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Global Airports Information Systems Market (2013 - 2018)

NEW YORK, Feb. 11, 2013 /PRNewswire/ --Reportlinker.com announces that a new market research report is available in its catalogue:

Global Airports Information Systems Market (2013 – 2018)
http://www.reportlinker.com/p01098137/Global-Airports-Information-Systems-Market-2013-–-2018.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Airport

The report on AIS deals with the Airport Information Systems (AIS) which mainly focuses on the end to end information exchange processes including the arrival and departure of flights, operational fitness check, cargo operations and aircraft turn around. The study also focuses on Airport Operational Control Centre (AOCC) which acts as the focal point of information exchange. This market is highly growing due to the need for an optimized control center in airports to meet the increase in air traffic ratio. The study is done on a global basis which includes the segmentation of the market based on the passenger traffic in various airports and also according to geography. Primary interviews have been conducted with various industry participants to get insights about the market. The major industry players include Inform Software, Siemens, Gentrack Ltd, Ikusi, Neuropie, UFIS Airport Solutions, Arinc and IBM.

Key Take-Aways

Airport Information Systems is a huge market with high growth potential
The market size for AIS is expected to be $421.78 million in 2018
There are eight major market players in the world in this market who are mainly located in US and Europe
Apart from the major players AIS market is supported by unorganized players who provide ancillary systems to complete the functions of Airport Operations Control Centre
The market is expected to grow at a CAGR of 6% during the period 2013-2018

MARKETS COVERED

Market Segmentation is done on the basis of geography and airport class based on passenger traffic.

On the basis of Geography

This market is segmented on the basis of region wise split.

On the basis airport class

The market is segmented on the basis of airports. AIS systems in airports having more than 30 million passengers fall under class A, airports having 20-30 million passengers fall under class B. The airports having passenger number between 10-20 million and 4-10 million come under class C and class D respectively.

On the basis of Geography

Geography is classified into North America, Europe, Africa, Asia-Pacific (APAC), and South America.

STAKEHOLDERS

Software Providers
Passengers
Cargo Carriers
Government
Airlines
Airports
Airport Staff

TABLE OF CONTENTS

1 INTRODUCTION 16

1.1 KEY TAKE-AWAYS 16
1.2 REPORT DESCRIPTION 16
1.3 MARKETS COVERED 17
1.3.1 MARKETS COVERED BY GEOGRAPHY 18
1.3.2 MARKETS COVERED BY PAX TRAFFIC 19
1.4 STAKEHOLDERS 20
1.5 RESEARCH METHODOLOGY 20
1.5.1 MARKET SIZE 20
1.5.2 KEY POINTS FROM PRIMARY SOURCES 21
1.5.3 KEY POINTS FROM SECONDARY SOURCES 21

2 EXECUTIVE SUMMARY 22

3 MARKET OVERVIEW 24

3.1 MARKET DEFINITION – COMMERCIAL AIRPORTS INFORMATION SYSTEMS MARKET 24
3.2 AIRPORT INFORMATION SYSTEMS 24
3.3 A-CDM (AIRPORT COLLABORATIVE DECISION MAKING) 24
3.4 AOCC – AIRPORT OPERATIONAL CONTROL CENTRE 25
3.5 FUNCTION OF AOCC 26
3.6 STRUCTURE OF AOCC 27
3.7 RULES & STANDARDS FOR AIS 28
3.8 MARKET SEGMENTATION BY PAX TRAFFIC 28
3.8.1 CLASS A (>30M) 29
3.8.2 CLASS B (20-30M) 29
3.8.3 CLASS C (10-20M) 29
3.8.4 CLASS D (
<10M) 29>3.9 MARKET SEGMENTATION BY GEOGRAPHY 30

4 MARKET DYNAMICS 32

4.1 DRIVERS 32
4.1.1 PAX TRAFFIC RATIO 32
4.1.2 OPTIMAL ASSET USAGE 33
4.1.3 IMPROVISATION IN OPERATIONAL PLANNING BY AIRPORTS 33
4.1.4 INCREASE IN SAFETY OPERATIONS AT AIRPORTS 33
4.1.5 IMPROVEMENTS IN END TO END CUSTOMER SERVICE AT AIRPORTS 34
4.2 RESTRAINTS 35
4.2.1 SLOW ECONOMIC GROWTH 35
4.2.2 RESOURCE OUTAGES 35
4.3 CHALLENGES 36
4.3.1 CAPACITY DROPS AT AIRPORTS 36
4.3.2 LACK OF CO-ORDINATION 37
4.3.3 LACK OF INTEGRATION 37
4.3.4 LACK OF STANDARDIZATION 37

5 TECHNOLOGY ROADMAP 38

5.1 INTEGRATION OF AIS (A-CDM APPROACH AND SETTING UP OF AOCC) 38
5.2 DECENTRALIZATION OF AIS 39

6 ANALYSIS 41

6.1 PASSENGER TRAFFIC STATISTICS 41
6.2 MARKET ANALYSIS IN TERMS OF REVENUE 52
6.3 MARKET SEGMENTATION IN TERMS OF AIRPORTS (CLASS A, B, C, D) 54
6.4 MARKET SEGMENTATION IN TERMS OF GEOGRAPHY 63
6.5 YEAR ON YEAR ANALYSIS OF MARKET SIZE 85
6.6 NEW MARKET OPPORTUNITIES 125

7 SCENARIO ANALYSIS 132

7.1 FACTORS CONSIDERED FOR SCENARIO ANALYSIS 132
7.1.1 CHANGE IN THE PASSENGER TRAFFIC RATIO 132
7.1.2 INFLATION 132
7.1.3 ECONOMIC RECESSION 132

8 COMPETITIVE LANDSCAPE 134

8.1 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, REGION WISE CONCENTRATION OF AIS SOFTWARE PROVIDERS, 2012 134
8.2 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SHARES OF THE AIS SOFTWARE PROVIDERS, 2012 135

9 COMPANY PROFILES 136

9.1 ARINC INCORPORATED 136
9.2 GENTRACK LTD 138
9.3 IBM 140
9.4 IKUSI 142
9.5 INFORM SOFTWARE SERVICES 145
9.6 NEUROPIE 147
9.7 SIEMENS 149
9.8 UFIS AIRPORT SOLUTIONS 151
9.9 OTHER PLAYERS 153

APPENDIX 154

- REFERENCES 154

LIST OF TABLES

TABLE 1 GLOBAL COMMERCIAL AIRPORTS INFORMATION SYSTEMS MARKET, REVENUE SPLIT IN TERMS OF CLASS OF AIRPORTS,
2013 – 2018 ($MILLION) 22
TABLE 2 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET, YOY% OF GROWTH IN TERMS OF CLASS OF AIRPORTS, BY GEOGRAPHY,
2013 – 2018 ($MILLION) 23
TABLE 3 APAC, PASSENGER TRAFFIC IN CLASS A AIRPORTS, YOY CHANGE,
2008 – 2018 (MILLION) 41
TABLE 4 EUROPE, PASSENGER TRAFFIC IN CLASS A AIRPORTS, YOY CHANGE, 2008 – 2018 (MILLION) 41
TABLE 5 NA, PASSENGER TRAFFIC IN CLASS A AIRPORTS, YOY CHANGE,
2008 – 2018 (MILLION) 42
TABLE 6 APAC, PASSENGER TRAFFIC IN CLASS B AIRPORTS, YOY CHANGE,
2008 – 2018 (MILLION) 43
TABLE 7 EUROPE, PASSENGER TRAFFIC IN CLASS B AIRPORTS, YOY CHANGE, 2008 – 2018 (MILLION) 43
TABLE 8 NA, PASSENGER TRAFFIC IN CLASS B AIRPORTS, YOY CHANGE,
2008 – 2018 (MILLION) 44
TABLE 9 SA, PASSENGER TRAFFIC IN CLASS B AIRPORTS, YOY CHANGE,
2008 – 2018 (MILLION) 44
TABLE 10 APAC, PASSENGER TRAFFIC IN CLASS C AIRPORTS, YOY CHANGE,
2008 – 2018 (MILLION) 46
TABLE 11 EUROPE, PASSENGER TRAFFIC IN CLASS C AIRPORTS, YOY CHANGE, 2008 – 2018 (MILLION) 46
TABLE 12 NA, PASSENGER TRAFFIC IN CLASS C AIRPORTS, YOY CHANGE,
2008 – 2018 (MILLION) 46
TABLE 13 AFRICA, PASSENGER TRAFFIC IN CLASS C AIRPORTS, YOY CHANGE, 2008 – 2018 (MILLION) 47
TABLE 14 SA, PASSENGER TRAFFIC IN CLASS C AIRPORTS, YOY CHANGE,
2008 – 2018 (MILLION) 47
TABLE 15 APAC, PASSENGER TRAFFIC IN CLASS D AIRPORTS, YOY CHANGE,
2008 – 2018 (MILLION) 49
TABLE 16 EUROPE, PASSENGER TRAFFIC IN CLASS D AIRPORTS, YOY CHANGE, 2008 – 2018 (MILLION) 49
TABLE 17 NA, PASSENGER TRAFFIC IN CLASS D AIRPORTS, YOY CHANGE,
2008 – 2018 (MILLION) 49
TABLE 18 AFRICA, PASSENGER TRAFFIC IN CLASS D AIRPORTS, YOY CHANGE, 2008 – 2018 (MILLION) 50
TABLE 19 SA, PASSENGER TRAFFIC IN CLASS D AIRPORTS, YOY CHANGE,
2008 – 2018 (MILLION) 50
TABLE 20 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET, REVENUE FOR CLASS A AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 55
TABLE 21 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET, REVENUE FOR CLASS B AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 57
TABLE 22 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET, REVENUE FOR CLASS C AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 59
TABLE 23 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET, REVENUE FOR CLASS D AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 61
TABLE 24 AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 63
TABLE 25 APAC, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 64
TABLE 26 APAC, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 65
TABLE 27 APAC, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 66
TABLE 28 APAC, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 67
TABLE 29 EUROPE, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A, B, C, D AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 68
TABLE 30 EUROPE, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A AIRPORTS, 2013 – 2018 ($MILLION) 69
TABLE 31 EUROPE, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 70
TABLE 32 EUROPE, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 71
TABLE 33 EUROPE, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 72
TABLE 34 AFRICA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A, B, C, D AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 73
TABLE 35 AFRICA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 74
TABLE 36 AFRICA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 75
TABLE 37 NA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A, B, C, D AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 76
TABLE 38 NA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A AIRPORTS,
YOY CHANGE, 2013 – 2018 ($MILLION) 77
TABLE 39 NA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B AIRPORTS,
YOY CHANGE, 2013 - 2018 ($MILLION) 78
TABLE 40 NA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS,
YOY CHANGE, 2013 – 2018 ($MILLION) 79
TABLE 41 NA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS,
YOY CHANGE, 2013 – 2018 ($MILLION) 80
TABLE 42 SA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A, B, C, D AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 81
TABLE 43 SA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B AIRPORTS,
YOY CHANGE, 2013 – 2018 ($MILLION) 82
TABLE 44 SA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS,
YOY CHANGE, 2013 – 2018 ($MILLION) 83
TABLE 45 SA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS,
YOY CHANGE, 2013 – 2018 ($MILLION) 84
TABLE 46 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, REVENUE FORECAST UNDER M&M, OPTIMISTIC & PESSIMISTIC SCENARIOS,
2013 – 2018 ($MILLION) 133

LIST OF FIGURES

FIGURE 1 GLOBAL COMMERCIAL AIRPORTS INFORMATION SYSTEMS MARKET, MARKET SEGMENTATION, 2013 – 2018 17
FIGURE 2 GLOBAL COMMERCIAL AIRPORTS INFORMATION SYSTEMS MARKET, MARKET SEGMENTATION IN TERMS OF GEOGRAPHY, 2013 – 2018 18
FIGURE 3 GLOBAL COMMERCIAL AIRPORTS INFORMATION SYSTEMS MARKET, MARKET SEGMENTATION IN TERMS OF AIRPORT CLASS BASED ON PASSENGER TRAFFIC, 2013 – 2018 19
FIGURE 4 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET,
DEFINITION OF AOCC 25
FIGURE 5 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET,
FUNCTION OF AOCC 26
FIGURE 6 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET,
STRUCTURE OF AOCC 27
FIGURE 7 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET, MARKET SEGMENTATION BY PASSENGER TRAFFIC BASED ON AIRPORTS,
2013 – 2018 28
FIGURE 8 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET,
MARKET SEGMENTATION, BY GEOGRAPHY, 2013 – 2018 30
FIGURE 9 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET,
DRIVERS & RESTRAINTS, 2013 – 2018 32
FIGURE 10 GLOBAL COMMERCIAL AVIATION AIRPORT INFORMATION SYSTEMS, PAX TRAFFIC RATIO IN LAKHS, (2002 – 2012) 33
FIGURE 11 IMPACT ANALYSIS FOR DRIVERS 34
FIGURE 12 IMPACT ANALYSIS FOR RESTRAINTS 35
FIGURE 13 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET, CHALLENGES, 2013 – 2018 36
FIGURE 14 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET,
TECHNOLOGY ROADMAP, 2013 – 2018 38
FIGURE 15 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET,
INTEGRATING SYSTEMS 39
FIGURE 16 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, PHYSICAL AOCC 40
FIGURE 17 GLOBAL COMMERCIAL AIRPORTS INFORMATION SYSTEMS MARKET, PROJECTED NUMBER OF PASSENGER TRAFFIC CLASS A AIRPORTS, 2008 – 2018 (MILLION) 42
FIGURE 18 GLOBAL COMMERCIAL AIRPORTS INFORMATION SYSTEMS MARKET, PROJECTED NUMBER OF PASSENGER TRAFFIC CLASS B AIRPORTS, 2008 – 2018 (MILLION) 45
FIGURE 19 GLOBAL COMMERCIAL AIRPORTS INFORMATION SYSTEMS MARKET, PROJECTED NUMBER OF PASSENGER TRAFFIC CLASS C AIRPORTS, 2008 – 2018 (MILLION) 48
FIGURE 20 GLOBAL COMMERCIAL AIRPORTS INFORMATION SYSTEMS MARKET, PROJECTED NUMBER OF PASSENGER TRAFFIC CLASS D AIRPORTS, 2008 – 2018 (MILLION) 51
FIGURE 21 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE, 2013 – 2018 ($MILLION) 52
FIGURE 22 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET, GROWTH IN TERMS OF CAGR, 2013 – 2018 53
FIGURE 23 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF DIFFERENT CLASSES OF AIRPORTS, 2013 – 2018 ($MILLION) 54
FIGURE 24 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET, REVENUE FOR CLASS A AIRPORTS, 2013 – 2018 ($MILLION) 56
FIGURE 25 AIRPORTS INFORMATION SYSTEMS MARKET, REVENUE FOR CLASS B AIRPORTS, 2013 – 2018 ($MILLION) 58
FIGURE 26 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET, REVENUE FOR CLASS C AIRPORTS, 2013 – 2018 ($MILLION) 60
FIGURE 27 GLOBAL AIRPORTS INFORMATION SYSTEMS MARKET, REVENUE FOR CLASS D AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 62
FIGURE 28 APAC, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A, B, C, D AIRPORTS, 2013 – 2018 ($MILLION) 63
FIGURE 29 APAC, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A AIRPORTS, 2013 – 2018 ($MILLION) 64
FIGURE 30 APAC, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B AIRPORTS, 2013 – 2018 ($MILLION) 65
FIGURE 31 APAC, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS, 2013 – 2018 ($MILLION) 66
FIGURE 32 APAC, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS, 2013 – 2018 ($MILLION) 67
FIGURE 33 EUROPE, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A, B,C, D AIRPORTS, 2013 – 2018 ($MILLION) 68
FIGURE 34 EUROPE, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A AIRPORTS, YOY CHANGE, 2013 – 2018 ($MILLION) 69
FIGURE 35 EUROPE, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B AIRPORTS, 2013 – 2018 ($MILLION) 70
FIGURE 36 EUROPE, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS, 2013 – 2018 ($MILLION) 71
FIGURE 37 EUROPE, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS, 2013 – 2018 ($MILLION) 72
FIGURE 38 AFRICA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A, B,C,D AIRPORTS, 2013 – 2018 ($MILLION) 73
FIGURE 39 AFRICA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS, 2013 – 2018 ($MILLION) 74
FIGURE 40 AFRICA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS, 2013 – 2018 ($MILLION) 75
FIGURE 41 NA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A, B, C, D AIRPORTS, 2013 – 2018 ($MILLION) 76
FIGURE 42 NA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A AIRPORTS, 2013 – 2018 ($MILLION) 77
FIGURE 43 NA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B AIRPORTS, 2013 – 2018 ($MILLION) 78
FIGURE 44 NA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS, 2013 – 2018 ($MILLION) 79
FIGURE 45 NA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS, 2013 – 2018 ($MILLION) 80
FIGURE 46 SA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B, C, D AIRPORTS, 2013 – 2018 ($MILLION) 81
FIGURE 47 SA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B AIRPORTS, 2013 – 2018 ($MILLION) 82
FIGURE 48 SA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS, 2013 – 2018 ($MILLION) 83
FIGURE 49 SA, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS, 2013 – 2018 ($MILLION) 84
FIGURE 50 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A, B, C, D AIRPORTS, 2011 ($MILLION) 85
FIGURE 51 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A AIRPORTS, 2011 ($MILLION) 86
FIGURE 52 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B AIRPORTS, 2011 ($MILLION) 87
FIGURE 53 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS, 2011 ($MILLION) 88
FIGURE 54 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS, 2011 ($MILLION) 89
FIGURE 55 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A, B, C, D AIRPORTS, 2012 ($MILLION) 90
FIGURE 56 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A AIRPORTS, 2012 ($MILLION) 91
FIGURE 57 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B AIRPORTS, 2012 ($MILLION) 92
FIGURE 58 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS, 2012 ($MILLION) 93
FIGURE 59 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS, 2012 ($MILLION) 94
FIGURE 60 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A, B, C, D AIRPORTS, 2013 ($MILLION) 95
FIGURE 61 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A AIRPORTS, 2013 ($MILLION) 96
FIGURE 62 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B AIRPORTS, 2013 ($MILLION) 97
FIGURE 63 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS, 2013 ($MILLION) 98
FIGURE 64 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS, 2013 ($MILLION) 99
FIGURE 65 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A, B, C, D AIRPORTS, 2014 ($MILLION) 100
FIGURE 66 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A AIRPORTS, 2014 ($MILLION) 101
FIGURE 67 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B AIRPORTS, 2014 ($MILLION) 102
FIGURE 68 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS, 2014 ($MILLION) 103
FIGURE 69 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS, 2014 ($MILLION) 104
FIGURE 70 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A, B, C, D AIRPORTS, 2015 ($MILLION) 105
FIGURE 71 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A AIRPORTS, 2015 ($MILLION) 106
FIGURE 72 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B AIRPORTS, 2015 ($MILLION) 107
FIGURE 73 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS, 2015 ($MILLION) 108
FIGURE 74 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS, 2015 ($MILLION) 109
FIGURE 75 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A, B, C, D AIRPORTS, 2016 ($MILLION) 110
FIGURE 76 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A AIRPORTS, 2016 ($MILLION) 111
FIGURE 77 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B AIRPORTS, 2016 ($MILLION) 112
FIGURE 78 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS, 2016 ($MILLION) 113
FIGURE 79 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS, 2016 ($MILLION) 114
FIGURE 80 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A, B, C, D AIRPORTS, 2017 ($MILLION) 115
FIGURE 81 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A AIRPORTS, 2017 ($MILLION) 116
FIGURE 82 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B AIRPORTS, 2017 ($MILLION) 117
FIGURE 83 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS, 2017 ($MILLION) 118
FIGURE 84 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS, 2017 ($MILLION) 119
FIGURE 85 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A, B, C, D AIRPORTS, 2018 ($MILLION) 120
FIGURE 86 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS A AIRPORTS, 2018 ($MILLION) 121
FIGURE 87 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS B AIRPORTS, 2018 ($MILLION) 122
FIGURE 88 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS C AIRPORTS, 2018 ($MILLION) 123
FIGURE 89 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SIZE IN TERMS OF REVENUE FOR CLASS D AIRPORTS, 2018 ($MILLION) 124
FIGURE 90 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, NEW OPPORTUNITIES IN DIFFERENT CLASSES OF AIRPORTS A, B, C, D, 2013 – 2018 ($MILLION) 125
FIGURE 91 APAC, NEW OPPORTUNITIES IN DIFFERENT CLASSES OF AIRPORTS A, B, C, D, 2013 – 2018 ($MILLION) 126
FIGURE 92 EUROPE, NEW OPPORTUNITIES IN DIFFERENT CLASSES OF AIRPORTS A, B, C, D, 2013 – 2018 ($MILLION) 127
FIGURE 93 AFRICA, NEW OPPORTUNITIES IN DIFFERENT CLASSES OF AIRPORTS A, B, C, D, 2013 – 2018 ($MILLION) 128
FIGURE 94 NA, NEW OPPORTUNITIES, BY MARKET PENETRATION IN DIFFERENT CLASSES OF AIRPORTS A, B, C, D, 2013 – 2018 ($MILLION) 129
FIGURE 95 SA, NEW OPPORTUNITIES, BY MARKET PENETRATION IN DIFFERENT CLASSES OF AIRPORTS A, B, C, D, 2013-2018 ($MILLION) 130
FIGURE 96 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, HIGHEST POTENTIAL GROWTH CLASS, IN TERMS OF NEW OPPORTUNITIES, 2013 – 2018 ($MILLION) 131
FIGURE 97 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, REVENUE FORECAST UNDER M&M, OPTIMISTIC & PESSIMISTIC SCENARIOS, 2013 – 2018 ($MILLION) 133
FIGURE 98 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, REGION WISE CONCENTRATION OF AIS SOFTWARE PROVIDERS, 2012 134
FIGURE 99 GLOBAL AIRPORT INFORMATION SYSTEMS MARKET, MARKET SHARES OF THE AIS SOFTWARE PROVIDERS, 2012 135

To order this report:
Airport Industry:
Global Airports Information Systems Market (2013 – 2018)

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"IBM is really all in on blockchain. We take a look at sort of the history of blockchain ledger technologies. It started out with bitcoin, Ethereum, and IBM evaluated these particular blockchain technologies and found they were anonymous and permissionless and that many companies were looking for permissioned blockchain," stated René Bostic, Technical VP of the IBM Cloud Unit in North America, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Conventi...
Large industrial manufacturing organizations are adopting the agile principles of cloud software companies. The industrial manufacturing development process has not scaled over time. Now that design CAD teams are geographically distributed, centralizing their work is key. With large multi-gigabyte projects, outdated tools have stifled industrial team agility, time-to-market milestones, and impacted P&L stakeholders.
"Cloud Academy is an enterprise training platform for the cloud, specifically public clouds. We offer guided learning experiences on AWS, Azure, Google Cloud and all the surrounding methodologies and technologies that you need to know and your teams need to know in order to leverage the full benefits of the cloud," explained Alex Brower, VP of Marketing at Cloud Academy, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clar...
Widespread fragmentation is stalling the growth of the IIoT and making it difficult for partners to work together. The number of software platforms, apps, hardware and connectivity standards is creating paralysis among businesses that are afraid of being locked into a solution. EdgeX Foundry is unifying the community around a common IoT edge framework and an ecosystem of interoperable components.
"MobiDev is a software development company and we do complex, custom software development for everybody from entrepreneurs to large enterprises," explained Alan Winters, U.S. Head of Business Development at MobiDev, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Coca-Cola’s Google powered digital signage system lays the groundwork for a more valuable connection between Coke and its customers. Digital signs pair software with high-resolution displays so that a message can be changed instantly based on what the operator wants to communicate or sell. In their Day 3 Keynote at 21st Cloud Expo, Greg Chambers, Global Group Director, Digital Innovation, Coca-Cola, and Vidya Nagarajan, a Senior Product Manager at Google, discussed how from store operations and ...
"There's plenty of bandwidth out there but it's never in the right place. So what Cedexis does is uses data to work out the best pathways to get data from the origin to the person who wants to get it," explained Simon Jones, Evangelist and Head of Marketing at Cedexis, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
SYS-CON Events announced today that CrowdReviews.com has been named “Media Sponsor” of SYS-CON's 22nd International Cloud Expo, which will take place on June 5–7, 2018, at the Javits Center in New York City, NY. CrowdReviews.com is a transparent online platform for determining which products and services are the best based on the opinion of the crowd. The crowd consists of Internet users that have experienced products and services first-hand and have an interest in letting other potential buye...
SYS-CON Events announced today that Telecom Reseller has been named “Media Sponsor” of SYS-CON's 22nd International Cloud Expo, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. Telecom Reseller reports on Unified Communications, UCaaS, BPaaS for enterprise and SMBs. They report extensively on both customer premises based solutions such as IP-PBX as well as cloud based and hosted platforms.
It is of utmost importance for the future success of WebRTC to ensure that interoperability is operational between web browsers and any WebRTC-compliant client. To be guaranteed as operational and effective, interoperability must be tested extensively by establishing WebRTC data and media connections between different web browsers running on different devices and operating systems. In his session at WebRTC Summit at @ThingsExpo, Dr. Alex Gouaillard, CEO and Founder of CoSMo Software, presented ...
WebRTC is great technology to build your own communication tools. It will be even more exciting experience it with advanced devices, such as a 360 Camera, 360 microphone, and a depth sensor camera. In his session at @ThingsExpo, Masashi Ganeko, a manager at INFOCOM Corporation, introduced two experimental projects from his team and what they learned from them. "Shotoku Tamago" uses the robot audition software HARK to track speakers in 360 video of a remote party. "Virtual Teleport" uses a multip...
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, whic...
SYS-CON Events announced today that Evatronix will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Evatronix SA offers comprehensive solutions in the design and implementation of electronic systems, in CAD / CAM deployment, and also is a designer and manufacturer of advanced 3D scanners for professional applications.
Leading companies, from the Global Fortune 500 to the smallest companies, are adopting hybrid cloud as the path to business advantage. Hybrid cloud depends on cloud services and on-premises infrastructure working in unison. Successful implementations require new levels of data mobility, enabled by an automated and seamless flow across on-premises and cloud resources. In his general session at 21st Cloud Expo, Greg Tevis, an IBM Storage Software Technical Strategist and Customer Solution Architec...
To get the most out of their data, successful companies are not focusing on queries and data lakes, they are actively integrating analytics into their operations with a data-first application development approach. Real-time adjustments to improve revenues, reduce costs, or mitigate risk rely on applications that minimize latency on a variety of data sources. In his session at @BigDataExpo, Jack Norris, Senior Vice President, Data and Applications at MapR Technologies, reviewed best practices to ...
An increasing number of companies are creating products that combine data with analytical capabilities. Running interactive queries on Big Data requires complex architectures to store and query data effectively, typically involving data streams, an choosing efficient file format/database and multiple independent systems that are tied together through custom-engineered pipelines. In his session at @BigDataExpo at @ThingsExpo, Tomer Levi, a senior software engineer at Intel’s Advanced Analytics gr...