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RPA Pricing: Comparison of Leading RPA Vendors' Fees in 2024

Written by
Cem Dilmegani
Cem Dilmegani
Cem Dilmegani

Cem is the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per Similarweb) including 60% of Fortune 500 every month.

Cem's work focuses on how enterprises can leverage new technologies in AI, automation, cybersecurity(including network security, application security), data collection including web data collection and process intelligence.

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Digital transformation is critical for a modern enterprise. 56% of CEOs say that digital improvements have led to increased revenues. RPA (robotic process automation) is one of the most used technologies to automate business processes.

However, calculating an RPA software’s TCO is complex because there are various factors that affect RPA pricing, such as:

  • Deployment environment (e.g. cloud vs on-premise)
  • Number of bots
  • Type of bots
  • Number of users
  • Frequency of usage

Unfortunately, most RPA vendors, similar to other tech vendors, aren’t transparent about their RPA tools’ pricing after multiple sales calls. And miscalculating the cost can result in an RPA implementation with different or lower ROI than projections.

We gathered all the relevant, public data on vendors’ pricing models to save you time and effort and provide you with estimates of what you should expect to pay. However, note that our data is for basic RPA packages. So it’s less relevant for:

  • Enterprises that can earn significant volume discounts
  • Individual users that can rely on the limited but free community editions.

Note: Vendors are sorted by pricing model complexity, starting from the simplest one. In addition to these market leaders, there are cost-effective RPA companies, such as Python RPA tools.

Pricing for different companies

A table of prices for different sizes of companies having different numbers of bots can make it easier for you to get an idea of the license costs.

VendorIBM RPA1Automation Anywhere2UiPath RPA3Microsoft Power Automation4Appian5
Trial period30-day30-day60-day30-dayYes, but unspecified. Requested from Appian.
Monthly price for 1 developer & 30 users (1 attended + 1 unattended)
$981 $875$420$615***N/A****
Monthly price for 1 developer & 30 users (10 attended + 10 unattended)
Monthly price for 10 developers & 1,000 users (10 attended + 10 unattended)

$2,750 - $19,450 - $75,750*****
Monthly price for 10 developers & 1,000 users (100 attended + 100 unattended)
$48,000$87,500*$42,000*$30,150***$2,750 - $19,450 - $75,750*****

Note: We’ve made the following assumptions for each vendor:

*Buying 10x of the starter package provides 10x developer seats.

**$250 (for developer seat) + 10 (attended bots) x $500 + 10 (unattended bots) x $125

***We assumed that all employees are either users, or their data needs to be accessed by bots. So, everyone needs a license. This means volume is based on the total number of employees, who are developers and end users. Price per user is $15/month for attended RPA, and $150/month to purchase the Power Automate Process package which includes unattended automation1 This creates 2 scenarios:

  • Scenario 1: End-users only use attended RPA
  • Scenario 2: All end users either need to use or their data needs to be processed by unattended RPA bots 

**** Appian’s pricing model has a policy of a minimum of 100 users.

***** Appian’s 3 classes and distribution of users need to be estimated to calculate pricing. In all cases, the number of developer users is provided by our assumptions. For non-developer users, we share 3 cases. These are arbitrary assumptions but we picked them to provide a more realistic case than the other 2 cases which show the extreme points of the pricing landscape:

  • Case 1: All end users use the input-only package 
  • Case 2: 20% of users use the standard package 30% use the infrequent package, and 50% use the input-only package
  • Case 3: All end users use the standard package


The basic package includes: 

IBM is the only RPA vendor on our list with an ROI and cost calculator (Figure 1) that minimizes guesswork and lets users get the most accurate return on their RPA investment. 

Screenshot of IBM's interactive RPA pricing calculator.
Figure 1: IBM’s interactive cost calculator. Source: IBM

Automation Anywhere 

Automation Anywhere’s pricing2 depends on the number of: 

  • Bots 
  • Bot utility (e.g. bot creator and control room) licenses

AA’s basic package for SMEs is the Cloud Starter Pack priced at $750/month. It includes: 

  • 1 bot creator 
  • 1 control room 
  • 1 unattended bot

Each additional unattended bot is $500/month; each attended bot is $125/month. So a company wishing to have 1 of each product is expected to pay $875.

UiPath RPA

UiPath’s pricing depends on the:

  • Number of bots
  • Level of support

UiPath offers two packages3 for SMEs:

  1. Pro package: 25 licenses, 1 attended bot, 1 unattended bot, 1 action center, and 1 orchestrator costing $420/month
  2. Enterprise package: 100 licenses, an undisclosed number of bots, along with Pro’s offerings and more.


Appian’s RPA platform contains: : 

Their RPA packages come in three types and differ on the: 

  • Number of developers
  • Number of end-users 
  • Usage frequency 
  • Usage mode (e.g. only-input-providing users pay less)

Those 3 packages specifically are:  

  1. Standard package: It offers “admin access, development capabilities, and normal day-to-day functions” for $75/user/month
  2. Infrequent package: It costs $9/user/month. This is for users with a maximum of three 24-hour sessions each month
  3. Input-only package: This is for internal/external users “with the ability to submit forms/requests to the application,” for $2/user/month

Microsoft’s Power Automate (PA)

Microsoft PA’s pricing4 depends on: 

  • Number of developers (not only active developer users but also those who interact with the bots) 
  • Number of end-users and users whose data is accessed by the bot 
  • Number of bots (i.e. flows in Microsoft lingo) but this only applied to unattended bots
  • Use of unattended bots
  • Use of modules (e.g. AI Builder)

Figure 25 summarizes the pricing details:

Image shows Microsoft's PA RPA pricing plans.
Figure 2: Microsoft’s RPA pricing models. Source: Microsoft


This exercise is based on vendors’ publicly shared pricing data. Potential sources of errors include changes in vendors’ pricing models or our misunderstanding of vendor pricing. Please highlight such issues in the comments or by reaching out to us.

Note that the pricing we outlined may change significantly with respect to:

  • The number of licenses: We provided only 4 combinations of number of employees and bots. Different combos can lead to drastically different costs
  • Enterprise discounts: For larger purchases or for purchases by large companies, volume discounts could be applied to shared prices
  • The pricing model was chosen by the buyer: For example, a company only looking to leverage unattended bots can use Microsoft’s Power Automate Process pricing model to have their installation priced per unattended bot and get completely different pricing compared to what we outlined above
  • Distribution of attended and unattended bots: We assumed that buyers would buy an equal number of attended and unattended bots. Different distributions of bots would change prices significantly.
  • Operating environment: For example, cloud or on-premise. On-premise bots may be provided at a higher cost

For more on RPA 

If you are interested in learning more about RPA, read: 

For an in-depth look into RPA use cases and best practices, download our RPA whitepaper: 

Get RPA Whitepaper

And if you are looking to adopt an RPA solution, we have a data-driven list of RPA vendors prepared

If you need more information about RPA pricing, please book a call. Happy to answer your questions if you can answer a couple questions about your AIMultiple experience. We are currently offering this service for businesses based in the US or EU.

This article was originally written by former AIMultiple industry analyst Bardia Eshghi and reviewed by Cem Dilmegani.

Access Cem's 2 decades of B2B tech experience as a tech consultant, enterprise leader, startup entrepreneur & industry analyst. Leverage insights informing top Fortune 500 every month.
Cem Dilmegani
Principal Analyst
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Cem Dilmegani
Principal Analyst

Cem is the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per Similarweb) including 60% of Fortune 500 every month.

Cem's work focuses on how enterprises can leverage new technologies in AI, automation, cybersecurity(including network security, application security), data collection including web data collection and process intelligence.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.

Cem's hands-on enterprise software experience contributes to the insights that he generates. He oversees AIMultiple benchmarks in dynamic application security testing (DAST), data loss prevention (DLP), email marketing and web data collection. Other AIMultiple industry analysts and tech team support Cem in designing, running and evaluating benchmarks.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

Sources: Traffic Analytics, Ranking & Audience, Similarweb.
Why Microsoft, IBM, and Google Are Ramping up Efforts on AI Ethics, Business Insider.
Microsoft invests $1 billion in OpenAI to pursue artificial intelligence that’s smarter than we are, Washington Post.
Data management barriers to AI success, Deloitte.
Empowering AI Leadership: AI C-Suite Toolkit, World Economic Forum.
Science, Research and Innovation Performance of the EU, European Commission.
Public-sector digitization: The trillion-dollar challenge, McKinsey & Company.
Hypatos gets $11.8M for a deep learning approach to document processing, TechCrunch.
We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million, Business Insider.

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