机器人安全市场－全球产业规模、份额、趋势、机会和预测，按组件、安全类型、最终用户产业、地区和竞争情况细分，2020-2030 年预测

2024 年全球机器人安全市场价值为 7.2954 亿美元，预计到 2030 年将达到 22.7267 亿美元，预测期内复合年增长率为 20.67%。

机器人安全市场是指专注于侦测、管理和缓解针对数位系统（包括网站、行动应用程式和应用程式介面）的恶意机器人流量的产业。网路犯罪分子经常利用这些机器人进行凭证填充、内容抓取、拒绝服务攻击、库存囤积和广告诈欺等活动，对业务营运和客户信任构成严重风险。随着各行各业数位转型的加速，企业越来越依赖线上平台进行客户互动和服务交付，这为恶意自动化流量创造了更广泛的攻击面。

这种动态推动了对高阶机器人防护解决方案的需求不断增长，这些解决方案利用人工智慧、机器学习、行为分析和风险评分来即时识别和阻止有害的机器人行为。机器人的日益复杂化，包括能够模仿合法用户行为的类人「高级持久机器人」的出现，使得传统的安全措施已不堪重负，需要更具适应性和智慧的解决方案。此外，与资料隐私和网路安全合规性相关的监管压力日益增大，例如欧洲的《一般资料保护规范》和各国的网路安全框架，迫使企业加强其线上防御能力。

由于数位资产和敏感客户资料的价值高，银行和金融服务、零售和电子商务、媒体和娱乐以及旅游和酒店等关键行业在机器人安全应用方面处于领先地位。此外，基于云端的部署模型以及与现有网路应用程式防火墙和内容交付网路的集成，使得各种规模的组织都能够更轻鬆地存取和扩展机器人安全解决方案。

战略合作伙伴关係、产品创新以及网路安全基础设施投资的不断增加也促进了市场的成长。随着威胁行为者不断改进其攻击策略，在日益数位化的全球经济中，对主动、智慧和即时防御机制的迫切需求推动了机器人安全市场持续扩张。

关键市场驱动因素

机器人驱动的网路攻击日益复杂

主要市场挑战

机器人攻击的复杂性不断提高，侦测也面临限制

主要市场趋势

人工智慧和机器学习在机器人侦测中的融合日益增强

目录

第 1 章：产品概述

第二章：研究方法

第三章：执行摘要

第四章：顾客之声

第五章：全球机器人安全市场展望

• 市场规模和预测
  • 按价值
• 市场占有率和预测
  • 按组件（解决方案、服务）
  • 依安全性类型（Web 安全性、行动安全性、API 安全性）
  • 按最终用户产业（银行、金融服务和保险、零售和电子商务、医​​疗保健、媒体和娱乐、旅游和酒店、资讯科技和电信、政府、其他）
  • 按地区（北美、欧洲、南美、中东和非洲、亚太地区）
• 按公司分类（2024 年）
• 市场地图

第六章：北美机器人安全市场展望

• 市场规模和预测
• 市场占有率和预测
• 北美：国家分析
  • 美国
  • 加拿大
  • 墨西哥

第七章：欧洲机器人安全市场展望

• 市场规模和预测
• 市场占有率和预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太地区机器人安全市场展望

• 市场规模和预测
• 市场占有率和预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东与非洲机器人安全市场展望

• 市场规模和预测
• 市场占有率和预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿联酋
  • 南非

第十章：南美机器人安全市场展望

• 市场规模和预测
• 市场占有率和预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第 11 章：市场动态

• 驱动程式
• 挑战

第 12 章：市场趋势与发展

• 合併与收购（如有）
• 产品发布（如有）
• 最新动态

第十三章：公司简介

• Akamai Technologies, Inc.
• Imperva, Inc.
• Cloudflare, Inc.
• Radware Ltd.
• Instart Logic, Inc
• DataDome SAS
• F5, Inc.
• Cequence Security, Inc.
• Kasada Pty Ltd.
• Reblaze Technologies Ltd.

第 14 章：策略建议

第15章调查会社について・免责事项

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.

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.

Key Market Players

• Akamai Technologies, Inc.
• Imperva, Inc.
• Cloudflare, Inc.
• Radware Ltd.
• Instart Logic, Inc
• DataDome SAS
• F5, Inc.
• Cequence Security, Inc.
• Kasada Pty Ltd.
• Reblaze Technologies Ltd.

Report Scope:

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:

Bot Security Market, By Component:

• Solutions
• Services

Bot Security Market, By Security Type:

• Web Security
• Mobile Security
• API Security

Bot Security Market, By End-User Industry:

• Banking, Financial Services, and Insurance
• Retail and E-commerce
• Healthcare
• Media and Entertainment
• Travel and Hospitality
• Information Technology and Telecom
• Government
• Others

Bot Security Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
• South America
  • Brazil
  • Argentina
  • Colombia
• Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Bot Security Market.

Available Customizations:

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:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, and Trends

4. Voice of Customer

5. Global Bot Security Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Solutions, Services)
  • 5.2.2. By Security Type (Web Security, Mobile Security, API Security)
  • 5.2.3. By End-User Industry (Banking, Financial Services, and Insurance, Retail and E-commerce, Healthcare, Media and Entertainment, Travel and Hospitality, Information Technology and Telecom, Government, Others)
  • 5.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
• 5.3. By Company (2024)
• 5.4. Market Map

6. North America Bot Security Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Component
  • 6.2.2. By Security Type
  • 6.2.3. By End-User Industry
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Bot Security Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Component
      • 6.3.1.2.2. By Security Type
      • 6.3.1.2.3. By End-User Industry
  • 6.3.2. Canada Bot Security Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Component
      • 6.3.2.2.2. By Security Type
      • 6.3.2.2.3. By End-User Industry
  • 6.3.3. Mexico Bot Security Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Component
      • 6.3.3.2.2. By Security Type
      • 6.3.3.2.3. By End-User Industry

7. Europe Bot Security Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Component
  • 7.2.2. By Security Type
  • 7.2.3. By End-User Industry
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Bot Security Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Component
      • 7.3.1.2.2. By Security Type
      • 7.3.1.2.3. By End-User Industry
  • 7.3.2. France Bot Security Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Component
      • 7.3.2.2.2. By Security Type
      • 7.3.2.2.3. By End-User Industry
  • 7.3.3. United Kingdom Bot Security Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Component
      • 7.3.3.2.2. By Security Type
      • 7.3.3.2.3. By End-User Industry
  • 7.3.4. Italy Bot Security Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Component
      • 7.3.4.2.2. By Security Type
      • 7.3.4.2.3. By End-User Industry
  • 7.3.5. Spain Bot Security Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Component
      • 7.3.5.2.2. By Security Type
      • 7.3.5.2.3. By End-User Industry

8. Asia Pacific Bot Security Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Component
  • 8.2.2. By Security Type
  • 8.2.3. By End-User Industry
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Bot Security Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Component
      • 8.3.1.2.2. By Security Type
      • 8.3.1.2.3. By End-User Industry
  • 8.3.2. India Bot Security Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Component
      • 8.3.2.2.2. By Security Type
      • 8.3.2.2.3. By End-User Industry
  • 8.3.3. Japan Bot Security Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Component
      • 8.3.3.2.2. By Security Type
      • 8.3.3.2.3. By End-User Industry
  • 8.3.4. South Korea Bot Security Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Component
      • 8.3.4.2.2. By Security Type
      • 8.3.4.2.3. By End-User Industry
  • 8.3.5. Australia Bot Security Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Component
      • 8.3.5.2.2. By Security Type
      • 8.3.5.2.3. By End-User Industry

9. Middle East & Africa Bot Security Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Component
  • 9.2.2. By Security Type
  • 9.2.3. By End-User Industry
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Bot Security Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Component
      • 9.3.1.2.2. By Security Type
      • 9.3.1.2.3. By End-User Industry
  • 9.3.2. UAE Bot Security Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Component
      • 9.3.2.2.2. By Security Type
      • 9.3.2.2.3. By End-User Industry
  • 9.3.3. South Africa Bot Security Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Component
      • 9.3.3.2.2. By Security Type
      • 9.3.3.2.3. By End-User Industry

10. South America Bot Security Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Component
  • 10.2.2. By Security Type
  • 10.2.3. By End-User Industry
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Bot Security Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Component
      • 10.3.1.2.2. By Security Type
      • 10.3.1.2.3. By End-User Industry
  • 10.3.2. Colombia Bot Security Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Component
      • 10.3.2.2.2. By Security Type
      • 10.3.2.2.3. By End-User Industry
  • 10.3.3. Argentina Bot Security Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Component
      • 10.3.3.2.2. By Security Type
      • 10.3.3.2.3. By End-User Industry

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends and Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Company Profiles

• 13.1. Akamai Technologies, Inc.
  • 13.1.1. Business Overview
  • 13.1.2. Key Revenue and Financials
  • 13.1.3. Recent Developments
  • 13.1.4. Key Personnel
  • 13.1.5. Key Product/Services Offered
• 13.2. Imperva, Inc.
• 13.3. Cloudflare, Inc.
• 13.4. Radware Ltd.
• 13.5. Instart Logic, Inc
• 13.6. DataDome SAS
• 13.7. F5, Inc.
• 13.8. Cequence Security, Inc.
• 13.9. Kasada Pty Ltd.
• 13.10. Reblaze Technologies Ltd.

14. Strategic Recommendations

15. About Us & Disclaimer