Artificial Intelligence - APAC

The APAC Artificial Intelligence market is witnessing rapid growth, fueled by factors such as increasing adoption of digital technologies, rising awareness about the potential of AI, and the convenience offered by online AI services. The market's elevated growth rate can be attributed to advancements in AI Robotics, Autonomous & Sensor Technology, Computer Vision, Machine Learning, Natural Language Processing, and Generative AI. Factors such as government initiatives, growing demand for automation, and increased investments in AI research and development are driving the market's growth in the region.

Customer preferences: As the adoption of Artificial Intelligence in various industries continues to grow in APAC, there is a notable shift towards personalized and efficient experiences. This trend is driven by the region's diverse cultural and demographic landscape, where consumers are increasingly seeking tailored solutions that align with their lifestyle preferences. This has led to an increase in demand for AI-powered virtual assistants and chatbots that can provide personalized recommendations and assistance. Additionally, there is a growing interest in AI-powered personalized marketing and advertising, as consumers look for more relevant and targeted messaging. This shift towards hyper-personalization and convenience is expected to drive the growth of the AI market in APAC.

Trends in the market: In APAC, the Artificial Intelligence market is experiencing a surge in the adoption of AI-powered virtual assistants, chatbots, and other automation tools. This trend is driven by the increasing demand for efficient and cost-effective customer service solutions. As businesses strive to improve their customer experience and reduce operational costs, AI technology is becoming a crucial part of their strategy. This trend is expected to continue in the coming years, with the potential to transform the way businesses interact with their customers and manage their operations. Industry stakeholders must stay abreast of these advancements and invest in AI to stay competitive in the market.

Local special circumstances: In China, the Artificial Intelligence market is rapidly growing due to the government's support for technological advancements and its focus on becoming a global leader in AI. The country's large population and the presence of major tech companies have also contributed to the market's growth. In Japan, the market is driven by the aging population and the need for advanced healthcare solutions. The country's strict data privacy laws have also influenced the development of AI applications in healthcare.

Underlying macroeconomic factors: The growth of the Artificial Intelligence market in APAC is heavily influenced by macroeconomic factors such as technological advancements, government policies, and investment in digital infrastructure. Countries with supportive regulatory environments and proactive investments in AI technology are experiencing rapid market growth, while regions with regulatory challenges and limited funding are lagging behind. Furthermore, the rising demand for AI solutions in various industries, such as healthcare and finance, is driven by the growing population and increasing need for efficiency and cost-effectiveness.

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.