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Generative AI - Benelux

Benelux
  • The market size in the Generative AI market is projected to reach US$1.06bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 46.47%, resulting in a market volume of US$10.52bn by 2030.
  • In global comparison, the largest market size will be United States (US$11.66bn in 2024).

Definition:
Generative artificial intelligence (AI) is a field of artificial intelligence that focuses on creating models and systems capable of generating new content, such as images, videos, music, or text. By training on large datasets, generative AI models learn patterns and structures within the data to produce novel and realistic outputs that mimic the original data distribution. Using techniques like generative adversarial networks (GANs) or variational autoencoders (VAEs), generative AI has the potential to enhance creativity, enable data synthesis, and revolutionize various industries including art, entertainment, and content creation.

Additional Information:

The market comprises two key performance indicators: market sizes, and market sizes by industry. Market sizes are generated by the funding amount of Generative Artificial Intelligence companies. Key players of the market include companies such as Open AI, NVIDIA DeepL Learning and Google (Magenta, DeepDream).

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In-Scope

  • Applications of generative artificial intelligence to create new content, such as images, music, and text, which is indistinguishable from human-generated content.

Out-Of-Scope

  • Non-artificial intelligence applications of generative systems, such as procedural content generation in video games, which do not involve machine learning or creativity.
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Study Details

    Market Size

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Mar 2024

    Source: Statista Market Insights

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Mar 2024

    Source: Statista Market Insights

    Analyst Opinion

    The Generative AI market in the Benelux region is experiencing extraordinary growth, thanks to factors such as widespread adoption of digital technologies, increasing health awareness, and the convenience of online health services. This growth is being driven by the region's strong focus on innovation and investment in AI, making it a hub for cutting-edge technology and advancements in the healthcare industry.

    Customer preferences:
    The Benelux region has witnessed a growing demand for Generative AI solutions in various industries, including healthcare, finance, and manufacturing. This trend is primarily driven by the need for automated and efficient processes, as well as the increasing adoption of advanced technologies. Additionally, the rise of startups and small businesses in the region has created a demand for cost-effective and scalable AI solutions, further fueling the growth of the Generative AI market.

    Trends in the market:
    In Benelux, there is a rising trend of companies incorporating Generative AI solutions to improve customer experience and streamline operations. This is driven by the increasing adoption of AI technologies in various industries, such as retail, healthcare, and finance. The trajectory of this trend is expected to continue, with more companies leveraging Generative AI to gain a competitive edge. This has significant implications for industry stakeholders, as it can lead to increased efficiency, cost savings, and improved customer satisfaction. Additionally, the use of Generative AI can open up new opportunities for businesses to innovate and expand their offerings.

    Local special circumstances:
    In Benelux, the Generative AI Market within the Artificial Intelligence Market is heavily influenced by the region's strong focus on innovation and technology. The Netherlands, Belgium, and Luxembourg are all known for their advanced research and development capabilities, creating a favorable environment for the growth of Generative AI. Additionally, the region's highly skilled workforce and supportive government policies contribute to its position as a leader in the field of AI. However, the market is also impacted by strict data privacy regulations, which may pose challenges for companies in terms of data collection and usage.

    Underlying macroeconomic factors:
    The Generative AI Market within the Artificial Intelligence Market in Benelux is heavily influenced by macroeconomic factors such as technological advancements, government policies, and investment in AI infrastructure. The region's strong economic growth and supportive regulations have fostered a favorable environment for AI development, leading to a high demand for generative AI solutions. Additionally, the increasing adoption of AI in various industries, coupled with the region's highly skilled workforce, is driving the growth of the market in Benelux. Furthermore, the region's strategic location and strong ties to global markets also contribute to its thriving AI sector.

    Global Comparison

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Mar 2024

    Source: Statista Market Insights

    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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