Definition:
Artificial intelligence robotics refers to the field that combines artificial intelligence (AI) and robotics and aims to develop intelligent machines capable of performing tasks autonomously. These robots are equipped with AI algorithms and techniques that enable them to perceive, learn, reason, and make decisions in real time. By integrating AI into robotics, these intelligent machines can adapt to dynamic environments, interact with humans, and carry out complex tasks. These developments pave the way to a wide range of applications in areas such as manufacturing, healthcare, exploration, and assistance, with the goal of enhancing efficiency, productivity, and human-machine collaboration.Structure:
The Artificial Intelligence (AI) Robotics market consists of two components. One of them is AI Service Robotics, which includes the development, manufacturing, and deployment of robotic systems designed for consumer-facing applications. The other one is AI Industrial Robotics, which encompasses the development, manufacturing, and deployment of autonomous machines and robotic systems for use in industrial settings, such as manufacturing plants, warehouses, and logistics operations.
Additional Information:
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 (AI) Robotics companies. Key players of the market include companies such as Boston Dynamics, ABB, and Fanuc.
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Notes: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.
Most recent update: Mar 2024
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2025
Source: Statista Market Insights
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2025
Source: Statista Market Insights
The AI Robotics market in Russia is experiencing rapid growth, driven by factors such as increasing adoption of AI technologies, rising awareness of AI in healthcare, and the convenience of online AI services. This growth is fueled by both the AI Service and Industrial Robotics sub-markets, with a substantial growth rate impacted by advancements in technology and government initiatives promoting the use of AI in various industries.
Customer preferences: As the use of AI and robotics continues to expand in various industries, consumer preferences are shifting towards more personalized and efficient solutions. This has led to a rise in demand for AI-powered virtual assistants, smart home devices, and automated customer service systems. Additionally, with the growing concern for environmental sustainability, there is a growing trend towards the use of AI and robotics in agriculture and energy sectors to optimize resource usage and reduce waste. This indicates a growing acceptance and adoption of AI and robotics in daily life.
Trends in the market: In Russia, there is a growing trend of integrating AI technology into the country's manufacturing sector, particularly in the automotive and aerospace industries. This is driven by the government's push for modernization and efficiency, as well as the increasing demand for automation and cost reduction. Additionally, there is a rise in the use of AI-powered robots in industries such as retail, healthcare, and agriculture. This trend is expected to continue, with significant investments being made in AI robotics research and development. This has significant implications for industry stakeholders, as it presents opportunities for increased productivity, cost savings, and improved customer experience. However, it also raises concerns about job displacement and the need for upskilling and reskilling of the workforce.
Local special circumstances: In Russia, the AI Robotics market is facing challenges due to strict regulations on data privacy and security. This has led to slower adoption of AI technologies in industries such as healthcare and finance. The cultural emphasis on traditional labor practices also affects the demand for AI robotics solutions. However, the government's initiatives to promote AI development and the country's strong research capabilities offer potential for growth in the market.
Underlying macroeconomic factors: The AI Robotics Market within the Artificial Intelligence Market in Russia is heavily influenced by macroeconomic factors such as government investments in research and development, favorable policies for AI adoption, and a growing demand for automation in various industries. The country's strong economic growth, stable political environment, and increasing investments in advanced technologies are also contributing to market growth. In addition, the rising demand for AI-powered solutions in sectors such as manufacturing, healthcare, and finance is further driving the market in Russia. However, challenges such as data privacy concerns and a shortage of skilled AI professionals could hinder market growth in the country.
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2025
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: Jan 2025
Source: Statista Market Insights
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