We have data on 52 companies that use Global IP Estimator. The companies using Global IP Estimator are most often found in United States and in the Law Practice industry. Global IP Estimator is most often used by companies with 1000-5000 employees and 200M-1000M dollars in revenue. Our data for Global IP Estimator usage goes back as far as 5 years and 7 months.
If you’re interested in the companies that use Global IP Estimator, you may want to check out PeopleSoft and SAP ERP as well.
|Company||Fox Rothschild LLP|
|Company||Dykema Gossett PLLC|
|Company||Harness, Dickey & Pierce, P.l.c.|
|Fox Rothschild LLP||foxrothschild.com||United States||200M-1000M||1000-5000|
|Dickinson Wright||dickinson-wright.com||United States||100M-200M||500-1000|
|Dykema Gossett PLLC||dykema.com||United States||100M-200M||500-1000|
|Harness, Dickey & Pierce, P.l.c.||hdp.com||United States||50M-100M||200-500|
|Anaqua, Inc.||anaqua.com||United States||50M-100M||200-500|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Financial Management. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Financial Management category, Global IP Estimator has a market share of about 0.1%. Other major and competing products in this category include:
Global IP Estimator combines expert technology with worldwide coverage of IP fees and timeline projections to bring you instant, accurate, and customizable results.
Looking at Global IP Estimator customers by industry, we find that Law Practice (75%) and Legal Services (7%) are the largest segments.
97% of Global IP Estimator customers are in United States.
Of all the customers that are using Global IP Estimator, 0% are small (<50 employees), 43% are medium-sized and 41% are large (>1000 employees).
Of all the customers that are using Global IP Estimator, 20% are small (<$50M), 26% are medium-sized and 37% are large (>$1000M).