AI Service Robotics - Worldwide

The field of artificial intelligence service robotics has been shaped by several trends. The first one is the integration of advanced natural language processing and computer vision capabilities to enhance human-robot interactions and enable more intuitive communication. The second one is the development of socially intelligent robots that can perceive perceive human emotions, respond to them, and make adjustments based on user needs. The third one is the growing emphasis on the deployment of AI service robots to assist with a variety of tasks in healthcare settings.

The artificial intelligence (AI) service robotics market is expected to experience significant growth in the coming years, driven by several factors. One major factor is the increasing demand for service robots in the healthcare industry to assist with tasks such as patient monitoring, medication delivery, and physical therapy. Another is the rising adoption of service robots in the hospitality industry for tasks such as cleaning, customer service, and room service. The third contributing factor is the increasing investments by companies in the development of advanced AI technologies for service robots.

The Artificial Intelligence (AI) Service Robotics market is expected to continue its growth trajectory in the coming years, with the market size projected to grow at a CAGR of 13.8% from 2023 to 2030.

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.