Welcome!

Linux Authors: Ignacio M. Llorente, Trevor Parsons, Tad Anderson, Andrew Phillips, Pat Romanski

News Feed Item

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

NEW YORK, Feb. 20, 2013 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Personal Cloud - Global Advancements, Business Models, Technology Roadmap, Forecasts & Analysis (2013 – 2018
http://www.reportlinker.com/p01099866/Personal-Cloud---Global-Advancements-Business-Models-Technology-Roadmap-Forecasts--Analysis-2013-–-2018.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=IT_Hosting

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)

TABLE OF CONTENTS

1 INTRODUCTION 19

1.1 KEY TAKE-AWAYS 19
1.2 REPORT DESCRIPTION 19
1.3 MARKETS COVERED 20
1.4 STAKEHOLDERS 21
1.5 FORECAST ASSUMPTIONS 21
1.6 RESEARCH METHODOLOGY 22

2 EXECUTIVE SUMMARY 23

3 MARKET OVERVIEW 25

3.1 PERSONAL CLOUD - OVERVIEW 25
3.2 PERSONAL CLOUD – EVOLUTION 26
3.3 WHAT'S HOT 26
3.3.1 ULTRA VIOLET & KEYCHEST 26
3.3.2 CLOUD OS 27
3.3.3 WHITE LABEL SOLUTIONS 27
3.4 MARKET DEFINITION 28
3.5 MARKET SEGMENTATION 29
3.6 PERSONAL CLOUD – OVERALL MARKET SIZE 29
3.7 MARKET DYNAMICS 30
3.7.1 DRIVERS 30
3.7.1.1 Data generation & access 30
3.7.1.2 Disaster recovery & contingency planning 31
3.7.1.3 Remote access 31
3.7.1.4 BYOD & mobile workforce 31
3.7.2 RESTRAINTS 32
3.7.2.1 Privacy issues 32
3.7.2.2 Data security 32
3.7.2.3 Internet & bandwidth 32
3.7.2.4 Vendor lock in & interoperability 33
3.7.3 OPPORTUNITES 33
3.7.3.1 Creating awareness 33
3.7.3.2 Business tie-ups with electronic device manufacturers 33
3.7.3.3 Making personal cloud appealing to business users 33
3.8 PERSONAL CLOUD –ECOSYSTEM 34
3.9 PERSONAL CLOUD – VALUE CHAIN ANALYSIS 36

4 PERSONAL CLOUD: MARKET SIZE AND FORECAST BY REVENUES 37

4.1 BY DIRECT REVENUES 37
4.1.1 OVERVIEW 37
4.1.2 MARKET SIZE AND FORECAST 37
4.2 BY INDIRECT REVENUES 40
4.2.1 OVERVIEW 40
4.2.2 MARKET SIZE AND FORECAST 40

5 PERSONAL CLOUD: MARKET SIZE AND FORECAST BY SIZE OF DEPLOYMENT 44

5.1 OVERVIEW –PERSONAL CLOUDBY DEPLOYMENT 45
5.2 BY INDIVUDUALS 47
5.2.1 OVERVIEW 47
5.2.2 MARKET SIZE & FORECAST 47
5.3 BY SMALLBUSINESS 51
5.3.1 OVERVIEW 51
5.3.2 MARKET SIZE & FORECAST 51
5.4 BY MEDIUM BUSINESS 55
5.4.1 OVERVIEW 55
5.4.2 MARKET SIZE & FORECAST 55

6 PERSONAL CLOUD: MARKET SIZE AND FORECAST BY TYPES OF HOSTING 60

6.1 OVERVIEW OF TYPES OF HOSTING 61
6.2 PERSONAL CLOUD – PROVIDER HOSTING (HOSTED FROM PROVIDER'S PREMISE) 63
6.2.1 OVERVIEW 63
6.2.2 MARKET SIZE & FORECAST 63
6.3 PERSONAL CLOUD HOSTED FROM USER'SPREMISE 67
6.3.1 OVERVIEW 67
6.3.2 MARKET SIZE & FORECAST 67

7 PERSONAL CLOUD: MARKET SIZE AND FORECAST BY GEOGRAPHIES 72

7.1 OVERVIEW OF PERSONAL CLOUD GLOBALLY 73
7.2 NORTH AMERICA 74
7.2.1 OVERVIEW 74
7.2.2 MARKET SIZE & FORECAST BY TYPES OF REVENUES 76
7.2.3 MARKET SIZE & FORECAST BY SIZE OF DEPLOYMENT 78
7.2.4 MARKET SIZE & FORECAST BY TYPES OF HOSTING 81
7.3 EUROPE 83
7.3.1 OVERVIEW 83
7.3.2 MARKET SIZE & FORECAST BY TYPES OF REVENUES 84
7.3.3 MARKET SIZE & FORECAST BY SIZE OF DEPLOYMENT 86
7.3.4 MARKET SIZE & FORECAST BY TYPES OF HOSTING 89
7.4 APAC 91
7.4.1 OVERVIEW 91
7.4.2 MARKET SIZE & FORECAST BY TYPES OF REVENUES 92
7.4.3 MARKET SIZE & FORECAST BY SIZE OF DEPLOYMENT 95
7.4.4 MARKET SIZE & FORECAST BY TYPES OF HOSTING 98
7.5 MEA 100
7.5.1 OVERVIEW 100
7.5.2 MARKET SIZE & FORECAST BY TYPES OF REVENUES 101
7.5.3 MARKET SIZE & FORECAST BY SIZE OF DEPLOYMENT 103
7.5.4 MARKET SIZE & FORECAST BY TYPES OF HOSTING 106
7.6 LATIN AMERICA 108
7.6.1 OVERVIEW 108
7.6.2 MARKET SIZE & FORECAST BY TYPES OF REVENUES 109
7.6.3 MARKET SIZE & FORECAST BYSIZE OFDEPLOYMENT 112
7.6.4 MARKET SIZE & FORECAST BY TYPES OF HOSTING 115

8 PERSONAL CLOUD: BUSINESS CASE & MODELS 117

8.1 CURRENT BUSINESS MODELS 117
8.1.1 PERSONAL CLOUD HOSTED FROM PROVIDER PREMISE(DATA CENTER) 117
8.1.1.1 Overall approach 117
8.1.1.2 Key features & pricing 118
8.1.1.3 Analyst insights 118
8.1.2 PERSONAL CLOUD HOSTED FROM USER PREMISE 119
8.1.2.1 Overall approach 119
8.1.2.2 Key features & pricing 119
8.1.2.3 Analyst insights 120
8.2 BUSINESS CASE FOR PLAYERS IN THE ECOSYSTEM 120
8.2.1 CLOUD STORAGE PROVIDERS 120
8.2.2 TELCOS 121
8.2.3 CONSUMER ELECTRONIC MANUFACTURERS 121

9 PERSONAL CLOUD: GO TO MARKET (GTM) & PRICING STRATEGIES 123

9.1 MARKET LIFECYCLE MANAGEMENT 123
9.1.1 PLOTTING THE CHASM 123
9.1.2 STRATEGY & INSIGHTS 125
9.2 PRICING STRATEGIES 127
9.2.1 FREEMIUM OVERVIEW 127
9.2.2 FREE USERS VS PAID USERS 127
9.2.3 IS THIS MODEL PROFITABLE? 127
9.2.4 PRICING MODELS FOR FUTURE 128

10 COMPETITIVE LANSCAPE 129

10.1 COMPETITOR ECOSYSTEM 129
10.2 SERVICE/FEATURE COMPARISON 130
10.3 MERGERS AND ACQUISITIONS 133
10.4 VENTURE CAPITAL FUNDING 134
10.4.1 OVERVIEW 134
10.4.2 CAPITAL FUNDING TRENDS 134

11 COMPANY PROFILES 137

11.1 AMAZON 137
11.1.1 OVERVIEW 137
11.1.2 PRODUCTS & SERVICES 137
11.1.3 STRATEGY & ANALYST INSIGHTS 137
11.2 APPLE 139
11.2.1 OVERVIEW 139
11.2.2 PRODUCTS & SERVICES 139
11.2.3 STRATEGY & ANALYST INSIGHTS 139
11.3 BOX INC 141
11.3.1 OVERVIEW 141
11.3.2 PRODUCTS & SERVICES 141
11.3.3 STRATEGY & ANALYST INSIGHTS 141
11.4 BUFFALO TECHNOLOGY 143
11.4.1 OVERVIEW 143
11.4.2 PRODUCTS & SERVICES 143
11.4.3 STRATEGY & ANALYST INSIGHTS 143
11.5 DROBO INC 145
11.5.1 OVERVIEW 145
11.5.2 PRODUCTS & SERVICES 145
11.5.3 STRATEGY & ANALYST INSIGHTS 145
11.6 DROPBOX INC 147
11.6.1 OVERVIEW 147
11.6.2 PRODUCTS & SERVICES 147
11.6.3 STRATEGY & ANALYST INSIGHTS 147
11.7 EGNYTE INC 149
11.7.1 OVERVIEW 149
11.7.2 PRODUCTS & SERVICES 149
11.7.3 STRATEGY & ANALYST INSIGHTS 149
11.8 GOOGLE INC 150
11.8.1 OVERVIEW 150
11.8.2 PRODUCTS & SERVICES 150
11.8.3 STRATEGY & ANALYST INSIGHTS 151
11.9 IOMEGA CORP 152
11.9.1 OVERVIEW 152
11.9.2 PRODUCTS & SERVICES 152
11.9.3 STRATEGY & ANALYST INSIGHTS 152
11.10 LIVE DRIVE INTERNET LTD 154
11.10.1 OVERVIEW 154
11.10.2 PRODUCTS & SERVICES 154
11.10.3 STRATEGY & ANALYST INSIGHTS 154
11.11 MICROSOFT 155
11.11.1 OVERVIEW 155
11.11.2 PRODUCTS & SERVICES 155
11.11.3 STRATEGY & ANALYST INSIGHTS 155
11.12 MOZY INC 157
11.12.1 OVERVIEW 157
11.12.2 PRODUCTS & SERVICES 157
11.12.3 STRATEGY & ANALYST INSIGHTS 157
11.13 POGO PLUG 159
11.13.1 OVERVIEW 159
11.13.2 PRODUCTS & SERVICES 159
11.13.3 STRATEGY & ANALYST INSIGHTS 159
11.14 POLKAST 160
11.14.1 OVERVIEW 160
11.14.2 PRODUCTS & SERVICES 160
11.14.3 STRATEGY & ANALYST INSIGHTS 160
11.15 SEAGATE TECHNOLOGY PLC 162
11.15.1 OVERVIEW 162
11.15.2 PRODUCTS & SERVICES 162
11.15.3 STRATEGY & ANALYST INSIGHTS 162
11.16 SUGARSYNC INC 163
11.16.1 OVERVIEW 163
11.16.2 PRODUCTS & SERVICES 163
11.16.3 STRATEGY & ANALYST INSIGHTS 163
11.17 SYMFORM INC 165
11.17.1 OVERVIEW 165
11.17.2 PRODUCTS & SERVICES 165
11.17.3 STRATEGY & ANALYST INSIGHTS 165
11.18 SYNCPLICITY 166
11.18.1 OVERVIEW 166
11.18.2 PRODUCTS & SERVICES 166
11.18.3 STRATEGY & ANALYST INSIGHTS 166
11.19 WESTERN DIGITAL CORP 167
11.19.1 OVERVIEW 167
11.19.2 PRODUCTS & SERVICES 167
11.19.3 STRATEGY & ANALYST INSIGHTS 167
11.20 WUALA 169
11.20.1 OVERVIEW 169
11.20.2 PRODUCTS & SERVICES 169
11.20.3 STRATEGY & ANALYST INSIGHTS 169
11.21 OTHER KEY PLAYERS 171
11.21.1 ADRIVE 171
11.21.2 CLOUDMAGIC 171
11.21.3 DLINK CORPORATION 171
11.21.4 ELEPHANT DRIVE INC 172
11.21.5 EVERNOTE CORPORATION 172
11.21.6 FUNAMBOL INC 173
11.21.7 SYNOLOGY 173
11.21.8 OPENDRIVE 174
11.21.9 UBUNTU TECHNOLOGY PTY LTD 174
11.21.10 WYSE TECHNOLOGY INC 174
11.21.11 ZYXEL COMMUNICATIONS INC 175

LIST OF TABLES

TABLE 1 FORECAST ASSUMPTIONS FOR PERSONAL CLOUD MARKET 21
TABLE 2 PERSONAL CLOUD MARKET REVENUE, 2013 – 2018 ($BILLION) 24
TABLE 3 PERSONAL CLOUD MARKET REVENUE, 2013 – 2018 ($BILLION) 29
TABLE 4 PERSONAL CLOUD MARKET BY DIRECT REVENUES,
2013 – 2018 ($BILLION) 37
TABLE 5 PERSONAL CLOUD MARKET, BY DIRECT REVENUES, BY GEOGRAPHIES, 2013 – 2018 ($BILLION) 38
TABLE 6 PERSONAL CLOUD MARKET BY INDIRECT REVENUES,
2013 – 2018 ($BILLION) 41
TABLE 7 PERSONAL CLOUD MARKET BY INDIRECT REVENUES,
BY GEOGRAPHIES, 2013 – 2018 ($BILLION) 42
TABLE 8 PERSONAL CLOUD MARKET REVENUE, BY DEPLOYMENT,
2013 – 2018 ($BILLION) 45
TABLE 9 PERSONAL CLOUD MARKET REVENUE, BY DEPLOYMENT,
2013 – 2018, Y-O-Y 46
TABLE 10 PERSONAL CLOUD MARKET REVENUE, BY INDIVIDUALS,
2013 – 2018 ($BILLION) 48
TABLE 11 PERSONAL CLOUD MARKET REVENUE BY INDIVIDUALS,
BY GEOGRAPHIES, 2013 – 2018 ($BILLION) 49
TABLE 12 PERSONAL CLOUD MARKET Y-O-Y BY INDIVIDUALS,
BY GEOGRAPHIES, 2013 – 2018 49
TABLE 13 PERSONAL CLOUD MARKET REVENUE, BY SMALL BUSINESS,
2013 – 2018 ($BILLION) 52
TABLE 14 PERSONAL CLOUD MARKET REVENUE BY SMALL BUSINESS,
BY GEOGRAPHIES, 2013 – 2018 ($BILLION) 53
TABLE 15 PERSONAL CLOUD MARKET Y-O-Y BY SMALL BUSINESS,
BY GEOGRAPHIES, 2013 – 2018 53
TABLE 16 PERSONAL CLOUD MARKET REVENUE, BY MEDIUM BUSINESS,
2013 – 2018 ($BILLION) 56
TABLE 17 PERSONAL CLOUD MARKET REVENUE BY MEDUM BUSINESS,
BY GEOGRAPHIES, 2013 – 2018 ($BILLION) 57
TABLE 18 PERSONAL CLOUD MARKET Y-O-Y BY MEDIUM BUSINESS,
BY GEOGRAPHIES, 2013 – 2018 57
TABLE 19 PERSONAL CLOUD MARKET REVENUE BY HOSTING,
2013 – 2018 ($BILLION) 61
TABLE 20 PERSONAL CLOUD MARKET REVENUE BY HOSTING, 2013 – 2018, Y-O-Y 62
TABLE 21 PERSONAL CLOUD MARKET REVENUE, BY PROVIDER HOSTING,
2013 – 2018 ($BILLION) 64
TABLE 22 PERSONAL CLOUD MARKET REVENUE, BY PROVIDER HOSITNG,
BY GEOGRAPHIES, 2013 – 2018 ($BILLION) 65
TABLE 23 PERSONAL CLOUD MARKETBY PROVIDER HOSTING,
BY GEOGRAPHIES, 2013 – 2018, Y-O-Y 65
TABLE 24 PERSONAL CLOUD MARKET REVENUE, BY USER HOSTING,
2013 – 2018 ($BILLION) 68
TABLE 25 PERSONAL CLOUD MARKET REVENUE, BY USER HOSITNG,
BY GEOGRAPHIES, 2013 – 2018 ($BILLION) 69
TABLE 26 PERSONAL CLOUD MARKET BY USER HOSTING, BY GEOGRAPHIES, 2013 – 2018, Y-O-Y 69
TABLE 27 PERSONAL CLOUD MARKET REVENUES, BY GEOGRAPHIES,
2013 – 2018 ($BILLION) 73
TABLE 28 PERSONAL CLOUDMARKET REVENUE VS Y-O-Y,
BY NORTH AMERICA,2013 – 2018 ($BILLION) 75
TABLE 29 PERSONAL CLOUD MARKET DIRECT REVENUE VS Y-O-Y,
BY NORTH AMERICA, 2013 – 2018 ($BILLION) 76
TABLE 30 PERSONAL CLOUD MARKET INDIRECT REVENUE VS Y-O-Y,
BY NORTH AMERICA, 2013 – 2018 ($BILLION) 77
TABLE 31 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS)
VS Y-O-Y, BY NORTH AMERICA, 2013 – 2018 ($BILLION) 78
TABLE 32 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS Y-O-Y, BY NORTH AMERICA, 2013 – 2018 ($BILLION) 79
TABLE 33 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE(MEDIUM BUSINESS) VS Y-O-Y, BY NORTH AMERICA, 2013 – 2018 ($BILLION) 80
TABLE 34 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS Y-O-Y, BY NORTH AMERICA, 2013 – 2018 ($BILLION) 81
TABLE 35 PERSONAL CLOUD MARKET HOSTING REVENUE (USER HOSTING)
VS Y-O-Y, BY NORTH AMERICA, 2013 – 2018 ($BILLION) 82
TABLE 36 PERSONAL CLOUD MARKET REVENUE VS Y-O-Y, BY EUROPE,
2013 – 2018 ($BILLION) 83
TABLE 37 PERSONAL CLOUD MARKET DIRECT REVENUE VS Y-O-Y, BY EUROPE, 2013 – 2018 ($BILLION) 84
TABLE 38 PERSONAL CLOUD MARKET INDIRECT REVENUE VS Y-O-Y, BY EUROPE, 2013 – 2018 ($BILLION) 85
TABLE 39 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE(INDIVIDUALS)
VS Y-O-Y, BY EUROPE, 2013 – 2018 ($BILLION) 86
TABLE 40 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE(SMALL BUSINESS) VS Y-O-Y, BY EUROPE, 2013 – 2018 ($BILLION) 87
TABLE 41 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE(MEDIUM BUSINESS) VS Y-O-Y, BY EUROPE, 2013 – 2018 ($BILLION) 88
TABLE 42 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS Y-O-Y, BY EUROPE, 2013 – 2018 ($BILLION) 89
TABLE 43 PERSONAL CLOUD MARKET HOSTING REVENUE(USER HOSTING)
VS Y-O-Y, BY EUROPE, 2013 – 2018 ($BILLION) 90
TABLE 44 PERSONAL CLOUD MARKET REVENUE VS Y-O-Y, BY APAC,
2013 – 2018 ($BILLION) 92
TABLE 45 PERSONAL CLOUD MARKET DIRECT REVENUE VS Y-O-Y,
BY APAC, 2013 – 2018 ($BILLION) 93
TABLE 46 PERSONAL CLOUD MARKET INDIRECT REVENUE VS Y-O-Y,
BY APAC, 2013 – 2018 ($BILLION) 94
TABLE 47 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS)
VS Y-O-Y, BY APAC, 2013 – 2018 ($BILLION) 95
TABLE 48 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS Y-O-Y, BY APAC, 2013 – 2018 ($BILLION) 96
TABLE 49 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (MEDIUM BUSINESS) VS Y-O-Y, BY APAC, 2013 – 2018 ($BILLION) 97
TABLE 50 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS Y-O-Y, BY APAC, 2013 – 2018 ($BILLION) 98
TABLE 51 PERSONAL CLOUD MARKET HOSTING REVENUE(USER HOSTING)
VS Y-O-Y, BY APAC, 2013 – 2018 ($BILLION) 99
TABLE 52 PERSONAL CLOUD MARKET REVENUE VS Y-O-Y, BY MEA,
2013 – 2018 ($BILLION) 100
TABLE 53 PERSONAL CLOUD MARKET DIRECT REVENUE VS Y-O-Y, BY MEA,
2013 – 2018 ($BILLION) 101
TABLE 54 PERSONAL CLOUD MARKET INDIRECT REVENUE VS Y-O-Y, BY MEA, 2013 – 2018 ($BILLION) 102
TABLE 55 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS)
VS Y-O-Y, BY MEA, 2013 – 2018 ($BILLION) 103
TABLE 56 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS Y-O-Y, BY MEA, 2013 – 2018 ($BILLION) 104
TABLE 57 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (MEDIUM BUSINESS) VS Y-O-Y, BY MEA, 2013 – 2018 ($BILLION) 105
TABLE 58 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS Y-O-Y, BY MEA, 2013 – 2018 ($BILLION) 106
TABLE 59 PERSONAL CLOUD MARKET HOSTING REVENUE (USER HOSTING)
VS Y-O-Y, BY MEA, 2013 – 2018 ($BILLION) 107
TABLE 60 PERSONAL CLOUD MARKET REVENUE VS Y-O-Y, BY LATIN AMERICA, 2013 – 2018 ($BILLION) 109
TABLE 61 PERSONAL CLOUD MARKET DIRECT REVENUE VS Y-O-Y, BY LATIN AMERICA, 2013 – 2018 ($BILLION) 110
TABLE 62 PERSONAL CLOUD MARKET INDIRECT REVENUE VS Y-O-Y, BY LATIN AMERICA, 2013 – 2018 ($BILLION) 111
TABLE 63 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS)
VS Y-O-Y, BY LATIN AMERICA, 2013 – 2018 ($BILLION) 112
TABLE 64 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS Y-O-Y, BY LATIN AMERICA, 2013 – 2018 ($BILLION) 113
TABLE 65 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (MEDIUM BUSINESS) VS Y-O-Y, BY LATIN AMERICA, 2013 – 2018 ($BILLION) 114
TABLE 66 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS Y-O-Y, BY LATIN AMERICA, 2013 – 2018 ($BILLION) 115
TABLE 67 PERSONAL CLOUD MARKET HOSTING REVENUE(USER HOSTING) VS
Y-O-Y, BY LATIN AMERICA, 2013 – 2018 ($BILLION) 116
TABLE 68 SERVICE/FEATURE COMPARISON 130
TABLE 69 MERGERS & ACQUISITIONS 133
TABLE 70 CAPITAL FUNDING TRENDS 134

LIST OF FIGURES

FIGURE 1 PERSONAL CLOUD OVERVIEW 25
FIGURE 2 PERSONAL CLOUD MARKET REVENUE VS Y-O-Y, 2013 – 2018 30
FIGURE 3 PERSONAL CLOUD ECOSYSTEM 34
FIGURE 4 PERSONAL CLOUD VALUE CHAIN 36
FIGURE 5 PERSONAL CLOUD MARKET DIRECT REVENUE VS Y-O-Y,
2013 – 2018 ($BILLION) 38
FIGURE 6 PERSONAL CLOUD MARKET DIRECT REVENUE, BY GEOGRAPHIES,
2013 – 2018 ($BILLION) 39
FIGURE 7 PERSONAL CLOUD MARKET DIRECT REVENUE BY GEOGRAPHIES,
2013 – 2018, Y-O-Y 39
FIGURE 8 PERSONAL CLOUD MARKET INDIRECT REVENUE VS Y-O-Y,
2013 – 2018 ($BILLION) 41
FIGURE 9 PERSONAL CLOUD MARKET INDIRECT REVENUE,
BY GEOGRAPHIES,2013 – 2018 ($BILLION) 42
FIGURE 10 PERSONAL CLOUD MARKET INDIRECT REVENUE, BY GEOGRAPHIES, 2013 – 2018, Y-O-Y 43
FIGURE 11 PERSONAL CLOUD MARKET REVENUE, BY DEPLOYMENT,
2013 – 2018 ($BILLION) 46
FIGURE 12 PERSONAL CLOUD MARKET REVENUE, BY DEPLOYMENT,
2013 – 2018, Y-O-Y 47
FIGURE 13 PERSONAL CLOUD MARKET REVENUE VS Y-O-Y, BY INDIVIDUALS,
2013 – 2018 48
FIGURE 14 PERSONAL CLOUD MARKET BY INDIVIDUALS, BY GEOGRAPHIES,
2013 – 2018 ($BILLION) 50
FIGURE 15 PERSONAL CLOUD MARKET INDIVIDUAL REVENUE,
BY GEOGRAPHIES, 2013 – 2018, Y-O-Y 50
FIGURE 16 PERSONAL CLOUD MARKET REVENUE VS Y-O-Y,
BY SMALL BUSINESS, 2013 – 2018 52
FIGURE 17 PERSONAL CLOUD MARKET BY SMALL BUSINESS,
BY GEOGRAPHIES,2013 – 2018 ($BILLION) 54
FIGURE 18 PERSONAL CLOUD MARKET BY SMALL BUSINESS, BY GEOGRAPHIES, 2013 – 2018, Y-O-Y 54
FIGURE 19 PERSONAL CLOUD MARKET REVENUE VS Y-O-Y, BY MEDIUM BUSINESS, 2013 – 2018 56
FIGURE 20 PERSONAL CLOUD MARKET BY MEDIUM BUSINESS,
BY GEOGRAPHIES, 2013 – 2018 ($BILLION) 58
FIGURE 21 PERSONAL CLOUD MARKET BY MEDIUM BUSINESS, BY GEOGRAPHIES, 2013 – 2018, Y-O-Y 58
FIGURE 22 PERSONAL CLOUD MARKET REVENUEBY HOSTING,
2013 – 2018 ($BILLION) 62
FIGURE 23 PERSONAL CLOUD MARKET BY HOSTING, 2013 – 2018, Y-O-Y 63
FIGURE 24 PERSONAL CLOUD MARKET REVENUE VS Y-O-Y, BY PROVIDER HOSTING, 2013 – 2018 64
FIGURE 25 PERSONAL CLOUD MARKET BY PROVIDER HOSTING, BY GEOGRAPHIES, 2013 – 2018 ($BILLION) 66
FIGURE 26 PERSONAL CLOUD MARKET BY PROVIDER HOSTING,
BY GEOGRAPHIES, 2013 – 2018, Y-O-Y 66
FIGURE 27 PERSONAL CLOUD MARKET REVENUE VS Y-O-Y,
BY USER HOSTING, 2013 – 2018 68
FIGURE 28 PERSONAL CLOUD MARKET BY USER HOSTING, BY GEOGRAPHIES, 2013 – 2018 ($BILLION) 70
FIGURE 29 PERSONAL CLOUD MARKET BY USER HOSTING, BY GEOGRAPHIES, 2013 – 2018, Y-O-Y 70
FIGURE 30 PERSONAL CLOUDMARKET, REVENUES VS Y-O-Y, BY GEOGRAPHIES, 2013 – 2018 74
FIGURE 31 PERSONAL CLOUD MARKET REVENUE VS Y-O-Y,
BY NORTH AMERICA, 2013 – 2018 75
FIGURE 32 PERSONAL CLOUD MARKET DIRECT REVENUE VS Y-O-Y,
BY NORTH AMERICA, 2013 – 2018 76
FIGURE 33 PERSONAL CLOUD MARKET INDIRECT REVENUE VS Y-O-Y,
BY NORTH AMERICA, 2013 – 2018 77
FIGURE 34 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS)
VS Y-O-Y, BY NORTH AMERICA, 2013 – 2018 78
FIGURE 35 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS Y-O-Y, BY NORTH AMERICA, 2013 – 2018 79
FIGURE 36 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (MEDIUM BUSINESS) VS Y-O-Y, BY NORTH AMERICA, 2013 – 2018 80
FIGURE 37 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS Y-O-Y, BY NORTH AMERICA, 2013 – 2018 81
FIGURE 38 PERSONAL CLOUD MARKET HOSTING REVENUE (USER HOSTING)
VS Y-O-Y, BY NORTH AMERICA, 2013 – 2018 82
FIGURE 39 PERSONAL CLOUD MARKET REVENUE VS Y-O-Y, BY EUROPE,
2013 – 2018 84
FIGURE 40 PERSONAL CLOUD MARKET DIRECT REVENUE VS Y-O-Y,
BY EUROPE, 2013 – 2018 85
FIGURE 41 PERSONAL CLOUD MARKET INDIRECTREVENUE VS Y-O-Y,
BY EUROPE, 2013 – 2018 86
FIGURE 42 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE(INDIVIDUALS)
VS Y-O-Y, BY EUROPE, 2013 – 2018 87
FIGURE 43 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS Y-O-Y, BY EUROPE, 2013 – 2018 88
FIGURE 44 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (MEDIUM BUSINESS) VS Y-O-Y, BY EUROPE, 2013 – 2018 89
FIGURE 45 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS Y-O-Y, BY EUROPE, 2013 – 2018 90
FIGURE 46 PERSONAL CLOUD MARKET HOSTING REVENUE(USER HOSTING)
VS Y-O-Y, BY EUROPE, 2013 – 2018 91
FIGURE 47 PERSONAL CLOUD MARKET REVENUE VS Y-O-Y, BY APAC, 2013 – 2018 92
FIGURE 48 PERSONAL CLOUD MARKET DIRECT REVENUE VS Y-O-Y,
BY APAC, 2013 – 2018 93
FIGURE 49 PERSONAL CLOUD MARKET INDIRECTREVENUE VS Y-O-Y,
BY APAC, 2013 – 2018 94
FIGURE 50 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS)
VS Y-O-Y, BY APAC, 2013 – 2018 95
FIGURE 51 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS Y-O-Y, BY APAC, 2013 – 2018 96
FIGURE 52 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE
(MEDIUM BUSINESS) VS Y-O-Y, BY APAC, 2013 – 2018 97
FIGURE 53 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS Y-O-Y, BY APAC, 2013 – 2018 98
FIGURE 54 PERSONAL CLOUD MARKET HOSTING REVENUE (USER HOSTING)
VS Y-O-Y, BY APAC, 2013 – 2018 99
FIGURE 55 PERSONAL CLOUD MARKET REVENUE VS Y-O-Y, BY MEA, 2013 – 2018 101
FIGURE 56 PERSONAL CLOUD MARKET DIRECT REVENUE VS Y-O-Y,
BY MEA, 2013 – 2018 102
FIGURE 57 PERSONAL CLOUD MARKET INDIRECTREVENUE VS Y-O-Y,
BY MEA, 2013 – 2018 103
FIGURE 58 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS)
VS Y-O-Y, BY MEA, 2013 – 2018 104
FIGURE 59 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS Y-O-Y, BY MEA, 2013 – 2018 105
FIGURE 60 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE
(MEDIUM BUSINESS) VS Y-O-Y, BY MEA, 2013 – 2018 106
FIGURE 61 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS Y-O-Y, BY MEA, 2013 – 2018 107
FIGURE 62 PERSONAL CLOUD MARKET HOSTING REVENUE (USER HOSTING)
VS Y-O-Y, BY MEA, 2013 – 2018 108
FIGURE 63 PERSONAL CLOUD MARKET REVENUE VS Y-O-Y,
BY LATIN AMERICA, 2013 – 2018 109
FIGURE 64 PERSONAL CLOUD MARKET DIRECT REVENUE VS Y-O-Y,
BY LATIN AMERICA, 2013 – 2018 110
FIGURE 65 PERSONAL CLOUD MARKET INDIRECTREVENUE VS Y-O-Y,
BY LATIN AMERICA, 2013 – 2018 111
FIGURE 66 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (INDIVIDUALS)
VS Y-O-Y, BY LATIN AMERICA, 2013 – 2018 112
FIGURE 67 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE (SMALL BUSINESS) VS Y-O-Y, BY LATIN AMERICA, 2013 – 2018 113
FIGURE 68 PERSONAL CLOUD MARKET DEPLOYMENT REVENUE
(MEDIUM BUSINESS) VS Y-O-Y, BY LATIN AMERICA, 2013 – 2018 114
FIGURE 69 PERSONAL CLOUD MARKET HOSTING REVENUE (PROVIDER HOSTING) VS Y-O-Y, BY LATIN AMERICA, 2013 – 2018 115
FIGURE 70 PERSONAL CLOUD MARKET HOSTING REVENUE(USER HOSTING)
VS Y-O-Y, BY LATIN AMERICA, 2013 – 2018 116
FIGURE 71 PERSONAL CLOUD – CHASM 123
FIGURE 72 PERSONAL CLOUD – CROSSING THE CHASM 125
FIGURE 73 PERSONAL CLOUD – COMPETITOR ECOSYSTEM 129

To order this report:
IT_Hosting Industry:
Personal Cloud - Global Advancements, Business Models, Technology Roadmap, Forecasts & Analysis (2013 – 2018

_________________________
Contact Clare: [email protected]
US:(339) 368 6001
Intl:+1 339 368 6001

SOURCE Reportlinker

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

@ThingsExpo Stories
"Matrix is an ambitious open standard and implementation that's set up to break down the fragmentation problems that exist in IP messaging and VoIP communication," explained John Woolf, Technical Evangelist at Matrix, in this SYS-CON.tv interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
The Internet of Things will put IT to its ultimate test by creating infinite new opportunities to digitize products and services, generate and analyze new data to improve customer satisfaction, and discover new ways to gain a competitive advantage across nearly every industry. In order to help corporate business units to capitalize on the rapidly evolving IoT opportunities, IT must stand up to a new set of challenges. In his session at @ThingsExpo, Jeff Kaplan, Managing Director of THINKstrategies, will examine why IT must finally fulfill its role in support of its SBUs or face a new round of...
Cultural, regulatory, environmental, political and economic (CREPE) conditions over the past decade are creating cross-industry solution spaces that require processes and technologies from both the Internet of Things (IoT), and Data Management and Analytics (DMA). These solution spaces are evolving into Sensor Analytics Ecosystems (SAE) that represent significant new opportunities for organizations of all types. Public Utilities throughout the world, providing electricity, natural gas and water, are pursuing SmartGrid initiatives that represent one of the more mature examples of SAE. We have s...
We are reaching the end of the beginning with WebRTC, and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) i...
The Internet of Things will greatly expand the opportunities for data collection and new business models driven off of that data. In her session at @ThingsExpo, Esmeralda Swartz, CMO of MetraTech, discussed how for this to be effective you not only need to have infrastructure and operational models capable of utilizing this new phenomenon, but increasingly service providers will need to convince a skeptical public to participate. Get ready to show them the money!
One of the biggest challenges when developing connected devices is identifying user value and delivering it through successful user experiences. In his session at Internet of @ThingsExpo, Mike Kuniavsky, Principal Scientist, Innovation Services at PARC, described an IoT-specific approach to user experience design that combines approaches from interaction design, industrial design and service design to create experiences that go beyond simple connected gadgets to create lasting, multi-device experiences grounded in people's real needs and desires.
Scott Jenson leads a project called The Physical Web within the Chrome team at Google. Project members are working to take the scalability and openness of the web and use it to talk to the exponentially exploding range of smart devices. Nearly every company today working on the IoT comes up with the same basic solution: use my server and you'll be fine. But if we really believe there will be trillions of these devices, that just can't scale. We need a system that is open a scalable and by using the URL as a basic building block, we open this up and get the same resilience that the web enjoys.
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, discussed single-value, geo-spatial, and log time series data. By focusing on enterprise applications and the data center, he will use OpenTSDB as an example t...
P2P RTC will impact the landscape of communications, shifting from traditional telephony style communications models to OTT (Over-The-Top) cloud assisted & PaaS (Platform as a Service) communication services. The P2P shift will impact many areas of our lives, from mobile communication, human interactive web services, RTC and telephony infrastructure, user federation, security and privacy implications, business costs, and scalability. In his session at @ThingsExpo, Robin Raymond, Chief Architect at Hookflash, will walk through the shifting landscape of traditional telephone and voice services ...
The Domain Name Service (DNS) is one of the most important components in networking infrastructure, enabling users and services to access applications by translating URLs (names) into IP addresses (numbers). Because every icon and URL and all embedded content on a website requires a DNS lookup loading complex sites necessitates hundreds of DNS queries. In addition, as more internet-enabled ‘Things' get connected, people will rely on DNS to name and find their fridges, toasters and toilets. According to a recent IDG Research Services Survey this rate of traffic will only grow. What's driving t...
Enthusiasm for the Internet of Things has reached an all-time high. In 2013 alone, venture capitalists spent more than $1 billion dollars investing in the IoT space. With "smart" appliances and devices, IoT covers wearable smart devices, cloud services to hardware companies. Nest, a Google company, detects temperatures inside homes and automatically adjusts it by tracking its user's habit. These technologies are quickly developing and with it come challenges such as bridging infrastructure gaps, abiding by privacy concerns and making the concept a reality. These challenges can't be addressed w...
Explosive growth in connected devices. Enormous amounts of data for collection and analysis. Critical use of data for split-second decision making and actionable information. All three are factors in making the Internet of Things a reality. Yet, any one factor would have an IT organization pondering its infrastructure strategy. How should your organization enhance its IT framework to enable an Internet of Things implementation? In his session at Internet of @ThingsExpo, James Kirkland, Chief Architect for the Internet of Things and Intelligent Systems at Red Hat, described how to revolutioniz...
Bit6 today issued a challenge to the technology community implementing Web Real Time Communication (WebRTC). To leap beyond WebRTC’s significant limitations and fully leverage its underlying value to accelerate innovation, application developers need to consider the entire communications ecosystem.
The definition of IoT is not new, in fact it’s been around for over a decade. What has changed is the public's awareness that the technology we use on a daily basis has caught up on the vision of an always on, always connected world. If you look into the details of what comprises the IoT, you’ll see that it includes everything from cloud computing, Big Data analytics, “Things,” Web communication, applications, network, storage, etc. It is essentially including everything connected online from hardware to software, or as we like to say, it’s an Internet of many different things. The difference ...
Cloud Expo 2014 TV commercials will feature @ThingsExpo, which was launched in June, 2014 at New York City's Javits Center as the largest 'Internet of Things' event in the world.
SYS-CON Events announced today that Windstream, a leading provider of advanced network and cloud communications, has been named “Silver 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. Windstream (Nasdaq: WIN), a FORTUNE 500 and S&P 500 company, is a leading provider of advanced network communications, including cloud computing and managed services, to businesses nationwide. The company also offers broadband, phone and digital TV services to consumers primarily in rural areas.
"There is a natural synchronization between the business models, the IoT is there to support ,” explained Brendan O'Brien, Co-founder and Chief Architect of Aria Systems, in this SYS-CON.tv interview at the 15th International Cloud Expo®, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
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...
An entirely new security model is needed for the Internet of Things, or is it? Can we save some old and tested controls for this new and different environment? In his session at @ThingsExpo, New York's at the Javits Center, Davi Ottenheimer, EMC Senior Director of Trust, reviewed hands-on lessons with IoT devices and reveal a new risk balance you might not expect. Davi Ottenheimer, EMC Senior Director of Trust, has more than nineteen years' experience managing global security operations and assessments, including a decade of leading incident response and digital forensics. He is co-author of t...

ARMONK, N.Y., Nov. 20, 2014 /PRNewswire/ --  IBM (NYSE: IBM) today announced that it is bringing a greater level of control, security and flexibility to cloud-based application development and delivery with a single-tenant version of Bluemix, IBM's platform-as-a-service. The new platform enables developers to build ap...