AI Industrial Robotics - EMEA | Statista Market Forecast

The market size in the AI Industrial Robotics market is projected to reach US$3.12bn in 2024.
The market size is expected to show an annual growth rate (CAGR 2024-2030) of 24.67%, resulting in a market volume of US$11.70bn 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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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.

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.

The AI Industrial Robotics Market in EMEA nan is experiencing substantial growth, driven by factors such as increasing adoption of AI technology, growing demand for automation, and advancements in robotics. This growth is expected to continue as companies recognize the benefits of AI robotics in improving efficiency and productivity.

Customer preferences: The EMEA region has seen a rise in the adoption of AI industrial robotics, driven by the need for increased efficiency and productivity in manufacturing processes. Moreover, the use of AI-powered robots allows for more precise and accurate production, reducing human errors and ensuring higher quality outputs. Additionally, with a growing focus on sustainability and reducing carbon footprint, the integration of AI into industrial robotics can help optimize energy usage and minimize waste.

Trends in the market: In EMEA, the AI Industrial Robotics Market is experiencing a surge in demand due to the increasing adoption of automation in various industries. With the rise in labor costs and the need for efficiency and productivity, more companies are turning to AI-based robotics solutions. Additionally, advancements in AI technology are enabling robots to perform more complex tasks, further driving the market growth. This trend is significant as it has the potential to transform traditional manufacturing processes and improve overall production capabilities. Furthermore, it has implications for stakeholders such as manufacturers, as they must invest in AI robotics to remain competitive in the market.

Local special circumstances: In EMEA, the AI Industrial Robotics Market of the AI Robotics Market within the Artificial Intelligence Market is primarily driven by the increasing adoption of automation in manufacturing and logistics sectors. However, the market is also influenced by unique local factors such as strict regulations on data privacy and security, cultural preferences for human labor, and varying levels of technological infrastructure across different countries. These factors impact the pace of market growth and the types of applications and solutions that are in demand in different regions. For instance, in Germany, the market is driven by the need for precision and quality control in production processes, while in the Middle East, the focus is on increasing efficiency and reducing labor costs. Such diverse market influences create a complex and dynamic landscape for AI industrial robotics in the EMEA region.

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 regulatory environments and strong investment in AI technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding for industrial development. Additionally, the increasing demand for efficient and cost-effective manufacturing solutions is driving the adoption of AI industrial robotics in various industries, contributing to the overall growth of the market.

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.

This report presents a comprehensive analysis and additional information on the Technology market, in a PDF format.

Artificial intelligence evokes images of supercomputer assistants, machines that can think creatively, and, to some, scenes from their favorite sci-fi movie. The reality, despite not being as futuristic, is not far off from this. AI refers to the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to language, decisions, and problems. The market for AI technologies is vast, amounting to around 200 billion U.S. dollars in 2023 and is expected to grow well beyond that to over 1.8 trillion U.S. dollars by 2030.

Artificial intelligence (AI), the technology that allows digital computers or computer-controlled robots to perform tasks more commonly associated with intelligent beings, has been leaping into the limelight following the release of a wide variety of Generative AI models in 2023. The United States, being the largest economy in the world, has a natural advantage. Although human-like androids such as those portrayed in the science fiction movie Blade Runner are still far from reality, applications of AI such as smartphone virtual assistants and industrial robots are already widespread in U.S. society. The industry’s powerful ability to improve efficiency and increase productivity has made it of strategic importance to U.S. industries and government, both of which push the U.S. lead in the AI race.

AI Industrial Robotics - EMEA

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