Definition :
Artificial intelligence service robotics is a branch of robotics that focuses on developing robots with artificial intelligence (AI) capabilities to serve and assist humans. These robots are designed to interact and communicate with users, understand their needs, and perform tasks or provide information autonomously. By combining AI algorithms, natural language processing, computer vision, and other AI techniques, AI service robots can carry out tasks in the areas of customer support, personal assistance, healthcare monitoring, and home automation, which lead to improved convenience, efficiency, and quality of life for individuals.
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 Service Robotics companies and market revenue data from the Statista robotics market. Key players of the market include companies such as SoftBank Robotics, iRobot, and Boston Dynamics.
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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 service robotics market in Australia & Oceania is experiencing significant growth, driven by factors such as increasing adoption of AI technologies, rising demand for automated services, and the convenience offered by AI-powered robots. This growth is further fueled by the region's rapidly developing AI market, with a projected growth rate of 31% by 2026.
Customer preferences: In Australia & Oceania, the AI service robotics market is witnessing a rise in demand for robots with advanced capabilities, such as natural language processing and emotional recognition. This is attributed to the region's aging population and the need for personalized and efficient care for the elderly. Additionally, there is a growing focus on developing culturally-sensitive AI robots that can cater to the diverse needs and preferences of different communities in the region.
Trends in the market: In Australia & Oceania, the AI Service Robotics Market is seeing a surge in demand for robots in various industries, including healthcare, agriculture, and manufacturing. This is driven by the need for efficiency, cost reduction, and safety in operations. Additionally, there is a growing trend of using AI-powered robots for elderly care in the region. This trend is expected to continue as the aging population increases. These developments present opportunities for industry stakeholders to develop innovative solutions and partnerships to cater to these emerging needs.
Local special circumstances: In Australia and Oceania, the AI Service Robotics Market is driven by the region's advanced technological infrastructure and high demand for automation in industries such as manufacturing and logistics. Additionally, the region's aging population and shortage of skilled labor have led to a growing interest in service robots for eldercare and healthcare. However, strict regulations regarding the use of robots in certain industries, such as healthcare, may hinder the growth of the market.
Underlying macroeconomic factors: The growth of the AI Service Robotics Market is influenced by macroeconomic factors such as technological advancements, regulatory support, and investment in robotics infrastructure. Countries with favorable regulatory environments and strong investment in robotics technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Additionally, the increasing adoption of AI in various industries and the growing demand for automation and efficiency are driving the demand for AI service robotics solutions. This trend is further fueled by the increasing need for cost-effective and reliable solutions in the wake of the global economic downturn.
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