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市場調査レポート
商品コード
1609487
市場シェアと予測:自律移動ロボット、2023~2028年、中東およびアフリカ(2つのレポートのバンドル)Market Share and Forecast: Autonomous Mobile Robots, 2023-2028, Middle East and Africa (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、中東およびアフリカ(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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中東・アフリカの自律移動ロボット(AMR)市場は2028年までに平均以上のCAGRを記録すると予測:Quadrant Knowledge Solutions社
中東・アフリカ(MEA)地域では、自律移動ロボット(AMR)市場が平均以上の成長を遂げています。同地域では、ロジスティクスや製造業が拡大し、インフラやテクノロジーへの投資が増加していることが、AMRの採用を促進しています。UAE、サウジアラビア、南アフリカなどの国々がこの成長をリードしており、AMRを活用して業務効率を高め、人件費を削減し、サプライチェーンの回復力を高めています。さらに、さまざまな産業で近代化とデジタル変革が推進されていることも、中東・アフリカ地域におけるAMRの展開に有利な環境を醸成しています。
Quadrant Knowledge Solutionsの発表によると、中東・アフリカのAMR市場は2028年までに平均を上回るCAGRを記録すると予測されています。
中東・アフリカ地域の自律移動ロボット市場の将来性は有望で、今後数年間で大きな成長が見込まれます。インフラと技術への継続的な投資と政府の支援政策により、AMRの導入が加速すると予想されます。企業が効率を向上させ、競争力を維持しようとする中で、AMRの導入はますます普及していくと思われます。IoTやAIなどの先進技術の統合により、AMRの機能はさらに強化され、ロジスティクスや製造部門で不可欠なツールとなると思われます。全体として、中東・アフリカ地域は世界のAMR市場の主要企業になる準備が整っています。
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 above average by 2028 in Middle East & Africa.
The Middle East and Africa (MEA) region is experiencing above-average growth in the Autonomous Mobile Robots (AMR) market. The region's expanding logistics and manufacturing sectors, along with increasing investments in infrastructure and technology, are driving the adoption of AMRs. Countries like the UAE, Saudi Arabia, and South Africa are leading this growth, leveraging AMRs to enhance operational efficiency, reduce labor costs, and improve supply chain resilience. Additionally, the push towards modernization and digital transformation across various industries is fostering a favorable environment for the deployment of AMRs in the MEA region.
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 above average by 2028 in Middle East & Africa.
The future of the AMR market in the MEA region looks promising, with significant growth potential in the coming years. Continued investments in infrastructure and technology, along with supportive government policies, are expected to accelerate the adoption of AMRs. As companies seek to improve efficiency and remain competitive, the deployment of AMRs will become increasingly prevalent. The integration of advanced technologies such as IoT and AI will further enhance the capabilities of AMRs, making them indispensable tools in the logistics and manufacturing sectors. Overall, the MEA region is poised to become a key player in the global AMR market.
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.