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 Romania is experiencing significant growth, fueled by factors such as increasing adoption of digital technologies, growing health consciousness among consumers, and the convenience of online health services. The elevated growth rate can be attributed to the emergence of sub-markets such as AI Service Robotics and AI Industrial Robotics, which are driving overall market expansion.
Customer preferences: As AI technology continues to advance, consumer preferences in Romania are shifting towards more personalized and efficient services in the robotics market. This is driven by the growing demand for smart home devices and virtual assistants, as well as the need for automated solutions in industries such as healthcare, manufacturing, and logistics. Additionally, the rise in digitalization and the integration of AI in everyday life are influencing consumer behavior and leading to an increased adoption of AI-powered products and services.
Trends in the market: In Romania, the AI Robotics Market within the Artificial Intelligence Market is experiencing a surge in demand for intelligent automation solutions, driven by the need for increased efficiency and cost-effectiveness across industries. This trend is expected to continue as more businesses adopt AI and robotics technologies to streamline processes and improve productivity. Additionally, the integration of AI and robotics in healthcare is gaining momentum, with the potential to enhance patient care and reduce healthcare costs. This presents opportunities for stakeholders in the industry to capitalize on the growing market for AI robotics in Romania.
Local special circumstances: In Romania, the AI Robotics Market within the Artificial Intelligence Market is rapidly growing due to the country's highly skilled workforce and government support for digital transformation. The lack of traditional manufacturing industries has allowed for a greater focus on technology and innovation, leading to a favorable environment for the development and adoption of AI robotics. Additionally, the country's strategic location and strong ties with EU countries make it an attractive market for international investments and partnerships. However, Romania's relatively small market size and limited funding for research and development may pose challenges for long-term growth.
Underlying macroeconomic factors: The AI Robotics Market within the Artificial Intelligence Market in Romania is heavily influenced by macroeconomic factors such as technological advancements, government support, and investments in AI research and development. Countries with advanced technological infrastructure, favorable regulatory environments, and strong investments in AI are experiencing faster market growth compared to regions with limited resources and regulatory barriers. The increasing demand for automation and efficiency, coupled with the rising adoption of AI in various industries, are also driving the growth of the market. Furthermore, Romania's strong economic growth and stability have created a conducive environment for businesses to invest in AI and robotics, further propelling the market's growth.
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