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세계의 취약점 악용 예측 점수 플랫폼 시장 보고서(2025년)
Exploit Prediction Scoring Platforms Global Market Report 2025
상품코드 : 1888249
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

취약점 악용 예측 점수 플랫폼 시장 규모는 최근 급격히 확대되고 있습니다. 2024년에 14억 1,000만 달러로 평가되었고, 2025년에는 17억 9,000만 달러로, CAGR 27.1%로 성장이 전망되고 있습니다. 지난 몇 년간의 성장은 자동 스캔의 보급 확대, 예방적 취약성 관리에 대한 수요 증가, 규제 준수 요건 강화, 사이버 보안 벤더와 기업 간의 협력 확대, 패치 적용 지연 최소화에 대한 주력 강화 등이 요인으로 생각됩니다.

취약점 악용 예측 점수 플랫폼 시장 규모는 향후 수년간 급격한 성장이 예상됩니다. 2029년에는 46억 2,000만 달러에 달하고, CAGR은 26.8%를 나타낼 전망입니다. 예측 기간의 성장 요인으로는 예방적 보안 대책의 도입 증가, 실시간 리스크 평가 수요 증가, 클라우드 기반 보안 솔루션의 성장, 중요 인프라 보호에 대한 주력 강화, 엔드포인트 감지 및 대응 솔루션의 보급 확대를 들 수 있습니다. 예측 기간의 주요 동향에는 자동 취약성 감지 기술의 진보, 고급 위험 평가 알고리즘 개발, 다층적 보안 접근 방식의 혁신, 예측적 위협 모델링의 진전, 위협 데이터의 상관 분석 강화가 포함됩니다.

사이버 공격의 발생 건수 증가는 향후 취약점 악용 예측 점수 플랫폼 시장의 성장을 가속할 것으로 예측됩니다. 사이버 공격이란 개인이나 집단에 의한 컴퓨터 시스템, 네트워크, 디지털 데이터에의 침입, 방해, 손상을 의도한 행위를 가리키며, 기밀 정보의 절취, 업무의 방해, 조직이나 개인에의 금전적 및 평판적 손해를 목적으로 합니다. 사이버 공격 증가는 인터넷에 연결된 장치 증가에 의해 촉진됩니다. 이로 인해 공격자에게 취약한 침입 경로가 늘어나 악용될 기회가 증가하고 있습니다. 취약점 악용 예측 점수 플랫폼은 대상이 될 가능성이 높은 취약점을 파악하고 우선순위를 지정함으로써 사이버 공격을 방지하고 조직이 방어를 적극적으로 강화하고 공격 성공의 위험을 줄일 수 있도록 합니다. 예를 들어 영국 정부 기관인 과학혁신기술부에 따르면 2023년 4월 시점에서 지난 12개월간 발생한 사이버 범죄는 추정 239만건, 이와 관련된 사기 사건은 약 4만9,000건에 이르렀습니다. 이 기간 동안 자선단체가 입은 사이버 범죄 피해는 약 78만 5,000건에 달했습니다. 기업에서 사이버 범죄의 연간 평균 비용은 피해를 입은 조직 당 약 15,300 파운드로 추정됩니다. 따라서 사이버 공격의 발생 건수 증가가 취약점 악용 예측 점수 플랫폼 시장의 성장을 견인하고 있습니다.

취약점 악용 예측 점수 플랫폼 시장에서 활동하는 주요 기업은 취약성 감지 정밀도를 높이고 위험 평가 프로세스를 효율화하며 조직의 적극적인 위협 완화를 가능하게 하는 자동 스캔 기능과 같은 혁신적인 기술 개발에 주력하고 있습니다. 자동 스캔 기능은 컴퓨터 시스템, 네트워크 및 용도를 자동으로 검사하고 취약성, 구성 오류, 보안 위협을 감지하는 기술 및 도구를 말하며, 조직이 위험을 신속하게 파악하는 동시에 사이버 보안 유지에 대한 수작업 부담을 줄여줍니다. 예를 들어, 2024년 5월에는 미국에 본사를 둔 사이버 보안 기업인 UpGuard, Inc.가 자동 스캔 기능의 강화로 '검출 제품'과 '익스플로잇 예측 스코어링 시스템(EPSS)'을 발표했습니다. 이러한 향상을 통해 조직은 취약한 소프트웨어를 자동으로 식별하고 악용될 가능성을 평가할 수 있게 되며, 보안 팀은 복구 작업의 우선순위를 보다 효과적으로 설정할 수 있습니다. UpGuard는 기업이 고위험 취약점에 대한 노출을 줄이고 전체 사이버 보안 태세를 개선할 수 있도록 지원합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

SHW
영문 목차

영문목차

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.

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.

The automotive predictive analytics market research report is one of a series of new reports from The Business Research Company that provides automotive predictive analytics market statistics, including automotive predictive analytics industry global market size, regional shares, competitors with the automotive predictive analytics market share, automotive predictive analytics market segments, market trends, and opportunities, and any further data you may need to thrive in the automotive predictive analytics industry. This automotive predictive analytics 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.

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.

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.

Exploit Prediction Scoring Platforms Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on exploit prediction scoring platforms market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for exploit prediction scoring platforms ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The exploit prediction scoring platforms market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Exploit Prediction Scoring Platforms Market Characteristics

3. Exploit Prediction Scoring Platforms Market Trends And Strategies

4. Exploit Prediction Scoring Platforms Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Exploit Prediction Scoring Platforms Growth Analysis And Strategic Analysis Framework

6. Exploit Prediction Scoring Platforms Market Segmentation

7. Exploit Prediction Scoring Platforms Market Regional And Country Analysis

8. Asia-Pacific Exploit Prediction Scoring Platforms Market

9. China Exploit Prediction Scoring Platforms Market

10. India Exploit Prediction Scoring Platforms Market

11. Japan Exploit Prediction Scoring Platforms Market

12. Australia Exploit Prediction Scoring Platforms Market

13. Indonesia Exploit Prediction Scoring Platforms Market

14. South Korea Exploit Prediction Scoring Platforms Market

15. Western Europe Exploit Prediction Scoring Platforms Market

16. UK Exploit Prediction Scoring Platforms Market

17. Germany Exploit Prediction Scoring Platforms Market

18. France Exploit Prediction Scoring Platforms Market

19. Italy Exploit Prediction Scoring Platforms Market

20. Spain Exploit Prediction Scoring Platforms Market

21. Eastern Europe Exploit Prediction Scoring Platforms Market

22. Russia Exploit Prediction Scoring Platforms Market

23. North America Exploit Prediction Scoring Platforms Market

24. USA Exploit Prediction Scoring Platforms Market

25. Canada Exploit Prediction Scoring Platforms Market

26. South America Exploit Prediction Scoring Platforms Market

27. Brazil Exploit Prediction Scoring Platforms Market

28. Middle East Exploit Prediction Scoring Platforms Market

29. Africa Exploit Prediction Scoring Platforms Market

30. Exploit Prediction Scoring Platforms Market Competitive Landscape And Company Profiles

31. Exploit Prediction Scoring Platforms Market Other Major And Innovative Companies

32. Global Exploit Prediction Scoring Platforms Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Exploit Prediction Scoring Platforms Market

34. Recent Developments In The Exploit Prediction Scoring Platforms Market

35. Exploit Prediction Scoring Platforms Market High Potential Countries, Segments and Strategies

36. Appendix

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