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Bot Security Market Size, Driving Factors, Growth Statistics, Competitive Landscape And Forecast To 2033

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Bot Security Market Size, Driving Factors, Growth Statistics, Competitive Landscape And Forecast To 2033

Overview and Scope

Bot security is safeguarding against harmful bots while maintaining the reliability and accessibility of online assets without disrupting the beneficial functions of legitimate bots that support activities such as e-commerce, serve as virtual assistants, or automate customer service through chatbots on websites. Through bot protection and mitigation strategies, organizations can reduce the influence of malicious bots and strengthen their overall cybersecurity stance.


Sizing and Forecast

The bot security market size has grown rapidly in recent years. It will grow from $0.63 billion in 2023 to $0.75 billion in 2024 at a compound annual growth rate (CAGR) of 19.7%. The growth in the historic period can be attributed to increase in bad bot traffic, growing cybersecurity concerns, increasing incidents of bot-driven cyber-attacks targeting sensitive data and financial assets, rise in bot attacks, regulatory compliance.


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Segmentation & Regional Insights

The bot security market covered in this report is segmented –

1) By Component: Solution, Services

2) By Security Type: Web Security, Mobile Security, Application Programming Interface (API) Security

3) By Deployment: Cloud-Based, On-Premises

4) By Vertical: Retail And eCommerce, Banking, Financial Services And Insurance (BFSI), Government And Defense, Healthcare, Media And Entertainment, Travel And Hospitality, Information Technology (IT) And Telecom


North America was the largest region in the bot security market in 2023 and it is expected to be the fastest-growing region in the forecast period. The regions covered in the bot security market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.


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Major Driver Impacting Market Growth

An increase in bad bot traffic is expected to propel the growth of the bot security market going forward. Bad bot traffic refers to non-human traffic to a malicious or harmful website. This can involve carding, account hacking, credential stuffing, and website content theft. An increase in bad bot traffic is expected to prompt organizations across various sectors to invest in robust bot security solutions to safeguard their online assets and mitigate the risks associated with such malicious activities. As the threat landscape evolves and the frequency and sophistication of bot attacks continue to rise, there will be a growing demand for advanced bot security measures capable of effectively detecting, blocking, and neutralizing malicious bot traffic. For instance, according to a report by Imperva Inc., a US-based cyber security software and services company, bad bot traffic amounted to 25.6% of all website traffic in 2021, up 6.2% from 2020. Therefore, an increase in bad bot traffic is driving the growth of the bot security market.

Key Industry Players

Major companies operating in the bot security market are Alibaba Cloud, CDNetworks Inc., Akamai Technologies, Citrix Systems Inc., F5 Networks Inc., Cloudflare Inc., Imperva Inc., Fastly Inc., AppsFlyer Ltd., Limelight Networks Inc., Radware Ltd., Shape Security Inc., Sophos Ltd., Kount Inc., Cequence Security Inc., DataDome, PerimeterX Inc., Netacea Ltd., Secucloud Network GmbH, Botguard, Arturai Inc., Reblaze Technologies Ltd., Variti International GmbH, Myra Security GmbH, AuthSafe GmbH., InfiSecure Technologies Inc.


The bot security market report table of contents includes:

1. Executive Summary

2. Bot Security Market Characteristics

3. Bot Security Market Trends And Strategies

4. Bot Security Market - Macro Economic Scenario

5. Global Bot Security Market Size and Growth


....

32. Global Bot Security Market Competitive Benchmarking

33. Global Bot Security Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Bot Security Market

35. Bot Security Market Future Outlook and Potential Analysis

36. Appendix

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