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市场调查报告书
商品编码
1622969
2024 年至 2031 年殭尸网路侦测市场(按组件、部署、公司规模、最终用户垂直领域和地区划分)Botnet Detection Market by Component, Deployment, Enterprise Size, End-User Industry, & Region for 2024-2031 |
网路威胁的增加以及日益互联的数位环境中对先进安全解决方案的需求不断增加,推动了殭尸网路侦测市场的发展。据 Verified Market Research 分析师称,殭尸网路检测市场预计在 2024 年将达到约 10.2 亿美元,到 2031 年预计将达到 273.3 亿美元的估值。
许多行业的连网装置的增加以及对网路安全的担忧正在推动殭尸网路侦测市场的发展。这将促使市场从 2024 年到 2031 年的复合年增长率达到 50.7%。
殭尸网路侦测市场定义/概述
殭尸网路侦测是识别和消除被骇客入侵的电脑网路(称为殭尸网路)的过程,这些电脑网路会远端操作以执行恶意活动,例如发送垃圾邮件、窃取资料或执行拒绝服务攻击。此检测使用多种技术,包括网路流量分析、基于签章的侦测和机器学习演算法来识别显示殭尸网路活动的异常模式。殭尸网路侦测应用程式在金融、医疗保健和电子商务等各个行业中发挥着至关重要的作用。殭尸网路侦测应用程式透过防止未经授权的存取和减轻潜在的网路威胁,帮助保护敏感资讯、维护操作完整性并遵守监管要求。
网路攻击(尤其是涉及殭尸网路的攻击)频率不断增加,是殭尸网路侦测市场的主要驱动力。根据美国联邦调查局网路犯罪投诉中心 (IC3) 2023 年网路犯罪报告,通报的网路犯罪将在 2022 年至 2023 年间增加 7%,其中殭尸网路相关攻击将占所有通报事件的 18%。分析预测,光是 2023 年,殭尸网路相关攻击就会对企业和消费者造成超过 42 亿美元的损失。
物联网 (IoT) 设备的成长产生了殭尸网路可以利用的新漏洞。根据国际数据公司(IDC)的研究,到2025年,全球物联网设备数量将达到416亿,产生79.4ZB的数据。连网设备的快速扩张扩大了殭尸网路的潜在攻击面,因此需要侦测解决方案。美国国家标准与技术研究所(NIST)估计,2021年至2023年间,与物联网相关的殭尸网路攻击将增加35%。
此外,政府和监管机构正在不断加强网路安全要求,迫使企业投资殭尸网路侦测等先进的安全解决方案。例如,2023年生效的欧盟网路和资讯安全(NIS2)指令要求加强关键基础设施的网路安全保护措施。根据欧盟网路安全局(ENISA)的一项调查,72%的公司表示为应对NIS2已经增加了网路安全预算,其中45%的公司专注于殭尸网路侦测技术。
殭尸网路的发展对侦测技术提出了重大课题。网路犯罪分子不断开发新策略来逃避侦测系统,包括多态性和分散式设计。这种复杂的技术需要检测演算法的不断创新,现有的解决方案很难跟上。因此,许多组织难以识别和缓解最新的殭尸网路攻击,从而降低了侦测工作的整体效能。
此外,殭尸网路侦测系统的高误报率导致安全从业人员产生警报疲劳。当合法活动被错误地识别为威胁时,它会降低您的团队检测真正安全问题的能力。这种困难促使人们需要加强提高侦测准确性,同时限制误报,但这可能会导致错失处理真正的殭尸网路攻击的机会,并危及组织的整体安全态势。
The increasing demand for sophisticated security solutions in an increasingly linked digital environment, along with the rise in cyber threats, is driving the botnet detection market. According to the analyst from Verified Market Research, the botnet detection market is estimated to reach a valuation of USD 27.33 Billion By 2031 over the forecast subjugating around USD 1.02 Billion valued in 2024.
The growing number of connected devices in many industries and concerns about cybersecurity are driving the botnet detection market. It enables the market to grow at aCAGR of 50.7% from 2024 to 2031.
Botnet Detection Market: Definition/ Overview
Botnet detection is the process of recognizing and neutralizing networks of hacked computers, known as botnets, that are remotely controlled to carry out malicious actions like spamming, data theft, and denial-of-service assaults. This detection uses a variety of techniques, including network traffic analysis, signature-based detection, and machine learning algorithms, to identify anomalous patterns suggestive of botnet activity. Botnet detection applications are critical in a variety of industries, including finance, healthcare, and e-commerce, as they help protect sensitive information, maintain operational integrity, and comply with regulatory requirements by preventing unauthorized access and mitigating potential cyber threats.
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The growing frequency of cyberattacks, particularly those involving botnets, is a significant driver of the botnet detection market. According to the FBI's Internet Crime Complaint Center (IC3) 2023 Internet Crime Report, the number of reported cybercrimes rose by 7% between 2022 and 2023, with botnet-related attacks accounting for 18% of all reported events. The analysis projects that botnet-driven attacks cost businesses and consumers more than USD 4.2 Billion in 2023 alone.
The expansion of Internet of Things (IoT) devices has produced new vulnerabilities for botnets to exploit. According to a study conducted by the International Data Corporation (IDC), the number of IoT devices worldwide will reach 41.6 billion by 2025, creating 79.4 zettabytes. This rapid expansion in connected devices broadens the potential attack surface for botnets, generating the need for detection solutions. The US National Institute of Standards and Technology (NIST) estimated a 35% increase in IoT-related botnet assaults between 2021 and 2023.
Furthermore, governments and regulatory bodies are enforcing stronger cybersecurity requirements, forcing businesses to invest in advanced security solutions like botnet detection. For example, the European Union's Network and Information Security (NIS2) Directive, which took effect in 2023, requires enhanced cybersecurity safeguards for vital infrastructure. According to a survey conducted by the European Union Agency for Cybersecurity (ENISA), 72% of firms reported raising their cybersecurity budgets to comply with NIS2, with 45% focusing on botnet detection technologies.
The evolution of botnets presents a considerable challenge to detection technology. Cybercriminals are always developing new strategies to avoid detection systems, such as polymorphism and decentralized designs. These intricate techniques necessitate ongoing innovation in detection algorithms, making it challenging for existing solutions to keep up. As a result, many businesses struggle to identify and combat the most recent botnet attacks, reducing the overall effectiveness of detection efforts.
Furthermore, high rates of false positives in botnet detection systems cause alert fatigue among security personnel. When legitimate activities are wrongly identified as threats, the team's ability to detect genuine security issues suffers. This difficulty increases the effort of increasing detection accuracy while limiting false warnings, perhaps resulting in missed opportunities to handle true botnet assaults and undermining the overall security posture of organizations.
According to VMR analysis, the solution segment is estimated to hold the largest market share during the forecast period. The emergence of sophisticated cyber threats, particularly botnets, has increased the need for robust detection methods. To address these challenges, organizations are expanding their investment in innovative technologies such as machine learning and behavioral analysis. This proactive approach to security is causing a huge increase in the usage of botnet detection technologies, hence strengthening their market leadership.
As regulatory frameworks become increasingly stringent, firms must use strong security measures to ensure compliance. Botnet detection solutions assist reduce the risks connected with data breaches and cyberattacks, ultimately safeguarding sensitive information. This need for compliance motivates enterprises to prioritize the adoption of detection solutions, which contributes to the segment's market dominance.
Furthermore, botnet detection solutions have become more effective and efficient as technology has advanced, such as cloud computing and artificial intelligence. These advancements allow for real-time monitoring and rapid response to possible risks, making solutions more appealing to enterprises. As enterprises attempt to use these technologies to improve security, the solutions category is poised to maintain its market leadership.
The banking, financial services, and insurance (BFSI) segment is estimated to dominate the botnet detection market during the forecast period. The sensitive nature of financial data makes the BFSI sector a prime target for cybercriminals. The increasing frequency of botnet attacks, including account takeovers and fraudulent transactions, needs powerful detection systems to preserve assets and retain consumer trust, resulting in a major investment in botnet detection technology.
Financial institutions are subject to severe rules requiring the protection of consumer data and financial transactions. Compliance with these standards necessitates advanced botnet detection systems to identify and neutralize possible threats, reinforcing the BFSI segment's market dominance as firms prioritize security to meet regulatory requirements.
Furthermore, the BFSI sector processes large amounts of transactions regularly, making it more vulnerable to automated botnet attacks. The necessity for real-time monitoring and detection to protect these transactions from fraudulent activity fuels the demand for sophisticated botnet detection systems, cementing the segment's market leadership.
According to VMR analyst, North America is estimated to dominate the botnet detection market during the forecast period. North America, particularly the United States, has a high concentration of technology businesses and key infrastructure targets, making it an ideal target for botnet attacks. According to the United States Cybersecurity and Infrastructure Security Agency (CISA), there was a 47% increase in botnet assaults targeting critical infrastructure sectors in North America between 2021 and 2023. According to the paper, the energy industry alone had over 23,000 botnet-related occurrences in 2023, underlining the region's critical need for comprehensive botnet detection technologies.
The installation of rigorous data protection legislation in North America has accelerated the use of advanced cybersecurity solutions, such as botnet detection systems. The California Consumer Privacy Act (CCPA) and its amendment, the California Privacy Rights Act (CPRA), have established new data protection regulations. According to a survey conducted by the International Association of Privacy Professionals (IAPP), 89% of US businesses boosted their cybersecurity budgets in 2023 to comply with these requirements, with 62% focusing on botnet detection technologies.
Furthermore, the financial industry in North America has been particularly vulnerable to botnet attacks, increasing demand for detection systems. The Federal Bureau of Investigation's Internet Crime Complaint Center (IC3) stated that botnet-related financial crimes in North America cost more than $2.7 billion in 2023, a 35% increase over the previous year. According to a survey conducted by the Financial Services Information Sharing and Analysis Center (FS-ISAC), 78% of regional financial institutions have implemented or upgraded their botnet detection systems in response to the considerable financial impact.
The Asia Pacific region is estimated to exhibit the highest growth within the market during the forecast period. The Asia Pacific region is experiencing a fast digital transformation, increasing internet users and linked gadgets. The International Telecommunication Union (ITU) estimates that internet penetration in the Asia Pacific region rose from 48.4% in 2019 to 64.1% in 2023. According to the Asia Pacific Computer Emergency Response Team (APCERT), botnet attacks in the region increased by 53% between 2021 and 2023. The growing threat scenario is pushing up demand for botnet detection technologies.
The Asia Pacific region has experienced substantial growth in e-commerce and digital payment acceptance, making it an appealing target for hackers. According to a report from the Asian Development Bank (ADB), e-commerce transactions in the region increased by 25% each year between 2020 and 2023, reaching USD 2.5 Trillion in 2023. This expansion has been matched by a 40% surge in botnet-driven financial fraud efforts, according to the Financial Services Information Sharing and Analysis Center (FS-ISAC) Asia Pacific. The requirement to protect these transactions is driving the botnet detection market.
Furthermore, governments around the Asia Pacific are enforcing stronger cybersecurity legislation, which is pushing the adoption of advanced security solutions. For example, China's Cybersecurity Law and India's Personal Data Protection Bill have established new criteria for data protection and network security. According to a poll conducted by the Asia Pacific Network Information Centre (APNIC), 68% of firms in the region boosted their cybersecurity spending in 2023 to comply with these laws, with 55% focusing on botnet detection technologies. The poll also found a 37% year-on-year growth in the adoption of botnet detection technologies between 2022 and 2023.
The botnet detection market's competitive landscape is characterized by a varied range of players using a variety of techniques to gain market share. Key trends include a push for advanced technologies like machine learning and fingerprinting to improve detection capabilities against increasingly complex bot attacks.
Some of the prominent players operating in the botnet detection market include:
Akamai Technologies
PerimeterX
Cloudflare
Imperva
DATADOME
McAfee
Cisco
Rapid7
Crowdstrike
Palo Alto Networks
In November 2023, the FritzFrog botnet reappeared, targeting over 500 government and enterprise SSH servers. Akamai Technologies has classified it as a "next-generation" botnet, employing advanced techniques such as decentralized architecture and continuous updates, emphasizing the critical need for improved botnet detection tools to tackle increasingly sophisticated cyber threats.