The botnet detection market revenue estimated to total US$ 839.4 Million in 2023. The botnet detection market is expected to reach US$ 15,358.7 Million by 2033, growing at a CAGR of 33.7 % for 2023 to33.
Attributes | Details |
---|---|
Botnet Detection Market Estimated Value (2023) | US$ 839.4 Million |
Botnet Detection Market Projected Year (2033) Value | US$ 15,358.7 Million |
CAGR% (2023 to 2033) | 33.7% |
Top 5 Vendor Market Share | Around 45% |
Botnet detection market currently represents about 3-5% of sales of total network security market. Bot management is an increasingly vital tool that enables organizations to confront bad bots. Emerging smartphone technologies have resulted increase in the mobile botnets. This is because smartphones have become the most attractive targets for malware and botnet creators. Thus, detection of these phones have become a major priority to the users, which in turn is bolstering the market growth in the coming near future.
Market Statistics | Details |
---|---|
Jan - Jun (H1), 2021 (A) | 33.6% |
Jul - Dec (H2), 2021 (A) | 33.9% |
Jan - Jun (H1),2022 Projected (P) | 33.8% |
Jan - Jun (H1),2022 Outlook (O) | 34.2% |
Jul - Dec (H2), 2022 Outlook (O) | 34.5% |
Jul - Dec (H2), 2022 Projected (P) | 34.2% |
Jan - Jun (H1), 2023 Projected (P) | 34.2% |
BPS Change : H1,2022 (O) - H1,2022 (P) | (+)40 |
BPS Change : H1,2021 (O) - H1,2021 (A) | (+)60 |
BPS Change: H2, 2022 (O) - H2, 2022 (P) | (+)30 |
BPS Change: H1, 2021 (O) - H2, 2022 (A) | (+)60 |
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The botnet detection demand is estimated to grow at 33.7% CAGR between 2023 and 2033 in comparison with 31.6% CAGR during historic period of 2018 to 2022 as the adoption of botnet detection solutions and services is increasing with growing popularity of connected devices and increasing smartphone and internet penetration.
The complexity of modern cyber-attacks and advanced hacking methods are driving the demand for botnet detection among enterprises for better security. Increasing number of botnets are reported these days. For instance, FritzFrog botnet has resurfaced to attack education, healthcare, and government sectors.
This botnet managed to strike at least 500 government and enterprise SSH servers in eight months. Akamai Technologies has classified FritzFrog botnet as a "next-generation" botnet owing to a number of key features such as consistent update and upgrade cycles, an extensive dictionary used in brute-force attacks, and its decentralized architecture.
The increasing adoption of botnet detection solutions is helping enterprises in managing and mitigating risks associated with cyber-threats. Next-generation endpoint security uses modern machine learning, artificial intelligence (AI), and a tighter integration of network and device security to offer more comprehensive and adaptive protection. Next-gen security solutions incorporate real-time analysis of user and system behavior to analyze executables.
System failures in IT infrastructure can cause a payment failure that interrupts global business, while network connection loss shuts down government services like law enforcement. This factor is expected to create potential opportunities for botnet detection vendors over the forecast period.
Governments across the globe are adopting various initiatives to create the awareness about botnet detection and counter the botnet attacks. They are also taking precautionary measures in order to avoid any such instances taking place in the coming years.
For instance, as the part of the “Digital India Programme” the Government of India announced to set the cleaning and examination center for the botnet detection. Thus, this program targets to make the secure cyber space across the country.
Therefore, increase in the number of such government initiatives will create lucrative opportunities for the market growth encourage business owners will start adopting the botnet detection solutions in near future.
Lack of skilled technical professionals is one of the key factors responsible for hampering the botnet detection market growth. In most of the underdeveloped and developing countries lack of skilled technical expertise is acting as a major restrain to the market.
Further, as some of the detection methods are complex which need large processing time and also the trained professionals. Moreover, lack of awareness regarding the botnet related problems among the business is anticipated to hamper the market growth.
Countries | BPS Change (H2'22 (O) - H2'22 (P)) |
---|---|
USA | (+)36 |
India | (+)33 |
United Kingdom | (+)29 |
Japan | (+)28 |
China | (+)34 |
The H2’22(O)-H2’22(P) BPS change in Japan was of (+)28 units due to the rise in the number of cyber-attacks and increasing sophistication of botnets is driving the demand for effective botnet detection solutions. Where as in India organizations are becoming increasingly aware of the negative impact of botnets on their reputation and financial losses. This is driving the adoption of botnet detection solutions leading to the change of (+)33 units.
Due to the increasing use of cloud technology has created a need for network encryption solutions to secure data in transit between cloud data centres and end-users resulting in USA a BPS change of (+)36 units for the network encryption market.
China encountered a BPS change of (+)34 units for the network encryption market due to the increasing governments regulations and initiatives aimed at improving cybersecurity, which is driving the market growth of botnet detection technology.
United Kingdom witnessed a BPS of (+)29 BPS units for the network encryption market attributed to the development of advanced technologies such as artificial intelligence and machine learning is enhancing the capabilities of botnet detection solutions and driving their market growth.
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Demand for Intrusion Detection and Prevention Systems Supporting Growth in the USA.
The botnet detection demand in the USA is expected to account for nearly 68.9% of North America market share through 2033. In the USA, botnet detection providers are focusing on offering intrusion detection and intrusion prevention system that helps in identifying, analyzing and act against irregular deviation from intelligent attacks based on user behavior.
The USA and Canada are increasingly focusing on innovations derived via research and development initiatives and upgrading existing technologies. Demand in North America will continue soaring due to the increasing investments in botnet detection solutions to safeguard websites, APIs, and mobile apps from bot attacks.
Incremental Growth Registered in the United Kingdom to Boost Europe Botnet Detection Market
Europe is predicted to remain one of the most attractive markets over the forecast period. According to the study, United Kingdom is estimated to record an incremental opportunity of US$ 585.4 Million during the forecast period.
Countries in Europe are aggressively adopting security solutions in order to ensure safety and integrity of critical information related to citizens. In United Kingdom enterprises are implementing encryption solutions along with adoption of security compliance and updates for data encryption and email encryption to reduce potential data breaches with regard to emails.
Moreover, companies are regularly updating security solutions such as network security, data loss prevention, and other security measures to improve data integrity over the cloud.
Consistently Surging Malicious Botnet Attacks in Japan Positively Affecting Botnet Detection Demand
The sales revenue in Japan is estimated to grow at an impressive rate of around 38.1% CAGR between 2023 and 2033. In Japan, the IT sector is growing rapidly. Along with this, adoption of network security solutions is growing at a high growth rate. Dependence on networks is rising and this has led to surge in adoption of botnet detection solutions.
Holidays seasons sales in China and Japan witness a large increase in malicious botnet attacks on the eCommerce websites. Akamai Technologies has published a data reporting 15% increase in malicious botnet traffic in China around Lunar New Year. Moreover, it further shows an increase of 150% in such traffic in Japan around Gregorian New Year. Owing to this, there has been a huge rise in demand for botnet detection solutions in Japan.
Botnet Detection Solutions to Continue Leading Segment Based on Component
The botnet detection solution segment is expected to hold the largest share of the global market in terms of component. Whereas, the services segment is expected to grow at a higher CAGR over the forecast period. This services segment is predicted to grow by absolute opportunity of US$ 4,685.1 Million by the end of 2033.
The botnet detection market by services has been segmented into professional and managed services. The demand for services is directly related to the adoption level botnet detection solutions among organizations. The adoption of botnet detection solutions is increasing in order to APIs, mobile apps, and secure websites.
Increase in the number of enterprises coupled with the changing environment, securities related to the organization are turning complex, resulted in rise of zero-day malwares. Thus, botnets are the major threats in the current digital world. Hence, there has been a huge rise in demand for botnet detection solutions across the globe.
Demand for Improved IT Security Pushing Cloud-based Deployment
The cloud based deployment segment is expected to grow at a significant CAGR of 34.5% over the forecast period. Cloud-based deployment mode is expected to grow at a higher CAGR than on-premises deployment mode during the forecast period. Cloud-based deployment aids organizations with increased scalability, speed, 24/7 service, and improved IT security.
The demand for cloud-based botnet detection solutions is increasing at a rapid pace. Botnets are often controlled via Internet Relay Chat and one possible way to detect IRC-based botnets is to monitor TCP port 6667, which is a default port for IRC traffic. As more applications are deployed over the cloud, there is a shift from traditional on-premises botnet detection solutions to cloud-based botnet detection solutions across large enterprises and SMEs.
While Large Enterprises Will Remain Dominant, SMEs are Expected to Catch Up Soon
The small and medium-sized enterprises (SMEs) segment is expected to grow at a CAGR of 35.2% during forecast period. Small and medium-sized enterprises (SMEs) are adopting botnet detection solutions and services in order to cope with the rising risks and manage the Bot traffic.
Large enterprises segment is expected to hold the largest share of the global botnet detection market. The segment is expected to grow at a CAGR of 33% over the forecast period, while recording an incremental opportunity of US$ 7,752.8 Million till 2033.
Demand in the Media and Entertainment Industry To Remain Chief Growth Driver
Media and entertainment industry is estimated to grow at highest CAGR of 37.7% during the forecast period. The growth of the segment can be attributed to the increasing number of enterprises spending a major share on advertisements in order to attract new customers and eventually create brand awareness.
Botnet detection techniques are majorly adopted in media & entertainment industries to reduce vulnerabilities towards advertisements. Botnet attacks may also run illegal activities such as spreading fraudulent content, and others which affect the brand. Owing to this, the media and entertainment companies are constantly monitoring networks and servers to detect any unusual traffic patterns.
Furthermore, social media platforms are also anticipated to get affected by botnet attacks with the use of automated accounts. Hence, demand for botnet detection is expected to increase in the media and entertainment industry.
Botnet detection market players are focusing on various strategies for increasing their investments in research and development to support future technologies. In addition, several companies are acquiring and entering into partnership with other companies to develop their own botnet detection to serve the customers and increase company market shares across geographies.
Attribute | Details |
---|---|
Market value in 2023 | US$ 635.4 Million |
Market CAGR 2023 to 2033 | 33.6% |
Share of top 5 players | Around 45% |
Forecast Period | 2023 to 2033 |
Historical Data Available for | 2018 to 2022 |
Market Analysis | USD Million for Value |
Key Regions Covered | North America; Latin America; Europe; South Asia & Pacific; East Asia and the Middle East & Africa |
Key Countries Covered | USA, Canada, Germany, United Kingdom, France, Italy, Spain, Russia, China, Japan, South Korea, India, Australia & New Zealand, GCC Countries, Turkey and South Africa |
Key Segments Covered | Component, Deployment, Enterprise Size, Industry and Region |
Key Companies Profiled | Akamai Technologies; Imperva; Distil Networks; PerimeterX; ShieldSquare; Unfraud; Instart Logic; Pixalate; Reblaze; White Ops; Shape Security; Integral Ad Science; InfiSecure; DataDome; CriticalBlue; Digital Hands; Stealth Security; Unbotify |
Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, DROT Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
Customization & Pricing | Available upon Request |
In 2023, the worldwide market value could be around US$ 839.4 million.
The overall demand is anticipated to grow at 33.7% per year till 2033.
The United States leads accounting for nearly 68.9% share in 2022.
The regional market to record US$ 585.4 million increment by 2033.
Akmai, Imperva, and Distil Networks are some top players in the present market.
1. Executive Summary | Botnet Detection Market
1.1. Global Market Outlook
1.2. Demand Side Trends
1.3. Supply Side Trends
1.4. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition
3. Key Market Trends
3.1. Key Trends Impacting the Market
3.2. Product Innovation / Development Trends
4. Pricing Analysis
4.1. Types of Pricing Model
4.1.1. Subscription Pricing Model
4.1.2. Perpetual Licensing
4.2. Average pricing analysis benchmark
5. Global Market Demand (in Value in US$ Million) Analysis 2018 to 2022 and Forecast, 2023 to 2033
5.1. Historical Market Value (US$ Million) Analysis, 2018 to 2022
5.2. Current and Future Market Value (US$ Million) Projections, 2023 to 2033
5.2.1. Y-o-Y Growth Trend Analysis
5.2.2. Absolute $ Opportunity Analysis
6. Market Background
6.1. Macro-Economic Factors
6.2. Forecast Factors - Relevance & Impact
6.3. Value Chain Analysis
6.4. COVID-19 Crisis – Impact Assessment
6.4.1. Current Statistics
6.4.2. Short-Mid-Long Term Outlook
6.4.3. Likely Rebound
6.5. Market Dynamics
6.5.1. Drivers
6.5.2. Restraints
6.5.3. Opportunities
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component
7.1. Introduction / Key Findings
7.2. Historical Market Size (US$ Million) Analysis By Component, 2018 to 2022
7.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Component, 2023 to 2033
7.4. Botnet Detection Solution
7.5. Services
7.5.1. Professional Services
7.5.2. Managed Services
7.6. Market Attractiveness Analysis By Component
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment
8.1. Introduction / Key Findings
8.2. Historical Market Size (US$ Million) Analysis By Deployment, 2018 to 2022
8.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Deployment, 2023 to 2033
8.3.1. Cloud-based
8.3.2. On-premises
8.4. Market Attractiveness Analysis By Deployment
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Enterprise Size
9.1. Introduction / Key Findings
9.2. Historical Market Size (US$ Million) Analysis By Enterprise Size, 2018 to 2022
9.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Enterprise Size, 2023 to 2033
9.4. Small and Medium-sized Enterprises (SMEs)
9.5. Large Enterprises
9.6. Market Attractiveness Analysis By Enterprise Size
10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Industry
10.1. Introduction / Key Findings
10.2. Historical Market Size (US$ Million) Analysis By Industry, 2018 to 2022
10.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Industry, 2023 to 2033
10.3.1. BFSI
10.3.2. Healthcare
10.3.3. IT and Telecom
10.3.4. Retail
10.3.5. Media and Entertainment
10.3.6. Travel and Hospitality
10.3.7. Government
10.3.8. Others
10.4. Market Attractiveness Analysis By Industry
11. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Region
11.1. Introduction / Key Findings
11.2. Historical Market Size (US$ Million) Analysis By Region, 2018 to 2022
11.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Region, 2023 to 2033
11.3.1. North America
11.3.2. Latin America
11.3.3. Europe
11.3.4. East Asia
11.3.5. South Asia & Pacific
11.3.6. Middle East & Africa
11.4. Market Attractiveness Analysis By Region
12. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033
12.1. Introduction
12.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.3.1. By Component
12.3.2. By Deployment
12.3.3. By Enterprise Size
12.3.4. By Industry
12.3.5. By Country
12.3.5.1. The USA
12.3.5.2. Canada
12.4. Market Attractiveness Analysis
12.4.1. By Component
12.4.2. By Deployment
12.4.3. By Enterprise Size
12.4.4. By Industry
12.4.5. By Country
12.5. Market Trends
12.6. Key Market Participants - Intensity Mapping
13. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033
13.1. Introduction
13.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.3.1. By Component
13.3.2. By Deployment
13.3.3. By Enterprise Size
13.3.4. By Industry
13.3.5. By Country
13.3.5.1. Brazil
13.3.5.2. Mexico
13.3.5.3. Rest of Latin America
13.4. Market Attractiveness Analysis
13.4.1. By Component
13.4.2. By Deployment
13.4.3. By Enterprise Size
13.4.4. By Industry
13.4.5. By Country
13.5. Market Trends
13.6. Key Market Participants - Intensity Mapping
14. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033
14.1. Introduction
14.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.3.1. By Component
14.3.2. By Deployment
14.3.3. By Enterprise Size
14.3.4. By Industry
14.3.5. By Country
14.3.5.1. Germany
14.3.5.2. Italy
14.3.5.3. France
14.3.5.4. United Kingdom
14.3.5.5. Spain
14.3.5.6. BENELUX
14.3.5.7. Russia
14.3.5.8. Rest of Europe
14.4. Market Attractiveness Analysis
14.4.1. By Component
14.4.2. By Deployment
14.4.3. By Enterprise Size
14.4.4. By Industry
14.4.5. By Country
14.5. Market Trends
14.6. Key Market Participants - Intensity Mapping
15. South Asia & Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033
15.1. Introduction
15.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.3.1. By Component
15.3.2. By Deployment
15.3.3. By Enterprise Size
15.3.4. By Industry
15.3.5. By Country
15.3.5.1. India
15.3.5.2. Indonesia
15.3.5.3. Malaysia
15.3.5.4. Singapore
15.3.5.5. Australia & New Zealand
15.3.5.6. Rest of South Asia & Pacific
15.4. Market Attractiveness Analysis
15.4.1. By Component
15.4.2. By Deployment
15.4.3. By Enterprise Size
15.4.4. By Industry
15.4.5. By Country
15.5. Market Trends
15.6. Key Market Participants - Intensity Mapping
16. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033
16.1. Introduction
16.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
16.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
16.3.1. By Component
16.3.2. By Deployment
16.3.3. By Enterprise Size
16.3.4. By Industry
16.3.5. By Country
16.3.5.1. China
16.3.5.2. Japan
16.3.5.3. South Korea
16.4. Market Attractiveness Analysis
16.4.1. By Component
16.4.2. By Deployment
16.4.3. By Enterprise Size
16.4.4. By Industry
16.4.5. By Country
16.5. Market Trends
16.6. Key Market Participants - Intensity Mapping
17. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033
17.1. Introduction
17.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
17.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
17.3.1. By Component
17.3.2. By Deployment
17.3.3. By Enterprise Size
17.3.4. By Industry
17.3.5. By Country
17.3.5.1. GCC Countries
17.3.5.2. Turkey
17.3.5.3. South Africa
17.3.5.4. Rest of Middle East and Africa
17.4. Market Attractiveness Analysis
17.4.1. By Component
17.4.2. By Deployment
17.4.3. By Enterprise Size
17.4.4. By Industry
17.4.5. By Country
17.5. Market Trends
17.6. Key Market Participants - Intensity Mapping
18. Country wise-Market
18.1. USA Market Analysis
18.1.1. By Component
18.1.2. By Deployment
18.1.3. By Enterprise Size
18.1.4. By Industry
18.2. Canada Market Analysis
18.2.1. By Component
18.2.2. By Deployment
18.2.3. By Enterprise Size
18.2.4. By Industry
18.3. Mexico Market Analysis
18.3.1. By Component
18.3.2. By Deployment
18.3.3. By Enterprise Size
18.3.4. By Industry
18.4. Brazil Market Analysis
18.4.1. By Component
18.4.2. By Deployment
18.4.3. By Enterprise Size
18.4.4. By Industry
18.5. Germany Market Analysis
18.5.1. By Component
18.5.2. By Deployment
18.5.3. By Enterprise Size
18.5.4. By Industry
18.6. Italy Market Analysis
18.6.1. By Component
18.6.2. By Deployment
18.6.3. By Enterprise Size
18.6.4. By Industry
18.7. France Market Analysis
18.7.1. By Component
18.7.2. By Deployment
18.7.3. By Enterprise Size
18.7.4. By Industry
18.8. United Kingdom Market Analysis
18.8.1. By Component
18.8.2. By Deployment
18.8.3. By Enterprise Size
18.8.4. By Industry
18.9. Spain Market Analysis
18.9.1. By Component
18.9.2. By Deployment
18.9.3. By Enterprise Size
18.9.4. By Industry
18.10. BENELUX Market Analysis
18.10.1. By Component
18.10.2. By Deployment
18.10.3. By Enterprise Size
18.10.4. By Industry
18.11. Russia Market Analysis
18.11.1. By Component
18.11.2. By Deployment
18.11.3. By Enterprise Size
18.11.4. By Industry
18.12. China Market Analysis
18.12.1. By Component
18.12.2. By Deployment
18.12.3. By Enterprise Size
18.12.4. By Industry
18.13. Japan Market Analysis
18.13.1. By Component
18.13.2. By Deployment
18.13.3. By Enterprise Size
18.13.4. By Industry
18.14. South Korea Market Analysis
18.14.1. By Component
18.14.2. By Deployment
18.14.3. By Enterprise Size
18.14.4. By Industry
18.15. India Market Analysis
18.15.1. By Component
18.15.2. By Deployment
18.15.3. By Enterprise Size
18.15.4. By Industry
18.16. Malaysia Market Analysis
18.16.1. By Component
18.16.2. By Deployment
18.16.3. By Enterprise Size
18.16.4. By Industry
18.17. Indonesia Market Analysis
18.17.1. By Component
18.17.2. By Deployment
18.17.3. By Enterprise Size
18.17.4. By Industry
18.18. Singapore Market Analysis
18.18.1. By Component
18.18.2. By Deployment
18.18.3. By Enterprise Size
18.18.4. By Industry
18.19. Australia and New Zealand Market Analysis
18.19.1. By Component
18.19.2. By Deployment
18.19.3. By Enterprise Size
18.19.4. By Industry
18.20. GCC Countries Market Analysis
18.20.1. By Component
18.20.2. By Deployment
18.20.3. By Enterprise Size
18.20.4. By Industry
18.21. Turkey Market Analysis
18.21.1. By Component
18.21.2. By Deployment
18.21.3. By Enterprise Size
18.21.4. By Industry
18.22. South Africa Market Analysis
18.22.1. By Component
18.22.2. By Deployment
18.22.3. By Enterprise Size
18.22.4. By Industry
19. Market Structure Analysis
19.1. Market Analysis by Tier of Companies
19.2. Market Share Analysis of Top Players
19.3. Market Presence Analysis, Regional footprint by Players
20. Competition Analysis
20.1. Competition Dashboard
20.2. Competition Deep Dive
20.2.1. Akami Technologies
20.2.1.1. Business Overview
20.2.1.2. Solution Portfolio
20.2.1.3. Profitability by Market Segments (Business Segment/Region)
20.2.1.4. Strategy Overview
20.2.1.4.1. Marketing Strategy
20.2.1.4.2. Product Strategy
20.2.2. Imperva
20.2.2.1. Business Overview
20.2.2.2. Solution Portfolio
20.2.2.3. Profitability by Market Segments (Business Segment/Region)
20.2.2.4. Strategy Overview
20.2.2.4.1. Marketing Strategy
20.2.2.4.2. Product Strategy
20.2.3. Distil Networks
20.2.3.1. Business Overview
20.2.3.2. Solution Portfolio
20.2.3.3. Profitability by Market Segments (Business Segment/Region)
20.2.3.4. Strategy Overview
20.2.3.4.1. Marketing Strategy
20.2.3.4.2. Product Strategy
20.2.4. PerimeterX
20.2.4.1. Business Overview
20.2.4.2. Solution Portfolio
20.2.4.3. Profitability by Market Segments (Business Segment/Region)
20.2.4.4. Strategy Overview
20.2.4.4.1. Marketing Strategy
20.2.4.4.2. Product Strategy
20.2.5. ShieldSquare
20.2.5.1. Business Overview
20.2.5.2. Solution Portfolio
20.2.5.3. Profitability by Market Segments (Business Segment/Region)
20.2.5.4. Strategy Overview
20.2.5.4.1. Marketing Strategy
20.2.5.4.2. Product Strategy
20.2.6. Unfraud
20.2.6.1. Business Overview
20.2.6.2. Solution Portfolio
20.2.6.3. Profitability by Market Segments (Business Segment/Region)
20.2.6.4. Strategy Overview
20.2.6.4.1. Marketing Strategy
20.2.6.4.2. Product Strategy
20.2.7. Instart Logic
20.2.7.1. Business Overview
20.2.7.2. Solution Portfolio
20.2.7.3. Profitability by Market Segments (Business Segment/Region)
20.2.7.4. Strategy Overview
20.2.7.4.1. Marketing Strategy
20.2.7.4.2. Product Strategy
20.2.8. Pixalate
20.2.8.1. Business Overview
20.2.8.2. Solution Portfolio
20.2.8.3. Profitability by Market Segments (Business Segment/Region)
20.2.8.4. Strategy Overview
20.2.8.4.1. Marketing Strategy
20.2.8.4.2. Product Strategy
20.2.9. Reblaze
20.2.9.1. Business Overview
20.2.9.2. Solution Portfolio
20.2.9.3. Profitability by Market Segments (Business Segment/Region)
20.2.9.4. Strategy Overview
20.2.9.4.1. Marketing Strategy
20.2.9.4.2. Product Strategy
20.2.10. White Ops
20.2.10.1. Business Overview
20.2.10.2. Solution Portfolio
20.2.10.3. Profitability by Market Segments (Business Segment/Region)
20.2.10.4. Strategy Overview
20.2.10.4.1. Marketing Strategy
20.2.10.4.2. Product Strategy
20.2.11. Shape Security
20.2.11.1. Business Overview
20.2.11.2. Solution Portfolio
20.2.11.3. Profitability by Market Segments (Business Segment/Region)
20.2.11.4. Strategy Overview
20.2.11.4.1. Marketing Strategy
20.2.11.4.2. Product Strategy
20.2.12. Integral Ad Science
20.2.12.1. Business Overview
20.2.12.2. Solution Portfolio
20.2.12.3. Profitability by Market Segments (Business Segment/Region)
20.2.12.4. Strategy Overview
20.2.12.4.1. Marketing Strategy
20.2.12.4.2. Product Strategy
20.2.13. InfiSecure
20.2.13.1. Business Overview
20.2.13.2. Solution Portfolio
20.2.13.3. Profitability by Market Segments (Business Segment/Region)
20.2.13.4. Strategy Overview
20.2.13.4.1. Marketing Strategy
20.2.13.4.2. Product Strategy
20.2.14. DataDome
20.2.14.1. Business Overview
20.2.14.2. Solution Portfolio
20.2.14.3. Profitability by Market Segments (Business Segment/Region)
20.2.14.4. Strategy Overview
20.2.14.4.1. Marketing Strategy
20.2.14.4.2. Product Strategy
20.2.15. CriticalBlue
20.2.15.1. Business Overview
20.2.15.2. Solution Portfolio
20.2.15.3. Profitability by Market Segments (Business Segment/Region)
20.2.15.4. Strategy Overview
20.2.15.4.1. Marketing Strategy
20.2.15.4.2. Product Strategy
20.2.16. Digital Hands
20.2.16.1. Business Overview
20.2.16.2. Solution Portfolio
20.2.16.3. Profitability by Market Segments (Business Segment/Region)
20.2.16.4. Strategy Overview
20.2.16.4.1. Marketing Strategy
20.2.16.4.2. Product Strategy
20.2.17. Stealth Security
20.2.17.1. Business Overview
20.2.17.2. Solution Portfolio
20.2.17.3. Profitability by Market Segments (Business Segment/Region)
20.2.17.4. Strategy Overview
20.2.17.4.1. Marketing Strategy
20.2.17.4.2. Product Strategy
20.2.18. Unbotify
20.2.18.1. Business Overview
20.2.18.2. Solution Portfolio
20.2.18.3. Profitability by Market Segments (Business Segment/Region)
20.2.18.4. Strategy Overview
20.2.18.4.1. Marketing Strategy
20.2.18.4.2. Product Strategy
21. Assumptions and Acronyms Used
22. Research Methodolog
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