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市場調查報告書
商品編碼
2088330
自動緊急煞車系統市場:按組件、偵測技術、車輛類型和銷售管道分類-2026-2032年全球市場預測Autonomous Emergency Braking System Market by Component, Sensing Technology, Vehicle Type, Sales Channel - Global Forecast 2026-2032 |
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預計到 2032 年,自動緊急煞車系統市場規模將達到 1,548.7 億美元,複合年成長率為 16.80%。
| 主要市場統計數據 | |
|---|---|
| 基準年 2025 | 522.1億美元 |
| 預計年份:2026年 | 607.4億美元 |
| 預測年份 2032 | 1548.7億美元 |
| 複合年成長率 (%) | 16.80% |
自動緊急煞車系統(AEB)曾經被認為只是豪華車才配備的高級駕駛輔助系統(ADAS)之一,如今已成為確保車輛安全的強制性要求。 AEB利用攝影機、雷達、LiDAR、超音波感知器、電控系統(ECU)和煞車啟動軟體來偵測碰撞風險,並在駕駛未能及時做出反應時自動降低車速。
AEB市場格局正在發生重塑,從獨立的煞車功能轉向整合式、軟體定義的安全平台。汽車製造商正朝著集中式運算、感測器融合和空中下載(OTA)軟體更新的方向發展,這些舉措正在提升煞車性能、物體分類能力以及車輛整個生命週期內的響應場景範圍。
人工智慧透過改進目標偵測、路徑預測、感測器融合和減少誤報,提高了自動緊急煞車系統的準確性和穩健性。深度學習模型可幫助系統在各種天氣、光照和路況下識別車輛、行人、自行車、路邊物體、車道邊界以及複雜的交通行為。
亞太地區對於自動緊急煞車(AEB)至關重要,這得益於其大規模的汽車生產、積極主動的NCAP碰撞測試項目以及快速的電氣化進程,涵蓋中國、日本、韓國、印度和澳洲。在中國,電動車的普及規模和國內ADAS(高級駕駛輔助系統)供應鏈正在加速攝影機和雷達的整合。同時,在日本和韓國,成熟的汽車安全專案、先進的電子技術和完善的供應商生態系統正在推動自動緊急煞車技術的發展。在印度,隨著Bharat NCAP的實施、消費者安全意識的提高以及安全功能的廣泛應用,AEB的發展勢頭強勁。此外,澳洲的ANCAP碰撞測試協議也持續影響進口和國產車輛安全設備的普及。
在東協地區,車輛部署得益於泰國、印尼、馬來西亞和越南的本地車輛組裝,以及東協新車安全評估協會(ASEAN NCAP)對安全功能推廣和意識提升的影響。海灣合作理事會(GCC)地區的特點是豪華車普及率高、在嚴苛氣候條件下有著嚴格的檢驗要求、高速公路環境複雜,以及政府對更安全的交通走廊、智慧城市和提升車輛安全性的重視。
美國正根據美國國家公路交通安全管理局 (NHTSA) 2024 年最終規則,推進自動緊急煞車系統 (AEB) 的廣泛標準化;加拿大預計將繼續與北美安全和貿易要求保持密切合作。墨西哥受益於與美墨加協定 (USMCA) 相關的汽車製造業和出口導向汽車生產;巴西則受到拉丁美洲新車安全評鑑協會 (Latin NCAP)、本地生產以及旨在提升車輛效率和技術發展的「Rota 2030」創新政策的影響。
產業領導者應將自動緊急煞車系統(AEB)視為一個平台功能,而非僅僅一項單一的安全功能。優先發展方向應包括:投資攝影機和雷達融合技術、人工智慧模型管治、冗餘煞車動力學、從設計階段就採取網路安全措施,以及在夜間駕駛、弱勢道路使用者、十字路口、匯入車流、摩托車和惡劣天氣等真實場景中檢驗。
本執行摘要採用數據驅動的研究框架編寫,該框架結合了檢驗的二手資訊、監管趨勢審查、公共安全數據、車輛安全評估協議、技術標準、貿易指標、專利趨勢、供應商文件、技術基準和公開的行業資訊。
在法規、消費者期望、保險評估以及可衡量的事故減少效果的推動下,自動緊急煞車(AEB)正成為現代車輛安全的關鍵功能。隨著AEB的應用場景從車輛間煞車擴展到涉及行人、騎乘者、十字路口、摩托車和弱光環境等場景,其性能將越來越依賴感測器融合、人工智慧感知、可靠的煞車動作和嚴格的檢驗。
The Autonomous Emergency Braking System Market is projected to grow by USD 154.87 billion at a CAGR of 16.80% by 2032.
| KEY MARKET STATISTICS | |
|---|---|
| Base Year [2025] | USD 52.21 billion |
| Estimated Year [2026] | USD 60.74 billion |
| Forecast Year [2032] | USD 154.87 billion |
| CAGR (%) | 16.80% |
Autonomous emergency braking systems have moved from premium advanced driver assistance systems to a core vehicle safety requirement. AEB uses cameras, radar, lidar, ultrasonic sensors, electronic control units, and brake actuation software to detect imminent collisions and automatically reduce vehicle speed when the driver does not respond in time.
Market momentum is supported by public safety evidence, regulatory mandates, and New Car Assessment Program scoring. The World Health Organization reports about 1.19 million road traffic deaths annually, while Insurance Institute for Highway Safety research links front crash prevention with meaningful reductions in police-reported rear-end crashes and injury crashes. With the U.S. National Highway Traffic Safety Administration finalizing FMVSS No. 127 in 2024 and the EU General Safety Regulation phasing in advanced emergency braking requirements, adoption is becoming a compliance, brand, and insurance priority.
The AEB landscape is being reshaped by the shift from stand-alone braking functions to integrated, software-defined safety platforms. Automakers are moving toward centralized compute, sensor fusion, and over-the-air software updates that allow braking performance, object classification, and scenario coverage to improve across vehicle lifecycles.
Regulatory test protocols are also becoming more demanding. Modern autonomous emergency braking systems must address vehicles, pedestrians, cyclists, junction scenarios, low-light conditions, and higher-speed crash avoidance. At the same time, electric vehicles are accelerating innovation through brake-by-wire systems, regenerative braking coordination, and faster electronic response times. Suppliers that can combine cost efficiency, safety validation, and scalable software architectures are positioned to benefit from stricter safety requirements and rising ADAS content.
Artificial intelligence is increasing the accuracy and resilience of autonomous emergency braking by improving object detection, path prediction, sensor fusion, and false-positive reduction. Deep learning models help systems distinguish vehicles, pedestrians, cyclists, roadside objects, lane boundaries, and complex traffic behavior across diverse weather, lighting, and road conditions.
The cumulative impact of AI is most visible in edge processing, synthetic data generation, simulation-based validation, and continuous software refinement. However, AI-enabled AEB must be governed by functional safety, cybersecurity, and safety-of-the-intended-functionality practices, including ISO 26262, ISO 21448, and UN R155-aligned controls. Leaders are prioritizing explainable model behavior, robust datasets, and traceable validation to meet regulator, insurer, and consumer expectations.
Asia-Pacific is a pivotal AEB region because China, Japan, South Korea, India, and Australia combine large vehicle production, active NCAP programs, and rapid electrification. China's electric vehicle scale and domestic ADAS supply chain are accelerating camera-radar integration, while Japan and South Korea continue to advance autonomous emergency braking through established vehicle safety programs, high electronics capability, and mature supplier ecosystems. India is gaining momentum through Bharat NCAP, rising consumer awareness, and expanding safety-feature availability, while Australia's ANCAP protocols continue to influence fitment across imported and locally sold vehicles.
North America is being shaped by the U.S. FMVSS No. 127 rule, fleet safety economics, insurance scrutiny, and demand across SUVs, pickups, and commercial vehicles. Europe remains one of the most regulated and mature AEB markets, supported by the EU General Safety Regulation, UNECE frameworks, and Euro NCAP protocols that increasingly assess vulnerable road users and complex crash scenarios. Latin America is advancing through Latin NCAP pressure, local manufacturing, and gradual safety-feature democratization, while the Middle East is supported by premium vehicle penetration, smart mobility programs, and fleet modernization. Africa is earlier in adoption but is gaining policy attention as governments, importers, and transport operators address road safety, vehicle standards, and safer fleet procurement.
ASEAN adoption is supported by regional vehicle assembly in Thailand, Indonesia, Malaysia, and Vietnam, alongside ASEAN NCAP's influence on safety-feature availability and consumer awareness. The GCC is characterized by premium vehicle penetration, harsh-climate validation requirements, high-speed road environments, and government interest in safer mobility corridors, smart cities, and fleet safety upgrades.
The European Union is the clearest regulatory accelerator because mandatory safety requirements and Euro NCAP scoring make autonomous emergency braking a baseline competitive feature across vehicle classes. BRICS markets offer scale through China, India, Brazil, Russia, and South Africa, but adoption varies by affordability, localization, vehicle mix, and infrastructure readiness. G7 countries lead in safety regulation, ADAS research, automotive software, and insurance-linked incentives, while NATO economies add demand for secure, resilient electronics supply chains, cybersecurity-aligned vehicle platforms, and fleet safety modernization.
The United States is moving toward broad AEB standardization under NHTSA's 2024 final rule, while Canada is expected to remain closely aligned with North American safety and trade requirements. Mexico benefits from USMCA-linked vehicle manufacturing and export-oriented automotive production, while Brazil is influenced by Latin NCAP, local production, and Rota 2030 innovation policy that supports vehicle efficiency and technology development.
In Europe, the United Kingdom, Germany, France, Italy, and Spain benefit from dense supplier networks, Euro NCAP influence, and EU or UNECE-aligned safety rules, while Russia faces more complex sourcing, certification, and localization conditions. China leads in EV-linked ADAS scale and rapid software-defined vehicle development, India is progressing through Bharat NCAP and rising safety awareness, Japan builds on JNCAP and Safety Support Car initiatives, Australia is shaped by ANCAP expectations and import safety specifications, and South Korea advances through KNCAP, high electronics capability, and globally competitive vehicle platforms.
Industry leaders should treat AEB as a platform capability rather than a single safety feature. Priority actions include investing in camera-radar fusion, AI model governance, redundant braking actuation, cybersecurity-by-design, and validation across real-world scenarios such as night driving, vulnerable road users, junctions, cut-in traffic, motorcycles, and adverse weather.
OEMs and suppliers should align product roadmaps with NHTSA, EU, UNECE, NCAP, and insurance expectations while building modular architectures that can scale from entry vehicles to premium models. Strategic partnerships in semiconductors, sensors, simulation, cybersecurity, brake-by-wire systems, and data annotation will be critical. Companies that reduce false positives, document safety performance, ensure software traceability, and localize systems for regional road behavior can strengthen compliance readiness, consumer confidence, and brand trust.
This executive summary is developed using a data-backed research framework that combines verified secondary sources, regulatory review, public safety data, vehicle safety assessment protocols, technical standards, trade indicators, patent activity, supplier documentation, technology benchmarking, and publicly available industry disclosures.
Triangulation across demand-side, supply-side, and policy-side evidence is used to minimize bias and strengthen interpretation. Inputs are reviewed for recency, source credibility, and relevance to autonomous emergency braking systems, including hardware, software, artificial intelligence, validation, cybersecurity, functional safety, and regional adoption factors. Insights are presented only where supported by publicly verifiable information or well-established industry evidence.
Autonomous emergency braking is becoming a defining capability in modern vehicle safety, driven by regulation, consumer expectations, insurance evaluation, and measurable crash-reduction benefits. As AEB expands from vehicle-to-vehicle braking to pedestrian, cyclist, intersection, motorcycle, and low-light scenarios, performance will increasingly depend on sensor fusion, AI-enabled perception, reliable brake actuation, and rigorous validation.
The strongest opportunities will emerge for companies that combine compliance readiness with scalable cost structures, robust safety engineering, and software-defined innovation. With mandates tightening across major automotive markets, AEB is no longer optional; it is a strategic requirement for safer mobility, competitive vehicle ratings, and long-term participation in the global advanced driver assistance systems ecosystem.