AI Robotics - EU-27

  • EU-27
  • The market size in the AI Robotics market is projected to reach US$3.18bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 24.86%, resulting in a market volume of US$12.05bn by 2030.
  • In global comparison, the largest market size will be in the United States (US$5,638.00m in 2024).
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Market Size

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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

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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

Technology

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Analyst Opinion

The AI Robotics market in EU-27 is experiencing rapid growth, driven by factors such as increasing adoption of artificial intelligence, rising demand for AI-driven solutions in service and industrial sectors, and the convenience offered by these technologies. This substantial growth rate can be attributed to the advancements in AI technology, as well as the growing awareness and investment in the potential of AI in various industries.

Customer preferences:
The AI Robotics Market within the Artificial Intelligence Market in the EU-27 is experiencing a shift towards more personalized and human-like robots. With an increasing focus on human-robot interaction and collaboration, the market is seeing a rise in demand for social robots that can assist with tasks such as eldercare and education. Additionally, there is a growing demand for AI-powered robots in manufacturing, as companies look for ways to improve efficiency and reduce labor costs. This trend is driven by the aging population and the need for automation in various industries.

Trends in the market:
In the EU-27 and AI Robotics Market, there is a growing trend towards the integration of AI and robotics in various industries, such as manufacturing, healthcare, and transportation. This is driven by the need for increased efficiency, productivity, and cost savings. Additionally, there is a rising demand for autonomous and intelligent systems, especially in areas such as logistics and agriculture. This trend is expected to continue as advancements in AI technology and robotics enable more complex and diverse applications. This presents opportunities for industry stakeholders to capitalize on, but also raises concerns about potential job displacement and ethical implications.

Local special circumstances:
In Germany, the AI Robotics market is thriving due to the country's strong focus on innovation and advanced technology. The government's investment in research and development, as well as its support for startups in the field of AI, has created a favorable environment for the growth of the market. Additionally, Germany's strict data privacy laws and regulations have instilled trust among consumers, making them more receptive to AI-based products and services. This has led to a high adoption rate of AI Robotics in various industries, such as manufacturing and healthcare.

Underlying macroeconomic factors:
Macroecenomic factors play a crucial role in shaping the growth of the AI Robotics market in the EU-27. The market is heavily influenced by global economic trends, such as the increasing adoption of automation and robotics in various industries. Additionally, the economic health of each country in the EU-27 can impact market performance, as countries with stronger economies may have higher demand for AI robotics solutions. Fiscal policies, such as government initiatives to support innovation and investment in research and development, also play a significant role in driving the growth of the AI Robotics market in the region. Furthermore, other financial indicators, such as access to capital and funding opportunities, can also impact the growth of the market. Overall, favorable macroeconomic conditions in the EU-27 can lead to a thriving AI Robotics market, while economic challenges may hinder market growth.

Global Comparison

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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

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.

Key Market Indicators

The following Key Market Indicators give an overview of the social and economic outlook of the selected region and provide additional insights into relevant market-specific developments. These indicators, together with data from statistical offices, trade associations and companies serve as the foundation for the Statista market models.

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