ECONOMIC PERFORMANCE OF THE AIRLINE INDUSTRY: GLOBAL AND REGIONAL VIEW Roman Orlik, IATA November 17 INAIR 2017 Prague 1
ECONOMIC PERFORMANCE OF THE AIRLINE INDUSTRY: GLOBAL AND
REGIONAL VIEW
Roman Orlik, IATA
November 17INAIR 2017 Prague 1
TOP 10 Country pairs Additional x thousand pax per year by 2035 Annual % growth
1 UAE - India 20,319 6.3%
2 Mexico - US 18,858 3.0%
3 Korea - China 17,704 4.0%
4 Malaysia - Indonesia 16,560 6.7%
5 China - Taiwan 15,791 4.2%
6 Saudi Arabia - UAE 14,532 7.7%
7 Thailand - China 13,610 3.9%
8 Hong Kong, SAR - Chinese Taipei 13,275 5.5%
9 Canada - US 13,084 2.2%
10 Singapore - Indonesia 12,800 5.7%
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Varied outlook within Emerging Europe (1)
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4.8%
3.7%
3.0%
2.9%
2.8%
2.1%
0% 1% 2% 3% 4% 5%
Turkey
Czech Republic
Hungary
Russia
Poland
Romania
Average passenger growth rate (2016-2036, % CAGR)
Varied outlook within Emerging Europe (2)
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77
77
27
15
13
11
196
138
48
22
26
21
0 25 50 75 100 125 150 175 200
Turkey
Russia
Poland
Romania
Czech Republic
Hungary
2016 2036
Million O-D passenger journeys (to, from and within)
Aviation impact on economy� Direct: the output and employment of the firms in the aviation sector.
� Indirect: the output and employment supported through the aviation sector‟s Czech based supply
� Induced: employment and output supported by the spending of those directly or indirectly employed in the aviation sector
� Catalytic: spillover benefits associated with the aviation sector.
Connectivity as the key factor to economic performance
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Implications for airlines and key stakeholders
� Complex process – myriads of factors
� Data excess– correlation and causality issues
� Variable trends and external shocks
� Digitalization and customers behavior change
� Transparency – pricing, fees, duties
Complexity
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Areas revenue management must consider
� Data collection and analysis
� Protection, forecast and optimization process
� KPI set up and forecast validation ( SLF on highest levels: above 80% except Africa)
� Revenue management vs commercial view paradigm– Human machines
� Market segmentation
� Distribution channels efficiency
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Data sources
� Own database – historical data
� Market intelligence – different form of reports (PEST analysis)
� Industry economic data ( macro) – OECD, Eurostat, WTO
� Business intelligence products
� PAXIS – BSP data only ( book to travel)
� DDS – the PAXIS upgrade with direct sales information
� Airs@t – marketing database
� MIDT different methodology
� OAG – schedules
� Flight global stats – aircraft history, all leasing data, schedules ect
� WATS economic database and reports
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Customers – what they want and how to keep them loyal
� Ticket price – 45% weight in Africa, 30% in Asia, where schedule seems
to be more important
� No surprise that for 46% leisure pax the price is critical compared to
28% for C-class pax, who, naturally, prefer the schedule and
punctuality.
� Gender split: price - ( 43% women vs 34% men), schedule ( women
13% vs 17% men)
� Airs@t respondents age: the older pax are the less price sensitive ( 47%
for 18-24 years old vs 30% 55-64 category) and more comfort
demanding they appear to be ( 13% vs 24% ).
� And what is the least important?.
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Technology adoption and innovations� Self service - Booking process & NDC
� Fast travel program
� Baggage RFID – full control of your baggage
� Big data – pros&cons
� Mobile services
� Biometrics
� Face recognition
� Flight updates
� Digital concierge
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