Exploit Prediction Scoring Platforms Market Report 2026

The exploit prediction scoring platforms market size has grown exponentially in recent years. It will grow from $1.79 billion in 2025 to $2.27 billion in 2026 at a compound annual growth rate (CAGR) of 27%. The growth in the historic period can be attributed to growth in software vulnerabilities, rising ransomware and exploit activity, expanding enterprise it footprint, need to optimize patch resources, increasing regulatory scrutiny on security.

The exploit prediction scoring platforms market size is expected to see exponential growth in the next few years. It will grow to $5.85 billion in 2030 at a compound annual growth rate (CAGR) of 26.7%. The growth in the forecast period can be attributed to shift toward proactive security operations, integration with zero trust programs, automation of remediation workflows, increased adoption of cloud security tooling, demand for measurable risk reduction metrics. Major trends in the forecast period include AI-driven vulnerability prioritization, threat intelligence automation, real-time risk scoring models, continuous exposure management, security analytics platform convergence.

The rising incidence of cyberattacks is expected to propel the growth of the exploit prediction scoring platforms market going forward. Cyberattacks refer to deliberate attempts by individuals or groups to breach, disrupt, or damage computer systems, networks, or digital data and aim to steal sensitive information, compromise operations, or cause financial and reputational harm to organizations or individuals. The rising incidence of cyberattacks is driven by the growing number of internet-connected devices, which creates more vulnerable entry points for attackers and increases opportunities for exploitation. Exploit prediction scoring platforms help prevent cyberattacks by identifying and prioritizing vulnerabilities likely to be targeted, enabling organizations to proactively strengthen defenses and reduce the risk of successful attacks. For instance, in April 2023, according to the Department for Science, Innovation & Technology, a UK government department, over the past 12 months, there were an estimated 2.39 million incidents of cybercrime and around 49,000 cases of fraud linked to these crimes. Charities experienced approximately 785,000 cybercrime incidents during the same period. The average annual cost of cybercrime to businesses is estimated at about £15,300 per affected organization. Therefore, the rising incidence of cyberattacks is driving the growth of the exploit prediction scoring platforms market.

Key companies operating in the exploit prediction scoring platforms market are focusing on developing innovative technologies such as automated scanning capabilities to enhance vulnerability detection accuracy, streamline risk assessment processes, and enable proactive threat mitigation for organizations. Automated scanning capabilities refer to technologies and tools that automatically examine computer systems, networks, or applications to detect vulnerabilities, misconfigurations, or security threats, helping organizations identify risks quickly while reducing manual effort in maintaining cybersecurity. For instance, in May 2024, UpGuard, Inc., a US-based cybersecurity company, unveiled enhancements to its automated scanning capabilities with Detected Products and Exploit Prediction Scoring System (EPSS). These enhancements enable organizations to automatically identify vulnerable software and assess the likelihood of exploitation, allowing security teams to prioritize remediation efforts more effectively. UpGuard helps enterprises reduce exposure to high-risk vulnerabilities and improve overall cybersecurity posture.

In February 2024, Armis Inc., a US-based cyber exposure management and security company, acquired CTCI Corporation for an undisclosed amount. Through this acquisition, Armis Inc. aims to strengthen its cybersecurity offerings by integrating advanced vulnerability detection and risk assessment capabilities while collaborating with CTCI Corporation to enhance industrial cybersecurity solutions and provide comprehensive protection for critical infrastructure. CTCI Corporation is a US-based company specializing in AI-powered pre-attack threat hunting technology, providing advanced tools to detect, predict, and prevent cyberattacks before they occur.

Major companies operating in the exploit prediction scoring platforms market are Cisco Systems Inc., Palo Alto Networks Inc., Fortinet Inc., CrowdStrike Holdings Inc., Tenable Holdings Inc., Rapid7 Inc., Coalition Inc., Qualys Inc., Darktrace Holdings Limited, Recorded Future Inc., Snyk Limited, Veracode Inc., PointGuard AI, Safe Security Inc., Balbix Inc., Edgescan Limited, ArmorCode Inc., Aikido Security BV, NopSec Inc., Nucleus Security Inc.

North America was the largest region in the exploit prediction scoring platforms market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the exploit prediction scoring platforms market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the exploit prediction scoring platforms market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have created both challenges and opportunities for the exploit prediction scoring platforms market by increasing the cost of importing servers, storage infrastructure, and specialized security appliances used to support on-premises analytics and threat intelligence processing. These cost increases can slow procurement for large enterprises and government agencies, especially in North America and parts of Europe that rely on Asia-Pacific hardware manufacturing. Hardware-dependent deployments such as on-premises security analytics stacks and high-throughput data processing environments are most affected due to higher capital costs and longer lead times. However, tariffs are also accelerating cloud-based deployment adoption, boosting demand for managed security services, and encouraging vendors to optimize software efficiency and automation so customers can achieve stronger vulnerability prioritization without heavy infrastructure expansion.

The exploit prediction scoring platforms market research report is one of a series of new reports that provides exploit prediction scoring platforms market statistics, including exploit prediction scoring platforms industry global market size, regional shares, competitors with a exploit prediction scoring platforms market share, detailed exploit prediction scoring platforms market segments, market trends and opportunities, and any further data you may need to thrive in the exploit prediction scoring platforms industry. This exploit prediction scoring platforms market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Exploit prediction scoring platforms (EPSP) are advanced cybersecurity tools that leverage data analytics, threat intelligence, and machine learning to estimate the likelihood that a software vulnerability will be exploited by attackers. These platforms help organizations evaluate risk levels for each vulnerability and prioritize remediation efforts, saving time and resources. By analyzing patterns from real-world attacks, EPSPs enable security teams to shift from reactive to proactive defense strategies.

The main components of automotive predictive analytics are software, services, and hardware. Automotive predictive analytics software is a data-driven solution that employs machine learning and statistical models to analyze vehicle and driver data, enabling real-time forecasting of maintenance needs, performance issues, and operational risks to enhance efficiency and safety. The various propulsion types include gasoline, diesel, all-electric, and fuel cell electric vehicles (FCEV). These solutions are used across vehicle types such as passenger cars and commercial vehicles and in applications including predictive maintenance, vehicle telematics, driver behavior analytics, and fleet management. They serve various end users such as original equipment manufacturers (OEMs), fleet operators, insurance providers, and other stakeholders.

The exploit prediction scoring platforms (EPSP) market consists of revenues earned by entities by providing services such as vulnerability prediction and prioritization services, threat intelligence integration services, risk scoring services, automated patch management services, and compliance monitoring services. The market value includes the value of related goods sold by the service provider or included within the service offering. The exploit prediction scoring platforms (EPSP) market also includes sales of security orchestration, automation, and response (SOAR) integrations; vulnerability prioritization dashboards; machine learning models for exploit forecasting; APIs and SDKs for security platforms; and threat feed subscriptions. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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