AI Industrial Robotics - Taiwan

  • Taiwan
  • The market size in the AI Industrial Robotics market is projected to reach US$74.19m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 24.66%, resulting in a market volume of US$278.40m by 2030.
  • In global comparison, the largest market size will be in the United States (US$2,940.00m in 2024).
 
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Analyst Opinion

The AI Industrial Robotics Market in Taiwan is experiencing substantial growth, driven by factors such as increasing integration of AI technology, rising demand for automation in industries, and government initiatives promoting AI adoption. This growth is also influenced by the convenience and efficiency offered by AI robotics in various industries.

Customer preferences:
As Taiwan continues to invest in AI and industrial robotics, there has been a notable increase in demand for advanced automation and smart manufacturing solutions. This is driven by the country's aging population and declining birth rate, leading to a shortage of labor. Additionally, there is a growing focus on sustainability and reducing human labor in heavy industries, further fueling the adoption of AI industrial robots. This trend is expected to continue as Taiwan aims to become a leader in the global AI market.

Trends in the market:
In Taiwan, the AI Industrial Robotics Market is experiencing a surge in demand due to the country's focus on developing smart manufacturing capabilities. This trend is expected to continue as more industries adopt AI-driven automation, leading to increased efficiency and productivity. Additionally, there is a growing emphasis on developing AI-powered robotic systems for hazardous and repetitive tasks. This shift towards intelligent robotics is expected to revolutionize the manufacturing sector in Taiwan and create significant opportunities for industry players. However, it may also lead to concerns over job displacement and the need for upskilling the workforce to work alongside AI-driven robots.

Local special circumstances:
In Taiwan, the AI Industrial Robotics Market within the Artificial Intelligence Market is heavily influenced by the country's advanced manufacturing industry. With a strong emphasis on precision and efficiency, Taiwanese companies are increasingly adopting AI industrial robotics solutions to streamline their production processes. Additionally, the government's support for research and development in AI and robotics has led to a thriving ecosystem of startups and collaborations between academia and industry. This unique environment has contributed to the rapid growth of the AI industrial robotics market in Taiwan.

Underlying macroeconomic factors:
The growth of the AI Industrial Robotics market is heavily influenced by macroeconomic factors such as technological advancements, government support, and investment in industrial infrastructure. Countries with favorable regulatory environments and significant investment in AI technologies are experiencing faster market growth compared to regions with regulatory challenges and limited industrial funding. Moreover, the increasing demand for automation in industries, along with the rising need for cost-effective and efficient manufacturing processes, is driving the adoption of AI industrial robotics solutions globally.

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