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市场调查报告书
商品编码
1803072
IAM保全服务市场预测至 2032 年:按组件、服务类型、部署类型、组织规模、最终用户和地区进行的全球分析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 |
根据 Stratistics MRC 的数据,全球 IAM保全服务市场预计在 2025 年价值 234.8 亿美元,到 2032 年将达到 675.7 亿美元,预测期内的复合年增长率为 16.3%。
身分和存取管理 (IAM)保全服务包含旨在在适当时间向授权个人授予适当存取权限以实现适当目的的策略和工具。这些服务涵盖身分验证、核准、存取管理和身分管治,以保护资料、应用程式和系统。透过监督数位身分和权限,IAM 服务可以增强安全性、支援法规遵循、降低风险并简化跨不同IT基础设施的使用者存取。
根据 ForgeRock 的调查,80.0% 的 IT 决策者已经采用、扩展或计划在 2021 年采用云端基础的解决方案。
扩大数位转型与云端应用
数位转型和云端技术日益普及,显着加速了对 IAM保全服务的需求。随着企业将工作负载迁移到云端环境,对强大的身分管治和存取控制的需求也日益增长。云端原生 IAM 解决方案提供扩充性、集中式策略实施以及跨混合基础架构的无缝整合。远端办公和 BYOD 策略的盛行进一步推动了对安全身份验证和使用者配置的需求。此外,从银行到医疗保健等各行业的数位优先策略都需要先进的 IAM 框架来管理身分。这种转型正在推动零信任架构、统一身分模型和自我调整存取技术的创新。
实施和整合的复杂性
组织常常背负着旧有系统、碎片化的身分识别储存库和不一致的存取策略的重担。跨云端、本地和行动等不同平台整合 IAM 解决方案需要大量的技术专业知识和时间。 IT 和安全团队之间的不一致可能导致配置错误和合规性缺口。客製化 IAM 框架以符合业界特定法规则进一步增加了复杂性。这些挑战会减慢部署进度并增加营运成本,阻碍中小企业全面实施这些解决方案。
采用人工智慧和机器学习
人工智慧驱动的分析技术可实现即时异常检测、基于风险的身份验证和预测性存取控制。机器学习模型不断适应使用者行为,减少误报并提升威胁回应能力。这些技术还能实现身分生命週期管理的自动化,进而提高效率并减少人为错误。随着网路威胁日益复杂,人工智慧驱动的IAM工具提供了主动防御机制。 IAM与人工智慧和巨量资料的融合正在再形成身分管治,使其更加智慧、可扩展且更具弹性。
资料隐私和主权问题
IAM 系统处理敏感的使用者凭证、存取日誌和行为数据,使其成为资料外洩的常见目标。遵守 GDPR、CCPA 和印度的 DPDP 法案等全球法规需要严格的资料处理通讯协定。跨境资料流和第三方整合进一步增加了隐私管理的复杂性。一次配置错误或资料外洩就可能导致声誉受损和法律处罚。这些担忧促使组织采用在地化资料储存和隐私设计原则,但也增加了实施的复杂性。
COVID-19 疫情加速了各行各业对 IAM保全服务的采用。随着远端办公成为常态,企业迫切需要安全存取云端应用程式和内部系统。 IAM 解决方案支援多因素身份验证、基于角色的存取和即时监控,以支援分散式员工。这场危机也凸显了传统存取控制的脆弱性,促使其快速现代化。整体而言,疫情成为 IAM 创新的催化剂,推动了对可扩展、云端原生和 AI 驱动的身份解决方案的需求。
解决方案部分预计将成为预测期内最大的部分
由于网路风险不断增加、云端运算的广泛应用以及远端办公实践对强大且可扩展的身份管理至关重要,预计解决方案细分市场将在预测期内占据最大市场占有率。核心解决方案包括多因素身份验证 (MFA)、身份管治框架以及基于人工智慧/机器学习的存取控制。零信任模型和无密码身份验证的兴起正在改变传统的安全方法。 GDPR 和 CCPA 等合规性要求,以及商业、金融服务、保险和保险业 (BFSI)、医疗保健和 IT 等行业的快速数位化,正在推动市场成长。
预计 IT 和通讯产业在预测期内将实现最高的复合年增长率。
预计IT和通讯业将在预测期内实现最高成长率,这得益于其庞大的数位基础设施、高度的数据敏感性以及日益增长的网路威胁。多因素身份验证(MFA)、身份联合和基于人工智慧的存取控制等技术的采用正在加速。零信任架构、无密码身分验证和去中心化身分识别等新兴趋势正在重塑安全框架。关键发展包括部署云端原生IAM、与5G网路整合以及增强的身份管治,以支援跨复杂生态系统的可扩展性、合规性和安全的用户存取。
预计亚太地区将在预测期内占据最大的市场占有率,这得益于快速的数位转型、日益增多的网路攻击以及各行业日益增长的云端技术采用。政府和企业正在采用多因素身份验证 (MFA)、单一登入 (SSO) 和基于人工智慧的身份分析等技术。新兴趋势包括零信任框架、生物辨识身分验证和行动优先的 IAM 解决方案。关键发展包括旨在增强身分管治、扩充性和混合 IT 环境中安全存取的管理方案、加大对云端原生 IAM 平台的投资以及建立策略伙伴关係。
预计北美将在预测期内实现最高的复合年增长率。日益增长的威胁,尤其是复杂的网路攻击和资料洩露,迫使企业优先考虑强大的安全保障。像《健康保险流通与责任法案》(HIPAA) 和《加州消费者隐私法案》(CCPA) 这样的严格法律规范也要求实施强大的存取控制和资料保护,从而加速了身分存取管理 (IAM) 的采用。此外,向云端基础技术的广泛迁移、远端办公以及非人类身分的兴起,正在建立新的安全边界,需要先进的 IAM 解决方案来有效管理和保护存取安全。零信任安全的新兴趋势以及人工智慧和机器学习在自适应身份验证中的融合,正在推动市场发展。
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.