Analyze technology market share, quarterly growth, 20-year adoption trends, ICP patterns, and migration analysis across categories. Compare competing technologies with real data from 50M+ domains. The kind of intelligence HG Insights charges 50K+/yearfor—startingat89/month.
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TechnologyChecker provides market intelligence with 20+ years of historical data across 40,000+ technologies on 50M+ domains. Analyze market share within categories, compare quarterly growth rates, track long-term adoption trends, build ICP profiles from real data, and understand migration patterns. HG Insights charges 50K+/yearforthiskindofdata.TechnologyCheckerstartsat89/month.
Use 20+ years of historical data to find which technology combinations correlate with your best customers, then find more companies matching those patterns.
Build ICP technology profiles
Analyze which technologies your highest-LTV customers share. Build scoring models based on empirical technology patterns rather than assumptions.Example: “Our highest-LTV customers use Stripe + Segment + a headless CMS. TechnologyChecker finds 2,400 companies matching this pattern that aren’t yet customers.”
Technology maturity segmentation
Segment prospects by technology sophistication. Companies using modern infrastructure (headless CMS, API-first tools, automation platforms) signal different buying behavior than those using legacy stacks.
Growth stage correlation
Identify which technology adoption patterns correlate with company growth stages. Early-stage companies have different tech stacks than scale-ups — use this for market segmentation and targeting.
Where do companies go when they leave a technology? Competitive displacement intelligence backed by real data.
Replacement tracking: Which technology do companies adopt after dropping Technology X?
Migration direction: Is the market moving toward or away from specific tools?
Competitive displacement: Which products are gaining share from which incumbents?
Industry-specific patterns: How do migration patterns differ by company size and vertical?
Example: A VC firm tracking the project management space sees that 60% of companies leaving Asana move to Linear or Notion, while Linear’s subscriber growth rate is 3x faster than Asana’s in the 100-500 employee segment.
Use the category market share view to see ranked positioning, or query GET /v1/technology/{id}/stats for each technology to compare active domain counts. For trend comparison, use GET /v1/technology/{id}/history with the same time range for both technologies.
What time ranges are available for trend data?
The platform offers 3-year, 5-year, 7-year, and 10-year views with monthly granularity. The API returns the full history (up to 20+ years) with GET /v1/technology/{id}/history, letting you define your own time ranges.
How is market share calculated?
Market share is calculated as the percentage of active domains using a technology relative to the total domains in that category. The donut chart shows the top 8 technologies with the rest grouped as “Other.” The ranked table shows the top 20 with visual progress bars.
Can I use this data for investment research?
Yes. 20-year historical data is well suited for market sizing, competitive mapping, and growth trajectory analysis. Track subscriber growth rates to spot breakout technologies, monitor churn rates to identify declining products, and analyze migration patterns for competitive displacement intelligence. See investment use cases for detailed workflows.
How does this compare to HG Insights market intelligence?
HG Insights provides enterprise-grade technology market intelligence (100K+ technologies, IT spend data, AI Copilot) for 50K+/year.TechnologyCheckerprovides20−yearhistoricaldata,real−timesubscriber/churnsignals,migrationpatternanalysis,andICPmodelingstartingat89/month. That makes it accessible to analysts, investors, and strategy teams at startups and mid-market companies.