Machine Learning - Asia

  • Asia
  • The market size in the Machine Learning market is projected to reach US$29.07bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 36.08%, resulting in a market volume of US$184.60bn by 2030.
  • In global comparison, the largest market size will be in the United States (US$21.14bn in 2024).
 
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Analyst Opinion

The Artificial Intelligence market in Asia is witnessing extraordinary growth, propelled by the adoption of Machine Learning. Factors such as increasing awareness about AI, convenience of online services, and technological advancements are driving this growth rate.

Customer preferences:
With the rapid development of Machine Learning technology in Asia, there has been a significant increase in demand for AI-powered virtual assistants and chatbots. These tools are becoming increasingly popular among consumers, as they offer personalized and efficient customer service experiences. Additionally, there is a growing trend towards personalized product recommendations and targeted advertisements, driven by the use of Machine Learning algorithms. This reflects the shift in consumer preferences towards convenience and personalized experiences, as well as the increasing reliance on technology in daily life.

Trends in the market:
In Asia, the Machine Learning Market within the Artificial Intelligence Market is experiencing a surge in demand for AI-powered chatbots and virtual assistants, especially in the retail and customer service industries. This trend is driven by the increasing adoption of e-commerce and the need for efficient and personalized customer interactions. Additionally, there is a growing trend of using AI for predictive maintenance and supply chain optimization in manufacturing and logistics sectors. These trends signify the potential for cost savings and increased efficiency for businesses. However, there are concerns about the impact of AI on jobs and privacy, which require careful consideration by industry stakeholders.

Local special circumstances:
In China, the Machine Learning market is rapidly expanding due to the country's large population and government support for technological advancements. This has led to the rise of innovative startups and major investments in AI research and development. Furthermore, the cultural emphasis on education and technology has created a strong talent pool for Machine Learning experts, driving market growth. Additionally, China's strict data privacy regulations have encouraged the development of ethical AI solutions, setting it apart from other markets.

Underlying macroeconomic factors:
The Machine Learning Market within the Artificial Intelligence Market in Asia is greatly impacted by macroeconomic factors such as government initiatives, technological advancements, and investment in digital infrastructure. Countries with supportive policies and high investments in AI and ML technologies are witnessing significant market growth compared to those with regulatory challenges and limited financial support. Moreover, the rising demand for automation and data-driven decision making in various industries, coupled with the increasing adoption of AI in emerging economies, is driving the growth of the market in Asia.

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.

Overview

  • Market Size
  • Analyst Opinion
  • Global Comparison
  • Methodology
  • Key Market Indicators
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