A collection of slides that I have built from desk research data and original data during the different projects that I have been doing. I have bundled them together in case they are useful for someone else.

1. Online marketing & technology
data points May 2016
Ged Carroll
renaissancechambara.jp

2. About presentation
Over time, I have had to compile data and visualise it based on
desk and primary research. I thought that these slides may be of
use to other people so have compiled them here. As I have time I
will update them with data. Each diagram has an accompanying
slide with an explanation where appropriate.

3. Platforms

4. DEC-97
MAY-98
OCT-98
MAR-99
AUG-99
JAN-00
JUN-00
NOV-00
APR-01
SEP-01
FEB-02
JUL-02
DEC-02
MAY-03
OCT-03
MAR-04
AUG-04
JAN-05
JUN-05
NOV-05
APR-06
SEP-06
FEB-07
JUL-07
DEC-07
MAY-08
OCT-08
MAR-09
AUG-09
JAN-10
JUN-10
NOV-10
APR-11
SEP-11
FEB-12
JUL-12
DEC-12
MAY-13
OCT-13
MAR-14
AUG-14
JAN-15
JUN-15
NOV-15
APR-16
Communications services adoption (active users)
Gmail active Users Hotmail / Live Yahoo! Mail Whatsapp WeChat QQ IM KakaoTalk LINE Facebook Messenger

5. Communications services adoption
Going through publicly declared data, I pulled together adoption
data across email providers and OTT messaging platforms.
Key watch outs on the data is that it’s largely self-declared and
active users is broad church. Usage data is also very important -
what does active really mean?
Regardless one can see that mobile devices became an accelerant
of adoption for newer services.

6. Platform numbers snapshot March 2016
(MAUs except*)
0 200 400 600 800 1000 1200 1400 1600 1800
4Chan
Airbnb
Facebook
Flickr
Google+
Instagram
LinkedIn
MySpace
Periscope
Pinterest
Reddit*
SnapChat
Twitter
WeChat
Sina Weibo
WhatsApp
YouTube*
Millions of Users
Millions of Users
Based on data collated by
Brandwatch

7. Chinese web platforms
0 100 200 300 400 500 600 700 800
WeChat
QQ
Taobao
Tencent Video
Baidu
Alipay
Weibo
iQiyi
QQ Browser
Kugou Music
Data Quest Mobile (March2016)
Millions of MAUs (monthly active users)

8. Global search advertising revenue
0
10
20
30
40
50
60
70
80
90
100
2014 2015 2016
Searchrevenue billions (USD)
Google Baidu Microsoft (Bing) Yahoo! Sohu Other
eMarketer March, 2016

9. App Constellations
0
10
20
30
40
50
60
70
Daum Kakao
Corp
Dropbox Facebook Google LINE (Naver
Japan)
Microsoft Naver (Korea) Netease Tencent
‘Mobile apps that share a single loginand have app-to-applinking built in’ – Fred
Wilson, Union Square Ventures
2014 2016
Data: renaissancechambara.jp April 2014, April 2016 – audit of Apple iTunes app store

10. YouTube subcribers don’t often make for
regular viewers
0 10 20 30 40 50 60 70 80 90
GoPro
Home Depot
Chevrolet
Toyota USA
Adidas Football
Nike Football
Dove
Chanel
Burberry
Delta Airlines
Virgin America
Oreo
Chipotle
Xbox
Budweiser
Starbucks
Kentucky Fried Chicken (KFC)
Mastercard
Visa
Lego
Average views / Subcribers x 100(%)
Forrester Research

11. Unique ads observed by vertical
0 5 10 15 20 25 30 35
Automotive
Active wear
Beauty
Beverages
Consumer electronics
CPG
Fashion
Financial services
Food
Insurance
Personal care
Retail
Travel
Watches & jewelery
Instagram (%)
0 5 10 15 20 25
Automotive
Active wear
Beauty
Beverages
Consumer electronics
CPG
Fashion
Financial services
Food
Insurance
Personal care
Retail
Travel
Watches & jewelery
Snapchat (%)
L2 ‘Instagram vs. Snapchat’ report

12. Snapchat usage by gender
0
10
20
30
40
50
60
YouGov BrandIndex Survey
% Male millennial respondents
% Female millennial respondents
• Prompted recall of Snapchat
usage rather than off-app data
• Change in women likely due to
surge of fashion bloggers and
celebrities looking to cash in
on brand interest

13. Snapchat user behaviour
0 20 40 60 80
Snap/stories from people you know
Chat with people you know
Snap/stories from celebrities
Snap/stories from people you…
Snap/stories from brands (not…
Discover stories
Chat with people you don't know
Live stories (local and events)
% surveyed who used feature at least
daily, if not more
% surveyed who used feature at least daily, if not more
US-based survey (18-24 year
olds) by Defy Media for Variety
magazine
Sample size 1,117 respondents

14. Snapchat user behaviour
0 10 20 30 40 50 60
Buzzfeed
Comedy Central
iHeart Radio
Food Network
ESPN
People
Cosmopolitan
CNN
National Geographic
IGN
Daily Mail
sweet
Vice
Mashable
Tastemade
Vox
Fusion
Refinery 29
WSJ
None
Which Discover stories do you usually
view? (%)
Which Discover stories do you usually view? (%)
0 10 20 30 40 50 60 70
Messaging friends
Short videos
Keeping up with celebrities
Entertainment news
Current news events
Snapchat is my primary source for…
(%)
Snapchat is my primary source for… (%)

15. Facebook interaction rates by industry
0 0.5 1 1.5 2 2.5 3 3.5 4
Retailing
Media & entertainment
Travel
Automotive
Technology
Financial services
Facebook interactionrate (%) via Adobe Digital Index– US Best of the Best 2015
Total industry average Top performers

16. B2B social media engagement rates
0
5
10
15
20
25
30
35
40
Facebook Instagram LinkedIn Pinterest Twitter
B2B overall
B2B overall
Engagement rate defined as number
of interactions per post per 1,000
followers
Sample size 316 brands (I presume it
skews US-centric), research done by
TrackMaven in 2015
Watchouts: sample size, engagement
rate is partly platform design and
partly content. Engagement doesn’t
necessarily mean anything to do with
likely purchase

17. B2B social media engagement rates
0
5
10
15
20
25
30
35
40
45
50
Facebook engagementrate
Facebook engagement rate
0
5
10
15
20
25
30
35
40
45
50
Instagram engagementrate
Instagram engagement rate

18. B2B social media engagement rates
0
0.5
1
1.5
2
2.5
3
LinkedInengagement rate
LinkedIn engagement rate
0
10
20
30
40
50
60
70
80
Pinterest engagement rate
Pinterest engagement rate

19. B2B social media engagement rates
0
0.5
1
1.5
2
2.5
Twitter engagement rate
Twitter engagement rate

20. Social media engagement and
how television advertising
affects it

21. Social media engagement and television
Social engagement drivers (%)
TV advertising
Social platform advertising
Combined TV and social platform advertising
All other advertising
Social engagement drivers (%) minus
other advertising
Social platform advertising
TV advertising
Combined TV and social platform advertising
Turner & 4C: Television Advertising is a Key Driver of Social Media Engagement for Brands

22. Social media engagement and television
TV advertising impressions (%)
Premium content (sports,live and original) Non-premium content
% TV advertising impacton social
brand engagement
Premium content Non-premium content
Turner & 4C: Television Advertising is a Key Driver of Social Media Engagement for Brands

23. Engagement to impressions index
0 50 100 150 200 250
Premium content
Non-premium content
Engagement to impressions index
Engagement to impressions index
0 100 200 300 400
Original content
Sports
Live
Expressions to Impressions Index for
premium TV content types
Expressions to Impressions Index for premium TV content types
Turner & 4C: Television Advertising is a Key Driver of Social Media Engagement for Brands

24. Engagement to cost index
0 50 100 150 200
Premium content
Non-premium content
Engagement to cost index
Engagement to cost index
0 50 100 150 200 250 300
Original content
Sports
Live
Reaility
Expressions to ImpressionsIndex for
premium content types
Expressions to Impressions Index
Turner & 4C: Television Advertising is a Key Driver of Social Media Engagement for Brands

25. Advertising

26. Optimium number of advertising channels
• Careful channel selection
• Datapoint is contrary to the
trend towards complex
programmatic based
advertising mixes
0
10
20
30
40
50
60
70
80
1 channel 2 channels 3 channels 4 channels 5 channels
Average effectiveness successrate (IPA
2012)
Averageeffectiveness success rate

27. Audience time spent v. advertising spend
share
0
5
10
15
20
25
30
35
40
45
50
Television Out of Home (OOH) Radio Internet National newspaper Regional newspaper Magazines
% media time share % advertising spend share
Guardian Publishing Trends 2016 drawing on: AA, Barb, Rajar, ComScore, NRS, Jicreg

28. Audience time spent v. advertising spend
share - China
0
5
10
15
20
25
30
35
40
45
50
Mobile (non-voice) Desktop / laptop
computing
Television Radio Newspapers Magazines
% media time share % advertising spend share
eMarketer April 2016

29. Advertising spend trends
0
5
10
15
20
25
30
35
40
45
50
2014 2015 2016 2017 2018 2019 2020
Share of US advertisingspend
TV Digital Print Radio Out-of-home Directories
0
2
4
6
8
10
12
14
16
18
20
2014 2015 2016 2017 2018 2019 2020
Share of US advertisingspend for print
categories
Pinrt (overall) Newspapers (print only)
Magazines (print editions only) Directories (print only)
eMarketer.com March, 2016

30. Advertising spend trends
0
5
10
15
20
25
30
35
40
45
50
2014 2015 2016 2017 2018 2019 2020
Share of US advertisingspend for
digital channels
Digital Mobile
0
5
10
15
20
25
30
35
40
45
2014 2015 2016 2017 2018 2019 2020
Share of US advertisingspend for
broadcast categories
Television Radio (excluding catch-up and digital
eMarketer.com March, 2016

31. Ad targeting and ad blocking

32. Attitudes to ad-targeting by generation
0 10 20 30 40
It's about time advertisers
recognised that my generation
shops too
I am more likely to click on an
advertisement aimed specifically at
my generation
I feel like my generation is often
forgottenabout by advertisers
I am more likely to purchase a
product from a brand whose ad is
targeted specifically at my
generation
Millenial respondents (%)
Millenial respondents (%)
0 5 10 15 20 25 30 35
I am more likely to purchase a
product from a brand whose ad is
targeted specifically at my
generation
I am more likely to click on an
advert aimed specifically at my
generation
I feel like my generation is often
forgottenabout by advertisers
I am more likely to purchase a
product from a brand whose ad is
targeted specifically at my
generation
Boomer respondents (%)
Boomer respondents (%)
Audience Theory / Yahoo! Quantative November 2015 – Yahoo! /Ipsos Gen X Survey Adults 35-54 n=853 US based

33. Attitudes to ad-targeting by generation
0 10 20 30 40
It's about time advertisers
recognised that my generation
shops too
I am more likely to click on an
advertisement aimed specifically at
my generation
I feel like my generation is often
forgottenabout by advertisers
I am more likely to purchase a
product from a brand whose ad is
targeted specifically at my
generation
Generation-X respondents (%)
Generation-X respondents (%)
0 10 20 30 40 50
I am more likely to purchase a
product from a brand whose ad is
targeted specifically at my
generation
I am more likely to click on an
advert aimed specifically at my
generation
I feel like my generation is often
forgottenabout by advertisers
I am more likely to purchase a
product from a brand whose ad is
targeted specifically at my
generation
Generation-X parents respondents (%)
Generation-X parents respondents (%)
Audience Theory / Yahoo! Quantative November 2015 – Yahoo! /Ipsos Gen X Survey Adults 35-54 n=853 US based

34. Ad blocking software
0
20000000
40000000
60000000
80000000
100000000
120000000
140000000
160000000
180000000
200000000
Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15
Installed base of ad blockers
Installed base of ad blockers
Data from Pagefair & Adobe, 2015 Ad Blocking Report via Guardian Publishing Trends 2016. 800% growth in
user base over a 5 year period.

35. Internet users worldwide who have
blocked an advert
0
5
10
15
20
25
30
35
40
Q1 2015 Q2 2015 Q3 2015 Q4 2015
Respondents aged 16-64,in the past month on their main computer
(GlobalWebIndex Blog January 22 2016)
% respondents

36. Share of time spent viewing video content
in selected countries using ad blockers
0 10 20 30 40 50 60 70
Germany
Canada
UK
France
US
Russia
% of total time spent viewing desktop video content via JW Player (Q2, 2015)
% of total time spent viewing desktop video content
Secret Media & JW Player “Adblock & the Global Video Market September 14, 2015

37. Adblocker installed base by country
0 5 10 15 20 25 30 35
Turkey
Latvia
Spain
Canada
Denmark
Brazil (mid-point estimate)
Greece
Hungary
Netherlands
UK
Argentina
Czech Republic (mid-point estimate)
Germany
USA (mid-point estimate)
Chile
Italy (any device)
France (desktop)
Poland
Austria (any device)
% Users with adblocking installed
% Users with adblocking installed
Group M ‘Interaction 2016 report’ April 25, 2016

38. Page load times
0
5
10
15
20
25
30
35
40
45
Load time in seconds
Editoral content Advertising content
Guardian Publishing Trends 2016 drawing on analysis by comScore, Pew Research Center & New York Times

39. E-tailing

40. Global e-commerce
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
2013 2015 2016
Global e-commerce by value including
travel
Trillions USD
• Equivalent of 8% of global
retail sales
• CAGR 13.96% since 2013
• All platforms (mobile web, app
and desktop)
Data from Group M reports ‘Interaction 2015’ and ’Interaction 2016’

41. US e-tailing growth
0 10 20 30 40 50
Video games, consoles & accessories
Toys & hobbies
Sport & fitness
Jewelery & watches
Event tickets
Music, movies & videos
Flowers, greetings & misc gifts
Apparel & accessories
Home & garden
Furniture, appliances & equipment
Computer software
Books & magazines
Consumer electronics
Consumer packaged goods
Office supplies
Digital content & subscriptions
Computers & peripherals
year-on-year % change in total dollars
(US retailers only)
year-on-year % change in total dollars (US retailers only)
• Data from comScore (2016
U.S. Cross-Platform Future in
Focus)
• Markets being compared vary
in digital maturity and overall
growth rate – regardless of
channel

42. China – mobile music revenues
0
2
4
6
8
10
12
14
16
18
2013 2014 2015 2016 2017 2018
Billions of yuanAnalysys International ‘Q4 2015 China Music Market Report

43. Consumer behaviour

44. Share of content category time spent by
platform
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
comScore Media Metrix Multi-Platform US December,2015
Desktop Mobile

45. Growth in Digital Media Time Spent in Minutes
(MM)
0
200000
400000
600000
800000
1000000
1200000
1400000
1600000
Dec 2013 Dec 2014 Dec 2015
comScore Media Metrix Multi-Platform & Mobile Metrix US Dec 2015 vs. Dec 2014 vs. Dec 2013
Desktop Smartphone Tablet

46. Which app notifications users tune out
0 10 20 30 40 50 60 70 80 90
Shopping
Social networking
Finance
News
Food & drink
Data by Apptentive based on a panel of 7,000 mobile apps
% of users who interacted with notification sent via app

47. US Consumers’ most frequently-used
mobile app types
0
10
20
30
40
50
60
70
Smartphone
% respondents used app types frequently
0
5
10
15
20
25
30
35
40
45
Tablet
% respondents used app types frequently
Data from Deloitte via MarketingCharts.com

48. Generation X mobile engagement
0
20
40
60
80
100
120
140
160
7am-10am
11am-2pm
3pm-6pm7pm-10pm
11pm-6am
GenerationX time of day usage by category indexed vs. general population
News & Magazines Health & Fitness Lifestyle & Shopping Music, media & entertainment Games Messaging & Social Sports Utilities & Productivity
Flurry by Yahoo! Analytics
(mapped devices only. May
2015)

49. Global smartphone ownership
0
10
20
30
40
50
60
70
80
90
100
Data from Pew ResearchSpring 2015 Global Attitudes survey Q71 & Q72
% of survey respondents who claim to own a smartphone

50. US digital users 2014-2020
0
50
100
150
200
250
300
2014 2015 2016 2017 2018 2019 2020
Millions US internet users
Desktop / laptop only users Dual desktop / laptop and mobile internet users Mobile only internet users
eMarketer February, 2016

51. US TV multitasking behaviour
0 10 20 30 40 50 60
Browse & surf the web
Use a social network
Read email
Text message
Browse for products/services online
Play video games
Don't multitask - just watch TV
26-32 year olds 19-25 year olds 14-18 year olds
Data from MarketingCharts.com
via Deliotte from a behaviour
survey they had commissioned
in 2015
Watchouts: data is based on
recalled behaviour rather than
observation
Millennials

52. US TV multitasking behaviour
0 5 10 15 20 25 30 35
Browse & surf the web
Use a social network
Read email
Text message
Browse for products / services
online
Play video games
Don't multitask - just watch TV
GenerationX (33-49 year olds)
Generation X (33-49 year olds)
0 5 10 15 20 25 30
Browse & surf the web
Use a social network
Read email
Text message
Browse for products / services
online
Play video games
Don't multitask - just watch TV
Baby boomers (50-68year olds)
Baby boomers (50-68 year olds)

53. Reasons for shopping via mobile phone
amongst APAC internet users
0
10
20
30
40
50
60
70
80
Convenience Shopping can be done on-
the-go
More and more apps that
make it easy to shop online
Good way to pass time Common amongst friends
% of respondents
China Hong Kong Japan South Korea Taiwan
MasterCard ‘Mobile Shopping Survey 2016 Asia Pacific’ February 18, 2016

54. Average time spent with media/day by
Chinese adults
0
1
2
3
4
5
6
7
2012 2013 2014 2015 2016 2017
Time in hours
Digital TV (excluding digital) Radio (excluding digital) Print
0
0.5
1
1.5
2
2.5
3
3.5
2012 2013 2014 2015 2016 2017
Time in hours spent on digital media
Smartphone Tablet Feature phone Desktop / laptop computer

55. Chinese mobile use
-50 0 50 100 150 200 250 300
Photography
Health & Fitness
Travel & Navigation
Lifestyle & Shopping
Messaging & Social
Utilities & Productivity
Music, Media & Entertainment
Games
Data at Flurry Analytics
% incease (year-on-year)

56. Most often used payment methods by
Chinese netizens
0 10 20 30 40 50 60 70
Third-party online payment
Third-party mobile payment
E-bank
PoS machine
Mobile banking
WeChat bank
Pre-paid card payment
Researchfrom Tencent (2014)
% of netizens

57. Frequency with Which Chinese Smartphone
Users Use Mobile Payments for In-Store
Purchases
0 5 10 15 20 25 30 35 40 45 50
Only when I have a promotionaldiscount
Never
Always
Most of the time
Sometimes
Economist Corporate Network (ECN) / Admaster – The Road to Everywhere:The Omni-
Journey’ of the Chinese Consumer March16, 2016
% respondents

58. Chinese online population
0
10
20
30
40
50
60
70
2014 2015 2016 2017 2018 2019 2020
% populationonline (eMarketer,April 2016)
Male population online % Female population online % Overall population online %

59. China penetration of social media
platforms
0 10 20 30 40 50 60
2014
2015
% of Chinese internet users
% of Chinese internet users
0
10
20
30
40
50
60
70
80
16-25 26-35 36-45 46-55 >55
% of Chinese internet users by age
2014 2015
Source: China Internet Watch

60. China vs Worldwide Video Ad
Receptiveness
0 5 10 15 20 25 30 35
Live TV via TV set
On demand / connected TV - set-top box
Desktop/laptop
Smartphone
Tablet
Receptivityto video ads by channel / device – (AdReaction:Video Creative in a Digital
World Kantar Millward Brown/ OnDevice Research)
Worldwide China

61. Types of website on which Chinese
netizens surveyed pay attention
0 20 40 60 80 100
E-commerce sites
Search engines
Portalsites
Digital video sites
Social networks/blogs
Microblogs
Verticial sites
Gaming sites
Pay attention(%)
Pay attention (%)
0 10 20 30 40 50 60 70
E-commerce sites
Search engines
Portalsites
Digital video sites
Social networks/blogs
Microblogs
Vertical sites
Gaming sites
Click (%)
Click (%)
Via iResearch Consulting Group ‘2016 Report on China Internet Users Behaviors Toward Digital Advertising’ March 2016 n=1,604

62. Actions Chinese netizens likely to take when
they have good experience with brand /
company
0 10 20 30 40 50 60 70
Tell friends & family
Search online/offline to learn more…
Interact more with company/brand
Follow them on WeChat
Install their mobile app
Buy more, even if less costly…
Share the experience on social…
Post positivecomments online
Follow them on Weibo
Subscrible to their email…
Post comments on their social…
Contact them about the experience
Subscribe to the brand's video…
% respndents
% respndents
• Prompted response rather
than observation
• Tier 1 & 2 cities respondents
• 18-64 year olds
Epsilon ‘The Always-On Chinese Consumer Experience’ January
18, 2016

63. Japanese paid video viewing habits
0 10 20 30 40 50 60 70
Purchase / rent Blu -ray / DVD
Cable TV
Satellite TV (paid)
Paid OTT video services
Nielsen – Japan Video Contents & Ads Report April
14, 2016 n=2,000 ages 15+
% of respondents

64. Smartphones

65. Global mobile device units
0
200
400
600
800
1000
1200
1400
1600
2010 2011 2012 2013 2014 2015 2016
Sales units (millions)
units (millions) tablets units (millions) smartphones
Data: GfK/CTA Digital World via Consumer Technology Association ‘Technology World Tour’ by Steve Koenig January 2016

66. Global mobile device units
-50
0
50
100
150
200
250
300
2011 2012 2013 2014 2015 2016
Sales units (YoY % change)
units (YoY % change) tablets units (YoY % change) smartphones
Data: GfK/CTA Digital World via Consumer Technology Association ‘Technology World Tour’ by Steve Koenig January 2016

67. Global smartphone units by geography
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2010 2011 2012 2013 2014 2015 2016
Sales units (YoY % change)
Developed market (% units) Emerging markets (% units)
Data: GfK/CTA Digital World via Consumer Technology Association ‘Technology World Tour’ by Steve Koenig January 2016

68. Global tablet units by geography
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2010 2011 2012 2013 2014 2015 2016
Sales units (YoY % change)
Developed market (% units) Emerging markets (% units)
Data: GfK/CTA Digital World via Consumer Technology Association ‘Technology World Tour’ by Steve Koenig January 2016

69. Global mobile device ASP (USD)
0
100
200
300
400
500
600
700
800
2010 2011 2012 2013 2014 2015 2016
Average selling price
Tablet USD Smartphone USD
Data: GfK/CTA Digital World via Consumer Technology Association ‘Technology World Tour’ by Steve Koenig January 2016

70. Wearables

71. Wearables by category (millions of units)
0
20
40
60
80
100
120
140
160
180
200
2015 2016 2017
Fitness wearables Head mounted display Body worn camera Bluetooth headset

72. Fitness wearables (millions of units)
0
10
20
30
40
50
60
70
80
2015 2016 2017
Data by Gartner
Smartwatch Wristband Chest strap Sports watch Other fitness monitor

73. Wearables versus other mobile devices
(millions of units)
0 200 400 600 800 1000 1200 1400 1600
2015
2016
Smartphones (millions) units Tablets (millions) units Wearables (millions) units
Data: Gartner & GfK/CTA Digital World via Consumer Technology Association ‘Technology World Tour’ by Steve Koenig January 2016

74. Internet of Things

75. Countries with highest amount of IoT
devices / person
0 5 10 15 20 25 30 35 40
Korea
Denmark
Switzerland
US
Netherlands
Germany
Sweden
Spain
France
Portugal
Belgium
UK
Data from Shodan and OECD
Devices online per 100 people

76. Number of connected objects (global)
0
10
20
30
40
50
60
2012 2013 2014 2015 2016 2017 2018 2019 2020
Billions of connected objects
Billions of connected objects Data: Cisco

77. Economic data

78. Global technology sales (units)
6200
6300
6400
6500
6600
6700
6800
6900
2011 2012 2013 2014 2015 2016
units (millions)
units (millions)
Data: GfK/CTA Digital World via Consumer Technology Association ‘Technology World Tour’ by Steve Koenig January 2016

79. Global technology sales (units)
-5
-4
-3
-2
-1
0
1
2
3
4
5
2011 2012 2013 2014 2015 2016
YoY % change in units sold
YoY % change in units sold
Data: GfK/CTA Digital World via Consumer Technology Association ‘Technology World Tour’ by Steve Koenig January 2016

80. Global technology units sold by category
-100
-50
0
50
100
150
Unit % change
2014 YoY % 2015 YoY % 2016 YoY %
Data: GfK/CTA Digital World via Consumer Technology Association ‘Technology World Tour’ by Steve Koenig January 2016

81. Global technology sales revenue
900
920
940
960
980
1000
1020
1040
1060
2011 2012 2013 2014 2015 2016
Sales (billions USD)
USD (billions)
Data: GfK/CTA Digital World via Consumer Technology Association ‘Technology World Tour’ by Steve Koenig January 2016

82. Global technology sales (revenue)
geographic split
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2012 2013 2014 2015 2016
Revenue USD (% split)
Developed markets Developing markets
Data: GfK/CTA Digital World via Consumer Technology Association ‘Technology World Tour’ by Steve Koenig January 2016

83. Global technology sales (revenue)
geographic split
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2011 2012 2013 2014 2015 2016
Revenue USD (% split)
Developed Asia Western Europe Middle East & Africa Emerging Asia North America C&E Europe / CIS Latin America
Data: GfK/CTA Digital World via Consumer Technology Association ‘Technology World Tour’ by Steve Koenig January 2016

84. Global technology sales revenue (USD)
-10
-8
-6
-4
-2
0
2
4
6
8
10
2011 2012 2013 2014 2015 2016
YoY % change in sales revenue (USD)
YoY % change in sales revenue (USD)
Data: GfK/CTA Digital World via Consumer Technology Association ‘Technology World Tour’ by Steve Koenig January 2016

85. Economic data
-2
0
2
4
6
8
10
2012 2013 2014 2015 2016 2017
GDP Forecast (World Bank)
Global
China
U.S .
Eurozone
Developing World excluding BRICs
-3
-2
-1
0
1
2
3
4
5
6
2012 2013 2014 2015 2016 2017
Retail sales (various sources)
Global U.K. U.S. Eurozone

86. Consumer sectors CPG (as bellwether),
consumer technology as (former?) shooting
star
-5
-4
-3
-2
-1
0
1
2
2010 2011 2012 2013 2014
CPG % growth(Euromonitor data)
Packaged Foods Home Care Personal Care | Beauty
-20
0
20
40
60
80
100
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019
Consumer Technology % growth
(Various)
Smartphones Tablets Smart TVs

87. About me
Amazon author page: amzn.to/1SeO5Il
LinkedIn page: linkedin.com/in/gedcarroll
About: renaissancechambara.jp/about
Blog: renaissancechambara.jp
Email address found here: scr.im/renaissance
Twitter account: @r_c
Sina Weibo: renaissancechambara
WeChat

88. thank you | 谢谢 | míle buíochas! |
감사합니다 | danke | ありがとう |
merci | спасибо | cám ơn |
whakawhetai | takk | ขอขอบคุณคุณ |
terima kasih | σας ευχαριστώ |
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