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  • Industry maturity and structural characteristics

  • Power dynamics and profitability drivers

  • Disruption potential and entry barriers

  • Supplier and customer leverage

  • Regulatory landscape and impact

Implementation Guidelines

Getting Started

  1. Begin by identifying and documenting key market segments

  2. Select a high-priority segment and assess competitive positions

  3. Map major market trends affecting your strategic priorities

  4. Conduct an industry analysis for your primary business

  5. Link these market elements to relevant strategies and capabilities

Best Practices

  • Ensure market segments have clear boundaries and distinct competitive dynamics

  • Base competitive positions on objective data and rigorous analysis

  • Update market trends regularly with new evidence and impact assessments

  • Connect market elements to strategic decisions and performance metrics

  • Involve multiple perspectives in market analysis to avoid confirmation bias

  • Maintain a balance between current competitive analysis and future-oriented trend analysis

Common Pitfalls to Avoid

  • Creating too many market segments, diluting analytical focus

  • Basing competitive analysis on assumptions rather than evidence

  • Failing to connect market analysis to strategic and operational domains

  • Not updating market models as industry dynamics evolve

  • Focusing exclusively on direct competitors while missing indirect threats

  • Overlooking early signals of disruptive market trends

Schema Evolution Guidance

The Market Domain schema is expected to evolve with emerging practices in strategic planning and competitive intelligence. Future extensions may include:

  • Enhanced disruption modeling

  • Ecosystem and platform dynamics

  • Competitive alliance and partnership modeling

  • Predictive competitive analytics integration

  • Digital marketplace dynamics

  • Market data ethics and governance

Organizations should plan for these evolutions by maintaining clean taxonomies and clear relationship models in their current implementation.

Conclusion

The Market Domain extends the Orthogramic Metamodel with a robust framework for modeling and managing market-related aspects of business architecture. By providing structured schemas for market segments, competitive positions, industry analyses, and market trends, it enables organizations to systematically align their capabilities, value streams, products, and strategies with market realities and competitive dynamics.

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Property

Description

Example

relationshipID

Unique identifier for this relationship

"REL-MKTPROD-001"

marketID

ID of the market element

"MKT-ENTSW-001"

offeringType

Whether this is a product or service

"product"

title

Name of the product or service

"IntelliSuite Analytics Platform"

positioningType

Market positioning of offering

"premium"

marketFit

How well the offering fits market needs

{"fitLevel": "good", "gaps": ["Limited industry-specific templates"]}

competitiveComparison

Comparison with competitive offerings

[{"competitorID": "CP-SFCRM-001", "strengthsAgainst": ["Better data integration"]}]

marketShare

Share of this market

{"currentShare": 5.2, "targetShare": 8.0, "growthRate": 1.8}

differentiationFactors

Factors that differentiate this offering

[{"factor": "Real-time processing", "importance": "critical", "uniqueness": "highly unique"}]

marketTrends

Market trends affecting this offering

[{"trendID": "TREND-AI-001", "impact": "positive"}]

roadmapAlignment

How product/service roadmap aligns with market evolution

"Roadmap emphasizes AI integration and industry specialization"

performanceMetrics

Market performance metrics for this offering

[{"metricName": "Competitive win rate", "currentValue": "48%", "targetValue": "60%"}]

Schema Evolution Guidance

The Market Domain schema is expected to evolve with emerging practices in strategic planning and competitive intelligence. Future extensions may include:

  • Enhanced disruption modeling

  • Ecosystem and platform dynamics

  • Competitive alliance and partnership modeling

  • Predictive competitive analytics integration

  • Digital marketplace dynamics

  • Market data ethics and governance

Organizations should plan for these evolutions by maintaining clean taxonomies and clear relationship models in their current implementation.