Generative AI - Italy

  • Italy
  • The market size in the Generative AI market is projected to reach €0.67bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 46.23%, resulting in a market volume of €6.55bn by 2030.
  • In global comparison, the largest market size will be in the United States (€10.70bn in 2024).
 
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Analyst Opinion

The AI market in Italy is witnessing extraordinary growth, driven by factors such as the increasing adoption of digital technologies, growing awareness of AI in healthcare, and the convenience of online services. This market has been experiencing significant growth worldwide, with a high growth rate attributed to the advancements in artificial intelligence and its impact on various industries.

Customer preferences:
Consumers in Italy are increasingly embracing Generative AI technology in various industries, such as finance, healthcare, and retail. This can be attributed to the growing adoption of digital solutions and automation in these sectors. Additionally, there is a shift towards personalized and intuitive experiences, with consumers valuing convenience and efficiency. This trend is further fueled by the country's aging population and the need for more efficient and accessible services. As a result, there is a growing demand for Generative AI solutions that can cater to these evolving consumer preferences and lifestyle factors.

Trends in the market:
In Italy, the Generative AI market is experiencing a surge in demand due to the adoption of AI technology in various industries such as healthcare, finance, and automotive. This is driven by the increasing need for automation, efficiency, and cost reduction. Additionally, there is a growing trend of using generative AI for creative applications such as music and art. This trend is expected to continue, with more companies investing in research and development to enhance the capabilities of generative AI. This has significant implications for industry stakeholders, as it opens up new opportunities for revenue growth and innovation. However, there are also concerns about the ethical implications of using AI in creative fields, which may need to be addressed to ensure responsible and ethical use of this technology.

Local special circumstances:
In Italy, the Generative AI market is driven by the country's strong focus on innovation and technology. The government's support for research and development in AI has resulted in a thriving startup ecosystem, attracting key players in the market. Additionally, the country's cultural appreciation for art and design has influenced the development of AI-generated content and creative tools. However, strict data privacy regulations may pose challenges for companies in the market, requiring them to adapt their models and strategies accordingly.

Underlying macroeconomic factors:
The growth of the Generative AI Market within the Artificial Intelligence Market is also influenced by macroeconomic factors such as technological advancements, government support, and investment in research and development. Countries with favorable regulatory environments and strong investment in AI technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding for innovation. Additionally, the increasing adoption of AI across industries and the need for efficient and advanced solutions are driving the demand for Generative AI in Italy.

Methodology

Data coverage: The data encompasses B2B, B2G, and B2C enterprises. Figures are based on the funding values from different industries for the market.

Modeling approach / Market size:Market sizes are determined through a top-down approach with a bottom-up validation, building on a specific rationale for each market. As a basis for evaluating markets, we use annual financial reports, funding data, and third-party data. In addition, we use relevant key market indicators and data from country-specific associations such as GDP, number of internet users, number of secure internet servers, and internet penetration. This data helps us estimate the market size for each country individually.

Forecasts:In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing are well suited to forecast digital products and services due to the non-linear growth of technology adoption. The main drivers are the level of digitalization, the number of secure internet servers, and the revenue of the Public Cloud market.

Additional Notes: The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russian-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the market is updated on an ad-hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is weighted for representativeness.

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