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Global Courier, Express & Parcel (CEP) Market – 2009 Edition
Market |
Logistics |
Report Type |
Market Research |
Country |
Global |
Published |
1 December 2009 |
Number of Pages |
37 |
- |
|
Publisher |
Koncept Analytics |
File Format |
- |
CEP is a high potential market, the growth of which is directly related to the global GDP, trade and population. The CEP market is an important part of the overall transportation and distribution industry and reflects the global industrial state and the growth therein.
Globally, CEP market is growing at different paces. On one hand, there is the matured market of the US, while on the other; there are markets which are still underdeveloped. The Asian market holds tremendous growth potential. With China being the most promising market in Asia, opening up opportunities for foreign companies and India picking up the pace, the Asian region is set to grab the limelight in the near future. Markets in Asia are flourishing due to the growing trade between India and China.
The worldwide CEP market is dominated by the four large delivery companies FedEx, UPS, DHL and TNT. The main target of all these companies is to strengthen their networks through their international alliances, agreements, strategic acquisitions and by exploring newer markets.
The report discusses the global CEP market and highlights the growth and characteristics of the various regional markets and countries. The report covers the major markets - US, Europe, and Asia. The report also profiles the four major express delivery companies, focusing in-depth on their business strategies. It also highlights the major trends and issues prevalent in the market.
By combining SPSS Inc.'s data integration and analysis capabilities with our relevant findings, we have predicted the future growth of the industry. We employed various significant variables that have an impact on this industry and created regression models with SPSS Base to determine the future direction of the industry. Before deploying the regression model, the relationship between several independent or predictor variables and the dependent variable was analyzed using standard SPSS output, including charts, tables and tests.
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