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1916592

全球下一代自動駕駛安全系統市場：未來預測（至2032年）－按系統類型、車輛類型、最終用戶和地區分類的分析

Next-Gen Autonomous Safety Systems Market Forecasts to 2032 - Global Analysis By System Type, Vehicle Type, End User and By Geography

出版日期: 2026年01月01日 | 出版商:

Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的一項研究，全球下一代自動駕駛安全系統市場預計將在 2025 年達到 98 億美元，到 2032 年達到 218 億美元，在預測期內以 12.1% 的複合年成長率成長。

新一代自動駕駛安全系統結合了先進的演算法和高精度感測技術，正在重新定義風險管理。它們利用機器學習、雷達、攝影機和即時分析技術，能夠預測危險情況並立即做出反應，無需人工干預。這些系統會評估環境狀況、駕駛模式和潛在威脅，然後啟動諸如防碰撞、速度調整和自動轉向等預防措施。與網際網路絡的整合實現了持續更新和安全資訊的共用。隨著自動化技術的進步，這些安全解決方案將超越基本的輔助功能，成為核心控制要素，從而顯著降低事故率，提高駕駛可靠性，並推動自動駕駛汽車和智慧運輸解決方案的廣泛應用。

根據 Euro NCAP 和 ANCAP 的研究，如果所有車輛都配備自動緊急煞車 (AEB) 技術，則可以防止高達 38% 的實際追撞事故。

自動駕駛和半自動駕駛系統的日益普及

自動駕駛和半自動駕駛技術的日益普及，正在加速對下一代安全系統的需求。隨著自動化在駕駛和營運任務中承擔更多責任，安全機制必須不斷發展，才能在無需人工干預的情況下管理即時風險。先進的安全系統使機器能夠檢測危險、評估狀況並立即採取行動，即使在不確定的環境中也能如此。交通運輸、倉儲和工業製造等行業越來越依賴自動化來提高生產效率和穩定性。這種轉變凸顯了智慧安全解決方案的重要性，這些解決方案能夠支援更高程度的自動化，降低故障風險，並確保可靠的效能，最終增強用戶和監管機構之間的信任。

高昂的開發和實施成本

開發和部署下一代自動駕駛安全系統的高昂成本限制了市場發展。人工智慧演算法、高精度感測器和高效能運算單元等先進元件需要大量的前期投資。將系統適配到現有平台還會產生額外的工程、測試和合規成本。這些財務負擔對中小型製造商和營運商來說可能構成障礙。除了初始部署成本外，系統更新、維護和網路安全等持續成本也進一步加重了財務負擔。因此，儘管安全優勢顯而易見，但高成本限制了系統的普及率，並減緩了整體市場擴張，尤其是在新興市場和價格敏感型地區。

與物聯網和連接基礎設施的整合

自主安全系統與物聯網網路和連接基礎設施的整合蘊藏著巨大的成長潛力。在智慧城市和聯網汽車環境中，即時數據交換能夠實現預測性和預防性安全措施。 V2X 通訊使系統能夠及早發現危險、管理交通流量並降低事故風險。在工業環境中，互聯設備和感測器可以持續監控流程並啟動自動安全回應。基礎設施、車輛和機器之間互聯互通的擴展為可擴展的、基於雲端的、人工智慧驅動的安全解決方案鋪平了道路。這種融合實現了更智慧、更快速、更可靠的安全管理，為交通、物流和城市發展領域創造了巨大的市場機會。

激烈的競爭和市場分散

激烈的競爭和市場分散是下一代自動駕駛安全系統市場面臨的主要挑戰。越來越多的全球和區域性公司提供種類繁多的產品，這些產品在技術、功能和定價模式上各不相同。這種競爭壓力降低了利潤率，並要求企業不斷創新。分散的市場供應會使消費者感到困惑，阻礙標準化，並導致系統間的互通性問題。中小企業可能難以與大型汽車製造商、技術領導者和資金雄厚的新興企業競爭。這種分散且競爭激烈的環境，加上技術的快速發展，會使企業難以獲得穩定的市場地位，並限制其長期盈利和市場成長前景。

新冠疫情的感染疾病：

新冠疫情的蔓延導致供應鏈中斷和生產放緩，對下一代自動駕駛安全系統市場造成了顯著影響。封鎖和旅行限制延緩了關鍵感測器、人工智慧模組和其他系統組件的生產。由於企業面臨財務不確定性並推遲技術應用，對自動駕駛汽車和工業自動化的投資有所下降。然而，疫情凸顯了非接觸式操作和自動化的價值，推動了交通運輸、物流和工業領域對人工智慧安全解決方案的興趣日益濃厚。儘管短期市場成長受到阻礙，但也促進了遠端監控、預測性安全技術和智慧系統設計領域的創新，為疫情後更強勁的市場復甦奠定了基礎。

預計在預測期內，防碰撞系統細分市場將佔據最大的市場佔有率。

預計在預測期內，防碰撞系統將佔據最大的市場佔有率。這些系統透過識別潛在威脅並自動採取緊急煞車或規避轉向等糾正措施，在防撞發揮關鍵作用。其應用範圍涵蓋個人、商用車和工業機械，在這些領域，安全至關重要。該細分市場的成長主要得益於日益嚴格的監管要求、消費者對車輛安全日益成長的關注以及人工智慧和感測器技術的進步。作為自動駕駛安全架構的核心要素，防碰撞系統能夠提供快速且即時的干涉，顯著降低風險，同時提升整體安全操作的可靠性和有效性。

預計在預測期內，無人駕駛計程車和共用自動駕駛出行領域將達到最高的複合年成長率。

預計在預測期內，無人駕駛計程車和共用自動駕駛出行領域將達到最高成長率。成長主要得益於自動駕駛共享旅遊服務的快速普及和智慧城市交通網路的擴展。包括人工智慧驅動的分析、感測器整合和預測性監控在內的先進安全技術，正在提升營運效率和乘客安全，從而推動其廣泛應用。城市人口成長、交通挑戰以及對非接觸式旅遊解決方案的需求等因素，正在進一步推動該領域的成長。隨著共用和自動駕駛出行在全球範圍內的擴展，可靠的安全系統對於合規、預防事故和建立用戶信任至關重要，這使得該領域成為行業相關人員關注的焦點和成長最快的領域。

佔比最大的地區：

預計北美地區將在預測期內佔據最大的市場佔有率。對尖端汽車技術的早期應用、先進的基礎設施以及政府對自動駕駛汽車舉措的支持性政策是推動成長的主要因素。消費者對更安全車輛的需求、嚴格的監管要求以及對人工智慧、感測器和互聯出行解決方案的大量投資，進一步鞏固了北美地區的市場主導地位。主要汽車製造商和技術創新者的存在正在加速自動駕駛安全解決方案的普及。此外，北美地區為減少道路交通事故、提高出行安全以及實施智慧城市計畫所做的努力，正在推動乘用車、商務傳輸和工業自動駕駛系統的廣泛整合，使北美成為全球最具影響力的市場。

複合年成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率。快速的城市擴張、不斷成長的汽車保有量以及工業自動化正在推動對智慧安全解決方案的需求。中國、日本和韓國政府對自動駕駛、智慧城市建設和日益嚴格的車輛安全法規的支持，進一步促進了市場成長。對人工智慧、高精度感測器和互聯交通基礎設施的投資將進一步推動其應用。公共道路安全意識的提高、電動車和自動駕駛技術的發展，以及全球科技公司與本地製造商之間的合作，都在增強市場滲透率。這些因素共同作用，使亞太地區成為全球自動駕駛安全系統成長最快的地區。

免費客製化服務：

購買此報告的客戶可以選擇以下免費自訂選項之一：

公司概況
- 對其他市場公司（最多 3 家公司）進行全面分析
- 主要企業SWOT分析（最多3家公司）
區域細分
- 根據客戶要求，提供主要國家的市場估算和預測以及複合年成長率（註：可行性需確認）。
競爭標竿分析
- 根據主要企業的產品系列、地理覆蓋範圍和策略聯盟進行基準分析

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 德國
- 英國
- 義大利
- 法國
- 西班牙
- 其他歐洲
亞太地區
- 日本
- 中國
- 印度
- 澳洲
- 紐西蘭
- 韓國
- 亞太其他地區
南美洲
- 阿根廷
- 巴西
- 智利
- 其他南美國家
中東和非洲
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 卡達
- 南非
- 其他中東和非洲地區

第9章：重大發展

協議、夥伴關係、合作和合資企業
併購
新產品發布
業務拓展
其他關鍵策略

第10章：企業概況

Robert Bosch GmbH
DENSO Corporation
Continental AG
ZF Friedrichshafen AG
Aptiv PLC
Autoliv Inc.
Magna International Inc.
Mobileye
NVIDIA Corporation
Valeo SA
Hyundai Mobis
Aisin Seiki Co. Ltd.
Infineon Technologies AG
Qualcomm Technologies Inc.
Veoneer

簡介目錄圖表

Product Code: SMRC33165

According to Stratistics MRC, the Global Next-Gen Autonomous Safety Systems Market is accounted for $9.80 billion in 2025 and is expected to reach $21.80 billion by 2032 growing at a CAGR of 12.1% during the forecast period. Next-generation autonomous safety systems are redefining risk management by combining intelligent algorithms with high-precision sensing technologies. Using machine learning, radar, cameras, and real-time analytics, these systems can anticipate dangerous situations and respond instantly without human input. They assess environmental conditions, operational patterns, and potential threats to trigger preventive actions such as collision avoidance, speed adjustment, or automated steering. Integration with connected networks allows continuous updates and shared safety intelligence. As automation advances, these safety solutions move beyond basic assistance to become core control elements, significantly lowering accident rates, enhancing operational confidence, and supporting the widespread adoption of autonomous vehicles and smart mobility solutions.

According to Euro NCAP and ANCAP studies, Autonomous Emergency Braking (AEB) technology can prevent up to 38% of rear-end collisions in real-world driving conditions if fitted to all vehicles.

Market Dynamics:

Driver:

Growing adoption of autonomous and semi-autonomous systems

Rising deployment of autonomous and semi-autonomous technologies is accelerating demand for next-generation safety systems. As automation takes on more responsibility in driving and operational tasks, safety mechanisms must evolve to manage real-time risks without human intervention. Advanced safety systems enable machines to detect hazards, assess conditions, and act instantly in uncertain environments. Sectors including transportation, warehousing, and industrial production are increasingly relying on autonomy to boost productivity and consistency. This transition amplifies the importance of intelligent safety solutions that can support higher autonomy levels, reduce failure risks, and ensure dependable performance, ultimately fostering confidence among users and regulators alike.

Restraint:

High development and implementation costs

The substantial cost associated with developing and deploying next-generation autonomous safety systems acts as a major market restraint. Advanced components such as AI algorithms, high-precision sensors, and powerful computing units demand significant upfront investment. Adapting these systems to existing platforms involves additional engineering, testing, and compliance expenses. For smaller manufacturers and operators, these financial demands can be prohibitive. Beyond initial installation, recurring costs related to system updates, maintenance, and cybersecurity further increase the financial burden. Consequently, despite clear safety advantages, elevated costs limit adoption rates, especially in emerging and price-sensitive regions, slowing overall market expansion.

Opportunity:

Integration with IoT and connected infrastructure

The fusion of autonomous safety systems with IoT networks and connected infrastructure presents major growth potential. In smart cities and connected vehicle ecosystems, real-time data exchange allows predictive and proactive safety measures. V2X communication enables systems to detect hazards early, manage traffic flow, and reduce accident risks. In industrial environments, interconnected equipment and sensors can continuously monitor processes and initiate automated safety responses. The expanding connectivity between infrastructure, vehicles, and machinery opens avenues for cloud-based, AI-powered, and scalable safety solutions. This integration supports smarter, faster, and more reliable safety management, creating significant market opportunities across transportation, logistics, and urban development sectors.

Threat:

High competition and market fragmentation

Intense competition and fragmentation present major challenges for the next-generation autonomous safety systems market. A growing number of global and regional players offer a wide array of products with different technologies, capabilities, and pricing models. This competitive pressure reduces profit margins and necessitates continuous innovation. Fragmented market offerings can confuse consumers, hinder standardization, and create interoperability issues among systems. Smaller firms may find it difficult to compete with large automakers, technology leaders, and well-capitalized startups. Combined with the rapid pace of technological advancement, this fragmented and competitive landscape makes it challenging to secure a stable market position, potentially limiting long-term profitability and market growth prospects.

Covid-19 Impact:

The COVID-19 outbreak had a notable effect on the next-generation autonomous safety systems market by causing supply chain interruptions and manufacturing slowdowns. Lockdowns and movement restrictions delayed production of critical sensors, AI modules, and other system components. Investment in autonomous vehicles and industrial automation decreased as companies faced financial uncertainty and postponed technology adoption. On the other hand, the pandemic emphasized the value of contactless operations and automation, driving interest in AI-enabled safety solutions for transportation, logistics, and industrial sectors. Although short-term market growth was hindered, the situation spurred innovation in remote monitoring, predictive safety, and intelligent system design, positioning the market for a stronger recovery post-pandemic.

The collision avoidance systems segment is expected to be the largest during the forecast period

The collision avoidance systems segment is expected to account for the largest market share during the forecast period. These systems play a pivotal role in preventing collisions by identifying potential threats and automatically executing corrective measures like emergency braking or evasive steering. Their application is widespread across personal vehicles, commercial fleets, and industrial machinery, where safety is a top priority. The segment's growth is fueled by regulatory mandates, increasing consumer focus on vehicle safety, and advancements in AI and sensor technologies. Serving as a core element of autonomous safety architecture, collision avoidance systems offer rapid, real-time interventions, significantly mitigating risk and enhancing the overall reliability and effectiveness of safety operations.

The robo-taxis & shared autonomous mobility segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the robo-taxis & shared autonomous mobility segment is predicted to witness the highest growth rate. Growth is fueled by the rapid introduction of autonomous ride-sharing services and smart urban transportation networks. Advanced safety technologies, including AI-driven analytics, sensor integration, and predictive monitoring, improve operational efficiency and passenger protection, supporting widespread adoption. Factors such as increasing urban populations, traffic challenges, and the need for contactless transportation solutions have further boosted growth. As shared autonomous mobility expands globally, reliable safety systems are critical for regulatory compliance, accident prevention, and building user confidence, making this segment the fastest-growing and a key focus area for industry stakeholders.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. Early adoption of cutting-edge automotive technologies, advanced infrastructure, and supportive government policies for autonomous vehicle initiatives has fueled growth. Consumer demand for safer vehicles, strict regulatory requirements, and significant investments in AI, sensors, and connected mobility solutions further strengthen market leadership. The presence of major automotive OEMs and technology innovators accelerates deployment of autonomous safety solutions. Furthermore, regional efforts to reduce traffic accidents, improve mobility safety, and implement smart city frameworks drive widespread integration across passenger cars, commercial transport, and industrial autonomous systems, making North America the most influential market globally.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. Rapid urban expansion, increased vehicle ownership, and industrial automation are fueling the demand for intelligent safety solutions. Governments in China, Japan, and South Korea support autonomous driving, smart city development, and enhanced vehicle safety regulations, encouraging market growth. Investments in AI, high-precision sensors, and connected transportation infrastructure further drive adoption. Rising public awareness of traffic safety, the growth of electric and autonomous mobility, and partnerships between global technology companies and local manufacturers strengthen market penetration. These factors collectively make Asia-Pacific the fastest-growing region for autonomous safety systems globally.

Key players in the market

Some of the key players in Next-Gen Autonomous Safety Systems Market include Robert Bosch GmbH, DENSO Corporation, Continental AG, ZF Friedrichshafen AG, Aptiv PLC, Autoliv Inc., Magna International Inc., Mobileye, NVIDIA Corporation, Valeo SA, Hyundai Mobis, Aisin Seiki Co. Ltd., Infineon Technologies AG, Qualcomm Technologies Inc. and Veoneer.

Key Developments:

In December 2025, Denso Corporation and Delphy Groep BV have entered into a Joint Development Agreement, to advance technologies that support stable planned cultivation within data-driven smart horticulture systems. The agreement deepens the collaboration initiated under an April 2025 Memorandum of Understanding, with both companies now formally aligned on developing next-generation cultivation and prediction tools for greenhouse growers.

In October 2025, Continental AG has reached a deal with former managers that will see their insurance pay damages between 40 million and 50 million euros in connection with the diesel scandal. The deal with insurers, subject to shareholder approval, covers only some of the total damages of 300 million euros.

In April 2025, ZF's Commercial Vehicle Solutions (CVS) division has secured a multi-year contract from an undisclosed commercial vehicle manufacturer in India to supply several thousand units of its AxTrax 2 electric axle. The agreement will support the production of a new fleet of zero-emissions intercity buses.

System Types Covered:

Collision Avoidance Systems
Lane-Keeping & Path Guidance Systems
Driver & Occupant Monitoring Systems
Automated Emergency Intervention Systems
Autonomous Navigation Safety Systems

Vehicle Types Covered:

Passenger Cars
Commercial Road Vehicles
Robo-Taxis & Shared Autonomous Mobility
Autonomous Aerial Vehicles
Industrial Autonomous Machines

End Users Covered:

OEMs
Fleet Operators
Defense & Security Agencies
Smart City & Infrastructure Authorities

Regions Covered:

North America
- US
- Canada
- Mexico
Europe
- Germany
- UK
- Italy
- France
- Spain
- Rest of Europe
Asia Pacific
- Japan
- China
- India
- Australia
- New Zealand
- South Korea
- Rest of Asia Pacific
South America
- Argentina
- Brazil
- Chile
- Rest of South America
Middle East & Africa
- Saudi Arabia
- UAE
- Qatar
- South Africa
- Rest of Middle East & Africa

What our report offers:

Market share assessments for the regional and country-level segments
Strategic recommendations for the new entrants
Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
Strategic recommendations in key business segments based on the market estimations
Competitive landscaping mapping the key common trends
Company profiling with detailed strategies, financials, and recent developments
Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

Company Profiling
- Comprehensive profiling of additional market players (up to 3)
- SWOT Analysis of key players (up to 3)
Regional Segmentation
- Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
Competitive Benchmarking
- Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

1 Executive Summary

2 Preface

2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
- 2.4.1 Data Mining
- 2.4.2 Data Analysis
- 2.4.3 Data Validation
- 2.4.4 Research Approach
2.5 Research Sources
- 2.5.1 Primary Research Sources
- 2.5.2 Secondary Research Sources
- 2.5.3 Assumptions

3 Market Trend Analysis

3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 End User Analysis
3.7 Emerging Markets
3.8 Impact of Covid-19

4 Porters Five Force Analysis

4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Next-Gen Autonomous Safety Systems Market, By System Type

5.1 Introduction
5.2 Collision Avoidance Systems
5.3 Lane-Keeping & Path Guidance Systems
5.4 Driver & Occupant Monitoring Systems
5.5 Automated Emergency Intervention Systems
5.6 Autonomous Navigation Safety Systems

6 Global Next-Gen Autonomous Safety Systems Market, By Vehicle Type

6.1 Introduction
6.2 Passenger Cars
6.3 Commercial Road Vehicles
6.4 Robo-Taxis & Shared Autonomous Mobility
6.5 Autonomous Aerial Vehicles
6.6 Industrial Autonomous Machines

7 Global Next-Gen Autonomous Safety Systems Market, By End User

7.1 Introduction
7.2 OEMs
7.3 Fleet Operators
7.4 Defense & Security Agencies
7.5 Smart City & Infrastructure Authorities

8 Global Next-Gen Autonomous Safety Systems Market, By Geography

8.1 Introduction
8.2 North America
- 8.2.1 US
- 8.2.2 Canada
- 8.2.3 Mexico
8.3 Europe
- 8.3.1 Germany
- 8.3.2 UK
- 8.3.3 Italy
- 8.3.4 France
- 8.3.5 Spain
- 8.3.6 Rest of Europe
8.4 Asia Pacific
- 8.4.1 Japan
- 8.4.2 China
- 8.4.3 India
- 8.4.4 Australia
- 8.4.5 New Zealand
- 8.4.6 South Korea
- 8.4.7 Rest of Asia Pacific
8.5 South America
- 8.5.1 Argentina
- 8.5.2 Brazil
- 8.5.3 Chile
- 8.5.4 Rest of South America
8.6 Middle East & Africa
- 8.6.1 Saudi Arabia
- 8.6.2 UAE
- 8.6.3 Qatar
- 8.6.4 South Africa
- 8.6.5 Rest of Middle East & Africa

9 Key Developments

9.1 Agreements, Partnerships, Collaborations and Joint Ventures
9.2 Acquisitions & Mergers
9.3 New Product Launch
9.4 Expansions
9.5 Other Key Strategies

10 Company Profiling

10.1 Robert Bosch GmbH
10.2 DENSO Corporation
10.3 Continental AG
10.4 ZF Friedrichshafen AG
10.5 Aptiv PLC
10.6 Autoliv Inc.
10.7 Magna International Inc.
10.8 Mobileye
10.9 NVIDIA Corporation
10.10 Valeo SA
10.11 Hyundai Mobis
10.12 Aisin Seiki Co. Ltd.
10.13 Infineon Technologies AG
10.14 Qualcomm Technologies Inc.
10.15 Veoneer

簡介目錄圖表

List of Tables

Table 1 Global Next-Gen Autonomous Safety Systems Market Outlook, By Region (2024-2032) ($MN)
Table 2 Global Next-Gen Autonomous Safety Systems Market Outlook, By System Type (2024-2032) ($MN)
Table 3 Global Next-Gen Autonomous Safety Systems Market Outlook, By Collision Avoidance Systems (2024-2032) ($MN)
Table 4 Global Next-Gen Autonomous Safety Systems Market Outlook, By Lane-Keeping & Path Guidance Systems (2024-2032) ($MN)
Table 5 Global Next-Gen Autonomous Safety Systems Market Outlook, By Driver & Occupant Monitoring Systems (2024-2032) ($MN)
Table 6 Global Next-Gen Autonomous Safety Systems Market Outlook, By Automated Emergency Intervention Systems (2024-2032) ($MN)
Table 7 Global Next-Gen Autonomous Safety Systems Market Outlook, By Autonomous Navigation Safety Systems (2024-2032) ($MN)
Table 8 Global Next-Gen Autonomous Safety Systems Market Outlook, By Vehicle Type (2024-2032) ($MN)
Table 9 Global Next-Gen Autonomous Safety Systems Market Outlook, By Passenger Cars (2024-2032) ($MN)
Table 10 Global Next-Gen Autonomous Safety Systems Market Outlook, By Commercial Road Vehicles (2024-2032) ($MN)
Table 11 Global Next-Gen Autonomous Safety Systems Market Outlook, By Robo-Taxis & Shared Autonomous Mobility (2024-2032) ($MN)
Table 12 Global Next-Gen Autonomous Safety Systems Market Outlook, By Autonomous Aerial Vehicles (2024-2032) ($MN)
Table 13 Global Next-Gen Autonomous Safety Systems Market Outlook, By Industrial Autonomous Machines (2024-2032) ($MN)
Table 14 Global Next-Gen Autonomous Safety Systems Market Outlook, By End User (2024-2032) ($MN)
Table 15 Global Next-Gen Autonomous Safety Systems Market Outlook, By OEMs (2024-2032) ($MN)
Table 16 Global Next-Gen Autonomous Safety Systems Market Outlook, By Fleet Operators (2024-2032) ($MN)
Table 17 Global Next-Gen Autonomous Safety Systems Market Outlook, By Defense & Security Agencies (2024-2032) ($MN)
Table 18 Global Next-Gen Autonomous Safety Systems Market Outlook, By Smart City & Infrastructure Authorities (2024-2032) ($MN)