Aviation Analytics - Global ﾂ鮓ｹﾔｭｴｴ Outlook (2017-2026)

Publication ID:

SMRC0119050

Publication Date:

January 1, 2019

Pages:

160

Publisher:

Stratistics MRC

Countries:

Global [1]

USD 4,150.00

Machinery [2]

Aerospace [3]

Industry & Manufacturing [4]

Description:

The Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ is accounted for $2.47 billion in 2017 and is expected to reach $9.52 billion by 2026 growing at a CAGR of 16.2% during the forecast period. Increasing customer centricity in the aviation industry, high adoption rate of analytics in the aviation industry and increasing aviation passenger traffic are some key factors influencing the market growth. However, factors such as multiplicity of data models based on business needs and Lack of Appropriate Analytical Skills are inhibiting the market.

Aviation analytics is a computational technology which provides information or data of past airport operational data, weather forecast, historical flight data, and real-time flight data to the end users. The acceptance of the aviation analytics by most of the organizations is due to the truth that these solutions help them to expand their maintenance, operational performance, and profitability. In order to provide the future demands such as the requirements of the customer, the organizations are adopting aviation analytics, which offers to get better analytical resolutions and also helps in maximizing the operating revenue of the organizations.

By Application, Revenue Management segment accounted for considerable market share in the global market. Revenue Management (RM) is the art and science of maximising revenue under variable conditions. Based on geography, Asia Pacific region is expected to register the highest market growth rate during the forecast period. The growth is due to increasing demand for advanced analytics which are cloud supported and cloud driven, has resulted in the augment in demand for analytics solutions in this region

Some of the key players in Aviation Analytics market include Mercator, General Electric, Booz Allen Hamilton Inc., SAP SE, Aviation Analytics Ltd, Oracle Corporation, IBM Corporation, Mu Sigma, SAS Institute Inc, Ramco Systems and DXC Technology.

Business Functions Covered:
窶｢ Sales and ﾂ鮓ｹﾔｭｴｴing
窶｢ Operations
窶｢ Supply Chain
窶｢ Finance
窶｢ Maintenance and Repair

Components Covered:
窶｢ Software
窶｢ Service

Applications Covered:
窶｢ Revenue Management
窶｢ Inventory Management
窶｢ Flight Risk Management
窶｢ Customer Analytics
窶｢ Navigation Services
窶｢ Fuel Management

End Users Covered:
窶｢ Airlines
窶｢ Airports
窶｢ Other End Users

Regions Covered:
窶｢ North America
o US
o Canada
o Mexico
窶｢ Europe
o Germany
o France
o Italy
o UK
o Spain
o Rest of Europe
窶｢ Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
窶｢ South America
o Argentina
o Brazil
o Chile
o Rest of South America
窶｢ Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- ﾂ鮓ｹﾔｭｴｴ share assessments for the regional and country level segments
- Strategic recommendations for the new entrants
- ﾂ鮓ｹﾔｭｴｴ forecasts for a minimum of 9 years of all the mentioned segments, sub segments and the regional markets
- ﾂ鮓ｹﾔｭｴｴ Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic analysis: Drivers and Constraints, Product/Technology Analysis, Porter窶冱 five forces analysis, SWOT analysis etc.
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
窶｢ Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
窶｢ Regional Segmentation
o ﾂ鮓ｹﾔｭｴｴ estimations, Forecasts and CAGR of any prominent country as per the clients interest (Note: Depends of feasibility check)
窶｢ Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table Of Contents:

1 Executive Summary

2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions

3 ﾂ鮓ｹﾔｭｴｴ Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 End User Analysis
3.8 Emerging ﾂ鮓ｹﾔｭｴｴs
3.9 Futuristic ﾂ鮓ｹﾔｭｴｴ Scenario

4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ, By Business Function
5.1 Introduction
5.2 Sales and ﾂ鮓ｹﾔｭｴｴing
5.3 Operations
5.4 Supply Chain
5.5 Finance
5.6 Maintenance and Repair

6 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ, By Component
6.1 Introduction
6.2 Software
6.3 Service

7 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ, By Application
7.1 Introduction
7.2 Revenue Management
7.3 Inventory Management
7.4 Flight Risk Management
7.5 Customer Analytics
7.6 Navigation Services
7.7 Fuel Management

8 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ, By End User
8.1 Introduction
8.2 Airlines
8.3 Airports
8.4 Other End Users

9 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ, By Geography
9.1 Introduction
9.2 North America
9.2.1 US
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 UK
9.3.3 Italy
9.3.4 France
9.3.5 Spain
9.3.6 Rest of Europe
9.4 Asia Pacific
9.4.1 Japan
9.4.2 China
9.4.3 India
9.4.4 Australia
9.4.5 New Zealand
9.4.6 South Korea
9.4.7 Rest of Asia Pacific
9.5 South America
9.5.1 Argentina
9.5.2 Brazil
9.5.3 Chile
9.5.4 Rest of South America
9.6 Middle East & Africa
9.6.1 Saudi Arabia
9.6.2 UAE
9.6.3 Qatar
9.6.4 South Africa
9.6.5 Rest of Middle East & Africa

10 Key Developments
10.1 Agreements, Partnerships, Collaborations and Joint Ventures
10.2 Acquisitions & Mergers
10.3 New Product Launch
10.4 Expansions
10.5 Other Key Strategies

11 Company Profiling
11.1 Mercator
11.2 General Electric
11.3 Booz Allen Hamilton Inc.
11.4 SAP SE
11.5 Aviation Analytics Ltd
11.6 Oracle Corporation
11.7 IBM Corporation
11.8 Mu Sigma
11.9 SAS Institute Inc
11.10 Ramco Systems
11.11 DXC Technology

List of Tables
Table 1 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Region (2016-2026) (US $MN)
Table 2 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Business Function (2016-2026) (US $MN)
Table 3 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Sales and ﾂ鮓ｹﾔｭｴｴing (2016-2026) (US $MN)
Table 4 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Operations (2016-2026) (US $MN)
Table 5 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Supply Chain (2016-2026) (US $MN)
Table 6 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Finance (2016-2026) (US $MN)
Table 7 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Maintenance and Repair (2016-2026) (US $MN)
Table 8 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Component (2016-2026) (US $MN)
Table 9 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Software (2016-2026) (US $MN)
Table 10 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Service (2016-2026) (US $MN)
Table 11 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Application (2016-2026) (US $MN)
Table 12 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Revenue Management (2016-2026) (US $MN)
Table 13 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Inventory Management (2016-2026) (US $MN)
Table 14 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Flight Risk Management (2016-2026) (US $MN)
Table 15 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Customer Analytics (2016-2026) (US $MN)
Table 16 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Navigation Services (2016-2026) (US $MN)
Table 17 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Fuel Management (2016-2026) (US $MN)
Table 18 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By End User (2016-2026) (US $MN)
Table 19 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Airlines (2016-2026) (US $MN)
Table 20 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Airports (2016-2026) (US $MN)
Table 21 Global Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Other End Users (2016-2026) (US $MN)
Table 22 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Country (2016-2026) (US $MN)
Table 23 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Business Function (2016-2026) (US $MN)
Table 24 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Sales and ﾂ鮓ｹﾔｭｴｴing (2016-2026) (US $MN)
Table 25 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Operations (2016-2026) (US $MN)
Table 26 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Supply Chain (2016-2026) (US $MN)
Table 27 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Finance (2016-2026) (US $MN)
Table 28 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Maintenance and Repair (2016-2026) (US $MN)
Table 29 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Component (2016-2026) (US $MN)
Table 30 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Software (2016-2026) (US $MN)
Table 31 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Service (2016-2026) (US $MN)
Table 32 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Application (2016-2026) (US $MN)
Table 33 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Revenue Management (2016-2026) (US $MN)
Table 34 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Inventory Management (2016-2026) (US $MN)
Table 35 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Flight Risk Management (2016-2026) (US $MN)
Table 36 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Customer Analytics (2016-2026) (US $MN)
Table 37 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Navigation Services (2016-2026) (US $MN)
Table 38 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Fuel Management (2016-2026) (US $MN)
Table 39 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By End User (2016-2026) (US $MN)
Table 40 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Airlines (2016-2026) (US $MN)
Table 41 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Airports (2016-2026) (US $MN)
Table 42 North America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Other End Users (2016-2026) (US $MN)
Table 43 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Country (2016-2026) (US $MN)
Table 44 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Business Function (2016-2026) (US $MN)
Table 45 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Sales and ﾂ鮓ｹﾔｭｴｴing (2016-2026) (US $MN)
Table 46 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Operations (2016-2026) (US $MN)
Table 47 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Supply Chain (2016-2026) (US $MN)
Table 48 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Finance (2016-2026) (US $MN)
Table 49 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Maintenance and Repair (2016-2026) (US $MN)
Table 50 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Component (2016-2026) (US $MN)
Table 51 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Software (2016-2026) (US $MN)
Table 52 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Service (2016-2026) (US $MN)
Table 53 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Application (2016-2026) (US $MN)
Table 54 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Revenue Management (2016-2026) (US $MN)
Table 55 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Inventory Management (2016-2026) (US $MN)
Table 56 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Flight Risk Management (2016-2026) (US $MN)
Table 57 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Customer Analytics (2016-2026) (US $MN)
Table 58 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Navigation Services (2016-2026) (US $MN)
Table 59 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Fuel Management (2016-2026) (US $MN)
Table 60 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By End User (2016-2026) (US $MN)
Table 61 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Airlines (2016-2026) (US $MN)
Table 62 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Airports (2016-2026) (US $MN)
Table 63 Europe Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Other End Users (2016-2026) (US $MN)
Table 64 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Country (2016-2026) (US $MN)
Table 65 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Business Function (2016-2026) (US $MN)
Table 66 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Sales and ﾂ鮓ｹﾔｭｴｴing (2016-2026) (US $MN)
Table 67 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Operations (2016-2026) (US $MN)
Table 68 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Supply Chain (2016-2026) (US $MN)
Table 69 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Finance (2016-2026) (US $MN)
Table 70 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Maintenance and Repair (2016-2026) (US $MN)
Table 71 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Component (2016-2026) (US $MN)
Table 72 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Software (2016-2026) (US $MN)
Table 73 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Service (2016-2026) (US $MN)
Table 74 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Application (2016-2026) (US $MN)
Table 75 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Revenue Management (2016-2026) (US $MN)
Table 76 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Inventory Management (2016-2026) (US $MN)
Table 77 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Flight Risk Management (2016-2026) (US $MN)
Table 78 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Customer Analytics (2016-2026) (US $MN)
Table 79 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Navigation Services (2016-2026) (US $MN)
Table 80 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Fuel Management (2016-2026) (US $MN)
Table 81 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By End User (2016-2026) (US $MN)
Table 82 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Airlines (2016-2026) (US $MN)
Table 83 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Airports (2016-2026) (US $MN)
Table 84 Asia Pacific Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Other End Users (2016-2026) (US $MN)
Table 85 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Country (2016-2026) (US $MN)
Table 86 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Business Function (2016-2026) (US $MN)
Table 87 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Sales and ﾂ鮓ｹﾔｭｴｴing (2016-2026) (US $MN)
Table 88 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Operations (2016-2026) (US $MN)
Table 89 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Supply Chain (2016-2026) (US $MN)
Table 90 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Finance (2016-2026) (US $MN)
Table 91 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Maintenance and Repair (2016-2026) (US $MN)
Table 92 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Component (2016-2026) (US $MN)
Table 93 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Software (2016-2026) (US $MN)
Table 94 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Service (2016-2026) (US $MN)
Table 95 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Application (2016-2026) (US $MN)
Table 96 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Revenue Management (2016-2026) (US $MN)
Table 97 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Inventory Management (2016-2026) (US $MN)
Table 98 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Flight Risk Management (2016-2026) (US $MN)
Table 99 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Customer Analytics (2016-2026) (US $MN)
Table 100 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Navigation Services (2016-2026) (US $MN)
Table 101 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Fuel Management (2016-2026) (US $MN)
Table 102 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By End User (2016-2026) (US $MN)
Table 103 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Airlines (2016-2026) (US $MN)
Table 104 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Airports (2016-2026) (US $MN)
Table 105 South America Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Other End Users (2016-2026) (US $MN)
Table 106 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Country (2016-2026) (US $MN)
Table 107 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Business Function (2016-2026) (US $MN)
Table 108 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Sales and ﾂ鮓ｹﾔｭｴｴing (2016-2026) (US $MN)
Table 109 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Operations (2016-2026) (US $MN)
Table 110 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Supply Chain (2016-2026) (US $MN)
Table 111 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Finance (2016-2026) (US $MN)
Table 112 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Maintenance and Repair (2016-2026) (US $MN)
Table 113 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Component (2016-2026) (US $MN)
Table 114 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Software (2016-2026) (US $MN)
Table 115 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Service (2016-2026) (US $MN)
Table 116 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Application (2016-2026) (US $MN)
Table 117 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Revenue Management (2016-2026) (US $MN)
Table 118 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Inventory Management (2016-2026) (US $MN)
Table 119 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Flight Risk Management (2016-2026) (US $MN)
Table 120 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Customer Analytics (2016-2026) (US $MN)
Table 121 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Navigation Services (2016-2026) (US $MN)
Table 122 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Fuel Management (2016-2026) (US $MN)
Table 123 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By End User (2016-2026) (US $MN)
Table 124 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Airlines (2016-2026) (US $MN)
Table 125 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Airports (2016-2026) (US $MN)
Table 126 Middle East & Africa Aviation Analytics ﾂ鮓ｹﾔｭｴｴ Outlook, By Other End Users (2016-2026) (US $MN)

Companies Mentioned:

Mercator
General Electric
Booz Allen Hamilton Inc.
SAP SE
Aviation Analytics Ltd
Oracle Corporation
IBM Corporation
Mu Sigma
SAS Institute Inc
Ramco Systems
DXC Technology

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