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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 24.56%, resulting in a market volume of US$9.65bn by 2030.
  • In global comparison, the largest market size will be United States (US$2.94bn in 2024).

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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In-Scope

  • Collaborative robots (cobots) that collaborate with human workers, such as Universal Robots' UR5 and UR10
  • Automated guided vehicles (AGVs) that move materials and products through a manufacturing plant, such as KION Group's Linde Robotics
  • Robot arms that perform repetitive tasks on an assembly line, such as ABB's YuMi and Fanuc's LR Mate.

Out-Of-Scope

  • Drones used for surveying or inspecting industrial sites, such as DJI's Matrice series and Parrot's ANAFI USA
  • Self-driving cars or trucks used for transportation of goods or people, such as Tesla's Semi and Waymo's autonomous vans
  • Virtual assistants or chatbots used for customer service and/or sales support, such as IBM Watson Assistant and Google Dialogflow.
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Study Details

    Market Size

    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

    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.

    Global Comparison

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Mar 2024

    Source: Statista Market Insights

    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.

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    Key Market Indicators

    Notes: Based on data from IMF, World Bank, UN and Eurostat

    Most recent update: Sep 2024

    Source: Statista Market Insights

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