Generative AI - APAC | Statista Market Forecast

The market size in the Generative AI market is projected to reach US$8.79bn 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$86.77bn 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).

For more information on the data displayed, use the info button right next to the boxes.

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

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

The APAC nan Artificial Intelligence Market is experiencing extraordinary growth, driven by the increasing adoption of digital technologies, rising awareness of health among consumers, and the convenience of online health services. The market's growth rate is impacted by the growing demand for innovative AI solutions in various industries.

Customer preferences: Consumers in APAC are increasingly turning to generative AI solutions for personalized and efficient digital experiences. The region's diverse cultural backgrounds and rapidly evolving lifestyles have led to a demand for AI-powered virtual assistants and chatbots that can understand and cater to individual preferences. Additionally, the rise of e-commerce and online shopping has created a need for AI-powered recommendation engines that can provide personalized product suggestions. This trend is also driven by the growing adoption of smart devices and the need for seamless integration and automation in daily tasks.

Trends in the market: In APAC, the Generative AI market within the Artificial Intelligence market is experiencing a surge in demand for personalized and interactive solutions across various industries. This trend is driven by the increasing adoption of advanced technologies such as natural language processing and deep learning. As a result, companies are investing in R&D to develop more sophisticated Generative AI tools that can improve efficiency and decision-making processes. This trend is expected to continue, offering significant opportunities for industry stakeholders to tap into the rapidly growing market and stay ahead of the competition.

Local special circumstances: In Japan, the Generative AI market is experiencing significant growth due to the country's advanced technology infrastructure and high adoption rate of AI solutions across various industries. The market is also influenced by the country's strict data privacy regulations, driving the demand for secure and transparent AI systems. In China, the market is driven by the government's heavy investments in AI research and development, as well as the country's large population and rising demand for personalized and efficient services.

Underlying macroeconomic factors: The Generative AI Market within the Artificial Intelligence Market in APAC is heavily influenced by macroeconomic factors such as technological advancements, government support, and investment in AI infrastructure. Countries with favorable policies and significant investments in AI technology are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Moreover, the increasing demand for AI solutions in various industries, such as healthcare, finance, and manufacturing, is driving the growth of the market in APAC. Additionally, the region's growing population and rising disposable income are also contributing to the increasing adoption of AI technologies.

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.

This report presents a comprehensive analysis and additional information on the Technology market, in a PDF format.

Artificial intelligence evokes images of supercomputer assistants, machines that can think creatively, and, to some, scenes from their favorite sci-fi movie. The reality, despite not being as futuristic, is not far off from this. AI refers to the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to language, decisions, and problems. The market for AI technologies is vast, amounting to around 200 billion U.S. dollars in 2023 and is expected to grow well beyond that to over 1.8 trillion U.S. dollars by 2030.

Artificial intelligence (AI), the technology that allows digital computers or computer-controlled robots to perform tasks more commonly associated with intelligent beings, has been leaping into the limelight following the release of a wide variety of Generative AI models in 2023. The United States, being the largest economy in the world, has a natural advantage. Although human-like androids such as those portrayed in the science fiction movie Blade Runner are still far from reality, applications of AI such as smartphone virtual assistants and industrial robots are already widespread in U.S. society. The industry’s powerful ability to improve efficiency and increase productivity has made it of strategic importance to U.S. industries and government, both of which push the U.S. lead in the AI race.