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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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SYS-CON Events announced today that Commvault, a global leader in enterprise data protection and information management, has been named “Bronze Sponsor” of SYS-CON's 18th International Cloud Expo, which will take place on June 7–9, 2016, at the Javits Center in New York City, NY, and the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Commvault is a leading provider of data protection and information management...
SYS-CON Events announced today that Alert Logic, Inc., the leading provider of Security-as-a-Service solutions for the cloud, will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. Alert Logic, Inc., provides Security-as-a-Service for on-premises, cloud, and hybrid infrastructures, delivering deep security insight and continuous protection for customers at a lower cost than traditional security solutions. Ful...
The cloud promises new levels of agility and cost-savings for Big Data, data warehousing and analytics. But it’s challenging to understand all the options – from IaaS and PaaS to newer services like HaaS (Hadoop as a Service) and BDaaS (Big Data as a Service). In her session at @BigDataExpo at @ThingsExpo, Hannah Smalltree, a director at Cazena, will provide an educational overview of emerging “as-a-service” options for Big Data in the cloud. This is critical background for IT and data profes...
SYS-CON Events announced today that VAI, a leading ERP software provider, will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. VAI (Vormittag Associates, Inc.) is a leading independent mid-market ERP software developer renowned for its flexible solutions and ability to automate critical business functions for the distribution, manufacturing, specialty retail and service sectors. An IBM Premier Business Part...
Fortunately, meaningful and tangible business cases for IoT are plentiful in a broad array of industries and vertical markets. These range from simple warranty cost reduction for capital intensive assets, to minimizing downtime for vital business tools, to creating feedback loops improving product design, to improving and enhancing enterprise customer experiences. All of these business cases, which will be briefly explored in this session, hinge on cost effectively extracting relevant data from ...
As enterprises work to take advantage of Big Data technologies, they frequently become distracted by product-level decisions. In most new Big Data builds this approach is completely counter-productive: it presupposes tools that may not be a fit for development teams, forces IT to take on the burden of evaluating and maintaining unfamiliar technology, and represents a major up-front expense. In his session at @BigDataExpo at @ThingsExpo, Andrew Warfield, CTO and Co-Founder of Coho Data, will dis...
With the Apple Watch making its way onto wrists all over the world, it’s only a matter of time before it becomes a staple in the workplace. In fact, Forrester reported that 68 percent of technology and business decision-makers characterize wearables as a top priority for 2015. Recognizing their business value early on, FinancialForce.com was the first to bring ERP to wearables, helping streamline communication across front and back office functions. In his session at @ThingsExpo, Kevin Roberts...
SYS-CON Events announced today that Interoute, owner-operator of one of Europe's largest networks and a global cloud services platform, has been named “Bronze Sponsor” of SYS-CON's 18th Cloud Expo, which will take place on June 7-9, 2015 at the Javits Center in New York, New York. Interoute is the owner-operator of one of Europe's largest networks and a global cloud services platform which encompasses 12 data centers, 14 virtual data centers and 31 colocation centers, with connections to 195 ad...
Eighty percent of a data scientist’s time is spent gathering and cleaning up data, and 80% of all data is unstructured and almost never analyzed. Cognitive computing, in combination with Big Data, is changing the equation by creating data reservoirs and using natural language processing to enable analysis of unstructured data sources. This is impacting every aspect of the analytics profession from how data is mined (and by whom) to how it is delivered. This is not some futuristic vision: it's ha...
WebRTC has had a real tough three or four years, and so have those working with it. Only a few short years ago, the development world were excited about WebRTC and proclaiming how awesome it was. You might have played with the technology a couple of years ago, only to find the extra infrastructure requirements were painful to implement and poorly documented. This probably left a bitter taste in your mouth, especially when things went wrong.
Learn how IoT, cloud, social networks and last but not least, humans, can be integrated into a seamless integration of cooperative organisms both cybernetic and biological. This has been enabled by recent advances in IoT device capabilities, messaging frameworks, presence and collaboration services, where devices can share information and make independent and human assisted decisions based upon social status from other entities. In his session at @ThingsExpo, Michael Heydt, founder of Seamless...
The IoT's basic concept of collecting data from as many sources possible to drive better decision making, create process innovation and realize additional revenue has been in use at large enterprises with deep pockets for decades. So what has changed? In his session at @ThingsExpo, Prasanna Sivaramakrishnan, Solutions Architect at Red Hat, discussed the impact commodity hardware, ubiquitous connectivity, and innovations in open source software are having on the connected universe of people, thi...
WebRTC: together these advances have created a perfect storm of technologies that are disrupting and transforming classic communications models and ecosystems. In his session at WebRTC Summit, Cary Bran, VP of Innovation and New Ventures at Plantronics and PLT Labs, provided an overview of this technological shift, including associated business and consumer communications impacts, and opportunities it may enable, complement or entirely transform.
For manufacturers, the Internet of Things (IoT) represents a jumping-off point for innovation, jobs, and revenue creation. But to adequately seize the opportunity, manufacturers must design devices that are interconnected, can continually sense their environment and process huge amounts of data. As a first step, manufacturers must embrace a new product development ecosystem in order to support these products.
There are so many tools and techniques for data analytics that even for a data scientist the choices, possible systems, and even the types of data can be daunting. In his session at @ThingsExpo, Chris Harrold, Global CTO for Big Data Solutions for EMC Corporation, showed how to perform a simple, but meaningful analysis of social sentiment data using freely available tools that take only minutes to download and install. Participants received the download information, scripts, and complete end-t...
Manufacturing connected IoT versions of traditional products requires more than multiple deep technology skills. It also requires a shift in mindset, to realize that connected, sensor-enabled “things” act more like services than what we usually think of as products. In his session at @ThingsExpo, David Friedman, CEO and co-founder of Ayla Networks, discussed how when sensors start generating detailed real-world data about products and how they’re being used, smart manufacturers can use the dat...
When it comes to IoT in the enterprise, namely the commercial building and hospitality markets, a benefit not getting the attention it deserves is energy efficiency, and IoT’s direct impact on a cleaner, greener environment when installed in smart buildings. Until now clean technology was offered piecemeal and led with point solutions that require significant systems integration to orchestrate and deploy. There didn't exist a 'top down' approach that can manage and monitor the way a Smart Buildi...