AI Industrial Robotics - Worldwide

The AI Industrial Robotics market is rapidly expanding globally, fueled by factors such as the widespread adoption of AI technologies, increasing awareness about the benefits of AI in various industries, and the convenience provided by AI-powered robotic solutions. The market is experiencing substantial growth, driven by the increasing demand for automation and efficiency in industrial processes. This growth rate is influenced by advancements in AI technology and its widespread application in various industries.

Customer preferences: As the use of AI in industrial robotics continues to grow, there is a notable trend towards implementing collaborative robots (cobots) in manufacturing and assembly processes. This is driven by a need for increased efficiency and safety, as well as a desire to integrate AI-powered technology with human workers. Additionally, there is a growing focus on sustainability in the industry, with AI robotics being used to optimize energy consumption and reduce waste.

Trends in the market: In recent years, the AI Industrial Robotics Market of the AI Robotics Market within the Artificial Intelligence Market has experienced significant growth and development globally. One key trend is the increasing integration of AI technology into industrial robotics, allowing for more advanced and efficient automation processes. Additionally, there is a growing focus on developing AI-powered robots for hazardous and complex tasks, reducing the risk to human workers. These trends are significant as they have the potential to revolutionize various industries, increasing productivity and reducing costs. However, they also raise implications for industry stakeholders, such as the need for upskilling and reskilling of the workforce to adapt to the changing landscape of AI industrial robotics.

Local special circumstances: In Japan, the AI Industrial Robotics Market is thriving due to the country's advanced manufacturing industry and government support for automation. The strong cultural emphasis on efficiency and precision has also contributed to the widespread adoption of AI robotics in the manufacturing sector. In China, the market is driven by the government's efforts to upgrade its manufacturing capabilities through the integration of AI technologies, as well as the country's large population and increasing labor costs. These factors have created a high demand for AI industrial robotics, particularly in the automotive and electronics industries.

Underlying macroeconomic factors: The AI Industrial Robotics market is heavily impacted by macroeconomic factors such as technological advancements, government support, and investment in industrial infrastructure. Countries with favorable regulatory environments and strong industrial investment are experiencing higher market growth compared to regions with regulatory challenges and limited funding. Additionally, the growing demand for automation in industries such as manufacturing, logistics, and healthcare is driving the growth of the AI Industrial Robotics market. The increasing need for efficiency and productivity, as well as the adoption of Industry 4.0 practices, are also contributing to the market's growth.

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.