The 2016-2021 Outlook for Aircraft Maintenance, Repair, and Overhaul (MRO) Services in Europe

 Published On: Jul, 2013 |    No of Pages: 59 |  Published By: Icon Group International, Inc | Format: PDF
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This econometric study covers the outlook for aircraft maintenance, repair, and overhaul (mro) services in Europe. For each year reported, estimates are given for the latent demand, or potential industry earnings (P.I.E.), for the country in question (in millions of U.S. dollars), the percent share the country is of the region and of the globe. These comparative benchmarks allow the reader to quickly gauge a country vis--vis others. Using econometric models which project fundamental economic dynamics within each country and across countries, latent demand estimates are created. This report does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The study also does not consider short-term cyclicalities that might affect realized sales. The study, therefore, is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved. This study does not report actual sales data (which are simply unavailable, in a comparable or consistent manner in virtually all of the countries in Europe). This study gives, however, my estimates for the latent demand, or the P.I.E. for aircraft maintenance, repair, and overhaul (mro) services in Europe. It also shows how the P.I.E. is divided across the national markets of Europe. For each country, I also show my estimates of how the P.I.E. grows over time (positive or negative growth). In order to make these estimates, a multi-stage methodology was employed that is often taught in courses on international strategic planning at graduate schools of business.

Table Of Contents:

1 INTRODUCTION 8
1.1 Overview 8
1.2 What is Latent Demand and the P.I.E.? 8
1.3 The Methodology 9
1.3.1 Step 1. Product Definition and Data Collection 11
1.3.2 Step 2. Filtering and Smoothing 12
1.3.3 Step 3. Filling in Missing Values 13
1.3.4 Step 4. Varying Parameter, Non-linear Estimation 13
1.3.5 Step 5. Fixed-Parameter Linear Estimation 14
1.3.6 Step 6. Aggregation and Benchmarking 14
1.3.7 Step 7. Latent Demand Density: Allocating Across Cities 14
2 EUROPE 16
2.1 Executive Summary 16
2.2 Albania 17
2.3 Andorra 18
2.4 Austria 18
2.5 Belarus 20
2.6 Belgium 21
2.7 Bosnia and Herzegovina 22
2.8 Bulgaria 23
2.9 Croatia 24
2.10 Cyprus 25
2.11 Czech Republic 25
2.12 Denmark 26
2.13 Estonia 27
2.14 Finland 28
2.15 France 29
2.16 Georgia 30
2.17 Germany 31
2.18 Greece 32
2.19 Hungary 33
2.20 Iceland 34
2.21 Ireland 35
2.22 Italy 35
2.23 Kazakhstan 36
2.24 Latvia 37
2.25 Liechtenstein 38
2.26 Lithuania 39
2.27 Luxembourg 39
2.28 Malta 40
2.29 Moldova 41
2.30 Monaco 41
2.31 Norway 42
2.32 Poland 43
2.33 Portugal 44
2.34 Romania 45
2.35 Russia 46
2.36 San Marino 47
2.37 Slovakia 47
2.38 Slovenia 48
2.39 Spain 49
2.40 Sweden 50
2.41 Switzerland 51
2.42 The Netherlands 52
2.43 The United Kingdom 53
2.44 Ukraine 54
2.45 Frequently Asked Questions (FAQ) 54
2.45.1 Category Definition 54
2.45.2 Units 55
2.45.3 Methodology 56
3 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 58
3.1 Disclaimers & Safe Harbor 58
3.2 Icon Group International, Inc. User Agreement Provisions 59

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