The Value Chain in Software Development
When people think about software, they often think about coding. But coding is only one small part of the full value chain.
The value chain in software means all the steps that create value — from the first idea to the final product running in the market. Not all steps create the same level of value. Some roles earn much more because they control the problem, not just the solution.
Let’s break it down.
1. Pure Coding (Execution Work)
This is when a client provides detailed requirements, and the team writes code based on instructions.
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No decision power
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No product influence
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Paid by hour or man-day
This is similar to assembly work in manufacturing. Important, but low margin. Easy to replace. Competes mostly on price.
Many outsourcing companies operate at this level.
2. Technical Design and Engineering Ownership
Here, the team does more than coding.
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Defines architecture
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Suggests better solutions
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Reviews requirements
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Makes technical decisions
Now the company is not just a pair of hands. It brings expertise. Margins improve. Clients rely more on the team.
This is already a move up in the value chain.
3. Product Engineering / Co-Creation
At this stage, the team participates early.
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Understands business needs
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Shapes features
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Improves user experience
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Thinks about scalability and long-term impact
The discussion shifts from “What should we build?” to “Why are we building this?”
Now value increases significantly. The company becomes a partner, not just a supplier.
4. Product Strategy and Solution Ownership
This is where real power sits.
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Defines roadmap
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Owns scope, cost, quality
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Balances technical and business decisions
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Drives outcomes, not tasks
Here, the company sells solutions, not resources.
It is no longer billing hours. It is delivering results.
5. Product Ownership (IP and Platform)
This is the highest level.
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Owns the intellectual property
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Builds a product or platform
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Generates recurring revenue (for example SaaS)
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Controls pricing and direction
Now value comes from scale, not effort. One good product can serve thousands of customers.
This is where margins are strongest.
The “Smile Curve” in Software
If you draw a curve:
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Left side: Idea, design, strategy → High value
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Middle: Coding and testing → Lower value
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Right side: Branding, product control, platform → High value
The middle is execution. The ends are ownership.
Why This Matters
For countries and companies, staying in low-level coding means:
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Competing on cost
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Limited profit
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High pressure
Moving up the value chain means:
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Stronger margins
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Strategic influence
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Long-term sustainability
It is not about writing more code.
It is about owning more decisions.
In simple terms:
If you only build what others design, you stay replaceable.
If you help define the product, you gain leverage.
If you own the product, you control the game.
That is the real value chain in software.
Reference:
Drucker, P.F. (1993) Post-capitalist society. New York: Harper Business.
Levitt, T. (1972) ‘Production-line approach to service’, Harvard Business Review, 50(5), pp. 41–52.
OECD (2013) Interconnected economies: Benefiting from global value chains. Paris: OECD Publishing.
Project Management Institute (PMI) (2021) A guide to the project management body of knowledge (PMBOK® Guide). 7th edn. Newtown Square, PA: PMI.
Schwaber, K. and Sutherland, J. (2020) The Scrum Guide. Available at: https://scrumguides.org (Accessed: 03.02.2026).
Shih, S. (1996) Me-too is not my style: Challenge difficulties, break through bottlenecks, create values. Taipei: Acer Foundation. (Smile Curve concept).
World Bank (2020) World development report 2020: Trading for development in the age of global value chains. Washington, DC: World Bank.
Porter, M.E. (1985) Competitive advantage: Creating and sustaining superior performance. New York: Free Press.
McKinsey Global Institute (2016) Digital globalization: The new era of global flows. New York: McKinsey & Company.
ITIL (2019) ITIL Foundation: ITIL 4 edition. London: TSO (The Stationery Office).
Gereffi, G., Humphrey, J. and Sturgeon, T. (2005) ‘The governance of global value chains’, Review of International Political Economy, 12(1), pp. 78–104.
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