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市場調査レポート
商品コード
1609486
市場シェアと予測:自律移動ロボット、2023~2028年、米国(2つのレポートのバンドル)Market Share and Forecast: Autonomous Mobile Robots, 2023-2028, USA (Bundle of Two Reports) |
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市場シェアと予測:自律移動ロボット、2023~2028年、米国(2つのレポートのバンドル) |
出版日: 2024年12月01日
発行: QKS Group
ページ情報: 英文 110 Pages
納期: 即日から翌営業日
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Quadrant Knowledge Solutionsの発表によると、米国の自律移動ロボット(AMR)市場は2028年までに平均以下のCAGRを記録すると予測されます。
米国はテクノロジーとオートメーションのリーダーであるにもかかわらず、2028年までに自律移動ロボット(AMR)市場の成長は平均を下回ると予測されています。初期コストの高さや既存システムとの複雑な統合プロセスなど、さまざまな要因がこの採用率の鈍化を招いています。さらに、AMRは業務効率化とコスト削減の大きな可能性を秘めているが、米国の多くの業界では、雇用の転換や大幅な人材再教育の必要性に対する懸念から、移行に慎重な姿勢を見せています。その結果、AMRの導入ペースは、さまざまな分野で急速に採用されている他の先端技術に比べて遅れると予想されます。
Quadrant Knowledge Solutionsの予測によると、米国の自律移動ロボット市場は2028年までに平均を下回るCAGRを記録すると予測されています。
今後、米国の自律移動ロボット市場の将来性は、緩やかな成長軌道ではあるもの、有望視されています。AIと機械学習における革新は、AMRの能力と効率を高め、精度と信頼性を重視する産業にとってより魅力的なものになると予想されます。さらに、製造・物流部門の強化を目指す政府の取り組みが、AMR導入のインセンティブとなる可能性もあります。運用コストの削減や生産性の向上など、自動化による長期的なメリットを認識する企業が増えるにつれ、AMRの導入は着実に増加するとみられます。しかし、この分野の大幅な成長を促進するには、初期の資金的・技術的障壁を克服することが重要です。
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.