Global API Security & Runtime Protection Market Size (2026-2030)
The Global API Security & Runtime Protection Market was valued at approximately USD 2.87 Billion. It is projected to grow at a CAGR of around 22% during the forecast period of 2026–2030, reaching an estimated USD 7.76 Billion by 2030.
Global API Security & Runtime Protection Market is a segment of the global API security market with technologies that secure application programming interfaces (APIs) and protect applications during their runtime. API visibility, runtime monitoring, threat detection, testing, and policy enforcement are all features of the market. It covers security layers that are software-based and are designed to control API exposure in enterprise environments, but not other categories like generic network security, endpoint protection, and non-API-specific identity tools.
The market has shifted from the discovery of APIs to ongoing runtime defense and risk management based on context. Today, organizations exist in a cloud world, with distributed applications, third-party integrations, and machine-to-machine communications all impacting the environment. This has led to a change in security focus from the discovery of vulnerabilities to understanding the behavior of APIs in the real traffic. Purchasers are now considering operational resilience, deployment flexibility, and integration depth, as opposed to just a running total of features.
The change has direct consequences for decision-makers. But digital innovation has to go faster than ever, while at the same time facing stricter governance and greater cyber risk. The choice of investments now hinges on the effectiveness of security controls in providing low runtime risk, supporting hybrid architectures, and conforming to changing business needs. The need for improved visibility into API activity and application behavior is no longer a security bolt-on but an essential way of competing in this market.

Key Market Insights
- Public-facing software exploitation increased by 44%, which required increased API runtime controls.
- Fifty-six percent of vulnerabilities still do not need authentication, broadening exposure.
- There were 300,000 AI chatbot credentials for sale, which indicates monetized abuse.
- Live API monitoring was under pressure as ransomware groups ramped up by 49%.
- 90% of organizations are not prepared for AI-driven cyber-attacks.
- 72% said the threats had increased, resulting in a shift in the board-level security governance.
- The percentage of AI security assessments doubled between 2022 and 2026, from 37% to 64%.
- 78% of organizations are currently utilizing AI in business operations.
- The rate of regular use of gen AI was 71%, driving up connected workflow exposure.
- 48% focus on data protection over modernization investments.
- Even with the increase in attacks, only 7% use AI-driven security.
- 92% believe that skills in managing AI agents will be available in five years.
- 62% attribute privacy and security restrictions as a reason for not adopting digital means.
- India has 81% of exposed organizations, which creates an opportunity for API security.

Research Methodology
Scope & Definitions
- Covers product/system revenue from API security and runtime protection solutions across components, deployment modes, organization sizes, industries, and regions.
- Includes API security platforms, RASP, API discovery, threat detection, and posture management; excludes unrelated network, endpoint, and generic IAM revenues.
- Defines geography, historical/base/forecast timeframe, segmentation rules, data dictionary, and double-count prevention protocols.
Evidence Collection (Primary + Secondary)
- Primary research across the value chain: solution vendors, cloud/security providers, channel partners, enterprise users, consultants, and domain specialists; interviews validated across functions and regions.
- Secondary evidence from company filings, investor presentations, product documentation, customer case studies, and verifiable sources including relevant regulators/standards bodies/industry associations specific to Global API Security & Runtime Protection Market (named in-report).
- Key claims are supported by source-linked evidence within the report.
Triangulation & Validation
- Market sizing uses bottom-up aggregation and top-down benchmarking, reconciled to financial disclosures where applicable.
- Conflicting-source resolution, outlier testing, interview cross-checks, and bias controls ensure decision-grade accuracy and consistency.
Presentation & Auditability
- Findings are delivered through transparent assumptions, traceable calculations, and reproducible segment models.
- The report uses verifiable sources, maintains audit trails, and provides source-linked evidence for material estimates and conclusions.

Global API Security & Runtime Protection Market Drivers
The runtime exposure to API-driven application modernization is growing.
Denser API ecosystems are being built as enterprises speed up their cloud-native development, microservices usage, and automated software delivery. Security teams have a need to have continuous visibility, runtime protection, and quick detection in dynamic application environments. Such a change in operation is driving the need for specific controls for modern software architectures and for the ever-changing machine-to-machine integration environments in various industries.
Automated digital ecosystems are changing enterprise security priorities.
APIs are vital to the infrastructure of organizations as they begin to support their processes within the organization, with partnerships and customer journey automation. Traditional perimeter controls have difficulty in securing fast-changing connections and transaction flows. In fact, this is driving enterprises to embrace adaptive runtime defense and analytics-based API security models that are tailored to today's continuous deployment operating models and modernization programs in enterprises across the globe.
In order to protect the embedded API functions, machine speed development requires protection capabilities.
More and more, development teams publish apps on automated pipelines and reusable services and publish often. Seeking quicker delivery increases the time allowed for innovation to occur and reduces the time available for security evaluation and review while increasing the number of ways in which attacks can be made undetected. In that setting, embedded protection, live behavior monitoring, and testing procedures that are agile to today's engineering processes and distributed application delivery requirements across the globe have greater value.
Global API Security & Runtime Protection Market Restraints
The fragmented API estates, alert fatigue, and inconsistent visibility into the legacy and modern environments remain a challenge to adoption. Integration complexity, skills gaps, increasing compliance pressure, and runtime proof-of-value against an ever-changing attack vector landscape and limited cybersecurity budgets are challenges for buyers, while the multi-cloud expansion cycle is a constant executive challenge.
Global API Security & Runtime Protection Market Opportunities
The increasing growth of APIs, AI-powered applications, and increasing demands for digital trust are driving some vendors to combine discovery, runtime defense, and risk analytics all in one. The demand is growing as embedded security for machine-to-machine (M2M) traffic, modernization of legacy integration layers, and simplified protection models for enterprises with limited resources, who are looking for faster deployment, reduced operational complexity, and increased visibility from a distributed application environment, are all rising.
How this market works end-to-end
- Map the surface
Teams first identify known APIs, external exposures, internal services, and partner-connected endpoints.
- Classify the traffic
They separate public, private, and third-party API flows, then rank them by business criticality.
- Test the posture
Security and engineering teams check authentication, authorization, schema behavior, abuse paths, and misconfigurations.
- Watch the runtime
Live traffic is monitored for anomalies, abuse, credential misuse, data leakage, and broken business logic.
- Enforce controls
Policies are applied through gateways, agents, integrations, or inline controls depending on deployment model.
- Respond in context
Alerts are prioritized against app context, user context, and transaction context so teams can cut noise.
- Close the gaps
Findings feed back into development, DevSecOps, and governance processes to reduce repeat exposure.
- Scale by segment
Buying choices differ by component, deployment mode, organization size, vertical, and region, which is why the report structure matters for practical comparison.
Why this market matters now
API exposure has moved from a technical hygiene issue to a decision issue. Many buyers now operate in mixed cloud, legacy, and partner-integrated environments where security teams cannot rely on a single control point. At the same time, AI-enabled applications and machine-to-machine traffic are increasing API volume and making misuse harder to spot.
The pressure is not only technical. Compliance expectations are rising, privacy rules are uneven across regions, and cross-border architectures create uncertainty around data handling and monitoring. That makes runtime protection more valuable than static inventory alone. A market report in this space must therefore show not just who sells the most features, but which product and deployment combinations actually reduce operational risk.
What matters most when evaluating claims in this market
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Claim type
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What good proof looks like
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What often goes wrong
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Coverage claim
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Clear mapping of APIs discovered, monitored, and protected
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Counts only one environment and calls it full coverage
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Runtime protection claim
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Evidence of live traffic inspection and action taken in production
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Confuses alerting with enforcement
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Platform claim
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Named modules with distinct functions and pricing logic
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Bundles overlapping functions into one inflated category
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Performance claim
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Measured reduction in exposure, false positives, or response time
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Uses isolated demos or synthetic traffic only
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Market size claim
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Bottom-up and top-down methods reconciled to disclosures
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Double counts suite revenue across adjacent categories
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The decision lens
- Define the boundary
Confirm whether the need is product/system sales, services, or operating value pool. Do not mix them.
- Check the coverage
Ask which API types, environments, and traffic paths are actually monitored and protected.
- Stress the runtime
Test how the solution behaves under live misuse, authentication abuse, and business-logic attacks.
- Compare the model
Separate gateway tools, discovery tools, testing tools, and runtime protection so overlap is visible.
- Review deployment fit
Verify whether cloud, on-premises, or hybrid deployment matches your architecture and governance rules.
- Validate economics
Compare pricing, integration effort, and operating burden against the risk reduction actually delivered.
- Watch timing risk
Consider regulatory pressure, cloud migration pace, partner expansion, and AI-driven traffic growth before delaying investment.
The contrarian view
The biggest mistake in this market is treating API security as a feature checklist. That creates false confidence. Discovery without runtime control leaves live exposure in place. Runtime alerts without context create noise. And broad platform claims often hide double counting across testing, posture, and enforcement modules.
Another common error is using web gateway logic as a proxy for API security maturity. Gateways help, but they do not automatically find shadow APIs or stop business-logic abuse. Buyers should also be careful with market maps that mix application security, IAM, and API security into one bucket. That weakens the decision value and distorts spend priorities.
Practical implications by stakeholder
CIO and CISO
- Prioritize runtime exposure reduction over tool consolidation alone.
- Demand clear coverage maps across cloud, legacy, and partner traffic.
- Tie investment timing to regulatory and operational risk, not vendor roadmaps.
Application Security Leader
- Focus on discovery, testing, and enforcement integration.
- Validate whether findings reach development teams in a usable format.
- Push for controls that reduce noise and shorten remediation cycles.
Platform and DevSecOps Teams
- Check how easily the product fits CI/CD, gateways, and service meshes.
- Confirm whether policy updates are automated or manual.
- Avoid tools that add friction without improving control depth.
Procurement and Vendor Management
- Compare true functional overlap before signing multi-module contracts.
- Validate renewal risk, integration cost, and implementation scope.
- Require language that distinguishes platform modules from bundled suites.
Board and Risk Committees
- Track API exposure as a business risk, not only an engineering issue.
- Ask where sensitive data, critical transactions, and third-party dependencies flow.
- Review whether controls support auditability and resilience under stress.
API SECURITY & RUNTIME PROTECTION MARKET REPORT COVERAGE:
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REPORT METRIC
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DETAILS
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Market Size Available
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2025 - 2030
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Base Year
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2025
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Forecast Period
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2026 - 2030
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CAGR
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22%
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Segments Covered
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By component, deployment mode, organization size, industrial verticca and Region
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Various Analyses Covered
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Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities
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Regional Scope
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North America, Europe, APAC, Latin America, Middle East & Africa
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Key Companies Profiled
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CrowdStrike, Palo Alto Networks, Microsoft, IBM, Cisco, SentinelOne, Darktrace, Rapid7, Fortinet, Check Point Software Technologies, Vectra AI, Orca Security, Lacework, Wiz, and Sysdig.
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Global API Security & Runtime Protection Market Segmentation
Global API Security & Runtime Protection Market – By Component
- Introduction/Key Findings
- API Security Platforms
- Runtime Application Self-Protection (RASP)
- API Discovery & Inventory
- API Threat Detection & Analytics
- API Testing & Posture Management
- Others
- Y-O-Y Growth Trend & Opportunity Analysis
With enterprises preferring a unified approach to security, visibility, and scalable policies in growing API landscapes, API security platforms captured the largest market share (31%) with about 370.5 million USD in 2025.
API Testing & Posture Management accounted for about 11% of API revenue but grew most rapidly thanks to the shift toward DevSecOps, proactive validation, and reductions in the exposure of production-facing application interfaces and misconfigurations.
Global API Security & Runtime Protection Market – By Deployment Mode
- Introduction/Key Findings
- Cloud-Based
- On-Premises
- Hybrid
- Y-O-Y Growth Trend & Opportunity Analysis
Global API Security & Runtime Protection Market – By Organization Size
- Introduction/Key Findings
- Large Enterprises
- Small & Medium Enterprises (SMEs)
- Y-O-Y Growth Trend & Opportunity Analysis
Global API Security & Runtime Protection Market – By Industry Vertical

- Introduction/Key Findings
- BFSI
- IT & Telecommunications
- Retail & E-commerce
- Healthcare & Life Sciences
- Government & Defense
- Manufacturing
- Media & Entertainment
- Others
- Y-O-Y Growth Trend & Opportunity Analysis
BFSI holds the largest share of 28%, worth almost USD 334.7 million in 2025, owing to the transaction security requirements, fraud prevention considerations, and strict compliance guidelines in digital banking spaces worldwide.
Healthcare & Life Sciences was the fastest-growing vertical, bolstered by connected care platforms, interoperability projects, and increasing demand for protection of sensitive patient-facing APIs used for clinical and operational data flows.
Global API Security & Runtime Protection Market– Regional Analysis
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East & Africa
North America led the region with 40% of the total market share, owing to established cybersecurity budgets, adoption and maturity of cloud technologies, and the early application of runtime protection in various financial, technology, and digital service environments with complex API traffic volumes and compliance pressures at scale today.
Asia Pacific was the fastest-growing region, led by cloud acceleration, digital commerce growth, and increased enterprise investments in API visibility, threat analytics, and runtime controls across quickly modernizing business infrastructure and cross-border application ecosystems calling for more robust security governance models.

Latest Market News
Salt Security has published its 1H 2026 API and AI security research, which reveals that APIs are growing unsecured in two security areas and that agentic architectures are rapidly gaining traction in 2026.
Jan 22, 2026: Salt Security now integrates with Databricks and Netlify, providing 2 new connectivity capabilities and visibility across 3 environments: edge, AI, and legacy systems.
According to the Salt Security report H2 2025: The State of API Security, only 19% of organizations were very confident in the accuracy of their API inventories in 2025, which is how Salt Security has done things with “Ask Pepper AI” using AWS Bedrock.
AI agents will be increasingly used by 80% of organizations by 2028, according to Gartner, and Salt Security introduced an AI-agent API protection solution. The session ran from 11:00 to 11:45 a.m. PDT.
On May 14, 2025, Salt Security and Wiz announced a further partnership, which brings together two security layers—cloud and API—to provide enhanced posture visibility and incident response across the one unified platform integration.
In 2025, HCLSoftware and Salt Security announced that they have integrated two security phases—runtime and development—in HCL AppScan API Security to bridge the inventory management gap and minimize enterprise security blind spots for API assets.
Salt Security and CrowdStrike have added API security integrations that cover 3 functions: discovery, governance, and threat protection; and deployment visibility in minutes via Falcon Foundry.
Dec 17, 2024: Salt Security has expanded its partnership with CrowdStrike by combining 4 streams of telemetry (API, endpoint, identity, cloud) into a single operational workflow for threat analysis and integrating with Falcon Next-Gen SIEM.
Key Players
- CrowdStrike
- Palo Alto Networks
- Microsoft
- IBM
- Cisco
- SentinelOne
- Darktrace
- Rapid7
- Fortinet
- Check Point Software Technologies
Questions buyers ask before purchasing this report
What exactly does the Global API Security & Runtime Protection Market report cover?
It covers the dedicated product and platform side of API security and runtime protection. That includes API security platforms, runtime application self-protection, API discovery and inventory, API threat detection and analytics, and API testing and posture management. It also organizes the market by deployment mode, organization size, industry vertical, and region. Buyers use this structure to compare vendors and budget areas without mixing in adjacent categories such as generic IAM or broad endpoint security.
How does this report avoid double counting across overlapping API security tools?
It uses clear market boundaries and separates functions that are often bundled together. That matters because discovery, testing, posture management, and runtime enforcement can appear in the same suite but do not always represent separate revenue pools. A strong report should define one commercial boundary, then map each segment so the same revenue is not counted more than once. That makes the sizing logic more defensible for internal planning and external investment review.
Why is runtime protection important if we already have API discovery?
Discovery tells you what exists. Runtime protection helps you see what is happening right now and act on it. In many environments, the most damaging incidents come from misuse of valid endpoints, broken authorization, or traffic patterns that look legitimate at first glance. Buyers often underestimate this gap. A good report should show whether the market is moving from visibility-only tools toward live enforcement and contextual response.
How should I use the segmentation in this report when comparing vendors?
Start with component fit, then check deployment model and operational complexity. A vendor may look strong in API discovery but weak in enforcement, or strong in cloud but poor in hybrid estates. Organization size and industry vertical also matter because a large regulated enterprise has very different needs from a mid-market digital business. The report should help you compare these choices cleanly instead of forcing a one-size-fits-all shortlist.
What makes this market hard to size accurately?
The hard part is separating real API security revenue from adjacent application security, gateway, observability, and IAM revenue. Vendors often package capabilities together, and buyers often buy them together. That creates boundary risk. A rigorous report should therefore reconcile bottom-up vendor revenue, top-down demand logic, and financial disclosures where available. It should also show where estimates are strongest and where overlaps were removed.
Who should read this report inside an enterprise?
It is most useful for CISOs, application security leaders, platform engineering teams, procurement teams, and board-level risk stakeholders. Each group needs a different lens. Security leaders need exposure reduction. Engineering teams need fit and workflow impact. Procurement needs commercial clarity. Risk committees need evidence that controls are measurable and auditable. The report should help all of them reach the same buying decision without confusion.