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Top 5 Trends, Insights and Recommendations to Plan your Enterprise WAN for 2020 and Beyond

Shashi Kiran
Aryaka Networks

In your organization, the wide area network (WAN) is probably the least of an application developer's concern, but one of the most vital in terms of delivering application performance over the internet or across your private corporate network. CIOs quickly realize that a good network can either be a great enabler for digital transformation initiatives or a bottleneck.

The COVID-19 situation has further put a spotlight on the WAN as an agent of change. Organizations that were able to adapt quickly were the ones that had an agile network that was amenable to changing business and operational models. Network operators were deemed essential commodities in most nations, and I expect cloud-first architectural approaches that allow an organization to be nimbler to accelerate.

At Aryaka Networks, we recently released our fourth annual Global State of the WAN survey report. To develop this report, we polled over a thousand enterprise respondents the world over that included CIOs, network and security professionals. These were across several verticals and across multiple geographies.

I'd like to share a few insights from this report that may help enterprises that are in their planning cycles for 2020 and beyond.

1. Operational Complexity is the Biggest Hurdle to WAN Transformation

Nearly 37% of the respondents cited operational complexity as their biggest hurdle to their WAN transformation efforts. This was across both on-premises and cloud deployments. While technologies such as SD-WAN have promised agility, managing them across distributed sites, troubleshooting them and interworking with legacy technologies like Multi-Protocol Label Switching (MPLS) have all contributed to rising complexity. This has replaced costs as a top area of concern compared to previous years. WAN architectures that are simple to deploy and operate will lend themselves to better change management and transformation.

2. SaaS Adoption is Growing; Multi-cloud Networking is Becoming Table Stakes

The number of SaaS applications in an enterprise is increasing, with over 7% of enterprises consuming over 50 SaaS applications. Not surprisingly, the adoption of SaaS in the enterprise (organizations deploying 10+ SaaS applications) has more than doubled year-over-year from 23% to 51%. We also see enterprises embracing a multi-cloud strategy not just across public clouds, but across a mixture of public, SaaS and private enterprise cloud deployments. Collaboration applications are at the top of the stack here. WAN architectures that deliver multi-cloud networking should be the norm moving forward.

3. Performance, Security and User-Experience are Top of Mind. WAN Optimization is Still Popular

The convergence of the WAN and security is certainly happening across both on-premises and cloud deployments. Gartner created categories like Secure Access Service Edge (SASE) are in the research phase for some enterprises. WANs also need to support high-performance for a multitude of applications, and most specifically enable voice and video, including HD video. 84% are considering a managed firewall solution. Surprisingly, WAN optimization continues to be both relevant and popular, particularly for global deployments

4. Barriers to Scaling SD-WAN Include Performance Issues, DIY Complexity and Cost Concerns

SD-WAN adoption is growing. However, application performance on SD-WANs for global deployments still appears to be a barrier causing hesitance to migrate off of legacy MPLS technologies. Despite the promise of simplicity, do-it-yourself (DIY) implementations are surprisingly complicated across distributed sites and are contributing to operational complexity. Modernizing the WAN should include consumption friendly network-as-a-service approaches that deliver both simplicity and agility. OPEX-based subscription models with flexible bandwidth pooling, licensing etc. can de-risk SD-WAN adoption.

5. Managed SD-WAN is Seeing a Significant Uptick Globally

The rise of complexity across the WAN—particularly across end-to-end deployments, global rollouts, last mile, multi-cloud environments and security convergence—is necessitating the need for greater expertise and training needs, leading to cost escalations and shortage of skilled personnel in branch locations. This is impacting time-to-market and reducing competitiveness. A key standout of the 2020 survey was a nearly 30% jump in respondents wanting a managed SD-WAN. This number shifted from 59% to 87% over the past year. Most enterprises don't enjoy their experience with the Telcos and traditional managed service providers and are constantly exploring "better-than-Telco" alternatives. Enterprises are encouraged to evaluate TCO vs. just CAPEX to determine best fit between DIY models and managed service providers. Specifically look for better integration between the SD-WAN technology, the network and service delivery for a better experience.

Shashi Kiran is CMO at Aryaka Networks

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Top 5 Trends, Insights and Recommendations to Plan your Enterprise WAN for 2020 and Beyond

Shashi Kiran
Aryaka Networks

In your organization, the wide area network (WAN) is probably the least of an application developer's concern, but one of the most vital in terms of delivering application performance over the internet or across your private corporate network. CIOs quickly realize that a good network can either be a great enabler for digital transformation initiatives or a bottleneck.

The COVID-19 situation has further put a spotlight on the WAN as an agent of change. Organizations that were able to adapt quickly were the ones that had an agile network that was amenable to changing business and operational models. Network operators were deemed essential commodities in most nations, and I expect cloud-first architectural approaches that allow an organization to be nimbler to accelerate.

At Aryaka Networks, we recently released our fourth annual Global State of the WAN survey report. To develop this report, we polled over a thousand enterprise respondents the world over that included CIOs, network and security professionals. These were across several verticals and across multiple geographies.

I'd like to share a few insights from this report that may help enterprises that are in their planning cycles for 2020 and beyond.

1. Operational Complexity is the Biggest Hurdle to WAN Transformation

Nearly 37% of the respondents cited operational complexity as their biggest hurdle to their WAN transformation efforts. This was across both on-premises and cloud deployments. While technologies such as SD-WAN have promised agility, managing them across distributed sites, troubleshooting them and interworking with legacy technologies like Multi-Protocol Label Switching (MPLS) have all contributed to rising complexity. This has replaced costs as a top area of concern compared to previous years. WAN architectures that are simple to deploy and operate will lend themselves to better change management and transformation.

2. SaaS Adoption is Growing; Multi-cloud Networking is Becoming Table Stakes

The number of SaaS applications in an enterprise is increasing, with over 7% of enterprises consuming over 50 SaaS applications. Not surprisingly, the adoption of SaaS in the enterprise (organizations deploying 10+ SaaS applications) has more than doubled year-over-year from 23% to 51%. We also see enterprises embracing a multi-cloud strategy not just across public clouds, but across a mixture of public, SaaS and private enterprise cloud deployments. Collaboration applications are at the top of the stack here. WAN architectures that deliver multi-cloud networking should be the norm moving forward.

3. Performance, Security and User-Experience are Top of Mind. WAN Optimization is Still Popular

The convergence of the WAN and security is certainly happening across both on-premises and cloud deployments. Gartner created categories like Secure Access Service Edge (SASE) are in the research phase for some enterprises. WANs also need to support high-performance for a multitude of applications, and most specifically enable voice and video, including HD video. 84% are considering a managed firewall solution. Surprisingly, WAN optimization continues to be both relevant and popular, particularly for global deployments

4. Barriers to Scaling SD-WAN Include Performance Issues, DIY Complexity and Cost Concerns

SD-WAN adoption is growing. However, application performance on SD-WANs for global deployments still appears to be a barrier causing hesitance to migrate off of legacy MPLS technologies. Despite the promise of simplicity, do-it-yourself (DIY) implementations are surprisingly complicated across distributed sites and are contributing to operational complexity. Modernizing the WAN should include consumption friendly network-as-a-service approaches that deliver both simplicity and agility. OPEX-based subscription models with flexible bandwidth pooling, licensing etc. can de-risk SD-WAN adoption.

5. Managed SD-WAN is Seeing a Significant Uptick Globally

The rise of complexity across the WAN—particularly across end-to-end deployments, global rollouts, last mile, multi-cloud environments and security convergence—is necessitating the need for greater expertise and training needs, leading to cost escalations and shortage of skilled personnel in branch locations. This is impacting time-to-market and reducing competitiveness. A key standout of the 2020 survey was a nearly 30% jump in respondents wanting a managed SD-WAN. This number shifted from 59% to 87% over the past year. Most enterprises don't enjoy their experience with the Telcos and traditional managed service providers and are constantly exploring "better-than-Telco" alternatives. Enterprises are encouraged to evaluate TCO vs. just CAPEX to determine best fit between DIY models and managed service providers. Specifically look for better integration between the SD-WAN technology, the network and service delivery for a better experience.

Shashi Kiran is CMO at Aryaka Networks

Hot Topics

The Latest

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...