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Building material companies and construction firms rely on us to predict material needs. We forecast construction spending overall and by 30 key building types at the national and state level, so you can:
|I need to size the rental equipment, tools and supplies market.||Quantify the rental market with annual rental inventory revenue compilations and investment estimates for future years.|
|How can I predict machinery production by product line?||Request a customized demand index by product line with key drivers.|
|My strategic plans require medium-term production expectations.||We can create a model that measures relationship among your product sales, construction activity by building type, and other economic factors so you can minimize inventory overhang and maximize productivity.|
|I want to evaluate market potential by segment and geography||Get an estimated usage for your building products by structure type, and benchmark the estimate against national sales to create product forecasts by building type and geography.|
|I need to set realistic territory sales goals.||Our customized model incorporates your product sales and building products with county-level market potential. This model will let you reassign sales resources and set performance expectations.|
One of the world’s largest oilfield service providers enhanced the forecasting accuracy of its oil rig count model from 90 to 97.6 percent, predicted the impact of price changes on customer spending and demand for product lines (by leveraging 3,500 factors) and created a model that predicted the deflation of WTI crude oil prices in late 2014.Learn More About Our Customers Success
This premier aircraft manufacturer produced Flying on Demand, Global Market Forecast 2014-2033, a reference book that provides comprehensive economic, financial and political coverage of 200-plus countries. Stakeholders throughout the commercial airline industry rely on the book’s insights regarding product innovation, production and planning.
A global insurance industry leader brought efficiency to risk selection by standardizing with one information provider across all underwriting decisions. This firm thereby reduced research costs by 20%, established a ‘center of excellence’ internally and fueled growth by gaining insights to write risk in areas where others held back.
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