AI Industrial Robotics - EU-27

The AI Industrial Robotics Market in EU-27 has been experiencing significant growth, driven by the rising demand for automation in industries, advancements in AI technology, and government initiatives to promote the use of robotics. This substantial growth can be attributed to the benefits of increased productivity and efficiency, cost savings, and improved safety offered by AI industrial robots.

Customer preferences: As the demand for automation and efficiency continues to rise, the AI Industrial Robotics Market within the Artificial Intelligence Market is experiencing a shift towards collaborative robots, or "cobots." These robots are designed to work alongside humans, enhancing productivity and safety in manufacturing and industrial settings. This trend is driven by a growing emphasis on human-robot collaboration and the need for adaptable and flexible production processes. Additionally, the rise of "smart factories" and the integration of AI and IoT technologies are further driving the adoption of cobots in Europe.

Trends in the market: In the EU-27, the AI Industrial Robotics Market is experiencing a surge in demand due to the growing adoption of automation in various industries such as manufacturing, logistics, and healthcare. This trend is expected to continue as governments and businesses focus on increasing efficiency and reducing costs. Additionally, there is a rising trend of integrating AI and robotics to create more intelligent and autonomous systems. This has significant implications for industry stakeholders, as it presents opportunities for increased productivity and improved performance. However, it also raises concerns about potential job displacement and the need for upskilling the workforce.

Local special circumstances: In Germany, the AI Industrial Robotics Market is thriving due to the country's strong manufacturing industry and its focus on automation. The German government has also implemented policies and initiatives to promote the adoption of AI and robotics technology in various industries. In France, the market is driven by the country's advanced automotive and aerospace sectors, which have a high demand for precision and efficiency. These factors, combined with France's skilled workforce and supportive government policies, have created a favorable environment for the growth of the AI Industrial Robotics Market.

Underlying macroeconomic factors: The AI Industrial Robotics Market within the Artificial Intelligence Market is heavily influenced by macroeconomic factors such as technological advancements, government support, and investment in automation infrastructure. Countries with favorable regulatory environments and strong investment in AI and automation technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding for automation. Furthermore, the increasing demand for efficient and cost-effective manufacturing processes, coupled with the rising labor costs, is driving the adoption of AI industrial robotics in the global market. Additionally, the growing need for precision, accuracy, and speed in manufacturing and supply chain operations is fueling the demand for AI-powered industrial robots.

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.