AI Service Robotics - Asia

  • Asia
  • The market size in the AI Service Robotics market is projected to reach US$1.97bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 25.94%, resulting in a market volume of US$7.86bn by 2030.
  • In global comparison, the largest market size will be in the United States (US$2,698.00m in 2024).
 
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Analyst Opinion

The AI Service Robotics Market in Asia is experiencing significant growth, driven by the increasing adoption of AI technologies, growing awareness of AI in healthcare, and the convenience of AI-driven online services. This growth rate is being impacted by the region's strong focus on AI development and investment in the healthcare sector.

Customer preferences:
With the growing aging population in Asia, there has been a rise in demand for AI service robots to assist with tasks such as household chores and elderly care. This trend is driven by cultural values of filial piety and a growing shortage of caretakers. In addition, the increasing adoption of smart home technology and the desire for convenience has also contributed to the demand for AI service robots. These trends highlight the potential for AI service robots to significantly improve the quality of life for individuals and families in Asia.

Trends in the market:
In Asia, the AI Service Robotics Market within the Artificial Intelligence Market is experiencing a surge in demand for autonomous delivery robots in the retail and logistics sectors. This trend is driven by the need for contactless delivery and the increasing adoption of e-commerce. Additionally, there is a rising interest in using service robots in healthcare settings, such as hospitals and elderly care facilities, to reduce human-to-human contact and improve efficiency. These trends are expected to continue as industries look for ways to adapt to the new normal post-pandemic, presenting opportunities for AI service robotics market players.

Local special circumstances:
In Asia, the AI Service Robotics Market is heavily influenced by technological advancements and the region's rapidly growing population. In countries like China and Japan, there is a strong emphasis on automation and robotics, leading to a high demand for AI service robots in industries like manufacturing and healthcare. Additionally, cultural norms and preferences for robots as companions or helpers also contribute to the market's growth. In countries like South Korea, where there is a rapidly aging population, there is a particular focus on developing AI service robots for eldercare. This creates a unique market dynamic compared to other regions and presents opportunities for innovation and growth in the AI Service Robotics Market.

Underlying macroeconomic factors:
The growth of the AI Service Robotics Market is also influenced by macroeconomic factors such as technological advancements, government support, and investment in 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 demand for automation and the adoption of AI in various industries are driving the growth of the AI Service Robotics 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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