The Mobile money in emerging Asia–Pacific: trends and forecasts 2015–2020
Table of Contents
5.Executive summary
6.Executive summary
7.Recommendations
8.Mobile money in EMAP: Regional trends
9.Emerging Asia–Pacific: More than 580 million mobile money active users by 2020, mostly of advanced mobile wallets
10.Emerging Asia–Pacific: Revenue from mobile money will represent 1.2% of mobile service revenue in the region
11.Mobile money adoption drivers in EMAP: operators need to prepare for advanced wallets and e-commerce
12.Mobile money in EMAP: Country-level trends
13.Mobile money trends in EMAP
14.Challenging market conditions and weak service demand have limited the growth of operator-led mobile money initiatives in the region
15.Indonesia: Large population with low banking penetration makes Indonesia an attractive market for mobile payments
16.Indonesia: Competition from OTT players and bank-led initiatives will displace operator-led mobile money services
17.Malaysia: A challenging environment for operator-led mobile money initiatives has hindered adoption
18.Malaysia: High banking and card penetration have limited MSVA take-up, but represent an opportunity for AMWs
19.Philippines: operators have found moderate success in mobile money
20.Philippines: MSVA’s lack of traction will be offset by rapid adoption of advanced mobile wallets
21.Thailand: Financial institutions lead the mobile money market
22.Thailand: Limited user adoption and the regulatory focus on other payment mechanisms challenge operators’ MSVAs
23.Case studies
24.Case study: bKash
25.Case study: Globe’s Gcash
26.Case study: Indosat’s Dompetku
27.Case study: Telenor’s EasyPaisa
28.Forecast methodology and assumptions
29.Definition of geographical regions
30.Forecast methodology: Our model combines hard data and the key levers for mobile money services adoption in EMAP
31.Definitions and terminology
32.Forecast framework [1]: Main mobile money use cases
33.Forecast framework [2]: Mobile money service types
34.Forecast framework [3]: Mobile money competitive landscape
35.Forecast framework [4]: Dominant player
36.About the authors and Analysys Mason
37.About the authors
38.About Analysys Mason
39.Research from Analysys Mason
40.Consulting from Analysys Mason
List of Figures
Figure 1: Mobile money service adoption by type, and active users’ share of registered users, emerging Asia–Pacific, 2010–2020
Figure 2: Mobile money fee revenue by type of provider, emerging Asia–Pacific, 2010–2020
Figure 3: Mobile money service adoption by type, and active users’ share of registered users, emerging Asia–Pacific, 2010–2020
Figure 4: Mobile money fee revenue by type of provider, emerging Asia–Pacific, 2010–2020
Figure 5: Drivers of mobile money service adoption in emerging Asia–Pacific
Figure 6: Mobile money dynamics for Indonesia, Malaysia, the Philippines and Thailand, 2015 –2020
Figure 7: Overview of mobile money potential for operators in emerging Asia–Pacific by country
Figure 8: Drivers and inhibitors of mobile money adoption in Indonesia
Figure 9: Mobile money service adoption by type, and active users’ share of registered users, Indonesia, 2010–2020
Figure 10: Mobile money fee revenue by type of provider, Indonesia, 2010–2020
Figure 11: Drivers and inhibitors of mobile money adoption in Malaysia
Figure 12: Mobile money adoption by type of service, and active share of registered users, Malaysia, 2010–2020
Figure 13: Mobile money fee revenue by type of provider, Malaysia, 2010–2020
Figure 14: Drivers and inhibitors of mobile money adoption in Philippines
Figure 15: Mobile money service adoption by type, and active users’ share of registered users, Philippines, 2010–2020
Figure 16: Mobile money fee revenue by type of provider, Philippines, 2010–2020
Figure 17: Drivers and inhibitors of mobile money adoption in Thailand
Figure 18: Mobile money service adoption by type, and active users’ share of registered users, Thailand, 2010–2020
Figure 19: Mobile money fee revenue by type of provider, Thailand, 2010–2020
Figure 20: Regional breakdown used in this report (individually modelled countries are highlighted)
Figure 21: Mobile money services in emerging Asia–Pacific forecast methodology
Figure 22: Mobile money, main use cases with examples
Figure 23: Main types of mobile money services in emerging Asia–Pacific
Figure 24: Four dominant player regimes considered in this forecast
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