중동 및 아프리카의 자율이동로봇(AMR) 시장은 2028년까지 평균 이상의 CAGR을 나타낼 것으로 전망: Quadrant Knowledge Solutions
중동 및 아프리카(MEA) 지역의 자율이동로봇(AMR) 시장은 평균 이상의 성장세를 보이고 있습니다. 이 지역에서는 물류 및 제조 산업의 성장과 인프라 및 기술에 대한 투자 증가가 AMR 도입을 촉진하고 있으며, UAE, 사우디아라비아, 남아프리카공화국 등의 국가들이 AMR을 활용하여 업무 효율성을 높이고 인건비를 절감하며 공급망 탄력성을 향상시키고 있습니다. 공급망의 탄력성을 높이고 있습니다. 또한, 다양한 산업 분야에서 현대화 및 디지털 혁신이 추진되고 있는 것도 중동 및 아프리카의 AMR 도입에 유리한 환경을 조성하고 있습니다.
Quadrant Knowledge Solutions의 발표에 따르면, 중동 및 아프리카 AMR 시장은 2028년까지 평균 이상의 CAGR을 나타낼 것으로 예상됩니다.
중동 및 아프리카의 자율이동로봇 시장은 향후 몇 년동안 큰 성장이 기대되는 유망한 시장입니다. 인프라와 기술에 대한 지속적인 투자와 정부의 지원 정책으로 AMR의 도입이 가속화될 것으로 예상됩니다. 기업들이 효율성을 높이고 경쟁력을 유지하기 위해 노력하면서 AMR의 도입은 더욱 확산될 것이며, IoT 및 AI와 같은 첨단 기술의 통합으로 AMR의 기능은 더욱 강화되어 물류 및 제조 부문에서 필수적인 도구가 될 것으로 보입니다. 전반적으로 중동 및 아프리카은 세계 AMR 시장의 선두주자가 될 준비가 되어 있습니다.
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.