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What Does Custom Software Actually Cost in 2026?
BusinessSoftware DevelopmentPricing

What Does Custom Software Actually Cost in 2026?

|8 min read

Real pricing ranges for custom apps and software. No fluff - transparent cost breakdowns and how to budget smartly.


What Does Custom Software Actually Cost in 2026?

Real numbers from someone who builds it


A note on these numbers: I've spent nearly a decade building custom software for US-based businesses - 100+ projects across industries you wouldn't expect: logistics companies, meat processors, real estate firms, auto dealerships, fencing contractors, marketing agencies. The figures in this post come from that work. They assume US-based senior developers, current widely-supported technology (easy to hire for, easy to maintain), and an engaged client with clear decision-making authority. Change any of those variables and the numbers shift.


The Quick Answer (For Skimmers)

If you're here for numbers and don't want the full breakdown, here you go:

Quick Reference: 2026 Pricing Ranges

Industry-standard ranges for custom software development in the US market

Project TypePrice RangeTimeline
Landing Page$3K - $15K2-4 weeks
Business Website$10K - $40K4-8 weeks
Web App (MVP)$25K - $75K2-4 months
Mobile App (Single Platform)$40K - $100K3-5 months
Mobile App (Cross-Platform)$60K - $150K4-6 months
E-commerce Platform$30K - $120K3-6 months
Enterprise Software$150K - $500K+6-12+ months

Note: These ranges assume US-based development. Offshore rates may be 40-70% lower, but factor in communication overhead and quality variance.

What these prices assume:

  • US-based senior developers ($150-250/hr loaded rate — total cost including salary, benefits, tools, and overhead)
  • Current, widely-supported technology (easy to hire for, easy to maintain)
  • Client available for feedback 2-3x per week
  • Scope discipline (changes happen through a defined process)
  • No regulatory compliance beyond standard data protection

Offshore teams, legacy system constraints, or heavy compliance needs shift these ranges significantly.

Still here? Good. Let me explain why that table exists and how to use it.

Why "It Depends" Is Actually True

When developers say "it depends," they're not dodging the question. They're acknowledging that software projects have an iceberg problem.

The Software Iceberg

Why 'simple' projects cost more than expected

What you see (~20%)
User interface design
Core features you requested
The screens you see in demos
~ surface ~
What's underneath (~80%)
Authentication & security
Database design & optimization
API architecture
Error handling & edge cases
Performance optimization
Testing & QA
Deployment infrastructure
Monitoring & logging
Third-party integrations
Data migrations
Documentation
Accessibility compliance

Clients see the tip. Developers see the mass. Good quotes account for both.

That login button you sketched on a napkin? Here's what's underneath:

The "simple login" iceberg: User database with encrypted passwords • Password reset flows • Session management • Brute force protection • Data compliance • OAuth integration

Each "simple" feature carries this submerged mass. Good quotes account for the whole iceberg. Bad quotes only price the tip.

Real Price Ranges by Project Type

Let me break this down by complexity tier, with concrete examples of what fits in each category.

Project Complexity Tiers

How complexity maps to cost and timeline

Simple
$5K - $25K
2-6 weeks
Examples:
Landing pages with forms
Basic informational websites
Simple integrations
Admin dashboards (read-only)
Typical traits:
Single user type
Minimal data persistence
Standard UI patterns
Few external integrations
Medium
$25K - $100K
2-5 months
Examples:
E-commerce stores
Customer portals
Internal business tools
Mobile app MVPs
Typical traits:
Multiple user roles
Database with relationships
Custom business logic
Payment processing
Complex
$100K - $500K+
6-18 months
Examples:
SaaS platforms
Marketplace applications
Enterprise integrations
Real-time collaboration tools
Typical traits:
Multi-tenant architecture
Complex workflows
Third-party ecosystem
Scale requirements

A Few Observations

MVPs aren't cheap. That $25K-$75K range for web app MVPs surprises people. But "minimum viable" still requires authentication, a database, business logic, error handling, deployment, and monitoring. You're building real software, just with a focused feature set.

Mobile multiplies. Adding native mobile typically adds 40-70% to a web-only budget. Cross-platform frameworks (React Native, Flutter) bring that to 25-40%.

Enterprise is a different game. Once you're integrating with existing systems, navigating security reviews, and building for scale, you're in a different pricing universe. These projects also have longer sales cycles and more stakeholders.

What Drives Price Up or Down

Understanding these factors helps you control costs and communicate with developers more effectively.

What Drives Price Up or Down

Factors that significantly impact your final quote

Increases Price
Custom design
Bespoke UI vs. using templates
Real-time features
Live updates, chat, collaboration
Third-party integrations
APIs, payment gateways, CRMs
Compliance requirements
HIPAA, SOC2, PCI-DSS
Scale requirements
High traffic, large data volumes
Legacy system integration
Working with old tech stacks
Native mobile apps
iOS + Android adds significant cost
AI-powered features
LLM inference, embeddings, and fine-tuning add ongoing costs
Decreases Price
Using existing frameworks
React, Next.js, Rails, etc.
Standard authentication
OAuth, social login providers
Cloud-managed services
AWS/GCP managed databases, auth
Clear requirements
Detailed specs reduce iterations
Phased approach
MVP first, then iterate
Flexible timeline
Rush jobs cost more
Design system exists
Reusing established patterns
AI-assisted development
AI tooling accelerates boilerplate, testing, and integration work

Pro tip: The most expensive factor is usually unclear requirements. We've seen vague specs add 40-100% to project cost.

We've seen unclear requirements add 40-100% to project cost. A $75K project with well-defined specs becomes a $120K project with "we'll figure it out as we go."

How AI Changes the Math in 2026

AI is the single biggest shift in software economics since cloud computing. It affects custom software in three distinct ways — and most pricing guides ignore all of them.

How AI Changes Software Economics

Three ways AI reshapes what custom software costs in 2026

AI as Dev Accelerator
Productivity multiplier
1.5-3x on boilerplate, integration, and testing tasks
Tools like Copilot, Cursor, and Claude
Tasks that took 40hrs in 2023 take 15hrs in 2026
Faster delivery, not necessarily cheaper
Senior devs still architect — AI handles the rote work
AI as Feature Cost
New line item: inference costs
Smart search, chatbots, document processing, classification
$500 - $5,000+/mo in LLM costs
Scales non-linearly with usage — the hidden cost nobody writes about
Embeddings, fine-tuning, and RAG
Each adds infrastructure and ongoing API spend
AI as Alternative
Some custom builds are now automations
Workflow tools (n8n, Make, Zapier) + LLMs solve real problems
Example: content categorization
$30K custom build in 2023 → $3K automation setup in 2026
Know when this fits
Best for internal tools, data processing, and simple integrations

We use AI tooling across our development process. This means certain tasks ship faster. But it doesn't mean software is suddenly cheap — the hard problems (architecture, business logic, edge cases) still require senior engineers. AI accelerates the rote work and lets us focus more time on the decisions that matter.

The Costs Nobody Talks About

Plan for 20-30% of development cost annually in ongoing operations. Here's where that goes:

Development cost is the number everyone focuses on. But it's just the beginning.

The Costs Nobody Mentions

Development cost is just the beginning. Budget for these ongoing expenses.

Hosting & Infrastructure
Simple apps: $50-200/mo | Business apps: $200-800/mo | Scale apps: $800-3,000+/mo
$50 - $3,000+/month
Third-party Services
Email, SMS, payment processing fees, APIs
$100 - $1,000+/month
Maintenance & Updates
Security patches, bug fixes, dependency updates
15-25% of initial cost/year
Support & Monitoring
Error tracking, performance monitoring, user support
$200 - $2,000/month
Scaling Costs
As users grow, so do infrastructure needs
Variable with traffic
AI / LLM Services
Inference costs for AI-powered features (if applicable)
$0 - $5,000+/month

Rule of thumb: Budget 20-30% of your development cost annually for maintenance, hosting, and ongoing services.

I've seen projects where the first-year operational costs exceeded the development budget. Don't let that surprise you.

A Quick Reality Check

3-Year Total Cost of Ownership

Development is just the beginning — plan for the full picture

$30K Build
Development$30,000
Year 1 Ops$6K - $10K
Year 2 Ops$5K - $8K
Year 3 Ops$4K - $7K
3-Year TCO$45K - $55K
$75K Build
Development$75,000
Year 1 Ops$15K - $22K
Year 2 Ops$12K - $18K
Year 3 Ops$10K - $15K
3-Year TCO$112K - $130K
$150K Build
Development$150,000
Year 1 Ops$30K - $45K
Year 2 Ops$24K - $36K
Year 3 Ops$20K - $30K
3-Year TCO$224K - $261K

Key insight: A $75K build becomes a $112K-$130K investment over 3 years. Budget for the full lifecycle, not just development.

These are ballpark figures. Complex apps with heavy traffic or strict compliance needs will be higher.

Build vs. Buy: The Real Decision Framework

Here's something most agencies won't tell you: sometimes the right answer is "don't hire us."

Not every problem needs custom software. Part of our job is figuring out which category yours falls into — even if that means pointing you toward an off-the-shelf solution and an $8K integration instead of a $120K build.

Build vs. Buy vs. Low-Code vs. AI: Decision Framework

Four paths to solving your software problem — pick the right one

Build Custom When...
Unique competitive advantage
The software IS your product differentiator
Complex integrations
Need to connect with proprietary systems
Scale requirements
Off-the-shelf won't handle your volume
Regulatory requirements
Need full control for compliance
Long-term cost savings
SaaS fees would exceed build cost over 3-5 years
Buy SaaS When...
Speed to market
Need a solution in weeks, not months
Commodity functionality
Email, CRM, accounting, project management
Limited budget
Can't afford custom development right now
Proven solutions exist
Mature tools with large user bases
Non-core functionality
Don't want to maintain internal tools long-term
Low-Code / No-Code When...
Internal tools & dashboards
Admin panels, reporting, simple workflows
Non-technical team can own it
Business users maintain and iterate without devs
Fast iteration cycle
Retool, Bubble, Webflow for specific use cases
Budget-conscious MVP
Validate ideas before investing in custom code
Ceiling on complexity
Works great until you hit platform limits
AI-Augmented When...
Technical founder + small team
AI tools let small teams punch above their weight
Speed + iteration priority
Ship fast, learn fast, rebuild what matters
MVPs and prototypes
Validate with real software, not mockups
Internal tools & automation
Automate workflows that used to need custom code
Cost-sensitive but capable
Trade dev hours for AI-assisted velocity
The Smart Approach: Mix and Match
Use SaaS for standard functions (auth, payments, email)
Build custom where you differentiate
Use low-code for internal tools your team can own
Leverage AI tooling to accelerate custom development
Connect everything via APIs for best of all worlds

When Custom Makes Sense: A Real Example

A logistics company was paying $4,000/month for a SaaS that handled 70% of their needs. The other 30% required workarounds that cost them 20+ hours per week in manual processes.

Custom solution cost: $85,000 over 4 months. At their fully-loaded labor cost, they recovered the investment in 14 months, then saved $60K+ annually after that.

When Off-the-Shelf Wins

A startup wanted a custom CRM because "Salesforce doesn't fit our process." After discovery, we mapped their actual needs. Turns out HubSpot's free tier covered 90% of it. We helped with the remaining integration work for $8K instead of the $120K custom build they initially requested.

The right answer isn't always the bigger project.

Choosing the Right Partner

The code can be fixed. A bad partner relationship rarely can. We've written a detailed guide on evaluating development partners — including the 7 red flags and 7 green flags we look for. The short version: good partners ask questions before quoting, think beyond launch, and use standard technology you can hire others to maintain.

Getting an Accurate Quote

Start with outcomes ("I need to connect service providers with customers"), not features ("I need user profiles and messaging"). Expect a paid discovery phase ($2K-$10K) that prevents the far more expensive mistake of building the wrong thing. For the full process, including how to compare quotes and choose between fixed-price and time-and-materials, read our guide to getting accurate software quotes.

The Bottom Line

Custom software costs $5K-$500K+ depending on complexity. Most business applications fall in the $25K-$150K range. Budget 20-30% of development cost annually for ongoing operations.

The expensive mistakes aren't in choosing the wrong vendor. They're in:

  • Building before understanding requirements
  • Underestimating ongoing costs
  • Choosing partners based on price alone
  • Not investing in discovery

Good software is expensive. Bad software is more expensive.


Want to Know What Your Project Would Actually Cost?

Here's what a discovery call with us looks like:

  • 30 minutes, no commitment
  • We'll ask about your business problem, not just your feature list
  • You'll leave with a realistic budget range and timeline - even if we're not the right fit
  • If custom software isn't the answer, we'll tell you

No pitch deck. No pressure. Just an honest assessment from someone who's seen a lot of projects.

Get a Realistic Estimate

Tell us what you're trying to solve. We'll tell you what it would take.

Book a 30-Min Discovery Call

Questions about software costs or project planning? Reach out on GitHub or LinkedIn.

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