AI Service Robotics - GCC

  • GCC
  • The market size in the AI Service Robotics market is projected to reach US$76.85m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 24.80%, resulting in a market volume of US$290.30m by 2030.
  • In global comparison, the largest market size will be in the United States (US$2,698.00m in 2024).
 
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Analyst Opinion

The AI Service Robotics Market in GCC nan is experiencing substantial growth, driven by the increasing adoption of AI technologies, growing awareness of its benefits in the healthcare sector, and the convenience of online robotic services. This growth rate can be attributed to the advancements in artificial intelligence and its impact on improving healthcare services.

Customer preferences:
As the use of artificial intelligence in service robotics continues to expand, consumers are looking for more personalized and interactive experiences with these robots. This has led to a growing demand for AI-powered service robots that can recognize and respond to cultural nuances and individual preferences. Additionally, demographic shifts towards an aging population have also driven the need for AI service robots in healthcare and elder care industries. This trend is likely to continue as more consumers seek innovative and efficient solutions for their daily needs.

Trends in the market:
In the GCC and AI Service Robotics Market, there is a rising trend of incorporating AI and robotics into healthcare services, particularly in the field of surgical robotics. This is driven by the region's increasing focus on advanced healthcare technology and improving patient outcomes. Additionally, there is a growing demand for AI-powered service robots in industries such as hospitality and retail, as businesses seek to enhance customer experience and streamline operations. These developments have significant implications for industry stakeholders, as they strive to keep up with the rapid pace of technological advancements and capitalize on the opportunities presented by AI and robotics in the service sector.

Local special circumstances:
In GCC countries, the AI Service Robotics Market is fueled by the increasing demand for automation in industries such as manufacturing, healthcare, and logistics. The region's rapid adoption of advanced technologies, including AI and IoT, is also driving the market growth. Additionally, government initiatives promoting the use of AI in various sectors are expected to boost the market further. However, strict regulations and cultural barriers may hinder the market's growth, as these countries have strict laws surrounding data privacy and security.

Underlying macroeconomic factors:
The AI Service Robotics Market within the Artificial Intelligence Market is also impacted by macroeconomic factors such as technological advancements, government support, and investment in research and development. Countries with favorable regulatory environments and strong investment in AI technology are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Furthermore, the increasing demand for automation and the rising need for cost-effective solutions in various industries are driving the growth of the AI Service Robotics Market.

Methodology

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.

Overview

  • Market Size
  • Analyst Opinion
  • Global Comparison
  • Methodology
  • Key Market Indicators
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