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SDN Market Expected to Experience Strong Growth

Pete Goldin
APMdigest

SDN is not expected to truly catch on in 2016, according to some experts on APMdigest's 2016 predictions list, however a recent International Data Corporation (IDC) forecast says: the worldwide software-defined networking (SDN) market — comprising physical network infrastructure, virtualization/control software, SDN applications (including network and security services), and professional services — will have a compound annual growth rate (CAGR) of 53.9% from 2014 to 2020 and will be worth nearly $12.5 billion in 2020.

IDC says software-defined networking continues to gain market traction as an innovative architectural model capable of enabling automated provisioning, network virtualization, and network programmability for datacenters at cloud-providers and enterprise networks. Although SDN initially found favor in hyperscale datacenters and at large-scale cloud service providers, it is winning adoption in a growing number of enterprise datacenters across a broad range of vertical markets.

While the physical network, encompassing datacenter switches, will still account for the largest single segment of the SDN market in 2020, per the IDC research, the fastest growth will be found in the two software categories – the virtualization/control layer and SDN applications – which together will be worth approximately $5.9 billion. IDC expects the virtualization/control layer software market to reach $2.4 billion in 2020, with a CAGR of nearly 64% during the forecast period. SDN applications – including Layer 4-7 network and security services and analytics – are forecast to achieve a CAGR of 66% through 2020, when they will account for revenue of more than $3.5 billion.

"Cloud computing and the 3rd Platform have driven the need for SDN, which will represent a market worth more than $12.5 billion in 2020. Not surprisingly, the value of SDN will accrue increasingly to network-virtualization software and to SDN applications, including virtualized network and security services. Large enterprises are now realizing the value of SDN in the datacenter, but ultimately, they will also recognize its applicability across the WAN to branch offices and to the campus network," said Rohit Mehra, VP, Network Infrastructure at IDC.

“While networking hardware will continue to hold a prominent place in network infrastructure, SDN is indicative of a long-term value migration from hardware to software in the networking industry. For vendors, this will portend a shift to software- and service-based business models, and for enterprise customers, it will mean a move toward a more collaborative approach to IT and a more business-oriented understanding of how the network enables application delivery," said Brad Casemore, Director of Research for Datacenter Networking at IDC.

Pete Goldin is Editor and Publisher of APMdigest

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SDN Market Expected to Experience Strong Growth

Pete Goldin
APMdigest

SDN is not expected to truly catch on in 2016, according to some experts on APMdigest's 2016 predictions list, however a recent International Data Corporation (IDC) forecast says: the worldwide software-defined networking (SDN) market — comprising physical network infrastructure, virtualization/control software, SDN applications (including network and security services), and professional services — will have a compound annual growth rate (CAGR) of 53.9% from 2014 to 2020 and will be worth nearly $12.5 billion in 2020.

IDC says software-defined networking continues to gain market traction as an innovative architectural model capable of enabling automated provisioning, network virtualization, and network programmability for datacenters at cloud-providers and enterprise networks. Although SDN initially found favor in hyperscale datacenters and at large-scale cloud service providers, it is winning adoption in a growing number of enterprise datacenters across a broad range of vertical markets.

While the physical network, encompassing datacenter switches, will still account for the largest single segment of the SDN market in 2020, per the IDC research, the fastest growth will be found in the two software categories – the virtualization/control layer and SDN applications – which together will be worth approximately $5.9 billion. IDC expects the virtualization/control layer software market to reach $2.4 billion in 2020, with a CAGR of nearly 64% during the forecast period. SDN applications – including Layer 4-7 network and security services and analytics – are forecast to achieve a CAGR of 66% through 2020, when they will account for revenue of more than $3.5 billion.

"Cloud computing and the 3rd Platform have driven the need for SDN, which will represent a market worth more than $12.5 billion in 2020. Not surprisingly, the value of SDN will accrue increasingly to network-virtualization software and to SDN applications, including virtualized network and security services. Large enterprises are now realizing the value of SDN in the datacenter, but ultimately, they will also recognize its applicability across the WAN to branch offices and to the campus network," said Rohit Mehra, VP, Network Infrastructure at IDC.

“While networking hardware will continue to hold a prominent place in network infrastructure, SDN is indicative of a long-term value migration from hardware to software in the networking industry. For vendors, this will portend a shift to software- and service-based business models, and for enterprise customers, it will mean a move toward a more collaborative approach to IT and a more business-oriented understanding of how the network enables application delivery," said Brad Casemore, Director of Research for Datacenter Networking at IDC.

Pete Goldin is Editor and Publisher of APMdigest

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The Latest

Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...