Exponential growth in the adoption of digital businesses has compelled company leaders to look for new ways of developing and operating software. Tech stacks have become crazier than they’ve ever been, with multi-cloud environments, increasing AI-workload sizes and more constraints than ever to adhere to. By 2024, 89% of organizations had adopted a multi-cloud strategy, and 73% had adopted a hybrid cloud strategy.
At the same time, boards are increasingly demanding tangible return on investment (ROI) on their technology investments. This has led to the adoption of DevOps platforms and internal developer platforms (IDPs). These platforms provide a shared space where product, operations and security teams come together, making DevOps a reality rather than just a cultural phenomenon.
From Siloed Toolchains to Unified Platforms
DevOps practices used to be a mess of individual tools and scripts that were often the province of individual teams. As organizations grew, the resulting ad hoc pipelines became a barrier to consistent environments, leading to a lack of visibility and unnecessary work. Platform engineering is the recognition that infrastructure and pipelines should be thought of as products.
Analysts expect that 80% of software development organizations will use IDPs by 2026. It’s easy to see why. In 2025, 76% of DevOps teams integrated AI into their CI/CD pipelines. GitOps was used by 64% and 81% reported improved reliability and decreased rollback time.
That’s where cross-functional delivery squads come in. Instead of breaking out product, ops and security into separate tracks, the squads manage the entire process and align every sprint with business objectives. Leveraging standardized CI/CD pipelines and policy as code enables faster lead times and reduces the amount of rework.
Companies with internal platforms claim that setup time is reduced from days to minutes, and the number of internal DevOps tickets is reduced by 40%. As Segun Onibalusi, CEO of Detutu Media explains, “Embedding security and automation early in the pipeline turns software delivery into a strategic asset. When engineers can provision secure environments on demand, they spend their time building value rather than chasing fires.” This is a perspective that many cybersecurity professionals understand the importance of.
Quantifying ROI: Faster Releases, Reduced Downtime and Lower Costs
Boards and investors aren’t interested in vague promises of agility. They want hard numbers. Several major trends highlight why DevOps platforms are producing strong financial results. Markets and Markets estimates that the worldwide DevOps marketplace, currently valued at $10.4 billion, will rise to $25.5 billion by 2028, a 19.7% compound annual growth rate (CAGR).
This growth is driven by the need for faster software release, automation and secure cloud configurations — and then there’s the issue of downtime, which, quite frankly, is getting insanely expensive.
According to a Ponemon Institute report (2016), the typical cost of downtime rose from $5,600 a minute to almost $9,000 a minute. According to Forbes, for high-risk industries, the losses could be as much as $5 million an hour.
Even for smaller businesses, the costs could range from $137 to $427 a minute. DevOps platforms reduce these costs by incorporating testing, monitoring and rollbacks into the software release process, reducing failures and the time to get the system up and running again.
Delivery teams make DevOps pay by creating ‘golden paths’ for the typical tasks. They avoid building infrastructure for each project and use the approved components, speeding up the release of features and generating revenue faster. Policy as code helps detect suspicious changes, preventing downtime and the costs that accompany it.
Platform governance relates cloud costs to products, enforcing tagging, budgeting and right sizing, making cloud costs predictable. The ROI calculation is straightforward: Minutes saved × minutes’ cost + direct costs saved, costs avoided and costs paid = OpEx costs saved. Organizations that invest in platforms report faster lead times, reduced downtime and lower total costs of ownership.
Case studies illustrate the payoff. For a FinTech scale‑up, a platform‑enabled delivery squad doubled environment build speeds and provided a foundation to scale to billions in valuation. A HealthTech company achieved predictable releases and a strong compliance posture by automating infrastructure and centralizing security controls. These examples reinforce the broader pattern: Standardization and automation translate engineering improvements into measurable business value.
Secure by Design: DevSecOps and Compliance Built-In
Security experts are aware that you cannot sprint without security — speed + security is the only sane combo. Security and compliance are now being integrated directly into DevOps pipelines using terms like DevSecOps. The market for DevSecOps was valued at $3.73 billion in 2021 and will grow to a valuation of around $41.66 billion by 2030, with a CAGR of around 30.76%.
The adoption rate is also increasing — 36% of teams are developing software with DevSecOps practices in place, and 72% of organizations are combining it with observability and security. Compliance is also driving this growth. Hybrid and multi-cloud environments are leading to complex networks with varying runtime models. Standards such as Software Bill of Materials (SBOM) and Supply Chain Levels for Software Artifacts (SLSA) are now becoming the norm. These rules are implemented using policy as code. Security scanning, static analysis, secret detection, vulnerability management and compliance are all run with every build. This ensures that problems are identified when they are cheap to fix.
Observability is also implemented from the start. This means that telemetry, logs and traces are automatically collected to provide real-time insights. The quality of internal platforms is particularly important because it improves all aspects of AI. Low-quality internal platforms will not improve anything.
With 90% of all organizations now having internal platforms and 75% of those organizations now having dedicated platform teams, the building blocks are in place to deliver scalability in security. The reward is not only about avoiding a breach; it’s about being able to trust code to deploy more often.
People, Culture and the Platform Advantage
It’s not just about the tools themselves; it’s about the people using those tools and the culture they build around them. The 2025 DORA Report on the State of AI-Assisted Software Development highlights a ‘trust paradox’ in software development: “More than eight in ten developers see a productivity increase from AI, but about three in ten don’t trust code generated by AI tools.” The most successful organizations are those that see AI and automation as a way to supercharge what they already do well.
Platforms and value stream management (VSM) are important because they ensure that local optimization benefits are realized at scale. The quality of a platform is a key differentiator: High-quality platforms amplify AI benefits, as shown in DORA’s 2025 report, whereas low-quality platforms can cancel AI benefits altogether.
Culture is important because the DevOps platform fundamentally changes the way people work. It reduces the mental load on engineers. With the use of golden paths and self-service portals, developers are able to create compliant environments without waiting on the central teams. There is oversight from the security and operations teams. As a result, engineers become more autonomous and more accountable. There is also the aspect of ongoing learning. Developers get to try new things with the tools and patterns they use, fostering innovation without compromising stability.
To cybersecurity professionals, platform engineering is a unique opportunity to strike the right balance between speed and security. With security integrated into platforms, every application is more secure. There is observability and incident response. When the teams share the same platform, they share the same language. As a result, threat models, tabletop exercises and remediation become easier.
Conclusion
Investing in DevOps platforms is an important business decision, not just a technology decision. It’s an investment that makes sense, as analysts expect double-digit growth in the market. These platforms offer standardized pipelines that include guardrails, reducing the time spent on setup and tickets and enabling faster release and operation. They also enable delivery teams to turn engineering work into faster revenue and less downtime. They offer security and compliance, so speed and security are no longer mutually exclusive.
For cybersecurity professionals, the lesson here is that they should be champions of investing in DevOps platforms, reducing risks and driving growth. Every minute of downtime costs money, and every breach hurts reputation. Investing in platform-driven DevOps is an opportunity that no business can afford to pass up, where enterprises can move faster, run more reliably and build trust with customers and regulators.