Generative AI - D-A-CH

  • D-A-CH
  • The market size in the Generative AI market is projected to reach US$4.35bn in 2025.
  • The market size is expected to show an annual growth rate (CAGR 2025-2030) of 41.49%, resulting in a market volume of US$24.67bn by 2030.
  • In global comparison, the largest market size will be in the United States (US$20.29bn in 2025).
 
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Analyst Opinion

The Generative AI market in the Artificial Intelligence market in D-A-CH nan is experiencing intense growth, fueled by the increasing use of digital technologies, growing health consciousness among consumers, and the convenience of online health services. These factors are driving the market's rapid growth rate.

Customer preferences:
With the widespread adoption of Generative AI in D-A-CH, there is a growing demand for personalized and culturally relevant content. This has led to a rise in the use of generative models to create tailored marketing campaigns and product recommendations. Additionally, there is an increasing focus on ethical and responsible AI development, with companies incorporating diversity and inclusivity into their AI models. This trend is driven by the recognition of the impact of AI on society and the need for fair and unbiased AI solutions.

Trends in the market:
In D-A-CH, the Generative AI market is experiencing a surge in demand for automated content generation solutions, as companies look for ways to streamline their content creation processes. This trend is driven by the increasing need for personalized and relevant content, as well as the potential cost savings and efficiency gains. Additionally, there is a growing trend towards using generative AI for creative tasks, such as designing logos and advertisements. These developments are significant for industry stakeholders, as they offer opportunities to improve productivity and competitiveness. However, there may also be concerns about the potential impact on jobs and the need for regulatory oversight.

Local special circumstances:
In Germany, the Generative AI Market is experiencing significant growth due to the country's strong manufacturing industry and government initiatives promoting the adoption of AI in various industries. The market is also driven by the country's strict data privacy laws, which have led to the development of AI solutions that comply with these regulations. In Switzerland, the market is propelled by the country's highly educated workforce and its focus on research and innovation in the field of AI. This has led to the emergence of several startups and partnerships between universities and companies, driving the growth of the market.

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 supportive policies and investments in AI technology are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Additionally, the increasing demand for automation and efficiency in various industries, coupled with the rising adoption of cloud-based solutions, is driving the demand for Generative AI solutions in the D-A-CH region.

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.

Overview

  • Market Size
  • Analyst Opinion
  • Global Comparison
  • Methodology
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