The Latin America, Middle East and Africa Collision Avoidance System Market is expected to witness market growth of 12.6% CAGR during the forecast period (2024-2031).
The Brazil market dominated the LAMEA Collision Avoidance System Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $3.40 billion by 2031. The Argentina market is showcasing a CAGR of 14.1% during 2024-2031. Additionally, the UAE market would register a CAGR of 11.5% during 2024-2031.
Industries such as mining, construction, warehousing, and logistics utilize collision avoidance technologies to enhance workplace safety. Heavy machinery, including forklifts, cranes, and bulldozers, are equipped with sensor-based anti-collision systems to detect nearby obstacles, workers, and other vehicles. These technologies significantly reduce accident risks, improve productivity, and comply with workplace safety regulations.
Autonomous robots and Autonomous Mobile Robots (AMRs) rely heavily on collision detection technologies to navigate complex environments safely. Drones, warehouse robots, and AI-powered delivery robots use a combination of LiDAR, radar, and vision-based systems to detect and avoid obstacles in real-time. With the increasing adoption of automation in logistics, healthcare, and manufacturing, collision avoidance technologies are crucial in enabling safe and efficient robotic operations.
The market is growing rapidly, with investments in autonomous transportation, infrastructure development, and automotive safety technologies all contributing to this. Dubai’s ambitious Autonomous Transportation Strategy aims to have 25% of all transportation in the Emirates fully autonomous by 2030. Advanced systems will be necessary to guarantee passenger safety in the context of the Dubai Roads and Transport Authority's (RTA) initiative to deploy 4,000 autonomous taxis and buses. Saudi Arabia’s large-scale investment of $147 billion in its transport and logistics sector by 2030, along with a dedicated allocation of $9.06 billion in its 2023 budget for infrastructure and transportation, is set to drive the adoption of collision avoidance systems. Brazil’s auto parts industry is experiencing a surge in investment, with the Brazilian Association of the Auto Parts Industry (Sindipecas) increasing its investment forecast from 2% to 5%, reaching $1.25 billion in 2024. In conclusion, advancements in Dubai’s autonomous transportation, Saudi Arabia’s infrastructure investments, and Brazil’s expanding auto parts industry are driving market growth.
The Brazil market dominated the LAMEA Collision Avoidance System Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $3.40 billion by 2031. The Argentina market is showcasing a CAGR of 14.1% during 2024-2031. Additionally, the UAE market would register a CAGR of 11.5% during 2024-2031.
Industries such as mining, construction, warehousing, and logistics utilize collision avoidance technologies to enhance workplace safety. Heavy machinery, including forklifts, cranes, and bulldozers, are equipped with sensor-based anti-collision systems to detect nearby obstacles, workers, and other vehicles. These technologies significantly reduce accident risks, improve productivity, and comply with workplace safety regulations.
Autonomous robots and Autonomous Mobile Robots (AMRs) rely heavily on collision detection technologies to navigate complex environments safely. Drones, warehouse robots, and AI-powered delivery robots use a combination of LiDAR, radar, and vision-based systems to detect and avoid obstacles in real-time. With the increasing adoption of automation in logistics, healthcare, and manufacturing, collision avoidance technologies are crucial in enabling safe and efficient robotic operations.
The market is growing rapidly, with investments in autonomous transportation, infrastructure development, and automotive safety technologies all contributing to this. Dubai’s ambitious Autonomous Transportation Strategy aims to have 25% of all transportation in the Emirates fully autonomous by 2030. Advanced systems will be necessary to guarantee passenger safety in the context of the Dubai Roads and Transport Authority's (RTA) initiative to deploy 4,000 autonomous taxis and buses. Saudi Arabia’s large-scale investment of $147 billion in its transport and logistics sector by 2030, along with a dedicated allocation of $9.06 billion in its 2023 budget for infrastructure and transportation, is set to drive the adoption of collision avoidance systems. Brazil’s auto parts industry is experiencing a surge in investment, with the Brazilian Association of the Auto Parts Industry (Sindipecas) increasing its investment forecast from 2% to 5%, reaching $1.25 billion in 2024. In conclusion, advancements in Dubai’s autonomous transportation, Saudi Arabia’s infrastructure investments, and Brazil’s expanding auto parts industry are driving market growth.
List of Key Companies Profiled
- Infineon Technologies AG
- NXP Semiconductors N.V.
- Continental AG
- DENSO CORPORATION
- Aptiv PLC
- Robert Bosch GmbH
- Analog Devices, Inc.
- Murata Manufacturing Co., Ltd.
- Panasonic Holdings Corporation
- Alstom SA
Market Report Segmentation
By Technology
- Radar
- Camera
- Ultrasound
- LiDAR
By Application
- Adaptive Cruise Control (ACC)
- Forward Collision Warning System (FCWS)
- Blind Spot Detection (BSD)
- Parking Assistance
- Lane Departure Warning System (LDWS)
- Other Application
By Country
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. LAMEA Collision Avoidance System Market by Technology
Chapter 6. LAMEA Collision Avoidance System Market by Application
Chapter 7. LAMEA Collision Avoidance System Market by Country
Chapter 8. Company Profiles
Companies Mentioned
- Infineon Technologies AG
- NXP Semiconductors N.V.
- Continental AG
- DENSO CORPORATION
- Aptiv PLC
- Robert Bosch GmbH
- Analog Devices, Inc.
- Murata Manufacturing Co., Ltd.
- Panasonic Holdings Corporation
- Alstom SA
Methodology
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