Series B Market Analysis

AI Series B Market Analysis Template

Professional template for AI companies conducting Series B market analysis. Focus on international expansion, competitive moats, and market leadership positioning for $15M-50M funding rounds.

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Series B Market Analysis Focus Areas

Critical analysis areas for AI companies at Series B stage, focusing on scale and international expansion

International Expansion

Global market entry strategies and localization requirements

Competitive Moats

Sustainable competitive advantages and market barriers

Market Leadership

Path to category leadership and market dominance

Operational Scaling

Team expansion and infrastructure scaling strategies

Comprehensive Template Sections

Each section includes industry-specific frameworks, competitive analysis tools, and Series B investor expectations

Executive Summary

  • Series B positioning and funding objectives ($15M-50M)
  • International expansion strategy overview
  • Market leadership thesis and competitive moats
  • AI technology differentiation and IP portfolio

Global Market Analysis

  • International AI market sizing ($500B+ by 2024)
  • Regional market penetration strategies
  • Regulatory landscape across key markets
  • Local partnership and distribution channels

Competitive Intelligence

  • Deep competitive mapping and positioning
  • Technology moats and patent landscape
  • Market share analysis and growth trajectories
  • Pricing power and customer switching costs

Go-to-Market Strategy

  • Enterprise sales strategy and channel partnerships
  • Customer acquisition cost optimization
  • Market penetration and expansion metrics
  • Strategic partnerships and ecosystem development

Technology & Product Roadmap

  • AI model development and performance benchmarks
  • Platform scalability and infrastructure requirements
  • Product feature prioritization and user feedback
  • R&D investment allocation and timeline

Financial Projections

  • 5-year revenue projections and growth assumptions
  • International market contribution modeling
  • Unit economics and LTV/CAC optimization
  • Path to profitability and Series C readiness

Series B Investor Expectations

Understanding what Series B investors look for in AI companies seeking growth capital

Market Expansion

Clear international expansion strategy with proven product-market fit and local market entry plans

Competitive Defense

Strong competitive moats including technology advantages, network effects, and customer lock-in

Growth Metrics

Strong unit economics, efficient customer acquisition, and clear path to market leadership position

Frequently Asked Questions

Common questions about AI Series B market analysis and fundraising

What makes a strong Series B market analysis for AI companies?

A strong Series B market analysis demonstrates clear international expansion opportunities, sustainable competitive advantages, and a path to market leadership. Focus on proven unit economics, technology moats, and scalable go-to-market strategies that can support $15M-50M in growth capital deployment.

How do I demonstrate competitive moats in the AI space?

AI competitive moats include proprietary datasets, superior model performance, network effects, customer switching costs, and patent portfolios. Quantify these advantages with performance benchmarks, customer retention metrics, and technology differentiation analysis compared to competitors.

What international expansion factors should Series B AI companies consider?

Consider regulatory compliance (GDPR, AI governance), data localization requirements, local partnership strategies, market-specific AI adoption rates, and competitive landscapes. Include market sizing, entry barriers, and localization costs in your analysis.

How do Series B investors evaluate AI market opportunities?

Series B investors focus on market size and growth, competitive positioning, technology differentiation, customer acquisition efficiency, international expansion potential, and path to market dominance. They want to see proven product-market fit and clear scaling strategies.

What financial metrics are most important for AI Series B?

Key metrics include ARR growth rate (100%+ ideal), net revenue retention (120%+), gross margins (70%+), LTV/CAC ratio (3:1 minimum), payback period (<18 months), and burn multiple (<2x). International revenue contribution and expansion efficiency are also critical.

How should I position against Big Tech AI initiatives?

Focus on specialized use cases, vertical expertise, faster innovation cycles, and customer-centric solutions that Big Tech cannot easily replicate. Highlight partnership opportunities rather than direct competition, and emphasize your ability to serve specific market segments with tailored solutions.

Ready to Create Your Series B Market Analysis?

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