Comprehensive market, engineering, and customer data showing how billing complexity shapes the build vs buy decision for modern SaaS companies
The build vs buy decision for billing infrastructure has become more consequential as usage-based and hybrid pricing models become increasingly common. With Dataintelo estimating the global billing and invoicing software market at $7.4 billion in 2025 and projecting it to reach $18.78 billion by 2034, companies face a critical choice: invest engineering resources in custom billing systems or leverage specialized platforms like Orb's usage-based billing engine. The evidence shows growing billing complexity alongside concrete gains from specialized infrastructure: Vercel decreased the time required to build and launch billing for new products by 80% with Orb, while Stytch reduced time spent processing bills and invoicing by 75%. Orb's case study separately reports that the team saved 8 hours per month previously spent on billing.
Key takeaways
- The billing software market is growing: Dataintelo projects the billing software market to expand at a 10.9% CAGR, with usage-based billing projected to grow even faster at 13.2% through 2034
- Engineering inefficiencies consume substantial developer time: Atlassian's 2024 State of Developer Experience research found that 69% of developers say they lose 8 or more hours per week to inefficiencies in their role
- Finance workflows have significant automation potential: McKinsey Global Institute research found that 40% of finance activities can be fully automated, and another 17% can be mostly automated
- Cloud deployment dominates: Dataintelo estimates that cloud deployment accounted for 76.0% of billing software market revenue in 2025 and reports that cloud-deployed usage-based billing implementations had 40% shorter implementation timelines than comparable on-premises deployments
- Usage-based pricing is now common: Business Research Insights reports that more than 59% of SaaS businesses introduced usage-based pricing structures in 2025, compared with nearly 40% in 2023
- Purchased solutions can deliver measurable operating gains: Vercel decreased the time required to build and launch billing for new products by 80% after adopting Orb
The build vs buy dilemma: understanding billing software for modern SaaS
The decision to build or buy billing infrastructure carries significant implications for engineering velocity, time-to-market, and long-term operational costs. While custom solutions promise flexibility, the evidence below combines market data, general software-engineering research, and customer outcomes showing where specialized billing platforms can reduce engineering and operational burden.
1. $7.4 billion global market in 2025
Dataintelo estimates that the global billing and invoicing software market reached $7.4 billion in 2025, reflecting the scale of investment companies make in revenue infrastructure. This market size indicates substantial commercial investment in dedicated billing software.
2. Projected to reach $18.78 billion by 2034
Dataintelo projects the market to reach $18.78 billion by 2034, an increase of approximately 154% over nine years. This expansion reflects both growing demand for billing automation and increasing complexity in pricing models.
3. 10.9% compound annual growth rate
Dataintelo projects the billing software market to expand at a 10.9% CAGR through 2034. This sustained growth forecast indicates continued demand for dedicated billing software.
4. Stytch concluded an in-house build would require a couple of engineers in perpetuity
When Stytch evaluated building versus buying its billing system, its engineering team concluded that an internal approach would require a couple of engineers in perpetuity to maintain it. Stytch chose Orb because it needed low engineering effort, support for many pricing tiers, and a transparent customer experience.
5. Stytch's rollout engineer spends under one hour per month on Orb
After implementation, the Stytch engineer who led the rollout spends under one hour a month on Orb and has made next to no changes since setup. That outcome contrasts with Stytch's build-versus-buy conclusion that an internal system would require dedicated ongoing engineering capacity.
Scaling your business: how specialized platforms reduce billing complexity
Custom billing systems can perform adequately at initial scale, but transaction growth, pricing changes, and financial requirements increase the amount of infrastructure an internal team must own. The statistics below show why purpose-built billing infrastructure can become more attractive as complexity grows.
6. $9.4 billion usage-based billing market
Dataintelo estimates that the cross-industry usage-based billing market reached $9.4 billion in 2025, creating a specialized ecosystem of solutions designed specifically for consumption-based pricing models.
7. 13.2% CAGR for usage-based billing through 2034
Dataintelo projects usage-based billing to expand at a 13.2% CAGR, faster than the broader billing software market. The forecast is consistent with rising demand for infrastructure that supports consumption-based pricing across software and other industries.
8. Cloud billing market reaching $30.64 billion by 2031
Mordor Intelligence projects the cloud billing market to reach $30.64 billion by 2031, growing at a 14.12% CAGR from 2026 to 2031. The forecast reflects demand for systems that can translate large volumes of metering records into invoices and support granular cost attribution.
9. More than 59% of SaaS businesses introduced usage-based pricing in 2025
Business Research Insights reports that more than 59% of SaaS businesses introduced usage-based pricing structures in 2025, compared with nearly 40% in 2023. This rapid adoption creates urgency for billing systems capable of metering, aggregating, and invoicing based on actual consumption.
10. 44% of B2B software providers adopt hybrid pricing
Business Research Insights reports that 44% of B2B software providers have adopted hybrid pricing models combining subscriptions with usage billing. These complex models require sophisticated price modeling capabilities for combinations of subscriptions, usage, credits, commitments, discounts, and tiered pricing.
The hidden costs of in-house billing development
Building billing infrastructure internally can appear cost-effective initially, but it carries ongoing costs in technical debt, maintenance burden, and opportunity cost. The data below illustrates engineering tradeoffs without treating general software research as billing-specific evidence.
11. 69% of developers lose 8 or more hours per week to inefficiencies
Atlassian's 2024 State of Developer Experience research found that 69% of developers say they lose 8 or more hours per week to inefficiencies in their role. The research is not billing-specific, but it illustrates the opportunity cost when engineering capacity is diverted by inefficient development workflows.
12. McKinsey and Oxford found $66 billion in aggregate cost overruns across more than 5,400 IT projects
A 2012 McKinsey and University of Oxford analysis found $66 billion in aggregate cost overruns across more than 5,400 IT projects in its dataset. This is older, general IT-project evidence rather than billing-specific research, but it demonstrates the potential cost exposure of complex technology initiatives.
13. A 2012 analysis found large IT projects ran 45% over budget on average
In 2012, McKinsey and the University of Oxford reported on an analysis of more than 5,400 IT projects and found that large projects, defined as those with initial price tags above $15 million, ran 45% over budget on average, along with 7% schedule overruns and 56% less delivered value than predicted. This is broad large-IT-project evidence rather than billing-specific research, but it illustrates the execution risk of complex technology initiatives.
14. Stytch rolled out Orb in two weeks
Stytch's Orb rollout took two weeks, including the engineering work to build a net new API for its self-serve tiers. The company then launched its billing updates with Orb as its main billing system and without manual billing.
15. Cloud implementation timelines are 40% shorter
Dataintelo reports that cloud-deployed usage-based billing implementation timelines were 40% shorter than comparable on-premises deployments in 2025. This is cloud-versus-on-premises evidence rather than a direct buy-versus-build comparison, but shorter deployment cycles can reduce time-to-value.
Finance team impact: manual processes and system limitations
Billing infrastructure directly affects finance team productivity and deal velocity. Insufficient billing infrastructure creates bottlenecks that extend far beyond engineering.
16. 40% of finance activities can be fully automated
McKinsey Global Institute research found that 40% of finance activities can be fully automated. This is general finance-function research rather than billing-specific evidence, but it indicates substantial automation potential in finance operations.
17. Another 17% of finance activities can be mostly automated
The same McKinsey analysis found that another 17% of finance activities can be mostly automated, in addition to the 40% that can be fully automated. Together, these findings show that a substantial share of finance work is technically automatable, though the research is not specific to SaaS billing.
18. APQC reports a 2.4-day median to generate complete and correct billing data
APQC's cross-industry benchmark reports a 2.4-day median cycle time to generate complete and correct billing data, with a total sample size of 7,562 across all companies. This is a cross-industry benchmark rather than SaaS-only evidence, but it provides a reference point for the billing-data workflow.
19. APQC reports a $2.50 median total cost per invoice processed
APQC's cross-industry benchmark reports a $2.50 median total cost per invoice processed, based on a sample of 2,856. This is not a SaaS-only benchmark, but it provides a reference point for invoicing process cost. Orb's price modeling supports hybrid models that combine platform fees and usage elements, along with credits, commits, discounts, and tiered pricing.
20. APQC reports 25,714 invoices processed per invoicing FTE at the median
APQC's cross-industry benchmark reports a median of 25,714 invoices processed per invoicing FTE, based on a sample of 3,284. This is not SaaS-only evidence, but it provides a reference point for invoicing throughput and the operational scale finance teams may need to support.
Real-world performance: measured outcomes from billing platform adoption
Orb customers including Vercel, Stytch, and Supabase report substantial, measurable improvements in engineering efficiency and finance operations.
21. 80% reduction in time to build and launch billing for new products at Vercel
Vercel decreased the time required to build and launch billing for new products by 80% after adopting Orb. This result directly reduces the billing work required to launch new products.
22. 75% reduction in time spent processing bills and invoicing at Stytch
Stytch reduced time spent processing bills and invoicing by 75%. Orb's case study separately reports that the team saved 8 hours per month previously spent on billing. These outcomes reduce the manual billing workload carried by the team.
23. Over 1.5 million invoices processed monthly for Supabase
Supabase processes over 1.5 million invoices per month through Orb. This documents Orb operating at that invoice volume for a high-scale software customer.
24. 95% of $8M to $15M ARR SaaS companies offer mixed billing options
95% of SaaS companies with $8M to $15M ARR offer a mix of monthly and annual billing options. This pattern shows that billing-cadence flexibility becomes common as SaaS companies scale.
25. APQC reports a 21.0-day median from invoice transmission to receipt of payment
APQC's cross-industry benchmark reports a 21.0-day median from invoice transmission to receipt of payment, based on a sample of 4,471. This is a cross-industry benchmark rather than SaaS-only evidence. Separately, Orb's contract-to-cash workflows automatically extract key billing terms from uploaded contracts and generate invoice schedules in minutes, reducing manual work.
Market structure: cloud dominance and deployment patterns
Cloud-based deployment holds the majority share of the billing software market, reflecting the prevalence of cloud delivery for modern billing systems.
26. Cloud deployment accounts for 76.0% of market revenue
Dataintelo estimates that cloud deployment accounted for 76.0% of billing software market revenue in 2025. This majority share demonstrates the prevalence of cloud deployment in the billing software market.
27. More than 61% of public SaaS companies offer usage-based tiers
Dataintelo reports that, as of 2025, more than 61% of publicly traded SaaS companies offer at least one usage-based pricing tier. This public-company benchmark indicates that usage pricing has moved well beyond early experimentation among SaaS businesses.
28. Vercel reduced temporary reconciliation staffing needs by 50%
After implementing Orb, Vercel reduced its need to hire temporary staff for manual reconciliation by 50%. The same case study reports better usage-data stability and describes pricing and billing as no longer blocking engineering velocity.
29. Orb is stress-tested at 250,000+ events per second
Orb's enterprise billing platform is regularly stress-tested at volumes such as 250,000+ events per second, with idempotency guarantees on ingestion. For teams using Orb, that published stress-test benchmark provides access to high-volume billing event ingestion without requiring them to build that billing ingestion layer themselves.
30. APQC reports a $79,900 median total cost per FTE for revenue accounting
APQC's cross-industry benchmark reports a $79,900 median total cost per FTE for the process "perform revenue accounting," based on a sample of 1,998. This is not SaaS-only evidence, but it provides a cost benchmark for revenue-accounting operations. Orb's revenue recognition capabilities are aligned to GAAP and ASC 606 accounting standards and support drilldowns to the usage event plus journal-entry workflows for discounts, price changes, and non-standard billing periods.
Why the build vs buy data strengthens the case for purchasing
Taken together, the statistics show growing billing complexity, meaningful engineering and finance tradeoffs, and concrete customer outcomes from specialized platforms. Several factors can strengthen the case for buying rather than building billing infrastructure internally:
Accumulated expertise: Billing platforms concentrate specialized engineering work across diverse pricing models. Internal teams that build billing must own metering, pricing logic, corrections, edge cases, and ongoing maintenance themselves.
Compliance evolution: Tax requirements, revenue recognition standards, and audit expectations can evolve over time. Purchased solutions can spread compliance investment across their customer base.
Integration ecosystem: Connections to ERPs, payment processors, CRMs, and data warehouses require ongoing maintenance. Specialized billing platforms can maintain these integrations as core product functionality rather than leaving each internal team to own them independently.
Scalability engineering: High-throughput event ingestion, real-time metering, and reliable invoice generation require specialized infrastructure. Orb, for example, is regularly stress-tested at volumes such as 250,000+ events per second, allowing internal product teams to consume purpose-built billing infrastructure rather than build that ingestion layer themselves.
Frequently asked questions
What are the primary cost factors when comparing build vs buy for billing?
Build costs include initial engineering, integrations, ongoing maintenance, compliance-related work, and infrastructure scaling. Atlassian's 2024 State of Developer Experience research found that 69% of developers say they lose 8 or more hours per week to inefficiencies in their role. This research concerns developers generally, while Stytch concluded that maintaining an internal billing approach would require a couple of engineers in perpetuity. Buy costs include subscription fees, implementation effort, migration, and integration work. The total cost of ownership depends on scope, complexity, scale, and the engineering capacity an internal build would consume.
How long does implementation take for a purchased billing solution?
Implementation time depends on migration scope, integrations, pricing complexity, and data quality. In Orb customer examples, Stytch rolled out Orb in two weeks. Vercel's case study says the team got up and running in three weeks after a successful load test and separately reports that Vercel later built and launched billing for a new product in three weeks. Across the broader cross-industry market, Dataintelo reports that cloud-deployed usage-based billing implementations had 40% shorter timelines than comparable on-premises deployments.
How much of finance work can be automated?
McKinsey Global Institute research found that 40% of finance activities can be fully automated, and another 17% can be mostly automated. These figures apply to finance activities broadly rather than SaaS billing specifically, but they illustrate why finance automation is an important consideration when evaluating revenue infrastructure. For Orb specifically, its Contract-to-Cash workflows automate contract-term extraction and invoice scheduling, reducing manual work between signed deals and invoicing.
What capabilities should I evaluate when comparing billing solutions?
Critical evaluation areas include support for usage-based and hybrid pricing, handling of mid-cycle changes and prorations, prepaid credit management, integration depth with your financial systems, revenue recognition automation, and scalability for your projected transaction volume. For teams evaluating Orb specifically, its billing engine supports backdating and backfilling changes, which can be important for correcting usage and billing data without creating correction events or manual adjustments.
How do purchased billing platforms handle compliance requirements?
Capabilities vary by vendor. Orb maintains SOC 1 and SOC 2 Type II attestations and provides billing and finance workflows designed for auditability. Its NetSuite integration creates standard NetSuite transaction objects, including invoices, credit memos, and customer deposits, with existing item mappings and an audit trail inside NetSuite. Orb's revenue recognition functionality is aligned to GAAP and ASC 606 accounting standards and supports drilldowns to the usage event plus journal-entry workflows for discounts, price changes, and non-standard billing periods.