In Italy, companies used AI solutions more often in **** than in ****. AI was used in forecasting and help desk the most, while IT operations and cybersecurity were the areas where it was used the least.

According to a survey conducted among 20 Italian enterprises in 2018, the adoption of artificial intelligence (AI) was largely expected to have a significant impact within the following five years, bringing about new products, services, and business models. Over half of the respondents, in fact, believed that the impact of AI would be disruptive. By contrast, only five percent of respondents thought that AI would bring some minor changes to their industries, without however disrupting their key structures.

In Italy, the size of the Artificial Intelligence (AI) market sharply increased from 2022 to 2023, recording a growth of 55 percent. In 2023, the Italian AI market amounted to over 674 million euros, up from the 435 million euros registered in 2022.

Forecast: Number of Scientific Publications in Artificial Intelligence in Italy 2024 - 2028 Discover more data with ReportLinker!

Forecast: Total Number of 10% Top-Cited Scientific Publications in Artificial Intelligence in Italy 2024 - 2028 Discover more data with ReportLinker!

In Italy, the adoption of Artificial Intelligence (AI) among businesses increased from 2022 to 2023. In 2023, a total of around ** percent of Italian companies used AI in business processes. Meanwhile, the share of firms not using the technology at all decreased.

Forecast: Share of Corresponding/Leading Author in Scientific Publications in Artificial Intelligence in Italy 2024 - 2028 Discover more data with ReportLinker!

According to professionals working in food retail and food services in Italy, artificial intelligence (AI) will have a significant impact over the next three to five years in their industry. As of August 2024, 52 percent of the surveyed professionals believed AI will be used for predictive analysis of consumpion trends. Another 48 percent of them mentioned targeted and personalized marketing as second most relevant use case.

This statistic shows the estimated increase of the gross value added (GVA) in the scenario that artificial intelligence (AI) has been absorbed into the economy in Italy in 2035. The GVA baseline in 2035 is 1,930 billion U.S. dollars, and there is an expected increase of 227 billion U.S. dollars through AI.

In 2018, four in ten Italians reported good levels of trust in Artificial Intelligence (AI), according to a survey conducted by Ipsos. This figure was about five percent more than the global average. With a market size of about 85 million euros in 2018, the AI sector in Italy was about to take off, as reported by Osservatori Digital Innovation. As a comparison, the market revenue for the sector in Europe was estimated to reach 984 million euros in 2018.

Enterprise adoption

In 2018, 72 percent of large and medium-sized enterprises in Italy had already implemented AI solutions. Only 12 percent of companies, however, deployed solutions at full performance, according to Osservatori Digital Innovation. The field of Artificial Intelligence is extremely wide-ranging: it includes emerging applications as diverse as recommender systems, predictive maintenance, and virtual assistants/chatbots. In recent years, interest for AI has soared both in industry and academia.

Chatbots - customers’ best friends?

The most commonly developed solutions by Italian companies were chatbots and virtual assistants. Italian users of chatbots were particularly satisfied by two features: the fastness of chatbots' response, and their constant availability. Given Italians' level of trust in AI, they looked ready to embrace similar technologies.

The Italian digital transformation market is experiencing robust growth, projected to reach €64.34 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 17.12% from 2025 to 2033. This expansion is driven by several key factors. Firstly, increasing government initiatives promoting digitalization across various sectors are creating a favorable environment for investment and adoption. Secondly, the rising need for enhanced operational efficiency and cost reduction across industries like manufacturing, BFSI, and healthcare is fueling demand for digital solutions. Furthermore, the burgeoning adoption of technologies such as Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and cloud computing is significantly contributing to market growth. The presence of major technology players like Accenture, Google, Siemens, and IBM in the Italian market further underscores the potential for continued expansion. However, certain challenges persist. While the Italian government is actively pushing digitalization, a skills gap in areas like data analytics and cybersecurity remains a significant hurdle. Moreover, concerns related to data privacy and security, coupled with the high initial investment required for digital transformation projects, could potentially slow down adoption in some sectors. Despite these restraints, the long-term outlook remains positive, particularly considering the increasing focus on Industry 4.0 initiatives and the ongoing digitalization of public services. The market segmentation reveals strong demand across multiple end-user industries, with manufacturing, BFSI, and healthcare expected to be key growth drivers in the coming years. The continued evolution and convergence of digital technologies will further shape the market landscape, creating new opportunities for innovation and market expansion in Italy. Recent developments include: July 2023 - In Milan, Italy, Hewlett Packard Enterprise announced that Fastweb SPA, one of the telecom operators in Italy, has selected the HPE GreenLake edge-to-cloud platform, the cloud services platform from Hewlett Packard Enterprise (HPE), to modernize its Fastcloud Business Unit to accelerate new service deployment and improve agility. The new platform also enhances governance, security, and operations with improved visibility of utilization and costs., June 2023 - Microsoft announced the upcoming availability of its first cloud region in Italy, providing Italian organizations access to scalable, available, and resilient cloud services and confirming its commitment to promoting digital transformation and sustainable innovation in the country.. Key drivers for this market are: High Digital Maturity and Openness Toward Technology Adoption, High Emphasis on Digital Transformation as Part of National Recovery and Resilience Plan; Rising Cloud Adoption in SMEs. Potential restraints include: High Digital Maturity and Openness Toward Technology Adoption, High Emphasis on Digital Transformation as Part of National Recovery and Resilience Plan; Rising Cloud Adoption in SMEs. Notable trends are: Internet of Things (IoT) to Hold Major Market Share.

Italy and UAE join forces to create a major AI hub in Apulia, set to boost Europe's tech infrastructure.

Italy ICT Market size was valued at USD 80.2 Billion in 2024 and is expected to reach USD 137.6 Billion by 2032, growing at a CAGR of 6.9% from 2026-2032.

Key Market Drivers Digital Transformation Initiatives: Digital transformation initiatives are driving the growth of the Italy ICT market by growing investments and technological advancements. According to the Digital Economy and Society Index (DESI) 2023, Italy’s score rose to 49.3 points, indicating significant progress in digitalization. The Italian government’s National Recovery and Resilience Plan (PNRR) set up €13.38 billion for digital projects through 2026, increasing technology adoption. This cash goes toward infrastructure, cloud computing, AI, and cybersecurity enhancements. Increased investment from both the public and private sectors is improving the ICT market.

The Italy Digital Transformation Market is experiencing robust growth, projected to reach €64.34 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 17.12% from 2025 to 2033. This significant expansion is driven by several key factors. Increasing government initiatives aimed at modernizing public services and infrastructure are creating substantial demand for digital solutions. Furthermore, the burgeoning adoption of cloud computing, big data analytics, and artificial intelligence across various sectors – from manufacturing and finance to healthcare and retail – fuels this market growth. The rising need for enhanced operational efficiency, improved customer experience, and competitive advantage further motivates Italian businesses to embrace digital transformation strategies. Leading technology providers like Microsoft, Accenture, IBM, and others are actively contributing to this market expansion through innovative solutions and strategic partnerships. While data privacy concerns and the skills gap in the digital workforce pose some challenges, the overall market outlook remains positive, underpinned by Italy's commitment to technological advancement and the long-term benefits of digital transformation for the nation's economy. The forecast period from 2025 to 2033 anticipates continued strong growth driven by the increasing digital literacy among the population and the ongoing investments in 5G infrastructure. Specific sectors like healthcare and the public sector are expected to drive a significant portion of this growth as they increasingly rely on digital tools for improved efficiency and better service delivery. The market's segmentation is expected to evolve with the rise of specialized solutions tailored to specific industry needs. Competition among major players will likely intensify, leading to innovations in service offerings and pricing strategies. The continued focus on cybersecurity and data protection will be a crucial aspect of the market's development, ensuring the responsible and ethical implementation of digital transformation initiatives across all sectors. Key drivers for this market are: High Digital Maturity and Openness Toward Technology Adoption, High Emphasis on Digital Transformation as Part of National Recovery and Resilience Plan; Rising Cloud Adoption in SMEs. Potential restraints include: Lack of Digital Skills, Data Sharing Protocols. Notable trends are: Internet of Things (IoT) to Hold Major Market Share.

The market size in the artificial intelligence market in Italy was forecast to continuously increase between 2025 and 2031 by in total **** billion euro (+****** percent). After the ninth consecutive increasing year, the market size is estimated to reach ***** billion euro and therefore a new peak in 2031. Find more key insights for the market size in countries and regions like the market size in the 'Machine Learning' segment of the artificial intelligence market in the world and the market size change in the 'Natural Language Processing' segment of the artificial intelligence market in the world.The Statista Market Insights cover a broad range of additional markets.

Italy Factory Automation and Industrial Control Market size was valued at USD 8.2 Billion in 2023 and is projected to reach USD 14.2 Billion by 2031 growing at a CAGR of 7.5% from 2024 to 2031.

Increasing Digital Transformation in Manufacturing: Italy is making large investments in digital technology as it transitions to Industry 4.0. In 2022, 52.3% of Italian industrial enterprises implemented digital technologies, up 12.6% from 2020. This transformation improves production processes by increasing automation, data management and operational efficiency.

Aging Workforce and Skill Shortages in Industrial Sectors: Italy is facing a labor deficit, with an estimated 270,000 skilled industrial workers required by 2025. This gap is linked to the aging workforce and the demand for specialized skills. The shortage is driving automation deployment in order to maintain industrial efficiency and alleviate the effects of manpower shortages.

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Artificial Intelligence (AI) In Food And Beverage Industry Market Size 2025-2029

The artificial intelligence (AI) in food and beverage industry market size is forecast to increase by USD 32.2 billion, at a CAGR of 34.5% between 2024 and 2029.

The Artificial Intelligence (AI) market in the Food and Beverage industry is witnessing significant growth, driven by the rising demand for automation to enhance productivity and streamline operations. The integration of Industrial Internet of Things (IIoT) in food and beverage processing is a key trend, enabling real-time monitoring and predictive maintenance, leading to improved efficiency and quality. However, the lack of skilled personnel poses a significant challenge in implementing and managing AI technologies, necessitating investments in training and development programs.
Companies in the food and beverage sector seeking to capitalize on the opportunities presented by AI must focus on addressing this talent gap while also ensuring compliance with data security regulations and ethical considerations in the use of AI technologies. Effective collaboration between industry players, academia, and governments can help bridge the skills gap and foster innovation in the sector.

What will be the Size of the Artificial Intelligence (AI) In Food And Beverage Industry Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The food and beverage industry continues to experience dynamic market activities, driven by the integration of artificial intelligence (AI) technologies. From recipe development to production efficiency, AI applications span various sectors, shaping the industry's evolving landscape. Robotics and automation streamline processes, ensuring consistent product quality and reducing labor costs. Smart packaging with embedded sensors monitors food freshness and safety, enhancing consumer trust. AI-driven trend forecasting and social media marketing strategies help businesses stay competitive. Deep learning models optimize ingredient usage, improve demand forecasting, and enable personalized nutrition recommendations. Computer vision algorithms facilitate image recognition for food labeling regulations and allergen detection.

AI-powered sensory analysis refines flavor profiling and dietary recommendations. Sustainability reporting, precision fermentation, and food waste reduction are key areas where AI contributes to industry innovation. Business model development and supply chain management are optimized through AI-driven data analytics platforms and e-commerce solutions. AI's role in the food and beverage industry extends to food safety, consumer insights, and competitive landscape analysis. Food fraud detection and cloud-based solutions further enhance transparency and efficiency. The continuous integration of AI technologies promises a future of smart, sustainable, and personalized food production and delivery.

How is this Artificial Intelligence (AI) In Food And Beverage Industry Industry segmented?

The artificial intelligence (AI) in food and beverage industry industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Transportation and logistics
  Production planning
  Quality control
  Others


End-user

  Food processing industry
  Hotels and restaurants
  Beverage industry


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

.

By Type Insights

The transportation and logistics segment is estimated to witness significant growth during the forecast period.

In the food and beverage industry, automation is becoming a key trend as players seek to optimize operations and improve production efficiency. This is particularly evident in intralogistics, where manufacturers, beverage wholesalers, breweries, and bottling plants are employing advanced technologies such as machine vision systems, robotics, and automation to streamline their warehousing and distribution processes. The need for flexibility and swift returns processing is also driving demand for these solutions. The transportation and logistics segment of the global AI market in food and beverage industry is poised for growth, with manufacturers investing in precision fermentation, deep learning models, and other advanced technologies to enhance their manufacturing processes.

The emergence of digitization and new business models is bringing about a paradigm shift in the industry. Food labeling regulations and product traceability are also major considerations for player

The Italy Digital Transformation Market report segments the industry into By Technology (Analytics AI and ML, Internet of Things (IoT), Cybersecurity, Industrial Robotics, Extended Reality, Blockchain, Cloud and Edge Computing, 3D Printing, Others), and By End-User Industry (Manufacturing, Oil, Gas and Utilities, Travel and Transportation, Retail and e-commerce, BFSI, Healthcare, Telecom and IT, and more).

Snapshot img

Artificial Intelligence (AI) Market Size 2025-2029

The artificial intelligence market size is forecast to increase by USD 369.1 billion, at a CAGR of 34.7% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing need to prevent fraud and malicious attacks. As businesses continue to digitize their operations, the risk of cyber threats escalates, making AI an essential tool for detecting and mitigating these risks. Another key trend in the market is the shift towards cloud-based AI services. This model offers numerous benefits, including cost savings, scalability, and flexibility, making it an attractive option for businesses of all sizes. However, the market also faces challenges, most notably the shortage of AI experts. As the demand for AI solutions continues to grow, there is a pressing need for skilled professionals to design, develop, and implement these technologies.
Companies seeking to capitalize on market opportunities must invest in training and recruitment efforts to address this talent gap. Additionally, navigating ethical considerations and ensuring transparency in AI applications will be crucial for maintaining customer trust and regulatory compliance. Overall, the AI market presents significant opportunities for innovation and growth, but also requires careful planning and investment to overcome challenges effectively.

What will be the Size of the Artificial Intelligence (AI) Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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Artificial Intelligence (AI) infrastructure continues to evolve, shaping market dynamics across various sectors. Performance metrics, such as F1-score and model evaluation, are crucial in assessing the effectiveness of AI applications. In finance, Deep Learning (DL) models are utilized for algorithmic trading and fraud detection, while model interpretability is essential for ethical considerations. Computer vision and image recognition are transforming industries like healthcare and education. Data security remains a priority, with privacy concerns driving the need for data mining and edge computing. AI is revolutionizing retail, security, manufacturing, and transportation, among others. Predictive modeling and process optimization are key applications, with hardware acceleration enhancing model deployment.

Explainable AI (XAI) is gaining traction, ensuring model interpretability and mitigating bias detection. AI governance is crucial in managing the ethical implications and ensuring decision support systems remain unbiased. The ongoing unfolding of market activities reveals a continuous integration of AI technologies, including virtual assistants, speech recognition, and bias detection, into various industries.

How is this Artificial Intelligence (AI) Industry segmented?

The artificial intelligence (ai) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Component

  Software
  Hardware
  Services


End-user

  Retail
  Banking
  Manufacturing
  Healthcare
  Others


Technology

  Deep learning
  Machine learning
  NLP
  Gen AI


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Component Insights

The software segment is estimated to witness significant growth during the forecast period.

Artificial Intelligence (AI) infrastructure continues to evolve, with performance metrics playing a crucial role in driving advancements. Deep learning (DL) and machine learning (ML) algorithms are at the forefront, powering applications in various sectors. In finance, AI is revolutionizing algorithmic trading and fraud detection. Explainable AI (XAI) is gaining traction, ensuring transparency and accountability. Image recognition and computer vision are transforming industries, from healthcare to retail. Data security is paramount, with edge computing and cloud computing offering solutions. Data analysis is a key application, fueling predictive modeling and process optimization. Ethical considerations and bias detection are essential in AI governance.

Deep learning models require significant computational power, necessitating hardware acceleration. Data mining uncovers valuable insights, while privacy concerns persist. Virtual assistants and speech recognition are enhancing customer experiences. AI is optimizing manufacturing processes and improving decision-making in transportation. Model deployment and evaluation using metrics like F1-score are critical for successful implementation.

What’s Included

The Italian Open-Ended Question Answering Dataset is a meticulously curated collection of comprehensive Question-Answer pairs. It serves as a valuable resource for training Large Language Models (LLMs) and Question-answering models in the Italian language, advancing the field of artificial intelligence.

This QA dataset comprises a diverse set of open-ended questions paired with corresponding answers in Italian. There is no context paragraph given to choose an answer from, and each question is answered without any predefined context content. The questions cover a broad range of topics, including science, history, technology, geography, literature, current affairs, and more.

Each question is accompanied by an answer, providing valuable information and insights to enhance the language model training process. Both the questions and answers were manually curated by native Italian people, and references were taken from diverse sources like books, news articles, websites, and other reliable references.

This question-answer prompt completion dataset contains different types of prompts, including instruction type, continuation type, and in-context learning (zero-shot, few-shot) type. The dataset also contains questions and answers with different types of rich text, including tables, code, JSON, etc., with proper markdown.

To ensure diversity, this Q&A dataset includes questions with varying complexity levels, ranging from easy to medium and hard. Different types of questions, such as multiple-choice, direct, and true/false, are included. Additionally, questions are further classified into fact-based and opinion-based categories, creating a comprehensive variety. The QA dataset also contains the question with constraints and persona restrictions, which makes it even more useful for LLM training.

To accommodate varied learning experiences, the dataset incorporates different types of answer formats. These formats include single-word, short phrases, single sentences, and paragraph types of answers. The answer contains text strings, numerical values, date and time formats as well. Such diversity strengthens the Language model's ability to generate coherent and contextually appropriate answers.

This fully labeled Italian Open Ended Question Answer Dataset is available in JSON and CSV formats. It includes annotation details such as id, language, domain, question_length, prompt_type, question_category, question_type, complexity, answer_type, rich_text.

The dataset upholds the highest standards of quality and accuracy. Each question undergoes careful validation, and the corresponding answers are thoroughly verified. To prioritize inclusivity, the dataset incorporates questions and answers representing diverse perspectives and writing styles, ensuring it remains unbiased and avoids perpetuating discrimination.

Both the question and answers in Italian are grammatically accurate without any word or grammatical errors. No copyrighted, toxic, or harmful content is used while building this dataset.

The entire dataset was prepared with the assistance of human curators from the FutureBeeAI crowd community. Continuous efforts are made to add more assets to this dataset, ensuring its growth and relevance. Additionally, FutureBeeAI offers the ability to collect custom question-answer data tailored to specific needs, providing flexibility and customization options.

The dataset, created by FutureBeeAI, is now ready for commercial use. Researchers, data scientists, and developers can utilize this fully labeled and ready-to-deploy Italian Open Ended Question Answer Dataset to enhance the language understanding capabilities of their generative ai models, improve response generation, and explore new approaches to NLP question-answering tasks.