How long does it take to develop a network? By project type by actual schedule
If you are planning to build a digital product or platform, one of the first questions you want to ask is: How long will it take?
Maybe you’ve come across it – or you’re going to use – but when you contact a software agent, they almost always say the same thing: “It depends.” By schedule, cost, range. Do you know? They are not lying.
But that doesn’t mean you get stuck without direction. You can position yourself using reliable average numbers – industry benchmarks and research based on 50 software development organizations.
MVP (Minimum viable product)
deliver goods: 6-10 weeks
MVP is the fastest way to verify an idea – it should include only core functionality, a minimal design system and enough backend logic to run reliably. You can usually expect:
- Week 1-2: Discovery, Feature Priority, Wireframe
- Weeks 3-7: Front-end/Back-end Development, Testing, Iteration
- Weeks 8-10: Startup, Error Fix, Feedback Integration
Want to start lean? See how MVP development services It can shorten your path to listing.
Company website (information)
deliver goods: 3-6 weeks
For brand awareness, investor relations or just having a legitimate online business, company websites are relatively fast, especially when:
- Content and brand equity are ready
- There is a clear site map
- You’re not reinventing UX practice
Some websites take longer due to animations, content delays, or custom CMS requirements.
E-commerce website
deliver goods: 8–16 weeks
E-commerce platforms often take longer due to product catalogs, payment integration, checkout logic, and management panels. For custom builds:
- Week 1-3: Discovery, User Journey, Prototype
- Weeks 4-10: Front-end/Back-end Development, Payment, Shopping Cart, Inventory Logic
- Weeks 11-16: QA, UAT, Release Prep
If you use Shopify or headless CMS+stripes, the timeline will be shortened. But with scale, complexity.
Management Dashboard/Internal Tools
deliver goods: 6-12 weeks
The dashboard sounds simple, but due to:
- Complex data tables and filtering logic
- Role-based access controls
- Integrate with internal databases or APIs
If you are going to digitize operations or replace spreadsheets, this is your area. Learn more from this Digital companies Specializes in internal platforms.
Customer Portal (B2B, FinTech, SaaS)
deliver goods: 10–18 weeks
Customer-facing portals must be secure, responsive, and often involve hierarchical access, document sharing, ticketing systems, or billing tools. plan:
- Multiple user roles
- Data visualization (charts, dashboards)
- Identity authentication + security audit
Projects involving sensitive data also require compliance checks (GDPR, ISO, etc.).
Financial applications/fintech products
deliver goods: 12–24 weeks
Applications that process payments, loans, wallets, or investments usually involve:
- AML/KYC integration
- Real-time data synchronization
- Regulatory constraints
- Transaction reliability
Fintech is inherently complex and benefits from experienced partners. That’s where the team likes S-Pro Increased long-term value.
Digital banking platform
deliver goods: 6-12 months
Launching digital banking or new machines is a marathon. These platforms usually include:
- Core banking engine integration
- User onboarding and identity verification
- Transaction flow and budgeting tools
- Management modules and audit logs
The timetable extends further, with multiple regulatory environments or cross-border features.
Telemedicine Platform
deliver goods: 16-32 weeks
These platforms must balance UX with medical compliance. Common features:
- Video consultation (HIPAA or GDPR compliant)
- Patient records and appointment schedules
- Prescription, billing and insurance logic
Telemedicine builds require additional time for security testing and health data protection.
Marketing Analysis/Brand Monitoring Tools
deliver goods: 10–20 weeks
Build competitors to watch with brand or sprout socializing? Even the lowest version requires multiple data pipelines, front-ends of analysis, and filtering tools for time range, geographic or topic clusters. If AI is involved or generate summary, you also need to do model adjustments, timely testing and bias checking. You are dealing with:
- Real-time data ingestion from social API or news sources
- Natural language processing for emotion, keywords and trend analysis
- Data normalization and storage across multiple channels
- Alerts and notifications when emotional shifts or mentions spikes
For simplified use cases, you can expect faster delivery (nearly 10-12 weeks) – for example, just track the emotions mentioned by Twitter. However, a fully functional dashboard can easily stabilize for 4-5 months.
