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US Small Wireline Data Expenditures By Vertical Summary, 2005-2010Product Type: Market Research ReportPublished by: Compass Intelligence Published: October 2006 Product Code: R705-466 Description This Excel-base Data-rich Deliverable (DRD) that is part of the Small Business subscription includes market intelligence on Wireline Data expenditures for small business by vertical. Compass Intelligence defines Wireline Data as expenditures on for-fee data transport services over a wireless network, even when sessions are terminated on a wireline network. This category includes fixed wireless; satellite broadcast Internet services; wireless web services and private/proprietary wireless data network services, as well as one-time service-related charges such as equipment set up (not related to applications integration). This category does not include hosting fees for wireless-accessible applications, one-time applications integration or equipment rental. There are nine vertical markets included in this forecasting breakout: those include Mining, Construction, Manufacturing, TCU (Transportation/Communications/Utilities), Wholesale Trade, Retail Trade, Services, and Government. Size of business includes Small Business (5-99 employees). The Expert Guide for this deliverable is Kneko Burney. Forecasts are from 2005 through 2010 and include annual growth rates, as well as percentage of total market.Sources: Compass Intelligence’s segment and market forecasts, which include business expenditures, market demographics, and usage and adoption statistics are built using multiple sources, including proprietary Compass Intelligence research. These sources include, but are not limited to, secondary research, government data and statistics (e.g. Department of Commerce, Federal Communication Commission, Bureau of Labor Statistics and US Census Bureau), primary research, vendor-based research and in-depth interviews with key decision-makers, where relevant. Compass Intelligence selects data sources to provide greatest degree of perspective on each market or segment, in addition to the highest level of data accuracy, stability, and consistency over time. Table of Contents
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