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Generative AI - China

China
  • The market size in the Generative AI market is projected to reach US$5.48bn in 2025.
  • The market size is expected to show an annual growth rate (CAGR 2025-2030) of 41.52%, resulting in a market volume of US$31.12bn by 2030.
  • In global comparison, the largest market size will be United States (US$20.29bn in 2025).

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 China has witnessed remarkable growth, driven by factors like increasing adoption of AI technologies, growing awareness about health, and convenience of online services. This extraordinary growth is impacted by the country's inclination towards technological advancements and its expanding healthcare industry.

    Customer preferences:
    The increasing adoption of Generative AI in China is driven by the country's growing tech-savvy population and the government's support for AI development. This has led to a surge in demand for advanced AI solutions, such as personalized virtual assistants and AI-powered chatbots. Additionally, the rise of online shopping and e-commerce platforms has also led to the integration of AI technology to enhance the shopping experience for consumers. Moreover, the growing trend of smart homes and connected devices is further fueling the demand for Generative AI, as consumers seek more efficient and personalized solutions for everyday tasks and activities.

    Trends in the market:
    In China, the Generative AI market is experiencing a significant increase in demand from industries such as manufacturing, healthcare, and finance. This can be attributed to the government's push for digitalization and the increasing use of data-driven decision making. Additionally, there is a rising trend of using Generative AI for predictive maintenance and optimization of processes. This trajectory is expected to continue as companies seek to improve efficiency and reduce costs. This trend has substantial implications for stakeholders, as it presents opportunities for growth and innovation, but also raises concerns about job displacement and the need for upskilling the workforce.

    Local special circumstances:
    In China, the Generative AI market is experiencing rapid growth due to the country's large population and high demand for advanced technology. The government's support for AI research and development has also greatly contributed to the market's success. Additionally, China's unique cultural emphasis on achieving technological advancements and its large pool of skilled engineers have created a favorable environment for the growth of the Generative AI market. Furthermore, the country's strict data privacy regulations have influenced the development of AI models that prioritize data protection, making it a key factor in shaping the market dynamics.

    Underlying macroeconomic factors:
    The Generative AI Market within the Artificial Intelligence Market in China is significantly impacted by macroeconomic factors such as government support, technological advancements, and investment in AI infrastructure. China's strong focus on AI development, coupled with its growing economy and favorable regulatory environment, has led to a rapid growth in the market. Additionally, the increasing adoption of AI in various industries, such as healthcare, finance, and manufacturing, is driving the demand for generative AI solutions in China. Furthermore, the country's large population and high internet penetration provide a vast market for AI technologies to thrive and expand.

    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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