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市场调查报告书
商品编码
1841557
网路安全防火墙市场-全球产业规模、份额、趋势、机会和预测(按组件、类型、最终用户产业、地区和竞争细分,2020-2030 年预测)Network Security Firewall Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Type, By End-User Industry, By Region & Competition, 2020-2030F |
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2024 年全球网路安全防火墙市场价值为 68.8 亿美元,预计到 2030 年将达到 162.8 亿美元,预测期内复合年增长率为 15.26%。
| 市场概况 | |
|---|---|
| 预测期 | 2026-2030 |
| 2024年市场规模 | 68.8亿美元 |
| 2030年市场规模 | 162.8亿美元 |
| 2025-2030年复合年增长率 | 15.26% |
| 成长最快的领域 | 包过滤防火墙 |
| 最大的市场 | 北美洲 |
网路安全防火墙市场是指软体产业的一个专业领域,提供旨在简化电池设计、模拟、建模、测试和製造端到端流程的数位化工具和平台。这些软体解决方案有助于精确建立电池虚拟原型,使工程师和研究人员能够优化电池性能、改进材料选择、改善热管理,并确保在开始实际生产之前符合行业标准。该软体还支援电池组组装、生命週期分析和品质控制的自动化,从而显着缩短开发週期和降低成本。随着电动车、消费性电子、再生能源和航太等产业越来越依赖先进的储能係统,对精确且可扩展的电池设计能力的需求也日益增长。由于全球碳中和监管要求以及消费者对永续交通日益增长的偏好推动电动车普及率激增,预计该市场将大幅成长。各国政府和私人企业正在大力投资电池超级工厂和储能基础设施,这增加了对设计软体的需求,以确保快速创新和生产效率。此外,固态电池和锂硅技术等电池化学技术的进步,催生了对适应性强、面向未来的软体平台的需求,这些平台能够模拟复杂的电化学行为。人工智慧和机器学习的融合也实现了预测建模、故障诊断和即时资料分析,从而提升了电池系统的可靠性和性能。此外,软体供应商和电池製造商之间的合作正在推动针对特定行业需求的客製化解决方案的开发。永续性、能源效率和创新是未来出行和电力系统的核心,网路安全防火墙市场可望强劲扩张。数位工程工具的整合、向电动车的转型以及全球对透过更智慧的能源解决方案实现脱碳的重视,都将推动网路安全防火墙市场的崛起。
网路威胁情势不断升级
网路威胁日益复杂
防火墙系统中人工智慧和机器学习的集成
The Global Network Security Firewall Market was valued at USD 6.88 billion in 2024 and is expected to reach USD 16.28 billion by 2030 with a CAGR of 15.26% during the forecast period.
| Market Overview | |
|---|---|
| Forecast Period | 2026-2030 |
| Market Size 2024 | USD 6.88 Billion |
| Market Size 2030 | USD 16.28 Billion |
| CAGR 2025-2030 | 15.26% |
| Fastest Growing Segment | Packet Filtering Firewall |
| Largest Market | North America |
The Network Security Firewall Market refers to the specialized segment of the software industry that offers digital tools and platforms designed to streamline the end-to-end processes of battery design, simulation, modeling, testing, and manufacturing. These software solutions facilitate the accurate virtual prototyping of batteries, enabling engineers and researchers to optimize battery performance, enhance material selection, improve thermal management, and ensure compliance with industry standards before initiating physical production. The software also supports automation of battery pack assembly, lifecycle analysis, and quality control, significantly reducing development cycles and costs. As industries such as electric vehicles, consumer electronics, renewable energy, and aerospace increasingly rely on advanced energy storage systems, the need for precise and scalable battery design capabilities is intensifying. This market is expected to witness substantial growth due to the surge in electric vehicle adoption driven by global regulatory mandates for carbon neutrality and growing consumer preference for sustainable transportation. Governments and private sector companies are heavily investing in battery gigafactories and energy storage infrastructure, which is increasing the demand for design software to ensure rapid innovation and production efficiency. Furthermore, advancements in battery chemistries like solid-state batteries and lithium-silicon technologies are creating the need for adaptable and future-ready software platforms that can simulate complex electrochemical behaviors. Integration with Artificial Intelligence and Machine Learning is also enabling predictive modeling, fault diagnostics, and real-time data analytics, enhancing the reliability and performance of battery systems. Additionally, collaborations between software providers and battery manufacturers are leading to the development of customized solutions tailored to specific industrial requirements. With sustainability, energy efficiency, and innovation at the core of future mobility and power systems, the Network Security Firewall Market is poised for strong expansion. Its rise will be driven by the convergence of digital engineering tools, the transition to electric mobility, and the global emphasis on decarbonization through smarter energy solutions.
Key Market Drivers
Escalating Cyber Threat Landscape
The Network Security Firewall Market is experiencing robust growth due to the escalating sophistication and frequency of cyber threats targeting organizations across industries. Advanced persistent threats (APTs), ransomware, phishing, and distributed denial-of-service (DDoS) attacks are increasingly exploiting vulnerabilities in network infrastructures, necessitating robust firewall solutions to protect sensitive data and ensure business continuity. Modern firewalls, equipped with features like intrusion prevention systems (IPS), deep packet inspection, and artificial intelligence-driven threat detection, provide real-time monitoring and mitigation of complex attacks.
As businesses expand their digital footprints through cloud adoption, remote work, and IoT integration, the attack surface widens, amplifying the need for next-generation firewalls (NGFWs) that can secure diverse network environments. This driver is critical in industries such as finance, healthcare, and retail, where data breaches can result in significant financial and reputational damage.
The rapid evolution of cybercriminal tactics, including zero-day exploits and AI-powered attacks, compels organizations to invest in advanced firewall technologies to safeguard critical assets. Additionally, the growing reliance on digital transformation initiatives underscores the importance of firewalls in maintaining secure network perimeters, driving demand for scalable, adaptive solutions that can address dynamic threat landscapes and ensure compliance with industry standards.
In 2025, global cyberattacks increased by 40%, with ransomware incidents rising by 30% compared to 2023. Over 4 billion records were exposed in data breaches in 2024. By 2027, 80% of enterprises are projected to adopt next-generation firewalls, with cybersecurity spending expected to reach USD210 billion, reflecting a 25% annual increase in demand for advanced network security solutions to combat evolving threats.
Key Market Challenges
Increasing Sophistication of Cyber Threats
One of the most significant challenges confronting the Network Security Firewall Market is the rapid evolution and increasing sophistication of cyber threats. Cyber attackers are continually developing more advanced techniques such as polymorphic malware, zero-day exploits, and advanced persistent threats that can bypass traditional firewall defenses. These advanced attack vectors often remain undetected until significant damage has already occurred, challenging the efficacy of conventional network security infrastructures.
Moreover, threat actors are leveraging artificial intelligence and machine learning to automate and refine their attacks, making them more adaptive and harder to predict. This escalating complexity demands equally advanced firewall solutions capable of deep packet inspection, behavioral analytics, and real-time anomaly detection. However, developing and deploying such intelligent firewall systems require significant investment in research and development, highly skilled personnel, and continuous updates to threat databases.
Smaller enterprises, in particular, struggle to implement these advanced solutions due to budget constraints and lack of expertise. As a result, the gap between sophisticated threats and available defense mechanisms continues to widen, posing a formidable challenge to market growth.
Key Market Trends
Integration of Artificial Intelligence and Machine Learning in Firewall Systems
The integration of Artificial Intelligence and Machine Learning technologies into firewall systems is emerging as a significant trend within the Network Security Firewall Market. Traditional firewalls relied heavily on pre-configured rules and manual monitoring, which proved insufficient in identifying sophisticated threats and zero-day vulnerabilities. However, with Artificial Intelligence and Machine Learning capabilities, firewall solutions are now evolving to deliver intelligent, adaptive, and real-time threat detection and prevention. These technologies can analyze vast volumes of network traffic data to identify anomalies, classify potential threats, and proactively respond to evolving attack patterns without human intervention.
Machine Learning algorithms enable the development of predictive models that enhance the accuracy of intrusion detection systems by learning from historical data. As cybercriminals employ increasingly advanced tactics such as polymorphic malware and coordinated botnet attacks, firewalls equipped with Artificial Intelligence can provide an essential line of defense by identifying these behaviors early and mitigating risk more effectively. Furthermore, Artificial Intelligence can automate routine tasks such as threat classification, traffic analysis, and rule updates, reducing the administrative burden on cybersecurity teams and enhancing operational efficiency.
The growing demand for these intelligent firewalls is fueled by the rapid digitization of enterprises, proliferation of Internet of Things devices, and expanding cloud infrastructure. Organizations are increasingly recognizing the need for adaptive cybersecurity frameworks that go beyond static rule-based systems. Vendors in the Network Security Firewall Market are investing heavily in research and development to integrate Artificial Intelligence and Machine Learning into their offerings, thereby enhancing their competitive edge. As cyber threats become more dynamic and complex, the continued evolution of firewalls through Artificial Intelligence and Machine Learning integration is expected to reshape the competitive landscape and drive long-term growth within the Network Security Firewall Market.
In this report, the Global Network Security Firewall Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Network Security Firewall Market.
Global Network Security Firewall Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: