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시장보고서
상품코드
1622969
봇넷 탐지 시장 : 컴포넌트별, 도입별, 기업 규모별, 최종사용자 산업별, 지역별(2024-2031년)Botnet Detection Market by Component, Deployment, Enterprise Size, End-User Industry, & Region for 2024-2031 |
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사이버 위협의 증가와 함께 제휴가 진행되는 디지털 환경에서 첨단 보안 솔루션에 대한 수요 증가가 봇넷 탐지 시장을 촉진하고 있습니다. Verified Market Research의 애널리스트에 따르면 봇넷 탐지 시장은 2024년 약 10억 2,000만 달러에 달할 전망이며, 2031년까지 273억 3,000만 달러의 평가액에 달할 것으로 예측됩니다.
다양한 산업 분야에서 커넥티드 디바이스 증가와 사이버 보안에 대한 우려가 봇넷 감지 시장을 주도하고 있습니다. 이로 인해 2024-2031년 연평균 50.7%의 연평균 복합 성장률(CAGR)로 시장이 성장할 것으로 예상됩니다.
봇넷 감지 시장 정의/개요
봇넷 감지는 스팸 전송, 데이터 도용, 서비스 거부 공격과 같은 악의적인 행위를 수행하기 위해 원격으로 조작되는 봇넷이라고 불리는 해킹된 컴퓨터 네트워크를 인식하고 무력화시키는 프로세스입니다. 이 감지에는 네트워크 트래픽 분석, 시그니처 기반 감지, 머신러닝 알고리즘 등 다양한 기술이 사용되어 봇넷의 활동을 암시하는 비정상적인 패턴을 식별합니다. 봇넷 감지 용도는 금융, 의료, E-Commerce 등 다양한 산업에서 중요한 역할을 하고 있습니다. 봇넷 감지 용도는 무단 액세스를 방지하고 잠재적인 사이버 위협을 줄임으로써 기밀 정보를 보호하고 업무 무결성을 유지하며 규제 요건을 준수하는 데 도움이 됩니다.
사이버 공격, 특히 봇넷과 관련된 공격 증가는 봇넷 감지 시장의 큰 원동력이 되고 있으며, FBI의 인터넷 범죄 신고센터(IC3)의 2023 인터넷 범죄 보고서에 따르면 사이버 범죄 신고 건수는 2022-2023년에 7% 증가하며, 봇넷 관련 공격은 전체 보고된 사건의 18%를 차지하고 있습니다. 보고서는 봇넷 공격으로 인한 기업 및 소비자 피해액이 2023년에만 42억 달러 이상에 달할 것으로 예상했습니다.
사물인터넷(IoT) 기기의 확대는 봇넷이 악용할 수 있는 새로운 취약점을 만들어냈습니다. IDC(International Data Corporation)의 조사에 따르면 2025년까지 전 세계 IoT 기기 수는 416억 대에 달하며, 79.4제타바이트의 데이터를 생성할 것으로 예상됩니다. 이처럼 커넥티드 디바이스의 급속한 확장은 봇넷의 잠재적 공격 대상을 넓히고, 감지 솔루션의 필요성이 대두되고 있습니다. 미국 국립표준기술연구소(NIST)는 2021-2023년 IoT 관련 봇넷 공격이 35% 증가할 것으로 예상하고 있습니다.
또한 정부 및 규제기관이 사이버 보안 요건을 강화하면서 기업은 봇넷 감지와 같은 고급 보안 솔루션에 투자해야 하는 상황에 직면해 있습니다. 예를 들어 2023년 발효된 유럽연합(EU)의 네트워크 및 정보 보안(NIS2) 지침은 중요 인프라에 대한 사이버 보안 보호 조치를 강화할 것을 요구하고 있습니다. 유럽연합 사이버 보안 기관(ENISA)의 조사에 따르면 기업의 72%가 NIS2에 대응하기 위해 사이버 보안 예산을 늘렸다고 응답했으며, 그 중 45%는 봇넷 감지 기술에 집중하고 있다고 답했습니다.
봇넷의 진화는 감지 기술에 큰 도전이 되고 있습니다. 사이버 범죄자들은 다형성, 분산 설계 등 감지 시스템을 회피하기 위한 새로운 전략을 끊임없이 개발하고 있습니다. 이러한 복잡한 기법은 감지 알고리즘의 지속적인 기술 혁신을 필요로 하며, 기존 솔루션이 이를 따라잡기 어렵게 만들고 있습니다. 그 결과, 많은 기업이 최신 봇넷 공격을 식별하고 대응하는 데 어려움을 겪고 있으며, 감지 활동의 전반적인 효율성을 떨어뜨리고 있습니다.
또한 봇넷 감지 시스템의 높은 오탐률은 보안 담당자의 경보 피로도를 유발합니다. 합법적인 활동이 위협으로 잘못 인식되면 실제 보안 문제를 감지하는 팀의 능력이 저하됩니다. 이러한 어려움은 오경보를 줄이는 동시에 감지 정확도를 높이기 위한 노력을 증가시켜 진정한 봇넷 공격을 처리할 수 있는 기회를 놓치고 조직의 전반적인 보안 태세를 약화시키는 결과를 초래할 수 있습니다.
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.