AI Industrial Robotics - Eastern Asia

The AI Industrial Robotics Market in Eastern Asia is experiencing significant growth, driven by the increasing adoption of AI technologies, growing awareness of its benefits among businesses, and the convenience of automated processes. This growth rate is also impacted by the development of advanced AI and robotics technology, as well as the increasing demand for more efficient and cost-effective solutions in industries such as manufacturing and healthcare.

Customer preferences: The AI Industrial Robotics Market within the Artificial Intelligence Market is witnessing a growing demand for smart manufacturing solutions, driven by the increasing adoption of Industry 4.0 technologies in Eastern Asian countries. Moreover, the rise of e-commerce and the need for efficient and automated warehouse operations are also contributing to the market's growth. This shift towards automation and digitization is largely driven by the region's aging population and the need for cost-effective solutions to manage labor shortages.

Trends in the market: In Eastern Asia, the AI Industrial Robotics Market within the Artificial Intelligence Market is experiencing a surge in adoption due to the region's strong manufacturing industry and focus on automation. This trend is expected to continue as the market is projected to reach a value of $9.6 billion by 2025. This growth is significant for industry stakeholders, as it presents opportunities for increased efficiency, reduced labor costs, and improved safety in the manufacturing process. Additionally, the rise of collaborative robots, or "cobots," is expected to further drive the growth of the AI Industrial Robotics Market in Eastern Asia, as these robots are designed to work alongside human workers and enhance productivity. This trend also highlights the increasing importance of human-robot interaction and collaboration in the industry.

Local special circumstances: In Eastern Asia, the AI Industrial Robotics Market is influenced by the region's strong manufacturing and industrial sector, leading to a high demand for efficient and cost-effective automation solutions. Additionally, the cultural emphasis on technological advancements and innovation has created a favorable environment for the adoption of AI robotics. However, the regulatory landscape, particularly in China, poses challenges for foreign companies looking to enter the market. The Chinese government's policies and initiatives to promote domestic AI development have resulted in limited market access for international players.

Underlying macroeconomic factors: The growth of the AI Industrial Robotics Market is also influenced by macroeconomic factors such as technological advancements, government support, and investment in industrial infrastructure. Countries with favorable regulatory environments and strong investment in AI industrial robotics are experiencing faster market growth compared to regions with regulatory challenges and limited industrial funding. Additionally, the increasing demand for automation in industries such as manufacturing, automotive, and healthcare is driving the growth of the AI industrial robotics market in Eastern Asia.

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.