Meet MarsDevs at Gitex AI Asia 2026 · Marina Bay Sands, Singapore · 9 to 10 April 2026 · Booth HC-Q035
Meet MarsDevs at Gitex AI Asia 2026 · Marina Bay Sands, Singapore · 9 to 10 April 2026 · Booth HC-Q035
TL;DR: The build vs buy software decision has flipped. AI-assisted development cut custom build timelines by 30 to 50%, while SaaS pricing rose 11.4% on average in 2025. Retool's 2026 report shows 35% of enterprises have already replaced at least one SaaS tool with a custom build, and 78% plan to build more. The right answer depends on seven factors: competitive differentiation, total cost of ownership (TCO) over 3+ years, integration complexity, time to market, data control, team capacity, and long-term maintenance burden. This framework helps you decide.
Five years ago, the default answer was "buy." SaaS (Software as a Service) products covered 90% of business needs, costs were predictable, and building custom software meant hiring a team for 12+ months.
That calculus has broken.
SaaS pricing jumped an average of 11.4% in 2025, with some vendors raising fees by over 300% after acquisitions (Retool 2026 Build vs. Buy Report). API overages, storage surcharges, and forced tier upgrades now eat into budgets that looked stable on paper. At the same time, AI-assisted development tools have compressed custom build timelines from months to weeks.
The build vs buy software question is no longer "can we afford to build?" For many companies, the real question is: "can we afford to keep buying?"
MarsDevs is a product engineering company that builds custom software, SaaS platforms, and AI-powered applications for startup founders. Founded in 2019, MarsDevs has shipped 80+ products across 12 countries for startups and scale-ups. We've sat on both sides of this decision with our clients. This guide gives you a structured framework to make the right call for your specific situation.
Retool surveyed 817 builders and enterprise customers in late 2025. The findings are striking:
Three forces are driving this shift.
The average enterprise runs 130+ SaaS applications. Each one charges per seat, per feature tier, per API call. What started as $50/month tools now cost $500/month after three years of price increases and forced upgrades.
Multiply that across dozens of tools. You're looking at six- or seven-figure annual SaaS spend that grows every year whether your business does or not.
NPI research shows enterprises carry 10% to 25% in "toxic SaaS spend": licenses assigned but never used, or expensive tiers purchased when lighter versions would work. SaaS fatigue is a measurable financial drain, not just an annoyance.
Custom software that took 6 to 12 months to build in 2023 now takes 6 to 12 weeks with AI-assisted development. AI-assisted development is the practice of using AI coding tools (like GitHub Copilot, Cursor, or Claude) to accelerate software writing, testing, and documentation. Forrester reports a 32% average reduction in total development costs with AI, plus a 42% decrease in bug-fix expenses post-deployment. Developers using AI coding tools save 30 to 60% of time on coding, test generation, and documentation tasks.
The "time to market" advantage that SaaS once held? It's mostly gone. When you can ship a custom tool in weeks, the speed argument for buying off-the-shelf software loses its teeth.
Vendor lock-in occurs when switching costs become so high that leaving a software vendor is impractical. Flexera's State of the Cloud Report found that 47% of enterprises cite data migration as a significant barrier to switching providers. IDC research shows enterprises with 10+ integrations into a single vendor have 40% lower churn rates. Not because they're happy, but because switching costs are too high.
In a market where AI capabilities change monthly, being locked into the wrong vendor's ecosystem is not just a budget problem. It's a competitive disadvantage.
The sticker price of SaaS looks cheaper than custom development. That's by design. Here's what the full picture looks like over a 3-year period.
Total cost of ownership (TCO) is a financial estimate that calculates the direct and indirect costs of a software product over its entire lifecycle. For build vs buy decisions, always measure TCO over a minimum of 3 years.
| Cost Category | Buy (SaaS) | Build (Custom) |
|---|---|---|
| Year 1 cost | $30,000 to $120,000 (licenses + onboarding) | $50,000 to $250,000 (development) |
| Year 2 cost | $35,000 to $140,000 (price increases + add-ons) | $10,000 to $40,000 (maintenance + hosting) |
| Year 3 cost | $40,000 to $160,000 (further increases + forced upgrades) | $10,000 to $40,000 (maintenance + hosting) |
| 3-year total | $105,000 to $420,000 | $70,000 to $330,000 |
| Customization | Limited to vendor's roadmap | Unlimited |
| Data ownership | Vendor-controlled | 100% yours |
| Switching cost | High (data migration, retraining) | Low (you own the code) |
The initial build cost is always higher. But SaaS costs compound. Custom software costs stabilize. Over 3 years, custom builds often cost less while giving you full control over your data, roadmap, and integrations.
On the SaaS side:
On the custom build side:
Here's the cost nobody budgets for: opportunity cost. If your SaaS tool can't support a workflow your competitors built custom, you lose deals. If your custom build takes 6 months instead of 6 weeks, you miss your market window. We've seen both happen. The second one stings more because you had control and still missed.
For a detailed breakdown of custom software costs, see our guide to SaaS development costs.
Stop debating in the abstract. Run your situation through these seven questions. If you answer "build" on 4 or more, build. If you answer "buy" on 4 or more, buy. If it's a split, consider the hybrid approach (covered below).
Build if the software directly creates competitive advantage. Your recommendation engine, your proprietary workflow, your unique data pipeline.
Buy if it's a commodity function that every business needs but none compete on. Payroll, email marketing, basic CRM, accounting.
This is the single most important question. The best organizations in 2026 build where they compete and buy where they operate.
Build if the SaaS option costs more than custom development over 3 years, especially when you factor in per-seat pricing at your growth rate.
Buy if the SaaS tool costs less than 30% of what a custom build would cost over the same period.
Run the numbers with your actual headcount projections. A $50/seat/month tool at 10 users costs $6,000/year. At 200 users, it costs $120,000/year. Custom software costs the same whether you have 10 users or 10,000.
Build if you need deep, bidirectional integrations with internal systems, proprietary databases, or workflows that SaaS tools don't natively support.
Buy if standard integrations (Slack, Salesforce, Google Workspace) cover your needs and the vendor offers a solid API.
Integration complexity is where SaaS costs spiral. Every custom integration you bolt onto a SaaS tool adds maintenance burden and fragility. We've watched clients spend more on Zapier workarounds than it would have cost to build the whole tool custom.
Build if you have 6 to 12 weeks and the product is core to your business. AI-assisted development has made this timeline realistic for most tools. MarsDevs ships custom MVPs in 6 to 8 weeks with senior engineers.
Buy if you need something working this week and a SaaS product covers 80%+ of your requirements.
Here's the nuance most founders miss: buying is faster on day one, but slower on day 365. Customizing a SaaS tool to fit your needs often takes longer than building exactly what you need from scratch.
Build if you handle financial transactions, health records, personal data subject to GDPR (General Data Protection Regulation) or HIPAA (Health Insurance Portability and Accountability Act), or proprietary business intelligence you can't risk exposing to a third-party vendor.
Buy if the data flowing through the tool is non-sensitive and the vendor has SOC 2 / ISO 27001 certification.
Data control is non-negotiable in regulated industries. When you build custom, you control where data lives, who accesses it, and how it's encrypted. No third-party compliance risk. No surprises during audits.
Build if you have an internal engineering team or a trusted development partner. You don't need a full-time team. Staff augmentation is an outsourcing strategy where external engineering talent is embedded into your existing team to fill skill gaps or increase capacity. A partner like MarsDevs provides senior engineers who build your product and hand over 100% code ownership.
Buy if you have zero technical capacity and no budget to engage a development partner.
The "we don't have engineers" objection is weaker than ever. If you're a non-technical founder who's struggled to evaluate dev talent or been burned by an agency that missed every deadline, staff augmentation and product engineering partners fill this gap without the cost and 6-month delay of full-time hiring.
Build if you can commit to ongoing maintenance (either in-house or through a development partner). Plan for 15 to 20% of initial build cost per year.
Buy if you want zero maintenance responsibility and you're willing to accept the vendor's update schedule, even when it breaks your workflows.
Build when the software is your business or creates measurable competitive advantage. Here are five clear "build" signals.
You've outgrown your SaaS tool. The workarounds are piling up. You're paying for an enterprise tier to access one feature. Your team spends more time fighting the tool than using it.
Your workflow is unique. No off-the-shelf product matches your process. You've tried three SaaS tools in two years and customized each one beyond recognition.
Data sovereignty matters. You operate in healthcare, fintech, or defense. Third-party data processing creates compliance risk you can't accept.
Per-seat pricing is killing your margins. Your tool costs $100/seat/month. You're scaling from 50 to 500 employees. That's $50,000/month versus a custom build that costs a flat $3,000/month to host.
You need speed after the initial build. Once built, custom software evolves on your schedule. No waiting for vendor roadmaps. No feature request tickets sitting in a backlog for 18 months.
We built a custom internal operations platform for a logistics startup that had outgrown three project management tools in two years. The build took 8 weeks. It handled their specific dispatch workflow, driver tracking, and client invoicing in one interface. Their operational efficiency improved 40% in the first quarter. That's the kind of outcome you won't get from Asana or Monday.com, no matter how many integrations you add.
Planning to build? Here's how to build a SaaS product from scratch.
Buying is not a compromise. For commodity functions, it's the smart choice. Here are five clear "buy" signals.
The problem is well-solved. Accounting, email, CRM, project management, communication. Thousands of companies have identical needs. SaaS vendors have spent millions refining these tools.
You need it yesterday. If time to market is measured in days, not weeks, buy. You can always build a replacement later when you have clarity on your exact needs.
The SaaS tool is genuinely better than what you could build. Stripe for payments. Twilio for communications. Datadog for monitoring. Some vendors have invested hundreds of millions into products you can't replicate with a small team.
Your needs are standard. If the default configuration covers 90%+ of your requirements, customization isn't worth the build cost.
Your team can't maintain custom software. No engineering capacity and no budget for a development partner? A SaaS tool with vendor-managed updates is the responsible choice.
| Signal | Build | Buy |
|---|---|---|
| Core differentiator | Yes | No |
| 3-year TCO favors | Custom often wins at scale | SaaS wins at small scale |
| Integration needs | Complex, custom | Standard APIs |
| Data sensitivity | High (regulated) | Low to moderate |
| Engineering capacity | Available (in-house or partner) | None |
| Time pressure | 6 to 12 weeks acceptable | Need it this week |
| Maintenance commitment | Can sustain 15 to 20% annually | Prefer zero maintenance |
Here's the thing: the sharpest teams in 2026 aren't choosing strictly between build and buy. They're doing both.
The hybrid approach means you buy SaaS for commodity functions and build custom software for your competitive differentiators. Then you connect them through APIs and middleware. This is the dominant strategy for forward-thinking engineering teams in 2026.
A fintech startup we worked with started with a bought CRM and off-the-shelf analytics. Within 12 months, their compliance requirements and custom reporting needs outgrew both tools. We built a custom compliance dashboard and analytics engine that integrated with their existing Stripe and banking APIs. The transition took 10 weeks. They kept the commodity tools (Stripe, Slack, Google Workspace) and replaced only what created competitive advantage.
This "buy then build" strategy lets you move fast early and invest in custom builds only when you've validated what your business actually needs. If you're a startup trying to show traction to investors before your next round, this is the lowest-risk path. Ship with bought tools. Prove the model. Then build custom where it counts.
MarsDevs provides senior engineering teams for founders who need to ship fast without compromising quality. Whether you're replacing an outgrown SaaS tool or building your first custom product, we start building in 48 hours and deliver full code ownership from day one.
Over a 3-year period, custom software often costs less than SaaS at scale. SaaS looks cheaper upfront ($30,000 to $120,000/year in licenses) but compounds annually with price increases, per-seat scaling, and add-on fees. Custom software has a higher initial cost ($50,000 to $250,000) but stabilizes at 15 to 20% of build cost per year for maintenance. Run the math with your actual headcount projections over 3 years before deciding.
Build custom software when the tool is your product, your core differentiator, or when you've outgrown an off-the-shelf alternative. Early-stage startups should typically buy first to validate their business model, then build custom when they have clear requirements and revenue to justify the investment. The exception: if your product IS software, build your MVP from day one.
The three biggest risks are scope creep (building too much before validating), maintenance burden (someone must own the codebase long-term), and talent dependency (losing the engineers who understand the system). Mitigate these by working with a development partner that delivers clean, documented code with 100% ownership transfer. Budget 15 to 20% of initial build cost annually for maintenance, and scope aggressively to ship an MVP (Minimum Viable Product) before expanding.
AI-assisted development has compressed custom build timelines by 30 to 50%, with Forrester reporting a 32% average reduction in total development costs. Developers save 30 to 60% of time on routine coding tasks. Custom software that took 6 to 12 months now takes 6 to 12 weeks, largely eliminating the time-to-market advantage SaaS once held. Retool's 2026 report confirms this: 51% of teams have already shipped production software built with AI assistance.
Timeline depends on complexity. A focused internal tool or MVP takes 4 to 8 weeks. A standard application with user authentication, dashboards, and integrations takes 8 to 16 weeks. An enterprise platform with compliance, multi-tenant architecture, and advanced features takes 4 to 12 months. MarsDevs ships most custom builds in 6 to 8 weeks by scoping aggressively and assigning senior engineers from day one.
According to Retool's 2026 Build vs. Buy Report (surveying 817 enterprise customers and builders), 35% of teams have already replaced at least one SaaS tool with a custom build, and 78% expect to build more custom internal tools in 2026. The custom software development market is growing at 22.5% CAGR, projected to reach $146.18 billion by 2030. This is the largest shift toward custom builds in a decade.
The hybrid approach means buying SaaS for commodity functions (payments, email, CRM) and building custom software for competitive differentiators (proprietary workflows, unique data pipelines, custom dashboards). You connect them through APIs and middleware. This lets you move fast early with bought tools, then invest in custom builds only when you've validated what your business actually needs. Most forward-thinking engineering teams in 2026 use this strategy.
Calculate TCO over a 3-year minimum horizon. For SaaS, include: license fees, per-seat costs at projected headcount, API overage charges, integration middleware, training costs, and data export fees. For custom builds, include: initial development cost, hosting ($200 to $2,000/month), annual maintenance (15 to 20% of build cost), security patches, and team knowledge continuity. SaaS costs compound yearly; custom software costs stabilize after Year 1.
Vendor lock-in occurs when switching costs become so high that leaving a software vendor is impractical. Flexera reports that 47% of enterprises cite data migration as a significant barrier to switching providers. Companies with 10+ integrations into a single vendor have 40% lower churn, not because they're satisfied, but because leaving is too expensive. Custom software eliminates vendor lock-in because you own 100% of the code and data.
Non-technical founders should buy SaaS for commodity functions and partner with a product engineering company for custom builds. You don't need an in-house engineering team. Companies like MarsDevs provide senior engineers who build your product and hand over 100% code ownership. Start with SaaS to validate your business model, then build custom when you have clear requirements and revenue to justify the investment.
Stop asking "should we build or buy?" Start asking "where do we compete?"
Build where your software creates competitive advantage. Buy where it supports commodity operations. Connect both through clean integrations. And when you need engineering capacity to execute the "build" side, don't spend 6 months hiring. Partner with a team that's done it 80+ times.
MarsDevs ships custom software in 6 to 8 weeks with senior engineers, full code ownership, and zero vendor lock-in. We take on 4 new projects per month.
Book a free strategy call to walk through the build vs buy framework for your specific stack. Or see how we build custom SaaS products to understand timelines and costs.
The companies winning in 2026 aren't the ones with the biggest SaaS budgets. They're the ones building exactly what they need, exactly when they need it.
Co-Founder, MarsDevs
Vishvajit started MarsDevs in 2019 to help founders turn ideas into production-grade software. With deep expertise in AI, cloud architecture, and product engineering, he has led the delivery of 80+ software products for clients in 12+ countries.
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