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市場調查報告書
商品編碼
1979973
互聯行動安全解決方案市場預測至2034年:按產品類型、連接類型、技術、應用、最終用戶和地區分類的全球分析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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根據 Stratistics MRC 的研究,預計到 2026 年,全球互聯行動安全解決方案市場規模將達到 48.3 億美元,在預測期內以 27.0% 的複合年成長率成長,到 2034 年將達到 327.4 億美元。
隨著車輛數位化互聯程度的提高,互聯出行安全解決方案旨在保護現代交通網路免受網路風險的侵害。隨著物聯網設備、遠端資訊處理系統、車聯網(V2X)、雲端整合和遠端軟體更新的日益普及,強大的網路安全措施對於維護安全性和營運連續性至關重要。這些系統採用加密通訊協定、入侵偵測工具、安全通訊閘道、身分驗證機制、終端保護和持續威脅監控。人工智慧和預測分析技術被用於識別漏洞並阻止惡意活動。
根據美國國家公路交通安全管理局 (NHTSA) 的說法,聯網汽車技術的全面實施有可能預防高達 80% 的合格駕駛員造成的事故,這凸顯了安全 V2X(車聯網)通訊的重要性。
聯網汽車面臨的網路安全威脅日益增加
針對數位化車輛日益成長的網路風險是推動互聯出行安全解決方案市場發展的主要動力。隨著車輛越來越依賴雲端平台、遠端資訊處理系統、V2X網路和遠端軟體更新,潛在的攻擊面顯著擴大。網路入侵可能威脅乘客安全、洩漏敏感資訊並擾亂車輛運作。鑑於人們對汽車駭客攻擊事件的日益關注,製造商和旅遊服務提供者正在努力提升網路安全防護能力。在此背景下,相關人員需要部署先進的加密技術、威脅偵測機制和即時監控系統,以有效保護互聯交通基礎架構。
高昂的實施和維修成本
部署和維護互聯出行安全系統所需的大量資金是市場擴張的一大障礙。整合先進的網路安全措施需要投資於專用組件、安全通訊框架和監控技術,從而增加了開發成本。部署後,持續的成本包括系統升級、漏洞測試和專家支援。中小型汽車製造商和車隊管理者可能難以分配足夠的資源來實施全面的網路安全計畫。新興市場對成本的高度敏感度進一步限制了系統的採用率。
自動駕駛汽車和軟體定義汽車的成長
自動駕駛和軟體驅動型汽車的興起,為互聯出行網路安全供應商帶來了充滿希望的前景。自動駕駛系統高度依賴人工智慧、雲端整合和持續資料傳輸來確保運作可靠性。隨著車輛自動化程度的提高,影響感測器、導航控制和數位網路的潛在漏洞也日益嚴重。這種環境推動了先進威脅偵測工具、加密通訊通道和主動監控技術的應用。汽車製造商正在將安全機制直接整合到車輛架構中,以保護關鍵運作。
網路攻擊日益複雜化的快速演變
網路威脅日益複雜化,對互聯出行安全解決方案市場構成嚴重威脅。網路犯罪分子正利用人工智慧驅動的惡意軟體和未被發現的軟體漏洞等創新手段,滲透到數位車輛系統中。互聯出行平台管理關鍵營運和敏感訊息,因此成為惡意攻擊者的理想目標。防禦機制往往難以跟上不斷演變的攻擊策略。如果安全系統無法快速適應,企業可能會遭受嚴重的資料外洩和業務中斷。
新冠疫情的爆發為互聯出行安全解決方案市場帶來了短期挑戰和長期成長機會。初期,工廠停工、物流中斷和車輛需求下降迫使企業推遲網路安全的支出,預算限制也延緩了部分創新計畫的實施。然而,疫情加速了數位化平台、遠端監控和雲端整合車輛服務的轉型。對空中下載 (OTA) 更新和非接觸式旅遊解決方案的日益依賴,也使新的網路風險凸顯出來。隨著各組織意識到這些漏洞,它們正在加大對先進網路安全系統的投入。
在預測期內,遠端資訊處理安全解決方案領域預計將佔據最大的市場佔有率。
預計在預測期內,車載資訊安全解決方案領域將佔據最大的市場佔有率。這主要得益於車載資訊科技在現代交通系統中的廣泛應用。這些平台支援車輛追蹤、性能分析、預測性維護和基於雲端的數據共用,構成了聯網汽車基礎設施的基礎。由於車載資訊系統處理持續的資訊流,包括關鍵的位置數據,因此強大的網路安全措施對於防止資料外洩和未授權存取至關重要。車隊管理服務、互聯保險計劃和智慧物流運營的快速發展,進一步凸顯了對安全車載資訊框架的需求,從而鞏固了該領域在整體市場中的主導地位。
在預測期內,人工智慧(AI)領域預計將呈現最高的複合年成長率。
在預測期內,人工智慧 (AI) 領域預計將呈現最高的成長率。這主要歸功於 AI 能夠增強主動式網路防禦策略。 AI 驅動的平台能夠處理來自車輛和數位網路的大量資料集,即時偵測異常行為模式和新興威脅。與傳統安全方法不同,智慧演算法能夠持續學習並適應新的攻擊技術。這種能力可以實現自動化回應、提高威脅識別準確率並即時緩解風險。隨著互聯交通系統日益複雜且資料密集,對基於 AI 的網路安全解決方案的依賴性顯著增強,從而推動了其市場強勁成長。
在整個預測期內,北美預計將憑藉其成熟的汽車產業和完善的數位基礎設施,保持最大的市場佔有率。主要汽車製造商、網路安全技術開發人員和雲端平台供應商的存在,鞏固了該地區在安全出行創新領域的主導地位。遠端資訊處理系統、進階駕駛輔助系統 (ADAS) 和連網汽車網路的廣泛應用,持續推動對先進保護機制的需求。此外,嚴格的法規結構和日益成長的資料保護意識,也推動了網路安全領域的持續投資。這些因素共同鞏固了北美在全球連網安全解決方案市場的主導地位。
在預測期內,亞太地區預計將呈現最高的複合年成長率,這主要得益於技術進步的加速和汽車生態系統的擴張。該地區在智慧運輸計劃、數位基礎設施以及支援互聯交通系統的下一代通訊網路方面投入龐大。電動車和聯網汽車產量的不斷成長,也加速了對強大網路安全框架的需求。此外,鼓勵創新和數位轉型的監管環境,也促進了這些技術的廣泛應用。隨著人們對網路風險的認知不斷提高以及出行網路的擴展,亞太地區在全球互聯出行安全市場展現出巨大的成長潛力。
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.