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市场调查报告书
商品编码
1979973
互联行动安全解决方案市场预测至2034年:按产品类型、连接类型、技术、应用、最终用户和地区分類的全球分析Connected Mobility Security Solutions Market Forecasts to 2034 - Global Analysis By Product Type, Connectivity Type, Technology, Application, End User and By Geography |
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根据 Stratistics MRC 的研究,预计到 2026 年,全球互联行动安全解决方案市场规模将达到 48.3 亿美元,在预测期内以 27.0% 的复合年增长率增长,到 2034 年将达到 327.4 亿美元。
随着车辆数位化互联程度的提高,互联出行安全解决方案旨在保护现代交通网路免受网路风险的侵害。随着物联网设备、远端资讯处理系统、车联网(V2X)、云端整合和远端软体更新的日益普及,强大的网路安全措施对于维护安全性和营运连续性至关重要。这些系统采用加密通讯协定、入侵侦测工具、安全通讯闸道、身分验证机制、终端保护和持续威胁监控。人工智慧和预测分析技术被用于识别漏洞并阻止恶意活动。
根据美国国家公路交通安全管理局 (NHTSA) 的说法,联网汽车技术的全面实施有可能预防高达 80% 的合格驾驶员造成的事故,这凸显了安全 V2X(车联网)通讯的重要性。
联网汽车面临的网路安全威胁日益增加
针对数位化车辆日益增长的网路风险是推动互联出行安全解决方案市场发展的主要动力。随着车辆越来越依赖云端平台、远端资讯处理系统、V2X网路和远端软体更新,潜在的攻击面显着扩大。网路入侵可能威胁乘客安全、洩漏敏感资讯并扰乱车辆运作。鑑于人们对汽车骇客攻击事件的日益关注,製造商和旅游服务提供者正在努力提升网路安全防护能力。在此背景下,相关人员需要部署先进的加密技术、威胁侦测机制和即时监控系统,以有效保护互联交通基础架构。
高昂的实施和维修成本
部署和维护互联出行安全系统所需的大量资金是市场扩张的一大障碍。整合先进的网路安全措施需要投资于专用组件、安全通讯框架和监控技术,从而增加了开发成本。部署后,持续的成本包括系统升级、漏洞测试和专家支援。中小型汽车製造商和车队管理者可能难以分配足够的资源来实施全面的网路安全计画。新兴市场对成本的高度敏感度进一步限制了系统的采用率。
自动驾驶汽车和软体定义汽车的成长
自动驾驶和软体驱动型汽车的兴起,为互联出行网路安全供应商带来了充满希望的前景。自动驾驶系统高度依赖人工智慧、云端整合和持续资料传输来确保运作可靠性。随着车辆自动化程度的提高,影响感测器、导航控制和数位网路的潜在漏洞也日益严重。这种环境推动了先进威胁侦测工具、加密通讯通道和主动监控技术的应用。汽车製造商正在将安全机制直接整合到车辆架构中,以保护关键运作。
网路攻击日益复杂化的快速演变
网路威胁日益复杂化,对互联出行安全解决方案市场构成严重威胁。网路犯罪分子正利用人工智慧驱动的恶意软体和未被发现的软体漏洞等创新手段,渗透到数位车辆系统中。互联出行平台管理关键营运和敏感讯息,因此成为恶意攻击者的理想目标。防御机制往往难以跟上不断演变的攻击策略。如果安全系统无法快速适应,企业可能会遭受严重的资料外洩和业务中断。
新冠疫情的爆发为互联出行安全解决方案市场带来了短期挑战和长期成长机会。初期,工厂停工、物流中断和车辆需求下降迫使企业推迟网路安全的支出,预算限制也延缓了部分创新计画的实施。然而,疫情加速了数位化平台、远端监控和云端整合车辆服务的转型。对空中下载 (OTA) 更新和非接触式旅游解决方案的日益依赖,也使新的网路风险凸显出来。随着各组织意识到这些漏洞,它们正在加大对先进网路安全系统的投入。
在预测期内,远端资讯处理安全解决方案领域预计将占据最大的市场份额。
预计在预测期内,车载资讯安全解决方案领域将占据最大的市场份额。这主要得益于车载资讯科技在现代交通系统中的广泛应用。这些平台支援车辆追踪、性能分析、预测性维护和基于云端的数据共用,构成了联网汽车基础设施的基础。由于车载资讯系统处理持续的资讯流,包括关键的位置数据,因此强大的网路安全措施对于防止资料外洩和未授权存取至关重要。车队管理服务、互联保险计划和智慧物流运营的快速发展,进一步凸显了对安全车载资讯框架的需求,从而巩固了该领域在整体市场中的主导地位。
在预测期内,人工智慧(AI)领域预计将呈现最高的复合年增长率。
在预测期内,人工智慧 (AI) 领域预计将呈现最高的成长率。这主要归功于 AI 能够增强主动式网路防御策略。 AI 驱动的平台能够处理来自车辆和数位网路的大量资料集,即时侦测异常行为模式和新兴威胁。与传统安全方法不同,智慧演算法能够持续学习并适应新的攻击技术。这种能力可以实现自动化回应、提高威胁识别准确率并即时缓解风险。随着互联交通系统日益复杂且资料密集,对基于 AI 的网路安全解决方案的依赖性显着增强,从而推动了其市场强劲成长。
在整个预测期内,北美预计将凭藉其成熟的汽车产业和完善的数位基础设施,保持最大的市场份额。主要汽车製造商、网路安全技术开发人员和云端平台供应商的存在,巩固了该地区在安全出行创新领域的主导地位。远端资讯处理系统、进阶驾驶辅助系统 (ADAS) 和连网汽车网路的广泛应用,持续推动对先进保护机制的需求。此外,严格的法规结构和日益增长的资料保护意识,也推动了网路安全领域的持续投资。这些因素共同巩固了北美在全球连网安全解决方案市场的主导地位。
在预测期内,亚太地区预计将呈现最高的复合年增长率,这主要得益于技术进步的加速和汽车生态系统的扩张。该地区在智慧运输计划、数位基础设施以及支援互联交通系统的下一代通讯网路方面投入庞大。电动车和联网汽车产量的不断增长,也加速了对强大网路安全框架的需求。此外,鼓励创新和数位转型的监管环境,也促进了这些技术的广泛应用。随着人们对网路风险的认识不断提高以及出行网路的扩展,亚太地区在全球互联出行安全市场展现出巨大的成长潜力。
According to Stratistics MRC, the Global Connected Mobility Security Solutions Market is accounted for $4.83 billion in 2026 and is expected to reach $32.74 billion by 2034 growing at a CAGR of 27.0% during the forecast period. Connected Mobility Security Solutions are designed to defend modern transportation networks against cyber risks as vehicles become digitally interconnected. With the adoption of IoT devices, telematics systems, vehicle-to-everything communication, cloud integration, and remote software updates, robust cybersecurity measures are essential to maintain safety and operational continuity. These systems employ encryption protocols, intrusion detection tools, secure communication gateways, identity verification mechanisms, endpoint safeguards, and continuous threat surveillance. Leveraging artificial intelligence and predictive analytics, they identify vulnerabilities and block malicious activities.
According to the U.S. National Highway Traffic Safety Administration (NHTSA), connected vehicle technologies could prevent up to 80% of crashes involving non-impaired drivers if fully implemented, underscoring the critical role of secure Vehicle-to-Everything (V2X) communication.
Rising cybersecurity threats in connected vehicles
Increasing cyber risks targeting digitally enabled vehicles are a major catalyst for the connected mobility security solutions market. With vehicles now dependent on cloud platforms, telematics systems, V2X networks, and remote software updates, potential attack surfaces have expanded considerably. Cyber intrusions can endanger passengers, expose confidential information, and interfere with operational performance. Growing awareness of automotive hacking incidents has encouraged manufacturers and mobility providers to strengthen their cybersecurity posture. This environment compels stakeholders to deploy advanced encryption technologies, threat detection mechanisms, and real-time surveillance systems to safeguard connected transportation infrastructures effectively.
High implementation and maintenance costs
Significant financial requirements associated with deploying and sustaining connected mobility security systems hinder market expansion. Integrating advanced cybersecurity measures involves investment in specialized components, secure communication frameworks, and monitoring technologies, increasing development expenditures. Beyond installation, continuous system upgrades, vulnerability testing, and expert workforce support add to recurring expenses. Smaller automotive firms and fleet managers may struggle to allocate sufficient resources for comprehensive cybersecurity programs. Cost sensitivity in emerging markets further restricts adoption rates.
Growth of autonomous and software-defined vehicles
The emergence of self-driving and software-centric vehicles generates promising prospects for connected mobility cybersecurity providers. Autonomous systems depend extensively on artificial intelligence, cloud integration, and constant data transmission to ensure operational reliability. As vehicles become more automated, potential vulnerabilities affecting sensors, navigation controls, and digital networks intensify. This environment encourages the deployment of sophisticated threat detection tools, encrypted communication channels, and proactive surveillance technologies. Automotive manufacturers are embedding security mechanisms directly into vehicle architectures to safeguard essential operations.
Rapid evolution of sophisticated cyberattacks
An increasing wave of highly advanced cyber threats poses a serious risk to the connected mobility security solutions market. Cybercriminals are leveraging innovative tactics, including artificial intelligence-powered malware and undiscovered software vulnerabilities, to infiltrate digital vehicle systems. Because connected mobility platforms manage critical operations and sensitive information, they are attractive targets for malicious actors. Defensive mechanisms often struggle to keep pace with the speed of evolving attack strategies. If security systems fail to adapt quickly, organizations may experience severe data breaches and operational disruptions.
The outbreak of COVID-19 produced both short-term challenges and long-term growth prospects for the connected mobility security solutions market. During the early stages, factory shutdowns, logistical disruptions, and declining automobile demand led companies to defer cybersecurity spending. Budget constraints slowed certain innovation initiatives. Nevertheless, the pandemic accelerated the shift toward digital platforms, remote monitoring, and cloud-integrated vehicle services. Increased dependence on over-the-air updates and contactless mobility solutions exposed new cyber risks. As organizations recognized these vulnerabilities, they intensified investments in advanced cybersecurity systems.
The telematics security solutions segment is expected to be the largest during the forecast period
The telematics security solutions segment is expected to account for the largest market share during the forecast period, primarily driven by the extensive integration of telematics technologies in modern transportation systems. These platforms support vehicle tracking, performance analytics, predictive maintenance, and cloud-based data sharing, forming the backbone of connected vehicle infrastructure. Because telematics systems handle continuous streams of critical and location-based information, robust cybersecurity measures are essential to prevent breaches and unauthorized access. The rapid expansion of fleet management services, connected insurance programs, and smart logistics operations amplifies the need for secure telematics frameworks, reinforcing this segment's leading position in the overall market.
The artificial intelligence (AI) segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the artificial intelligence (AI) segment is predicted to witness the highest growth rate, primarily because of its ability to enhance proactive cyber defense strategies. AI-driven platforms process extensive datasets from vehicles and digital networks to uncover unusual behavior patterns and emerging threats instantly. Unlike conventional security methods, intelligent algorithms continuously learn and adapt to new attack techniques. This capability supports automated responses, improved accuracy in threat identification, and real-time risk mitigation. As connected transportation systems become more complex and data-intensive, reliance on AI-based cybersecurity solutions increases significantly, fueling its strong growth trajectory in the market.
During the forecast period, the North America region is expected to hold the largest market share due to its mature automotive sector and well-established digital infrastructure. The presence of major vehicle manufacturers, cybersecurity technology developers, and cloud platform providers strengthens the region's leadership in secure mobility innovation. Widespread deployment of telematics systems, advanced driver assistance technologies, and connected vehicle networks drives consistent demand for sophisticated protection mechanisms. Furthermore, strict regulatory frameworks and heightened concerns regarding data protection promote ongoing cybersecurity investments. Together, these elements secure North America's leading position in the global connected mobility security solutions landscape.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by accelerating technological advancement and expanding automotive ecosystems. The region is witnessing strong investments in smart mobility projects, digital infrastructure, and next-generation communication networks that support connected transportation systems. Increasing production of electric and connected vehicles amplifies the need for advanced cybersecurity frameworks. Furthermore, regulatory encouragement for innovation and digital transformation supports widespread technology adoption. With rising awareness of cyber risks and expanding mobility networks, Asia-Pacific demonstrates significant growth potential within the global connected mobility security landscape.
Key players in the market
Some of the key players in Connected Mobility Security Solutions Market include AUMOVIO, BlackBerry Limited, Vector Informatik GmbH, Harman International, KPIT Technologies, ARM, NXP Semiconductors, Secunet Security Networks, Intertek, Keysight Technologies, Karamba Security, Siemens, GuardKnox, Continental AG, Denso Corporation, Aptiv Plc, Argus Cyber Security and Upstream Security
In December 2025, Harman International has agreed to acquire the ADAS business of ZF Group for €1.5 billion. The move strengthens HARMAN's position in software-defined vehicles by bringing safety, assisted driving and in-cabin experiences onto a single, centralised vehicle computing platform.
In November 2025, Siemens Energy has signed a contract to design and deliver the power conversion system for Oklo's Aurora powerhouse reactors. The contract will see Siemens Energy conduct detailed engineering and layout activities for a condensing SST-600 steam turbine, an SGen-100A industrial generator, and associated auxiliaries to support Oklo's first advanced reactor, the Aurora powerhouse at Idaho National Laboratory.
In February 2025, NXP Semiconductors has acquired AI chip startup Kinara in a $307 million all-cash agreement. NXP said the acquisition would enable it to "enhance and strengthen" its ability to provide scalable AI platforms by combining Kinara's NPUs and AI software with NXP's solutions portfolio. Kinara develops programmable neural processing units (NPUs) for Edge AI applications, including multi-modal generative AI models.
Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.