Trend forecasting
Trend forecasting is the process of analyzing past data to identify future trends at both company and industry levels.
Businesses use historical firmographic and other data for trend forecasting in contexts ranging from investment or market research to competitive intelligence.
Up to 40 months of historical data
Raw and ready-to-use data
Rich, in-depth datasets
Best data sources for trend forecasting
LinkedIn Companies
LinkedIn Companies' data consists of almost 64M records and provides you with data points such as company name, website, size, location, industry, founding date, type, and more.
LinkedIn Members
LinkedIn Members' data consists of over 573M records and provides you with data points such as name, location, job title, experience, skills, employment length, and more.
Coresignal's data is tailored for the following cases
Industry forecasting
Historical firmographic data is used in statistical models that forecast company or industry-level trends, such as the future decline or growth of entire industries and market sectors.
Quantitative forecasting
In-depth employee and firmographic data is ideal for quantitative forecasting, allowing investors and companies to identify patterns, evaluate risks and prepare for future changes.
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Alternative data for forecasting industry trends
Companies use our rich firmographic datasets combined with the power of historical data to forecast trends, allowing them to predict future changes and be better prepared. With up to 40 months of historical data and hundreds of unique data points, be sure to have the highest quality data.
Enhance market research and discover trends
Coresignal’s rich alternative data can help investors and companies with their market research processes. With over 291M records updated monthly across various categories, you can create large samples for in-depth analysis and unlock unprecedented insights into future trends.
Hundreds of unique data points
Our high-quality people and company datasets include hundreds of unique data points from 20 total sources. This richness guarantees a high degree of flexibility in how you can use the data.
Employee data
- General information
- Job experience
- Education
- Skills and abilities
- Interests and activities
Firmographic data
- General information
- Financial information
- Location
- Job listings
- Reviews
What is trend forecasting?
Trend forecasting is quantitative, which means that it uses specific numbers from the past. Time series data is used, meaning data that can be plotted over a period of time, typically as a graph. One example is forecasting the growth of a selected company by tracking its employee number growth in different regions, which may be revealed as a linear pattern of increasing growth.
Although trend forecasting uses sophisticated statistical methods, it does not guarantee complete certainty. Unexpected events become more likely as time passes, so the farther into the future a prediction is applied, the more unpredictable the outcomes become.
What is trend analysis?
A related concept, the term "trend analysis" is more commonly used in financial contexts. It's a technical analysis method that tries to forecast future stock market movements using recent trend data. Trend analysis, like trend forecasting, is focused on the premise that what has occurred in the past will help traders predict what will happen in the future.
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Coresignal's data helps companies achieve their goals
Frequently asked questions
What data sets are used for trend forecasting?
Investment firms and other companies typically use our firmographic, employee and job posting datasets for trend forecasting.
How do you use data for trend forecasting?
Trend forecasting utilizes data through numerous analyzation processes, creating in-depth market and industry insights.
How do you measure trend forecasting?
Trend forecasting can be measured by sales revenue, return on investment, gross profit margins, and even overhead costs.