市场调查报告书
商品编码
1609486
市场占有率与预测:自主移动机器人,2023~2028年,美国(双报告绑定套装)Market Share and Forecast: Autonomous Mobile Robots, 2023-2028, Usa (Bundle of Two Reports) |
根据 Quadrant Knowledge Solutions 的一份报告,预计到 2028 年,美国自主移动机器人 (AMR) 市场的复合年增长率将低于平均水平。
儘管美国在技术和自动化领域处于领先地位,但到 2028 年,自主移动机器人 (AMR) 市场的成长预计将低于平均值。多种因素促使采用率缓慢,包括高昂的初始成本以及与现有系统的复杂整合流程。此外,虽然 AMR 在提高营运效率和节省成本方面具有巨大潜力,但许多美国行业由于担心工作转移和大量再培训的需要而对转型持谨慎态度。因此,与各行业迅速采用的其他先进技术相比,AMR 的采用速度预计将落后。
根据 Quadrant Knowledge Solutions 的预测,到 2028 年,美国自主移动机器人市场的复合年增长率预计将低于平均值。
美国自主移动机器人市场的未来前景广阔,儘管成长轨迹温和。人工智慧和机器学习的创新预计将提高 AMR 的能力和效率,使其对重视准确性和可靠性的行业更具吸引力。此外,政府加强製造和物流部门的努力可能会激励 AMR 的采用。随着越来越多的公司意识到自动化的长期好处(例如降低营运成本和提高生产力),AMR 的采用预计将稳定成长。然而,克服最初的财务和技术障碍对于促进该领域的显着成长至关重要。
This product includes two reports: Market Share and Market Forecast.
Quadrant Knowledge Solutions Reveals that Autonomous Mobile Robots (AMR) Market is Projected to Register a CAGR of below average by 2028 in USA.
The United States, despite being a leader in technology and automation, is projected to witness below-average growth in the Autonomous Mobile Robots (AMR) market by 2028. Various factors contribute to this slower adoption rate, including high initial costs and complex integration processes with existing systems. Additionally, while AMRs offer significant potential for operational efficiency and cost reduction, many industries in the U.S. are cautious about transitioning due to concerns over job displacement and the need for substantial workforce retraining. As a result, the pace of AMR implementation is expected to lag compared to other advanced technologies being rapidly adopted across various sectors.
Quadrant Knowledge Solutions defines Autonomous Mobile Robots (AMR) as "intelligent robots that are equipped with numerous sensors, actuators, and software applications to help them interpret their environment, make decisions based on that information, and take action accordingly without human interference. AMRs work collaboratively with operators to perform a variety of tasks, such as picking and transporting goods, monitoring and inspecting facilities, and providing assistance, all without human supervision. With technology advancements, AMRs are becoming increasingly sophisticated and can perform more complex tasks and possess decision-making capability". Overall, AMRs rely on a combination of hardware and software technologies to operate autonomously and perform various tasks in different environments.
Quadrant Knowledge Solutions Reveals that Autonomous Mobile Robots (AMR) Market is Projected to Register a CAGR of below average by 2028 in the USA.
Looking ahead, the future of the AMR market in the United States holds promise, albeit with a gradual growth trajectory. Innovations in AI and machine learning are expected to enhance the capabilities and efficiency of AMRs, making them more appealing to industries focused on precision and reliability. Additionally, government initiatives aimed at bolstering manufacturing and logistics sectors could provide incentives for AMR adoption. As companies increasingly recognize the long-term benefits of automation, such as reduced operational costs and improved productivity, the market is likely to experience a steady rise in AMR deployments. However, overcoming the initial financial and technical barriers will be crucial for driving significant growth in this sector.
Quadrant Knowledge Solutions defines Autonomous Mobile Robots (AMR) as "intelligent robots that are equipped with numerous sensors, actuators, and software applications to help them interpret their environment, make decisions based on that information, and take action accordingly without human interference. AMRs work collaboratively with operators to perform a variety of tasks, such as picking and transporting goods, monitoring and inspecting facilities, and providing assistance, all without human supervision. With technology advancements, AMRs are becoming increasingly sophisticated and can perform more complex tasks and possess decision-making capability". Overall, AMRs rely on a combination of hardware and software technologies to operate autonomously and perform various tasks in different environments.