市場調查報告書
商品編碼
1609486
市場佔有率與預測:自主移動機器人,2023~2028年,美國(雙報告綁定套裝)Market Share and Forecast: Autonomous Mobile Robots, 2023-2028, Usa (Bundle of Two Reports) |
根據 Quadrant Knowledge Solutions 的一份報告,預計到 2028 年,美國自主移動機器人 (AMR) 市場的複合年增長率將低於平均水平。
儘管美國在技術和自動化領域處於領先地位,但到 2028 年,自主移動機器人 (AMR) 市場的成長預計將低於平均值。多種因素促使採用率緩慢,包括高昂的初始成本以及與現有系統的複雜整合流程。此外,雖然 AMR 在提高營運效率和節省成本方面具有巨大潛力,但許多美國行業由於擔心工作轉移和大量再培訓的需要而對轉型持謹慎態度。因此,與各行業迅速採用的其他先進技術相比,AMR 的採用速度預計將落後。
根據 Quadrant Knowledge Solutions 的預測,到 2028 年,美國自主移動機器人市場的複合年增長率預計將低於平均值。
美國自主移動機器人市場的未來前景廣闊,儘管成長軌跡溫和。人工智慧和機器學習的創新預計將提高 AMR 的能力和效率,使其對重視準確性和可靠性的行業更具吸引力。此外,政府加強製造和物流部門的努力可能會激勵 AMR 的採用。隨著越來越多的公司意識到自動化的長期好處(例如降低營運成本和提高生產力),AMR 的採用預計將穩定成長。然而,克服最初的財務和技術障礙對於促進該領域的顯著成長至關重要。
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.