Application Security Posture Management (ASPM) Market, Global, 2025–2030
Description
Modern application environments are built on cloud-native architectures, IaC, and microservices deployed through Kubernetes and containers. While these technologies deliver agility and scalability, they also significantly expand the attack surface, making vulnerabilities more difficult to track and remediate across the software development life cycle.
The rapid adoption of AI-assisted development tools such as GitHub Copilot and Amazon CodeWhisperer further intensifies the challenge. These tools accelerate release cycles but also introduce unvetted or insecure code into production at unprecedented speed.
Traditional application security methods, which were designed for slower and more predictable release models, struggle to triage, remediate, and scale at the velocity of modern DevOps pipelines. The result is alert fatigue, excessive noise, and limited ability to focus on exploitable risks.
To address this, organizations increasingly require continuous visibility across both development and runtime environments, supported by correlation and prioritization mechanisms that cut through the noise and highlight vulnerabilities most likely to be exploited. They must also keep pace with the unique risks posed by AI-generated code, which is transforming the volume and velocity of software delivery.
The study period is 2024–2030, with 2025 as the base year and 2026–2030 as the forecast period. Regions covered are North America; Europe, the Middle East, and Africa; Asia-Pacific; and Latin America.
The rapid adoption of AI-assisted development tools such as GitHub Copilot and Amazon CodeWhisperer further intensifies the challenge. These tools accelerate release cycles but also introduce unvetted or insecure code into production at unprecedented speed.
Traditional application security methods, which were designed for slower and more predictable release models, struggle to triage, remediate, and scale at the velocity of modern DevOps pipelines. The result is alert fatigue, excessive noise, and limited ability to focus on exploitable risks.
To address this, organizations increasingly require continuous visibility across both development and runtime environments, supported by correlation and prioritization mechanisms that cut through the noise and highlight vulnerabilities most likely to be exploited. They must also keep pace with the unique risks posed by AI-generated code, which is transforming the volume and velocity of software delivery.
The study period is 2024–2030, with 2025 as the base year and 2026–2030 as the forecast period. Regions covered are North America; Europe, the Middle East, and Africa; Asia-Pacific; and Latin America.
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