AI Industrial Robotics - United States

  • United States
  • The market size in the AI Industrial Robotics market is projected to reach US$2.94bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 23.85%, resulting in a market volume of US$10.61bn by 2030.
  • In global comparison, the largest market size will be in the United States (US$2,940.00m in 2024).
 
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Analyst Opinion

The AI Industrial Robotics Market in the United States is experiencing considerable growth, driven by factors such as increasing demand for AI technology, growing awareness of its benefits in the industrial sector, and the convenience of using advanced robotics for manufacturing and production. This significant growth rate is influenced by advancements in artificial intelligence and the increasing use of automation in industries.

Customer preferences:
There is a growing demand for AI-powered industrial robotics in the United States, as companies look to streamline their manufacturing processes and increase efficiency. This trend is particularly evident in the automotive and electronics industries, as they seek to incorporate advanced technologies like machine learning and computer vision into their production lines. Additionally, there is a shift towards collaborative robots, or cobots, that can work alongside humans to enhance productivity and safety. This is driven by the desire for more flexible and adaptable manufacturing solutions in response to changing consumer demands and market dynamics.

Trends in the market:
In the United States, the AI Industrial Robotics market is experiencing a surge in the adoption of collaborative robots (cobots) in manufacturing and logistics industries. These cobots, which work alongside humans, are expected to increase efficiency and productivity while reducing workplace injuries. In addition, there is a growing trend of using AI-powered predictive maintenance solutions for industrial robots, allowing for timely maintenance and minimizing downtime. These advancements are likely to have a significant impact on the market, with potential implications for manufacturers, suppliers, and end-users.

Local special circumstances:
In the United States, the AI Industrial Robotics Market is thriving due to the country's advanced manufacturing infrastructure and its adoption of advanced technologies in industries such as automotive and electronics. Additionally, the government's emphasis on promoting the use of automation and robotics in manufacturing processes has further fueled the growth of the market. The presence of major players in the AI Robotics Market, such as Google, Amazon, and Microsoft, also contributes to the market's success in the US.

Underlying macroeconomic factors:
The growth of the AI Industrial Robotics market in the United States is heavily influenced by macroeconomic factors such as technological advancements, government support, and investment in industrial infrastructure. The country's strong economy and advanced manufacturing sector make it a prime market for AI industrial robotics, with companies investing in automation to increase efficiency and productivity. Additionally, the United States' favorable regulatory environment and significant investments in research and development further drive market growth. However, the market is also impacted by global economic trends, such as trade policies and tariffs, which can affect the cost of materials and impact market performance.

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