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Global Bot Detection and Mitigation Software Market Research Report 2025
Synopsis
Bot detection and mitigation software is used by companies to defend against attacks or other unauthorized activity involving bots.
The global Bot Detection and Mitigation Software market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Bot Detection and Mitigation Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Bot Detection and Mitigation Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Bot Detection and Mitigation Software in Individual is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Bot Detection and Mitigation Software include Alibaba, Oracle, Webroot, DataDome, Geetest, Radware, Imperva, Akamai Technologies and BitNinja, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Bot Detection and Mitigation Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Bot Detection and Mitigation Software.
Report Scope
The Bot Detection and Mitigation Software market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Bot Detection and Mitigation Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Bot Detection and Mitigation Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Alibaba
Oracle
Webroot
DataDome
Geetest
Radware
Imperva
Akamai Technologies
BitNinja
Secucloud Network
InfiSecure
White Ops
Kasada
PerimeterX
Reblaze Technologies
Segment by Type
On-premise
Cloud-based
Segment by Application
Individual
Enterprise
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Bot Detection and Mitigation Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Bot detection and mitigation software is used by companies to defend against attacks or other unauthorized activity involving bots.
The global Bot Detection and Mitigation Software market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Bot Detection and Mitigation Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Bot Detection and Mitigation Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Bot Detection and Mitigation Software in Individual is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Bot Detection and Mitigation Software include Alibaba, Oracle, Webroot, DataDome, Geetest, Radware, Imperva, Akamai Technologies and BitNinja, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Bot Detection and Mitigation Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Bot Detection and Mitigation Software.
Report Scope
The Bot Detection and Mitigation Software market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Bot Detection and Mitigation Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Bot Detection and Mitigation Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Alibaba
Oracle
Webroot
DataDome
Geetest
Radware
Imperva
Akamai Technologies
BitNinja
Secucloud Network
InfiSecure
White Ops
Kasada
PerimeterX
Reblaze Technologies
Segment by Type
On-premise
Cloud-based
Segment by Application
Individual
Enterprise
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Bot Detection and Mitigation Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Bot Detection and Mitigation Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-premise
1.2.3 Cloud-based
1.3 Market by Application
1.3.1 Global Bot Detection and Mitigation Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Individual
1.3.3 Enterprise
1.3.4 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Bot Detection and Mitigation Software Market Perspective (2019-2030)
2.2 Bot Detection and Mitigation Software Growth Trends by Region
2.2.1 Global Bot Detection and Mitigation Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Bot Detection and Mitigation Software Historic Market Size by Region (2019-2024)
2.2.3 Bot Detection and Mitigation Software Forecasted Market Size by Region (2025-2030)
2.3 Bot Detection and Mitigation Software Market Dynamics
2.3.1 Bot Detection and Mitigation Software Industry Trends
2.3.2 Bot Detection and Mitigation Software Market Drivers
2.3.3 Bot Detection and Mitigation Software Market Challenges
2.3.4 Bot Detection and Mitigation Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Bot Detection and Mitigation Software Players by Revenue
3.1.1 Global Top Bot Detection and Mitigation Software Players by Revenue (2019-2024)
3.1.2 Global Bot Detection and Mitigation Software Revenue Market Share by Players (2019-2024)
3.2 Global Bot Detection and Mitigation Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Bot Detection and Mitigation Software Revenue
3.4 Global Bot Detection and Mitigation Software Market Concentration Ratio
3.4.1 Global Bot Detection and Mitigation Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Bot Detection and Mitigation Software Revenue in 2023
3.5 Bot Detection and Mitigation Software Key Players Head office and Area Served
3.6 Key Players Bot Detection and Mitigation Software Product Solution and Service
3.7 Date of Enter into Bot Detection and Mitigation Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Bot Detection and Mitigation Software Breakdown Data by Type
4.1 Global Bot Detection and Mitigation Software Historic Market Size by Type (2019-2024)
4.2 Global Bot Detection and Mitigation Software Forecasted Market Size by Type (2025-2030)
5 Bot Detection and Mitigation Software Breakdown Data by Application
5.1 Global Bot Detection and Mitigation Software Historic Market Size by Application (2019-2024)
5.2 Global Bot Detection and Mitigation Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Bot Detection and Mitigation Software Market Size (2019-2030)
6.2 North America Bot Detection and Mitigation Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Bot Detection and Mitigation Software Market Size by Country (2019-2024)
6.4 North America Bot Detection and Mitigation Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Bot Detection and Mitigation Software Market Size (2019-2030)
7.2 Europe Bot Detection and Mitigation Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Bot Detection and Mitigation Software Market Size by Country (2019-2024)
7.4 Europe Bot Detection and Mitigation Software Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Bot Detection and Mitigation Software Market Size (2019-2030)
8.2 Asia-Pacific Bot Detection and Mitigation Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Bot Detection and Mitigation Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Bot Detection and Mitigation Software Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Bot Detection and Mitigation Software Market Size (2019-2030)
9.2 Latin America Bot Detection and Mitigation Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Bot Detection and Mitigation Software Market Size by Country (2019-2024)
9.4 Latin America Bot Detection and Mitigation Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Bot Detection and Mitigation Software Market Size (2019-2030)
10.2 Middle East & Africa Bot Detection and Mitigation Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Bot Detection and Mitigation Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Bot Detection and Mitigation Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Alibaba
11.1.1 Alibaba Company Detail
11.1.2 Alibaba Business Overview
11.1.3 Alibaba Bot Detection and Mitigation Software Introduction
11.1.4 Alibaba Revenue in Bot Detection and Mitigation Software Business (2019-2024)
11.1.5 Alibaba Recent Development
11.2 Oracle
11.2.1 Oracle Company Detail
11.2.2 Oracle Business Overview
11.2.3 Oracle Bot Detection and Mitigation Software Introduction
11.2.4 Oracle Revenue in Bot Detection and Mitigation Software Business (2019-2024)
11.2.5 Oracle Recent Development
11.3 Webroot
11.3.1 Webroot Company Detail
11.3.2 Webroot Business Overview
11.3.3 Webroot Bot Detection and Mitigation Software Introduction
11.3.4 Webroot Revenue in Bot Detection and Mitigation Software Business (2019-2024)
11.3.5 Webroot Recent Development
11.4 DataDome
11.4.1 DataDome Company Detail
11.4.2 DataDome Business Overview
11.4.3 DataDome Bot Detection and Mitigation Software Introduction
11.4.4 DataDome Revenue in Bot Detection and Mitigation Software Business (2019-2024)
11.4.5 DataDome Recent Development
11.5 Geetest
11.5.1 Geetest Company Detail
11.5.2 Geetest Business Overview
11.5.3 Geetest Bot Detection and Mitigation Software Introduction
11.5.4 Geetest Revenue in Bot Detection and Mitigation Software Business (2019-2024)
11.5.5 Geetest Recent Development
11.6 Radware
11.6.1 Radware Company Detail
11.6.2 Radware Business Overview
11.6.3 Radware Bot Detection and Mitigation Software Introduction
11.6.4 Radware Revenue in Bot Detection and Mitigation Software Business (2019-2024)
11.6.5 Radware Recent Development
11.7 Imperva
11.7.1 Imperva Company Detail
11.7.2 Imperva Business Overview
11.7.3 Imperva Bot Detection and Mitigation Software Introduction
11.7.4 Imperva Revenue in Bot Detection and Mitigation Software Business (2019-2024)
11.7.5 Imperva Recent Development
11.8 Akamai Technologies
11.8.1 Akamai Technologies Company Detail
11.8.2 Akamai Technologies Business Overview
11.8.3 Akamai Technologies Bot Detection and Mitigation Software Introduction
11.8.4 Akamai Technologies Revenue in Bot Detection and Mitigation Software Business (2019-2024)
11.8.5 Akamai Technologies Recent Development
11.9 BitNinja
11.9.1 BitNinja Company Detail
11.9.2 BitNinja Business Overview
11.9.3 BitNinja Bot Detection and Mitigation Software Introduction
11.9.4 BitNinja Revenue in Bot Detection and Mitigation Software Business (2019-2024)
11.9.5 BitNinja Recent Development
11.10 Secucloud Network
11.10.1 Secucloud Network Company Detail
11.10.2 Secucloud Network Business Overview
11.10.3 Secucloud Network Bot Detection and Mitigation Software Introduction
11.10.4 Secucloud Network Revenue in Bot Detection and Mitigation Software Business (2019-2024)
11.10.5 Secucloud Network Recent Development
11.11 InfiSecure
11.11.1 InfiSecure Company Detail
11.11.2 InfiSecure Business Overview
11.11.3 InfiSecure Bot Detection and Mitigation Software Introduction
11.11.4 InfiSecure Revenue in Bot Detection and Mitigation Software Business (2019-2024)
11.11.5 InfiSecure Recent Development
11.12 White Ops
11.12.1 White Ops Company Detail
11.12.2 White Ops Business Overview
11.12.3 White Ops Bot Detection and Mitigation Software Introduction
11.12.4 White Ops Revenue in Bot Detection and Mitigation Software Business (2019-2024)
11.12.5 White Ops Recent Development
11.13 Kasada
11.13.1 Kasada Company Detail
11.13.2 Kasada Business Overview
11.13.3 Kasada Bot Detection and Mitigation Software Introduction
11.13.4 Kasada Revenue in Bot Detection and Mitigation Software Business (2019-2024)
11.13.5 Kasada Recent Development
11.14 PerimeterX
11.14.1 PerimeterX Company Detail
11.14.2 PerimeterX Business Overview
11.14.3 PerimeterX Bot Detection and Mitigation Software Introduction
11.14.4 PerimeterX Revenue in Bot Detection and Mitigation Software Business (2019-2024)
11.14.5 PerimeterX Recent Development
11.15 Reblaze Technologies
11.15.1 Reblaze Technologies Company Detail
11.15.2 Reblaze Technologies Business Overview
11.15.3 Reblaze Technologies Bot Detection and Mitigation Software Introduction
11.15.4 Reblaze Technologies Revenue in Bot Detection and Mitigation Software Business (2019-2024)
11.15.5 Reblaze Technologies Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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