Understanding the demand growth for digital connectivity
Tommy van der Vorst
Senior researcher/consultant Dialogic +31 655543708 vandervorst@dialogic.nl June 19th, 2018
digital connectivity Tommy van der Vorst Senior - - PowerPoint PPT Presentation
Understanding the demand growth for digital connectivity Tommy van der Vorst Senior researcher/consultant Dialogic +31 655543708 vandervorst@dialogic.nl June 19th, 2018 How much bandwidth will consumers demand over the next decade? 2
Tommy van der Vorst
Senior researcher/consultant Dialogic +31 655543708 vandervorst@dialogic.nl June 19th, 2018
2
3
10.000 100.000 1.000.000 10.000.000 TB per month Year
Incoming traffic volume at the AMS-IX
Predicted (CAGR=40,2% over the period 2007-2017) Average incoming traffic volume per month (TB)
4
5
6
7
1,0 6,0 11,0 16,0 21,0 26,0 31,0 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Traffic volume compared to 2013
Forecasted growth of aggregate traffic volume
Downstream (CAGR=41,5%) Upstream (CAGR=44,9%)
8
50 100 150 200 250 300 350 400 450 2016 2017 2018 2019 2020 2021 2022 Provisioned speed (Mbit/s)
Year
Forecasted development of the average sufficient provisioned speed Downstream (CAGR: 40,5%) Upstream (CAGR: 44,1%)
9
0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Upstream / downstream traffic
10
11 Current quality (MB/hr) Current intensity (hr/hr) Current adoption (%) Future quality (MB/hr) Future intensity (hr/hr) Future adoption (%) Future aggregate daily average volume (MB/day) Currently required advertised speed (Mbit/s) Future required advertised speed (Mbit/s) Urgency model Urgency model For each user group: Current daily total average volume (MB/day) Future daily average volume for service category (MB/day) Distinguish service categories Regression x Adoption curve fitting Regression Regression 3 4 5 6 7 9 8 Future aggregate daily average volume (MB/day) Current daily average volume for service category (MB/day) / ∑ Extrapolation (historical CAGR of aggregate volume) 2 Residual Δ H1 H2 H3 Distinguish user groups 1 For each service category:
12
4.000 6.000 8.000 10.000 12.000 14.000 16.000 18.000 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Downstream demand (Mbyte/day)
Forecasted downstream traffic demand by service category
Other services Consultative web browsing Remote workplace File downloads Personal cloud storage Social media / Web 2.0 Online video and music (streaming and P2P) Overhead Residual
13
14
“n/N people watch X hours of Netflix per day at full-HD resolution”
15
16
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 0% 20% 40% 60% 80% 100% % of total daily upstream traffic volume Users (from high to low daily upstream traffic volume)
17
1 10 100 1.000 10.000 100.000 1.000.000 2014 2015 2016 2017 2018 2019 2020 2021 2022 Average traffic per subscription (Mbyte/day) Year
Estimated downstream demand growth per user group
Power users Innovators Mainstream users Laggards
18
19
Stream or download? Centralize or decentralize? Cache or recompute?
20
Cost Compactness Performance Coverage/availability Latency Jitter …
21
1975 1995 2015 Processor speed (MHz) Cheaper 1955 1975 1995 2015 GB/inch2 1990 2000 2010 Latency (ms) 1970 1990 2010 # Transistors / processor 1980 2000 Download speed (bps) 1998 2008 Price per Mbps ($) 10-8 10-19 104 10-1 102 10 106 10 109 10 103 10-6 1010 103 102 10-3 Faster More compact Storage Processing Transmission 0,01 1 100 10000 1000000 1980 2000 Price per GB ($) 1975 1995 2015 Cost of a processor cycle ($) Spectral efficiency (bits/Hz/site) 1970 1980 1990 2000 2010 2020
22
23
24
25
Supply growth (connectivity) Residual? Demand growth explained by existing service categories Adoption growth Quality growth Usage intensity growth
Time
26
27
Tommy van der Vorst (vandervorst@dialogic.nl)
June 19th, 2018
Hooghiemstraplein 33 – 36 3515 AX Utrecht +31 30 215 0580 +31 30 215 0595 info@dialogic.nl dialogic.nl/en