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market trend forecasting

Forecast market trends

  • Predict technological advancements
  • Anticipate future market movements
  • Shape forward-thinking business strategies
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Used by:
Investment and Research Firms
Tech Companies
Academic Institutions
Daily

updates and discovery

20

data sources

3B+

data records

APIs

with a self-service tool

How our clients use web data for market trend forecasting

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

predicting market trends

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

anticipating future market trends

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Need data for market trend forecasting?

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Ugnius Zasimauskas

Data Strategy Consultant

Quotation mark

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

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

expert image

Ugnius Zasimauskas

Data Strategy Consultant

Quotation mark

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

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