Skip to main content

Bridging the Visibility Gap: A Path to Smarter Telecom Infrastructure

Jeff Collins
WanAware

Telecommunications is expanding at an unprecedented pace. With more than $300 billion invested in infrastructure since 2018, the industry is laying the groundwork for a new era powered by 5G, edge computing, AI-driven services, and smarter connectivity for everything from smart cities to remote healthcare. But progress brings complexity.

As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time.

The survey of 180 telecom leaders shows there's significant opportunity to enhance visibility across increasingly distributed, dynamic networks. While challenges persist, the data paints a clear path forward: intelligent observability is beneficial and foundational to unlocking the full return on infrastructure investments.

Investment Momentum Is Strong, But Oversight Must Keep Pace

The telecom sector is clearly in expansion mode. Over half (54%) of telecom leaders say their CapEx has increased over the past two years. Yet when it comes to investing in observability — the ability to monitor and act on network performance in real time — only 11% allocate more than 20% of their infrastructure budgets to it. This isn't due to a lack of interest. Rather, many leaders are navigating competing priorities. From expanding into rural markets to deploying new services and meeting customer demands, observability tools can sometimes fall behind in the investment queue.

Still, the connection is clear: visibility enables agility. Just 7% of respondents report having near-complete insight into their infrastructure today, while 62% say they can see less than half of their assets. Closing that gap isn't just about better monitoring. It's about maximizing the potential of every other initiative, from automation to sustainability.

Shared Infrastructure Is a Strategic Asset With New Visibility Requirements

The future of telecom lies in collaboration. Network-to-network interfaces (NNIs), which allow providers to share infrastructure and extend service reach, are now commonplace. Nearly 70% of respondents participate in at least one such arrangement, with some engaged in more than 10. These partnerships unlock powerful capabilities, but also introduce new layers of complexity. The survey found that 55% of operators have experienced service disruptions that could have been avoided with greater visibility, especially across shared or third-party infrastructure.

The good news? This is a solvable challenge. The more providers embrace observability as a shared priority — not just an internal one — the more resilient and high-performing these partnerships can become.

AI's Potential Is Real, But It Needs a Clear Line of Sight

There's widespread excitement about AI's role in telecom. From predictive maintenance to real-time anomaly detection, AI has the power to radically improve network operations. And adoption is growing: 57% of telecom leaders say they're piloting or beginning to implement AI-powered observability tools. Yet only 7% have fully deployed these solutions, and only 6% have seen a dramatic improvement in downtime.

What's holding things back? Respondents pointed to budget constraints, legacy system compatibility, and a need for specialized talent. But the biggest factor may be foundational visibility. AI is most effective when it operates on real-time, accurate data from across the network. AI can't optimize what it can't see. The solution lies in making observability a core component of AI strategies, not an afterthought.

Expansion Brings New Opportunities and Responsibilities

As the industry pushes to close the digital divide, providers are extending fiber, building towers, and deploying edge technologies in regions that have long lacked connectivity. These expansions are essential for equity and economic growth. At the same time, they present a new set of challenges. Roughly 40% of telecom leaders report that over a quarter of their network is currently insufficiently monitored, and one in four say they're not confident in their visibility into recently expanded areas.

Tool complexity is part of the issue. 30% of respondents use seven or more different tools to monitor their networks, making it harder to achieve a unified view. Simplifying and integrating observability can help providers stay ahead of operational demands, especially as networks become more decentralized.

Readiness for the Future Starts with Visibility Today

Telecom leaders are investing in next-generation architectures — from XaaS models to edge services — but many acknowledge they're not yet fully prepared to support these innovations with current visibility tools. Only 27% say they feel ready to provide observability for AI-intensive applications, and 80% report that their monitoring is still mostly manual.

Still, optimism is high. The majority of respondents recognize the need for change, and many are actively working to modernize their observability approach. As the industry continues to evolve, there's a clear appetite for solutions that are intelligent, integrated, and built to scale.

Building a Smarter, More Resilient Future

Observability is no longer optional. It's the key that unlocks everything else. When providers can see their networks clearly, they're better equipped to deliver reliable service, reduce downtime, detect threats early, and respond with speed and confidence. The good news from this year's benchmark report is that telecom leaders are asking the right questions, and many are taking steps toward better visibility. With the right tools and strategies, the industry has the opportunity to close the visibility gap and usher in a new era of efficient, AI-powered operations. As we continue building the networks of the future, observability will be the foundation we build on.

Jeff Collins is CEO of WanAware

The Latest

A new study by the IBM Institute for Business Value reveals that enterprises are expected to significantly scale AI-enabled workflows, many driven by agentic AI, relying on them for improved decision making and automation. The AI Projects to Profits study revealed that respondents expect AI-enabled workflows to grow from 3% today to 25% by the end of 2025. With 70% of surveyed executives indicating that agentic AI is important to their organization's future, the research suggests that many organizations are actively encouraging experimentation ...

Respondents predict that agentic AI will play an increasingly prominent role in their interactions with technology vendors over the coming years and are positive about the benefits it will bring, according to The Race to an Agentic Future: How Agentic AI Will Transform Customer Experience, a report from Cisco ...

A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...

As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

Bridging the Visibility Gap: A Path to Smarter Telecom Infrastructure

Jeff Collins
WanAware

Telecommunications is expanding at an unprecedented pace. With more than $300 billion invested in infrastructure since 2018, the industry is laying the groundwork for a new era powered by 5G, edge computing, AI-driven services, and smarter connectivity for everything from smart cities to remote healthcare. But progress brings complexity.

As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time.

The survey of 180 telecom leaders shows there's significant opportunity to enhance visibility across increasingly distributed, dynamic networks. While challenges persist, the data paints a clear path forward: intelligent observability is beneficial and foundational to unlocking the full return on infrastructure investments.

Investment Momentum Is Strong, But Oversight Must Keep Pace

The telecom sector is clearly in expansion mode. Over half (54%) of telecom leaders say their CapEx has increased over the past two years. Yet when it comes to investing in observability — the ability to monitor and act on network performance in real time — only 11% allocate more than 20% of their infrastructure budgets to it. This isn't due to a lack of interest. Rather, many leaders are navigating competing priorities. From expanding into rural markets to deploying new services and meeting customer demands, observability tools can sometimes fall behind in the investment queue.

Still, the connection is clear: visibility enables agility. Just 7% of respondents report having near-complete insight into their infrastructure today, while 62% say they can see less than half of their assets. Closing that gap isn't just about better monitoring. It's about maximizing the potential of every other initiative, from automation to sustainability.

Shared Infrastructure Is a Strategic Asset With New Visibility Requirements

The future of telecom lies in collaboration. Network-to-network interfaces (NNIs), which allow providers to share infrastructure and extend service reach, are now commonplace. Nearly 70% of respondents participate in at least one such arrangement, with some engaged in more than 10. These partnerships unlock powerful capabilities, but also introduce new layers of complexity. The survey found that 55% of operators have experienced service disruptions that could have been avoided with greater visibility, especially across shared or third-party infrastructure.

The good news? This is a solvable challenge. The more providers embrace observability as a shared priority — not just an internal one — the more resilient and high-performing these partnerships can become.

AI's Potential Is Real, But It Needs a Clear Line of Sight

There's widespread excitement about AI's role in telecom. From predictive maintenance to real-time anomaly detection, AI has the power to radically improve network operations. And adoption is growing: 57% of telecom leaders say they're piloting or beginning to implement AI-powered observability tools. Yet only 7% have fully deployed these solutions, and only 6% have seen a dramatic improvement in downtime.

What's holding things back? Respondents pointed to budget constraints, legacy system compatibility, and a need for specialized talent. But the biggest factor may be foundational visibility. AI is most effective when it operates on real-time, accurate data from across the network. AI can't optimize what it can't see. The solution lies in making observability a core component of AI strategies, not an afterthought.

Expansion Brings New Opportunities and Responsibilities

As the industry pushes to close the digital divide, providers are extending fiber, building towers, and deploying edge technologies in regions that have long lacked connectivity. These expansions are essential for equity and economic growth. At the same time, they present a new set of challenges. Roughly 40% of telecom leaders report that over a quarter of their network is currently insufficiently monitored, and one in four say they're not confident in their visibility into recently expanded areas.

Tool complexity is part of the issue. 30% of respondents use seven or more different tools to monitor their networks, making it harder to achieve a unified view. Simplifying and integrating observability can help providers stay ahead of operational demands, especially as networks become more decentralized.

Readiness for the Future Starts with Visibility Today

Telecom leaders are investing in next-generation architectures — from XaaS models to edge services — but many acknowledge they're not yet fully prepared to support these innovations with current visibility tools. Only 27% say they feel ready to provide observability for AI-intensive applications, and 80% report that their monitoring is still mostly manual.

Still, optimism is high. The majority of respondents recognize the need for change, and many are actively working to modernize their observability approach. As the industry continues to evolve, there's a clear appetite for solutions that are intelligent, integrated, and built to scale.

Building a Smarter, More Resilient Future

Observability is no longer optional. It's the key that unlocks everything else. When providers can see their networks clearly, they're better equipped to deliver reliable service, reduce downtime, detect threats early, and respond with speed and confidence. The good news from this year's benchmark report is that telecom leaders are asking the right questions, and many are taking steps toward better visibility. With the right tools and strategies, the industry has the opportunity to close the visibility gap and usher in a new era of efficient, AI-powered operations. As we continue building the networks of the future, observability will be the foundation we build on.

Jeff Collins is CEO of WanAware

The Latest

A new study by the IBM Institute for Business Value reveals that enterprises are expected to significantly scale AI-enabled workflows, many driven by agentic AI, relying on them for improved decision making and automation. The AI Projects to Profits study revealed that respondents expect AI-enabled workflows to grow from 3% today to 25% by the end of 2025. With 70% of surveyed executives indicating that agentic AI is important to their organization's future, the research suggests that many organizations are actively encouraging experimentation ...

Respondents predict that agentic AI will play an increasingly prominent role in their interactions with technology vendors over the coming years and are positive about the benefits it will bring, according to The Race to an Agentic Future: How Agentic AI Will Transform Customer Experience, a report from Cisco ...

A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...

As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...