Global Botnet Detection Market – Industry Trends and Forecast to 2027

  • ICT
  • Upcoming Report
  • Oct 2020
  • Global
  • 350 Pages
  • No of Tables: 60
  • No of Figures: 220

Global Botnet Detection Market, By Services (Professional, Managed), Application Area (Website Security, Mobile Application Security, API Security), Deployment Type (Cloud, On Premises), Organization Size (Small and Medium-sized Enterprises (SMEs), Large Enterprises), Vertical (Healthcare, Manufacturing, Education, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2027

Botnet Detection MarketMarket Analysis and Insights : Global Botnet Detection Market

Botnet detection market is expected to grow at a CAGR of 37.8% in the forecast period of 2020 to 2027. Data Bridge Market Research report on botnet detection market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the market’s growth.

Botnet is an arrangement of PCs which is live on the internet. In most cases, the computers belong to private individuals who have no idea that their computers have been hijacked for this purpose. These PCs quietly send spam, vindictive data and infections to other internet PCs.

Security against increasing BOT traffic, increasing number of smartphone users and increasing use of APIs by online businesses are the factors driving the botnet detection market. Usage of traditional BOT protection method such as creates account or captcha is the factor restraining the botnet detection market. Integration with WAF acts as opportunity. Lack of awareness about BOT problems among online business owners is one of the challenges faced by the botnet detection market.

This botnet detection market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on Data Bridge Market Research botnet detection market contact us for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Global Botnet Detection Market Scope and Market Size

Botnet detection market is segmented on the basis of services, application area, deployment type, organization size and vertical. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.

  • Based on services, the botnet detection market is segmented into managed and professional services. Professional services are sub segmented into training services, support services and consulting services.
  • Based on application area, the botnet detection market is segmented into website security, mobile application security and API security.
  • Based on deployment type, the botnet detection market can be segmented into cloud and on premises.
  • Based on organization size, the botnet detection market can be segmented into small and medium-sized enterprises (SMES) and large enterprises.
  • Based on vertical industry, the botnet detection market can be segmented into banking, financial services, and insurance (BFSI), retail and consumer goods, transportation and logistics, healthcare, manufacturing, telecom and it, energy and utilities, government, media and entertainment and others (education, and travel and hospitality).

Botnet Detection Market Country Level Analysis

Botnet detection market is analysed and market size, volume information is provided by country, services, application area, deployment type, organization size and vertical as referenced above.

The countries covered in the market report are the U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC)  in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).

North America will dominate the botnet detection market because of the rising investments in botnet detection solutions to safeguard websites, APIs, and mobile apps from bot attacks. Factors that are influencing the market are rise in adopting cloud and IoT technologies along with connected devices such as smartphones which run a constant threat of botnet attacks.

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Competitive Landscape and Botnet Detection Market Share Analysis

Botnet detection market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to botnet detection market.

The major players covered in the botnet detection market report are Akamai Technologies, Imperva, Distil Networks, Perimeterx Inc., Instart Logic, Intechnica, Zenedge (Oracle), White OPS.Radware, Kasada Pty. Ltd., Reblaze Technologies Ltd., Infisecure, Unbotify, Digital Hands, Integral AD Science, Shape Security, Unfraud Inc., Pixalate Inc., Appsflyer, Variti, Mfilterit, Criticalblue, Datadome, Stealth Security and White Diagnostic among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.

Customization Available : Global Botnet Detection Market

Data Bridge Market Research is a leader in consulting and advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customised to include production cost analysis, trade route analysis, price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), import export and grey area results data, literature review, consumer analysis and product base analysis. Market analysis of target competitors can be analysed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Factbook) or can assist you in creating presentations from the data sets available in the report.


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