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市場調查報告書
商品編碼
1803072
IAM保全服務市場預測至 2032 年:按組件、服務類型、部署類型、組織規模、最終用戶和地區進行的全球分析IAM Security Services Market Forecasts to 2032 - Global Analysis By Component (Solutions, Platforms, and Services), Service Type, Deployment Type, Organization Size, End User and By Geography |
根據 Stratistics MRC 的數據,全球 IAM保全服務市場預計在 2025 年價值 234.8 億美元,到 2032 年將達到 675.7 億美元,預測期內的複合年成長率為 16.3%。
身分和存取管理 (IAM)保全服務包含旨在在適當時間向授權個人授予適當存取權限以實現適當目的的策略和工具。這些服務涵蓋身分驗證、核准、存取管理和身分管治,以保護資料、應用程式和系統。透過監督數位身分和權限,IAM 服務可以增強安全性、支援法規遵循、降低風險並簡化跨不同IT基礎設施的使用者存取。
根據 ForgeRock 的調查,80.0% 的 IT 決策者已經採用、擴展或計劃在 2021 年採用雲端基礎的解決方案。
擴大數位轉型與雲端應用
數位轉型和雲端技術日益普及,顯著加速了對 IAM保全服務的需求。隨著企業將工作負載遷移到雲端環境,對強大的身分管治和存取控制的需求也日益成長。雲端原生 IAM 解決方案提供擴充性、集中式策略實施以及跨混合基礎架構的無縫整合。遠端辦公和 BYOD 策略的盛行進一步推動了對安全身份驗證和使用者配置的需求。此外,從銀行到醫療保健等各行業的數位優先策略都需要先進的 IAM 框架來管理身分。這種轉型正在推動零信任架構、統一身分模型和自我調整存取技術的創新。
實施和整合的複雜性
組織常常背負著舊有系統、碎片化的身分識別儲存庫和不一致的存取策略的重擔。跨雲端、本地和行動等不同平台整合 IAM 解決方案需要大量的技術專業知識和時間。 IT 和安全團隊之間的不一致可能導致配置錯誤和合規性缺口。客製化 IAM 框架以符合業界特定法規則進一步增加了複雜性。這些挑戰會減慢部署進度並增加營運成本,阻礙中小企業全面實施這些解決方案。
採用人工智慧和機器學習
人工智慧驅動的分析技術可實現即時異常檢測、基於風險的身份驗證和預測性存取控制。機器學習模型不斷適應使用者行為,減少誤報並提升威脅回應能力。這些技術還能實現身分生命週期管理的自動化,進而提高效率並減少人為錯誤。隨著網路威脅日益複雜,人工智慧驅動的IAM工具提供了主動防禦機制。 IAM與人工智慧和巨量資料的融合正在再形成身分管治,使其更加智慧、可擴展且更具彈性。
資料隱私和主權問題
IAM 系統處理敏感的使用者憑證、存取日誌和行為數據,使其成為資料外洩的常見目標。遵守 GDPR、CCPA 和印度的 DPDP 法案等全球法規需要嚴格的資料處理通訊協定。跨境資料流和第三方整合進一步增加了隱私管理的複雜性。一次配置錯誤或資料外洩就可能導致聲譽受損和法律處罰。這些擔憂促使組織採用在地化資料儲存和隱私設計原則,但也增加了實施的複雜性。
COVID-19 疫情加速了各行各業對 IAM保全服務的採用。隨著遠端辦公成為常態,企業迫切需要安全存取雲端應用程式和內部系統。 IAM 解決方案支援多因素身份驗證、基於角色的存取和即時監控,以支援分散式員工。這場危機也凸顯了傳統存取控制的脆弱性,促使其快速現代化。整體而言,疫情成為 IAM 創新的催化劑,推動了對可擴展、雲端原生和 AI 驅動的身份解決方案的需求。
解決方案部分預計將成為預測期內最大的部分
由於網路風險不斷增加、雲端運算的廣泛應用以及遠端辦公實踐對強大且可擴展的身份管理至關重要,預計解決方案細分市場將在預測期內佔據最大市場佔有率。核心解決方案包括多因素身份驗證 (MFA)、身份管治框架以及基於人工智慧/機器學習的存取控制。零信任模型和無密碼身份驗證的興起正在改變傳統的安全方法。 GDPR 和 CCPA 等合規性要求,以及商業、金融服務、保險和保險業 (BFSI)、醫療保健和 IT 等行業的快速數位化,正在推動市場成長。
預計 IT 和通訊產業在預測期內將實現最高的複合年成長率。
預計IT和通訊業將在預測期內實現最高成長率,這得益於其龐大的數位基礎設施、高度的數據敏感性以及日益成長的網路威脅。多因素身份驗證(MFA)、身份聯合和基於人工智慧的存取控制等技術的採用正在加速。零信任架構、無密碼身分驗證和去中心化身分識別等新興趨勢正在重塑安全框架。關鍵發展包括部署雲端原生IAM、與5G網路整合以及增強的身份管治,以支援跨複雜生態系統的可擴展性、合規性和安全的用戶存取。
預計亞太地區將在預測期內佔據最大的市場佔有率,這得益於快速的數位轉型、日益增多的網路攻擊以及各行業日益成長的雲端技術採用。政府和企業正在採用多因素身份驗證 (MFA)、單一登入 (SSO) 和基於人工智慧的身份分析等技術。新興趨勢包括零信任框架、生物辨識身分驗證和行動優先的 IAM 解決方案。關鍵發展包括旨在增強身分管治、擴充性和混合 IT 環境中安全存取的管理方案、加大對雲端原生 IAM 平台的投資以及建立策略夥伴關係。
預計北美將在預測期內實現最高的複合年成長率。日益成長的威脅,尤其是複雜的網路攻擊和資料洩露,迫使企業優先考慮強大的安全保障。像《健康保險流通與責任法案》(HIPAA) 和《加州消費者隱私法案》(CCPA) 這樣的嚴格法律規範也要求實施強大的存取控制和資料保護,從而加速了身分存取管理 (IAM) 的採用。此外,向雲端基礎技術的廣泛遷移、遠端辦公以及非人類身分的興起,正在建立新的安全邊界,需要先進的 IAM 解決方案來有效管理和保護存取安全。零信任安全的新興趨勢以及人工智慧和機器學習在自適應身份驗證中的融合,正在推動市場發展。
According to Stratistics MRC, the Global IAM Security Services Market is accounted for $23.48 billion in 2025 and is expected to reach $67.57 billion by 2032 growing at a CAGR of 16.3% during the forecast period. IAM (Identity and Access Management) Security Services encompass strategies and tools designed to grant appropriate access to authorized individuals at the right time and for valid purposes. They cover authentication, authorization, access management, and identity governance to safeguard data, applications, and systems. By overseeing digital identities and permissions, IAM services strengthen security, support regulatory compliance, mitigate risks, and simplify user access across varied IT infrastructures.
According to ForgeRock, 80.0% of IT decision-makers have adopted, expanded, or plan to adopt cloud-based solutions in 2021.
Growing digital transformation and cloud adoption
Growing digital transformation and cloud adoption is significantly accelerating the demand for IAM security services. As enterprises migrate workloads to cloud environments, the need for robust identity governance and access control intensifies. Cloud-native IAM solutions offer scalability, centralized policy enforcement, and seamless integration across hybrid infrastructures. The proliferation of remote work and BYOD policies further amplifies the need for secure authentication and user provisioning. Additionally, digital-first strategies across sectors from banking to healthcare require advanced IAM frameworks to manage identities. This transformation is driving innovation in zero-trust architectures, federated identity models, and adaptive access technologies.
Complexity of implementation and integration
Organizations often struggle with legacy systems, fragmented identity repositories, and inconsistent access policies. Integrating IAM solutions across diverse platforms-cloud, on-premises, and mobile requires significant technical expertise and time. Misalignment between IT and security teams can lead to configuration errors and compliance gaps. Moreover, customizing IAM frameworks to meet industry-specific regulations adds further complexity. These challenges slow down deployment timelines and increase operational costs, deterring smaller enterprises from full-scale implementation.
Adoption of AI and machine learning
AI-driven analytics enable real-time anomaly detection, risk-based authentication, and predictive access control. Machine learning models continuously adapt to user behavior, reducing false positives and enhancing threat response. These technologies also automate identity lifecycle management, improving efficiency and reducing human error. As cyber threats grow more sophisticated, AI-powered IAM tools offer proactive defense mechanisms. The convergence of IAM with AI and big data is reshaping identity governance, making it more intelligent, scalable, and resilient.
Data privacy and sovereignty concerns
IAM systems handle sensitive user credentials, access logs, and behavioral data, making them prime targets for breaches. Compliance with global regulations like GDPR, CCPA, and India's DPDP Act requires stringent data handling protocols. Cross-border data flows and third-party integrations further complicate privacy management. A single misconfiguration or breach can lead to reputational damage and legal penalties. These concerns are prompting organizations to adopt localized data storage and privacy-by-design principles, but they also increase implementation complexity.
The COVID-19 pandemic accelerated the adoption of IAM security services across industries. With remote work becoming the norm, organizations faced urgent needs for secure access to cloud applications and internal systems. IAM solutions enabled multi-factor authentication, role-based access, and real-time monitoring to support distributed workforces. The crisis also highlighted vulnerabilities in legacy access controls, prompting rapid modernization. Overall, the pandemic served as a catalyst for IAM innovation, driving demand for scalable, cloud-native, and AI-enhanced identity solutions.
The solutions segment is expected to be the largest during the forecast period
The solutions segment is expected to account for the largest market share during the forecast period, due to escalating cyber risks, widespread cloud adoption, and the normalization of remote work-all of which necessitate robust, scalable identity management. Core solutions include MFA, identity governance frameworks, and AI/ML-powered access controls. The rise of zero-trust models and password less authentication is transforming traditional security approaches. Compliance requirements such as GDPR and CCPA, along with rapid digitalization in industries like BFSI, healthcare, and IT, are intensifying market growth.
The IT & telecom segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the IT & telecom segment is predicted to witness the highest growth rate, due to its vast digital infrastructure, high data sensitivity, and growing cyber threats. Adoption of technologies like multi-factor authentication (MFA), identity federation, and AI-based access controls is accelerating. Emerging trends such as zero-trust architecture, passwordless authentication, and decentralized identity are reshaping security frameworks. Key developments include cloud-native IAM deployments, integration with 5G networks, and enhanced identity governance to support scalability, compliance, and secure user access across complex ecosystems.
During the forecast period, the Asia Pacific region is expected to hold the largest market share, driven by rapid digital transformation, rising cyberattacks, and expanding cloud adoption across sectors. Governments and enterprises are embracing technologies like MFA, single sign-on (SSO), and AI-powered identity analytics. Emerging trends include zero-trust frameworks, biometric authentication, and mobile-first IAM solutions. Key developments involve regulatory initiatives, increased investment in cloud-native IAM platforms, and strategic partnerships to enhance identity governance, scalability, and secure access in hybrid IT environments.
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, due to the escalating threat landscape, characterized by sophisticated cyberattacks and data breaches, compels organizations to prioritize robust security. Stringent regulatory frameworks like HIPAA and CCPA also mandate strong access controls and data protection, accelerating IAM adoption. Furthermore, the widespread shift to cloud-based technologies, remote work, and the growth of non-human identities are creating new security perimeters that require advanced IAM solutions to manage and secure access effectively. The emerging trend of Zero Trust security and the integration of AI and machine learning for adaptive authentication are driving the market.
Key players in the market
Some of the key players in IAM Security Services Market include IBM, Google, Microsoft, Cisco Systems, Oracle, Amazon Web Services, Okta, Dell Technologies, Ping Identity, Hewlett Packard Enterprise (HPE), CyberArk, Thales Group, ForgeRock, Broadcom, and SailPoint Technologies.
In July 2025, IBM and Elior Group announce their association to create an "agentic AI & Data Factory" to serve Elior Group's innovation, digital transformation, and improved operational performance. This collaboration represents a major step forward in the innovation and digitization of the Elior Group, a world leader in contract catering and services for businesses and local authorities.
In May 2025, Cisco announced a groundbreaking initiative with HUMAIN - Saudi Arabia's new AI enterprise - to help build the world's most open, scalable, resilient and cost-efficient AI infrastructure. This landmark collaboration will set a new standard for how AI infrastructure is designed, secured and delivered - combining Cisco's global expertise with the Kingdom's bold AI ambitions.
In April 2025, Ping Identity announced its newly redesigned Nexus Partner Program, which includes enhanced offerings, go-to-market opportunities, and benefits for partners of all types. The new program rewards and recognizes partners for their deep knowledge of Ping's solutions, empowering them to deliver the level of expertise, experience, and results that exceed customer expectations.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.