The global deception technology industry size is projected to reach US$ 2 billion in 2023. By 2033, it is expected to surge to US$ 6.7 billion, reflecting a CAGR of 12.6% between 2023 and 2033. The market might present an absolute dollar opportunity of US$ 4.7 billion during the same period.
Evolving nature of cyber threats has necessitated a shift in security strategies. Traditional security measures such as firewalls and antivirus software are no longer sufficient to protect against sophisticated attacks.
Deception technology offers a proactive defense mechanism by creating a network of deceptive traps and decoys that divert and detect attackers. This innovative approach is set to provide organizations with an additional layer of security. This would hence make it an attractive solution to combat emerging cyber threats.
Deception technology enhances an organization's detection and response capabilities. By deploying realistic decoys, organizations can lure attackers away from critical assets. They can also gain valuable insights into their tactics, techniques, and motives.
Such early detection allows for swift response and remediation, minimizing the potential damage caused by cyber-attacks. Ability to proactively detect threats and respond effectively is a significant driver behind the increasing demand for deception technology.
Insider threats might also pose a significant risk to organizations, making it crucial to implement measures to mitigate such risks. Deception technology can play a pivotal role in addressing insider threats by creating decoys and traps that are only visible to insiders.
The approach allows organizations to identify malicious insiders or compromised accounts and take appropriate actions. By providing a proactive means to detect and prevent insider threats, deception technology is set to offer enhanced security and peace of mind for organizations.
Compliance and regulatory requirements would further play a significant role in driving deception technology demand. Various sectors such as healthcare, finance, and government are subject to stringent data protection and security regulations.
Deception technology helps organizations meet these requirements by providing an advanced security solution that goes beyond basic compliance measures. By demonstrating proactive security measures, organizations can ensure they are meeting regulatory standards and avoiding potential penalties.
Deception technology can also be a cost-effective security solution for organizations. By deploying decoys and traps strategically, organizations can achieve a higher level of security without significant investments in additional hardware. Cost of implementing deception technology can hence be seen as a worthwhile investment.
Certain sectors such as defense, critical infrastructure, and high-tech manufacturing have unique security requirements due to sensitive nature or value of their intellectual property. Deception technology offers tailored solutions to address these specific needs. It might hence provide customized decoys and traps that align with industry-specific threats and attack vectors.
Latest Deception Technology Market Trends Listed by Future Market Insights (FMI):
| Attributes | Key Insights |
|---|---|
| Deception Technology Market Estimated Size (2023E) | US$ 2 billion |
| Projected Market Valuation (2033F) | US$ 6.7 billion |
| Value-based CAGR (2023 to 2033) | 12.6% |
| Japan Value-based CAGR (2023 to 2033) | 12.5% |
| South Korea Value-based CAGR (2023 to 2033) | 12.2% |
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As per Future Market Insights (FMI), the global deception technology market is likely to witness a CAGR of 12.6% in the evaluation period. It witnessed considerable growth at 14.2% CAGR in the historical period.
Over the years, cyber-attacks have become increasingly sophisticated, with attackers employing advanced techniques and evading traditional security measures. As organizations faced more sophisticated threats, they realized the need for innovative security solutions that could effectively detect and mitigate these attacks. Deception technology emerged as a proactive approach to counter these advanced threats, leading to rising demand.
Timely detection of cyber threats is critical in minimizing the potential damage caused by attacks. Deception technology provides organizations with the ability to detect threats at an early stage.
By deploying decoys and traps that attract attackers, organizations would gain valuable insights into their tactics and intentions. This early detection empowers organizations to respond swiftly, effectively thwarting attacks and reducing the impact on their systems and data.
Compliance regulations have become more stringent across various sectors, necessitating robust security measures. Deception technology aligns with these requirements by providing proactive security measures and enhancing threat detection capabilities.
Organizations are increasingly adopting deception technology to fulfill compliance obligations. They are also focusing on demonstrating their commitment to safeguarding sensitive information.
As awareness of cyber threats and their potential impact has grown, organizations have become more proactive in adopting advanced security solutions. Industry reports, cybersecurity events, and awareness campaigns have contributed to a better understanding of the benefits and effectiveness of deception technology. This increased awareness has fueled demand for deception technology as organizations strive to stay ahead of emerging threats.
Traditional security measures such as firewalls and antivirus software focus on perimeter defense and signature-based detection. However, these measures often fail to detect and prevent targeted attacks, zero-day exploits, and insider threats.
Deception technology offers an alternative and complementary approach to security by creating a deceptive environment that can detect attacks missed by traditional solutions. This realization of limitations of traditional security measures has contributed to increased deception technology demand.
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Strict Government Norms in China to Propel Demand for Deception Technology Products
China deception technology market is projected to witness a CAGR of 12.5% from 2023 to 2033. It is set to create an incremental opportunity of US$ 1 billion in the next ten years.
China's rapidly growing digital landscape and increasing reliance on technology have made it a prime target for cyber threats. With continuous rise in cyber-attacks, organizations in China are recognizing the need for robust defense mechanisms. These include deception technology to safeguard their critical assets and sensitive information.
The country’s growing emphasis on cybersecurity is another vital factor that might support growth. The government of China has implemented stringent regulations and standards to ensure data protection & secure digital infrastructure.
Compliance with these regulations necessitates adoption of advanced security solutions. Hence, adoption of deception technology is set to surge with urgent need to effectively detect and mitigate cyber threats.
In November 2021, for instance, the government implemented the personal information protection law (PIPL). In September 2021, it had put forward the data security law (DSL).
Rising High-profile Cyber-attacks to Augment Sales among Deception Technology Vendors in the United States
Evolving nature of cyber threats has become a vital concern for organizations across various sectors in the United States. Traditional security measures are often insufficient in detecting and preventing advanced attacks. It might lead to an increased recognition of the need for innovative solutions such as deception technology.
The United States has also witnessed a surge in high-profile cyber-attacks targeting both government agencies and private enterprises. These attacks have highlighted vulnerabilities in existing security measures and emphasized the importance of proactive defense strategies.
Deception technology provides organizations with the ability to detect and respond to threats at an early stage. It would also allow them to mitigate potential damage and minimize the impact of cyber-attacks.
Numerous federal government institutions in the United States recently fell victim to a large-scale cyberattack orchestrated by Russia-based cybercriminals. The attack exploits a vulnerability found in widely utilized software.
Various federal agencies are being assisted by the United States Cybersecurity and Infrastructure Security Agency due to the impact of attacks. Incidents of such crucial cyber-attacks are likely to emerge in the country, pushing deception technology demand.
The United States deception technology market witnessed a CAGR of 14.1% in the historical period. It is predicted to record steady growth at a CAGR of 12.5% from 2023 to 2033.
High Cyber-attacks in Finance Firms in the United Kingdom to Support Deception Platform Demand
The United Kingdom deception technology market is anticipated to surpass a valuation of US$ 264 million by 2033. It is predicted to register a CAGR of 12.3% from 2023 to 2033.
Potential for the United Kingdom to emerge as a key destination for deception technology vendors is evident. With its robust cybersecurity ecosystem, technological advancements, and strong demand, the country offers favorable conditions for growth and establishment.
The country's reputation as a global hub for technology and innovation, coupled with its focus on cybersecurity and data protection, makes it an attractive market for providers. Furthermore, the United Kingdom’s diverse sectors might present ample opportunities for deception technology adoption.
Compliance and regulatory requirements might play a significant role in driving demand for deception technology in the country. Organizations operating in highly regulated sectors such as finance and healthcare need to adhere to stringent data protection and privacy regulations. Deception technology can help organizations meet compliance obligations, contributing to its increasing adoption.
According to IBM's X-Force Threat Intelligence Index research, 43% of attacks seen in Europe over the past 12 months originated in the United Kingdom. In 2022, 16% of the United Kingdom’s cyberattacks targeted the energy and financial sector, which together saw the biggest breaches.
The country hence has a strong focus on research, development, and innovation in the field of cybersecurity. This fosters a supportive environment for emerging technologies such as deception technology.
It would help in attracting both homegrown and international providers to offer their solutions in the country’s market. Availability of skilled cybersecurity professionals and a collaborative ecosystem might further contribute to rising demand for deception technology.
Demand for Deception Technology Solutions to Skyrocket Worldwide
In terms of offering, the global deception technology market is segregated into solution and service. The solution segment is projected to dominate the market by exhibiting 12.4% CAGR in the assessment period. It showcased a CAGR of 14.0% in the historical period.
Deception technology solutions provide organizations with a proactive and automated approach to cybersecurity. These solutions create a network of deceptive traps and decoys that mimic real assets, luring attackers away from critical systems and data.
The proactive defense mechanism allows for early threat detection and reduces the time required for incident response. Hence, deception technology solutions are considered highly efficient, which would propel their demand.
Deception technology solutions also offer scalability and ease of deployment. Once implemented, deception environment can be scaled and customized to fit the organization's specific needs.
High flexibility allows organizations to adapt and expand their deception infrastructure as their security requirements evolve. In contrast, services typically require ongoing engagement and dependency on external providers. It further makes them less flexible and potentially costlier in the long run.
Deception in Network Security to Gain Traction in the Next Ten Years
By deception stack, the network security segment is predicted to witness 12.2% CAGR from 2023 to 2033. Between 2018 and 2022, the segment recorded a CAGR of 13.8%.
Traditional security measures have proven to be insufficient in defending against sophisticated cyber threats. Attackers continuously evolve their tactics, making it challenging for traditional security solutions to keep up.
Network security deception stack offers a proactive approach by deploying decoys, lures, and traps throughout the network infrastructure. It helps in creating an illusion of a larger attack surface and diverting attackers from critical assets. This innovative approach is set to enhance security posture and help organizations stay one step ahead of adversaries.
Network security deception stack also provides early threat detection capabilities. By placing decoys and traps strategically, organizations can quickly identify unauthorized activities and potential breaches within their network.
Deception stack generates alerts when attackers interact with deceptive elements, allowing security teams to respond promptly and mitigate potential damage. This early detection and response might reduce dwell time of attackers, minimizing the impact of cyber incidents and preventing data breaches.
The competitive landscape of the deception technology industry is dynamic and evolving. The industry consists of a mix of established players, emerging start-ups, and niche solution providers.
Several well-established companies have gained prominence as market leaders in the deception technology space. These companies have a strong market presence, extensive customer base, and a wide range of deception technology offerings.
They often have a track record of successful implementations and partnerships with other cybersecurity vendors. Market leaders tend to invest heavily in research & development to stay ahead of emerging threats and continuously improve their solutions.
Collaboration and strategic partnerships are prevalent in the deception technology market. Companies often form alliances with complementary cybersecurity vendors, managed security service providers, or system integrators to broaden their reach.
They are also aiming to expand their customer base and offer comprehensive solutions. Partnerships can enhance market competitiveness by combining strengths and leveraging synergies.
For instance,
| Attribute | Details |
|---|---|
| Estimated Market Size (2023) | US$ 2 billion |
| Projected Market Valuation (2033) | US$ 6.7 billion |
| Value-based CAGR (2023 to 2033) | 12.6% |
| Forecast Period | 2023 to 2033 |
| Historical Data Available for | 2018 to 2022 |
| Quantitative Units | Value (US$ billion) |
| Key Regions Covered | North America; Latin America; Western Europe; Eastern Europe; East Asia; South Asia and Pacific; Middle East & Africa |
| Key Countries Covered | United States, Canada, Brazil, Mexico, Argentina, Germany, Italy, France, United Kingdom, Spain, Benelux, Nordics, Poland, Romania, Hungary, Czech Republic, China, Japan, South Korea, India, Australia and Zealand, Association of Southeast Asian Nations, Türkiye, South Africa, Gulf Cooperation Council Countries |
| Key Segments Covered | Offering, Enterprise Size, Deception Stack, Industry Vertical, and Region |
| Key Companies Profiled | Attivo Networks; Rapid7; Illusive Networks; Guardicore; LogRhythm |
| Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, Drivers, Restraints, Opportunities, Trends Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
The market is valued at US$ 2 billion in 2023.
Attivo Networks, Rapid7, and Illusive Networks are key market players.
The solution segment is highly preferred by exhibiting a 12.4% CAGR.
The network security segment is predicted to witness a 12.2% CAGR from 2023 to 2033.
The market is estimated to reach US$ 6.7 billion by 2033.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ billion) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ billion) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Offering 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ billion) Analysis By Offering, 2018 to 2022 5.3. Current and Future Market Size Value (US$ billion) Analysis and Forecast By Offering, 2023 to 2033 5.3.1. Solution 5.3.2. Service 5.4. Y-o-Y Growth Trend Analysis By Offering, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Offering, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deception Stack 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ billion) Analysis By Deception Stack, 2018 to 2022 6.3. Current and Future Market Size Value (US$ billion) Analysis and Forecast By Deception Stack, 2023 to 2033 6.3.1. Network Security 6.3.2. Endpoint Security 6.3.3. Application Security 6.4. Y-o-Y Growth Trend Analysis By Deception Stack, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Deception Stack, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Enterprise Size 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ billion) Analysis By Enterprise Size, 2018 to 2022 7.3. Current and Future Market Size Value (US$ billion) Analysis and Forecast By Enterprise Size, 2023 to 2033 7.3.1. Large Enterprises 7.3.2. Small and Medium-sized Enterprises (SMEs) 7.4. Y-o-Y Growth Trend Analysis By Enterprise Size, 2018 to 2022 7.5. Absolute $ Opportunity Analysis By Enterprise Size, 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Industry Vertical 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ billion) Analysis By Industry Vertical, 2018 to 2022 8.3. Current and Future Market Size Value (US$ billion) Analysis and Forecast By Industry Vertical, 2023 to 2033 8.3.1. BFSI 8.3.2. Government and Defense 8.3.3. Retail and E-commerce 8.3.4. Healthcare 8.3.5. IT and Telecom 8.3.6. Energy and Utilities 8.3.7. Manufacturing 8.3.8. Education 8.3.9. Others 8.4. Y-o-Y Growth Trend Analysis By Industry Vertical, 2018 to 2022 8.5. Absolute $ Opportunity Analysis By Industry Vertical, 2023 to 2033 9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 9.1. Introduction 9.2. Historical Market Size Value (US$ billion) Analysis By Region, 2018 to 2022 9.3. Current Market Size Value (US$ billion) Analysis and Forecast By Region, 2023 to 2033 9.3.1. North America 9.3.2. Latin America 9.3.3. Western Europe 9.3.4. Eastern Europe 9.3.5. South Asia and Pacific 9.3.6. East Asia 9.3.7. Middle East and Africa 9.4. Market Attractiveness Analysis By Region 10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. United States 10.2.1.2. Canada 10.2.2. By Offering 10.2.3. By Deception Stack 10.2.4. By Enterprise Size 10.2.5. By Industry Vertical 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Offering 10.3.3. By Deception Stack 10.3.4. By Enterprise Size 10.3.5. By Industry Vertical 10.4. Key Takeaways 11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Brazil 11.2.1.2. Mexico 11.2.1.3. Rest of Latin America 11.2.2. By Offering 11.2.3. By Deception Stack 11.2.4. By Enterprise Size 11.2.5. By Industry Vertical 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Offering 11.3.3. By Deception Stack 11.3.4. By Enterprise Size 11.3.5. By Industry Vertical 11.4. Key Takeaways 12. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. Germany 12.2.1.2. United Kingdom 12.2.1.3. France 12.2.1.4. Spain 12.2.1.5. Italy 12.2.1.6. Rest of Western Europe 12.2.2. By Offering 12.2.3. By Deception Stack 12.2.4. By Enterprise Size 12.2.5. By Industry Vertical 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Offering 12.3.3. By Deception Stack 12.3.4. By Enterprise Size 12.3.5. By Industry Vertical 12.4. Key Takeaways 13. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. Poland 13.2.1.2. Russia 13.2.1.3. Czech Republic 13.2.1.4. Romania 13.2.1.5. Rest of Eastern Europe 13.2.2. By Offering 13.2.3. By Deception Stack 13.2.4. By Enterprise Size 13.2.5. By Industry Vertical 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Offering 13.3.3. By Deception Stack 13.3.4. By Enterprise Size 13.3.5. By Industry Vertical 13.4. Key Takeaways 14. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. India 14.2.1.2. Bangladesh 14.2.1.3. Australia 14.2.1.4. New Zealand 14.2.1.5. Rest of South Asia and Pacific 14.2.2. By Offering 14.2.3. By Deception Stack 14.2.4. By Enterprise Size 14.2.5. By Industry Vertical 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Offering 14.3.3. By Deception Stack 14.3.4. By Enterprise Size 14.3.5. By Industry Vertical 14.4. Key Takeaways 15. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2018 to 2022 15.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2023 to 2033 15.2.1. By Country 15.2.1.1. China 15.2.1.2. Japan 15.2.1.3. South Korea 15.2.2. By Offering 15.2.3. By Deception Stack 15.2.4. By Enterprise Size 15.2.5. By Industry Vertical 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Offering 15.3.3. By Deception Stack 15.3.4. By Enterprise Size 15.3.5. By Industry Vertical 15.4. Key Takeaways 16. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 16.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2018 to 2022 16.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2023 to 2033 16.2.1. By Country 16.2.1.1. GCC Countries 16.2.1.2. South Africa 16.2.1.3. Israel 16.2.1.4. Rest of Middle East & Africa 16.2.2. By Offering 16.2.3. By Deception Stack 16.2.4. By Enterprise Size 16.2.5. By Industry Vertical 16.3. Market Attractiveness Analysis 16.3.1. By Country 16.3.2. By Offering 16.3.3. By Deception Stack 16.3.4. By Enterprise Size 16.3.5. By Industry Vertical 16.4. Key Takeaways 17. Key Countries Market Analysis 17.1. United States 17.1.1. Pricing Analysis 17.1.2. Market Share Analysis, 2022 17.1.2.1. By Offering 17.1.2.2. By Deception Stack 17.1.2.3. By Enterprise Size 17.1.2.4. By Industry Vertical 17.2. Canada 17.2.1. Pricing Analysis 17.2.2. Market Share Analysis, 2022 17.2.2.1. By Offering 17.2.2.2. By Deception Stack 17.2.2.3. By Enterprise Size 17.2.2.4. By Industry Vertical 17.3. Brazil 17.3.1. Pricing Analysis 17.3.2. Market Share Analysis, 2022 17.3.2.1. By Offering 17.3.2.2. By Deception Stack 17.3.2.3. By Enterprise Size 17.3.2.4. By Industry Vertical 17.4. Mexico 17.4.1. Pricing Analysis 17.4.2. Market Share Analysis, 2022 17.4.2.1. By Offering 17.4.2.2. By Deception Stack 17.4.2.3. By Enterprise Size 17.4.2.4. By Industry Vertical 17.5. Germany 17.5.1. Pricing Analysis 17.5.2. Market Share Analysis, 2022 17.5.2.1. By Offering 17.5.2.2. By Deception Stack 17.5.2.3. By Enterprise Size 17.5.2.4. By Industry Vertical 17.6. United Kingdom 17.6.1. Pricing Analysis 17.6.2. Market Share Analysis, 2022 17.6.2.1. By Offering 17.6.2.2. By Deception Stack 17.6.2.3. By Enterprise Size 17.6.2.4. By Industry Vertical 17.7. France 17.7.1. Pricing Analysis 17.7.2. Market Share Analysis, 2022 17.7.2.1. By Offering 17.7.2.2. By Deception Stack 17.7.2.3. By Enterprise Size 17.7.2.4. By Industry Vertical 17.8. Spain 17.8.1. Pricing Analysis 17.8.2. Market Share Analysis, 2022 17.8.2.1. By Offering 17.8.2.2. By Deception Stack 17.8.2.3. By Enterprise Size 17.8.2.4. By Industry Vertical 17.9. Italy 17.9.1. Pricing Analysis 17.9.2. Market Share Analysis, 2022 17.9.2.1. By Offering 17.9.2.2. By Deception Stack 17.9.2.3. By Enterprise Size 17.9.2.4. By Industry Vertical 17.10. Poland 17.10.1. Pricing Analysis 17.10.2. Market Share Analysis, 2022 17.10.2.1. By Offering 17.10.2.2. By Deception Stack 17.10.2.3. By Enterprise Size 17.10.2.4. By Industry Vertical 17.11. Russia 17.11.1. Pricing Analysis 17.11.2. Market Share Analysis, 2022 17.11.2.1. By Offering 17.11.2.2. By Deception Stack 17.11.2.3. By Enterprise Size 17.11.2.4. By Industry Vertical 17.12. Czech Republic 17.12.1. Pricing Analysis 17.12.2. Market Share Analysis, 2022 17.12.2.1. By Offering 17.12.2.2. By Deception Stack 17.12.2.3. By Enterprise Size 17.12.2.4. By Industry Vertical 17.13. Romania 17.13.1. Pricing Analysis 17.13.2. Market Share Analysis, 2022 17.13.2.1. By Offering 17.13.2.2. By Deception Stack 17.13.2.3. By Enterprise Size 17.13.2.4. By Industry Vertical 17.14. India 17.14.1. Pricing Analysis 17.14.2. Market Share Analysis, 2022 17.14.2.1. By Offering 17.14.2.2. By Deception Stack 17.14.2.3. By Enterprise Size 17.14.2.4. By Industry Vertical 17.15. Bangladesh 17.15.1. Pricing Analysis 17.15.2. Market Share Analysis, 2022 17.15.2.1. By Offering 17.15.2.2. By Deception Stack 17.15.2.3. By Enterprise Size 17.15.2.4. By Industry Vertical 17.16. Australia 17.16.1. Pricing Analysis 17.16.2. Market Share Analysis, 2022 17.16.2.1. By Offering 17.16.2.2. By Deception Stack 17.16.2.3. By Enterprise Size 17.16.2.4. By Industry Vertical 17.17. New Zealand 17.17.1. Pricing Analysis 17.17.2. Market Share Analysis, 2022 17.17.2.1. By Offering 17.17.2.2. By Deception Stack 17.17.2.3. By Enterprise Size 17.17.2.4. By Industry Vertical 17.18. China 17.18.1. Pricing Analysis 17.18.2. Market Share Analysis, 2022 17.18.2.1. By Offering 17.18.2.2. By Deception Stack 17.18.2.3. By Enterprise Size 17.18.2.4. By Industry Vertical 17.19. Japan 17.19.1. Pricing Analysis 17.19.2. Market Share Analysis, 2022 17.19.2.1. By Offering 17.19.2.2. By Deception Stack 17.19.2.3. By Enterprise Size 17.19.2.4. By Industry Vertical 17.20. South Korea 17.20.1. Pricing Analysis 17.20.2. Market Share Analysis, 2022 17.20.2.1. By Offering 17.20.2.2. By Deception Stack 17.20.2.3. By Enterprise Size 17.20.2.4. By Industry Vertical 17.21. GCC Countries 17.21.1. Pricing Analysis 17.21.2. Market Share Analysis, 2022 17.21.2.1. By Offering 17.21.2.2. By Deception Stack 17.21.2.3. By Enterprise Size 17.21.2.4. By Industry Vertical 17.22. South Africa 17.22.1. Pricing Analysis 17.22.2. Market Share Analysis, 2022 17.22.2.1. By Offering 17.22.2.2. By Deception Stack 17.22.2.3. By Enterprise Size 17.22.2.4. By Industry Vertical 17.23. Israel 17.23.1. Pricing Analysis 17.23.2. Market Share Analysis, 2022 17.23.2.1. By Offering 17.23.2.2. By Deception Stack 17.23.2.3. By Enterprise Size 17.23.2.4. By Industry Vertical 18. Market Structure Analysis 18.1. Competition Dashboard 18.2. Competition Benchmarking 18.3. Market Share Analysis of Top Players 18.3.1. By Regional 18.3.2. By Offering 18.3.3. By Deception Stack 18.3.4. By Enterprise Size 18.3.5. By Industry Vertical 19. Competition Analysis 19.1. Competition Deep Dive 19.1.1. Attivo Networks 19.1.1.1. Overview 19.1.1.2. Product Portfolio 19.1.1.3. Profitability by Market Segments 19.1.1.4. Sales Footprint 19.1.1.5. Strategy Overview 19.1.1.5.1. Marketing Strategy 19.1.2. Rapid7 19.1.2.1. Overview 19.1.2.2. Product Portfolio 19.1.2.3. Profitability by Market Segments 19.1.2.4. Sales Footprint 19.1.2.5. Strategy Overview 19.1.2.5.1. Marketing Strategy 19.1.3. Illusive Networks 19.1.3.1. Overview 19.1.3.2. Product Portfolio 19.1.3.3. Profitability by Market Segments 19.1.3.4. Sales Footprint 19.1.3.5. Strategy Overview 19.1.3.5.1. Marketing Strategy 19.1.4. Guardicore 19.1.4.1. Overview 19.1.4.2. Product Portfolio 19.1.4.3. Profitability by Market Segments 19.1.4.4. Sales Footprint 19.1.4.5. Strategy Overview 19.1.4.5.1. Marketing Strategy 19.1.5. Smokescreen Technologies 19.1.5.1. Overview 19.1.5.2. Product Portfolio 19.1.5.3. Profitability by Market Segments 19.1.5.4. Sales Footprint 19.1.5.5. Strategy Overview 19.1.5.5.1. Marketing Strategy 19.1.6. LogRhythm 19.1.6.1. Overview 19.1.6.2. Product Portfolio 19.1.6.3. Profitability by Market Segments 19.1.6.4. Sales Footprint 19.1.6.5. Strategy Overview 19.1.6.5.1. Marketing Strategy 19.1.7. Trapx Security 19.1.7.1. Overview 19.1.7.2. Product Portfolio 19.1.7.3. Profitability by Market Segments 19.1.7.4. Sales Footprint 19.1.7.5. Strategy Overview 19.1.7.5.1. Marketing Strategy 19.1.8. Cymmetria 19.1.8.1. Overview 19.1.8.2. Product Portfolio 19.1.8.3. Profitability by Market Segments 19.1.8.4. Sales Footprint 19.1.8.5. Strategy Overview 19.1.8.5.1. Marketing Strategy 19.1.9. Forescout Technologies 19.1.9.1. Overview 19.1.9.2. Product Portfolio 19.1.9.3. Profitability by Market Segments 19.1.9.4. Sales Footprint 19.1.9.5. Strategy Overview 19.1.9.5.1. Marketing Strategy 19.1.10. Hexis Cyber Solution 19.1.10.1. Overview 19.1.10.2. Product Portfolio 19.1.10.3. Profitability by Market Segments 19.1.10.4. Sales Footprint 19.1.10.5. Strategy Overview 19.1.10.5.1. Marketing Strategy 20. Assumptions & Acronyms Used 21. Research Methodology
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