The cost of software maintenance depends on what the application needs after launch.

There is no single maintenance price that applies to every software project.

A simple business website may require occasional updates and troubleshooting.

A SaaS platform may need continuous monitoring, bug fixing, security updates, cloud management and incident response.

An enterprise application may require dedicated engineers, defined SLAs, integrations, infrastructure support and 24/7 coverage.

The important question is therefore not:

"How much does software maintenance cost?"

It is:

"What level of maintenance and support does this software actually require?"

This is the fourteenth guide in our documentation series covering the full software project lifecycle, and it follows directly from what should be included in a software maintenance and support agreement — that guide defines the terms; this one prices them. The rest of the series: the documentation checklist, technical documentation, the architecture document, the requirement document, the scope document, requirements vs scope vs specifications vs SOW, acceptance criteria, what information a client should provide, questions to ask before hiring a development company, how to compare proposals, the Statement of Work, and the handover document.

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Quick Answer: How Is Software Maintenance Priced?

Software maintenance is commonly priced using one of four models:

Pricing Model	Best Suited For
Fixed Monthly Retainer	Ongoing support and predictable maintenance
Time & Materials	Variable or occasional engineering work
Support-Hour Package	Smaller products with intermittent needs
Hybrid	Ongoing support plus separately priced development

Pricing is influenced by:

• Application complexity
• Number of systems
• Infrastructure
• User volume
• Support hours
• SLA requirements
• Number of integrations
• Security requirements
• Technology stack
• Development team size
• Expected maintenance workload

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1. Fixed Monthly Maintenance Retainer

A monthly retainer provides ongoing support for an agreed recurring fee.

It may include:

• Production monitoring
• Bug fixes
• Technical support
• Security updates
• Dependency updates
• Deployment assistance
• Routine maintenance

For example, a SaaS company may prefer a monthly arrangement because it needs the development team available continuously rather than only when something breaks.

Advantages

• Predictable monthly cost
• Continuous engineering availability
• Easier budgeting
• Faster response to recurring issues

Important question

What exactly is included in the monthly fee?

A "monthly support package" should define capacity, services, response expectations and exclusions.

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2. Time-and-Materials Maintenance

Under this model, the client pays for the actual engineering work performed.

It can work well when support requirements are unpredictable or relatively low.

For example:

• Occasional bug fixes
• Small integration changes
• Dependency upgrades
• One-off production troubleshooting

The client should understand:

• Hourly or daily rate
• Minimum billing unit
• Approval process
• Estimated effort
• Emergency rates, if applicable

The main advantage is that the client pays for actual usage.

The disadvantage is that monthly costs may be less predictable.

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3. Support-Hour Packages

A client can purchase a defined number of maintenance hours.

For example, the package may cover:

• A set number of engineering hours
• Technical support
• Minor fixes
• Maintenance tasks

This can suit applications that do not require a full-time maintenance team.

The agreement should clearly state what happens to unused hours and whether additional hours can be purchased.

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4. Hybrid Maintenance Model

A hybrid approach combines recurring support with separately priced development.

For example:

Monthly support

• Monitoring
• Incident handling
• Bug fixes
• Security updates
• Routine maintenance

Separately estimated

• New features
• Major redesign
• Architecture changes
• New integrations
• Large migrations

For many growing SaaS and enterprise products, this model provides a practical balance between operational continuity and product development.

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What Determines Software Maintenance Cost?

1. Application Complexity

A five-page website and a multi-tenant SaaS platform do not require the same maintenance effort.

A more complex system may have:

• Multiple applications
• APIs
• Background jobs
• Databases
• Integrations
• Authentication systems
• Cloud infrastructure

More moving parts generally mean more maintenance responsibility.

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2. Infrastructure

Cloud infrastructure can significantly affect maintenance requirements.

Consider:

• Number of servers
• Containers
• Databases
• Storage
• CDN
• Networking
• Monitoring
• Backups
• Disaster recovery

A simple application hosted on managed infrastructure may require relatively little infrastructure engineering.

A high-availability enterprise platform can require much more.

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3. Support Hours

Support during normal business hours costs less than guaranteeing 24/7 incident coverage.

A support model may provide:

Business-hours support

or

Extended support

or

24/7 critical-incident support

The more extensive the coverage, the more operational capacity is required.

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4. SLA Requirements

Tighter response targets generally require greater engineering availability.

For example:

Respond to critical incidents within one business day.

requires a very different operating model from:

Respond to critical production incidents within 30 minutes, 24/7.

SLA commitments should therefore be evaluated alongside the maintenance price.

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5. Number of Integrations

Integrations create ongoing maintenance dependencies.

Examples include:

• Payment gateways
• CRM systems
• ERP systems
• Email providers
• SMS platforms
• Authentication providers
• AI services

An application with ten critical integrations may require more maintenance than an otherwise similar application with one or two.

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6. Technology Stack

Some technology stacks are easier to maintain than others.

Maintenance effort may increase when an application uses:

• Outdated frameworks
• Unsupported runtimes
• Legacy libraries
• Custom infrastructure
• Obsolete integrations

A modern application with strong documentation and automated deployment is usually easier to maintain than a system that requires manual procedures and undocumented dependencies.

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7. Code Quality and Documentation

Two applications with the same features can have very different maintenance costs.

Easier to maintain

• Clean architecture
• Automated tests
• Current documentation
• CI/CD
• Monitoring
• Well-managed dependencies

Harder to maintain

• Monolithic legacy code
• Missing documentation
• Manual deployments
• No automated testing
• Outdated dependencies
• Unknown infrastructure ownership

The cost of maintenance often depends as much on the condition of the software as its feature count.

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8. Security Requirements

Applications handling sensitive information may require additional maintenance.

This can include:

• Security patching
• Dependency monitoring
• Vulnerability remediation
• Access reviews
• Logging
• Audit controls
• Security testing

Enterprise, financial, healthcare or highly regulated environments may therefore require more structured support processes than ordinary business applications.

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9. AI Applications Can Have Additional Maintenance Costs

AI applications introduce additional variables.

Maintenance may include:

• Model changes
• Prompt optimization
• Evaluation
• Retrieval tuning
• Knowledge-base updates
• Vector database maintenance
• Guardrail updates
• AI monitoring
• Token and usage optimization

For example, changing an AI model may require testing because output quality, latency and operating cost can change.

AI maintenance should therefore not be treated as identical to ordinary application maintenance.

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Software Maintenance Cost vs Software Development Cost

These are different expenses.

Development

Creates or significantly changes functionality.

Examples:

• New application module
• New mobile app
• New payment workflow
• Major redesign

Maintenance

Keeps existing software working reliably.

Examples:

• Bug fixes
• Security patches
• Dependency updates
• Compatibility changes
• Production troubleshooting

A client should understand both costs before approving the initial software project.

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What Should Be Included in a Maintenance Quote?

A useful maintenance proposal should clearly state:

Scope

What applications and environments are covered?

Services

What activities are included?

Availability

When is support available?

SLA

What response and restoration commitments apply?

Capacity

How much engineering effort is included?

Additional work

What is billed separately?

Infrastructure

Who manages cloud resources and production systems?

Third parties

Who handles integration changes and external service issues?

Exclusions

What is explicitly outside the agreement?

Exit

What happens when the maintenance relationship ends?

A low price without this information is difficult to evaluate. For the full breakdown of every one of these terms, see what should be included in a software maintenance and support agreement.

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Why the Cheapest Maintenance Proposal May Not Be the Cheapest Option

Consider two maintenance proposals.

Provider A

Lower monthly fee but:

• Business-hours support only
• Limited engineering capacity
• No proactive monitoring
• New integrations billed separately
• No defined critical-incident SLA

Provider B

Higher monthly fee but:

• Production monitoring
• Defined critical support
• Security maintenance
• Faster response
• Regular technical reviews
• Clear escalation

Provider A may appear cheaper.

But if a critical production issue takes longer to identify or resolve, the actual business cost can be much higher.

The right comparison is therefore:

Maintenance price + expected operational risk + included capability

not simply:

Monthly price

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A Practical Way to Compare Maintenance Proposals

Score each provider on:

Category	Weight
Scope clarity	15%
Support & SLA	15%
Technical capability	15%
Security	10%
Monitoring & operations	10%
Relevant experience	10%
Included capacity	10%
Commercial transparency	5%
Documentation	5%
Exit and handover	5%

Use the same criteria for every provider.

This makes comparison more objective than choosing the lowest quote. For a deeper look at this kind of weighted comparison, see how to compare software development proposals.

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Warning Signs in a Maintenance Proposal

Be cautious when a provider says:

• "Unlimited support" without defining support
• "All bugs included" without defining a bug
• "24/7 support" without an incident SLA
• "Infrastructure managed" without identifying responsibilities
• "Regular updates" without specifying what updates are included
• "All future changes covered" without a defined scope
• "Support available anytime" without explaining the escalation model

Vague promises can create expensive disagreements later.

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When Should You Choose a Monthly Retainer?

A retainer is generally useful when:

• The application is business-critical
• Production issues need quick attention
• The product changes frequently
• The client wants predictable costs
• Ongoing engineering capacity is required

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When Is Time-and-Materials Better?

Time-and-materials can make sense when:

• The application is relatively stable
• Support needs are infrequent
• There are few production incidents
• The client does not require continuous availability

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When Does a Dedicated Maintenance Team Make Sense?

Larger products may justify a dedicated team.

For example:

Product Manager

Technical Lead

Backend Engineer

Frontend Engineer

QA Engineer

DevOps Engineer

The actual team should depend on workload rather than using a fixed staffing formula.

A dedicated team can be useful when the product is continuously evolving and maintenance is effectively an extension of the product engineering function.

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Software Maintenance Cost Checklist

Before accepting a maintenance proposal, ask:

Scope

• What software is covered?
• Which environments are covered?
• Are mobile apps included?
• Are infrastructure and integrations included?

Support

• What support hours are provided?
• Is emergency support included?
• What are the SLA targets?
• How are incidents classified?

Engineering

• What bug fixes are included?
• What security work is included?
• Are dependency updates included?
• What requires a separate estimate?

Commercials

• What is the monthly or hourly cost?
• What capacity is included?
• What are overage rates?
• Are emergency rates different?

Risk

• Who manages production?
• Who handles third-party changes?
• How are backups handled?
• How is access controlled?

Exit

• Can another team take over?
• Is documentation maintained?
• Are source code and access transferable?

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Ortem Maintenance Cost Framework

At Ortem Technologies, we believe maintenance pricing should be based on operational responsibility, not simply the number of developers assigned.

A practical assessment looks at five factors:

1. System Complexity

How many components, integrations and environments must be maintained?

2. Business Criticality

What is the cost if the application becomes unavailable?

3. Required Availability

Does the client need business-hours support or 24/7 critical response?

4. Engineering Workload

How much routine and reactive engineering is expected?

5. Risk and Technical Debt

How much additional effort is required because of legacy code, weak documentation, outdated dependencies or infrastructure complexity?

This produces a more realistic maintenance model than applying a generic percentage of the original development cost.

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Final Takeaway

There is no universal price for software maintenance.

The right cost depends on:

What the software does

How complex it is

How critical it is

How much infrastructure it uses

How quickly issues must be handled

How many integrations it depends on

How secure it needs to be

How much engineering work it requires

The cheapest maintenance proposal is not automatically the best value.

The better question is:

Does the maintenance plan provide enough technical capability and response coverage to protect the software and the business that depends on it?

At Ortem Technologies, we help businesses evaluate the condition of their existing software, identify ongoing maintenance requirements and choose a support model based on actual operational needs rather than arbitrary pricing formulas.

Need a Maintenance Plan for Your Software?

If you already have a live application and are unsure what level of support you actually need, Ortem Technologies can assess the software, infrastructure, technical debt, integrations and operational requirements.

We can then help define a practical maintenance model covering support, security, monitoring, bug fixing, infrastructure, scalability and ongoing development.

Talk to Ortem Technologies about your software maintenance requirements and get a support approach built around your application's actual needs.

Discuss your software maintenance requirements →