Bot Detection and Mitigation Software Market, Global Outlook and Forecast 2023-2032
Bot detection and mitigation software is used by companies to defend against attacks or other unauthorized activity involving bots. Bots may attempt to take down sites and perform a DDoS attack, scrape data from a website, or perform fraudulent transactions. Bot detection and mitigation products are designed to recognize bot activity, identify malicious bots, and prevent them from engaging with websites, applications, or networks. Companies use these tools to maintain availability during attacks and prevent bots from completing their intended tasks. These tools may have similar features to?DDoS protection software?but bot detection and mitigation solutions defend against a variety of bot-related activities, rather than one type of attack.
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. This report contains market size and forecasts of Bot Detection and Mitigation Software in global, including the following market information:
Global Bot Detection and Mitigation Software Market Revenue, 2018-2023, 2024-2032, ($ millions)
Global top five companies in 2022 (%)
The global Bot Detection and Mitigation Software market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
SaaS Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Bot Detection and Mitigation Software include Webroot, DataDome, ShieldSquare, Distil Networks, Akamai, GeeTest, Alibaba, BitNinja and Secucloud, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Bot Detection and Mitigation Software companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Bot Detection and Mitigation Software Market, by Type, 2018-2023, 2024-2032 ($ millions)
Global Bot Detection and Mitigation Software Market Segment Percentages, by Type, 2022 (%)
SaaS
Cloud-Based
On-Premise
Global Bot Detection and Mitigation Software Market, by Application, 2018-2023, 2024-2032 ($ millions)
Global Bot Detection and Mitigation Software Market Segment Percentages, by Application, 2022 (%)
SME (Small and Medium Enterprises)
Large Enterprise
Global Bot Detection and Mitigation Software Market, By Region and Country, 2018-2023, 2024-2032 ($ Millions)
Global Bot Detection and Mitigation Software Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Bot Detection and Mitigation Software revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Bot Detection and Mitigation Software revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
Webroot
DataDome
ShieldSquare
Distil Networks
Akamai
GeeTest
Alibaba
BitNinja
Secucloud
Fraudsensor
InfiSecure
Kasada
MediaGuard
Outline of Major Chapters:
Chapter 1: Introduces the definition of Bot Detection and Mitigation Software, market overview.
Chapter 2: Global Bot Detection and Mitigation Software market size in revenue.
Chapter 3: Detailed analysis of Bot Detection and Mitigation Software company competitive landscape, revenue and 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: Sales of Bot Detection and Mitigation Software in regional level and country level. 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 of each country in the world.
Chapter 7: 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 8: The main points and conclusions of the report.
