Best usage-based billing software for GenAI and LLM apps

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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 $18.9 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%, saving 8 hours per month.
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.
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.
Dataintelo projects the market to reach $18.9 billion by 2034, a 155% increase over nine years. This expansion reflects both growing demand for billing automation and increasing complexity in pricing models.
Dataintelo projects the billing software market to expand at a 10.9% CAGR from 2026 to 2034. This sustained growth forecast indicates continued demand for dedicated billing software.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Stripe's 2018 Developer Coefficient study found an average 41.1-hour developer workweek, including 13.5 hours addressing technical debt and 3.8 hours on bad code. Together, those categories represent about 42% of the average workweek. The research is not billing-specific, but it illustrates the opportunity cost when engineering capacity is consumed by maintenance work.
The same Stripe study estimated nearly $85 billion in annual global opportunity cost from developer time spent specifically on bad code. This is a 2018 estimate about software development generally, not a current estimate of global technical debt, but it demonstrates the economic cost of engineering time consumed by bad code.
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.
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.
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.
Billing infrastructure directly affects finance team productivity and deal velocity. Insufficient billing infrastructure creates bottlenecks that extend far beyond engineering.
A striking 94% of SaaS finance leaders say they sometimes or frequently reject non-standard deals because of gaps in their order-to-cash process. Those gaps can block revenue before a contract is signed when non-standard terms cannot be operationalized across the order-to-cash workflow.
Nearly 97% of SaaS finance leaders report that current technology falls short on complex pricing requirements. That constraint can limit monetization flexibility and the ability to support non-standard commercial terms.
71% of SaaS finance leaders report order-to-cash struggles when scaling usage-based pricing. The transition from simple subscriptions to consumption models raises requirements for metering, aggregation, pricing, invoicing, and reconciliation.
A substantial 82% of SaaS leaders struggle with operational complexity from hybrid revenue models. Combining subscription and usage components creates operational complexity across pricing and billing workflows. Orb's price modeling supports hybrid models that combine platform fees and usage elements, along with credits, commits, discounts, and tiered pricing.
100% of SaaS finance leaders say manual data issues and reconciliation work prevent strategic focus, with 97% saying teams are bogged down by manual tasks. These findings highlight how manual data and reconciliation work can constrain finance teams.
Orb customers including Vercel, Stytch, and Supabase report substantial, measurable improvements in engineering efficiency and finance operations.
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.
Stytch reduced time spent processing bills and invoicing by 75%, saving 8 hours per month. These recovered hours reduce the manual billing workload carried by the team.
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.
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.
80% of SaaS finance leaders say approved non-standard deals lead to more manual work. Orb's contract-to-cash workflows can reduce this manual burden by automating contract extraction, invoice scheduling, and related workflow steps.
Cloud-based deployment holds the majority share of the billing software market, reflecting the prevalence of cloud delivery for modern billing systems.
Dataintelo estimates that cloud deployment accounted for 58.4% of billing software market revenue in 2025. This majority share demonstrates the prevalence of cloud deployment in the billing software market.
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.
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.
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.
82% of SaaS finance leaders report being overworked due to revenue allocation on complex deals. Orb's revenue recognition capabilities support GAAP and ASC 606-aligned reporting, drilldowns to the usage event, and journal-entry workflows for discounts, price changes, and non-standard billing periods.
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.
Build costs include initial engineering, integrations, ongoing maintenance, compliance-related work, and infrastructure scaling. In Stripe's 2018 developer study, technical debt and bad code together consumed about 42% of the average developer workweek across software development 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.
Implementation time depends on migration scope, integrations, pricing complexity, and data quality. In Orb customer examples, Stytch rolled out Orb in two weeks, while Vercel reports that it got up and running 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.
Finance leaders report rejecting non-standard deals because of gaps in the broader order-to-cash process. Such gaps can arise when non-standard commercial terms are difficult to operationalize across pricing, billing, invoicing, and finance systems. Modern billing platforms can reduce this friction by making more pricing and billing terms operationally executable.
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.
Capabilities vary by vendor. Orb maintains SOC 1 and SOC 2 Type II certifications 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 and journal-entry workflows for complex pricing changes.
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