機器人安全市場－全球產業規模、佔有率、趨勢、機會和預測，按組件、安全類型、最終用戶產業、地區和競爭情況細分，2020-2030 年預測

2024 年全球機器人安全市場價值為 7.2954 億美元，預計到 2030 年將達到 22.7267 億美元，預測期內複合年成長率為 20.67%。

機器人安全市場是指專注於偵測、管理和緩解針對數位系統（包括網站、行動應用程式和應用程式介面）的惡意機器人流量的產業。網路犯罪分子經常利用這些機器人進行憑證填充、內容抓取、拒絕服務攻擊、庫存囤積和廣告詐欺等活動，對業務營運和客戶信任構成嚴重風險。隨著各行各業數位轉型的加速，企業越來越依賴線上平台進行客戶互動和服務交付，這為惡意自動化流量創造了更廣泛的攻擊面。

這種動態推動了對高階機器人防護解決方案的需求不斷成長，這些解決方案利用人工智慧、機器學習、行為分析和風險評分來即時識別和阻止有害的機器人行為。機器人的日益複雜化，包括能夠模仿合法用戶行為的類人「高級持久機器人」的出現，使得傳統的安全措施已不堪重負，需要更具適應性和智慧的解決方案。此外，與資料隱私和網路安全合規性相關的監管壓力日益增大，例如歐洲的《一般資料保護規範》和各國的網路安全框架，迫使企業加強其線上防禦能力。

由於數位資產和敏感客戶資料的價值高，銀行和金融服務、零售和電子商務、媒體和娛樂以及旅遊和酒店等關鍵行業在機器人安全應用方面處於領先地位。此外，基於雲端的部署模型以及與現有網路應用程式防火牆和內容交付網路的整合，使得各種規模的組織都能夠更輕鬆地存取和擴展機器人安全解決方案。

戰略合作夥伴關係、產品創新以及網路安全基礎設施投資的不斷增加也促進了市場的成長。隨著威脅行為者不斷改進其攻擊策略，在日益數位化的全球經濟中，對主動、智慧和即時防禦機制的迫切需求推動了機器人安全市場持續擴張。

關鍵市場促進因素

機器人驅動的網路攻擊日益複雜

主要市場挑戰

機器人攻擊的複雜性不斷提高，偵測也面臨限制

主要市場趨勢

人工智慧和機器學習在機器人偵測中的融合日益增強

目錄

第 1 章：產品概述

第2章：研究方法

第3章：執行摘要

第4章：顧客之聲

第5章：全球機器人安全市場展望

• 市場規模和預測
  • 按價值
• 市場佔有率和預測
  • 按組件（解決方案、服務）
  • 依安全性類型（Web 安全性、行動安全性、API 安全性）
  • 按最終用戶產業（銀行、金融服務和保險、零售和電子商務、醫​​療保健、媒體和娛樂、旅遊和酒店、資訊科技和電信、政府、其他）
  • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
• 按公司分類（2024 年）
• 市場地圖

第6章：北美機器人安全市場展望

• 市場規模和預測
• 市場佔有率和預測
• 北美：國家分析
  • 美國
  • 加拿大
  • 墨西哥

第7章：歐洲機器人安全市場展望

• 市場規模和預測
• 市場佔有率和預測
• 歐洲：國家分析
  • 德國
  • 法國
  • 英國
  • 義大利
  • 西班牙

第8章：亞太地區機器人安全市場展望

• 市場規模和預測
• 市場佔有率和預測
• 亞太地區：國家分析
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳洲

第9章：中東與非洲機器人安全市場展望

• 市場規模和預測
• 市場佔有率和預測
• 中東和非洲：國家分析
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非

第10章：南美機器人安全市場展望

• 市場規模和預測
• 市場佔有率和預測
• 南美洲：國家分析
  • 巴西
  • 哥倫比亞
  • 阿根廷

第 11 章：市場動態

• 驅動程式
• 挑戰

第 12 章：市場趨勢與發展

• 合併與收購（如有）
• 產品發布（如有）
• 最新動態

第13章：公司簡介

• 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：策略建議

第15章調查會社について,免責事項

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