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: Jul 2024
Source: Statista Market Insights
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Jul 2024
Source: Statista Market Insights
The AI Industrial Robotics market in APAC is experiencing significant growth, driven by factors such as increasing adoption of AI technology, growing demand for automation in industries, and the convenience of using AI in robotics. This growth is influenced by the region's high growth rate in the Artificial Intelligence market, making AI Industrial Robotics a key player in the market with a promising future.
Customer preferences: As AI technology continues to advance in the industrial robotics sector, there is a growing demand for AI-powered robots that can perform complex tasks with greater precision and efficiency. This trend is driven by increasing consumer expectations for faster and more accurate production processes, as well as the need for automation in industries such as manufacturing and logistics. Additionally, the rising adoption of advanced AI solutions is also influenced by the cultural emphasis on efficiency and productivity in many APAC countries.
Trends in the market: In the APAC region, the AI Industrial Robotics Market is experiencing a surge in demand due to the increasing adoption of automation in various industries, such as manufacturing, automotive, and healthcare. Moreover, the integration of AI technology in industrial robots is allowing for more advanced and precise operations, leading to improved productivity and cost savings. Additionally, there is a growing trend of using collaborative robots (cobots) in the region, as they offer flexibility and safety for human-robot interaction. This trend is expected to continue, as companies seek ways to increase efficiency and reduce human labor in production processes. Overall, the trajectory of these trends is likely to drive significant growth in the AI Industrial Robotics Market, creating opportunities for industry stakeholders to tap into this emerging market.
Local special circumstances: In the APAC region, the AI Industrial Robotics Market is experiencing rapid growth due to the increasing demand for automation in manufacturing and logistics industries. In China, the market is driven by the government's push for advanced manufacturing and the presence of a large pool of skilled labor. In Japan, the market is influenced by the aging population and the need for efficiency in industries such as automotive and electronics. In Australia, the market is seeing growth due to the high adoption of AI technologies and the presence of a developed manufacturing sector.
Underlying macroeconomic factors: The growth of the AI Industrial Robotics market is also influenced by macroeconomic factors such as technological advancements, government support, 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 industrial funding. Additionally, the increasing demand for automation in various industries and the need for efficient and cost-effective production processes are driving the adoption of AI industrial robotics in the global market.
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Jul 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