Generative AI - Germany

  • Germany
  • The market size in the Generative AI market is projected to reach €1.47bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 46.80%, resulting in a market volume of €14.71bn by 2030.
  • In global comparison, the largest market size will be in the United States (€10.82bn in 2024).
 
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Analyst Opinion

The Generative AI market in Germany is seeing intense growth, fueled by factors such as the widespread adoption of digital technologies, increasing health consciousness among consumers, and the convenience of online health services. This has led to significant growth in the Artificial Intelligence market, making it a promising sector for investment.

Customer preferences:
As the use of artificial intelligence continues to grow in Germany, consumers are increasingly turning to generative AI solutions for personalized and efficient services. This trend is driven by the desire for convenience and tailored experiences, as well as the increasing adoption of smart devices and virtual assistants. Additionally, there is a growing demand for AI-powered chatbots and virtual assistants in customer service and support, reflecting a shift towards more efficient and accessible communication channels.

Trends in the market:
In Germany, the Generative AI market is experiencing a rise in demand for AI-powered systems that can generate human-like content and engage with customers in a conversational manner. This trend is driven by the increasing need for personalized and interactive customer experiences. With the rise of chatbots and virtual assistants, the trajectory of this trend is expected to continue upwards. This has significant implications for industry stakeholders, as it can improve customer engagement, reduce costs, and increase efficiency. However, it also raises concerns about potential job displacement and ethical considerations surrounding the use of AI in customer interactions.

Local special circumstances:
In Germany, the Generative AI market is experiencing significant growth due to the country's strong emphasis on research and development, particularly in the field of artificial intelligence. The government's support for innovation and investment in advanced technology has created a favorable environment for AI companies to thrive. Additionally, Germany's highly skilled workforce and strict data privacy regulations have positioned the country as a leading market for Generative AI solutions.

Underlying macroeconomic factors:
The Generative AI Market within the Artificial Intelligence Market in Germany is heavily influenced by macroeconomic factors such as the country's strong investment in research and development, its favorable regulatory environment for AI technology, and its robust economy. Germany's strong focus on technological advancement and innovation, along with its well-established infrastructure, provides a conducive environment for the growth of the Generative AI Market. Additionally, the increasing demand for AI-driven solutions in various industries, such as healthcare, finance, and manufacturing, is driving the growth of the market in Germany. Furthermore, the country's highly skilled workforce and government support for AI initiatives are also contributing to the market's growth.

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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