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 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 Robotics market in Greece is experiencing significant growth, driven by factors such as increasing adoption of AI technologies, rising awareness of its potential in healthcare, and the convenience of online services. The market's substantial growth rate is influenced by the demand for AI Service and Industrial Robotics, as well as investments in research and development.
Customer preferences: As AI continues to advance in Greece, the robotics market is seeing an increased demand for autonomous and intelligent machines, particularly in industries such as manufacturing, healthcare, and agriculture. This trend is driven by a growing preference for efficiency and precision, as well as a need for reducing human labor in hazardous conditions. Additionally, the rise of smart homes and connected devices has led to an increased adoption of AI-powered home assistants, catering to the evolving lifestyle and convenience needs of consumers.
Trends in the market: In Greece, the AI Robotics Market within the Artificial Intelligence Market is experiencing a surge in demand for advanced robotics solutions, particularly in the manufacturing sector. This trend is driven by the need for increased efficiency and productivity, as well as the adoption of Industry 4.0 technologies. As a result, companies are investing in robotic automation to streamline processes and reduce costs. Furthermore, there is a growing interest in AI-powered robotics for healthcare and logistics applications. With the continued advancement of AI and robotics technology, we can expect to see a continued rise in the adoption of these solutions across various industries in Greece. This will have significant implications for industry stakeholders, as they will need to adapt to this new era of automation and AI integration to remain competitive in the market.
Local special circumstances: In Greece, the AI Robotics market is experiencing significant growth due to the country's focus on developing advanced technology and its skilled workforce in the fields of science and engineering. Additionally, the government has been promoting the use of AI in various sectors, such as healthcare and manufacturing, to improve efficiency and productivity. Furthermore, Greece's strategic location in Europe and membership in the European Union provide access to a large market and favorable regulations for AI companies. These factors contribute to a conducive environment for the growth of the AI Robotics market in Greece.
Underlying macroeconomic factors: The AI Robotics Market within the Artificial Intelligence Market in Greece is also affected by macroeconomic factors such as advancements in technology, government policies, and investment in infrastructure. Countries with favorable regulations and high investments in AI technology are experiencing faster market growth. Additionally, the increasing adoption of AI in various industries, such as manufacturing, healthcare, and retail, is driving the demand for AI robotics in Greece. The country's economic stability and strong investment in research and development also play a significant role in the growth of the AI Robotics Market in Greece.
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