AI Service Robotics - NAFTA

  • NAFTA
  • The market size in the AI Service Robotics market is projected to reach US$2.97bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 24.10%, resulting in a market volume of US$10.85bn 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 NAFTA nan is experiencing considerable growth, fueled by the adoption of artificial intelligence technology, increasing demand for AI robotics, and the convenience of online services. This growth is driven by factors such as the demand for automation and efficiency in various industries, including healthcare, manufacturing, and retail. With the rapid advancement of AI technology, this market is expected to continue its growth trajectory in the coming years.

Customer preferences:
With the rise of AI technology, the AI service robotics market has seen a growing demand for advanced and interactive robots that can cater to various needs and tasks. This trend is driven by the increasing adoption of smart home systems and the desire for personalized and efficient household management. Additionally, the integration of AI in service robots has enabled them to understand and adapt to cultural nuances and preferences, making them more appealing to diverse consumer segments. This shift towards AI-powered service robots reflects a growing preference for seamless and intelligent automation in daily life.

Trends in the market:
In the AI Service Robotics Market of the AI Robotics Market within the Artificial Intelligence Market, there is a growing trend towards the use of AI-powered robots in industries such as healthcare, manufacturing, and retail. These robots are equipped with advanced sensors and algorithms that enable them to perform complex tasks, increasing efficiency and productivity. Additionally, there is a rise in demand for collaborative robots that can work alongside humans, providing safety and convenience in the workplace. This trend is expected to continue in the coming years, providing significant opportunities for industry stakeholders.

Local special circumstances:
In Mexico, the AI Service Robotics Market is experiencing growth due to the country's growing manufacturing sector and the increasing adoption of automation technologies. Additionally, Mexico's close proximity to the United States has made it a key player in the North American supply chain, further driving the demand for AI service robots. The country's favorable business environment and government support for technological innovation are also contributing factors to the market's growth.

Underlying macroeconomic factors:
The growth of the AI Service Robotics market is also influenced by macroeconomic factors such as technological advancements, government support, and investment in AI infrastructure. Countries with favorable regulatory environments and strong investment in AI technologies are experiencing faster market growth compared to regions with regulatory challenges and limited AI funding. Additionally, the increasing adoption of AI in various industries and the growing demand for automation in the workforce are driving the demand for AI service robotics, especially in developed economies.

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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