How Scaling Breaks IT First… Then Security
5,000+ Enterprises of Tomorrow expose the Admin Wall – and the security drag that follows.
The Core Mandate of IT
Every IT organization has a job to do. It doesn’t matter what industry you are in or where you work.
If you zoom out and look at the main purpose of an IT team, its core mandate comes down to three promises:
To Serve
Build a secure, working tech foundation that the business can rely on.
To Support
Enable the workforce (and their devices) to work smoothly and without friction.
To Lead
Drive the business forward through new frontiers. Lower risks and use tech to solve problems.
As businesses grow, keeping these promises gets harder and harder.
Leading the organization forward is arguably the most vital role IT plays. Today, business does not happen without a digital touch. Whether you write software, offer services, or make physical goods, your success relies on the tech IT manages. Without the leadership of IT, a company can quickly fall prey to bad actors, lose its competitive edge, or simply fail to adapt to change.
These risks can threaten the business if left unchecked.
But the mandate to lead is often broken first. Why? Because an organization simply cannot function if the first two promises are not met. If IT cannot maintain a secure operational foundation (Serve) or keep users and devices online and productive (Support), then they cannot lead the organization.
So how do you avoid falling into this trap?
The trick is to know the moments that put your mandate to Lead at risk.
In this report, we use data across our platform to uncover the hidden behaviors, operational thresholds, and strategic realities of IT that put their ability to lead in jeopardy. Our data shows that this failure typically comes when scaling strategies – what it takes to effectively serve and support an organization as it grows – cannot keep up. By looking at how IT teams actually work, we can see exactly when and why scaling fails.
More importantly, we show how to fix it.
To provide a comprehensive view, this report analyzes a snapshot of global product usage from the fourth quarter of 2025. Our methodology encompasses:
A Robust Global Sample: Data extracted from over 5,000 global customers.
Distinct Deployment Scales: We categorized organizations based on the exact number of users they manage. Our analysis covers the Enterprises of Tomorrow, like startups or smaller fast-growth tiers (0–50, 50–100, and 100–200 users), the Commercial tiers (200–1,000 and 1,000–2,000 users), and the Enterprise tier (2,000–5,000 users). We intentionally capped our analysis at organizations managing 5,000 users, as organizations beyond this size exhibit more unique behaviors that skew broader macro trends.
Core IT Pillars: We evaluated these organizations based on their utilization of critical IT management functions. This includes user management, device management, core directory and Identity Provider (IdP) usage, and identity and access management (IAM) functions—specifically focusing on the deployment of multi-factor authentication (MFA), single sign-on (SSO), passwordless authentication, and conditional access policies (CAP).
Across these pillars, we analyzed behavior specifically through the lens of the IT admin. We examined the size of admin teams across varying deployment scales to understand the rates of change and productivity dynamics that occur as organizations attempt to grow.
Before we dive into the numbers, let’s define some key terms.
In smaller teams, or in larger organizations with relatively small IT teams, adding a new admin brings a clear gain. The new hire reduces the shared workload for the rest of the team. We call this impact the Productivity Factor.
As we tracked admin team sizes from a single user all the way up to teams of 30 or more, we uncovered a critical phenomenon. We identified what we call Scaling Inflection Points. These are the exact moments where adding new admins fails to relieve the burden on the existing team. At these points, the Productivity Factor goes flat or turns negative. Instead of moving the business forward, hiring just becomes a reactive way to survive the weight of Service and Support tasks.
When an IT team hits a Scaling Inflection Point without a plan, they fall behind. They get stuck in a cycle of playing catch-up. To keep the organization moving forward, IT leaders must steal time and budget away from their promise to Lead.
Reclaiming the Capacity to Lead
The data and analysis in this report holds insights to help you see these Scaling Inflection Points before they break your team. While the data includes outliers that reflect the highly unique requirements of some businesses, the macro trends remain consistent across the globe.
The future of IT is not something to fear. It is something to build with confidence. The purpose of this report is to empower savvy IT leaders to look at their current deployment. When you anticipate these approaching inflection points, you can implement strategic solutions that do not rely solely on linear headcount growth.
By using unified platforms, automation, and agentic AI, you can automate the heavy lifting of your Serve and Support mandates. In doing so, you reclaim your time, optimize your costs, and secure your environment. This is what allows you to fully deliver on the critical promise of driving your business forward.
Defining the Admin Wall
Deployment Scale:
The True Measure of Complexity
To build a secure and fast IT environment, you must know your team’s real limits. Here, we set the metrics we use to rate IT output. We also look at the critical point where normal hiring fails. By defining how we measure team effort, we can see exactly when adding headcount becomes reactive.
Total company headcount gives an incomplete picture of IT effort.
A simple headcount does not show the true tech demands placed on IT. For example, a small company or startup might run a huge device network. Meanwhile, a large company might have a very simple tech footprint.
To rate IT effort well, we must look at their Deployment Scale. This is the actual number of users managed by IT. Each user brings a mix of devices, identities, and access needs. Because of this, user count is a much better way to measure IT workload.
Throughout this report, we group companies by their deployment scale. This ensures a fair comparison when we look at growth challenges.
The admin is the root of every IT function.
Whether it is one person or a large team, admins do the heavy lifting. They build networks, process requests, and support users. They are the ones who execute the tech strategy of the business. To see how companies scale, we looked at our data based on admin team size.
When support tasks become too much for one person, companies hire a second admin. Then a third, and so on. But our data reveals a surprising truth: admin team sizes do not directly tie to deployment scale.
Companies with small deployment scales can have complex needs. They might need admin teams of 10 to 12 members.
On the flip side, highly optimized commercial companies may manage huge user bases with a lean IT staff.
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We looked at admin teams in structured buckets. But we also drilled down to view team sizes from 1 to 30 individually. This detailed view shows exactly how different IT tasks stress a team as they grow.
A Global Consistency in IT Structure
When we break this data down by region, the IT structures look very similar. Growth challenges are not just local issues. They are systemic to IT work.
Across all regions, the vast majority of IT groups run with small teams of five or fewer admins:
77.12%
EMEA
76.59%
North America
73.90%
APAC
67.88%
LATAM
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When we look at teams of 10 or fewer admins, the global numbers align even more.
93.79%
EMEA
94.32%
North America
91.24%
APAC
91.19%
LATAM
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There is a long-tail distribution of much larger admin teams out there.
Still, these numbers prove that most IT setups run on the backs of small, core groups. When these small teams hit their limits, the business feels the impact right away.
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The Productivity Factor
This brings us to the most vital metric in this report: the Productivity Factor.
The Productivity Factor measures the rate of productivity, or the work reduction each new admin brings to the team. In a healthy, scalable environment, a new admin helps the existing team shoulder less effort. The new hire brings a measurable gain. By tracking this factor, we can see what to expect from a new hire.
More importantly, the Productivity Factor reveals when hiring is no longer the right move.
We have found specific points where the gain from a new admin goes flat or negative. This is the Admin Wall.When an IT team hits the Admin Wall, adding people stops being a solution. It becomes a game of catch-up. For IT leaders tasked with long-term planning and cost optimization, understanding your organization’s Productivity Factor is essential. It is the data point that dictates when you must pivot away from linear headcount growth and instead invest in unified platforms, automated workflows, and streamlined IT processes to truly scale your operations.
User Management and the Productivity Gap
It represents the real human interactions that keep a business running. It ensures your people have the access and tools they need. By looking at the ratio of admin team size to deployment scale, we can see the stress put on IT as user bases grow.
The data reveals a major gap. It shows how startups or smaller fast-growth companies handle growth compared to how commercial companies struggle with it. By looking at these trends, IT leaders can spot exactly when their staffing plans will stop working. They can see when a unified, automated approach becomes a must.
The Myth of the “One-Person IT Shop”
There is a common myth that startups or smaller fast-growth companies run mostly as “one-person IT shops.” The data proves this is false. As user counts grow, even the smallest companies add new IT headcount.
When we look at admin team sizes across the Enterprises of Tomorrow space, we see clear, step-by-step hiring:
91.58%
of lower-tier Enterprises of Tomorrow operate with admin teams of five or fewer.
91.53%
of mid-tier Enterprises of Tomorrow utilize teams ranging from one to eight admins.
91.4%
of upper-tier Enterprises of Tomorrow extend their IT teams to anywhere between one and 10 admins.
In the Enterprises of Tomorrow tier, the link between company scale and IT team size is stable. Each step up in deployment scale brings a gradual increase in admins. The strategy is straightforward: when the workload gets too heavy, hire another person.
For a time, this simple scaling plan works.
The Dynamics of the Productivity Factor in Enterprises of Tomorrow
To understand why this scaling works at first, look at the average users per admin. On smaller scales, adding a new admin clearly distributes the load. It creates real gains. This is the Productivity Factor at work.
For example, in the 0-50 tier:
Each new hire brings extra productivity. This lessens the workload across the team and makes space for strategic work. Our data highlights these early gains:
14.68%
is the average Productivity Factor of each new admin for a lower-tier Enterprise of Tomorrow.
16.59%
is the Productivity Factor for each new admin in a mid-tier Enterprise of Tomorrow.
However, as companies reach the 200-user mark, this momentum stops.
In the upper tier of Enterprises of Tomorrow, the Productivity Factor drops to 11.52%. This decline is the first warning sign of a much larger challenge ahead.
The true breakdown in IT output happens at the Commercial scale. Here, management complexity compounds. The simple strategy of adding more people falls apart.
As we look at commercial groups, we see a much larger spread in admin team sizes. This reflects a chaotic response to fast growth:
- Nine out of ten organizations (91.67%) with a lower-tier Commercial deployment have team sizes ranging from one to 17 admins. While 75% of this group manages to keep their teams at 10 or fewer, a full 25% see their IT teams balloon up to 17 members.
- Only 82% of upper-tier Commercial organizations operate with 30 or fewer admins. This means nearly one in five IT departments at this scale requires a team larger than 30 people to function.
- The number of massive IT teams skyrockets in Enterprise deployments, with 55% of organizations requiring 30 or more admins.
At the commercial and enterprise levels, massive team growth speeds up. This happens due to pressures to hire specialists and manage disconnected IT tools.
The Collapse of the Productivity Factor
The most alarming insight for IT leaders is what happens to the Productivity Factor at the Commercial scale.
In the Enterprises of Tomorrow tiers, user-to-admin ratios flatten out. New admins successfully lower the team workload. But the lower Commercial scale sees user growth that vastly outpaces IT capacity. At this stage, admin teams grow simply because user counts are accelerating too fast.
The data reveals a stark reality: the Productivity Factor plummets for lower-tier Commercial deployments to an average of just 7.27% per new admin. For larger teams struggling within this deployment scale, the rate crashes to a functionally non-existent 3.19%.
At this stage, new admins no longer bring real gains. They are not hired to drive innovation or improve security. They are hired as a reactive fix to keep their heads above water.
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Navigating the Scaling Inflection Point
This drop in the Productivity Factor is the first critical Scaling Inflection Point in our research.
When your team hits this point, the normal scaling plan fails. Every new admin takes on less of the shared workload until the efficiency gains vanish. IT falls into a trap of constant reaction. They must sacrifice their mandate to Lead just to maintain their promise to Support.
For IT leaders, the lesson is clear: you cannot out-hire complexity. Pushing past this point requires a new strategy. You must look toward unified platforms and automated workflows. Consolidating identity, access, and device management reduces the heavy burden of user management.
This is just the start.
We must look beyond the users. We need to examine the tools those users rely on. The next critical area IT must manage—and the main driver behind this productivity drain—is device management.
Device Management and Complexity
For IT leaders, managing users is only half of the Support job.
The most direct link to user management is device management. This is the true start of an operational collapse.
While user-to-admin ratios show the human capacity of a team, device-to-admin ratios reveal infrastructure strain. Our data shows that device complexity is the first domino to fall. Productivity losses here drain IT’s ability to support the business. This ultimately triggers the severe user management Scaling Inflection Points we see at the commercial level.
Device complexity comes from two relentless factors: Volume and Diversity. You must understand how these factors compound to maintain a secure, cost-optimized IT setup.
Device Volume and the Infrastructure Shift
Many assume that larger companies manage far more devices per user. The data tells a different story. Startups or smaller companies actually manage a higher ratio of devices per user. This is because core infrastructure (like servers) makes up a large share of their tech footprint.
As companies scale and move infrastructure to the cloud, this ratio flattens out. Here is how the average devices per user shifts across scales.
We also see a shift in the types of devices managed. In the Enterprises of Tomorrow and lower Commercial tiers, about 95% of managed devices are basic workstations (desktops and laptops). Mobile devices make up roughly 4.5% to 4.8%. But in the upper commercial tier, the share of managed mobile devices jumps to 7.74%.
This reflects a shift toward global growth. It shows a greater reliance on contractors, agencies, and Bring Your Own Device (BYOD) programs. These setups need robust mobile device management (MDM).
The Unrelenting Device Load on Admins
With user management, hiring new admins generally lowered the average users per admin. This held true until the commercial tier.
With devices, this relief never comes.
There is a direct link between admin team size and the average devices each admin manages. As your IT team grows, the number of devices each admin handles actually increases. New admins are hired to handle growing user counts. The business just expects them to absorb the growing device fleet as well.
The reality is that device volume scales faster than headcount. This leaves admins constantly behind.
The Multi-OS Tax: The Cost of Diversity
Volume is tough, but diversity fractures IT productivity. As companies scale, they must support special roles and executive choices. This drives a fast shift away from single-OS setups.
Across our global data, 78.99% of organizations manage Windows devices, 62.82% manage macOS, and 31.87% manage Linux. Some manage one OS, while others manage two or three. OS complexity grows fast as companies scale:
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In the smallest Enterprises of Tomorrow tier (0–50 users), 41% of organizations manage a single OS. By the mid-tier phase, that drops to 16.32%. In the commercial tiers, managing a single OS virtually disappears. Managing Windows, macOS, and Linux concurrently becomes normal much earlier than leaders expect:
Managing three operating systems takes special skills and multiple consoles. It effectively triples the daily effort required by your IT team.
The Device Scaling Inflection Point
This complexity leads to the earliest and most severe Scaling Inflection Point in the IT lifecycle.
We calculate the Productivity Factor for device management just like we do for users. The impact of the multi-OS tax is undeniable. In the mid-tier Enterprises of Tomorrow space, companies see a minor gain of 2.44% per new admin. This happens as they move legacy servers to the cloud.
But as soon as companies cross into the upper Enterprises of Tomorrow tier, managing all three operating systems becomes the norm. At this point, the Productivity Factor plummets to an astounding -19.96%.
At this stage, bringing on a new admin actively hurts overall efficiency. The sheer effort of managing different OS environments across different tools overwhelms the team.
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Strategic Takeaway: Consolidate to Scale
Device management complexity is the true start of IT burnout. The negative productivity tax from mixed-OS setups drains the bandwidth your team needs to support users.
You cannot fix a multi-OS problem by hiring more admins to run siloed tools. To push past this Scaling Inflection Point, IT leaders must invest in unified endpoint management. You must secure and manage Windows, macOS, and Linux devices from a single console. By consolidating your tech stack, you eliminate the multi-OS tax. You reduce costs and free your team to focus on security.
Speaking of security, device and user support is only one side of the coin. To fully understand what pulls IT away from its promise to Lead, we must look at the effort required to Serve. We must look at Identity and Access Management.
Identity and Access Management (and The Early Foundation)
Before IT can fully support users and devices, it must execute its critical mandate: to Serve the company by building a secure foundation.
You cannot let a hybrid workforce move fast if the network they use is not secure.
This foundation relies on a strong Identity and Access Management (IAM) strategy. IAM is a series of vital workflows that sets your baseline security. We looked at four critical access programs that mark IT maturity:
Multi-Factor Authentication (MFA), Single SIgn-On (SSO), Passwordless authentication, and Conditional Access Policies (CAP).
These security layers are non-negotiable and companies must figure them out early. The huge effort to manage IAM drains admin productivity long before devices or users break the system.
MFA is the core of a Zero Trust security setup.
Even in the smallest scales, a majority of companies enroll at least some users into a central MFA program. This jumps to 90%+ starting in the mid-tier Enterprises of Tomorrow space and hits 100% in the upper commercial tier.
MFA has become one of the most reliable security measures for modern IT. It protects vital resources from bad actors at the identity perimeter, so it gets adopted very early.
However, the data reveals two very different ways to roll it out:
34.97%
The average number of organizations that enforce MFA for 25% or less of their users.
45.17%
The average number of organizations that enforce MFA for 75% or more of their users.
This divide shows that leaders make distinct choices. Some companies mandate MFA for everyone to lock down the network. Others apply MFA just to critical apps to save admin effort. Less sensitive apps are left to the users.
Regardless of the plan, managing MFA is the first major tax on IT’s ability to serve the business.
SSO solves password sprawl while improving security. However, it’s complex. It requires apps to support specific protocols. Many SaaS vendors charge a premium—often called the “SSO tax”—for access to these features.
Due to cost and complexity, SSO usage scales directly with company size and budget.
As companies mature and SaaS fleets grow, SSO becomes a necessity:
28.57%
The amount of lower-tier Enterprises of Tomorrow organizations that implement SSO.
48.41%
The amount of mid-tier Enterprises of Tomorrow organizations that implement SSO.
70.93%
The amount of lower-tier Commercial organizations that implement SSO.
76.92%
The amount of upper-tier Commercial organizations that implement SSO.
Passwords are a basic flaw.
Passwordless methods remove the need for users to type passwords. They rely on secure, device-based, or biometric trust instead. Because passwordless requires tight integration of devices, MFA, and SSO, it demands a more mature IT setup.
Passwordless is a big step forward in security and user ease. Still, it takes a lot of technical bandwidth to deploy.
As a result, passwordless adoption is lower overall. But it correlates heavily with admin team size:
9.63%
The amount of organizations that use passwordless authentication whose admin team sizes range from 1-3.
22.66%
The amount of organizations that use passwordless authentication whose admin team sizes range from 4-8.
33.49%
The amount of organizations that use passwordless authentication whose admin team sizes range from 9-15.
43.38%
The amount of organizations that use passwordless authentication whose admin team sizes range from 16-25.
Conditional Access Policies act as the final layer of defense.
If a bad actor bypasses other controls, CAP looks at external factors. It checks location, network, or device posture to block access.
This requires the highest degree of complexity. It relies on deep integration between identity, access, and device data. As expected, adoption here is the lowest, but it scales fast as companies grow. Roughly half of the upper commercial groups using CAP apply it to just 1–25% of their users. They focus this powerful tool on high-risk accounts.
Even within companies that use CAP, the roll-out is very targeted.
9.63%
The amount of organizations that use passwordless authentication whose admin team sizes range from 1-3.
22.66%
The amount of organizations that use passwordless authentication whose admin team sizes range from 4-8.
33.49%
The amount of organizations that use passwordless authentication whose admin team sizes range from 9-15.
43.38%
The amount of organizations that use passwordless authentication whose admin team sizes range from 16-25.
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The Hidden Tax on IT Leadership
Access management is a compounding series of complex tasks.
To secure the business, IT teams must deploy these layers early. This essential work puts a massive draw on IT output. It pulls resources away from strategic efforts.
You cannot ignore security, but you can change how you manage it. By unifying identity, access, and device management into one platform, IT leaders can automate IAM. This reduces IT tool costs and improves compliance readiness. It reclaims the time your team needs to stop reacting and start leading.
Collaboration, Identity Providers, and The Very First Step
The most critical choice an IT leader makes is how to set up identity.
And this question must be answered very early.
Your Identity Provider (IdP) serves as the bedrock of your IT setup. It dictates your security posture, shapes your workflows, and ultimately determines how efficiently you can scale. While choices around device management or access protocols often evolve based on shifting needs, the selection of an IdP is uniquely foundational.
Before we get too far though, let’s settle on some key terms. We are speaking about IdPs, but in reality most IT leaders are not seeking this out on its own. Your IdP is almost always embedded within your collaboration suite of choice. We say Entra here, but you could just as well say Microsoft 365. We aren’t discussion the productivity arm of these platforms in this report, but it’s helpful to recognize that these two technologies are intertwined.
Here’s what the data shows: this single choice sets the stage for every Scaling Inflection Point your team will face as you grow. When we look at how companies choose core directories, three takeaways emerge:
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Complexity begins at the foundation. The initial IdP choice can weave complexity into the business. It sets the stage for potential bottlenecks across all IT functions if not fully integrated.
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The “Dual-IdP” reality spikes early. As companies enter the mid-tier Enterprises of Tomorrow scale, we see a massive surge in dual setups. Running Microsoft Entra and Google Workspace at the same time complicates access management.
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Service decisions dictate leadership capacity. Choosing an IdP is about how you Serve the business. But the resulting workload directly impacts your capacity to Lead future tech plans.
The Inherent Bias in IdP Selection
Unlike other tech choices, the choice of an IdP is heavily biased. It ties deeply to the company’s core productivity suite of Microsoft or Google.
For IT leaders, this choice is often driven by past habits or existing vendor ties. Leaders who want modern, cloud-first setups often lean toward Google Workspace and platforms like JumpCloud. Both represent a distinct break from legacy on-premises servers. (This alignment is exactly why Google picked JumpCloud for its Work Transformation Set).
Because this choice is so deeply embedded in daily tools, it becomes incredibly hard to undo later.
The Rise of the Dual-IdP Environment
When companies start, they tend to favor a single, simple directory. However, as they scale, the data reveals a rapid split of that simplicity.
We track four distinct IdP strategies: Microsoft Entra only, Google Workspace only, a third-party IdP (like JumpCloud), or managing both Entra and Google.
The data shows an aggressive trend toward dual-IdP setups as companies grow:
Lower-Tier Enterprises of Tomorrow
Simplicity leads. 41.13% of organizations rely on JumpCloud or another third-party IdP, 33.68% use Google Workspace exclusively, and 16.39% use Microsoft Entra exclusively. Only 8.81% manage both.
Mid-Tier Enterprises of Tomorrow
Complexity accelerates. The percentage of organizations managing both Entra and Google nearly triples to 23.15%. Meanwhile, exclusive Google usage grows to 40.48%, while exclusive Entra drops to 14.81%.
Lower-Tier Commercial
The dual-IdP approach becomes the majority. 36.88% of organizations manage both directories, narrowly edging out exclusive Google usage (35.14%).
Upper-Tier Commercial
The environment fully fractures. A staggering 58.97% of organizations at this scale operate both Microsoft Entra and Google Workspace simultaneously.
The Cost of Embedded Complexity
Why do so many commercial groups run two massive, competing identity providers?
The reasons rarely link to technical efficiency. Often, a dual-IdP setup comes from mergers, special department requests, or executive orders. Running both systems gives some political flexibility. However, it embeds deep, long-term complexity into the IT network.
For the IT admin team, managing both Entra and Google means duplicating security rules. It means dealing with split directories and constantly checking access controls.
When we look at admin team sizes, we see an exponential link to dual-IdP setups. As teams grow larger to support more users, they are forced to manage both systems. This multiplies the effort required to serve the business.
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Strategic Takeaway: Unify to Optimize
This deep complexity is the ultimate multiplier for the Scaling Inflection Points discussed earlier. When your core directory is split, every other IT task becomes harder. Deploying SSO or securing hybrid devices gets exponentially more expensive.
You cannot successfully optimize costs or implement Zero Trust if your identity data sits in silos.
For IT leaders focused on risk and efficiency, the path forward requires consolidation. By using a unified IT platform, you can bridge these setups. You can centralize identity, simplify access rules, and drastically reduce redundant tool costs. Streamlining your core directory removes the drag of dual-IdP environments. It frees your team to focus on strategic outcomes rather than untangling complexity.
Reclaiming the Promise of Leadership
The modern IT organization is built on three core promises:
To Serve the business by building a secure, working foundation.
To Support the workforce and their devices.
To Lead the business into the future through tech innovation.
Nothing happens in a modern business without technology. Balancing these three promises is a constant battle. As our global data shows, the daily tasks of serving infrastructure and supporting users eat up the bandwidth needed to lead.
Through our review of thousands of IT environments, we have found exactly where this breakdown happens. The Scaling Inflection Points that stall productivity do not happen in isolation. They are a cascading series of complex problems that hit much earlier than most leaders realize.
The Cascading Impact of IT Complexity
When a company scales simply by adding more headcount, the productivity gains brought by new admins eventually vanish. This forces IT teams into a reactive stance. They constantly play catch-up instead of driving strategic plans.
The data highlights a clear timeline of these critical operational bottlenecks:
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The Identity and Access Tax
(Lower to Mid-Tier Enterprises of Tomorrow)The friction begins much earlier than anticipated. Early decisions around core directories—like adopting dual-IdP setups—introduce massive complexity. Deploying essential security layers like MFA and Conditional Access Policies adds to this.
This unseen burden drains IT productivity from the start, setting the stage for future bottlenecks.
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The Device Management Precursor
(Upper-Tier Enterprises of Tomorrow)Before user counts overwhelm an IT team, device complexity breaks their operational speed. In the upper Enterprises of Tomorrow space, managing mixed-OS environments (Windows, macOS, Linux) outpaces linear hiring.
This device management tax pulls critical effort away from end-user support.
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The User Management Breaking Point
(Lower-Tier Commercial)The final collapse of the traditional scaling model happens in the commercial tier (200 to 1,000 users). User bases grow faster than IT can support them. The Productivity Factor of new admins falls precipitously.
The team gets entirely consumed by the tactical demands of onboarding, offboarding, and troubleshooting.
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Pushing the Admin Wall into the Future
The purpose of this report is not to highlight the doom from different inflection points. It is to provide a roadmap for overcoming them. The future of IT is not something to fear—it is something to build with confidence.
We are entering a new era of IT management. Today, advanced workflows, unified cloud platforms, and Agentic AI are proven solutions. Recent data shows that groups using AI agents and automated workflows see massive productivity gains. This fundamentally alters how IT operates.
By consolidating identity, access, and device management into a single platform, you eliminate compounding complexity. You can automate the repetitive tasks of service and support. You reduce redundant IT tool expenses and secure your hybrid workforce seamlessly.
Whether you are a CIO mapping a five-year vision or an IT Director managing a growing team, your goal is the same. You must create the space necessary to lead. By modernizing your tech stack and using automation, you can push these Scaling Inflection Points far into the future. It is time to reclaim your time, optimize your operations, and fulfill the promise of driving your organization forward.
Agentic IAM: The Next Stage of IT
JumpCloud transforms agentic IAM into your competitive edge. By automating policy-driven workflows and human-in-the-loop checkpoints, you can turn AI complexity into a safe value accelerator.
Learn More