 to 2035. The market growth is supported by rising AI adoption across manufacturing, finance, healthcare , retail, public services, and logistics, along with stronger use of automation, predictive analytics, and intelligent software systems.

The Italy Applied AI Market includes artificial intelligence solutions used to improve business operations, customer experience, decision-making, production efficiency, and service delivery. These solutions include machine learning, natural language processing, computer vision, generative AI , robotic process automation, predictive maintenance, fraud detection, and AI-enabled analytics platforms. The market is closely linked with digital transformation, Industry 4.0, smart factories, cloud computing, and enterprise software adoption.

The market outlook remains strong as Italian companies continue to invest in AI for productivity improvement, cost control, and better operational accuracy. Growth can be attributed to wider use of AI in industrial automation, financial services, medical diagnostics, supply chain planning, and customer support. The expansion of cloud-based AI platforms, data infrastructure, and sector-specific AI applications is expected to support long-term market growth.

Key Market Insights

• Software led the component segment with 70.6% share, supported by growing use of AI platforms, analytics tools, automation software, and industry-specific AI solutions.

• Healthcare accounted for 20.5% share by application, driven by rising AI use in diagnostics, patient monitoring, medical imaging, and clinical decision support.

• Small and medium enterprises held 57.1% share by organization size, supported by wider access to affordable AI tools, cloud-based platforms, and automation solutions for business operations.

Adoption and Usage Statistics

Based on data from ISTAT, Italy’s applied AI market is gaining stronger business adoption, although usage remains at an early-to-mid stage. In 2025, 16.4% of Italian enterprises with at least 10 employees used at least one AI technology, rising from 8.2% in 2024 and 5.0% in 2023. Adoption was much higher among large enterprises at 53.1% , while SME usage stood at 15.7%. The North-West region recorded stronger adoption at 19.3% , showing that AI use is more concentrated in advanced industrial and service hubs.

AI usage in Italy is mainly driven by text-based and generative applications. Text extraction was the most used AI function at 70.8% , followed by generative AI at 59.1% and speech-to-text tools at 41.3%. Machine learning for data analysis accounted for 20.0% , while image recognition and workflow automation each stood at 18.0% . In business functions, AI was most used in marketing and sales at 33.1% , administrative processes at 25.7% , and R&D or innovation at 20.0% , indicating strong potential for wider applied AI adoption across Italian enterprises.

By Component

Software led the component segment with 70.6% share, supported by wider use of AI platforms, generative AI tools, workflow automation systems, analytics software, and sector-specific applications. In Italy, applied AI adoption is being shaped more by software deployment than by hardware spending because companies are first using AI for text, images, documents, customer support, administration, and business intelligence.

The software segment is supported by Italy’s sharp increase in enterprise AI use. ISTAT data reported in 2025 showed that 16.4% of Italian firms with at least 10 employees used some form of AI, compared with much lower adoption in earlier years. The most common AI uses were text data extraction at 70.8% , generative AI for language and images at 59.1% , and speech-to-text technologies at 41.3%.

Software also benefits from the broader European shift toward AI-based business functions. Eurostat reported that in 2025, EU enterprises using AI commonly applied it to marketing or sales at 34.70% and business administration or management processes at 31.05% . These use cases are mainly software-led, which supports the strong position of software in Italy’s applied AI market.

By Application

Healthcare led the application segment with 20.5% share, supported by rising use of AI in diagnostics, clinical documentation, imaging, patient triage, workflow management, and digital health services. The segment is gaining attention because Italy’s healthcare system needs faster decision support, better data use, and improved care coordination across hospitals, clinics, and community health networks.

Healthcare adoption is supported by growing physician interest in AI. A 2026 national cross-sectional study of 587 Italian physicians found that 21.6% had used AI in clinical practice, while 81.9% were willing to integrate AI into their work. The same study reported that 93.5% of physicians were interested in receiving AI training, showing a strong base for future clinical adoption.

Digital health activity is also strengthening AI use in Italian healthcare. In 2025, Italy’s digital health data showed that 46% of general practitioners and 26% of specialists had used generative AI tools, while 41% of citizens actively used the Electronic Health Record. These figures show that AI adoption is moving into practical healthcare workflows, although governance, validation, and clinical safety remain important.

By Organization Size

Large Enterprises led the organization size segment with 53.5% share, supported by stronger budgets, larger data pools, and clearer internal capacity to deploy applied AI across departments. In Italy, larger enterprises are using AI for document processing, customer support, predictive analytics, cybersecurity, finance operations, manufacturing control, and business administration.

The segment is supported by a clear adoption gap between large companies and smaller firms. ISTAT-based reporting showed that 53.1% of Italian firms with more than 250 employees used AI in 2025, compared with 15.7% among smaller firms. This confirms why enterprises hold the stronger position in applied AI adoption, especially where IT teams, compliance systems, and structured datasets are already available.

Enterprise adoption is also supported by broader EU trends. Eurostat reported that 55.03% of large EU enterprises used AI in 2025, compared with 30.36% of medium enterprises and 17.0% of small enterprises. For Italy, this wider European pattern is relevant because large companies are better placed to invest in AI governance, cloud systems, model testing, employee training, and integration with existing business software.

Market Entry and Revenue Strategy

The go-to-market approach for the Italy Applied AI Market should focus on practical use cases that solve immediate business problems. Italian enterprise AI adoption doubled to 16.4% in 2025, which shows that demand is moving beyond early testing, but adoption is still not mature across the full productive system. This creates strong room for vendors offering applied AI for workflow automation, customer support, marketing, data analysis, compliance and operational planning.

Sales economics in Italy is strongly linked to the country’s SME base and uneven digital readiness. The European Commission reported that 70.2% of Italian SMEs had at least a basic level of digital intensity, while AI adoption remained much lower across enterprises. This means suppliers need simple pricing, guided onboarding, local-language support and clear return-on-investment measurement to convert smaller businesses.

The strongest sales opportunities are expected in sectors where applied AI can improve daily work without heavy infrastructure change. Italy’s national AI strategy for 2024 to 2026 focuses on research, public administration, enterprises and education, which supports wider use of AI in business services and public delivery. For vendors, this policy direction creates demand for compliant, secure and sector-specific AI systems.

Revenue Potential Analysis

Revenue Landscape Across

Revenue potential is strongest in sectors where AI is already moving from testing to operational use. In 2025, information and communication services led AI adoption in Italy at 51.3% , followed by professional, scientific and technical activities at 35.7%. By business function, marketing and sales accounted for 33.1% of AI use, administrative process organization stood at 25.7%, and research and development or innovation reached 20.0%.

The public sector and regulated industries are also becoming important revenue pools because Italy is moving toward clearer AI governance. Italy’s 2024-2026 AI strategy includes guidelines for AI adoption in public administration, better service delivery and ethical deployment. In 2025, Italy also moved ahead with national AI rules aligned with the EU AI Act, while policy support includes up to € 1 billion for AI, cybersecurity and related technology companies.

The broader digital funding environment supports long-term demand for applied AI platforms, data services and implementation partners. Italy’s Digital Decade roadmap includes 67 measures with a total budget of €62.3 billion , while €46.8 billion from the Recovery and Resilience Plan and €4.9 billion from Cohesion funds are linked to digital transformation. This improves revenue visibility for AI vendors serving enterprise modernization, public services, cloud migration, automation and digital skills programs.

Financial Impact

The financial impact of applied AI in Italy will be seen first in cost control, faster decision-making and productivity gains. Euro area survey data from 2025 showed that more than 70% of firms reported using AI, but only 7% used it intensively, which shows that the next value step is deeper integration rather than basic tool adoption. For Italy, this supports demand for AI systems that are embedded into workflows, not only used as standalone software.

AI investment is also becoming part of normal capital planning for European firms. The ECB reported that firms expected to allocate about 9% of total investment to AI over the next 12 months, with AI mainly used to improve business processes. This points to stronger sales potential for applied AI vendors that can connect pricing to measurable outcomes such as lower manual work, fewer process errors, faster reporting and improved customer conversion.

However, financial returns will depend on skills, data quality and implementation readiness. Italy had only 4% ICT specialists in total employment in 2024, and only 45.8% of the population had basic digital skills. These gaps may slow adoption, but they also create strong demand for managed AI services, training, system integration and compliance support, especially among SMEs and public-sector buyers.

Segment Covered in the Report

By Component

• Software

• Services

By Application

• Healthcare

• Finance

• Retail and E-commerce

• Predictive Maintenance

• Industrial Robotics

• Natural Language Processing

• Energy and Utilities

• Agriculture

• Cybersecurity

• Education

• Entertainment and Media

• Real Estate

• Transportation and Logistics

• Environmental Monitoring

• Human Resources

• Others

By Organization Size

• Small and Medium Enterprise

• Large Enterprise

Drivers Impact Analysis

Restraints Impact Analysis

Opportunities Impact Analysis

Challenges Impact Analysis

Recent Developments

Market News

• In June 2026, Italgas announced a EUR 13 billion investment plan through 2032, with stronger focus on artificial intelligence and digital infrastructure. The company raised its AI-driven productivity gain target to EUR 100 million , compared with the earlier target of EUR 70 million . This shows that applied AI in Italy is moving into core infrastructure operations, including smart meters, sensors, network efficiency, and predictive maintenance.

• In September 2025, Italy passed a comprehensive artificial intelligence law, becoming the first EU country to align national AI rules with the EU AI Act. The law covers human oversight, transparency, privacy, cybersecurity, healthcare, work, education, justice, copyright, and deepfake misuse. It also assigned oversight roles to the Agency for Digital Italy and the National Cybersecurity Agency, while including a EUR 1 billion fund for AI and related technologies.

Mergers

• Large pure-play AI mergers in Italy have remained limited in recent public announcements. The market is currently being shaped more by acquisitions, partnerships, and enterprise-level technology agreements than by full legal mergers between AI companies. This pattern reflects the early-stage structure of Italy’s applied AI ecosystem, where many firms are still scaling products for industry, finance, public sector, and infrastructure use.

• In October 2025, Stellantis and Mistral AI expanded their AI partnership at Italian Tech Week in Turin. The initiative included an Innovation Lab for sales and aftersales use cases and a Transformation Academy for production-related AI applications. This reflects how applied AI partnerships are being used in Italy’s industrial base to improve manufacturing, customer service, and operational efficiency.

Acquisitions

• In April 2026, Milan-based Domyn acquired 100% of Oròbix, an Italian AI company based in Bergamo. Oròbix brings expertise in computer vision, multimodal agents, and AI deployment across regulated and industrial sectors. The acquisition strengthens Domyn’s position in applied AI by combining language models with practical AI systems for manufacturing, agriculture, energy, infrastructure, and advanced operations.

• In July 2025, expert.ai signed an agreement linked to the acquisition of 100% of ISED, a historic Italian technology company. The transaction was connected with a reserved capital increase of up to EUR 20 million. This is relevant to Italy’s applied AI market because expert.ai operates in natural language AI, enterprise automation, and knowledge processing, which are key applied AI use cases across regulated and document-heavy sectors.

Funding

• Italy’s public AI funding base was strengthened in 2024 through CDP Venture Capital. The Italian state lender announced plans to invest EUR 1 billion over five years in AI and cybersecurity, including EUR 580 million for startups, EUR 300 million for companies ready to expand internationally, and EUR 120 million for technology transfer, mainly from university research. This funding structure is expected to support applied AI commercialization across enterprise software, cybersecurity, public services, and industrial automation.

• Domyn, formerly iGenius, has become one of Italy’s most visible AI funding stories. Reuters reported in 2024 that the company was targeting EUR 650 million in new funding to support generative AI for financial services and the public sector. The company was also positioned above USD 1 billion valuation, showing that Italy is beginning to build AI companies with European-scale ambitions.

• In 2026, Domyn continued to attract strategic backing from global financial and technology investors. Reuters noted that the company is backed by G42, Eurizon Capital, Rabobank, and BNY, while Rabobank separately announced a minority equity investment in Domyn in April 2026 to support sovereign AI adoption in financial services. This funding direction shows strong demand for Italian AI platforms designed for banks, public institutions, and other regulated sectors.