AI Industrial Robotics - CIS

  • CIS
  • The market size in the AI Industrial Robotics market is projected to reach US$65.65m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 24.78%, resulting in a market volume of US$247.80m 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 CIS nan is witnessing significant growth due to factors such as technological advancements, increasing demand for automation, and rising investment in AI robotics. This substantial growth rate is also driven by the convenience and efficiency offered by AI robotics in industrial applications.

Customer preferences:
The rise of AI industrial robotics is revolutionizing the manufacturing industry by increasing productivity and efficiency. With the growing adoption of smart factories, there is a shift towards more customized and personalized production. This is driven by consumer demand for unique and personalized products, leading to the integration of AI and robotics to enable faster and more flexible manufacturing processes. Additionally, the use of AI in quality control and predictive maintenance is gaining traction, reducing downtime and improving overall product quality.

Trends in the market:
In the AI Industrial Robotics Market of the AI Robotics Market within the Artificial Intelligence Market, there is a rising trend of using collaborative robots, or cobots, to increase efficiency and productivity in manufacturing. These cobots are designed to work alongside humans, reducing the need for separate workspaces and improving safety. This trend is significant as it allows for more flexible and agile production processes and has potential implications for industry stakeholders, including increased cost savings and improved quality control. Additionally, there is a growing focus on the development of self-learning robots, which can adapt to changing environments and tasks, further enhancing the capabilities of the industrial robotics market.

Local special circumstances:
In the AI Industrial Robotics Market of the AI Robotics Market within the Artificial Intelligence Market, local factors play a crucial role in shaping market dynamics. For example, in China, the government has heavily invested in automation and robotics to boost manufacturing efficiency and reduce labor costs. In Europe, strict regulations on worker safety and environmental sustainability have led to the adoption of collaborative robots in the manufacturing sector. In Japan, an aging population and labor shortage have fueled the demand for industrial robots in various industries, such as healthcare and logistics. These unique local factors are driving the growth of the AI Industrial Robotics Market in different regions.

Underlying macroeconomic factors:
The growth of the AI Industrial Robotics market is heavily influenced by macroeconomic factors such as advancements in artificial intelligence technology, government support, and investments in research and development. Countries with favorable regulatory environments and strong investment in AI are experiencing faster market growth compared to regions with regulatory challenges and limited funding for innovation. Additionally, the increasing demand for automation and the rise of Industry 4.0 are driving the adoption of AI industrial robotics to increase efficiency and productivity in manufacturing and other industries.

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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