세계의 봇 보안 시장은 2024년에는 7억 2,954만 달러로 평가되었으며, 예측 기간 동안 CAGR은 20.67%로, 2030년까지 22억 7,267만 달러에 달할 것으로 예측됩니다.
| 시장 개요 | |
|---|---|
| 예측 기간 | 2026-2030년 |
| 시장 규모 : 2024년 | 7억 2,954만 달러 |
| 시장 규모 : 2030년 | 22억 7,267만 달러 |
| CAGR : 2025-2030년 | 20.67% |
| 급성장 부문 | 모바일 보안 |
| 최대 시장 | 북미 |
봇 보안 시장은 웹사이트, 모바일 애플리케이션, 애플리케이션 프로그래밍 인터페이스 등 디지털 시스템을 대상으로 하는 악성 봇 트래픽을 탐지, 관리, 완화하는 데 초점을 맞춘 산업을 말합니다. 이러한 봇은 종종 사이버 범죄자들에 의해 사용되며, 크리덴셜 스터핑, 컨텐츠 스크래핑, 서비스 거부 공격, 인벤토리 호딩, 광고 사기 등의 활동을 수행하여 비즈니스 운영과 고객 신뢰에 심각한 위험을 초래합니다. 각 분야에서 디지털 전환이 가속화되면서 기업들은 고객과의 소통과 서비스 제공에 있어 온라인 플랫폼에 대한 의존도가 높아지고 있으며, 이에 따라 악성 자동화된 트래픽에 대한 공격 대상이 확대되고 있습니다.
이러한 역동적인 움직임으로 인해 인공지능, 머신러닝, 행동 분석, 리스크 스코어링을 사용하여 유해한 봇의 행동을 실시간으로 식별하고 차단하는 고도화된 봇 대응 솔루션에 대한 수요가 증가하고 있습니다. 합법적인 사용자 행동을 모방할 수 있는 인간과 유사한 '고도화된 지속형 봇'의 출현 등 봇의 고도화가 진행됨에 따라 기존의 보안 대책만으로는 충분하지 않으며, 보다 적응력 있고 지능적인 솔루션이 요구되고 있습니다. 또한, 유럽 일반 데이터 보호 규정과 각국의 사이버 보안 프레임워크 등 데이터 프라이버시 및 사이버 보안 컴플라이언스 관련 규제 압력이 증가함에 따라 기업들은 온라인 방어를 강화해야 하는 상황에 직면해 있습니다.
은행 및 금융 서비스, 소매 및 E-Commerce, 미디어 및 엔터테인먼트, 여행 및 숙박 등 주요 분야는 디지털 자산과 민감한 고객 데이터의 가치가 높아 봇 보안 도입의 최전선에 서 있습니다. 또한, 클라우드 기반 도입 모델과 기존 웹 애플리케이션 방화벽 및 컨텐츠 전송 네트워크와의 통합을 통해 봇 보안 솔루션은 모든 규모의 조직에서 보다 쉽게 사용할 수 있고 확장성이 뛰어납니다.
전략적 파트너십, 제품 혁신, 사이버 보안 인프라에 대한 투자 증가도 시장 성장에 기여하고 있습니다. 위협 주체가 계속 진화하는 가운데, 봇 보안 시장은 디지털화되는 세계 경제에서 능동적이고 지능적인 실시간 방어 메커니즘에 대한 중요한 요구로 인해 지속적으로 확대될 것으로 예상됩니다.
봇에 의한 사이버 공격의 고도화
복잡해지는 봇 공격과 탐지 한계
봇 탐지 분야에서 인공지능과 머신러닝의 통합이 증가하고 있습니다.
Global Bot Security Market was valued at USD 729.54 million in 2024 and is expected to reach USD 2272.67 million by 2030 with a CAGR of 20.67% during the forecast period.
| Market Overview | |
|---|---|
| Forecast Period | 2026-2030 |
| Market Size 2024 | USD 729.54 Million |
| Market Size 2030 | USD 2272.67 Million |
| CAGR 2025-2030 | 20.67% |
| Fastest Growing Segment | Mobile Security |
| Largest Market | North America |
The Bot Security Market refers to the industry focused on detecting, managing, and mitigating malicious bot traffic that targets digital systems, including websites, mobile applications, and application programming interfaces. These bots are often used by cybercriminals to conduct activities such as credential stuffing, content scraping, denial-of-service attacks, inventory hoarding, and ad fraud, posing severe risks to both business operations and customer trust. As digital transformation accelerates across sectors, organizations are increasingly relying on online platforms for customer engagement and service delivery, creating a broader attack surface for malicious automated traffic.
This dynamic is driving heightened demand for advanced bot protection solutions that use artificial intelligence, machine learning, behavioral analysis, and risk scoring to identify and block harmful bot behavior in real time. The rising sophistication of bots, including the emergence of human-like "advanced persistent bots" that can mimic legitimate user behavior, has made traditional security measures insufficient, necessitating more adaptive and intelligent solutions. In addition, growing regulatory pressure related to data privacy and cybersecurity compliance, such as the General Data Protection Regulation in Europe and various national cybersecurity frameworks, is compelling enterprises to strengthen their online defenses.
Key sectors such as banking and financial services, retail and e-commerce, media and entertainment, and travel and hospitality are at the forefront of bot security adoption due to the high value of digital assets and sensitive customer data. Furthermore, cloud-based deployment models and integration with existing web application firewalls and content delivery networks are making bot security solutions more accessible and scalable for organizations of all sizes.
Strategic partnerships, product innovation, and rising investments in cybersecurity infrastructure are also contributing to market growth. As threat actors continue to evolve their tactics, the Bot Security Market is expected to witness sustained expansion, driven by the critical need for proactive, intelligent, and real-time defense mechanisms in an increasingly digitized global economy.
Key Market Drivers
Escalating Sophistication of Bot-Driven Cyberattacks
The Bot Security Market is experiencing robust growth due to the escalating sophistication of bot-driven cyberattacks, which pose significant threats to organizations across various sectors. Malicious bots, including those used for credential stuffing, data scraping, and distributed denial-of-service (DDoS) attacks, have become increasingly advanced, leveraging artificial intelligence (AI) and machine learning to evade traditional security measures. These bots target vulnerabilities in websites, mobile applications, and APIs, aiming to steal sensitive data, disrupt services, or perpetrate fraud. Industries such as e-commerce, financial services, and healthcare are particularly vulnerable, as bots exploit customer-facing platforms to execute account takeovers or manipulate transactions.
The rise of botnets, coordinated networks of compromised devices, amplifies the scale and impact of these attacks, making robust bot security solutions critical. Organizations are investing heavily in advanced bot detection and mitigation technologies, such as AI-driven behavioral analysis and real-time threat intelligence, to counter these evolving threats. The need to protect digital assets, maintain customer trust, and ensure operational continuity drives demand for comprehensive bot security platforms that offer scalability and adaptability. Cloud-based bot security solutions are gaining traction due to their flexibility and ability to integrate with existing cybersecurity frameworks, enabling organizations to respond swiftly to new attack vectors.
The increasing reliance on digital channels, coupled with the growing complexity of bot attacks, underscores the importance of proactive bot management strategies. For instance, e-commerce platforms use bot security to prevent inventory hoarding by bots during peak shopping seasons, while financial institutions deploy these solutions to safeguard online banking services. Regulatory pressures, such as GDPR and CCPA, further compel organizations to adopt bot security measures to protect consumer data and avoid penalties. As cybercriminals continue to innovate, the Bot Security Market is poised for sustained growth, driven by the urgent need to combat sophisticated bot-driven threats and secure digital ecosystems.
In 2024, malicious bot traffic accounted for approximately 42% of global internet traffic, a 12% increase from 2023. Over 50% of e-commerce websites reported bot-driven fraud incidents, with 35% experiencing financial losses exceeding USD1 million annually. Additionally, 60% of organizations adopting AI-based bot detection solutions reported a 40% reduction in successful attacks, according to global cybersecurity incident reports and internet traffic analytics.
Key Market Challenges
Evolving Complexity of Bot Attacks and Detection Limitations
One of the most significant challenges facing the bot security market is the increasing sophistication and diversity of malicious bot attacks. In the past, bot attacks were often rudimentary and relatively easy to detect through basic rate-limiting or CAPTCHA mechanisms. However, modern bot developers now employ advanced techniques such as headless browser automation, human behavior mimicry, and distributed infrastructure to bypass detection systems. These bots can simulate legitimate user interactions with high precision, making them extremely difficult to distinguish from genuine human traffic.
This evolution has outpaced many traditional detection and mitigation tools, resulting in a persistent gap between bot attack capabilities and security defenses. Bot management systems that rely heavily on rule-based detection often struggle to keep up with these adaptive threats, leading to high false positive or false negative rates. Furthermore, attackers frequently use machine learning algorithms to test and refine their bots against existing security protocols, making it even more challenging for organizations to maintain an effective defense.
Key Market Trends
Rising Integration of Artificial Intelligence and Machine Learning in Bot Detection
The Bot Security Market is undergoing a significant transformation with the increasing integration of artificial intelligence and machine learning technologies into bot detection and mitigation systems. Traditional security mechanisms such as rule-based firewalls or static analysis often fall short in identifying evolving bot threats, especially those driven by sophisticated automation and human-like behaviors. As a result, solution providers are embedding adaptive algorithms that continuously learn from traffic behavior patterns and automatically refine detection accuracy.
Artificial intelligence-driven bot mitigation tools can analyze vast volumes of user traffic in real time and differentiate between legitimate users and malicious bots based on contextual understanding. These tools leverage pattern recognition, behavioral analysis, and predictive analytics to identify abnormal interactions, such as rapid click speeds, unusual navigation sequences, or repeated login attempts. Machine learning also enables early detection of zero-day attacks or new types of bots that have not yet been classified
Furthermore, the deployment of artificial intelligence-based bot mitigation is becoming more scalable and cost-effective due to cloud computing advancements. Organizations across sectors such as retail, financial services, and online media are increasingly adopting these solutions to protect digital assets, user accounts, and sensitive data from sophisticated bot attacks like credential stuffing and inventory hoarding
As the demand for real-time threat intelligence grows, artificial intelligence and machine learning will continue to play a central role in enhancing the responsiveness and precision of bot security frameworks. Solution vendors are likely to invest heavily in developing proprietary artificial intelligence models trained on industry-specific traffic datasets, thereby customizing bot protection strategies for varied operational environments. In essence, artificial intelligence and machine learning are poised to become foundational technologies in the evolution of the global Bot Security Market, creating a paradigm shift in how organizations anticipate, detect, and respond to automated cyber threats.
In this report, the Global Bot Security 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 Bot Security Market.
Global Bot Security 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: