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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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
The Artificial Intelligence market in Eastern Asia is witnessing extraordinary growth, fueled by factors like high adoption of digital technologies, growing health consciousness among individuals, and the convenience of online health services. The market's rapid growth is being influenced by the increasing demand for advanced AI solutions in the region.
Customer preferences: With the rapid growth of the Generative AI Market within the Artificial Intelligence Market in Eastern Asia, consumers are increasingly utilizing AI-driven solutions for personalized and efficient shopping experiences. This trend is driven by the region's strong tech-savvy culture and the growing popularity of e-commerce platforms. Additionally, the rise of smart assistants and chatbots has also led to a shift towards AI-powered customer service, catering to the diverse language preferences and communication styles prevalent in the region.
Trends in the market: In Eastern Asia, the Generative AI market within the Artificial Intelligence market is experiencing a surge in demand for AI-powered customer service solutions. With the rise of e-commerce and virtual assistants, companies are turning to Generative AI to improve the efficiency and personalization of their customer interactions. This trend is expected to continue as AI technology advances and companies look for ways to streamline their customer service processes. As a result, industry stakeholders can expect to see increased competition and innovation in the Generative AI market, creating opportunities for growth and disruption in the region.
Local special circumstances: In Japan, the Generative AI market is thriving due to the country's high demand for automation and efficiency in industries such as manufacturing and finance. The government's focus on promoting advanced technologies and investment in research and development has also contributed to the growth of this market. Additionally, Japan's aging population has created a need for AI-powered healthcare solutions, leading to the emergence of medical diagnosis and treatment systems based on Generative AI.
Underlying macroeconomic factors: The Generative AI Market within the Artificial Intelligence Market is influenced by macroeconomic factors such as technological advancements, government support, and investment in research and development. Countries with strong government initiatives and investments in AI technology are experiencing faster market growth compared to regions with limited government support. Additionally, the growing demand for AI solutions in various industries, such as healthcare, finance, and manufacturing, is driving the growth of the market. Moreover, the increasing adoption of cloud-based AI solutions and the rising demand for automation in businesses are also contributing to the growth of the market.
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
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.