AI Industrial Robotics - Europe

  • Europe
  • The market size in the AI Industrial Robotics market is projected to reach US$2.58bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 24.59%, resulting in a market volume of US$9.65bn 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 Europe is witnessing substantial growth, fueled by factors such as the increasing implementation of artificial intelligence in industrial processes, growing awareness about the benefits of AI robotics, and the convenience of automated systems. This rapid growth is primarily driven by the advancements in AI technology and its potential to revolutionize the industrial sector.

Customer preferences:
As AI technology continues to advance, the AI Industrial Robotics Market within the Artificial Intelligence Market has seen a rise in demand for smart manufacturing solutions. This trend is fueled by the need for increased productivity and efficiency in the manufacturing sector. Additionally, there is a growing interest in collaborative robots that can work alongside humans, leading to a shift towards more human-machine partnerships in the workplace. This shift is also driven by the aging workforce in Europe, as companies look for ways to address labor shortages and increase production capacity.

Trends in the market:
In Europe, the AI Industrial Robotics Market within the Artificial Intelligence Market is experiencing a rise in the adoption of collaborative robots, or cobots, which are designed to work alongside humans. This trend is driven by the need for increased efficiency and flexibility in manufacturing processes. Additionally, there is a growing focus on the development of AI-powered smart factories, which utilize robotics and automation to optimize production. These advancements have significant implications for industry stakeholders, including increased productivity, cost savings, and improved safety for workers. However, there are also concerns about potential job displacement and the need for reskilling and upskilling of the workforce.

Local special circumstances:
In Europe, the AI Industrial Robotics Market within the Artificial Intelligence Market is heavily influenced by the region's strict regulations on data privacy and security. This has led to the development of AI solutions that prioritize data protection, such as federated learning and on-device processing. Additionally, European countries have a strong focus on sustainability, leading to the implementation of AI-driven solutions that promote energy efficiency and reduce carbon emissions in industrial settings.

Underlying macroeconomic factors:
The growth of the AI Industrial Robotics market is also influenced by macroeconomic factors such as technological advancements, government support, and investments in industrial 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 industrial funding. Additionally, the rapidly evolving manufacturing landscape and the need for increased efficiency and productivity are driving the demand for AI industrial robotics solutions worldwide.

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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