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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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Big Data engines are powering a lot of service businesses right now. Data is collected from users from wearable technologies, web behaviors, purchase behavior as well as several arbitrary data points we’d never think of. The demand for faster and bigger engines to crunch and serve up the data to services is growing exponentially. You see a LOT of correlation between “Cloud” and “Big Data” but on Big Data and “Hybrid,” where hybrid hosting is the sanest approach to the Big Data Infrastructure pro...
"My role is working with customers, helping them go through this digital transformation. I spend a lot of time talking to banks, big industries, manufacturers working through how they are integrating and transforming their IT platforms and moving them forward," explained William Morrish, General Manager Product Sales at Interoute, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
A critical component of any IoT project is what to do with all the data being generated. This data needs to be captured, processed, structured, and stored in a way to facilitate different kinds of queries. Traditional data warehouse and analytical systems are mature technologies that can be used to handle certain kinds of queries, but they are not always well suited to many problems, particularly when there is a need for real-time insights.
The best-practices for building IoT applications with Go Code that attendees can use to build their own IoT applications. In his session at @ThingsExpo, Indraneel Mitra, Senior Solutions Architect & Technology Evangelist at Cognizant, provided valuable information and resources for both novice and experienced developers on how to get started with IoT and Golang in a day. He also provided information on how to use Intel Arduino Kit, Go Robotics API and AWS IoT stack to build an application tha...
IoT generates lots of temporal data. But how do you unlock its value? You need to discover patterns that are repeatable in vast quantities of data, understand their meaning, and implement scalable monitoring across multiple data streams in order to monetize the discoveries and insights. Motif discovery and deep learning platforms are emerging to visualize sensor data, to search for patterns and to build application that can monitor real time streams efficiently. In his session at @ThingsExpo, ...
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
Extracting business value from Internet of Things (IoT) data doesn’t happen overnight. There are several requirements that must be satisfied, including IoT device enablement, data analysis, real-time detection of complex events and automated orchestration of actions. Unfortunately, too many companies fall short in achieving their business goals by implementing incomplete solutions or not focusing on tangible use cases. In his general session at @ThingsExpo, Dave McCarthy, Director of Products...
WebRTC is bringing significant change to the communications landscape that will bridge the worlds of web and telephony, making the Internet the new standard for communications. Cloud9 took the road less traveled and used WebRTC to create a downloadable enterprise-grade communications platform that is changing the communication dynamic in the financial sector. In his session at @ThingsExpo, Leo Papadopoulos, CTO of Cloud9, discussed the importance of WebRTC and how it enables companies to focus...
Amazon has gradually rolled out parts of its IoT offerings in the last year, but these are just the tip of the iceberg. In addition to optimizing their back-end AWS offerings, Amazon is laying the ground work to be a major force in IoT – especially in the connected home and office. Amazon is extending its reach by building on its dominant Cloud IoT platform, its Dash Button strategy, recently announced Replenishment Services, the Echo/Alexa voice recognition control platform, the 6-7 strategic...
Verizon Communications Inc. (NYSE, Nasdaq: VZ) and Yahoo! Inc. (Nasdaq: YHOO) have entered into a definitive agreement under which Verizon will acquire Yahoo's operating business for approximately $4.83 billion in cash, subject to customary closing adjustments. Yahoo informs, connects and entertains a global audience of more than 1 billion monthly active users** -- including 600 million monthly active mobile users*** through its search, communications and digital content products. Yahoo also co...
"There's a growing demand from users for things to be faster. When you think about all the transactions or interactions users will have with your product and everything that is between those transactions and interactions - what drives us at Catchpoint Systems is the idea to measure that and to analyze it," explained Leo Vasiliou, Director of Web Performance Engineering at Catchpoint Systems, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York Ci...
SYS-CON Events announced today that LeaseWeb USA, a cloud Infrastructure-as-a-Service (IaaS) provider, will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. LeaseWeb is one of the world's largest hosting brands. The company helps customers define, develop and deploy IT infrastructure tailored to their exact business needs, by combining various kinds cloud solutions.
Is your aging software platform suffering from technical debt while the market changes and demands new solutions at a faster clip? It’s a bold move, but you might consider walking away from your core platform and starting fresh. ReadyTalk did exactly that. In his General Session at 19th Cloud Expo, Michael Chambliss, Head of Engineering at ReadyTalk, will discuss why and how ReadyTalk diverted from healthy revenue and over a decade of audio conferencing product development to start an innovati...
SYS-CON Events announced today that Venafi, the Immune System for the Internet™ and the leading provider of Next Generation Trust Protection, will exhibit at @DevOpsSummit at 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Venafi is the Immune System for the Internet™ that protects the foundation of all cybersecurity – cryptographic keys and digital certificates – so they can’t be misused by bad guys in attacks...
It’s 2016: buildings are smart, connected and the IoT is fundamentally altering how control and operating systems work and speak to each other. Platforms across the enterprise are networked via inexpensive sensors to collect massive amounts of data for analytics, information management, and insights that can be used to continuously improve operations. In his session at @ThingsExpo, Brian Chemel, Co-Founder and CTO of Digital Lumens, will explore: The benefits sensor-networked systems bring to ...