ASX Top 200 Market Research
How to use the ASX Top 200 dataset for market research, competitive intelligence, TAM analysis, and technology adoption insights.
Research Overview
The ASX Top 200 dataset provides a comprehensive snapshot of Australia's enterprise market, enabling market analysts, product strategists, and competitive intelligence teams to understand market composition, identify trends, and size opportunities.
Key Research Applications
Total Addressable Market (TAM) Sizing
Calculate market opportunity for enterprise B2B products
Use financial and firmographic data to estimate your serviceable market:
Example: Enterprise Software TAM Calculation
Fields Used:
- •
Sector— Industry filtering - •
Employees— Size segmentation - •
Annual Revenue— Budget proxy - •
Market Cap— Enterprise value
Analysis Output:
- → Investor presentations
- → Sales territory planning
- → Product roadmap prioritization
- → Go-to-market strategy validation
Competitive Technology Analysis
Identify competitor adoption and displacement opportunities
Use the Tech Stack field to analyze technology adoption:
Example: CRM Market Share Analysis
🎯 Strategic Insights:
- • Displacement opportunity: 67 Salesforce accounts represent competitive displacement targets
- • Greenfield opportunity: 63 accounts with unknown CRM represent net-new prospects
- • Partnership strategy: High Salesforce adoption → prioritize Salesforce AppExchange listing
- • Positioning: Microsoft Dynamics users → emphasize Office 365 integration
Industry Segmentation & Trends
Analyze market composition by sector and identify growth areas
Use Sector, GICS Code, and Market Cap to understand industry distribution:
Top Sectors by Market Cap
Top Sectors by Account Count
Market Research Applications:
- → Vertical prioritization: Focus product development on high-concentration sectors
- → Industry benchmarks: Compare tech adoption rates across sectors
- → Whitepaper data: "State of Technology in Australian Financials" report
- → Sales enablement: Industry-specific use case libraries
Geographic & Regional Analysis
Understand regional concentration and office distribution
Use Location, City, State fields for regional insights:
Business Applications:
- • Sales territory design: Allocate AEs based on HQ concentration (Sydney gets 2x coverage)
- • Event planning: Host enterprise roadshow in Sydney (reaches 104 accounts)
- • Partnership strategy: Local SI partnerships in Melbourne (56 accounts)
- • Remote work analysis: Companies with distributed workforces vs. central HQ
Firmographic Benchmarking
Compare company characteristics and identify patterns
Analyze distributions across key firmographic dimensions:
| Metric | Distribution | Research Insight |
|---|---|---|
| Employee Range |
1K-5K: 45% 5K-10K: 28% 10K+: 27% |
Mid-enterprise (1K-5K) is largest segment—ideal for mid-market product positioning |
| Market Cap Tier |
>$10B: 32% $5-10B: 24% $1-5B: 44% |
Long tail of mid-cap companies (44%)—opportunity for challenger brands |
| Tech Stack Size |
10+ tools: 62% 5-10 tools: 28% <5 tools: 10% |
High tool adoption—integration/consolidation messaging resonates |
Sample Research Deliverables
📊 Market Landscape Report
- ✓ Industry composition breakdown by sector
- ✓ Market cap distribution analysis
- ✓ Geographic concentration maps
- ✓ Employee size segmentation
- ✓ Technology adoption heat maps
- ✓ Competitive landscape overview
🎯 TAM/SAM/SOM Model
- ✓ Total Addressable Market calculation
- ✓ Serviceable Addressable Market sizing
- ✓ Serviceable Obtainable Market projection
- ✓ Penetration rate assumptions
- ✓ Revenue opportunity modeling
- ✓ Market share targets by segment
🔍 Competitive Intelligence
- ✓ Technology stack analysis by vendor
- ✓ Market share calculations
- ✓ Displacement opportunity mapping
- ✓ Integration ecosystem analysis
- ✓ Adoption trends over time
- ✓ Win/loss pattern identification
📈 Trend Analysis
- ✓ Cloud adoption rates by industry
- ✓ Digital transformation maturity
- ✓ Technology investment patterns
- ✓ Sector-specific buying behaviors
- ✓ Budget allocation insights
- ✓ Future market predictions
Analysis Tools & Methods
📊 Excel/Google Sheets
- • Pivot tables for segmentation
- • COUNTIF for market share
- • VLOOKUP for enrichment
- • Charts for visualization
💻 Python/Pandas
- • groupby() for aggregation
- • value_counts() for distribution
- • matplotlib for charts
- • Statistical analysis
📈 BI Tools
- • Tableau dashboards
- • Power BI reports
- • Looker visualizations
- • Interactive filtering
Ready to Conduct ASX Top 200 Market Research?
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