Executive Summary
Enterprises are under increasing pressure to modernize networking architectures as cloud adoption accelerates and AI workloads become increasingly distributed across clouds, enterprise environments, partners, and sovereign regions, creating new performance, scalability, and operational requirements. Traditional networking approaches built around fixed infrastructure, dedicated circuits, and lengthy provisioning cycles often struggle to provide the agility needed to support evolving business demands. Organizations are increasingly seeking software-defined connectivity that enables rapid provisioning, flexible scaling, resilient connectivity across distributed environments, and simplified access to partners and service providers.1
Equinix Networking Solutions, including Equinix Fabric, Fabric Cloud Router, and Network Edge, provide the software-defined connectivity foundation for Equinix Connected Cloud. Together, they enable organizations to securely connect clouds, AI providers, partners, and enterprise environments through a flexible, on-demand interconnection model. These capabilities also serve as the foundation for Fabric One, Equinix’s evolving managed and intent-based networking experience.
Equinix commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Equinix Networking Solutions.2 The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of Equinix Networking Solutions on their organizations.
Key Statistics
190%
Return on investment (ROI)
$3.1M
Benefits PV
$2.1M
Net present value (NPV)
To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed four decision-makers with experience using Equinix Networking Solutions. For the purposes of this study, Forrester aggregated the experiences of the interviewees and combined the results into a single composite organization, which is an international organization operating in North America and Europe with annual revenue of $5 billion and 10,000 employees.
Interviewees said that before deploying Equinix Networking Solutions, provisioning cycles were not fast or agile enough for certain emerging demands. They found that routing performance, particularly over long distances and across international regions, had both performance and latency challenges as well as potential regulatory risks. They also had concerns about the rigid cost structure associated with physical networking while planning for uncertain future AI-related capacity needs. Central to these challenges was supporting business needs tied to distributed cloud environments and AI-driven performance.
After deploying Equinix Networking Solutions, interviewees transformed key portions of their networking infrastructure from physical, hardware-centric environments into flexible, software-defined networks. Through Equinix Fabric, Fabric Cloud Router, and Network Edge, organizations gained significantly faster provisioning, direct access to cloud and partner ecosystems, improved resiliency, and improved the ability to scale connectivity on demand. Interviewees emphasized that Equinix enables them to respond more quickly to changing business requirements while reducing infrastructure complexity.
Interviewees consistently emphasized that the value of Equinix Networking Solutions extends beyond direct cost savings. They highlighted improved agility, architectural flexibility, resiliency, and simplified connectivity across cloud, partner, and enterprise environments. Several described these capabilities as helping to “derisk IT” and establish a foundation that can support future networking and infrastructure initiatives as requirements evolve.
Key Findings
Quantified benefits. Three-year, risk-adjusted present value (PV) quantified benefits for the composite organization include:
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Accelerated network provisioning reduces deployment effort and saves $360,000 in infrastructure administration costs. By enabling on-demand network provisioning through a virtualized platform, Equinix Networking Solutions reduce the time and effort required to deploy and modify connectivity services. Network teams spend less time coordinating carriers, procuring hardware, and implementing physical infrastructure — generating productivity savings while accelerating cloud, AI, and business transformation initiatives.
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Software-defined connectivity reduces dependence on physical network infrastructure, generating $1.5 million in savings. As AI initiatives drive the need for greater network bandwidth, thus prompting the need for additional network connections, Equinix Networking Solutions offer virtual connections that are more cost-effective than traditional physical/MPLS connections. As connectivity requirements increase across cloud, partner, and AI-related environments, the organization scales network capacity more cost-effectively while avoiding a proportional increase in infrastructure spending.
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Dynamic bandwidth scaling improves network utilization and generates $1.1 million in avoided excess capacity costs. Equinix Networking Solutions enable the organization to align network capacity with actual business demand. Rather than purchasing and maintaining excess bandwidth to accommodate peak usage, networking teams can scale capacity up or down as requirements change. This improves utilization and lowers overall connectivity costs while preserving operational flexibility.
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Private traffic exchange reduces cloud and network egress costs by 77%. By routing traffic through private interconnection rather than the public internet, the organization reduces the cost of moving data among cloud providers, business partners, and enterprise environments. In addition to lowering network and cloud-related expenses, private connectivity supports security, compliance, and performance objectives across the organization’s hybrid and multicloud ecosystem.
Unquantified benefits. Benefits that provide value for the composite organization but are not quantified for this study include:
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Improved business agility through on-demand provisioning and ecosystem. Organizations accelerated connectivity to cloud providers, partners, service providers, and emerging technology platforms while reducing the effort required to support new business requirements.
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Increased end-user and customer gains from lower latency. Organizations improved application performance and user experiences by reducing latency and bringing connectivity closer to users, cloud platforms, and business partners.
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Reduced security, compliance, and governance risk through private connectivity. Organizations strengthened security and compliance by leveraging private connectivity, reducing reliance on the public internet for critical business traffic.
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Reduced business disruption through resiliency and failover capabilities. Organizations improved operational resilience through redundant connectivity and simplified failover capabilities, helping maintain service continuity during outages and disruptions.
Quantified costs. Three-year, risk-adjusted PV costs for the composite organization include:
Equinix network service costs of $1.1 million. The composite organization incurs service fees over the course of three years of $350,000, $400,000, and $450,000, respectively, as its virtual deployment grows. The risk-adjusted present value of this cost totals just over $1.0 million over three years for the composite organization.
The representative interviews and financial analysis found that the composite organization experienced benefits of $3.1 million over three years versus costs of $1.1 million resulting in a net present value (NPV) of $2.1 million and an ROI of 190%.
$3.1 million
Total quantified benefits attained over a three-year period by the composite customer of Equinix Networking Solutions
Benefits (Three-Year)
The Equinix Networking Solutions Customer Journey
Drivers leading to the Equinix Networking Solutions investment
Interviews
| Role | Industry | Region |
|---|---|---|
| Vice president, core network service | Financial services | North America, Europe |
| Head of enterprise architecture | Aerospace | Global |
| AVP of engineering | Insurance/financial services | North America, Europe |
| Operations director (network, engineering, governance) | Financial services infrastructure | South America |
Key Challenges
All interviewees cited evolving, growing demands outpacing what could reasonably be managed with physical networking, with the pace of change being more rapid than traditional network upgrade cycles could accommodate. The AI and distributed infrastructure demands and the related strains focused on four key areas:
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Legacy provisioning cycles that weren’t fast or agile enough for current or future demands. Interviewees reported that traditional network deployment models relied heavily on carrier circuits, physical infrastructure, and manual provisioning processes that often required weeks or months to complete. As cloud adoption accelerated and business requirements changed more rapidly, organizations found their existing provisioning processes insufficiently agile to support new initiatives, capacity upgrades, and evolving connectivity requirements.
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Inefficient routing and latency from centralized, data center-centric architectures. Many organizations operated networks designed around historical data center locations rather than users, cloud providers, and business ecosystems. This often resulted in inefficient traffic paths, unnecessary backhauling of traffic, and increased latency. Particularly for customer-facing and transaction-sensitive workloads, these performance limitations negatively affected productivity, user experience, and business responsiveness.
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Operational complexity and resiliency challenges associated with managing circuits, hardware, failover, outages, etc. Legacy networking environments required organizations to manage an increasingly complex mix of carrier circuits, physical networking equipment, cloud connectivity, resiliency planning, and infrastructure lifecycle activities. As networks expanded to support cloud services and digital business initiatives, operational overhead increased while maintaining availability and resiliency became more challenging and resource intensive.
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Growing distributed infrastructure connectivity demands required faster, simpler access to cloud providers, AI platforms, partners, customers, and service providers. As organizations expanded their cloud footprints and increased collaboration with customers, partners, and service providers, networking requirements became significantly more complex. Traditional approaches often required separate infrastructure, carrier relationships, and deployment processes for each new connection. Interviewees sought a simpler, more scalable approach that could support distributed architectures, partner ecosystems, and future connectivity requirements without introducing additional operational burden.
Investment Objectives
The interviewees’ organizations searched for a solution that could:
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Significantly reduce provisioning timelines and complexity.
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Improve agility by accelerating the ability to access partner, cloud provider, and customer ecosystems.
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Display the flexibility to scale up and/or down capacity to reduce waste and right-size investment to actual network traffic volumes.
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Simplify network operations by reducing physical infrastructure, minimizing networking complexity, and supporting software-defined, virtualized architectures.
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Derisk IT during periods of rapid change by illustrating a track record of stability and innovation.
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Reduce operational complexity by simplifying the design, deployment, and management of distributed-connectivity environments.
Composite Organization
Based on the interviews, Forrester constructed a TEI framework, a composite company, and an ROI analysis that illustrates the areas financially affected. The composite organization is representative of the interviewees’ organizations, and it is used to present the aggregate financial analysis in the next section. The composite organization has the following characteristics:
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Description of composite. The composite organization is a large enterprise, with $5 billion in annual sales and 10,000 employees. The organization is international, with six locations across North America and Europe. It has 120 physical network connections as it starts to deploy Equinix Networking Solutions, with the volume rising annually.
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Deployment characteristics. The composite organization begins Year 1 by deploying 20% of its networking infrastructure on Equinix Networking Solutions, with the percentage rising each year. By Year 3, 60% of the networking capacity is deployed virtually with Equinix.
KEY ASSUMPTIONS
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$5 billion annual revenue]
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10,000 employees
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Equinix Networking Solutions user for 36 months
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Operates six physical locations in North America and Europe
Analysis Of Benefits
Quantified benefit data as applied to the composite
Total Benefits
| Ref. | Benefit | Year 1 | Year 2 | Year 3 | Total | Present Value |
|---|---|---|---|---|---|---|
| Atr | Reduced infrastructure deployment costs through automated provisioning | $144,900 | $144,900 | $144,900 | $434,700 | $360,345 |
| Btr | Reduced network infrastructure costs via software-defined connectivity | $259,200 | $604,800 | $1,036,800 | $1,900,800 | $1,514,434 |
| Ctr | Connectivity cost reduction through dynamic bandwidth scaling | $518,400 | $448,200 | $340,200 | $1,306,800 | $1,097,283 |
| Dtr | Network egress cost avoidance through private traffic exchange | $28,080 | $67,860 | $122,850 | $218,790 | $173,909 |
| Total benefits (risk-adjusted) | $950,580 | $1,265,760 | $1,644,750 | $3,861,090 | $3,145,971 |
Reduced Infrastructure Deployment Costs Through Automated Provisioning
Evidence and data. Interviewees reported that their organizations’ infrastructure-provisioning activities that previously required significant manual effort from network and infrastructure teams could be completed through Equinix’s automated provisioning capabilities and self-service portal. Automation reduced the administrative effort associated with deploying and configuring infrastructure resources, accelerated deployment timelines, and lessened dependence on highly skilled engineering resources for routine provisioning tasks.
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This benefit reflects the monetization of time savings of the network administrators and architects. Manual infrastructure provisioning required 32 hours of network engineering effort per instance, while provisioning through Equinix’s automated portal required 4 hours per instance. Organizations therefore saved 28 hours per provisioning instance.
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The benefit quantification does not include the difference between provisioning on-demand and the process of ordering physical equipment to be delivered and installed, which can avoid significant delays in project timelines.
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Interviewees indicated that beyond the direct labor savings, automation improved deployment consistency, reduced coordination requirements among teams, and enabled infrastructure resources to be more quickly deployed in support of business initiatives.
Modeling and assumptions. Forrester assumes the following about the composite organization:
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Network engineering labor is valued at a fully burdened rate of $115 per hour.
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The composite organization completes 50 provisioning instances per year. Provisioning volumes remain consistent throughout the analysis period.
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Labor hours saved are assumed to be redeployed toward higher-value infrastructure, network, and transformation initiatives rather than resulting in direct headcount reductions.
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The benefit is categorized as an operational efficiency gain generated through reduced manual effort and faster deployment execution.
Risks. Key factors that may influence the magnitude of the realized benefit include:
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Organizations may already have partially automated provisioning processes, reducing the incremental time savings available.
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Deployment frequency may be lower than modeled, resulting in fewer provisioning events each year.
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Highly standardized environments may require less manual effort before implementation, shrinking the productivity improvement.
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Engineering teams may continue to perform manual validation, governance, or change-control activities that limit realized labor reductions.
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Adoption of automated provisioning workflows may occur more gradually than expected across infrastructure teams.
Results. To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $360,000.
86%
Reduction in hours spent by network engineers from partitioning networking instances virtually
Reduced Infrastructure Deployment Costs Through Automated Provisioning
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| A1 | Hours to complete manual provisioning instance | Interviews | 32 | 32 | 32 | |
| A2 | Hours to provision on-demand using Equinix portal | Interviews | 4 | 4 | 4 | |
| A3 | Hours saved per instance of provisioning | A1-A2 | 28 | 28 | 28 | |
| A4 | Fully burdened hourly rate for a network engineer | Composite | $115 | $115 | $115 | |
| A5 | Labor expense saved per instance | A3*A4 | $3,220 | $3,220 | $3,220 | |
| A6 | Provisioning instances annually | Composite | 50 | 50 | 50 | |
| At | Reduced infrastructure deployment costs through automated provisioning | A5*A6 | $161,000 | $161,000 | $161,000 | |
| Risk adjustment | ↓10% | |||||
| Atr | Reduced infrastructure deployment costs through automated provisioning (risk-adjusted) | $144,900 | $144,900 | $144,900 | ||
| Three-year total: $434,700 | Three-year present value: $360,345 | |||||
Reduced Network Infrastructure Costs Via Software-Defined Connectivity
Evidence and data. Interviewees’ organizations reduced WAN/network connectivity costs by replacing traditional MPLS circuits with software-defined connections delivered through Equinix Fabric. Instead of provisioning dedicated physical telecom circuits between locations and cloud providers, enterprises could establish virtual connections on demand, significantly lowering recurring network expenses.
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Interviewees attributed networking footprint growth to evolving business needs, specifically but not exclusively due to AI initiatives.
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Interviewees also stated that their end goal was not to convert entire networking infrastructures to this virtual software-defined model — but they targeted elements of operations that would most benefit with the agility and performance associated with Equinix Networking Solutions.
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Each interviewee’s organization started with a specific use case then subsequently added capacity. One interviewee, an AVP of engineering in the insurance/financial services industry, identified the ideal balance as two-thirds virtual and one-third physical networking for its infrastructure.
Modeling and assumptions. Forrester assumes the following about the composite organization:
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The composite organization increases its network connections from 120 to 160 while increasing Fabric adoption from 20% to 60% over three years. Savings are calculated based on the number of migrated connections multiplied by annual per-connection cost avoidance.
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The model assumes an average annual savings of $12,000 per migrated connection (equivalent to approximately $1,000 per month).
Risks. Key factors that may influence the magnitude of the realized benefit include:
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Actual benefits depend on migration pace, achievable carrier cost reductions, network growth rates, and execution effectiveness.
Results. To account for these uncertainties, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $1.5 million.
$1.5 million
Total savings over three years by replacing physical connections with Equinix virtual connections
Reduced Network Infrastructure Costs Via Software-Defined Connectivity
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| B1 | Total network connections across the enterprise | Composite | 120 | 140 | 160 | |
| B2 | Percentage of connections built on Equinix Fabric | Interviews | 20% | 40% | 60% | |
| B3 | Connections not existing as physical MPLS connections | B1*B2 | 24 | 56 | 96 | |
| B4 | Average savings per software-defined connection versus physical MPLS | Composite | $12,000 | $12,000 | $12,000 | |
| Bt | Reduced network infrastructure costs via software-defined connectivity | B3*B4 | $288,000 | $672,000 | $1,152,000 | |
| Risk adjustment | ↓10% | |||||
| Btr | Reduced network infrastructure costs via software-defined connectivity (risk-adjusted) | $259,200 | $604,800 | $1,036,800 | ||
| Three-year total: $1,900,800 | Three-year present value: $1,514,434 | |||||
Connectivity Cost Reduction Through Dynamic Bandwidth Scaling
Evidence and data. Interviewees described a common challenge with traditional network procurement models: Bandwidth is typically purchased in fixed increments and sized for peak demand, resulting in significant periods of underutilization. As traffic patterns fluctuate across cloud environments, partners, and enterprise applications, organizations frequently pay for capacity that is not consistently used.
Equinix Fabric enables organizations to provision, increase, decrease, and decommission connectivity through software rather than relying on fixed-capacity circuit purchases. This capability allows network teams to align bandwidth consumption more closely with actual business demand while reducing network spend and avoiding unnecessary long-term commitments to bandwidth capacity that may not ultimately be required. The customer interviews indicated that organizations increasingly view network connectivity as an elastic resource rather than a fixed infrastructure investment.
The financial model assumes that organizations can reduce connectivity costs by dynamically scaling bandwidth requirements over time rather than maintaining excess capacity.
Supporting evidence from the customer research showed that:
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Organizations were increasingly shifting from static network capacity planning toward on-demand connectivity models.
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Software-defined networking enabled bandwidth changes without traditional carrier provisioning cycles.
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Dynamic bandwidth management reduced overprovisioning and improved network cost-efficiency.
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Savings increased over time as more traffic and connectivity services were moved onto software-defined infrastructure.
Modeling and assumptions. Forrester assumes the following about the composite organization:
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The annual volume of enterprisewide physical MPLS connections is consistent with the previous quantified benefit, reflecting the net physical connections as the network expands and virtual connections grow.
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The fully burdened cost of dedicated per-partner infrastructure is estimated to include MPLS/private line circuit, router infrastructure, maintenance/support, and operational overhead.
Risks. Several factors may influence an organization’s ability to realize the modeled benefit:
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Variability in bandwidth utilization patterns. Organizations with highly variable traffic demands are likely to realize greater value from dynamic bandwidth scaling than those with predictable or consistently high utilization levels. Enterprises with stable network requirements may have fewer opportunities to reduce excess capacity.
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Existing carrier and connectivity contracts. Organizations operating under long-term bandwidth commitments or minimum-spend agreements may face constraints that limit their ability to immediately reduce connectivity costs.
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Adoption of software-defined connectivity. The modeled savings assume increasing utilization of Equinix Fabric and dynamic bandwidth management capabilities over time. Organizations that migrate more slowly than expected may realize lower connectivity savings during the analysis period.
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Traffic growth and business expansion. Actual results may vary depending on cloud adoption, application usage patterns, and overall network growth.
Results. To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $1.1 million.
Connectivity Cost Reduction Through Dynamic Bandwidth Scaling
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| C1 | Enterprisewide physical MPLS connections | Composite | 96 | 83 | 63 | |
| C2 | Average cost per MPLS connection | Composite | $20,000 | $20,000 | $20,000 | |
| C3 | Total cost of existing physical MPLS connections | C1*C2 | $1,920,000 | $1,660,000 | $1,260,000 | |
| C4 | Average unused capacity in physical connection provisioning | Interviews | 30% | 30% | 30% | |
| Ct | Connectivity cost reduction through dynamic bandwidth scaling | C3*C4 | $576,000 | $498,000 | $378,000 | |
| Risk adjustment | ↓10% | |||||
| Ctr | Connectivity cost reduction through dynamic bandwidth scaling (risk-adjusted) | $518,400 | $448,200 | $340,200 | ||
| Three-year total: $1,306,800 | Three-year present value: $1,097,283 | |||||
Network Egress Cost Avoidance Through Private Traffic Exchange
Evidence and data. As organizations continue to expand their use of cloud platforms, SaaS applications, partner ecosystems, and AI workloads, interviewees reported that increasing volumes of traffic move between cloud environments, enterprise infrastructure, and external providers. In traditional architectures, much of this traffic traverses public internet paths, often resulting in network transit costs, cloud egress charges, and additional operational overhead.
Interviewees also discussed how private interconnection enables organizations to exchange traffic directly among clouds, partners, and enterprise environments without relying on public internet routing. By moving traffic onto private connections, organizations can reduce exposure to network transit costs while improving predictability, security, and performance. The vice president of core network service at a financial services organization described the value of moving critical traffic away from public internet paths and onto private connectivity, improving predictability, resiliency, and overall network performance.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
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The financial model assumes that, as adoption of Equinix Fabric increases, a growing percentage of enterprise traffic is exchanged through private interconnection rather than public internet transport. This shift creates measurable cost avoidance by reducing network egress expenses associated with traditional traffic-routing approaches.
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The model assumes a gradual increase in private interconnection adoption over the three-year analysis period.
Risks. Several factors may influence the magnitude of realized savings:
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Traffic migration rates. The model assumes that private traffic exchange adoption increases from 20% in Year 1 to 60% in Year 3. Organizations that migrate workloads, applications, or connectivity relationships more slowly may realize lower savings than modeled.
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Cloud and network pricing variability. Actual egress savings depend on cloud provider pricing structures, traffic volumes, geographic deployment models, and existing carrier agreements. Organizations with different pricing arrangements may experience higher or lower levels of cost avoidance.
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Traffic growth assumptions. The opportunity to avoid egress costs is directly related to the volume of traffic flowing among clouds, enterprise environments, and third parties. Lower-than-expected growth in cloud adoption or data movement may reduce realized benefits.
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Application architecture requirements. Not all workloads are suitable for migration to private traffic exchange. Technical, operational, or regulatory requirements may limit the percentage of traffic that can be routed through private interconnection services.
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Ecosystem participation. The value of private traffic exchange increases as more cloud providers, partners, and services become available through direct interconnection. Realized benefits may vary depending on the extent to which an organization’s connectivity ecosystem can leverage private exchanges rather than public internet routing.
Results. To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $174,000.
77%
Reduction in cost for traffic exchanged through Equinix private interconnection versus comparable traffic routed over the public internet
Network Egress Cost Avoidance Through Private Traffic Exchange
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| D1 | Annual network traffic (TB) | Composite | 2,400 | 2,900 | 3,500 | |
| D2 | Traffic cost per GB over public internet | Composite | $0.0850 | $0.0850 | $0.0850 | |
| D3 | Subtotal: Annual traffic cost over public internet | (D1*1,000)*D2 | $204,000 | $246,500 | $297,500 | |
| D4 | Traffic cost per GB over Equinix private internet | Composite | $0.02 | $0.02 | $0.02 | |
| D5 | Annual traffic cost over Equinix private internet | (D1*1,000)*D4 | $48,000 | $58,000 | $70,000 | |
| D6 | Subtotal: Potential cost savings with private internet traffic | D3-D5 | $156,000 | $188,500 | $227,500 | |
| D7 | Percentage of traffic migrated to private internet | Interviews | 20% | 40% | 60% | |
| Dt | Network egress cost avoidance through private traffic exchange | D6*D7 | $31,200 | $75,400 | $136,500 | |
| Risk adjustment | ↓10% | |||||
| Dtr | Network egress cost avoidance through private traffic exchange (risk-adjusted) | $28,080 | $67,860 | $122,850 | ||
| Three-year total: $218,790 | Three-year present value: $173,909 | |||||
Unquantified Benefits
Benefits that provide value for the composite organization but are not quantified for this study include:
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Improved business agility via on-demand provisioning and extensive partner network. Interviewees emphasized that Equinix Networking Solutions increased organizational agility by reducing provisioning timelines from weeks or months to hours or days. Combined with direct access to a broad ecosystem of cloud providers, carriers, partners, and service providers, interviewees’ organizations were able to accelerate cloud initiatives, support new business requirements, and establish connectivity more quickly than traditional carrier-based approaches.
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End-user and/or customer gains with lower latency. Interviewees reported meaningful improvements in network performance by bringing connectivity closer to users, cloud providers, and business ecosystems via the Equinix network of global data centers. Reduced latency improved application responsiveness and customer-facing interactions, particularly for high-volume transaction needs and cloud-based workloads.
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Reduced security, compliance, and governance risk through private connectivity. Interviewees described value from moving traffic away from the public internet and onto private connectivity paths. In addition to performance benefits, private interconnection supports stronger security controls, data governance, and compliance requirements by reducing exposure to public-network risks. Several interviewees viewed these advantages as particularly important for highly regulated industries and mission-critical workloads.
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Reduced business disruption through improved resiliency and failover capabilities. Interviewees reported improved resiliency through redundant connectivity paths, geographically distributed architectures, and simplified failover capabilities. Organizations were able to maintain business operations during infrastructure disruptions and network outages, reducing the potential operational and financial impact of downtime on critical applications, transactions, and customer-facing services.
Flexibility
The value of flexibility is unique to each customer. There are multiple scenarios in which a customer might implement Equinix Networking Solutions and later realize additional uses and business opportunities, including:
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Enables future business opportunities through an extensive partner ecosystem. Interviewees noted that Equinix’s broad ecosystem of cloud providers, carriers, financial institutions, service providers, and business partners provides long-term strategic flexibility. As new business requirements emerge, organizations can more quickly establish connections and avoid lengthy network redesigns or infrastructure investments. Several interviewees described value in maintaining architectural flexibility as technology requirements evolve. Equinix’s broad ecosystem and provider-neutral connectivity approach give organizations the ability to adopt new platforms and services without fundamentally redesigning underlying network architectures.
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Supports expansion into new regions and acquired businesses. Interviewees described Equinix as a foundation for geographic expansion and business growth. The company’s global footprint, private connectivity options, and extensive partner network reduced the complexity of supporting new locations, integrating acquisitions, and addressing regional compliance or data sovereignty requirements.
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Provides a foundation for future AI, distributed infrastructure, and network modernization initiatives. Interviewees emphasized that investing in Equinix Networking Solutions positions their organizations to support future technology initiatives, including AI deployments, distributed infrastructure strategies, SD-WAN transformations, and software-defined networking. Organizations can adopt new cloud providers, AI platforms, partners, and emerging services without fundamentally redesigning connectivity architectures. By providing scalable, virtualized connectivity and access to emerging technology partners, Equinix helps organizations adapt as business and technology requirements evolve.
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Creates flexibility to adopt additional Equinix services over time. Several interviewees described Equinix as a strategic platform that could support future adoption of additional services, including observability, Network Edge, Cloud Router, and other emerging offerings. Because Equinix already serves as a trusted connectivity foundation, organizations can more easily evaluate and deploy new capabilities as requirements change. Interviewees also described value in having a connectivity foundation capable of supporting future Equinix innovations. As Equinix expands toward more managed and intent-based experiences through Fabric One, organizations may have opportunities to further simplify connectivity operations while building on the underlying capabilities evaluated in this study.
Analysis Of Costs
Quantified cost data as applied to the composite
Total Costs
| Ref. | Cost | Initial | Year 1 | Year 2 | Year 3 | Total | Present Value |
|---|---|---|---|---|---|---|---|
| Etr | Equinix network services costs | $0 | $385,000 | $440,000 | $495,000 | $1,320,000 | $1,085,537 |
| Total costs (risk-adjusted) | $0 | $385,000 | $440,000 | $495,000 | $1,320,000 | $1,085,537 |
Equinix Network Services Costs
Evidence and data. Interviewees said that networking and service consumption fees represented the primary investment associated with Equinix Networking Solutions. These fees reflect consumption of Equinix networking capabilities, including Fabric, Fabric Cloud Router, and related connectivity services. Rather than making significant upfront capital expenditures to deploy network connectivity infrastructure, organizations consumed Equinix networking services through a subscription-based operating expense model that scaled with usage.
Interviewees explained that costs increased as their organizations expanded use of Equinix Fabric and related networking services across additional locations, cloud providers, business units, and connectivity workloads. However, they emphasized that the recurring fees were offset by reductions in traditional networking expenses, including physical connectivity costs, MPLS circuits, manual provisioning efforts, and internet egress charges.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
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The composite organization adopts Equinix Networking Solutions as a strategic connectivity platform supporting cloud, partner, and enterprise networking requirements.
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Service consumption expands over the three-year analysis period as additional workloads and network connections are migrated to Equinix services.
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The composite organization incurs annual licensing and networking service costs of $350,000 in Year 1. Usage grows as adoption expands, increasing annual costs to $400,000 in Year 2 and $450,000 in Year 3.
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No significant implementation or deployment costs are incurred in the model because Equinix Networking Solutions are consumed as managed platform services and leverage existing networking resources.
Risks. The impact of this cost may vary by organization depending on the following:
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The scale of networking operations. Organizations with larger global footprints or higher connectivity requirements may consume more Equinix services and incur greater licensing costs.
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The number of cloud, partner, and enterprise connections. Greater adoption of software-defined connectivity may increase service consumption.
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Bandwidth requirements and traffic volumes. Organizations with higher data transfer demands may require additional networking capacity and associated services.
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Expansion rates and deployment scope. Faster adoption across business units, regions, or workloads may accelerate spending relative to the composite organization.
Results. To account for these risks, Forrester adjusted this cost upward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $1.1 million.
Equinix Network Services Licensing Costs
| Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|---|
| E1 | Annual licensing fees | Interviews | $0 | $350,000 | $400,000 | $450,000 |
| Et | Equinix network services licensing costs | E1 | $0 | $350,000 | $400,000 | $450,000 |
| Risk adjustment | ↑10% | |||||
| Etr | Equinix network services licensing costs (risk-adjusted) | $0 | $385,000 | $440,000 | $495,000 | |
| Three-year total: $1,320,000 | Three-year present value: $1,085,537 | |||||
Financial Summary
Consolidated Three-Year, Risk-Adjusted Metrics
Cash Flow Chart (Risk-Adjusted)
Cash Flow Analysis (Risk-Adjusted)
| Initial | Year 1 | Year 2 | Year 3 | Total | Present Value | |
|---|---|---|---|---|---|---|
| Total costs | $0 | ($385,000) | ($440,000) | ($495,000) | ($1,320,000) | ($1,085,537) |
| Total benefits | $0 | $950,580 | $1,265,760 | $1,644,750 | $3,861,090 | $3,145,971 |
| Net benefits | $0 | $565,580 | $825,760 | $1,149,750 | $2,541,090 | $2,060,434 |
| ROI | 190% |
Please Note
The financial results calculated in the Benefits and Costs sections can be used to determine the ROI, NPV, and payback period for the composite organization’s investment. Forrester assumes a yearly discount rate of 10% for this analysis.
These risk-adjusted ROI, NPV, and payback period values are determined by applying risk-adjustment factors to the unadjusted results in each Benefit and Cost section.
The initial investment column contains costs incurred at “time 0” or at the beginning of Year 1 that are not discounted (not applicable for this study as Equinix does not charge upfront fees). All other cash flows are discounted using the discount rate at the end of the year. PV calculations are calculated for each total cost and benefit estimate. NPV calculations in the summary tables are the sum of the initial investment and the discounted cash flows in each year. Sums and present value calculations of the Total Benefits, Total Costs, and Cash Flow tables may not exactly add up, as some rounding may occur.
From the information provided in the interviews, Forrester constructed a Total Economic Impact™ framework for those organizations considering an investment in Equinix Networking Solutions.
The objective of the framework is to identify the cost, benefit, flexibility, and risk factors that affect the investment decision. Forrester took a multistep approach to evaluate the impact that Equinix Networking Solutions can have on an organization.
Due Diligence
Interviewed Equinix stakeholders and Forrester analysts to gather data relative to Equinix Networking Solutions.
Interviews
Interviewed four decision-makers at organizations using Equinix Networking Solutions to obtain data about costs, benefits, and risks.
Composite Organization
Designed a composite organization based on characteristics of the interviewees’ organizations.
Financial Model Framework
Constructed a financial model representative of the interviews using the TEI methodology and risk-adjusted the financial model based on issues and concerns of the interviewees.
Case Study
Employed four fundamental elements of TEI in modeling the investment impact: benefits, costs, flexibility, and risks. Given the increasing sophistication of ROI analyses related to IT investments, Forrester’s TEI methodology provides a complete picture of the total economic impact of purchase decisions. Please see Appendix A for additional information on the TEI methodology.
Total Economic Impact Approach
Benefits
Benefits represent the value the solution delivers to the business. The TEI methodology places equal weight on the measure of benefits and costs, allowing for a full examination of the solution’s effect on the entire organization.
Costs
Costs comprise all expenses necessary to deliver the proposed value, or benefits, of the solution. The methodology captures implementation and ongoing costs associated with the solution.
Flexibility
Flexibility represents the strategic value that can be obtained for some future additional investment building on top of the initial investment already made. The ability to capture that benefit has a PV that can be estimated.
Risks
Risks measure the uncertainty of benefit and cost estimates given: 1) the likelihood that estimates will meet original projections and 2) the likelihood that estimates will be tracked over time. TEI risk factors are based on “triangular distribution.”
Financial Terminology
Present value (PV)
The present or current value of (discounted) cost and benefit estimates given at an interest rate (the discount rate). The PVs of costs and benefits feed into the total NPV of cash flows.
Net present value (NPV)
The present or current value of (discounted) future net cash flows given an interest rate (the discount rate). A positive project NPV normally indicates that the investment should be made unless other projects have higher NPVs.
Return on investment (ROI)
A project’s expected return in percentage terms. ROI is calculated by dividing net benefits (benefits less costs) by costs.
Discount rate
The interest rate used in cash flow analysis to take into account the time value of money. Organizations typically use discount rates between 8% and 16%.
Payback
The breakeven point for an investment. This is the point in time at which net benefits (benefits minus costs) equal initial investment or cost.
Appendix A
Endnotes
1 Source: The State Of Cloud Networking, 2025, Forrester Research, Inc., April 14, 2025; The Top 10 Trends In IT Networking, 2025, Forrester Research, Inc., July 15, 2025; Decode The New Networking Alphabet Soup, Forrester Research, Inc., October 15, 2025; The State Of IT Networks, 2024, Forrester Research, Inc., December 19, 2024; Don’t Let The One-Percenters Drive Your Network Architecture, October 8, 2025.
2 Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists solution providers in communicating their value proposition to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of business and technology initiatives to both senior management and other key stakeholders.
Disclosures
Readers should be aware of the following:
This study is commissioned by Equinix and delivered by Forrester Consulting. It is not meant to be used as a competitive analysis.
Forrester makes no assumptions as to the potential ROI that other organizations will receive. Forrester strongly advises that readers use their own estimates within the framework provided in the study to determine the appropriateness of an investment in Equinix Networking Solutions. For any interactive functionality, the intent is for the questions to solicit inputs specific to a prospect’s business. Forrester believes that this analysis is representative of what companies may achieve with Equinix Networking Solutions based on the inputs provided and any assumptions made. Forrester does not endorse Equinix or its offerings. Although great care has been taken to ensure the accuracy and completeness of this model, Equinix and Forrester Research are unable to accept any legal responsibility for any actions taken on the basis of the information contained herein. The interactive tool is provided ‘AS IS,’ and Forrester and Equinix make no warranties of any kind.
Equinix reviewed and provided feedback to Forrester, but Forrester maintains editorial control over the study and its findings and does not accept changes to the study that contradict Forrester’s findings or obscure the meaning of the study.
Equinix provided the customer names for the interviews but did not participate in the interviews.
Consulting Team:
Rick Nendza
Kris Peterson
Published
September 2026