Definition:
Artificial intelligence (AI) industrial robotics refers to the integration of artificial intelligence technologies and capabilities into industrial robots for enhanced automation and intelligent decision-making in manufacturing and industrial processes. These robots are equipped with AI algorithms, machine learning, computer vision, and other AI techniques to perform tasks such as assembly, material handling, quality control, and predictive maintenance with higher precision, efficiency, and adaptability. By leveraging AI, industrial robots can analyze data, learn from experience, and optimize their operations in terms of increased productivity, reduced costs, improved safety, and streamlined manufacturing workflows in various industries.
The market comprises two key performance indicators: market sizes and market sizes by industry. Market sizes are generated by the funding amount of Artificial Intelligence Industrial Robotics companies and market revenue data from the Statista robotics market. Key players of the market include companies such as Universal Robots, ABB, and Fanuc.
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Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
The AI Industrial Robotics Market in Central & Western Europe is experiencing substantial growth, driven by factors such as increasing adoption of AI technologies, growing demand for automation in industries, and advancements in robotics technology. This growth is being propelled by the convenience and efficiency offered by AI-powered industrial robots in various sectors.
Customer preferences: The AI Industrial Robotics Market in Central & Western Europe is witnessing a rise in demand for advanced automation solutions in various industries such as automotive, electronics, and healthcare. This trend is driven by increasing labor costs and the need for improved efficiency and precision in manufacturing processes. Furthermore, the adoption of collaborative robots in these regions is also on the rise, as they offer greater flexibility and safety in the workplace. This shift towards advanced automation is expected to continue in the coming years, with the potential for further growth in the AI Industrial Robotics Market.
Trends in the market: In Central & Western Europe, there is a surge in the adoption of AI industrial robotics in manufacturing, particularly in automotive and electronics industries. This is driven by the need for efficiency and cost reduction, as well as advancements in AI technology. In addition, there is a growing trend of collaborative robots, or cobots, working alongside human workers, improving productivity and safety. These developments are significant for industry stakeholders as they can enhance production capabilities and reduce labor costs. However, there may also be potential implications for job displacement and the need for upskilling the workforce to adapt to a more automated environment.
Local special circumstances: In Central and Western Europe, the AI Industrial Robotics Market is thriving due to the region's history of advanced manufacturing and strong focus on innovation. Additionally, the strict regulations governing labor laws and safety standards have led to a high demand for AI-powered robots to perform hazardous and repetitive tasks. Cultural factors, such as the emphasis on efficiency and precision, have also contributed to the growth of this market. With a highly skilled workforce and favorable government policies, Central and Western Europe is poised to become a leader in AI industrial robotics.
Underlying macroeconomic factors: The growth of the AI Industrial Robotics market is also influenced by macroeconomic factors such as technological advancements, government initiatives, and investment in industrial infrastructure. Countries with favorable business environments and strong investment in AI technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Additionally, the increasing demand for automation and efficiency in manufacturing processes is driving the adoption of AI industrial robotics, particularly in the automotive and electronics industries.
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
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.
Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights