Generative AI - Southeast Asia | Statista Market Forecast

The market size in the Generative AI market is projected to reach US$1.32bn 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$13.04bn 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 Artificial Intelligence market in Southeast Asia has seen an extraordinary growth rate, driven by factors such as increasing adoption of digital technologies and rising awareness of the benefits of AI. The convenience offered by online AI services has also played a significant role in this growth.

Customer preferences: One notable trend in the Generative AI Market within the Artificial Intelligence Market in Southeast Asia is the growing adoption of AI-powered chatbots for customer service and support. This is driven by the region's increasing digitalization and the need for businesses to provide round-the-clock support to their customers. Additionally, the use of AI in e-commerce and retail is on the rise, as companies leverage personalized product recommendations and virtual assistants to enhance the customer experience. This trend is also fueled by the region's young and tech-savvy population, who are more open to interacting with AI-powered solutions.

Trends in the market: In Southeast Asia, the Generative AI market within the Artificial Intelligence Market is experiencing a surge in demand for AI-powered chatbots and virtual assistants. This trend is driven by the region's increasing adoption of digital technologies and the need for efficient customer service solutions. As a result, companies are investing heavily in advanced AI technologies to improve customer engagement and streamline business processes. This trend is expected to continue in the coming years, with the potential to transform various industries, including retail, healthcare, and finance. Furthermore, the widespread use of AI in Southeast Asia is also creating opportunities for data-driven decision making and personalized customer experiences. As a result, industry stakeholders must be prepared to embrace these advancements and adapt their strategies to stay competitive in the market.

Local special circumstances: In Southeast Asia, the Generative AI Market within the Artificial Intelligence Market is experiencing rapid growth due to the region's large and growing tech-savvy population, as well as the increasing adoption of AI technologies by businesses. Additionally, the diverse cultural and regulatory landscape of Southeast Asian countries, such as Indonesia, Malaysia, and Vietnam, presents unique challenges and opportunities for the market. This includes varying levels of government support and investment in AI, as well as cultural attitudes towards AI and data privacy. These factors are influencing market dynamics and shaping the development of the Generative AI market in this region.

Underlying macroeconomic factors: The Generative AI market in Southeast Asia is heavily influenced by macroeconomic factors such as technological advancements, government support, and investment in AI infrastructure. Countries with favorable regulatory environments and strong investment in AI technology are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Additionally, the increasing adoption of digital transformation and the rise of the digital economy in the region are driving the demand for generative AI solutions to improve efficiency and productivity. This trend is further accelerated by the growing demand for AI-driven solutions in various industries, such as healthcare, finance, and manufacturing, as businesses seek to stay competitive in the global market.

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.