PUBLISHER: Astute Analytica | PRODUCT CODE: 2172169
PUBLISHER: Astute Analytica | PRODUCT CODE: 2172169
The non-human identity (NHI) management market is experiencing substantial growth as organizations increasingly prioritize the security and governance of machine identities across their digital infrastructure. The market is estimated to be valued at USD 3.5 billion in 2025 and is projected to reach USD 25 billion by 2035, expanding at a compound annual growth rate (CAGR) of 21.7% over the forecast period from 2026 to 2035. This anticipated expansion reflects the growing adoption of cloud computing, artificial intelligence (AI), automation, application programming interfaces (APIs), and interconnected enterprise applications, all of which rely on non-human identities to authenticate and communicate securely.
A major factor supporting market growth is the increasing recognition that non-human identities represent a significant and often overlooked component of enterprise cybersecurity. Organizations frequently manage thousands or even millions of machine identities across cloud platforms, on-premises infrastructure, development environments, and third-party applications. When these identities are inadequately monitored, assigned excessive permissions, or protected by long-lived credentials, they can become potential entry points for cyberattacks, unauthorized data access, and lateral movement across connected systems.
The non-human identity management market is becoming increasingly competitive as enterprises seek comprehensive solutions to secure machine identities, application credentials, service accounts, API tokens, digital certificates, and AI-driven workloads. Among the prominent companies operating across these areas are CyberArk, HashiCorp under IBM, Oasis Security, Astrix Security, and Entrust. Each brings distinct capabilities to the broader non-human identity security landscape, although their product portfolios, competitive positions, and areas of specialization differ. Rather than competing exclusively within a single category, these providers address overlapping aspects of machine identity security, reflecting the increasingly interconnected nature of enterprise identity and access management.
These five companies illustrate the diversity of capabilities shaping the non-human identity management market. CyberArk combines privileged access management with machine identity security, HashiCorp provides secrets management and infrastructure automation within IBM, Oasis specializes in non-human identity discovery and governance under Cyera, Astrix brings expertise in SaaS integrations and AI-related identity security within Cisco, and Entrust focuses on certificates, PKI, and cryptographic lifecycle management.
Their offerings overlap in certain areas, but they address different parts of the broader identity security challenge. As enterprises adopt more cloud-native applications, automated workloads, third-party integrations, and autonomous AI agents, demand is likely to favor solutions that provide comprehensive visibility, automated credential management, effective access governance, and interoperability across diverse technology environments.
Core Growth Drivers
The sheer volume of non-human identities has become a primary driver of demand for dedicated non-human identity management solutions as enterprises expand their use of cloud computing, artificial intelligence, application programming interfaces (APIs), automation, and interconnected digital services. Every application, workload, service account, automated process, and machine-to-machine connection may require an identity or credential to authenticate and access specific resources. As organizations modernize their technology infrastructure, these identities are multiplying at a pace that traditional identity management practices often struggle to accommodate. Entro Security's H1 2025 Non-Human Identity and Secrets Risk Report illustrates the scale of this growth: its research team analyzed more than 27 million non-human identities and reported a ratio of approximately 144 non-human identities for every human identity in the environments examined, compared with 92 to one a year earlier. The findings reflect a substantial increase in machine identity deployment within the company's observed customer environments, although the ratio should not be interpreted as a universal average for every enterprise.
Emerging Opportunity Trends
The rapid expansion of agentic artificial intelligence (AI) throughout 2025 and 2026 has emerged as a significant driver of demand for non-human identity management solutions. As organizations increasingly adopt autonomous AI agents to analyze large volumes of data, execute business workflows, interact with enterprise applications, and perform tasks across internal and external systems, the need to establish secure and accountable machine identities has become more critical. Unlike conventional automation tools that operate according to predefined instructions, agentic AI systems can interpret information, make context-dependent decisions, initiate actions, and interact with multiple applications to achieve specified objectives. These capabilities are creating new opportunities to improve operational efficiency, accelerate decision-making, and reduce manual intervention across industries such as financial services, healthcare, manufacturing, information technology, and customer service.
Barriers to Optimization
The complexity of integration with legacy infrastructure and multicloud environments represents a significant challenge that may hamper the growth of the non-human identity management market. Many organizations continue to operate a combination of traditional on-premises systems, legacy applications, private cloud infrastructure, and modern public cloud platforms, creating fragmented technology environments with different authentication mechanisms, identity repositories, access control policies, and security requirements. Integrating non-human identity management solutions across these diverse infrastructures can be technically demanding, particularly when existing applications were not designed to support modern identity governance frameworks or automated credential lifecycle management. Legacy systems may depend on hardcoded credentials, static service accounts, outdated authentication protocols, or manually managed cryptographic keys, making it difficult to implement centralized identity visibility, automated credential rotation, and consistent access policies without modifying existing applications or disrupting established workflows.
By offering, secrets management and rotation accounted for the dominant share of the non-human identity management market in 2025, driven by the growing need to secure machine credentials, application secrets, API keys, cryptographic keys, and digital certificates across increasingly complex enterprise environments. This momentum continued into 2026 as organizations expanded their adoption of cloud computing, microservices architectures, containerized applications, and automated software development processes. These technologies rely heavily on machine-to-machine communication, requiring applications, workloads, service accounts, and automated processes to exchange credentials securely when accessing databases, cloud resources, APIs, and internal business systems. As enterprise environments become more interconnected, the number of credentials requiring secure storage, controlled distribution, regular renewal, and continuous monitoring continues to increase.
By identity type, the workloads and containers segment emerged as a major contributor to the non-human identity management market, driven by the widespread adoption of cloud-native applications, microservices architectures, containerization, and automated software deployment practices. As enterprises accelerate digital transformation and modernize their IT infrastructure, they increasingly rely on dynamically deployed workloads to support application development, data processing, business automation, and mission-critical services. By 2026, containerized applications, Kubernetes environments, serverless functions, and distributed microservices have become important components of enterprise computing strategies, enabling organizations to scale applications rapidly, improve resource utilization, and accelerate software delivery. Unlike human identities, which are generally associated with individual users and relatively stable access requirements, workload identities are created and used by applications, services, containers, and automated processes to authenticate themselves and communicate with other resources.
By environment, the cloud and multicloud segment dominated the non-human identity management market, driven by the widespread adoption of cloud-based infrastructure, distributed applications, and automated workloads across enterprises. As organizations accelerate their digital transformation initiatives, they increasingly rely on cloud platforms to support business applications, data processing, software development, and mission-critical operations. By 2026, enterprises across industries are leveraging a combination of Amazon Web Services (AWS), Microsoft Azure, and Google Cloud to improve scalability, optimize infrastructure costs, enhance operational flexibility, and support geographically distributed business activities. While these platforms offer extensive capabilities for managing access and securing cloud resources, operating across multiple cloud environments introduces additional complexity in identity governance.
By end-use industry, the banking, financial services, and insurance (BFSI) sector accounted for the largest share of the non-human identity management market, driven by its extensive reliance on digital banking infrastructure, automated financial operations, and highly interconnected technology ecosystems. Financial institutions are increasingly adopting cloud computing, application programming interfaces (APIs), artificial intelligence, robotic process automation, and microservices-based architectures to improve operational efficiency, accelerate transaction processing, and deliver seamless digital services. These technologies depend on numerous non-human identities, including service accounts, application identities, software bots, machine credentials, digital certificates, and automated workloads that facilitate communication between systems without direct human intervention. As banks, insurance providers, payment processors, and investment firms expand their digital capabilities, managing and securing these identities has become a critical component of their cybersecurity and risk management strategies.
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