The 5 signs your global internet network model is holding you back

Every enterprise network model reflects a set of decisions. Which providers to use. How regions are connected. Where control sits. How performance is managed. But over time, those decisions shape more than connectivity. They define how quickly the business can move, how reliably it can operate, and how easily it can scale.

And the problem is, most network models weren’t designed for today’s demands.

This blog breaks down the five signs your current network model is limiting performance, increasing complexity, and holding back growth.

What is an enterprise network model?

An enterprise network model defines how connectivity is designed, delivered, and managed across locations, providers, and technologies.

It determines:

• How quickly new sites can be deployed
• How consistently applications perform globally
• How complex network operations become
• How well the network can scale to support AI, cloud, and growth

When the model falls behind, performance issues follow.

5 Different types of enterprise network models

Here are the most common models shaping enterprise connectivity strategy today:

1. Traditional MPLS-based network model

What it is: A private, carrier-managed network designed for predictable, site-to-site connectivity.

Strengths:

• Reliable performance for fixed locations
• Strong security and traffic control

Limitations:

• Expensive to scale globally
• Lacks flexibility and agility
• Slow to deploy in new regions
• Not built for cloud, SaaS or AI network strategies

2. Internet-based (DIY) network model

What it is: A network built using public internet connections sourced from multiple local providers.

Strengths:

• Flexible access options (fiber, broadband, wireless)

Limitations:

• Contracts, regulations, pricing and technology can be complicated to manage
• Fractured visibility from multiple vendors
• Significant global network deployment challenges
• Heavy reliance on internal teams

3. Hybrid network model

What it is: A mix of MPLS and internet-based connectivity, often layered with SD-WAN.

Strengths:

• Balances cost and performance
• Supports gradual cloud adoption
• Adds some routing intelligence

Limitations:

• Complex to manage across regions
• Still dependent on multiple providers
• Visibility and control often remain fragmented

4. SD-WAN or SASE-led network model

What it is: An overlay-driven architecture that routes traffic dynamically across multiple connections.

Strengths:

• Improved application performance
• Better traffic steering and policy control
• Supports cloud-first strategies

Limitations:

• Still reliant on the quality of the underlying network
• Does not solve provider fragmentation
• Visibility can be limited to overlay performance only

5. Managed Network-as-a-Service (NaaS) model

What it is: A fully-managed approach where a single Network-as-a-Service provider designs, delivers, and operates your global network.

Strengths:

• Simplifies enterprise connectivity strategy
• Reduces vendor complexity by operating under a single contract
• Delivers consistent global performance
• Built for network scalability and AI network readiness
• Centralized visibility and control across all locations

Limitations:

• Requires a shift in operating model
• Depends on choosing the right partner

Most global organizations’ network models have found that having a blend of the options above isn’t suitable to the demands of a modern enterprise with significant performance variation, complexity, and visibility issues. In fact, according to IDC in Enterprise Horizons 2025:

• 94% of enterprises say their network is not ready for AI
• 52% expect to upgrade infrastructure to support future demand
• 28% have already lost revenue due to network performance issues
• 40% find it hard to scale networks in other regions due to outages and reliability issues

To combat this, 45% of businesses are moving towards a managed network model with a trusted connectivity partner.

5 signs your global internet network model isn’t working

Sign 1: Global network deployment is slow and unpredictable

What it looks like

• New sites take months, not weeks, to go live
• Deployment timelines vary significantly by region
• Local providers introduce delays and inconsistency

What it means

You’re facing global network deployment challenges driven by fragmented providers and inconsistent processes. This can slow down expansion, create complexity and risk right when your business needs agility.

Sign 2: Network performance issues vary by region

What it looks like

• Applications perform well in some locations but poorly in others
• Latency and reliability fluctuate across regions
• Performance troubleshooting is inconsistent

What it means

Your architecture lacks global consistency. We see this a lot as many enterprise networks were built region by region over time. Causing performance variation by region, and unreliable AI and cloud application performance.

Sign 3: Your team spends more time managing vendors than improving performance

What it looks like

• Multiple providers across regions
• Complex contracts and SLAs
• Frequent escalations between vendors

What it means:

Your enterprise connectivity strategy is fragmented. Instead of operating a network, your team is coordinating different network services across lots of providers. Which drains time, increases risk, and limits strategic progress.

Sign 4: You lack real-time visibility and control

What it looks like

• Limited insight into global network performance
• Difficulty identifying root causes of issues
• Disconnected tools and reporting

What it means

You don’t have a centralized view of your network. This can impact the business and create risks as without true network visibility, IT teams can’t diagnose issues quickly and optimize performance based on real-time data. It also limits IT leaders from making informed investment decisions.

Sign 5: Your network struggles to scale with demand

What it looks like

• Bandwidth upgrades are slow or complex
• Adding new regions increases operational burden
• AI and cloud initiatives expose capacity limits

What it means

Your model lacks network scalability. We see this a lot from traditional network models that weren’t designed for:

• AI-driven traffic spikes
• Distributed cloud environments
• Rapid global expansion

But scaling shouldn’t increase complexity. If growth makes your network harder to manage, your model is misaligned with the business.

What high-performing enterprises do differently

Leading organizations are adopting a Network-as-a-Service provider approach to simplify and scale connectivity.

This means that instead of managing multiple providers, they rely on a single partner to deliver:

• Consistent global architecture
• Built-in resilience and performance optimization
• Centralized visibility and control
• Faster, more predictable deployments

How can you assess your network model?

If any of these signs feel familiar, the next step is clarity with a structured network maturity assessment that gives you a clear view of:

• Where your network model is limiting performance
• How prepared you are for AI and cloud growth
• What needs to change to scale effectively

Download our enterprise network assessment and find out if your network model is holding your business back.

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FAQs about enterprise network management models

What are the signs of a poor enterprise network model?

Why is network scalability important for enterprises?

What is AI network readiness?

What is a network maturity assessment?

How can a Network-as-a-Service provider help?