Exploit Prediction Scoring Platforms Global Market Report 2025

The exploit prediction scoring platforms market size has grown exponentially in recent years. It will grow from $1.41 billion in 2024 to $1.79 billion in 2025 at a compound annual growth rate (CAGR) of 27.1%. The growth in the historic period can be attributed to rising adoption of automated scanning, increasing demand for proactive vulnerability management, growing regulatory compliance requirements, expanding collaboration between cybersecurity vendors and enterprises, and an increasing focus on minimizing patching delays.

The exploit prediction scoring platforms market size is expected to see exponential growth in the next few years. It will grow to $4.62 billion in 2029 at a compound annual growth rate (CAGR) of 26.8%. The growth in the forecast period can be attributed to an increase in adoption of proactive security measures, a rise in demand for real-time risk assessment, growth in cloud-based security solutions, increased focus on critical infrastructure protection, and rising adoption of endpoint detection and response solutions. Key trends in the forecast period include advancements in automated vulnerability detection, development of advanced risk assessment algorithms, innovation in multi-layered security approaches, progress in predictive threat modeling, and enhanced correlation of threat data.

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 players covered in the exploit prediction scoring platforms (EPSP) market report 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 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in exploit prediction scoring platforms (EPSP) report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the exploit prediction scoring platforms (EPSP) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

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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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