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Personal Cloud Market - Global Advancements, Business Models, Technology Roadmap, Forecasts & Analysis (2013 - 2018)

LONDON, Feb. 4, 2014 /PRNewswire/ -- Reportbuyer.com just published a new market research report:

Personal Cloud Market - Global Advancements, Business Models, Technology Roadmap, Forecasts & Analysis (2013 – 2018)

Cloud computing which has been making headlines in the tech world has evolved a lot during the 2000's. 'Personal Cloud' is a relatively new concept which offers a truly personalized experience to an individual user using cloud. In today's digital world, users are keen on storing and managing their personal data via multiple devices, while ensuring secure access to the same. Personal cloud promises to be a perfect solution for this by enabling users to store data remotely, while making it securely accessible. Personal cloud provides seamless integration across multiple devices by offering real time synchronization. Above all a user can also share their data stored in cloud with other users as well.

This report provides insights on key market players, future scope, drivers, restraints and challenges of the market. The report focuses on evaluating global advancements, adoption trends, business models, market forces, technology roadmap, forecasts & analysis (2013-2018). We have profiled leading companies that provide Personal cloud services (Pure play personal cloud service providers and NAS device manufacturers). Key players include Amazon, Apple, Box, Buffalo Technology, Drobo , Dropbox, Egnyte, Google, Iomega, LiveDrive, Microsoft, Mozy, Pogoplug, Polkast, Seagate Technology, Sugarsync, Symform, Syncplicity, Western Digital and Wuala.

This report categorizes the global market in terms of market revenues and also for forecasting the revenues and analyzing the trends in each of the following markets and sub-markets:

On the basis of Revenues

Direct Revenues
Indirect Revenues

On the basis of Deployment Models

Individuals
Small Business
Medium Business

On the basis of Types of Hosting

Provider Hosting
User Hosting

On the basis of Geographies

North America (NA)
Europe (EU)
Middle-East Africa (MEA)
Asia-Pacific, incl. Japan (APAC)
Latin America (LA)

1 INTRODUCTION 20

1.1 KEY TAKE-AWAYS 20
1.2 REPORT DESCRIPTION 20
1.3 MARKETS COVERED 21
1.4 STAKEHOLDERS 22
1.5 FORECAST ASSUMPTIONS 22
1.6 RESEARCH METHODOLOGY 23

2 EXECUTIVE SUMMARY 24

3 MARKET OVERVIEW 26

3.1 PERSONAL CLOUD: OVERVIEW 26
3.2 PERSONAL CLOUD: EVOLUTION 27
3.3 WHAT IS HOT 28
3.3.1 ULTRA VIOLET AND KEYCHEST 28
3.3.2 CLOUD OPERATING SYSTEM (OS) 28
3.3.3 WHITE-LABEL SOLUTIONS 29
3.4 MARKET DEFINITION 29
3.5 MARKET SEGMENTATION 30
3.6 PERSONAL CLOUD: OVERALL MARKET SIZE 31
3.7 MARKET DYNAMICS 32
3.7.1 DRIVERS 32

3.7.1.1 Data generation and access 32
3.7.1.2 Disaster recovery and contingency planning 33
3.7.1.3 Remote access 33
3.7.1.4 Bring Your Own Device (BYOD) and mobile workforce 33
3.7.2 RESTRAINTS 34
3.7.2.1 Privacy issues 34
3.7.2.2 Data security 34
3.7.2.3 Internet and bandwidth 34
3.7.2.4 Vendor lock-in and interoperability 35
3.7.3 OPPORTUNITES 35
3.7.3.1 Creating awareness 35
3.7.3.2 Business tie-ups with electronic device manufacturers 35
3.7.3.3 Making personal cloud appealing to business users 35
3.8 PERSONAL CLOUD: ECOSYSTEM 36
3.9 PERSONAL CLOUD: VALUE CHAIN ANALYSIS 38

4 PERSONAL CLOUD: MARKET SIZE AND FORECAST
BY REVENUES 39


4.1 BY DIRECT REVENUES 39
4.1.1 OVERVIEW 39
4.1.2 MARKET SIZE AND FORECAST 39
4.2 BY INDIRECT REVENUES 44
4.2.1 OVERVIEW 44
4.2.2 MARKET SIZE AND FORECAST 44

5 PERSONAL CLOUD: MARKET SIZE AND FORECAST
BY SIZE OF DEPLOYMENT 49


5.1 OVERVIEW: PERSONAL CLOUD BY DEPLOYMENT 50
5.2 BY INDIVUDUALS 53
5.2.1 OVERVIEW 53
5.2.2 MARKET SIZE AND FORECAST 53
5.3 BY SMALL BUSINESS 57
5.3.1 OVERVIEW 57
5.3.2 MARKET SIZE AND FORECAST 57
5.4 BY MEDIUM BUSINESS 62
5.4.1 OVERVIEW 62
5.4.2 MARKET SIZE AND FORECAST 62

6 PERSONAL CLOUD: MARKET SIZE AND FORECAST
BY TYPES OF HOSTING 67


6.1 OVERVIEW OF TYPES OF HOSTING 68
6.2 PERSONAL CLOUD: PROVIDER HOSTING (HOSTED FROM PROVIDER'S PREMISES) 70
6.2.1 OVERVIEW 70
6.2.2 MARKET SIZE AND FORECAST 70
6.3 PERSONAL CLOUD HOSTED FROM USER'S PREMISES 75
6.3.1 OVERVIEW 75
6.3.2 MARKET SIZE AND FORECAST 75

7 PERSONAL CLOUD: MARKET SIZE AND FORECAST
BY GEOGRAPHIES 80


7.1 OVERVIEW OF PERSONAL CLOUD GLOBALLY 81
7.2 NORTH AMERICA (NA) 82
7.2.1 OVERVIEW 82
7.2.2 MARKET SIZE AND FORECAST BY TYPES OF REVENUES 83
7.2.3 MARKET SIZE AND FORECAST BY SIZE OF DEPLOYMENT 86
7.2.4 MARKET SIZE AND FORECAST BY TYPES OF HOSTING 90
7.3 EUROPE (EU) 92
7.3.1 OVERVIEW 92
7.3.2 MARKET SIZE AND FORECAST BY TYPES OF REVENUES 94
7.3.3 MARKET SIZE AND FORECAST BY SIZE OF DEPLOYMENT 97
7.3.4 MARKET SIZE AND FORECAST BY TYPES OF HOSTING 100
7.4 APAC 102

7.4.1 OVERVIEW 102
7.4.2 MARKET SIZE AND FORECAST BY TYPES OF REVENUES 104
7.4.3 MARKET SIZE AND FORECAST BY SIZE OF DEPLOYMENT 107
7.4.4 MARKET SIZE AND FORECAST BY TYPES OF HOSTING 111
7.5 MEA 113
7.5.1 OVERVIEW 113
7.5.2 MARKET SIZE AND FORECAST BY TYPES OF REVENUES 115
7.5.3 MARKET SIZE AND FORECAST BY SIZE OF DEPLOYMENT 118
7.5.4 MARKET SIZE AND FORECAST BY TYPES OF HOSTING 122
7.6 LATIN AMERICA (LA) 124
7.6.1 OVERVIEW 124
7.6.2 MARKET SIZE AND FORECAST BY TYPES OF REVENUES 126
7.6.3 MARKET SIZE AND FORECAST BY SIZE OF DEPLOYMENT 128
7.6.4 MARKET SIZE AND FORECAST BY TYPES OF HOSTING 132

8 PERSONAL CLOUD: BUSINESS CASE AND MODELS 134

8.1 CURRENT BUSINESS MODELS 134
8.1.1 PERSONAL CLOUD HOSTED FROM PROVIDER PREMISES (DATA CENTER) 134
8.1.1.1 Overall approach 134
8.1.1.2 Key features and pricing 135
8.1.1.3 Analyst insights 135
8.1.2 PERSONAL CLOUD HOSTED FROM USER PREMISES 136
8.1.2.1 Overall approach 136
8.1.2.2 Key features and pricing 136
8.1.2.3 Analyst insights 137
8.2 BUSINESS CASE FOR PLAYERS IN THE ECOSYSTEM 137
8.2.1 CLOUD STORAGE PROVIDERS 137
8.2.2 TELCOS 138
8.2.3 CONSUMER ELECTRONIC MANUFACTURERS 138

9 PERSONAL CLOUD: GO-TO-MARKET (GTM) AND
PRICING STRATEGIES 140


9.1 MARKET LIFECYCLE MANAGEMENT 140
9.1.1 PLOTTING THE CHASM 140
9.1.2 STRATEGY AND INSIGHTS 142
9.2 PRICING STRATEGIES 144
9.2.1 FREEMIUM OVERVIEW 144
9.2.2 FREE USERS VS. PAID USERS 144
9.2.3 IS THIS MODEL PROFITABLE? 144
9.2.4 PRICING MODELS FOR FUTURE 145

10 COMPETITIVE LANSCAPE 146

10.1 COMPETITOR ECOSYSTEM 146
10.2 SERVICE/FEATURE COMPARISON 147
10.3 MERGERS AND ACQUISITIONS (M&A) 149
10.4 VENTURE CAPITAL (VC) FUNDING 150
10.4.1 OVERVIEW 150
10.4.2 CAPITAL FUNDING TRENDS 150

11 COMPANY PROFILES 153
(MnM View, Overview, Products & Services, Financials, SWOT Analysis and Strategy & Analyst Insights)*

11.1 AMAZON 153
11.2 APPLE 155
11.3 BOX, INC. 157
11.4 BUFFALO TECHNOLOGY 159
11.5 DROBO, INC. 161
11.6 DROPBOX, INC. 163
11.7 EGNYTE, INC. 165
11.8 GOOGLE, INC. 166
11.9 IOMEGA CORP 168
11.10 LIVE DRIVE INTERNET LTD. 170
11.11 MICROSOFT 171
11.12 MOZY, INC. 173
11.13 POGOPLUG 174
11.14 POLKAST 175

11.15 SEAGATE TECHNOLOGY PLC 176
11.16 SUGARSYNC, INC. 177
11.17 SYMFORM, INC. 179
11.18 SYNCPLICITY 180
11.19 WESTERN DIGITAL CORP. 181
11.20 WUALA 183
*Details on MarketsandMarkets View, Overview, Products & Services, Financials, SWOT Analysis and Strategy & Analyst Insights might not be captured in case of unlisted companies.
11.21 OTHER KEY PLAYERS 185
11.21.1 ADRIVE 185
11.21.2 CLOUDMAGIC 185
11.21.3 D-LINK CORPORATION 185
11.21.4 ELEPHANT DRIVE, INC. 186
11.21.5 EVERNOTE CORPORATION 186
11.21.6 FUNAMBOL, INC. 187
11.21.7 SYNOLOGY 187
11.21.8 OPENDRIVE 188
11.21.9 UBUNTU TECHNOLOGY PTY LTD. 188
11.21.10 WYSE TECHNOLOGY, INC. 188

LIST OF TABLES

TABLE 1 FORECAST ASSUMPTIONS FOR PERSONAL CLOUD MARKET 22
TABLE 2 PERSONAL CLOUD MARKET SIZE, 2013-2018 ($BILLION) 25
TABLE 3 PERSONAL CLOUD MARKET SIZE, 2013-2018 ($BILLION) 31
TABLE 4 PERSONAL CLOUD MARKET, BY DIRECT REVENUES,
2013-2018 ($BILLION) 39
TABLE 5 PERSONAL CLOUD MARKET, BY DIRECT REVENUES, BY GEOGRAPHIES, 2013-2018 ($BILLION) 41
TABLE 6 PERSONAL CLOUD MARKET, BY INDIRECT REVENUES,
2013-2018 ($BILLION) 44
TABLE 7 PERSONAL CLOUD MARKET, BY INDIRECT REVENUES,
BY GEOGRAPHIES, 2013-2018 ($BILLION) 46
TABLE 8 PERSONAL CLOUD MARKETN SIZE, BY DEPLOYMENT,
2013-2018 ($BILLION) 50
TABLE 9 PERSONAL CLOUD MARKET SIZE, BY DEPLOYMENT, 2013-2018, Y-O-Y 51
TABLE 10 PERSONAL CLOUD MARKET SIZE, BY INDIVIDUALS,
2013-2018 ($BILLION) 53
TABLE 11 PERSONAL CLOUD MARKET SIZE, BY INDIVIDUALS, BY GEOGRAPHIES, 2013-2018 ($BILLION) 54

TABLE 12 PERSONAL CLOUD MARKET Y-O-Y, BY INDIVIDUALS,
BY GEOGRAPHIES, 2013-2018 55
TABLE 13 PERSONAL CLOUD MARKET SIZE, BY SMALL BUSINESS,
2013-2018 ($BILLION) 58
TABLE 14 PERSONAL CLOUD MARKET SIZE, BY SMALL BUSINESS,
BY GEOGRAPHIES, 2013-2018 ($BILLION) 59
TABLE 15 PERSONAL CLOUD MARKET Y-O-Y, BY SMALL BUSINESS,
BY GEOGRAPHIES, 2013-2018 60
TABLE 16 PERSONAL CLOUD MARKET SIZE, BY MEDIUM BUSINESS,
2013-2018 ($BILLION) 62
TABLE 17 PERSONAL CLOUD MARKET SIZE, BY MEDIUM BUSINESS,
BY GEOGRAPHIES, 2013-2018 ($BILLION) 64
TABLE 18 PERSONAL CLOUD MARKET Y-O-Y, BY MEDIUM BUSINESS,
BY GEOGRAPHIES, 2013-2018 64
TABLE 19 PERSONAL CLOUD MARKET SIZE, BY HOSTING, 2013-2018 ($BILLION) 68
TABLE 20 PERSONAL CLOUD MARKET SIZE, BY HOSTING, 2013-2018, Y-O-Y 69
TABLE 21 PERSONAL CLOUD MARKET SIZE, BY PROVIDER HOSTING,

2013-2018 ($BILLION) 71
TABLE 22 PERSONAL CLOUD MARKET SIZE, BY PROVIDER HOSITNG,
BY GEOGRAPHIES, 2013-2018 ($BILLION) 72
TABLE 23 PERSONAL CLOUD MARKET, BY PROVIDER HOSTING,
BY GEOGRAPHIES, 2013-2018, Y-O-Y 73
TABLE 24 PERSONAL CLOUD MARKET SIZE, BY USER HOSTING,
2013-2018 ($BILLION) 75
TABLE 25 PERSONAL CLOUD MARKET SIZE, BY USER HOSITNG,
BY GEOGRAPHIES, 2013-2018 ($BILLION) 77
TABLE 26 PERSONAL CLOUD MARKET, BY USER HOSTING, BY GEOGRAPHIES, 2013-2018, Y-O-Y 78
TABLE 27 PERSONAL CLOUD MARKET SIZES, BY GEOGRAPHIES,
2013-2018 ($BILLION) 81
TABLE 28 PERSONAL CLOUD MARKET SIZE VS. Y-O-Y, BY NA,
2013-2018 ($BILLION) 83
TABLE 29 PERSONAL CLOUD MARKET DIRECT REVENUE VS. Y-O-Y, BY NA,
2013-2018 ($BILLION) 84
TABLE 30 PERSONAL CLOUD MARKET INDIRECT REVENUE VS. Y-O-Y, BY NA, 2013-2018 ($BILLION) 85

TABLE 31 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS) VS. Y-O-Y, BY NA, 2013-2018 ($BILLION) 86
TABLE 32 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS. Y-O-Y, BY NA, 2013-2018 ($BILLION) 87
TABLE 33 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (MEDIUM BUSINESS) VS. Y-O-Y, BY NA, 2013-2018 ($BILLION) 89
TABLE 34 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS. Y-O-Y, BY NA, 2013-2018 ($BILLION) 90
TABLE 35 PERSONAL CLOUD MARKET HOSTING REVENUE (USER HOSTING) VS.
Y-O-Y, BY NA, 2013-2018 ($BILLION) 91
TABLE 36 PERSONAL CLOUD MARKET SIZE VS. Y-O-Y, BY EUROPE,
2013-2018 ($BILLION) 93
TABLE 37 PERSONAL CLOUD MARKET DIRECT REVENUE VS. Y-O-Y, BY EUROPE, 2013-2018 ($BILLION) 94
TABLE 38 PERSONAL CLOUD MARKET INDIRECT REVENUE VS. Y-O-Y, BY EUROPE, 2013-2018 ($BILLION) 95

TABLE 39 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS) VS. Y-O-Y, BY EUROPE, 2013-2018 ($BILLION) 97
TABLE 40 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS. Y-O-Y, BY EUROPE, 2013-2018 ($BILLION) 98
TABLE 41 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (MEDIUM BUSINESS) VS. Y-O-Y, BY EUROPE, 2013-2018 ($BILLION) 99
TABLE 42 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS. Y-O-Y, BY EUROPE, 2013-2018 ($BILLION) 100
TABLE 43 PERSONAL CLOUD MARKET HOSTING REVENUE (USER HOSTING) VS.
Y-O-Y, BY EUROPE, 2013-2018 ($BILLION) 101
TABLE 44 PERSONAL CLOUD MARKET SIZE VS. Y-O-Y, BY APAC,
2013-2018 ($BILLION) 103
TABLE 45 PERSONAL CLOUD MARKET DIRECT REVENUE VS. Y-O-Y, BY APAC, 2013-2018 ($BILLION) 104
TABLE 46 PERSONAL CLOUD MARKET INDIRECT REVENUE VS. Y-O-Y, BY APAC, 2013-2018 ($BILLION) 105

TABLE 47 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS) VS. Y-O-Y, BY APAC, 2013-2018 ($BILLION) 107
TABLE 48 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS. Y-O-Y, BY APAC, 2013-2018 ($BILLION) 108
TABLE 49 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (MEDIUM BUSINESS) VS. Y-O-Y, BY APAC, 2013-2018 ($BILLION) 110
TABLE 50 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS. Y-O-Y, BY APAC, 2013-2018 ($BILLION) 111
TABLE 51 PERSONAL CLOUD MARKET HOSTING REVENUE (USER HOSTING) VS.
Y-O-Y, BY APAC, 2013-2018 ($BILLION) 112
TABLE 52 PERSONAL CLOUD MARKET SIZE VS. Y-O-Y, BY MEA,
2013-2018 ($BILLION) 114
TABLE 53 PERSONAL CLOUD MARKET DIRECT REVENUE VS. Y-O-Y, BY MEA,
2013-2018 ($BILLION) 115

TABLE 54 PERSONAL CLOUD MARKET INDIRECT REVENUE VS. Y-O-Y, BY MEA, 2013-2018 ($BILLION) 116
TABLE 55 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS) VS. Y-O-Y, BY MEA, 2013-2018 ($BILLION) 118
TABLE 56 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS. Y-O-Y, BY MEA, 2013-2018 ($BILLION) 119
TABLE 57 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (MEDIUM BUSINESS) VS. Y-O-Y, BY MEA, 2013-2018 ($BILLION) 121
TABLE 58 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS. Y-O-Y, BY MEA, 2013-2018 ($BILLION) 122
TABLE 59 PERSONAL CLOUD MARKET HOSTING REVENUE (USER HOSTING) VS.
Y-O-Y, BY MEA, 2013-2018 ($BILLION) 123
TABLE 60 PERSONAL CLOUD MARKET SIZE VS. Y-O-Y, BY LA,
2013-2018 ($BILLION) 125
TABLE 61 PERSONAL CLOUD MARKET DIRECT REVENUE VS. Y-O-Y, BY LA,
2013-2018 ($BILLION) 126
TABLE 62 PERSONAL CLOUD MARKET INDIRECT REVENUE VS. Y-O-Y,
BY LA,2013-2018 ($BILLION) 127

TABLE 63 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS) VS. Y-O-Y, BY LA, 2013-2018 ($BILLION) 128
TABLE 64 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS. Y-O-Y, BY LA, 2013-2018 ($BILLION) 129
TABLE 65 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (MEDIUM BUSINESS) VS. Y-O-Y, BY LA, 2013-2018 ($BILLION) 130
TABLE 66 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS. Y-O-Y, BY LA, 2013-2018 ($BILLION) 132
TABLE 67 PERSONAL CLOUD MARKET HOSTING REVENUE (USER HOSTING) VS.
Y-O-Y, BY LA, 2013-2018 ($BILLION) 133
TABLE 68 SERVICE/FEATURE COMPARISON 147
TABLE 69 MERGERS AND ACQUISITIONS 149
TABLE 70 CAPITAL FUNDING TRENDS 151

LIST OF FIGURES

FIGURE 1 PERSONAL CLOUD OVERVIEW 27
FIGURE 2 PERSONAL CLOUD MARKET SIZE VS. Y-O-Y, 2013-2018 ($BILLION) 32
FIGURE 3 PERSONAL CLOUD ECOSYSTEM 36
FIGURE 4 PERSONAL CLOUD VALUE CHAIN 38
FIGURE 5 PERSONAL CLOUD MARKET DIRECT REVENUE VS. Y-O-Y,
2013-2018 ($BILLION) 40
FIGURE 6 PERSONAL CLOUD MARKET DIRECT REVENUE, BY GEOGRAPHIES,
2013-2018 ($BILLION) 42
FIGURE 7 PERSONAL CLOUD MARKET DIRECT REVENUE, BY GEOGRAPHIES,
2013-2018, Y-O-Y 43
FIGURE 8 PERSONAL CLOUD MARKET INDIRECT REVENUE VS. Y-O-Y,
2013-2018 ($BILLION) 45
FIGURE 9 PERSONAL CLOUD MARKET INDIRECT REVENUE, BY GEOGRAPHIES, 2013-2018 ($BILLION) 47
FIGURE 10 PERSONAL CLOUD MARKET INDIRECT REVENUE, BY GEOGRAPHIES, 2013-2018, Y-O-Y 48
FIGURE 11 PERSONAL CLOUD MARKET SIZE, BY DEPLOYMENT,
2013-2018 ($BILLION) 52

FIGURE 12 PERSONAL CLOUD MARKET SIZE, BY DEPLOYMENT, 2013-2018, Y-O-Y 52
FIGURE 13 PERSONAL CLOUD MARKET SIZE VS. Y-O-Y, BY INDIVIDUALS,
2013-2018 ($BILLION) 54
FIGURE 14 PERSONAL CLOUD MARKET, BY INDIVIDUALS, BY GEOGRAPHIES,
2013-2018 ($BILLION) 56
FIGURE 15 PERSONAL CLOUD MARKET INDIVIDUAL REVENUE, BY GEOGRAPHIES, 2013-2018, Y-O-Y 56
FIGURE 16 PERSONAL CLOUD MARKET SIZE VS. Y-O-Y, BY SMALL BUSINESS, 2013-2018 ($BILLION) 58
FIGURE 17 PERSONAL CLOUD MARKET, BY SMALL BUSINESS, BY GEOGRAPHIES, 2013-2018 ($BILLION) 60
FIGURE 18 PERSONAL CLOUD MARKET, BY SMALL BUSINESS, BY GEOGRAPHIES, 2013-2018, Y-O-Y 61

FIGURE 19 PERSONAL CLOUD MARKET SIZE VS. Y-O-Y, BY MEDIUM BUSINESS, 2013-2018 ($BILLION) 63
FIGURE 20 PERSONAL CLOUD MARKET, BY MEDIUM BUSINESS, BY GEOGRAPHIES, 2013-2018 ($BILLION) 65
FIGURE 21 PERSONAL CLOUD MARKET, BY MEDIUM BUSINESS, BY GEOGRAPHIES, 2013-2018, Y-O-Y 66
FIGURE 22 PERSONAL CLOUD MARKET SIZE, BY HOSTING, 2013-2018 ($BILLION) 69
FIGURE 23 PERSONAL CLOUD MARKET, BY HOSTING, 2013-2018, Y-O-Y 70
FIGURE 24 PERSONAL CLOUD MARKET SIZE VS. Y-O-Y, BY PROVIDER HOSTING, 2013-2018 ($BILLION) 71
FIGURE 25 PERSONAL CLOUD MARKET, BY PROVIDER HOSTING,
BY GEOGRAPHIES, 2013-2018 ($BILLION) 73
FIGURE 26 PERSONAL CLOUD MARKET, BY PROVIDER HOSTING,
BY GEOGRAPHIES, 2013-2018, Y-O-Y 74
FIGURE 27 PERSONAL CLOUD MARKET SIZE VS. Y-O-Y, BY USER HOSTING,
2013-2018 ($BILLION) 76
FIGURE 28 PERSONAL CLOUD MARKET, BY USER HOSTING, BY GEOGRAPHIES, 2013-2018 ($BILLION) 78
FIGURE 29 PERSONAL CLOUD MARKET, BY USER HOSTING, BY GEOGRAPHIES, 2013-2018, Y-O-Y 79
FIGURE 30 PERSONAL CLOUD MARKET, REVENUES VS. Y-O-Y, BY GEOGRAPHIES, 2013-2018 ($BILLION) 82

FIGURE 31 PERSONAL CLOUD MARKET SIZE VS. Y-O-Y, BY NA,
2013-2018 ($BILLION) 83
FIGURE 32 PERSONAL CLOUD MARKET DIRECT REVENUE VS. Y-O-Y, BY NA,
2013-2018 ($BILLION) 84
FIGURE 33 PERSONAL CLOUD MARKET INDIRECT REVENUE VS. Y-O-Y, BY NA, 2013-2018 ($BILLION) 85
FIGURE 34 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS) VS. Y-O-Y, BY NA, 2013-2018 ($BILLION) 87
FIGURE 35 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS. Y-O-Y, BY NA, 2013-2018 ($BILLION) 88
FIGURE 36 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE
(MEDIUM BUSINESS) VS. Y-O-Y, BY NA, 2013-2018 ($BILLION) 89
FIGURE 37 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS. Y-O-Y, BY NA, 2013-2018 ($BILLION) 91
FIGURE 38 PERSONAL CLOUD MARKET HOSTING REVENUE (USER HOSTING) VS.
Y-O-Y, BY NA, 2013-2018 ($BILLION) 92

FIGURE 39 PERSONAL CLOUD MARKET SIZE VS. Y-O-Y (%), BY EUROPE,
2013-2018 ($BILLION) 93
FIGURE 40 PERSONAL CLOUD MARKET DIRECT REVENUE VS. Y-O-Y, BY EUROPE, 2013-2018 ($BILLION) 95
FIGURE 41 PERSONAL CLOUD MARKET INDIRECT REVENUE VS. Y-O-Y, BY EUROPE, 2013-2018 ($BILLION) 96
FIGURE 42 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS) VS. Y-O-Y, BY EUROPE, 2013-2018 ($BILLION) 97
FIGURE 43 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS. Y-O-Y, BY EUROPE, 2013-2018 (BILLION) 98
FIGURE 44 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (MEDIUM BUSINESS) VS. Y-O-Y, BY EUROPE, 2013-2018 ($BILLION) 99
FIGURE 45 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS. Y-O-Y, BY EUROPE, 2013-2018 ($BILLION) 101

FIGURE 46 PERSONAL CLOUD MARKET HOSTING REVENUE (USER HOSTING) VS.
Y-O-Y, BY EUROPE, 2013-2018 ($BILLION) 102
FIGURE 47 PERSONAL CLOUD MARKET SIZE VS. Y-O-Y, BY APAC,
2013-2018 ($BILLION) 103
FIGURE 48 PERSONAL CLOUD MARKET DIRECT REVENUE VS. Y-O-Y, BY APAC,
2013-2018 ($BILLION) 105
FIGURE 49 PERSONAL CLOUD MARKET INDIRECT REVENUE VS. Y-O-Y, BY APAC, 2013-2018 ($BILLION) 106
FIGURE 50 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS) VS. Y-O-Y, BY APAC, 2013-2018 ($BILLION) 108
FIGURE 51 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS. Y-O-Y (%), BY APAC, 2013-2018 ($BILLION) 109
FIGURE 52 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (MEDIUM BUSINESS) VS. Y-O-Y, BY APAC, 2013-2018 ($BILLION) 110
FIGURE 53 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS. Y-O-Y, BY APAC, 2013-2018 ($BILLION) 112
FIGURE 54 PERSONAL CLOUD MARKET HOSTING REVENUE (USER HOSTING) VS.
Y-O-Y, BY APAC, 2013-2018 ($BILLION) 113
FIGURE 55 PERSONAL CLOUD MARKET SIZE VS. Y-O-Y, BY MEA,

2013-2018 ($BILLION) 114
FIGURE 56 PERSONAL CLOUD MARKET DIRECT REVENUE VS. Y-O-Y, BY MEA,
2013-2018 ($BILLION) 116
FIGURE 57 PERSONAL CLOUD MARKET INDIRECT REVENUE VS. Y-O-Y, BY MEA, 2013-2018 ($BILLION) 117
FIGURE 58 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS) VS. Y-O-Y, BY MEA, 2013-2018 ($BILLION) 119
FIGURE 59 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS. Y-O-Y, BY MEA, 2013-2018 ($BILLION) 120
FIGURE 60 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (MEDIUM BUSINESS) VS. Y-O-Y, BY MEA, 2013-2018 ($BILLION) 121
FIGURE 61 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS. Y-O-Y, BY MEA, 2013-2018 ($BILLION) 123
FIGURE 62 PERSONAL CLOUD MARKET HOSTING REVENUE (USER HOSTING) VS.
Y-O-Y, BY MEA, 2013-2018 ($ BILLION) 124
FIGURE 63 PERSONAL CLOUD MARKET SIZE VS. Y-O-Y, BY LA,
2013-2018 ($BILLION) 125
FIGURE 64 PERSONAL CLOUD MARKET DIRECT REVENUE VS. Y-O-Y, BY LA,
2013-2018 ($BILLION) 127

FIGURE 65 PERSONAL CLOUD MARKET INDIRECT REVENUE VS. Y-O-Y, BY LA,
2013-2018 ($BILLION) 128
FIGURE 66 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS) VS.
Y-O-Y, BY LA, 2013-2018 ($BILLION) 129
FIGURE 67 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS. Y-O-Y, BY LA, 2013-2018 130
FIGURE 68 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE
(MEDIUM BUSINESS) VS. Y-O-Y, BY LA, 2013-2018 ($BILLION) 131
FIGURE 69 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS. Y-O-Y, BY LA, 2013-2018 ($BILLION) 132
FIGURE 70 PERSONAL CLOUD MARKET HOSTING REVENUE (USER HOSTING) VS.
Y-O-Y, BY LA, 2013-2018 ($BILLION) 133
FIGURE 71 PERSONAL CLOUD: CHASM 140
FIGURE 72 PERSONAL CLOUD: CROSSING THE CHASM 142
FIGURE 73 PERSONAL CLOUD: COMPETITOR ECOSYSTEM 146

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Personal Cloud Market - Global Advancements, Business Models, Technology Roadmap, Forecasts & Analysis (2013 – 2018)
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@ThingsExpo Stories
Roberto Medrano, Executive Vice President at SOA Software, had reached 30,000 page views on his home page - http://RobertoMedrano.SYS-CON.com/ - on the SYS-CON family of online magazines, which includes Cloud Computing Journal, Internet of Things Journal, Big Data Journal, and SOA World Magazine. He is a recognized executive in the information technology fields of SOA, internet security, governance, and compliance. He has extensive experience with both start-ups and large companies, having been involved at the beginning of four IT industries: EDA, Open Systems, Computer Security and now SOA.
When it comes to the Internet of Things, hooking up will get you only so far. If you want customers to commit, you need to go beyond simply connecting products. You need to use the devices themselves to transform how you engage with every customer and how you manage the entire product lifecycle. In his session at @ThingsExpo, Sean Lorenz, Technical Product Manager for Xively at LogMeIn, will show how “product relationship management” can help you leverage your connected devices and the data they generate about customer usage and product performance to deliver extremely compelling and reliabl...
SYS-CON Events announced today that GENBAND, a leading developer of real time communications software solutions, has been named “Silver Sponsor” of SYS-CON's WebRTC Summit, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. The GENBAND team will be on hand to demonstrate their newest product, Kandy. Kandy is a communications Platform-as-a-Service (PaaS) that enables companies to seamlessly integrate more human communications into their Web and mobile applications - creating more engaging experiences for their customers and boosting collaboration and productiv...
From telemedicine to smart cars, digital homes and industrial monitoring, the explosive growth of IoT has created exciting new business opportunities for real time calls and messaging. In his session at @ThingsExpo, Ivelin Ivanov, CEO and Co-Founder of Telestax, shared some of the new revenue sources that IoT created for Restcomm – the open source telephony platform from Telestax. Ivelin Ivanov is a technology entrepreneur who founded Mobicents, an Open Source VoIP Platform, to help create, deploy, and manage applications integrating voice, video and data. He is the co-founder of TeleStax, a...
The industrial software market has treated data with the mentality of “collect everything now, worry about how to use it later.” We now find ourselves buried in data, with the pervasive connectivity of the (Industrial) Internet of Things only piling on more numbers. There’s too much data and not enough information. In his session at @ThingsExpo, Bob Gates, Global Marketing Director, GE’s Intelligent Platforms business, to discuss how realizing the power of IoT, software developers are now focused on understanding how industrial data can create intelligence for industrial operations. Imagine ...
Operational Hadoop and the Lambda Architecture for Streaming Data Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and Internet-of-Things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing and analyzing streaming data is the Lambda Architecture, representing a model of how to analyze rea...
The 3rd International @ThingsExpo, co-located with the 16th International Cloud Expo - to be held June 9-11, 2015, at the Javits Center in New York City, NY - is now accepting submissions to demo smart cars on the Expo Floor. Smart car sponsorship benefits include general brand exposure and increasing engagement with the developer ecosystem.
SYS-CON Events announced today that Vitria Technology, Inc. will exhibit at SYS-CON’s @ThingsExpo, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Vitria will showcase the company’s new IoT Analytics Platform through live demonstrations at booth #330. Vitria’s IoT Analytics Platform, fully integrated and powered by an operational intelligence engine, enables customers to rapidly build and operationalize advanced analytics to deliver timely business outcomes for use cases across the industrial, enterprise, and consumer segments.
When it comes to the Internet of Things, hooking up will get you only so far. If you want customers to commit, you need to go beyond simply connecting products. You need to use the devices themselves to transform how you engage with every customer and how you manage the entire product lifecycle. In his session at @ThingsExpo, Sean Lorenz, Technical Product Manager for Xively at LogMeIn, will show how “product relationship management” can help you leverage your connected devices and the data they generate about customer usage and product performance to deliver extremely compelling and reliabl...
SYS-CON Events announced today that SoftLayer, an IBM company, has been named “Gold Sponsor” of SYS-CON's 16th International Cloud Expo®, which will take place June 9-11, 2015 at the Javits Center in New York City, NY, and the 17th International Cloud Expo®, which will take place November 3–5, 2015 at the Santa Clara Convention Center in Santa Clara, CA. SoftLayer operates a global cloud infrastructure platform built for Internet scale. With a global footprint of data centers and network points of presence, SoftLayer provides infrastructure as a service to leading-edge customers ranging from ...
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @ThingsExpo, Michael Sick, a Senior Manager and Big Data Architect within Ernst and Young's Financial Servi...
SYS-CON Events announced today that Open Data Centers (ODC), a carrier-neutral colocation provider, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place June 9-11, 2015, at the Javits Center in New York City, NY. Open Data Centers is a carrier-neutral data center operator in New Jersey and New York City offering alternative connectivity options for carriers, service providers and enterprise customers.
The IoT market is projected to be $1.9 trillion tidal wave that’s bigger than the combined market for smartphones, tablets and PCs. While IoT is widely discussed, what not being talked about are the monetization opportunities that are created from ubiquitous connectivity and the ensuing avalanche of data. While we cannot foresee every service that the IoT will enable, we should future-proof operations by preparing to monetize them with extremely agile systems.
There’s Big Data, then there’s really Big Data from the Internet of Things. IoT is evolving to include many data possibilities like new types of event, log and network data. The volumes are enormous, generating tens of billions of logs per day, which raise data challenges. Early IoT deployments are relying heavily on both the cloud and managed service providers to navigate these challenges. Learn about IoT, Big Data and deployments processing massive data volumes from wearables, utilities and other machines.
SYS-CON Events announced today that CodeFutures, a leading supplier of database performance tools, has been named a “Sponsor” of SYS-CON's 16th International Cloud Expo®, which will take place on June 9–11, 2015, at the Javits Center in New York, NY. CodeFutures is an independent software vendor focused on providing tools that deliver database performance tools that increase productivity during database development and increase database performance and scalability during production.
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @ThingsExpo, Michael Sick, a Senior Manager and Big Data Architect within Ernst and Young's Financial Servi...
The major cloud platforms defy a simple, side-by-side analysis. Each of the major IaaS public-cloud platforms offers their own unique strengths and functionality. Options for on-site private cloud are diverse as well, and must be designed and deployed while taking existing legacy architecture and infrastructure into account. Then the reality is that most enterprises are embarking on a hybrid cloud strategy and programs. In this Power Panel at 15th Cloud Expo (http://www.CloudComputingExpo.com), moderated by Ashar Baig, Research Director, Cloud, at Gigaom Research, Nate Gordon, Director of T...
“In the past year we've seen a lot of stabilization of WebRTC. You can now use it in production with a far greater degree of certainty. A lot of the real developments in the past year have been in things like the data channel, which will enable a whole new type of application," explained Peter Dunkley, Technical Director at Acision, in this SYS-CON.tv interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
SYS-CON Events announced today that Intelligent Systems Services will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Established in 1994, Intelligent Systems Services Inc. is located near Washington, DC, with representatives and partners nationwide. ISS’s well-established track record is based on the continuous pursuit of excellence in designing, implementing and supporting nationwide clients’ mission-critical systems. ISS has completed many successful projects in Healthcare, Commercial, Manufacturing, ...
PubNub on Monday has announced that it is partnering with IBM to bring its sophisticated real-time data streaming and messaging capabilities to Bluemix, IBM’s cloud development platform. “Today’s app and connected devices require an always-on connection, but building a secure, scalable solution from the ground up is time consuming, resource intensive, and error-prone,” said Todd Greene, CEO of PubNub. “PubNub enables web, mobile and IoT developers building apps on IBM Bluemix to quickly add scalable realtime functionality with minimal effort and cost.”