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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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IoT offers a value of almost $4 trillion to the manufacturing industry through platforms that can improve margins, optimize operations & drive high performance work teams. By using IoT technologies as a foundation, manufacturing customers are integrating worker safety with manufacturing systems, driving deep collaboration and utilizing analytics to exponentially increased per-unit margins. However, as Benoit Lheureux, the VP for Research at Gartner points out, “IoT project implementers often ...
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In his general session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed cloud as a ‘better data center’ and how it adds new capacity (faster) and improves application availability (redundancy). The cloud is a ‘Dynamic Tool for Dynamic Apps’ and resource allocation is an integral part of your application architecture, so use only the resources you need and allocate /de-allocate resources on the fly.
CenturyLink has announced that application server solutions from GENBAND are now available as part of CenturyLink’s Networx contracts. The General Services Administration (GSA)’s Networx program includes the largest telecommunications contract vehicles ever awarded by the federal government. CenturyLink recently secured an extension through spring 2020 of its offerings available to federal government agencies via GSA’s Networx Universal and Enterprise contracts. GENBAND’s EXPERiUS™ Application...
Connected devices and the industrial internet are growing exponentially every year with Cisco expecting 50 billion devices to be in operation by 2020. In this period of growth, location-based insights are becoming invaluable to many businesses as they adopt new connected technologies. Knowing when and where these devices connect from is critical for a number of scenarios in supply chain management, disaster management, emergency response, M2M, location marketing and more. In his session at @Th...
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to imp...
The idea of comparing data in motion (at the sensor level) to data at rest (in a Big Data server warehouse) with predictive analytics in the cloud is very appealing to the industrial IoT sector. The problem Big Data vendors have, however, is access to that data in motion at the sensor location. In his session at @ThingsExpo, Scott Allen, CMO of FreeWave, discussed how as IoT is increasingly adopted by industrial markets, there is going to be an increased demand for sensor data from the outermos...
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life sett...
IoT is rapidly changing the way enterprises are using data to improve business decision-making. In order to derive business value, organizations must unlock insights from the data gathered and then act on these. In their session at @ThingsExpo, Eric Hoffman, Vice President at EastBanc Technologies, and Peter Shashkin, Head of Development Department at EastBanc Technologies, discussed how one organization leveraged IoT, cloud technology and data analysis to improve customer experiences and effi...
There are several IoTs: the Industrial Internet, Consumer Wearables, Wearables and Healthcare, Supply Chains, and the movement toward Smart Grids, Cities, Regions, and Nations. There are competing communications standards every step of the way, a bewildering array of sensors and devices, and an entire world of competing data analytics platforms. To some this appears to be chaos. In this power panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, Bradley Holt, Developer Advocate a...
In addition to all the benefits, IoT is also bringing new kind of customer experience challenges - cars that unlock themselves, thermostats turning houses into saunas and baby video monitors broadcasting over the internet. This list can only increase because while IoT services should be intuitive and simple to use, the delivery ecosystem is a myriad of potential problems as IoT explodes complexity. So finding a performance issue is like finding the proverbial needle in the haystack.
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, wh...
The cloud market growth today is largely in public clouds. While there is a lot of spend in IT departments in virtualization, these aren’t yet translating into a true “cloud” experience within the enterprise. What is stopping the growth of the “private cloud” market? In his general session at 18th Cloud Expo, Nara Rajagopalan, CEO of Accelerite, explored the challenges in deploying, managing, and getting adoption for a private cloud within an enterprise. What are the key differences between wh...
Basho Technologies has announced the latest release of Basho Riak TS, version 1.3. Riak TS is an enterprise-grade NoSQL database optimized for Internet of Things (IoT). The open source version enables developers to download the software for free and use it in production as well as make contributions to the code and develop applications around Riak TS. Enhancements to Riak TS make it quick, easy and cost-effective to spin up an instance to test new ideas and build IoT applications. In addition to...
When people aren’t talking about VMs and containers, they’re talking about serverless architecture. Serverless is about no maintenance. It means you are not worried about low-level infrastructural and operational details. An event-driven serverless platform is a great use case for IoT. In his session at @ThingsExpo, Animesh Singh, an STSM and Lead for IBM Cloud Platform and Infrastructure, will detail how to build a distributed serverless, polyglot, microservices framework using open source tec...