AI & Cloud-native Security

Dell’Oro Group’s AI & Cloud-Native Security Advanced Research Report provides a 5-year forecast of the market for securing cloud-native and AI applications. Formerly the Cloud Workload Security Advanced Research Report, it tracks two distinct but increasingly adjacent markets: Cloud-Native Application Protection Platform (CNAPP) and AI Systems Security (AISS).

Research scope

CNAPP secures cloud-native applications across development, deployment, and runtime, incorporating capabilities such as Cloud Workload Protection Platforms (CWPP), Cloud Security Posture Management (CSPM), Cloud Infrastructure Entitlement Management (CIEM), and Data Security Posture Management (DSPM). AI Systems Security addresses a new security layer created by AI applications, covering models, agents, prompts, retrieval paths, memory, tools, orchestration logic, and AI-specific runtime behavior.

Dell’Oro Group tracks CNAPP and AI Systems Security as separate but increasingly adjacent technology segments rather than redefining CNAPP to include AI Systems Security. The research also connects security demand to enterprise public cloud spending and enterprise AI systems spending to assess market growth, vendor positioning, and long-term security attach rates.

Why it matters

AI is expanding what enterprises need to secure. Beyond cloud infrastructure and workloads, AI systems introduce new risks involving models, data retrieval, tool use, agents, and runtime behavior that traditional cloud security controls were not designed to address alone.

CNAPP remains essential for securing the cloud-native foundation, while AI Systems Security is emerging to protect the AI system itself. Understanding both markets helps vendors, investors, and strategy teams identify where security spending is shifting and which technologies and vendors are positioned to benefit.

Critical questions

◼ 01
How large is the AI & Cloud-Native Security market, and how fast will it grow over the next five years?
◼ 02
How much revenue is attributable to CNAPP versus AI Systems Security?
◼ 03
How are development, deployment, runtime, and AI runtime/control spending patterns changing?
◼ 04
Which vendors are gaining or losing share, and why?
◼ 05
How are hyperscalers, portfolio security vendors, and pure-play specialists positioned?
◼ 06
How are AI applications, models, and agents creating new security requirements?
◼ 07
How does AI Systems Security differ from broader AI Security and Governance?
◼ 08
How do public cloud and enterprise AI systems spending influence security demand?
◼ 09
Which regions are expected to grow fastest?
◼ 10
What are the primary accelerators and inhibitors shaping market growth?
◼ 11
How will consolidation, M&A, and the shift from point tools to platforms reshape the market?

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Report Coverage

◼ Market Forecast

5-year outlook for AI & Cloud-Native Security

◼ Cloud-Native Application Protection Platform (CNAPP):

Development, deployment, and runtime security

◼ AI Systems Security (AISS)

AI applications, models, agents, prompts, retrieval paths, memory, tools, orchestration logic, and AI-specific runtime behavior

◼ Market Anchors

Enterprise public cloud spending, enterprise AI systems spending, and risk-weighted AI systems spending

◼ Regional Coverage

North America, EMEA, Asia Pacific excluding China, China, and CALA

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