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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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
The AI Industrial Robotics market in G7 nan is experiencing considerable growth, driven by increasing adoption of AI technology, growing awareness of its benefits, and the convenience of automated processes. Factors such as improved efficiency, cost savings, and safety are fueling the growth rate in this market.
Customer preferences: The AI Industrial Robotics Market within the Artificial Intelligence Market is seeing a growing demand for autonomous and collaborative robots that can work alongside humans in industrial settings. This trend is driven by the need for increased efficiency, safety, and flexibility in manufacturing processes. Additionally, there is a rising preference for robots with advanced cognitive capabilities, such as natural language processing and machine learning, to improve decision-making and problem-solving in complex production environments.
Trends in the market: In the AI Industrial Robotics Market of the AI Robotics Market within the Artificial Intelligence Market, there is a growing trend towards the use of collaborative robots, or cobots, in manufacturing and industrial settings. These robots are designed to work alongside human workers, increasing efficiency and productivity. Additionally, there is a rising demand for AI-powered inspection and quality control systems in industries such as automotive and electronics, driving the growth of the market. These trends have significant implications for industry stakeholders, as they offer opportunities for cost reduction, improved safety, and increased flexibility in production processes. However, there may also be concerns about job displacement and the need for retraining workers to operate and maintain these advanced robotics systems.
Local special circumstances: In China, the AI Industrial Robotics Market is experiencing significant growth due to the country's strong focus on automation and technological advancements. The Chinese government has also implemented policies to support the development of robotics and AI, leading to a rise in investments and partnerships with domestic and international players. Additionally, the country's large manufacturing sector and increasing labor costs have further driven the adoption of AI industrial robots in various industries.
Underlying macroeconomic factors: In the AI Industrial Robotics Market of the AI Robotics Market within the Artificial Intelligence Market, macroeconomic factors such as technological advancements, government initiatives, and investment in research and development are shaping the market landscape. Countries with favorable regulatory environments and strong investment in AI technology are witnessing a surge in demand for industrial robotics, while those with regulatory challenges and limited funding are experiencing slower growth. Moreover, the rapid adoption of automation in various industries, coupled with the need for improved efficiency and productivity, is driving the demand for AI industrial robotics globally.
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
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.
Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights