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 GCC nan is experiencing substantial growth, driven by the increasing adoption of AI technologies, rising demand for automation in industrial processes, and the convenience of AI-driven robotics. Factors such as government initiatives and investments in AI and technological advancements are also contributing to the market's growth rate.
Customer preferences: With the rise of automation and advanced robotics, there is a growing demand for human-machine collaboration in the industrial sector. This has led to a shift in consumer preferences towards AI-enabled industrial robotics that can perform complex tasks with precision and efficiency. Additionally, as AI technology becomes more advanced and accessible, there is a growing trend towards customization and personalization of industrial robots to meet specific industry needs and challenges. This trend is driven by the increasing adoption of AI and its potential to optimize production processes and boost overall efficiency in industries such as manufacturing, logistics, and healthcare.
Trends in the market: In the AI Industrial Robotics Market of the AI Robotics Market within the Artificial Intelligence Market, there is a trend towards increased collaboration between AI and human workers. This is leading to the development of more advanced and efficient robots, capable of working alongside humans and adapting to changing situations. Additionally, there is a growing focus on the use of AI in predictive maintenance and quality control, allowing for reduced downtime and improved product quality. These trends are significant for industry stakeholders as they can lead to increased productivity, cost savings, and improved overall performance. However, there may also be potential implications for the workforce, as the integration of AI may lead to job displacement and a need for retraining.
Local special circumstances: In GCC, the AI Industrial Robotics Market is experiencing significant growth due to the region's increasing focus on automation and smart manufacturing. With a strong oil and gas industry, there is a high demand for advanced robotics solutions to optimize production processes and reduce labor costs. Additionally, the region's strict labor laws and efforts to diversify its economy have also led to a growing interest in AI industrial robotics, particularly in the manufacturing and logistics sectors.
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 industries such as manufacturing and logistics is driving the adoption of AI robotics solutions to improve efficiency and productivity.
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