Global Botnet Detection Market Overview

Global Botnet Detection Market was valued at USD 599.04 million in 2021 and is expected to reach USD 4272.4 million by the year 2028, at a CAGR of 32.4%.

A botnet is a network of bots that runs on a device infected with malware for the malicious purpose of one or more hackers. Botnets can infect computers, laptops, servers, smartphones, and all types of IoT devices with security holes. Botnets are difficult to detect because it is in the hacker's best interests that the victim does not know that his device is infected. Some high-quality advertising fraud solutions, such as Anura, constantly monitor traffic to determine which visitors are genuine or fraudulent, and when identified, sent by bots (and other sources of fraud). Notification of invalid traffic generated and complete a report of data showing why the activity was flagged as fraudulent. This process allows you to get rid of malicious traffic while preserving the original traffic. Cybercriminals use a variety of tools to gain illegal profits from their victims. One of the most common tools companies face is the dreaded botnet attack. Cybercrime Magazine estimates that cybercrime is expected to costs 6 trillion by 2021. Therefore, the need for sophisticated botnet detection software has increased significantly in the past six years.

Market Dynamics and Factors For Botnet Detection:

Drivers

As the number of bot attacks in organizations increases, botnet detection solutions are being introduced to protect against highly persistent bots. It is estimated that public and private organizations can use botnet detection solutions to accurately identify and classify bot types, bot traffic, and their sources. It also helps reduce server load and bandwidth costs. Improve the user experience of your website. For example, in July 2018, a group of hackers allegedly compromised about 18,000 Huawei routers. These routers were further established by security companies Qihoo, 360 Netlab, and Rapid7.

With the introduction of cloud and IoT technologies, the use of the Internet is increasing. Currently, all companies whether government or commercial rely on the Internet and computer networks for data exchange. In addition, with the advent of the IoT, the number of devices connected to the Internet is increasing, and most devices have little or no security features. Both large and small businesses (SMBs) have botnet detection strategies as all companies seek to protect sensitive information from theft and loss from cyberattacks and fraud. Most of the big enterprises spend largely on data security and secure online spaces of the business of the particular enterprise. Therefore, several IT companies are developing botnet detection software.  This will help drive the growth of the botnet detection market.

Restraints

Lack of awareness about the latest botnet detection techniques is a major challenge facing the botnet detection market. The majority of companies still use traditional botnet strategies, while the frequency and sophistication of threats have gradually increased, increasing the need for equally complex detection systems. This is expected to hinder the market growth of Botnet Detection.

Opportunities

Growing usage of IoT devices and digitalization create complex web-based connectivity among consumers as well as big enterprises. Currently, most of the gadgets require an internet connection and come with cloud-based storage and connection. Personal and sensitive data may be vulnerable in online-based tools and gadgets as well as any information linked through the internet, therefore the need for a complete solution against cyber-attacks has increased significantly. Technological advancement pushing the development of botnet detection software with existing and new developing companies creating competitiveness in the market. Botnet detection using machine learning presents a bright opportunity to provide sophisticated security against cyber-attacks. Machine learning act as a solution for botnet attack-related issues. Machine learning facilitates detection as well as helps in the prevention of bot attacks.

Challenges

Using machine learning algorithms, the detection accuracy of botnet malware is between 95% and 99.9% which means that no algorithm can guarantee 100 protections in all available architectures and different situations. As a result, if only one algorithm is used in all situations, the results may not be as reliable as the predictions based on the dataset used to train the model. Therefore, the best performing algorithms have been identified and combined to produce better results in different situations. Although machine learning-based botnet detection software provides accurate diagnosis and detection of fraudulent and harmful virus attacks compared to the traditional approach, machine learning does not guarantee 100% protection from cyber-attack. As new-age technology, machine learning is growing constantly therefore, the new solution for this challenge is expected from new-gen companies.

Market Segmentation

By Solution, Cloud-based solution is dominating the Botnet detection market during the forecasted period. Cloud-based provisioning benefits enterprises from improved scalability, speed, 24/7 service, and IT security. Demand for cloud-based botnet detection solutions is growing rapidly as the central delivery model meets security standards. As more apps are delivered over the cloud, large enterprises and SMBs are moving from traditional local botnet detection solutions to cloud-based botnet detection solutions. This is likely to stimulate market growth for botnet detection.

By Application, Mobile Security is expected to be dominating in the Botnet Detection Market. The security segment of mobile apps is forecasted at a significant CAGR over the forecast period during the forecast period due to the rapid proliferation of smartphones. This will lead to an increase in the number of attacks on mobile platforms, supported by advances in the evasion of modern authentication methods. Currently 6.38 billion smartphone users worldwide out of which Asian pacific occupy the most of it by countries like China and India.  The age group among users is also diversified with the large adoption of smartphones by age group of 45 and above. Therefore, the number of scams and mobile phone-specific malware attacks have increased which created a pushing factor of botnet detection in mobile security.

By End-Use Industry, Media and Entertainment are dominating the botnet detection market in the end-use segment. Media and entertainment companies spend a lot of money on advertising to increase brand awareness and attract new customers. Botnet detection technology is primarily used in the media and entertainment industry to reduce advertising exposure. This sector is expected to grow most rapidly due to the increase in bot attacks on this sector by advertising fraud. Botnet attacks can perform illegal activities that are harmful to your brands, such as fraudulent content delivery and price scraping. This allows advertisers to constantly monitor their networks and servers to detect unusual traffic patterns and assess why sales performance has increased or decreased. With digitalization and adoption, media and entertainment companies are recognizing the need for botnet detection solutions to protect and protect databases, applications, and websites. The online media and entertainment industry are expanding rapidly with increasing acceptance and are driven primarily by digital media which is a boosting factor for the growth of the botnet detection market.

Players Covered in Botnet Detection market are :

• Akamai Technologies
• Imperva
• Perimeterx
• Instart Logic
• Intechnica
• Zenedge (Oracle)
• White OPS
• Shieldsquare
• Kasada
• Reblaze
• Infisecure
• Unbotify
• Digital Hands
• Integral AD Science
• Shape Security
• Unfraud
• Pixalate
• Appsflyer
• Variti
• Mfilterit
• Criticalblue
• Datadome
• Stealth Security
• White Diagnostic and other major players.

Regional Analysis of Botnet Detection Market

North America currently dominates the global botnet detection market with a market share of over 40%. The United States and Canada focus on research and development (R & D) and innovation. As investment in botnet detection solutions to protect websites, APIs, and mobile apps from bot attacks increased and the region is expected to become the best-selling region in the global market. The threat of botnets is increasing and demand is increasing across governments. For example, the US Department of Defense (DoD) is seriously focusing on the rapid spread of malware that affects private networks and government operations and is looking for highly automated methods to combat attacks. This is due to the growing public awareness of privacy protection. This is expected to increase demand for botnet detection solutions across North America. In addition, the government's increasingly stringent data protection regulations are expected to significantly drive the market.

Asia Pacific is expected to be one of the fastest-growing markets for botnet detection solutions as massive growth in the IT sector and ecommerce platforms as huge customer base in Asian countries. India and China have large potential for the growth of ecommerce platforms as a major shift in the adoption of online platforms for the purchase of goods during a pandemic. A large number of online customers have experienced fraudulent activities and virus attacks on personal devices which have pushed the demand for botnet detection software. Also, the growing IT sector provides botnet detection solutions for various booming business verticals such as the massive media and entertainment sector, BFSI, and government entities. The Asia Pacific is expected to hold a major share in the botnet detection market during forecasted periods.

Key Developments of Botnet Detection Market

• June 2020, Guardicore Labs, launched the Botnet Encyclopedia. Guardicore's Botnet Encyclopedia provides a continuously updated universal knowledge base of past and present botnet campaigns researched by the Labs team-many of which were previously unknown to the cybersecurity community-showcasing the greatest threats to corporate security at a single, open location.

Covid19 Impact on Botnet Detection Market

Covid19 pandemic created a major disruption in social and business activities around the globe creating confusion among the general consumer base. The majority of the businesses shifted their activities online. Also, the massive surge in ecommerce platforms for essential goods has spiked the number of the user. The majority of the consumer has shown an online presence.  The bot landscape is changing fast as fraudsters look to capitalize on the confusion, fear, and uncertainty surrounding Covid-19 and its immediately accelerating e-commerce. Covid-19 quickly became the catalyst that e-commerce and digital transformation initiatives needed to prove they could scale. It also led to a massive increase in bot attacks. Therefore, many companies have invested in botnet detection software to immunize the online servers of the companies which are holding sensitive information such as financial statements, vital information, transaction details, and personal information of the client. Therefore, moderate growth and demand have been recorded during the covid19 pandemic. Also, periodically software patches for mobile devices against the protection from botnet attacks, DDOS attacks, and phishing attacks have increased and pushed the demand for effective botnet detection software during a pandemic.

Chapter 1: Introduction
 1.1 Research Objectives
 1.2 Research Methodology
 1.3 Research Process
 1.4 Scope and Coverage
  1.4.1 Market Definition
  1.4.2 Key Questions Answered
 1.5 Market Segmentation

Chapter 2:Executive Summary

Chapter 3:Growth Opportunities By Segment
 3.1 By Offering
 3.2 By Deployment
 3.3 By Application
 3.4 By End Use Industry

Chapter 4: Market Landscape
 4.1 Porter's Five Forces Analysis
  4.1.1 Bargaining Power of Supplier
  4.1.2 Threat of New Entrants
  4.1.3 Threat of Substitutes
  4.1.4 Competitive Rivalry
  4.1.5 Bargaining Power Among Buyers
 4.2 Industry Value Chain Analysis
 4.3 Market Dynamics
  4.3.1 Drivers
  4.3.2 Restraints
  4.3.3 Opportunities
  4.5.4 Challenges
 4.4 Pestle Analysis
 4.5 Technological Roadmap
 4.6 Regulatory Landscape
 4.7 SWOT Analysis
 4.8 Price Trend Analysis
 4.9 Patent Analysis
 4.10 Analysis of the Impact of Covid-19
  4.10.1 Impact on the Overall Market
  4.10.2 Impact on the Supply Chain
  4.10.3 Impact on the Key Manufacturers
  4.10.4 Impact on the Pricing

Chapter 5: Botnet Detection Market by Offering
 5.1 Botnet Detection Market Overview Snapshot and Growth Engine
 5.2 Botnet Detection Market Overview
 5.3 Standalone Solution
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size (2016-2028F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 Standalone Solution: Grographic Segmentation
 5.4 Services
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size (2016-2028F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 Services: Grographic Segmentation

Chapter 6: Botnet Detection Market by Deployment
 6.1 Botnet Detection Market Overview Snapshot and Growth Engine
 6.2 Botnet Detection Market Overview
 6.3 Cloud-based
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size (2016-2028F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 Cloud-based: Grographic Segmentation
 6.4 On-premises
  6.4.1 Introduction and Market Overview
  6.4.2 Historic and Forecasted Market Size (2016-2028F)
  6.4.3 Key Market Trends, Growth Factors and Opportunities
  6.4.4 On-premises: Grographic Segmentation

Chapter 7: Botnet Detection Market by Application
 7.1 Botnet Detection Market Overview Snapshot and Growth Engine
 7.2 Botnet Detection Market Overview
 7.3 Mobile Security
  7.3.1 Introduction and Market Overview
  7.3.2 Historic and Forecasted Market Size (2016-2028F)
  7.3.3 Key Market Trends, Growth Factors and Opportunities
  7.3.4 Mobile Security: Grographic Segmentation
 7.4 App Security
  7.4.1 Introduction and Market Overview
  7.4.2 Historic and Forecasted Market Size (2016-2028F)
  7.4.3 Key Market Trends, Growth Factors and Opportunities
  7.4.4 App Security: Grographic Segmentation
 7.5 Database Security
  7.5.1 Introduction and Market Overview
  7.5.2 Historic and Forecasted Market Size (2016-2028F)
  7.5.3 Key Market Trends, Growth Factors and Opportunities
  7.5.4 Database Security: Grographic Segmentation
 7.6 Others
  7.6.1 Introduction and Market Overview
  7.6.2 Historic and Forecasted Market Size (2016-2028F)
  7.6.3 Key Market Trends, Growth Factors and Opportunities
  7.6.4 Others: Grographic Segmentation

Chapter 8: Botnet Detection Market by End Use Industry
 8.1 Botnet Detection Market Overview Snapshot and Growth Engine
 8.2 Botnet Detection Market Overview
 8.3 Retail & eCommerce
  8.3.1 Introduction and Market Overview
  8.3.2 Historic and Forecasted Market Size (2016-2028F)
  8.3.3 Key Market Trends, Growth Factors and Opportunities
  8.3.4 Retail & eCommerce: Grographic Segmentation
 8.4 BFSI
  8.4.1 Introduction and Market Overview
  8.4.2 Historic and Forecasted Market Size (2016-2028F)
  8.4.3 Key Market Trends, Growth Factors and Opportunities
  8.4.4 BFSI: Grographic Segmentation
 8.5 Travel & Hospitality
  8.5.1 Introduction and Market Overview
  8.5.2 Historic and Forecasted Market Size (2016-2028F)
  8.5.3 Key Market Trends, Growth Factors and Opportunities
  8.5.4 Travel & Hospitality: Grographic Segmentation
 8.6 Media & Entertainment
  8.6.1 Introduction and Market Overview
  8.6.2 Historic and Forecasted Market Size (2016-2028F)
  8.6.3 Key Market Trends, Growth Factors and Opportunities
  8.6.4 Media & Entertainment: Grographic Segmentation
 8.7 Others
  8.7.1 Introduction and Market Overview
  8.7.2 Historic and Forecasted Market Size (2016-2028F)
  8.7.3 Key Market Trends, Growth Factors and Opportunities
  8.7.4 Others: Grographic Segmentation

Chapter 9: Company Profiles and Competitive Analysis
 9.1 Competitive Landscape
  9.1.1 Competitive Positioning
  9.1.2 Botnet Detection Sales and Market Share By Players
  9.1.3 Industry BCG Matrix
  9.1.4 Ansoff Matrix
  9.1.5 Botnet Detection Industry Concentration Ratio (CR5 and HHI)
  9.1.6 Top 5 Botnet Detection Players Market Share
  9.1.7 Mergers and Acquisitions
  9.1.8 Business Strategies By Top Players
 9.2 AKAMAI TECHNOLOGIES
  9.2.1 Company Overview
  9.2.2 Key Executives
  9.2.3 Company Snapshot
  9.2.4 Operating Business Segments
  9.2.5 Product Portfolio
  9.2.6 Business Performance
  9.2.7 Key Strategic Moves and Recent Developments
  9.2.8 SWOT Analysis
 9.3 IMPERVA
 9.4 PERIMETERX
 9.5 INSTART LOGIC
 9.6 INTECHNICA
 9.7 ZENEDGE (ORACLE)
 9.8 WHITE OPS
 9.9 SHIELDSQUARE
 9.10 KASADA
 9.11 REBLAZE
 9.12 INFISECURE
 9.13 UNBOTIFY
 9.14 DIGITAL HANDS
 9.15 INTEGRAL AD SCIENCE
 9.16 SHAPE SECURITY
 9.17 UNFRAUD
 9.18 PIXALATE
 9.19 APPSFLYER
 9.20 VARITI
 9.21 MFILTERIT
 9.22 CRITICALBLUE
 9.23 DATADOME
 9.24 STEALTH SECURITY
 9.25 WHITE DIAGNOSTIC
 9.26 OTHER MAJOR PLAYERS

Chapter 10: Global Botnet Detection Market Analysis, Insights and Forecast, 2016-2028
 10.1 Market Overview
 10.2 Historic and Forecasted Market Size By Offering
  10.2.1 Standalone Solution
  10.2.2 Services
 10.3 Historic and Forecasted Market Size By Deployment
  10.3.1 Cloud-based
  10.3.2 On-premises
 10.4 Historic and Forecasted Market Size By Application
  10.4.1 Mobile Security
  10.4.2 App Security
  10.4.3 Database Security
  10.4.4 Others
 10.5 Historic and Forecasted Market Size By End Use Industry
  10.5.1 Retail & eCommerce
  10.5.2 BFSI
  10.5.3 Travel & Hospitality
  10.5.4 Media & Entertainment
  10.5.5 Others

Chapter 11: North America Botnet Detection Market Analysis, Insights and Forecast, 2016-2028
 11.1 Key Market Trends, Growth Factors and Opportunities
 11.2 Impact of Covid-19
 11.3 Key Players
 11.4 Key Market Trends, Growth Factors and Opportunities
 11.4 Historic and Forecasted Market Size By Offering
  11.4.1 Standalone Solution
  11.4.2 Services
 11.5 Historic and Forecasted Market Size By Deployment
  11.5.1 Cloud-based
  11.5.2 On-premises
 11.6 Historic and Forecasted Market Size By Application
  11.6.1 Mobile Security
  11.6.2 App Security
  11.6.3 Database Security
  11.6.4 Others
 11.7 Historic and Forecasted Market Size By End Use Industry
  11.7.1 Retail & eCommerce
  11.7.2 BFSI
  11.7.3 Travel & Hospitality
  11.7.4 Media & Entertainment
  11.7.5 Others
 11.8 Historic and Forecast Market Size by Country
  11.8.1 U.S.
  11.8.2 Canada
  11.8.3 Mexico

Chapter 12: Europe Botnet Detection Market Analysis, Insights and Forecast, 2016-2028
 12.1 Key Market Trends, Growth Factors and Opportunities
 12.2 Impact of Covid-19
 12.3 Key Players
 12.4 Key Market Trends, Growth Factors and Opportunities
 12.4 Historic and Forecasted Market Size By Offering
  12.4.1 Standalone Solution
  12.4.2 Services
 12.5 Historic and Forecasted Market Size By Deployment
  12.5.1 Cloud-based
  12.5.2 On-premises
 12.6 Historic and Forecasted Market Size By Application
  12.6.1 Mobile Security
  12.6.2 App Security
  12.6.3 Database Security
  12.6.4 Others
 12.7 Historic and Forecasted Market Size By End Use Industry
  12.7.1 Retail & eCommerce
  12.7.2 BFSI
  12.7.3 Travel & Hospitality
  12.7.4 Media & Entertainment
  12.7.5 Others
 12.8 Historic and Forecast Market Size by Country
  12.8.1 Germany
  12.8.2 U.K.
  12.8.3 France
  12.8.4 Italy
  12.8.5 Russia
  12.8.6 Spain
  12.8.7 Rest of Europe

Chapter 13: Asia-Pacific Botnet Detection Market Analysis, Insights and Forecast, 2016-2028
 13.1 Key Market Trends, Growth Factors and Opportunities
 13.2 Impact of Covid-19
 13.3 Key Players
 13.4 Key Market Trends, Growth Factors and Opportunities
 13.4 Historic and Forecasted Market Size By Offering
  13.4.1 Standalone Solution
  13.4.2 Services
 13.5 Historic and Forecasted Market Size By Deployment
  13.5.1 Cloud-based
  13.5.2 On-premises
 13.6 Historic and Forecasted Market Size By Application
  13.6.1 Mobile Security
  13.6.2 App Security
  13.6.3 Database Security
  13.6.4 Others
 13.7 Historic and Forecasted Market Size By End Use Industry
  13.7.1 Retail & eCommerce
  13.7.2 BFSI
  13.7.3 Travel & Hospitality
  13.7.4 Media & Entertainment
  13.7.5 Others
 13.8 Historic and Forecast Market Size by Country
  13.8.1 China
  13.8.2 India
  13.8.3 Japan
  13.8.4 Singapore
  13.8.5 Australia
  13.8.6 New Zealand
  13.8.7 Rest of APAC

Chapter 14: Middle East & Africa Botnet Detection Market Analysis, Insights and Forecast, 2016-2028
 14.1 Key Market Trends, Growth Factors and Opportunities
 14.2 Impact of Covid-19
 14.3 Key Players
 14.4 Key Market Trends, Growth Factors and Opportunities
 14.4 Historic and Forecasted Market Size By Offering
  14.4.1 Standalone Solution
  14.4.2 Services
 14.5 Historic and Forecasted Market Size By Deployment
  14.5.1 Cloud-based
  14.5.2 On-premises
 14.6 Historic and Forecasted Market Size By Application
  14.6.1 Mobile Security
  14.6.2 App Security
  14.6.3 Database Security
  14.6.4 Others
 14.7 Historic and Forecasted Market Size By End Use Industry
  14.7.1 Retail & eCommerce
  14.7.2 BFSI
  14.7.3 Travel & Hospitality
  14.7.4 Media & Entertainment
  14.7.5 Others
 14.8 Historic and Forecast Market Size by Country
  14.8.1 Turkey
  14.8.2 Saudi Arabia
  14.8.3 Iran
  14.8.4 UAE
  14.8.5 Africa
  14.8.6 Rest of MEA

Chapter 15: South America Botnet Detection Market Analysis, Insights and Forecast, 2016-2028
 15.1 Key Market Trends, Growth Factors and Opportunities
 15.2 Impact of Covid-19
 15.3 Key Players
 15.4 Key Market Trends, Growth Factors and Opportunities
 15.4 Historic and Forecasted Market Size By Offering
  15.4.1 Standalone Solution
  15.4.2 Services
 15.5 Historic and Forecasted Market Size By Deployment
  15.5.1 Cloud-based
  15.5.2 On-premises
 15.6 Historic and Forecasted Market Size By Application
  15.6.1 Mobile Security
  15.6.2 App Security
  15.6.3 Database Security
  15.6.4 Others
 15.7 Historic and Forecasted Market Size By End Use Industry
  15.7.1 Retail & eCommerce
  15.7.2 BFSI
  15.7.3 Travel & Hospitality
  15.7.4 Media & Entertainment
  15.7.5 Others
 15.8 Historic and Forecast Market Size by Country
  15.8.1 Brazil
  15.8.2 Argentina
  15.8.3 Rest of SA

Chapter 16 Investment Analysis

Chapter 17 Analyst Viewpoint and Conclusion

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. BOTNET DETECTION MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. BOTNET DETECTION MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. BOTNET DETECTION MARKET COMPETITIVE RIVALRY
TABLE 005. BOTNET DETECTION MARKET THREAT OF NEW ENTRANTS
TABLE 006. BOTNET DETECTION MARKET THREAT OF SUBSTITUTES
TABLE 007. BOTNET DETECTION MARKET BY OFFERING
TABLE 008. STANDALONE SOLUTION MARKET OVERVIEW (2016-2028)
TABLE 009. SERVICES MARKET OVERVIEW (2016-2028)
TABLE 010. BOTNET DETECTION MARKET BY DEPLOYMENT
TABLE 011. CLOUD-BASED MARKET OVERVIEW (2016-2028)
TABLE 012. ON-PREMISES MARKET OVERVIEW (2016-2028)
TABLE 013. BOTNET DETECTION MARKET BY APPLICATION
TABLE 014. MOBILE SECURITY MARKET OVERVIEW (2016-2028)
TABLE 015. APP SECURITY MARKET OVERVIEW (2016-2028)
TABLE 016. DATABASE SECURITY MARKET OVERVIEW (2016-2028)
TABLE 017. OTHERS MARKET OVERVIEW (2016-2028)
TABLE 018. BOTNET DETECTION MARKET BY END USE INDUSTRY
TABLE 019. RETAIL & ECOMMERCE MARKET OVERVIEW (2016-2028)
TABLE 020. BFSI MARKET OVERVIEW (2016-2028)
TABLE 021. TRAVEL & HOSPITALITY MARKET OVERVIEW (2016-2028)
TABLE 022. MEDIA & ENTERTAINMENT MARKET OVERVIEW (2016-2028)
TABLE 023. OTHERS MARKET OVERVIEW (2016-2028)
TABLE 024. NORTH AMERICA BOTNET DETECTION MARKET, BY OFFERING (2016-2028)
TABLE 025. NORTH AMERICA BOTNET DETECTION MARKET, BY DEPLOYMENT (2016-2028)
TABLE 026. NORTH AMERICA BOTNET DETECTION MARKET, BY APPLICATION (2016-2028)
TABLE 027. NORTH AMERICA BOTNET DETECTION MARKET, BY END USE INDUSTRY (2016-2028)
TABLE 028. N BOTNET DETECTION MARKET, BY COUNTRY (2016-2028)
TABLE 029. EUROPE BOTNET DETECTION MARKET, BY OFFERING (2016-2028)
TABLE 030. EUROPE BOTNET DETECTION MARKET, BY DEPLOYMENT (2016-2028)
TABLE 031. EUROPE BOTNET DETECTION MARKET, BY APPLICATION (2016-2028)
TABLE 032. EUROPE BOTNET DETECTION MARKET, BY END USE INDUSTRY (2016-2028)
TABLE 033. BOTNET DETECTION MARKET, BY COUNTRY (2016-2028)
TABLE 034. ASIA PACIFIC BOTNET DETECTION MARKET, BY OFFERING (2016-2028)
TABLE 035. ASIA PACIFIC BOTNET DETECTION MARKET, BY DEPLOYMENT (2016-2028)
TABLE 036. ASIA PACIFIC BOTNET DETECTION MARKET, BY APPLICATION (2016-2028)
TABLE 037. ASIA PACIFIC BOTNET DETECTION MARKET, BY END USE INDUSTRY (2016-2028)
TABLE 038. BOTNET DETECTION MARKET, BY COUNTRY (2016-2028)
TABLE 039. MIDDLE EAST & AFRICA BOTNET DETECTION MARKET, BY OFFERING (2016-2028)
TABLE 040. MIDDLE EAST & AFRICA BOTNET DETECTION MARKET, BY DEPLOYMENT (2016-2028)
TABLE 041. MIDDLE EAST & AFRICA BOTNET DETECTION MARKET, BY APPLICATION (2016-2028)
TABLE 042. MIDDLE EAST & AFRICA BOTNET DETECTION MARKET, BY END USE INDUSTRY (2016-2028)
TABLE 043. BOTNET DETECTION MARKET, BY COUNTRY (2016-2028)
TABLE 044. SOUTH AMERICA BOTNET DETECTION MARKET, BY OFFERING (2016-2028)
TABLE 045. SOUTH AMERICA BOTNET DETECTION MARKET, BY DEPLOYMENT (2016-2028)
TABLE 046. SOUTH AMERICA BOTNET DETECTION MARKET, BY APPLICATION (2016-2028)
TABLE 047. SOUTH AMERICA BOTNET DETECTION MARKET, BY END USE INDUSTRY (2016-2028)
TABLE 048. BOTNET DETECTION MARKET, BY COUNTRY (2016-2028)
TABLE 049. AKAMAI TECHNOLOGIES: SNAPSHOT
TABLE 050. AKAMAI TECHNOLOGIES: BUSINESS PERFORMANCE
TABLE 051. AKAMAI TECHNOLOGIES: PRODUCT PORTFOLIO
TABLE 052. AKAMAI TECHNOLOGIES: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 052. IMPERVA: SNAPSHOT
TABLE 053. IMPERVA: BUSINESS PERFORMANCE
TABLE 054. IMPERVA: PRODUCT PORTFOLIO
TABLE 055. IMPERVA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 055. PERIMETERX: SNAPSHOT
TABLE 056. PERIMETERX: BUSINESS PERFORMANCE
TABLE 057. PERIMETERX: PRODUCT PORTFOLIO
TABLE 058. PERIMETERX: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 058. INSTART LOGIC: SNAPSHOT
TABLE 059. INSTART LOGIC: BUSINESS PERFORMANCE
TABLE 060. INSTART LOGIC: PRODUCT PORTFOLIO
TABLE 061. INSTART LOGIC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 061. INTECHNICA: SNAPSHOT
TABLE 062. INTECHNICA: BUSINESS PERFORMANCE
TABLE 063. INTECHNICA: PRODUCT PORTFOLIO
TABLE 064. INTECHNICA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 064. ZENEDGE (ORACLE): SNAPSHOT
TABLE 065. ZENEDGE (ORACLE): BUSINESS PERFORMANCE
TABLE 066. ZENEDGE (ORACLE): PRODUCT PORTFOLIO
TABLE 067. ZENEDGE (ORACLE): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 067. WHITE OPS: SNAPSHOT
TABLE 068. WHITE OPS: BUSINESS PERFORMANCE
TABLE 069. WHITE OPS: PRODUCT PORTFOLIO
TABLE 070. WHITE OPS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 070. SHIELDSQUARE: SNAPSHOT
TABLE 071. SHIELDSQUARE: BUSINESS PERFORMANCE
TABLE 072. SHIELDSQUARE: PRODUCT PORTFOLIO
TABLE 073. SHIELDSQUARE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 073. KASADA: SNAPSHOT
TABLE 074. KASADA: BUSINESS PERFORMANCE
TABLE 075. KASADA: PRODUCT PORTFOLIO
TABLE 076. KASADA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 076. REBLAZE: SNAPSHOT
TABLE 077. REBLAZE: BUSINESS PERFORMANCE
TABLE 078. REBLAZE: PRODUCT PORTFOLIO
TABLE 079. REBLAZE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 079. INFISECURE: SNAPSHOT
TABLE 080. INFISECURE: BUSINESS PERFORMANCE
TABLE 081. INFISECURE: PRODUCT PORTFOLIO
TABLE 082. INFISECURE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 082. UNBOTIFY: SNAPSHOT
TABLE 083. UNBOTIFY: BUSINESS PERFORMANCE
TABLE 084. UNBOTIFY: PRODUCT PORTFOLIO
TABLE 085. UNBOTIFY: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 085. DIGITAL HANDS: SNAPSHOT
TABLE 086. DIGITAL HANDS: BUSINESS PERFORMANCE
TABLE 087. DIGITAL HANDS: PRODUCT PORTFOLIO
TABLE 088. DIGITAL HANDS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 088. INTEGRAL AD SCIENCE: SNAPSHOT
TABLE 089. INTEGRAL AD SCIENCE: BUSINESS PERFORMANCE
TABLE 090. INTEGRAL AD SCIENCE: PRODUCT PORTFOLIO
TABLE 091. INTEGRAL AD SCIENCE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 091. SHAPE SECURITY: SNAPSHOT
TABLE 092. SHAPE SECURITY: BUSINESS PERFORMANCE
TABLE 093. SHAPE SECURITY: PRODUCT PORTFOLIO
TABLE 094. SHAPE SECURITY: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 094. UNFRAUD: SNAPSHOT
TABLE 095. UNFRAUD: BUSINESS PERFORMANCE
TABLE 096. UNFRAUD: PRODUCT PORTFOLIO
TABLE 097. UNFRAUD: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 097. PIXALATE: SNAPSHOT
TABLE 098. PIXALATE: BUSINESS PERFORMANCE
TABLE 099. PIXALATE: PRODUCT PORTFOLIO
TABLE 100. PIXALATE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 100. APPSFLYER: SNAPSHOT
TABLE 101. APPSFLYER: BUSINESS PERFORMANCE
TABLE 102. APPSFLYER: PRODUCT PORTFOLIO
TABLE 103. APPSFLYER: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 103. VARITI: SNAPSHOT
TABLE 104. VARITI: BUSINESS PERFORMANCE
TABLE 105. VARITI: PRODUCT PORTFOLIO
TABLE 106. VARITI: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 106. MFILTERIT: SNAPSHOT
TABLE 107. MFILTERIT: BUSINESS PERFORMANCE
TABLE 108. MFILTERIT: PRODUCT PORTFOLIO
TABLE 109. MFILTERIT: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 109. CRITICALBLUE: SNAPSHOT
TABLE 110. CRITICALBLUE: BUSINESS PERFORMANCE
TABLE 111. CRITICALBLUE: PRODUCT PORTFOLIO
TABLE 112. CRITICALBLUE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 112. DATADOME: SNAPSHOT
TABLE 113. DATADOME: BUSINESS PERFORMANCE
TABLE 114. DATADOME: PRODUCT PORTFOLIO
TABLE 115. DATADOME: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 115. STEALTH SECURITY: SNAPSHOT
TABLE 116. STEALTH SECURITY: BUSINESS PERFORMANCE
TABLE 117. STEALTH SECURITY: PRODUCT PORTFOLIO
TABLE 118. STEALTH SECURITY: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 118. WHITE DIAGNOSTIC: SNAPSHOT
TABLE 119. WHITE DIAGNOSTIC: BUSINESS PERFORMANCE
TABLE 120. WHITE DIAGNOSTIC: PRODUCT PORTFOLIO
TABLE 121. WHITE DIAGNOSTIC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 121. OTHER MAJOR PLAYERS: SNAPSHOT
TABLE 122. OTHER MAJOR PLAYERS: BUSINESS PERFORMANCE
TABLE 123. OTHER MAJOR PLAYERS: PRODUCT PORTFOLIO
TABLE 124. OTHER MAJOR PLAYERS: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. BOTNET DETECTION MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. BOTNET DETECTION MARKET OVERVIEW BY OFFERING
FIGURE 012. STANDALONE SOLUTION MARKET OVERVIEW (2016-2028)
FIGURE 013. SERVICES MARKET OVERVIEW (2016-2028)
FIGURE 014. BOTNET DETECTION MARKET OVERVIEW BY DEPLOYMENT
FIGURE 015. CLOUD-BASED MARKET OVERVIEW (2016-2028)
FIGURE 016. ON-PREMISES MARKET OVERVIEW (2016-2028)
FIGURE 017. BOTNET DETECTION MARKET OVERVIEW BY APPLICATION
FIGURE 018. MOBILE SECURITY MARKET OVERVIEW (2016-2028)
FIGURE 019. APP SECURITY MARKET OVERVIEW (2016-2028)
FIGURE 020. DATABASE SECURITY MARKET OVERVIEW (2016-2028)
FIGURE 021. OTHERS MARKET OVERVIEW (2016-2028)
FIGURE 022. BOTNET DETECTION MARKET OVERVIEW BY END USE INDUSTRY
FIGURE 023. RETAIL & ECOMMERCE MARKET OVERVIEW (2016-2028)
FIGURE 024. BFSI MARKET OVERVIEW (2016-2028)
FIGURE 025. TRAVEL & HOSPITALITY MARKET OVERVIEW (2016-2028)
FIGURE 026. MEDIA & ENTERTAINMENT MARKET OVERVIEW (2016-2028)
FIGURE 027. OTHERS MARKET OVERVIEW (2016-2028)
FIGURE 028. NORTH AMERICA BOTNET DETECTION MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 029. EUROPE BOTNET DETECTION MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 030. ASIA PACIFIC BOTNET DETECTION MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 031. MIDDLE EAST & AFRICA BOTNET DETECTION MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 032. SOUTH AMERICA BOTNET DETECTION MARKET OVERVIEW BY COUNTRY (2016-2028)