United States Automotive Robotics Industry Report 2024-2032: Efforts to Reinforce Domestic Supply Chains Fuel Robotic Installations


Dublin, July 02, 2024 (GLOBE NEWSWIRE) -- The "United States Automotive Robotics Market Report By Component, Types, By Application, Company Analysis 2024-2032" report has been added to ResearchAndMarkets.com's offering.

United States Automotive Robotics Market is expected to reach US$ 2.99 billion in 2023 to US$ 7.4 billion in 2032, with a CAGR of 10.59% from 2024 to 2032.

Players in the automotive industry strive to implement smart product design and also more adjustable distribution networks in order to cope with changes within the automotive segment.



Robotics technology has welcomed manufacturing departments of automobiles in the United States for over a decade. Robotic technologies in the US automotive sector exceed human features, which enables work execution at a higher speed. This increases flexibility in operations and decreases on raw materials and working process or sequence, hence brings down the costs and improves the viability of the producer.

The United States stands as a global leader in production industries, with a remarkable surge in demand for commercial robots. In 2023, the automotive sector alone experienced a 1% increase in revenue, installing 14,678 robots. This growth follows a remarkable 47% surge in installations in 2022, with 14,472 devices set up. Automotive and component manufacturers contributed 33% of all commercial robotic installations in the U.S. in 2023. According to the International Federation of Robotics (IFR), America ranks as the second-largest producer of vehicles and light vehicles worldwide, following China. This upward trend fuels the need for robots in this sector due to efforts to reinforce domestic supply chains and initiatives promoting the shift to clean energy.

The US has experienced a considerable increase in demand for cars, which is due to the increase in the nation's household income and also strong employment opportunities in the market. This yielded significant monetary expansion and increase consumer confidence regarding large purchases such as cars. Also, with money cheap and available in many options: purchase price incentives for cars have made cars even more attractive to customers.

Current trends on American automobile market where technologies and fuel efficiency are in the spotlight has produced a dramatic shift in buyer interest especially as the stock of electric and hybrid automobiles expand with an emphasis on environmental responsibility among car buyers. Moreover, the manufacturers and dealerships have increased sales and boundless improvements in the affairs through the development of digital features, virtual showrooms, and home delivery services across the United States of America.

Industry 4.1 The financial revolution This domain relates to goal 0 as it deals with automation, real-time data, integration and machine learning. The aggressive potentate leverages intelligent technology to optimize manufacturing and supply chain. Contending that and, indeed, that critical elements - including robotics, artificial intelligence, data analytics and cloud computing - are indeed fundamental to Industry 4. 0, improving the stability and prospects of industrial robots. Ideally, there is no time to cease or reduce operations because this increases chances of success in the identified market, the market in automotive robotics in the U. S.

Established and emergent technologies like innovative LiDAR, vision systems, and radar in robotics systems enable the robotic systems to maneuver through complex spaces and cooperatively engage with people and tools in the automobile industry. By using AI algorithms decision making happens with high intimacy, movement and operations optimization. Digital twin technology creates an exact imitation of assets which can help in predicting maintenance and quality necessities. Self-organizing robots minimize the amount of material transported through the factory and improve the time taken for each process.

Overall, these technologies enable robots to learn and avoid obstacles, modify their behaviors in response to different contexts, and improve path planning, which opens up new markets and addresses the need for application of automation to increase productivity, contain expenses, and enhance quality. The application of robotics systems in the automobile corporations in the U. S. helps them coordinate the mechanical processes imperative for diverse sequences of making automobiles such as assembly, welding, painting, and material transport, thereby fostering the use of automotive robotics.

Key Attributes:

Report AttributeDetails
No. of Pages120
Forecast Period2023 - 2032
Estimated Market Value (USD) in 2023$2.99 Billion
Forecasted Market Value (USD) by 2032$7.4 Billion
Compound Annual Growth Rate10.5%
Regions CoveredUnited States


Key Players Analysis: Recent Developments & Strategies, Product Portfolio & Product Launch in Last 1 Year, Revenue

  • ABB
  • FANUC CORPORATION
  • Yaskawa Electric Corporation
  • Omron Adept Robotics
  • Kawasaki Robotics
  • Harmonic Drive System
  • Nachi-Fujikoshi Corp.
  • KUKA Robotics

By Component - United States Automotive Robotics Market breakup in 6 viewpoints

  • Sensors
  • Controller
  • End Effector
  • Robotic Arm
  • Drive
  • Others

By Types- United States Automotive Robotics Market breakup in 5 viewpoints

  • Articulated
  • Cartesian
  • Scara
  • Cylindrical
  • Others

By Application- United States Automotive Robotics Market breakup in 5 viewpoints

  • Welding
  • Material Handling
  • Painting
  • Cutting
  • Others

For more information about this report visit https://www.researchandmarkets.com/r/abziv8

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

Attachment

 
U.S. Automotive Robotics Market

Contact Data