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시장보고서
상품코드
1609488
시장 점유율 및 예측 : 자율이동로봇(2023-2028년), 라틴아메리카(2개 보고서 번들)Market Share and Forecast: Autonomous Mobile Robots, 2023-2028, Latin America (Bundle of Two Reports) |
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Quadrant Knowledge Solutions의 발표에 따르면, 라틴아메리카의 자율이동로봇(AMR) 시장은 2028년까지 평균 이상의 CAGR을 나타낼 것으로 예상됩니다.
라틴아메리카의 자율이동로봇(AMR) 시장은 평균 이상의 성장세를 보이고 있습니다. 이 지역의 전자상거래 부문 확대와 물류 및 공급망 인프라에 대한 투자 증가가 AMR에 대한 수요를 촉진하고 있습니다. 브라질과 멕시코와 같은 국가들은 AMR을 활용하여 창고 운영을 강화하고, 유통 프로세스를 간소화하며, 전반적인 생산성을 향상시키기 위해 AMR을 활용하고 있습니다. 또한, 다양한 산업 분야에서 현대화 및 디지털 혁신이 추진되고 있는 점도 라틴아메리카에서 AMR 도입에 유리한 환경을 조성하고 있습니다.
Quadrant Knowledge Solutions의 발표에 따르면, 라틴아메리카의 자율이동로봇(AMR) 시장은 2028년까지 평균 이상의 CAGR을 나타낼 것으로 예상됩니다.
라틴아메리카의 자율이동로봇 시장의 미래는 밝으며, 향후 몇 년동안 큰 성장이 예상됩니다. 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 분야에서 필수적인 도구가 될 것으로 보입니다. 전반적으로 라틴아메리카는 세계 AMR 시장에서 중요한 기업이 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 Latin America.
Latin America is witnessing above-average growth in the Autonomous Mobile Robots (AMR) market. The region's expanding e-commerce sector, coupled with increasing investments in logistics and supply chain infrastructure, is driving the demand for AMRs. Countries like Brazil and Mexico are at the forefront of this growth, leveraging AMRs to enhance warehouse operations, streamline distribution processes, and improve overall productivity. Additionally, the push towards modernization and digital transformation across various industries is fostering a favorable environment for the adoption of AMRs in Latin America.
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 Latin America.
The future of the AMR market in Latin America appears bright, 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, Latin America 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.