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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.TechnologyCheckerstartsat50K+/year for this kind of data. TechnologyChecker starts at 89/month.

Market share analysis

Drill into any technology category to see how market share is distributed.

Donut chart

Top 8 technologies with percentage breakdowns, color-coded legend, and total website count displayed in the center.

Top 20 table

Ranked list with website counts and visual progress bars scaled relative to the leader’s market share.

Quarterly growth

Track the biggest movers between quarters with a horizontal bar chart showing the top 5 technologies by absolute change.
  • Green bars indicate positive growth
  • Red bars indicate decline
Each data point includes:
FieldDescription
Technology nameWith icon
Previous quarter countStarting baseline
Current quarter countCurrent measurement
Absolute changeNet difference
Percentage changeRelative growth rate
A stacked area chart tracks the top 5 technologies by adoption over configurable time ranges:
Default view with monthly data points. Best for tracking recent momentum and short-term shifts.
The chart uses formatted counts (1.2M, 546K) on the Y-axis and monthly labels (“Jan 2024”) on the X-axis.

ICP pattern analysis

Use 20+ years of historical data to find which technology combinations correlate with your best customers, then find more companies matching those patterns.
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.”
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.
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.

Migration pattern analysis

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 cases

Competitive positioning

Understand where your product stands relative to alternatives in the same category.

Market timing

Identify categories experiencing rapid growth or consolidation using subscriber/churn signals.

Investment research

Track technology adoption as a proxy for market traction and revenue growth.

ICP modeling

Build technology-based ICP profiles from 20-year historical patterns.

Content strategy

Create data-driven content based on real adoption trends and market movements.

Industry benchmarking

Compare technology adoption by company size, industry, and geography.

Frequently asked questions

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.
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.
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.
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.
HG Insights provides enterprise-grade technology market intelligence (100K+ technologies, IT spend data, AI Copilot) for 50K+/year.TechnologyCheckerprovides20yearhistoricaldata,realtimesubscriber/churnsignals,migrationpatternanalysis,andICPmodelingstartingat50K+/year. TechnologyChecker provides 20-year historical data, real-time subscriber/churn signals, migration pattern analysis, and ICP modeling starting at 89/month. That makes it accessible to analysts, investors, and strategy teams at startups and mid-market companies.