Forecast market trends

  • Predict technological advancements
  • Anticipate future market movements
  • Shape forward-thinking business strategies
Contact us
Used by:
Investment and research firms
Tech companies
Academic institutions
updates and discovery
data sources
data records
with a self-service tool

How our clients use web data for market trend forecasting

Predicting market trends

Predict technological advancements

Forecast market trends, especially in technological advancements. Product listings and reviews can indicate product popularity and market fit. At the same time, employee data and job postings, including required skills, are powerful sources of information for grasping current and future tech trends.

These predictive insights are crucial for staying ahead in fast-evolving industries.

Top data points: industry, product_ratings_count, product_categories, product_ratings_average, position_title, skills, salary, tech_stack

Contact us

Anticipate future market movements

Gain insights into competitors' strategies, strengths, and weaknesses by analyzing company growth trends (historical data), funding data, employee reviews, product ratings, and more. This comprehensive analysis allows for a better understanding of the competitive landscape.

Top data points: headcount, average_tenure, team_composition, revenue,company_pros, company_cons, product_rating, company_rating, active_job_postings

Contact us
Anticipating future market trends

Choose how you want to get the data

Database API

Database API

Search and enrich with direct access to a large-scale database.

Try for free


Leverage extensive datasets for unique business insights.

See more datasets

Need data for market trend forecasting?

Get in touch with our data consultants and we'll help you pick the best data solution.

Book a free consultation
Data strategy consultant Ugnius Zasimauskas
Ugnius Zasimauskas
Data Strategy Consultant

Forecasting market trends is not an easy task. And without accurate data, it becomes virtually impossible. That's why I recommend having the most comprehensive dataset as before delving deep into analysis.