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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 Vitria Technology, Inc. will exhibit at SYS-CON’s @ThingsExpo, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Vitria will showcase the company’s new IoT Analytics Platform through live demonstrations at booth #330. Vitria’s IoT Analytics Platform, fully integrated and powered by an operational intelligence engine, enables customers to rapidly build and operationalize advanced analytics to deliver timely business outcomes for use cases across the industrial, enterprise, and consumer segments.
SYS-CON Events announced today that Open Data Centers (ODC), a carrier-neutral colocation provider, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place June 9-11, 2015, at the Javits Center in New York City, NY. Open Data Centers is a carrier-neutral data center operator in New Jersey and New York City offering alternative connectivity options for carriers, service providers and enterprise customers.
When it comes to the Internet of Things, hooking up will get you only so far. If you want customers to commit, you need to go beyond simply connecting products. You need to use the devices themselves to transform how you engage with every customer and how you manage the entire product lifecycle. In his session at @ThingsExpo, Sean Lorenz, Technical Product Manager for Xively at LogMeIn, will show how “product relationship management” can help you leverage your connected devices and the data they generate about customer usage and product performance to deliver extremely compelling and reliabl...
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @ThingsExpo, Michael Sick, a Senior Manager and Big Data Architect within Ernst and Young's Financial Servi...
The IoT market is projected to be $1.9 trillion tidal wave that’s bigger than the combined market for smartphones, tablets and PCs. While IoT is widely discussed, what not being talked about are the monetization opportunities that are created from ubiquitous connectivity and the ensuing avalanche of data. While we cannot foresee every service that the IoT will enable, we should future-proof operations by preparing to monetize them with extremely agile systems.
There’s Big Data, then there’s really Big Data from the Internet of Things. IoT is evolving to include many data possibilities like new types of event, log and network data. The volumes are enormous, generating tens of billions of logs per day, which raise data challenges. Early IoT deployments are relying heavily on both the cloud and managed service providers to navigate these challenges. Learn about IoT, Big Data and deployments processing massive data volumes from wearables, utilities and other machines.
SYS-CON Events announced today that CodeFutures, a leading supplier of database performance tools, has been named a “Sponsor” of SYS-CON's 16th International Cloud Expo®, which will take place on June 9–11, 2015, at the Javits Center in New York, NY. CodeFutures is an independent software vendor focused on providing tools that deliver database performance tools that increase productivity during database development and increase database performance and scalability during production.
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @ThingsExpo, Michael Sick, a Senior Manager and Big Data Architect within Ernst and Young's Financial Servi...
“In the past year we've seen a lot of stabilization of WebRTC. You can now use it in production with a far greater degree of certainty. A lot of the real developments in the past year have been in things like the data channel, which will enable a whole new type of application," explained Peter Dunkley, Technical Director at Acision, in this SYS-CON.tv interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
SYS-CON Events announced today that Intelligent Systems Services will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Established in 1994, Intelligent Systems Services Inc. is located near Washington, DC, with representatives and partners nationwide. ISS’s well-established track record is based on the continuous pursuit of excellence in designing, implementing and supporting nationwide clients’ mission-critical systems. ISS has completed many successful projects in Healthcare, Commercial, Manufacturing, ...
PubNub on Monday has announced that it is partnering with IBM to bring its sophisticated real-time data streaming and messaging capabilities to Bluemix, IBM’s cloud development platform. “Today’s app and connected devices require an always-on connection, but building a secure, scalable solution from the ground up is time consuming, resource intensive, and error-prone,” said Todd Greene, CEO of PubNub. “PubNub enables web, mobile and IoT developers building apps on IBM Bluemix to quickly add scalable realtime functionality with minimal effort and cost.”
The major cloud platforms defy a simple, side-by-side analysis. Each of the major IaaS public-cloud platforms offers their own unique strengths and functionality. Options for on-site private cloud are diverse as well, and must be designed and deployed while taking existing legacy architecture and infrastructure into account. Then the reality is that most enterprises are embarking on a hybrid cloud strategy and programs. In this Power Panel at 15th Cloud Expo (http://www.CloudComputingExpo.com), moderated by Ashar Baig, Research Director, Cloud, at Gigaom Research, Nate Gordon, Director of T...
Sensor-enabled things are becoming more commonplace, precursors to a larger and more complex framework that most consider the ultimate promise of the IoT: things connecting, interacting, sharing, storing, and over time perhaps learning and predicting based on habits, behaviors, location, preferences, purchases and more. In his session at @ThingsExpo, Tom Wesselman, Director of Communications Ecosystem Architecture at Plantronics, will examine the still nascent IoT as it is coalescing, including what it is today, what it might ultimately be, the role of wearable tech, and technology gaps stil...
DevOps tends to focus on the relationship between Dev and Ops, putting an emphasis on the ops and application infrastructure. But that’s changing with microservices architectures. In her session at DevOps Summit, Lori MacVittie, Evangelist for F5 Networks, will focus on how microservices are changing the underlying architectures needed to scale, secure and deliver applications based on highly distributed (micro) services and why that means an expansion into “the network” for DevOps.
With several hundred implementations of IoT-enabled solutions in the past 12 months alone, this session will focus on experience over the art of the possible. Many can only imagine the most advanced telematics platform ever deployed, supporting millions of customers, producing tens of thousands events or GBs per trip, and hundreds of TBs per month. With the ability to support a billion sensor events per second, over 30PB of warm data for analytics, and hundreds of PBs for an data analytics archive, in his session at @ThingsExpo, Jim Kaskade, Vice President and General Manager, Big Data & Ana...
For years, we’ve relied too heavily on individual network functions or simplistic cloud controllers. However, they are no longer enough for today’s modern cloud data center. Businesses need a comprehensive platform architecture in order to deliver a complete networking suite for IoT environment based on OpenStack. In his session at @ThingsExpo, Dhiraj Sehgal from PLUMgrid will discuss what a holistic networking solution should really entail, and how to build a complete platform that is scalable, secure, agile and automated.
We’re no longer looking to the future for the IoT wave. It’s no longer a distant dream but a reality that has arrived. It’s now time to make sure the industry is in alignment to meet the IoT growing pains – cooperate and collaborate as well as innovate. In his session at @ThingsExpo, Jim Hunter, Chief Scientist & Technology Evangelist at Greenwave Systems, will examine the key ingredients to IoT success and identify solutions to challenges the industry is facing. The deep industry expertise behind this presentation will provide attendees with a leading edge view of rapidly emerging IoT oppor...