Competitive Landscape Mapping: Visualizing Industry Power Through Supply Chain Data

The Question

Two companies compete in the same product category. One consistently grows margins while the other sees compression. Traditional financial analysis shows the divergence but not why. Is it operational efficiency? Pricing power? Supplier dependencies? Customer concentration?

Supply chain position determines competitive outcomes. Companies that control critical bottlenecks, serve diversified customers, or source from competitive supplier markets enjoy structural advantages. Companies dependent on concentrated suppliers or serving powerful customers get squeezed.

But mapping these relationships at scale is difficult—you'd need to analyze hundreds of supply chain links across dozens of product categories to understand where power lies. Can you visualize competitive landscapes systematically using supply chain network data?

The Approach

We build product-level supply chain graphs that reveal industry competitive dynamics through three lenses:

Lens 1: Market Share & Concentration (SAM + Financial Notes)
For each product category in SAM's taxonomy, identify all companies producing that product and calculate market share based on segment revenue (Financial Notes). Visualize market structure: monopoly (one dominant player), oligopoly (top 3 control 70%+), or fragmented (no dominant players).

High concentration = pricing power for incumbents
Fragmentation = competitive intensity, margin pressure

Lens 2: Upstream/Downstream Dependencies (Customer & Supplier)
Map direct commercial relationships: who supplies whom, weighted by transaction volumes. Calculate dependency metrics:

• Supplier concentration risk: % of purchases from top 3 suppliers → high concentration = vulnerable to supplier pricing power
• Customer concentration risk: % of sales to top 3 customers → high concentration = vulnerable to customer negotiation leverage

Companies with diversified suppliers but concentrated customers face margin pressure. Companies with concentrated suppliers but diversified customers can pass through cost increases.

Lens 3: Profit Allocation Across the Chain (Financial Notes)
Track gross margins, operating margins, and ROE across each node in the supply chain. Where do profits accumulate? Common patterns:

• Upstream material suppliers capture value when raw material prices spike (commodity exposure)
• Midstream manufacturers capture value through operational efficiency and scale (equipment, labor productivity)
• Downstream distributors/installers capture value through customer relationships and service margins

Visualizing profit distribution reveals who has pricing power in practice—not just theoretically.

The Graph Output:
A network diagram where:

• Nodes = companies/product categories, sized by revenue, colored by margin level
• Edges = supply/customer relationships, weighted by transaction volume
• Annotations = market share, margin trends, dependency metrics

This creates an intuitive visual of "who's winning" in an industry value chain.

The Finding

Visualizing supply chain competitive landscapes revealed patterns that financial statement analysis alone missed:

Case Study: EV Battery Value Chain
Mapping the entire chain from lithium mining → cathode materials → cell manufacturing → pack assembly showed that cathode material producers held a structural advantage:

• Upstream: Lithium miners faced cyclical commodity pricing (no pricing power)
• Midstream: Cathode producers had oligopolistic structure (top 3 controlled 60% share) and served diversified customers (every cell maker needed them) → high margins, rising ROE
• Downstream: Cell manufacturers faced intense competition and were squeezed by automaker customers (Tesla, BYD negotiating hard) → margin compression

The visualization predicted that cathode players would outperform—which they did by 30%+ over the next 12 months. Traditional financial screens looking at "battery stocks" broadly would have missed this segment-level insight.

Case Study: Semiconductor Equipment
Supply chain mapping revealed that specialized equipment suppliers (e.g., EUV lithography, ion implantation) with no substitutes enjoyed sustained pricing power, while commodity equipment providers (wafer handling, testing) faced margin erosion. The market hadn't fully differentiated—creating alpha opportunities.

Quantitative signals from graphs:

We tested whether network centrality + high margins predicted outperformance. Companies that were central nodes (many connections) and high-margin outperformed by 8-12% annually—they had both structural advantages (centrality = information flow, negotiating power) and execution quality (margins).

Companies with worsening dependency ratios (rising supplier/customer concentration) underperformed even when current financials looked fine. The supply chain graph warned of deteriorating bargaining power before it showed up in margins.

Try It Yourself

Competitive landscape mapping is as much art (interpretation, visualization) as science (quantitative scoring). It's best suited for sector-specialist investors doing deep fundamental work, not high-frequency quant strategies.

Implementation steps:

1. Choose an industry value chain: Start with a well-defined chain (solar, EVs, semiconductors) where relationships are documented. Avoid fragmented industries (retail, services) where supply chains are opaque.

2. Build the graph: Use Customer & Supplier for commercial relationships, SAM for product taxonomy, Financial Notes for margins/share. Graph visualization tools (Gephi, Cytoscape, or custom D3.js) help render the networks.

3. Calculate metrics: For each node, compute market share, margin trends, supplier/customer concentration, network centrality. Overlay these as node attributes in the graph.

4. Identify structural winners: Look for companies with: high market share, oligopolistic positioning, diversified customers, competitive supplier markets, and rising margins. These are candidates for long-term holdings.

5. Monitor changes: Update graphs quarterly as relationships and market shares shift. When a company's position deteriorates (new competitors, customer concentration rising), that's a sell signal even if current earnings are fine.

Qualitative insights matter: The graphs often surface questions for deeper research—"Why does this company have 40% margin while its peer has 20%? Is it product differentiation, vertical integration, or just transient pricing?" Use the graph to direct fundamental research, not replace it.

This approach is particularly valuable for equity analysts and portfolio managers building conviction in long-term holdings. Competitive position doesn't change quarter-to-quarter, so if you identify a structurally advantaged company early, you can hold through volatility.

Want to build competitive landscape maps for your sector coverage? Book a call to discuss graph construction, visualization tools, and analytical frameworks.

Source: 民生证券《如何根据产业链图谱分析竞争格局与未来趋势？》 (2023-07-20/2023-07-21).