- SaaS Companies
- Industries
- Vertical Industry Software
The Top Vertical Industry Software SaaS Companies
As of Jan 2020, these 69 SaaS companies are the largest in the Vertical Industry Software space. (Click to apply)
This list tracks the largest private B2B Vertical Industry Software SaaS companies by revenue. In total, this list features 69 companies with combined revenues of $1.1B.
These companies have raised a total of $681.1M. Together, these Vertical Industry Software saas companies serve 3M customers and employ over 9K on their teams.
- OneShield Software $1.0M
- KTrack $1.0M
- MotorLot $1.0M
- GLUON $1.0M
- BLUE-Software $1.0M
- Quickorder Aps $4.5M
- Flowhub $4.0M
- Getvenga $3.6M
- Vue $3.6M
- Verdigris $3.1M
- Mfiles $10.0M
- Reveleer $9.5M
- Ycharts $8.4M
- Orbital Insight $7.7M
- Mortgage Coach $7.2M
- Toast|Toast Tab $260.6M
- Signix $132.0M
- Madwire $110.0M
- Servicechannel $60.0M
- Classy $54.0M
- 01
Quickorder Aps
Vertical Industry Software
Tech creating growth for restaurants|We turn visitors into regulars
$5M
$2M
1K
40
2014
Vertical Industry Software
- 02
Flowhub
Vertical Industry Software
Cannabis seed-to-sale management reimagined. Multiple license harvests, mobile tag scanning, prompt customer service - that’s the power of Flowhub.
$4M
$8M
500
40
2015
Vertical Industry Software
- 03
$4M
$3M
2K
21
2011
Vertical Industry Software
- 04
$4M
$29M
35
102
2016
Vertical Industry Software
- 05
Verdigris
Vertical Industry Software
Verdigris is a connected artificial intelligence and IoT platform. It makes buildings smarter, helping them reduce energy consumption and costs. By combining patented sensors, software and AI, Verdigris "learns" the energy patterns of a building and pr...
$3M
$34M
300
44
2011
Vertical Industry Software
- 06
$3M
—
2K
23
2004
Vertical Industry Software
- 08
Switchautomation
Vertical Industry Software
The Switch Platform provides real-time visibility into building performance to help you analyze, automate and control your buildings in real-time.
$2M
$6M
20
54
2012
Vertical Industry Software
- 09
$1M
$4M
200
20
2014
Vertical Industry Software
- 10
Geniebelt
Vertical Industry Software
Simple and affordable construction project management software & mobile phone app. Streamline your construction projects by starting your free trial today.
$1M
$4M
200
139
2013
Vertical Industry Software
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What are the fastest growing companies doing?
83 of the fastest growing companies that also have the most revenue have a clear expansion revenue strategy. On average, sales reps are selling plans where starting contract value is $4,606.
Those same companies employ 1,678 sales reps that carry a quota. The most common compensation plan used by these companies is a 1:5 ratio of sales rep on target earnings (OTE) to quota. Meaning if a rep can earn $200k in base and commissions, quota target for that year is set at 5x, or $1m in new ARR closed.
If you’re going to build a high growth SaaS company, you need to figure out how to scale with quota carrying sales reps.
Which CEO’s are the most efficient capital allocators?
We can measure this a variety of ways. Which company has the most revenue per employee? What about dollars in revenue compared to dollars raised? What about time, which founder went from $0 to $10m the fastest?
Looking deeper at dollars in revenue compared to dollars raised, bootstrappers take the cake because they self fund (denominator zero). When we look at companies that have raised at least $1m, Actito is the clear winner generating $21m in revenue, growing 100% yoy, on just 1m raised ($.05 dollars raised for every $1 of revenue).
Omnisend comes in a close second with $.08 dollars raised for every dollar of revenue. Doing $19m as of December 2020. Proposify gets honorable mention with $0.46 dollars raised (3.25m) for every dollar of revenue ($7m).
The worst performers here are companies like YayPay with $3.68 dollars raised ($14m) per dollar of revenue ($3.8m). Many of the worst performers just did a round of funding and haven’t had a chance to deploy to drive growth yet. That makes this data less valuable but still illustrative.