Zero Trust Security Statistics By Adoption, Issues Faced and Market Size
![Barry Elad](https://technotrenz.com/wp-content/uploads/2024/05/Barry-Elad-96x96.jpg)
Updated · Jul 10, 2024
![Rohan Jambhale](https://technotrenz.com/wp-content/uploads/2024/05/Rohan-96x96.jpg)
![Zero Trust Security Statistics By Adoption, Issues Faced and Market Size](https://technotrenz.com/wp-content/uploads/2024/07/Zero-Trust-Security-Statistics.webp)
WHAT WE HAVE ON THIS PAGE
- Introduction
- Editor’s Choice
- General Zero Trust Security Statistics
- Zero Trust Security Statistics By Adoption Stage
- Issues Faced When Using Authentication Methods Worldwide
- By Zero Trust Segmentation Supporting Cloud Security
- Zero Trust Implementation Plans Worldwide In 2024
- Worldwide Zero Trust Security Market Value
- Zero Trust Security Statistics By Organization’s Approach
- Zero Trust Framework Practices In The USA
- Challenges Faced For Implementing Zero Trust Security Policies Worldwide
- Different Ways Of Security Initiatives Taken Globally
- AI and Zero Trust Security
- Conclusion
Introduction
Zero Trust Security Statistics: Living in a digital world is not easy. You don’t even know when your data is going to be stolen under your name. As part of Cybersecurity, Zero-Trust Security strategies provide a major shift in how digital protection should work. With continuous verification and strict access to control, zero-trust policies are helping companies safeguard their information.
These policies aid in protecting mobile devices and cloud environments in the company, which in turn protects user behaviour. Understanding these Zero Trust Security Statistics will shed light on the specific cybersecurity segment.
Editor’s Choice
- As per a report by Mordor Intelligence, The top factors for the increase in demand for zero-trust security post-COVID-19 are remote work, flexible security approaches, and emerging threats.
- According to Zero Trust Security Statistics, this method of cyber security is likely to reduce the cost of data breaches by $1 million.
- Gartner estimates that 60% of companies will consider Zero Trust as a security starting point by 2025.
- As of 2023, the global Zero-Trust Security market was valued at $31.63 billion and is expected to reach $133 billion by 2032.
- The industry-wise budget for security initiatives to adopt Zero Trust policies is high in software companies, at 28%, followed by finance (19%), the public sector (19%), and healthcare (17%).
- By 2025, 60% of companies will choose zero-trust security policies over virtual private networks.
- In 2023, most companies (36%) said it is difficult to authenticate remote or offline workers securely.
- The Zero Trust Security Report 2023 by Okta showed that 53% of C-level executives agree that the zero-trust strategy is extremely important for the company.
- The 2023 Global Study on Closing the IT Security Gaps report showed that, in 2023, 26% of companies had adopted security strategies because of the government’s compliance.
- Based on the survey findings of The 2023 Global Study on Closing the IT Security Gaps report, 58% of high-performing companies are more likely to have adopted this security strategy.
General Zero Trust Security Statistics
- According to Zero Trust Security Statistics, this method of cyber security is likely to reduce the cost of data breaches by $1 million.
- By 2028, the worldwide zero trust security market is projected to grow at a CAGR of 16.9%.
- As per a report by Mordor Intelligence, The top factors for the increase in demand for zero-trust security post-COVID-19 are remote work, flexible security approaches, and emerging threats.
- Based on the survey findings of The 2023 Global Study on Closing the IT Security Gaps report, 58% of high-performing companies are more likely to have adopted this security strategy.
- Gartner estimates that 60% of companies will consider Zero Trust as a security starting point by 2025.
- The Zero Trust Security Report 2023 by Okta showed that 53% of C-level executives agree that the zero-trust strategy is extremely important for the company.
- Zero Trust Security Statistics show that on the global level, password is the leading authentication factor for companies to verify for external and internal users.
- The industry-wise budget for security initiatives to adopt Zero Trust policies is high in software companies, at 28%, followed by finance (19%), the public sector (19%), and healthcare (17%).
- As per PWC’s 2024 Global Digital Trust Insights report, when the Zero Trust strategy with GenAI is implemented, it can continuously assess risk and review access requests and permissions.
- According to a PacketLabs report, as of 2023, only 1% of companies met the definition of zero-trust security.
- By 2025, 60% of companies will choose zero-trust security policies over virtual private networks.
Zero Trust Security Statistics By Adoption Stage
(Reference: statista.com)
Zero Trust Security Statistics 2023 shows that 51% of IT leaders and C-Suite companies collectively said they have adopted Zero Trust solutions. Furthermore, 40% of the companies in similar industries are in the process of moving to the zero-trust model. On the other hand, 8% of companies are planning to adopt but are in the early stage of adoption.
Issues Faced When Using Authentication Methods Worldwide
(Reference: statista.com)
In 2023, most companies (36%) said it is difficult to authenticate remote or offline workers securely. Other issues mentioned are the difficulty of authenticating unmanaged third-party devices, the complexity of the IT team’s management, password or credential resets, etc.
By Zero Trust Segmentation Supporting Cloud Security
(Reference: statista.com)
Based on Statista’s survey results in 2023, 61% of the companies said adding zero trust segmentation in support of cloud security helps improve digital trust and strengthen cyber resilience. 59% said it ensures the business continues its operations.
Zero Trust Implementation Plans Worldwide In 2024
(Reference: statista.com)
Zero Trust Security Statistics 2024 shows that 30% of companies in the current year are collaborating with security providers to build a roadmap for zero-trust security. Meanwhile, 25% said they are not yet ready because of a lack of expertise and skills. As of today, only 23% of companies have implemented zero-trust security; on the other hand, 22% are not at all ready because of the complexities.
Worldwide Zero Trust Security Market Value
(Reference: statista.com)
As of 2023, the global Zero-Trust Security market was valued at $31.63 billion and is expected to reach $133 billion by 2032. The current demand for cybersecurity is likely an influential factor in growing the market’s value.
Zero Trust Security Statistics By Organization’s Approach
(Reference: cio.com)
The 2023 Global Study on Closing the IT Security Gaps report showed that, in 2023, 26% of companies had adopted security strategies because of the government’s compliance. Few reported having already adopted the strategy; on the other hand, others stated that adoption would take some time.
Zero Trust Framework Practices In The USA
(Reference: statista.com)
43% of the companies in the USA followed network analytics, which is part of the zero trust framework. Others mentioned different practices, including software-defined micro-segmentation, multi-factor authentication, cloud workload governance, corporate device management, etc.
Challenges Faced For Implementing Zero Trust Security Policies Worldwide
According to a survey conducted by Statista, the following challenges were identified:
- Latency issues for application access with current ZTNA solutions – 33%
- Lack of budget to make IT changes right now – 17%
- Not enough information on how to select a zero-trust solution – 16%
- No central network and or security strategy – 14%
- Still too dependent on traditional VPN – 11%
- Organizational resistance across it teams – 6%
- Lack of manpower/resources – 4%
In addition, the same company identified the following leading technologies as effective for implementing zero trust globally in 2024.
- Security Service Edge (SSE) platform – 32%
- Identity Providers (SSO and MFA) – 26%
- Security information and Event Management (SIEM) – 22%
- Endpoint Security solutions – 21%
Different Ways Of Security Initiatives Taken Globally
Following are the survey findings for the above-mentioned segment by The Zero Trust Security Report 2023 by Okta.
Types of Security Initiatives | Share of Respondents |
MFA for external users | 34% |
MFA for employees | 33% |
Secured access to APIs | 31% |
Device security posture assessment | 29% |
Privileged access management for cloud infrastructure | 29% |
Connection between employee directory and cloud apps | 28% |
SSO for employees | 28% |
High assurance MFA for employees & external users | 28% |
Multiple factors across user groups | 27% |
Access with phishing-resistant factors | 26% |
App-level policies | 25% |
SSO for external users | 24% |
All user directories are synced & managed from a single place | 21% |
Automated provisioning or de-provisioning for employees | 21% |
Context-based access policies | 21% |
Automated provisioning or de-provisioning for users | 20% |
(Source: okta.com)
AI and Zero Trust Security
The ever-evolving landscape of cyber threats demands constant upgrades in our security measures. Zero-trust security, with its core principle of “never trust, always verify,” has emerged as a robust approach to securing data and systems. But imagine a scenario where an intelligent assistant bolsters this strong foundation—that’s the exciting potential of integrating Artificial Intelligence (AI) into zero-trust security. Let’s explore how this symbiotic relationship can create a more secure digital world while acknowledging the potential drawbacks that require careful consideration.
Unlocking The Power Of AI In Zero Trust
AI’s ability to analyze vast amounts of data in real-time makes it a valuable asset in a zero-trust environment. Here’s how AI can significantly enhance security:
- Enhanced Threat Detection: Zero trust thrives on continuous monitoring. AI excels at analyzing user behavior, network activity, and access attempts. This allows for pinpointing anomalies that might escape human analysts, such as subtle changes in login patterns or unusual data downloads. Imagine identifying a hacker attempting to impersonate a legitimate user by analyzing their keystroke patterns – a feat AI can potentially achieve with high accuracy.
- Automated Threat Response: Zero trust minimizes implicit trust, but constantly verifying access can be cumbersome. AI can automate responses to suspicious activity. For instance, if AI detects a login attempt from an unfamiliar location exceeding a predefined spending limit on a corporate credit card, it could automatically request multi-factor authentication, temporarily suspend access, and flag the incident for human review. This swift action can prevent a financial breach before significant damage occurs.
- Adaptive Security: The cyber threat landscape is a relentless adversary, constantly innovating new attack methods. Traditional security solutions often play catch-up. AI’s ability to continuously learn and adapt provides a significant advantage. By analyzing past attacks and successful defenses, AI can suggest adjustments to access controls and identify emerging threats even before they become widespread. This proactive approach keeps your defenses ahead of the curve.
- Reduced Human Error: Security analysts face a constant barrage of alerts and logs, leading to fatigue and potential missed threats. AI can shoulder some of the burden by automating routine tasks and threat analysis. This frees up valuable human expertise for focusing on complex investigations and strategic security planning. Additionally, AI can help mitigate human error, a significant factor in many security breaches.
- Improved User Experience: Zero trust can sometimes feel restrictive for legitimate users. AI can help personalize the security experience. Imagine a system that learns your regular access patterns and only prompts for additional verification when there’s a genuine deviation from your usual activity. This can make security less intrusive for everyday tasks, improving user satisfaction without compromising security.
Challenges And Considerations
While AI offers a compelling vision for the future of security, there are more practical solutions. Here’s why a cautious approach is necessary:
- Data Biases and Explainability: AI algorithms are only as good as the data they’re trained on. Biased data can lead AI to overlook certain threats or flag innocent users. It’s crucial to ensure training data is diverse and unbiased to prevent blind spots and unfair targeting. Additionally, complex AI models can be like black boxes – their decision-making process might not be easily understood. This lack of transparency can make it difficult to identify and fix errors, potentially leading to false positives or missed threats.
- Security of AI Systems Themselves: AI systems are just as vulnerable to attacks as any other software. Hackers could potentially exploit vulnerabilities in AI to bypass security controls or manipulate AI models to launch sophisticated attacks. Robust security measures are essential to safeguard AI systems themselves, ensuring they don’t become a weak link in the security chain.
- Privacy Concerns: AI-powered security often relies on collecting and analyzing vast amounts of user data. This raises valid privacy concerns. Organizations must have clear data governance policies in place. They should only collect and use data that are strictly necessary for security purposes, anonymize data whenever possible, and ensure user privacy is protected. Transparency and clear communication with users about data collection practices are crucial for building trust.
- Cost and Expertise: Implementing and maintaining sophisticated AI systems requires significant investment in technology and skilled personnel. This can be a barrier for smaller organizations with limited resources. Careful planning and exploring cost-effective AI solutions are necessary to ensure accessibility for a wider range of organizations.
Building A Secure Future
The potential of AI to strengthen zero-trust security is undeniable. However, responsible implementation is key to maximizing the benefits and minimizing the risks. Here are some steps to consider:
- Start with a Strong Foundation: Before diving into AI, ensure your organization has a solid foundation of zero-trust principles implemented. This includes multi-factor authentication, least privilege access control, and continuous monitoring of network activity and user behavior. Building on a strong zero-trust foundation allows AI to focus on amplifying security measures rather than plugging basic gaps.
- Focus on Specific Use Cases: Don’t try to boil the ocean. Identify areas where AI can provide the most significant benefit, such as user anomaly detection, threat intelligence analysis, or automating routine security tasks. This helps prioritize resources and ensures a measurable return on investment in AI security solutions.
- Prioritize Explainable AI: Choose AI solutions that offer some level of explainability for their decisions. This allows security teams to understand the rationale behind AI-flagged events and make informed decisions. Explainable AI also fosters trust and transparency, which are critical for user acceptance.
- Mitigate Bias: Be mindful of potential data biases in AI training. Use diverse datasets that reflect the real world and continuously monitor for bias creep. Techniques like fairness audits and bias detection algorithms can help identify and address potential biases before they lead to security blind spots or unfair treatment of users.
- Prioritize Privacy: Implement strong data governance practices to ensure user privacy is protected. Clearly communicate to users about what data is collected, how it’s used for security purposes, and their rights regarding data access and deletion. Building trust with users is essential for them to feel comfortable with AI-powered security measures.
A Symbiotic Future
The integration of AI into zero-trust security offers a powerful force for a more secure digital world. By leveraging AI’s analytical capabilities and automation potential, we can significantly enhance threat detection, response, and adaptation. However, a thoughtful and responsible approach is crucial. Addressing data biases, ensuring AI system security, prioritizing user privacy, and managing costs are all essential considerations. By carefully navigating these challenges, we can harness the power of AI to build a future where zero trust security is not just robust but also fair, transparent, and user-friendly. This symbiotic relationship between AI and zero trust holds the key to a more secure digital landscape for everyone.
Conclusion
As the world is digitally evolving, cyber threats are becoming more common. Zero Trust Security is a foundational approach to cyber threats that offers benefits such as continuous verification, flexibility in adopting environments that align with business needs, improved monitoring and visibility, and stricter controls. However, based on these Zero Trust Security Statistics, only 1% of companies around the world have perfectly implemented these policies, and others have yet to implement them.
The strategy’s implementation has not been successful due to the need for more expertise and complexity. Hopefully, these problems will be solved soon, and companies will adopt a modern approach to security.
![Barry Elad](https://technotrenz.com/wp-content/uploads/2024/05/Barry-Elad-96x96.jpg )
Barry loves technology and enjoys researching different tech topics in detail. He collects important statistics and facts to help others. Barry is especially interested in understanding software and writing content that shows its benefits. In his free time, he likes to try out new healthy recipes, practice yoga, meditate, or take nature walks with his child.