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市場調查報告書
商品編碼
1622969
2024 年至 2031 年殭屍網路偵測市場(按組件、部署、公司規模、最終用戶垂直領域和地區劃分)Botnet Detection Market by Component, Deployment, Enterprise Size, End-User Industry, & Region for 2024-2031 |
網路威脅的增加以及日益互聯的數位環境中對先進安全解決方案的需求不斷增加,推動了殭屍網路偵測市場的發展。據 Verified Market Research 分析師稱,殭屍網路檢測市場預計在 2024 年將達到約 10.2 億美元,到 2031 年預計將達到 273.3 億美元的估值。
許多行業的連網裝置的增加以及對網路安全的擔憂正在推動殭屍網路偵測市場的發展。這將促使市場從 2024 年到 2031 年的複合年增長率達到 50.7%。
殭屍網路偵測市場定義/概述
殭屍網路偵測是識別和消除被駭客入侵的電腦網路(稱為殭屍網路)的過程,這些電腦網路會遠端操作以執行惡意活動,例如發送垃圾郵件、竊取資料或執行拒絕服務攻擊。此檢測使用多種技術,包括網路流量分析、基於簽章的偵測和機器學習演算法來識別顯示殭屍網路活動的異常模式。殭屍網路偵測應用程式在金融、醫療保健和電子商務等各個行業中發揮著至關重要的作用。殭屍網路偵測應用程式透過防止未經授權的存取和減輕潛在的網路威脅,幫助保護敏感資訊、維護操作完整性並遵守監管要求。
網路攻擊(尤其是涉及殭屍網路的攻擊)頻率不斷增加,是殭屍網路偵測市場的主要驅動力。根據美國聯邦調查局網路犯罪投訴中心 (IC3) 2023 年網路犯罪報告,通報的網路犯罪將在 2022 年至 2023 年間增加 7%,其中殭屍網路相關攻擊將佔所有通報事件的 18%。分析預測,光是 2023 年,殭屍網路相關攻擊就會對企業和消費者造成超過 42 億美元的損失。
物聯網 (IoT) 設備的成長產生了殭屍網路可以利用的新漏洞。根據國際數據公司(IDC)的研究,到2025年,全球物聯網設備數量將達到416億,產生79.4ZB的數據。連網設備的快速擴張擴大了殭屍網路的潛在攻擊面,因此需要偵測解決方案。美國國家標準與技術研究所(NIST)估計,2021年至2023年間,與物聯網相關的殭屍網路攻擊將增加35%。
此外,政府和監管機構正在不斷加強網路安全要求,迫使企業投資殭屍網路偵測等先進的安全解決方案。例如,2023年生效的歐盟網路和資訊安全(NIS2)指令要求加強關鍵基礎設施的網路安全保護措施。根據歐盟網路安全局(ENISA)的一項調查,72%的公司表示為應對NIS2已經增加了網路安全預算,其中45%的公司專注於殭屍網路偵測技術。
殭屍網路的發展對偵測技術提出了重大課題。網路犯罪分子不斷開發新策略來逃避偵測系統,包括多態性和分散式設計。這種複雜的技術需要檢測演算法的不斷創新,現有的解決方案很難跟上。因此,許多組織難以識別和緩解最新的殭屍網路攻擊,從而降低了偵測工作的整體效能。
此外,殭屍網路偵測系統的高誤報率導致安全從業人員產生警報疲勞。當合法活動被錯誤地識別為威脅時,它會降低您的團隊檢測真正安全問題的能力。這種困難促使人們需要加強提高偵測準確性,同時限制誤報,但這可能會導致錯失處理真正的殭屍網路攻擊的機會,並危及組織的整體安全態勢。
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.