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 Australia is experiencing rapid growth, driven by factors such as increasing adoption of digital technologies, rising awareness of the potential of AI in healthcare, and the convenience of online health services. The market's significant growth rate is fueled by the demand for AI Service Robotics and AI Industrial Robotics, which are revolutionizing the healthcare and industrial sectors.
Customer preferences: With the rapid advancements in AI technology, consumers in Australia are increasingly turning towards AI-powered robotics for various tasks, such as household chores and personal assistance. This trend is driven by the desire for convenience and efficiency, especially among the busy urban population. Additionally, the growing aging population in Australia is also fueling the demand for AI-powered robotic solutions for elder care, highlighting the shift towards automation and digital assistance in healthcare.
Trends in the market: In Australia, the AI Robotics Market within the Artificial Intelligence Market is experiencing a rise in the adoption of AI-powered robots in industries like manufacturing, healthcare, and agriculture. This trend is driven by the need for increased efficiency and productivity, as well as the growing demand for automation in these sectors. Additionally, there is a growing focus on developing AI-powered robots with advanced capabilities, such as decision-making and autonomous navigation. These trends are expected to have significant implications for industry stakeholders, including increased competition, job displacement, and potential ethical concerns surrounding the use of AI in robotics.
Local special circumstances: In Australia, the AI Robotics Market is heavily influenced by the country's strong research and development capabilities, particularly in the fields of machine learning and computer vision. This has led to the development of advanced and innovative robotics solutions, particularly in the mining and agriculture industries. Additionally, the country's supportive regulatory environment and high adoption rate of new technologies have contributed to the growth of the AI Robotics Market. In contrast to other markets, Australia's geographic isolation has also played a role in driving the development of autonomous and remote-controlled robots for various industries.
Underlying macroeconomic factors: The AI Robotics Market within the Artificial Intelligence Market in Australia is influenced by macroeconomic factors such as government support, technological advancements, and investment in research and development. The country's strong economic health and stable fiscal policies provide a conducive environment for market growth. Additionally, the increasing adoption of automation and AI technologies in various industries, coupled with the rising demand for efficient and cost-effective solutions, is driving the growth of the AI Robotics Market in Australia. Furthermore, the country's skilled workforce and favorable business climate have attracted significant investments in the AI sector, further propelling market 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