How We Estimated the Daily Digital Footprint of the Global Coworking Industry

When people talk about coworking, they usually picture desks, meeting rooms, coffee, and community. What they do not always see is the software layer underneath it all: the CRM that handles leads, the billing engine that charges memberships, the booking system that allocates rooms, the access-control platform that unlocks doors, and the automations that move data between apps.

That invisible layer is exactly what we wanted to measure.

The goal of this model was not to claim an official industry total. It was to build a credible, technology-first estimate of how much activity coworking software enables each day, using a small number of market anchors and then extrapolating outward with transparent assumptions.

We started with two market-size anchors: roughly 42,000 coworking spaces worldwide and about 5.5 to 6.0 million users in 2025. Those figures appear in recent industry reporting and roundups that summarize the current state of flexible workspace demand. Allwork.space’s 2025 industry snapshot, for example, describes the global market as having 42,000 spaces worldwide and 5.5 to 6 million users in 2025. The same broad order of magnitude also appears in other 2025–2026 industry summaries. (Allwork.Space)

We also wanted to acknowledge Deskmag’s long-running contribution to coworking research. Deskmag and its Global Coworking Survey / Coworking Trends Survey work publish recurring yearly industry findings and are worth supporting because they give operators a shared evidence base. Their 2025 Coworking Trends Survey article is useful for operator-side context rather than for the global space and user totals above. One practical benchmark from that report: “A typical coworking space offers an average of 90 desks across roughly 1,200 m².” That does not replace our 42,000-space and 5.5M to 6.0M-user anchors, but it helps sanity-check the scale of real locations behind the model. (Deskmag)

From there, we added an operator-side assumption: the average coworking team runs with roughly 6 to 10 staff per space. That was not a published global benchmark we treated as fact; it was an explicit modeling assumption chosen to reflect the reality that many spaces operate with lean front-of-house, sales, community, and operations teams. In other words, this part of the model is not “industry data” in the same sense as the space count or user count. It is a scenario variable.

Using that staffing range, the estimated number of coworking operators worldwide becomes:

42,000 spaces × 6 staff = 252,000 staff 42,000 spaces × 10 staff = 420,000 staff

That gives us two main human populations interacting with coworking software every day: about 5.5 to 6.0 million members and about 252,000 to 420,000 operators.

Why software interactions are the right unit

We chose to model “software interactions” rather than “logins” because coworking operations do not run through a single screen. One person can create multiple software events in a normal day.

A member might use software to enter the building, connect to Wi-Fi, book a room, pay for a meeting room, register a guest, or respond to an event invite. Operators are even more active: they handle leads, update CRM records, create or edit contracts, generate invoices, issue credits, manage bookings, assign access permissions, reply to support requests, and monitor community activity.

This is not guesswork about what coworking software does in general. Major coworking software vendors explicitly position their platforms around exactly these workflows. Spacebring describes coworking software as handling contracts, billing, credits, day passes, bookings, and access control. Nexudus describes automating billing, invoicing, bookings, access control, and workflow automation. Archie describes coworking software as covering bookings, memberships, billing, visitor check-ins, payments, and access control. OfficeRnD and Optix also position coworking platforms around CRM, invoicing, booking, member management, and automation. (spacebring.com)

So the real question became: how many times do those workflows fire in a normal day?

Step 1: Estimating member-side interactions

We modeled a typical coworking member as producing 3 to 6 software interactions per day.

That range is intentionally conservative. On a light day, a member may only use access control, Wi-Fi authentication, and one booking-related or app-related action. On a more active day, the same person might trigger access, Wi-Fi, room booking, event RSVP, community messaging, guest registration, and a payment or invoice check.

Using the industry user count:

5.5 million members × 3 interactions = 16.5 million daily member interactions 6.0 million members × 6 interactions = 36.0 million daily member interactions

That produces a member-side range of 16.5 million to 36.0 million software interactions per day.

Step 2: Estimating operator-side interactions

Staff behavior is much denser because coworking software is not just a member app. It is also the operating system of the business.

We modeled each operator as generating 60 to 120 software interactions per day. That sounds high until you think in SaaS terms rather than “full tasks.” A single lead update can mean opening the CRM, editing a field, changing status, assigning an owner, and triggering a follow-up workflow. One invoice correction can involve billing, ledger, member record, and email actions. A day of front-desk and operations work creates dozens of these micro-actions.

Applying that to the staffing range:

252,000 staff × 60 interactions = 15.12 million daily staff interactions 420,000 staff × 120 interactions = 50.4 million daily staff interactions

That gives us 15.1 million to 50.4 million operator interactions per day.

Step 3: Estimating automations and system-triggered events

This is where the tech framing really matters.

Coworking software does not only respond to humans. It also triggers machine-to-machine events: webhooks, access-control checks, billing retries, reminders, invoice creation, calendar syncs, lead routing, and CRM updates. Modern platforms openly promote this automation layer. OfficeRnD says its Zapier integration connects coworking teams to 1300+ tools and apps for automation. Optix describes Zapier as a way to automate workflows and build an integrated tech ecosystem. Nexudus frames Zapier and APIs as ways to connect coworking apps, automate workflows, and build custom integrations. (OfficeRnD)

We therefore added a third bucket: 100 to 400 automated events per space per day.

That is not meant to imply that every space has a giant automation architecture. It simply reflects the idea that even modest coworking stacks generate recurring machine events all day long: successful payments, failed payments, invoice generation, entitlement updates, guest records, access grants, access logs, notification sends, booking confirmations, reminder emails, and app-to-app syncs.

Applied globally:

42,000 spaces × 100 automated events = 4.2 million daily automation events 42,000 spaces × 400 automated events = 16.8 million daily automation events

That yields 4.2 million to 16.8 million system-triggered events per day.

Step 4: Summing the daily interaction model

At this point, the model becomes straightforward.

Member interactions: 16.5M to 36.0M Operator interactions: 15.1M to 50.4M Automation events: 4.2M to 16.8M

Total:

Low case = 16.5M + 15.1M + 4.2M = 35.8 million daily interactions High case = 36.0M + 50.4M + 16.8M = 103.2 million daily interactions

That is how we arrived at the headline that coworking software likely enables on the order of 36 million to 103 million interactions per day globally.

Another useful way to express the same number is on a per-space basis:

35.8M ÷ 42,000 = about 852 interactions per space per day 103.2M ÷ 42,000 = about 2,457 interactions per space per day

So even a “normal” coworking location can reasonably be thought of as generating something like 850 to 2,450 software events every day.

Step 5: Translating interactions into API calls

A software interaction is not the same thing as an API call. In modern SaaS systems, one visible user action often fans out into several backend calls.

For example, a room booking can hit authentication, availability, inventory, pricing, notifications, and analytics. A payment can touch billing, payment gateway, fraud checks, ledger updates, invoice creation, email delivery, and webhook callbacks. Access control can trigger entitlement verification, device communication, audit logging, and mobile-app confirmation.

To capture that, we used an API-call multiplier rather than pretending every interaction maps one-to-one. In the low case, we used roughly 2.3 API calls per interaction. In the high case, we used about 6.3 API calls per interaction. Those are scenario multipliers, not industry-published benchmarks.

The resulting estimate is:

35.8M × 2.3 = 82.3 million API calls per day 103.2M × 6.3 = 650.2 million API calls per day

Rounded for presentation, that becomes about 83 million to 650 million API calls per day across the industry.

That range may look large, but it is exactly what you would expect once coworking is treated as a multi-system software environment rather than a simple booking app.

Step 6: Estimating payment volume flowing through coworking software

The first draft of this model used a very rough payment range. A better way to frame it is to separate three things:

First, not every coworking user is necessarily paying through the operator’s software every month. Some are employer-sponsored, some are on enterprise contracts, and some may be invoiced differently.

Second, coworking pricing varies substantially by market and membership type. Even so, 2025 pricing references suggest that desk memberships commonly sit around the low hundreds per month rather than single digits. CoworkingCafe’s U.S. pricing references, as summarized in Archie’s 2025 roundup, put desk membership around $225 per month, while other 2025 roundups describe global desk pricing as often clustering around roughly $200 to $225 per month, with wide city-level variation. (Archie)

Third, coworking software often handles more than just base memberships. It can also process meeting rooms, day passes, add-ons, and services.

So instead of multiplying every user by one single monthly membership price, we modeled payment volume like this:

Payment-active share of members: 60% to 90% Global member base: 5.5M to 6.0M Average monthly bill handled through software: $120 to $250

That gives:

Low case: 5.5M × 60% × $120 = $396 million per month High case: 6.0M × 90% × $250 = $1.35 billion per month

Annualized:

Low case = $396M × 12 = $4.75 billion per year High case = $1.35B × 12 = $16.2 billion per year

That produces a defensible platform-handled payment volume range of roughly $4.75 billion to $16.2 billion annually.

It is important to read that correctly. This is not a claim about total coworking market revenue. It is an estimate of the payment volume that software platforms could plausibly process or mediate, given the size of the user base and a reasonable range of active billed usage.

Why this model is useful

The value of this approach is not that it yields one perfect number. It is that it translates coworking from a real-estate story into a software-systems story.

Once you frame the industry this way, the implications become much clearer:

Coworking is not just 42,000 physical locations. It is a global network of member apps, dashboards, payment flows, booking systems, identity checks, community touchpoints, and automations. The software layer is mediating millions of decisions and transactions every single day. The space itself is physical, but the operating model is deeply digital. (spacebring.com)

That is why an interaction-based estimate is more revealing than a simple count of spaces or desks. It shows how much operational load the software stack is absorbing: from sales and CRM to invoicing, access control, and automations.

The final numbers, in one place

Using cited market anchors and transparent scenario assumptions, the model lands here:

Global coworking spaces: ~42,000 (Allwork.Space) Global coworking users in 2025: ~5.5M to 6.0M (Allwork.Space) Assumed average staff per space: 6 to 10 Estimated global operator count: 252,000 to 420,000

Modeled daily software interactions:

Members: 16.5M to 36.0M
Staff: 15.1M to 50.4M
Automations: 4.2M to 16.8M
Total: 35.8M to 103.2M per day

Modeled API calls:

~83M to ~650M per day

Modeled software-mediated payment volume:

~$396M to ~$1.35B per month
~$4.75B to ~$16.2B per year

A clean conclusion you can use in the report

Based on current industry estimates of roughly 42,000 coworking spaces and 5.5 to 6 million users worldwide, the coworking software layer enables tens of millions of daily interactions, supports hundreds of millions of API calls per day, and mediates billions of dollars in annual payment flows. The exact figures depend on operator size, automation maturity, pricing, and member behavior, but the direction is clear: coworking is no longer just a space business. It is an increasingly significant software-and-systems business. (Allwork.Space)