평균적인 조직은 기업 네트워크에 접근할 수 있는 수천 개의 엔드포인트를 관리하고 있습니다. 이러한 엔드포인트는 모든 네트워크에서 가장 취약하고 악용되기 쉬운 부분입니다.
엔드포인트 보안은 노트북, 데스크톱, 태블릿, 서버, 스마트폰과 같은 컴퓨팅 장치를 악성코드, 사이버 공격, 원치 않는 애플리케이션으로부터 보호하는 호스트 기반 소프트웨어 제품을 포함합니다. 엔드포인트 보안은 원격 기기 접속 시 기업 네트워크도 보호합니다. 엔드포인트 보안 벤더들은 엔드포인트 보호 플랫폼(EPP) 및 엔드포인트 탐지 및 대응(EDR) 솔루션을 통해 엔드포인트 보안을 제공합니다.
범용 기술인 AI는 엔드포인트 보안 솔루션의 진화에 중요한 역할을 하고 있으며, 많은 영향력 있는 사용 사례를 제공하고 있습니다. 엔드포인트에 가장 효과적인 애플리케이션으로는 위협 탐지 및 대응, 자동 대응, 행동 분석 등이 있습니다. 사이버 보안 생태계에 AI를 통합하는 것은 점점 더 보편화되고 있습니다. 조직은 보안 체계를 강화하고 빠르게 진화하는 보안 위협에 대응하기 위한 보안 전문 지식 부족으로 인한 관리 오버헤드를 줄이기 위해 생성형 AI를 포함한 ML과 AI를 점점 더 많이 활용하고 있습니다.
수익 예측
기준 연도인 2024년 매출 추정치는 129억 9,410만 달러로 2024년부터 2028년까지 조사 기간 동안 14.5%의 CAGR을 기록할 것으로 예상됩니다.
주요 경쟁사
Absolute Software
Acronis
Bitdefender
BlackBerry Cylance
Check Point
Cisco
CrowdStrike
ESET
Fortinet
IBM
Jamf
Malwarebytes
Microsoft
OpenText
Palo Alto Networks
SentinelOne
Sophos
Broadcom(Symantec)
Trellix
Trend Micro
WatchGuard
Xcitium
목차
성장 환경 : 엔드포인트 보안 업계의 전환
왜 성장이 어려워지는가?
The Strategic Imperative 8
엔드포인트 보안 업계에 대한 3대 전략적 원칙의 영향
성장 환경 : 엔드포인트 보안 업계의 생태계
분석 범위
세분화
성장 환경 : C2A
경쟁 환경
주요 경쟁사
엔드포인트 보안 업계의 성장 제너레이터
성장 지표
성장 촉진요인
성장 촉진요인 분석
성장 억제요인
성장 억제요인 분석
동향
예측에 관한 인사이트
매출 예측
지역별 매출 예측
업종별 매출 예측
사업 규모별 매출 예측
매출 예측 분석
가격 동향과 예측 분석
매출 점유율
매출 점유율 분석
엔드포인트 보안 업계의 성장 기회 유니버스
성장 기회 1 : 엔드포인트 솔루션에 대한 AI 기술의 도입
성장 기회 2 : 모바일 위협 방어 MTD의 도입
성장 기회 3 : 중층적인 사이버 보안 전략 준비
CISO용 인사이트
CISO용 인사이트
부록과 다음 단계
성장 기회의 이점과 영향
다음 단계
첨부 리스트
면책사항
ksm
영문 목차
영문목차
The Endpoint Security Industry is Driving Transformational Growth due to an Ever-complex Threat Landscape
The average organization manages thousands of endpoints that have access to its corporate network. These endpoints are the most vulnerable and exploited part of any network.
Endpoint security includes host-based software products that secure computing devices, such as laptops, desktops, tablets, servers, and smartphones, from malware, cyberattacks, and unwanted applications. Endpoint security also protects corporate networks during remote device access. Endpoint security vendors deliver endpoint security through endpoint protection platform (EPP) and endpoint detection and response (EDR) solutions.
As a general-purpose technology, AI plays a vital role in the evolution of endpoint security solutions, offering many impactful use cases. Among the most effective applications for endpoints are threat detection and response, automated response, and behavioral analysis. The integration of AI into cybersecurity ecosystems is increasingly prevalent. Organizations increasingly leverage ML and AI, including generative AI, to strengthen their security posture and reduce administrative overhead owing to a lack of security expertise to keep up with the fast-evolving security threats.
Revenue Forecast
The revenue estimate for the base year 2024 is $12,994.1 million, with a CAGR of 14.5% for the study period from 2024 to 2028.
The Impact of the Top 3 Strategic Imperatives on the Endpoint Security Industry
Innovative Business Models
Why: Agent unification and consolidating monitoring practices enable more streamlined and efficient management of endpoint security solutions. To cater to the needs of modern organizations of all sizes, a single lightweight agent to ingest telemetry that requires minimal system resources and is deployable without lengthy installations or complex configurations is necessary.
Frost Perspective: Adjacent solutions of endpoint detection and response (EDR) and endpoint protection platform (EPP) are largely seen as a single technology. With limited resources to investigate detection events, organizations are more inclined to focus on protection, attack surface reduction, and identifying misconfigurations. Proactively rollback capabilities of ransomware detection and response solutions will reduce the risk of ransomware attacks.
Disruptive Technologies
Why: Chief information security officers (CISOs) and security teams face increasing challenges with broadened attack surfaces, increasingly complex attack vectors and scenarios, and staff shortages. The emergence of attacks using AI has significantly complicated the threat landscape by increasing the volume, speed, and complexity of social engineering attacks. With threat techniques evolving, static detection cannot keep up with the number of attacks.
Frost Perspective: Detection, auto-investigation, and setting & updating security policies using AI are paramount for organizations facing resource challenges. Offers the potential to reduce the time to containment substantially. Vendors are significantly improving capabilities by scanning exponentially more alerts using AI. In addition, GenAI offers multi-lingual communication and interface.
Transformative Megatrends
Why: Organizations must quickly deploy, update, and manage endpoint security policies in an evolving threat landscape. Intelligence and dynamic updates from multiple vectors, such as email and network telemetry, are leveraged to proactively prevent attacks and reduce the attack surface.
Frost Perspective: Technologies that effectively scale policy management are vital to reducing overhead. This includes machine learning (ML) capabilities and automation to scale policy management across thousands of nodes in hybrid and multi-cloud environments. To enable security teams to effectively manage device access policies, firewalls, and controls, vendors offer a centralized and integrated platform.
Scope of Analysis
The average organization manages thousands of endpoints that have access to its corporate network. These endpoints are the most vulnerable and exploited part of any network.
Endpoint security includes host-based software products that secure computing devices, such as laptops, desktops, tablets, servers, and smartphones, from malware, cyberattacks, and unwanted applications. The Internet of Things (IoT) devices are endpoints that also require securing.
Endpoint security includes EPP and EDR.
EPP is a software suite that includes antivirus, intrusion prevention, anti-malware, and other features.
EDR is an advanced tool that detects threats, contains the incident, investigates with forensic and proactive hunting tools, and provides immediate response and remediation.
Modern endpoint security combines EPP and EDR functions for superior performance.
The analysis offers a revenue breakdown by:
All endpoint vendor revenues and market share in this report are Frost & Sullivan estimates. This study only examines the enterprise endpoint market.
Key Competitors
Absolute Software
Acronis
Bitdefender
BlackBerry Cylance
Check Point
Cisco
CrowdStrike
ESET
Fortinet
IBM
Jamf
Malwarebytes
Microsoft
OpenText
Palo Alto Networks
SentinelOne
Sophos
Broadcom (Symantec)
Trellix
Trend Micro
WatchGuard
Xcitium
Competitive Environment
Number of Competitors More than 40
Competitive Factors: Integration with other security services, cost, consolidation, technology effectiveness, ease of implementation, scalability
Key End-user Industry Verticals: Financial, government, and healthcare
Other Notable Competitors: Fortinet, Cisco, Absolute Software, Acronis
Distribution Structure: Channel partners, value-adding resellers, managed services providers (MSPs)/managed security services providers (MSSPs), and direct sales
Growth Drivers
AI enables attackers to deploy more dangerous attacks. Security vendors can also use the technology to combat the influx of attacks.
Data loss prevention is a crucial issue in cybersecurity. Protecting data is vital to business success in the digital age.
Enterprises face more sophisticated and multi-vector attacks amid a shortage of qualified cybersecurity staff and reduced budgets.
Digital transformation, remote working, IoT devices, and bring-your-own-device (BYOD) practices drive the need for endpoint protection solutions and more extensive use of cloud-hosted consoles.
An increase in connected devices creates more organizational vulnerabilities with more access points as the cyberattack landscape constantly grows and changes.
Endpoint security is a highly competitive market with many solutions. This can overwhelm and confuse organizations as to which best suits their needs.
Medium Operational security complexity is a challenge in the cybersecurity industry. Organizations pursuing a multilayered security architecture may inadvertently create silos and security gaps. Medium
Table of Contents
Growth Environment: Transformation in the Endpoint Security Industry
Why Is It Increasingly Difficult to Grow?
The Strategic Imperative 8
The Impact of the Top 3 Strategic Imperatives on the Endpoint Security Industry
Growth Environment: Ecosystem in the Endpoint Security Industry
Scope of Analysis
Segmentation
Growth Environment: Companies to Action C2A
Competitive Environment
Key Competitors
Growth Generator in the Endpoint Security Industry
Growth Metrics
Growth Drivers
Growth Driver Analysis
Growth Restraints
Growth Restraint Analysis
Trends
Forecast Considerations
Revenue Forecast
Revenue Forecast by Region
Revenue Forecast by Industry Vertical
Revenue Forecast by Business Size
Revenue Forecast Analysis
Pricing Trends and Forecast Analysis
Revenue Share
Revenue Share Analysis
Growth Opportunity Universe in the Endpoint Security Industry
Growth Opportunity 1: Incorporate AI Technology into Endpoint Solutions
Growth Opportunity 2: Implement Mobile Threat Defense MTD
Growth Opportunity 3: Prepare a Layered Cybersecurity Strategy
