Welcome!

iPhone Authors: Michael Shaulov, Shelly Palmer, Elizabeth White, Kevin Benedict, Yeshim Deniz

News Feed Item

Cloud Storage Market (Incl. Cloud Storage Gateways, Backup & Recovery, Data Movement & Access, Data Replication, Hsm & Archiving, Security And Storage Resource Management Solutions) - Worldwide Forecasts & Analysis (2012 - 2018)

NEW YORK, Dec. 17, 2012 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Cloud Storage Market (Incl. Cloud Storage Gateways, Backup & Recovery, Data Movement & Access, Data Replication, Hsm & Archiving, Security And Storage Resource Management Solutions) - Worldwide Forecasts & Analysis (2012 - 2018)
http://www.reportlinker.com/p01056409/Cloud-Storage-Market-Incl-Cloud-Storage-Gateways-Backup--Recovery-Data-Movement--Access-Data-Replication-Hsm--Archiving-Security-And-Storage-Resource-Management-Solutions---Worldwide-Forecasts--Analysis-2012---2018.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=IT_Hosting

Emergence of innovative storage technologies such as inline data deduplication, inline compression, WAN optimization, cloud based security solutions and storage gateways are pushing the growth of the Cloud Storage Market. Small and medium-sized businesses (SMBs) are rapidly adopting cloud based storage services to reduce cost and IT complexity compared to large enterprises, thereby pushing the market growth. The small and medium business segments are the major adopter of cloud storage services and this trend is expected to continue for next few years.

The report is based on the extensive research study of the Cloud Storage market and the related submarket within the ecosystem. The report is focused to give a bird's eye-view of the complete cloud storage industry with regards to products, software, hardware & services. It also provides a revenue distribution of the market based on various deployment models and organization size.

The report also focuses on various geographical markets for each of the sub segments within the cloud storage environment. The major geographical regions include North America, Western Europe, Eastern Europe, Japan, Asia Pacific (excluding Japan), Middle East & Africa and Latin America.

The competitive information in the reports competitive landscape and company profiles sections include key developments, core strategies, mergers and acquisitions, new product developments, joint ventures and collaboration of key industry players. The report also analyzes the market by discussing the market dynamics such as its influencing factors, drivers, restraint, opportunities and other market trends.

This report categorizes the global cloud storage market on the basis of types, products, deployment models, and organization size and industry verticals. This report also covers the main geographic regions such as North America, Western Europe, Eastern Europe, Middle East & Africa, Japan, APAC (Ex-Japan), and Latin America.

On the basis of types:

Hardware: Servers, Storage Devices, and Network Equipments
Software: Data Replication Software, Backup & Recovery Software, Hierarchical Storage Management (HSM) & Archiving Software, Security Software and Storage Resource Management (SRM) Software
Professional Services: Consulting Services, System & Network Integration, Deployment & Support, and Training & Education

On the basis of products:

Primary Storage Solutions
Backup Storage Solutions
Cloud Storage Gateway Solutions
Data Transfer & Movement Solutions
On the basis of deployments:

Public Cloud
Private Cloud
Hybrid Cloud
Community Cloud

On the basis of organization size:

Small Business
Medium Business
Enterprises
Large Enterprises

On the basis of industry:

BFSI
Consumer Goods & Retail
Telecommunications
Healthcare & Life Sciences
Media & Entertainment
Government
Business & Consulting Services
Research & Education
Energy
Manufacturing
Others

On the basis of geography:

North America
Western Europe
Eastern Europe
Middle East & Africa
Japan
APAC (Ex-Japan)
Latin America
Cloud storage market report will provide market data, market dynamics (drivers, restraints, trends and opportunities), key players, and competitive outlook. It also provides market tables for covering the sub-segments and micro-markets. In addition, the report covers 21 company profiles inclusive of all the sub-segments.

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 22
1.5 RESEARCH METHODOLOGY 22
1.5.1 FORECAST ASSUMPTIONS 23
2 EXECUTIVE SUMMARY 24
3 MARKET OVERVIEW 27
3.1 MARKET DEFINITION- CLOUD STORAGE 28
3.2 MARKET SEGMENTATION 29
3.3 OVERALL MARKETSIZE 31
3.4 MARKET DYNAMICS 32
3.4.1 DRIVERS 32
3.4.1.1 Emergence of Big Data & unstructured data drives maturing cloud storage market 32
3.4.1.2 Rapid adoption of cloud storage gateways 33
3.4.1.3 Consumerization of IT 33
3.4.2 RESTRAINTS 33
3.4.2.1 Apprehension about security of data in the cloud 33
3.4.2.2 BYOD Security 33
3.4.3 OPPORTUNITIES 34
3.4.3.1 Demand for cloud security solutions 34
3.4.4 WINNING IMPERATIVES 34
3.4.4.1 Strategic Partnerships 34

4 CLOUD STORAGE: MARKET SIZE, ANALYSIS & FORECAST
BY PRODUCTS 35
4.1 INTRODUCTION 36
4.2 PRIMARY STORAGE SOLUTIONS 38
4.2.1 OVERVIEW 38
4.2.2 MARKET SIZE AND FORECAST 39
4.3 BACKUP STORAGE SOLUTIONS 42
4.3.1 OVERVIEW 42
4.3.2 MARKET SIZE AND FORECAST 42
4.4 CLOUD STORAGE GATEWAY SOLUTIONS 45
4.4.1 OVERVIEW 45
4.4.2 MARKET SIZE AND FORECAST 46
4.5 DATA MOVEMENT & ACCESS SOLUTIONS 49
4.5.1 OVERVIEW 49
4.5.2 MARKET SIZE AND FORECAST 49
5 CLOUD STORAGE: MARKET SIZE, ANALYSIS & FORECAST
BY TYPES 52
5.1 OVERVIEW 53
5.2 CLOUD STORAGE MARKET BY SOFTWARE 55
5.2.1 DATA REPLICATION SOFTWARE 56
5.2.1.1 Overview 56
5.2.1.2 Market Size & Forecast 57
5.2.2 BACKUP & RECOVERY SOFTWARE 58
5.2.2.1 Overview 58
5.2.2.2 Market Size & Forecast 59
5.2.3 HSM & ARCHIVING SOFTWARE 60
5.2.3.1 Overview 60
5.2.3.2 Market Size & Forecast 61
5.2.4 SECURITY SOFTWARE 62
5.2.4.1 Overview 62
5.2.4.2 Market Size & Forecast 63
5.2.5 STORAGE RESOURCE MANAGEMENT SOFTWARE 64
5.2.5.1 Overview 64
5.2.5.2 Market Size & Forecast 65
5.3 CLOUD STORAGE MARKET BY HARDWARE TYPES 67
5.3.1 SERVERS 68
5.3.2 STORAGE 68
5.3.3 NETWORK EQUIPMENTS 69
5.4 CLOUD STORAGE MARKET BY PROFESSIONAL SERVICES 70
5.4.1 CONSULTING SERVICES 71
5.4.2 SYSTEM & NETWORK INTEGRATION 72
5.4.3 DEPLOYMENT & SUPPORT 72
5.4.4 TRAINING & EDUCATION 72
6 CLOUD STORAGE: MARKET SIZE, ANALYSIS & FORECAST
BY DEPLOYMENT 74
6.1 INTRODUCTION 75
6.2 PUBLIC CLOUD 77
6.3 PRIVATE CLOUD 77
6.4 HYBRID CLOUD 78
6.5 COMMUNITY CLOUD 78
7 CLOUD STORAGE: MARKET ANALYSIS & FORECAST,
BY ORGANIZATION SIZE 79
7.1 INTRODUCTION 80
7.2 SMALL BUSINESS 82
7.2.1 MARKET SIZE & FORECAST 82
7.3 MEDIUM BUSINESS 83
7.3.1 MARKET SIZE & FORECAST 83
7.4 ENTERPRISE 84
7.4.1 MARKET SIZE & FORECAST 84
7.5 LARGE ENTERPRISE 85
7.5.1 MARKET SIZE & FORECAST 85
8 CLOUD STORAGE: MARKET ANALYSIS & FORECAST,
BY INDUSTRY 87
8.1 OVERVIEW 88
8.2 BANKING, FINANCIAL SERVICES & INSURANCE (BFSI) 91
8.2.1 MARKET SIZE & FORECAST 91
8.3 CONSUMER GOODS & RETAIL 93
8.3.1 MARKET SIZE & FORECAST 93
8.4 TELECOMMUNICATIONS 95
8.4.1 MARKET SIZE & FORECAST 95
8.5 HEALTHCARE & LIFE SCIENCES 97
8.5.1 MARKET SIZE & FORECAST 97
8.6 MEDIA & ENTERTAINMENT 99
8.6.1 MARKET SIZE & FORECAST 99
8.7 GOVERNMENT 101
8.7.1 MARKET SIZE & FORECAST 101
8.8 BUSINESS & CONSULTING SERVICES 103
8.8.1 MARKET SIZE & FORECAST 103
8.9 RESEARCH & EDUCATION 105
8.9.1 MARKET SIZE & FORECAST 105
8.10 ENERGY 107
8.10.1 MARKET SIZE & FORECAST 107
8.11 MANUFACTURING 109
8.11.1 MARKET SIZE & FORECAST 109
8.12 OTHERS 111
8.12.1 MARKET SIZE & FORECAST 111
9 CLOUD STORAGE: MARKET ANALYSIS & FORECAST,
BY GEOGRAPHIES 112
9.1 OVERVIEW 112
9.2 NORTH AMERICA 114
9.2.1 MARKET SIZE & FORECAST 114
9.3 WESTERN EUROPE 115
9.3.1 MARKET SIZE & FORECAST 115
9.4 EASTERN EUROPE 117
9.4.1 MARKET SIZE & FORECAST 117
9.5 MIDDLE EAST & AFRICA 118
9.5.1 MARKET SIZE & FORECAST 118
9.6 JAPAN 119
9.6.1 MARKET SIZE & FORECAST 119
9.7 ASIA -PACIFIC (EX-JAPAN) 120
9.7.1 MARKET SIZE & FORECAST 120
9.8 LATIN AMERICA 122
9.8.1 MARKET SIZE & FORECAST 122
10 COMPETITIVE LANDSCAPE & INDUSTRY PLAYERS 124
10.1 NEW PRODUCT DEVELOPMENTS 124
10.2 MERGERS & ACQUISITION 131
10.3 VENTURE CAPITAL & FUNDING 137
11 COMPANY PROFILES 140
11.1 AMAZON WEB SERVICES LLC. 140
11.1.1 OVERVIEW 140
11.1.2 PRODUCTS & SERVICES 140
11.1.3 FINANCIALS 141
11.1.4 STRATEGY & ANALYST INSIGHTS 141
11.2 APPLE INC. 142
11.2.1 OVERVIEW 142
11.2.2 PRODUCTS & SERVICES 142
11.2.3 FINANCIALS 143
11.2.4 STRATEGY & ANALYST INSIGHTS 145
11.3 BOX, INC. 146
11.3.1 OVERVIEW 146
11.3.2 PRODUCTS & SERVICES 146
11.3.3 FINANCIALS 146
11.3.4 STRATEGY & ANALYST INSIGHTS 147
11.4 CTERA NETWORKS LTD. 148
11.4.1 OVERVIEW 148
11.4.2 PRODUCTS & SERVICES 148
11.4.3 FINANCIALS 149
11.4.4 STRATEGY & ANALYST INSIGHTS 149
11.5 DATADIRECT NETWORKS, INC. 150
11.5.1 OVERVIEW 150
11.5.2 PRODUCTS & SERVICES 150
11.5.3 FINANCIALS 151
11.5.4 STRATEGY & ANALYST INSIGHTS 151
11.6 DELL, INC. 153
11.6.1 OVERVIEW 153
11.6.2 PRODUCTS & SERVICES 154
11.6.3 FINANCIALS 154
11.6.4 STRATEGY & ANALYST INSIGHTS 156
11.7 EMC CORPORATION 157
11.7.1 OVERVIEW 157
11.7.2 PRODUCTS & SERVICES 158
11.7.3 FINANCIALS 159
11.7.4 STRATEGY & ANALYST INSIGHTS 160
11.8 F5 NETWORKS, INC. 161
11.8.1 OVERVIEW 161
11.8.2 PRODUCTS & SERVICES 161
11.8.3 FINANCIALS 162
11.8.4 STRATEGY & ANALYST INSIGHTS 162
11.9 FUJITSU LIMITED 163
11.9.1 OVERVIEW 163
11.9.2 PRODUCTS & SERVICES 163
11.9.3 FINANCIALS 164
11.9.4 STRATEGY & ANALYST INSIGHTS 165
11.10 GOOGLE INC. 167
11.10.1 OVERVIEW 167
11.10.2 PRODUCTS & SERVICES 167
11.10.3 FINANCIALS 168
11.10.4 STRATEGY & ANALYST INSIGHTS 169

11.11 HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. 171
11.11.1 OVERVIEW 171
11.11.2 PRODUCTS & SERVICES 171
11.11.3 FINANCIALS 172
11.11.4 STRATEGY & ANALYST INSIGHTS 173
11.12 IBM 174
11.12.1 OVERVIEW 174
11.12.2 PRODUCTS & SERVICES 175
11.12.3 FINANCIALS 177
11.12.4 STRATEGY & ANALYST INSIGHTS 179
11.13 MICROSOFT CORPORATION 180
11.13.1 OVERVIEW 180
11.13.2 PRODUCTS & SERVICES 181
11.13.3 FINANCIALS 181
11.13.4 STRATEGY & ANALYST INSIGHTS 183
11.14 NASUNI CORPORATION 184
11.14.1 OVERVIEW 184
11.14.2 PRODUCTS & SERVICES 184
11.14.3 FINANCIALS 185
11.14.4 STRATEGY & ANALYST INSIGHTS 185
11.15 NETAPP, INC. 186
11.15.1 OVERVIEW 186
11.15.2 PRODUCTS & SERVICES 186
11.15.3 FINANCIALS 187
11.15.4 STRATEGY & ANALYST INSIGHTS 188
11.16 NIRVANIX, INC. 190
11.16.1 OVERVIEW 190
11.16.2 PRODUCTS & SERVICES 190
11.16.3 FINANCIALS 192
11.16.4 STRATEGY & ANALYST INSIGHTS 192
11.17 RACKSPACE HOSTING, INC. 193
11.17.1 OVERVIEW 193
11.17.2 PRODUCTS & SERVICES 193
11.17.3 FINANCIALS 194
11.17.4 STRATEGY & ANALYST INSIGHTS 195
11.18 RIVERBED TECHNOLOGY, INC. 196
11.18.1 OVERVIEW 196
11.18.2 PRODUCTS & SERVICES 196
11.18.3 FINANCIALS 197
11.18.4 STRATEGY & ANALYST INSIGHTS 199
11.19 SUNGARD 200
11.19.1 OVERVIEW 200
11.19.2 PRODUCTS & SERVICES 200
11.19.3 FINANCIALS 201
11.19.4 STRATEGY & ANALYST INSIGHTS 203
11.20 VERIZON COMMUNICATIONS INC. 204
11.20.1 OVERVIEW 204
11.20.2 PRODUCTS & SERVICES 204
11.20.3 FINANCIALS 205
11.20.4 STRATEGY & ANALYST INSIGHTS 206
11.21 VMWARE, INC. 207
11.21.1 OVERVIEW 207
11.21.2 PRODUCTS & SERVICES 207
11.21.3 FINANCIALS 208
11.21.4 STRATEGY & ANALYST INSIGHTS 209

LIST OF TABLES


UU
TABLE 1 GLOBAL CLOUD STORAGE MARKET REVENUE & Y-O-Y,
2013 – 2018 ($BILLION) 25
TABLE 2 GLOBAL CLOUD STORAGE MARKET REVENUE, BY TYPES,
2013 – 2018 ($BILLION) 31
TABLE 3 GLOBAL CLOUD STORAGE MARKET, BY TYPES, BY PROPORTION,
2013 - 2018 (%) 32
TABLE 4 GLOBAL CLOUD STORAGE MARKET REVENUE, BY PRODUCTS,
2013 – 2018 ($BILLION) 36
TABLE 5 GLOBAL CLOUD STORAGE MARKET, BY PRODUCTS,
2013 - 2018 (Y-O-Y GROWTH %) 38
TABLE 6 PRIMARY STORAGE SOLUTIONS MARKET REVENUE, BY GEOGRAPHY, 2013 – 2018 ($MILLION) 39
TABLE 7 PRIMARY STORAGE SOLUTIONS MARKET REVENUE, BY ORGANISATION SIZE, 2013 – 2018 ($BILLION) 40
TABLE 8 PRIMARY STORAGE SOLUTIONS MARKET REVENUE, BY INDUSTRY,
2013 – 2018 ($MILLION) 41
TABLE 9 BACKUP STORAGE SOLUTIONS MARKET REVENUE, BY GEOGRAPHY, 2013 – 2018 ($MILLION) 42
TABLE 10 BACKUP STORAGE SOLUTIONS MARKET REVENUE, BY ORGANISATION SIZE, 2013 – 2018 ($BILLION) 43
TABLE 11 BACKUP STORAGE SOLUTIONS MARKET REVENUE, BY INDUSTRY,
2013 – 2018 ($MILLION) 44
TABLE 12 CLOUD STORAGE GATEWAY SOLUTIONS MARKET REVENUE,
BY GEOGRAPHY, 2013 – 2018 ($MILLION) 46
TABLE 13 CLOUD STORAGE GATEWAY SOLUTIONS MARKET REVENUE,
BY ORGANISATION SIZE, 2013 – 2018 ($MILLION) 47
TABLE 14 CLOUD STORAGE GATEWAY SOLUTIONS MARKET REVENUE,
BY INDUSTRY, 2013 – 2018 ($MILLION) 48
TABLE 15 DATA MOVEMENT AND ACCESS SOLUTIONS MARKET REVENUE, 49
TABLE 16 BY GEOGRAPHY, 2013 -2018 ($MILLION) 49
TABLE 17 DATA MOVEMENT AND ACCESS SOLUTIONS MARKET REVENUE,
BY ORGANISATION SIZE, 2013 – 2018 ($MILLION) 50
TABLE 18 DATA MOVEMENT AND ACCESS SOLUTIONS MARKET REVENUE,
BY INDUSTRY, 2013 – 2018 ($MILLION) 51
TABLE 19 GLOBAL CLOUD STORAGE MARKET REVENUE, BY TYPES,
2013 – 2018 ($BILLION) 53
TABLE 20 GLOBAL CLOUD STORAGE MARKET, BY TYPES,
2013 – 2018 (Y-O-Y GROWTH %) 54
TABLE 21 GLOBAL CLOUD STORAGE MARKET REVENUE, BY SOFTWARE TYPES, 2013 – 2018 ($BILLION) 55
TABLE 22 GLOBAL CLOUD STORAGE MARKET, BY SOFTWARE TYPES,
2013 – 2018 (Y-O-Y GROWTH %) 56
TABLE 23 DATA REPLICATION SOFTWARE MARKET REVENUE, BY GEOGRAPHY, 2013 – 2018 ($MILLION) 57
TABLE 24 DATA REPLICATION SOFTWARE MARKET REVENUE BY ORGANIZATION SIZE 2013 – 2018 ($MILLION) 58
TABLE 25 BACKUP & RECOVERY SOFTWARE MARKET REVENUE, BY GEOGRAPHY, 2013 – 2018 ($MILLION) 59
TABLE 26 BACKUP & RECOVERY SOFTWARE MARKET REVENUE,
BY ORGANIZATION SIZE, 2013 – 2018 ($MILLION) 60
TABLE 27 HSM & ARCHIVING SOFTWARE MARKET REVENUE, BY GEOGRAPHY, 2013 – 2018 ($MILLION) 61
TABLE 28 HSM & ARCHIVING SOFTWARE MARKET REVENUE, BY ORGANIZATION SIZE, 2013 – 2018 ($MILLION) 62
TABLE 29 SECURITY SOFTWARE MARKET REVENUE, BY GEOGRAPHY,
2013 – 2018 ($MILLION) 63
TABLE 30 SECURITY SOFTWARE MARKET REVENUE, BY ORGANIZATION SIZE, 2013 – 2018 ($MILLION) 64
TABLE 31 SRM SOFTWARE MARKET REVENUE, BY GEOGRAPHY,
2013 – 2018 ($MILLION) 65
TABLE 32 SRM SOFTWARE MARKET REVENUE, BY ORGANIZATION SIZE,
2013 – 2018 ($MILLION) 66
TABLE 33 GLOBAL CLOUD STORAGE MARKET REVENUE, BY HARDWARE TYPES, 2013 – 2018 ($BILLION) 67
TABLE 34 GLOBAL CLOUD STORAGE MARKET, BY HARDWARE TYPES,
2013 – 2018 (Y-O-Y GROWTH %) 68
TABLE 35 GLOBAL CLOUD STORAGE MARKET REVENUE, BY PROFESSIONAL SERVICES, 2013 – 2018 ($MILLION) 70
TABLE 36 GLOBAL CLOUD STORAGE MARKET, BY PROFESSIONAL SERVICES, 2013 – 2018 (Y-O-Y GROWTH %) 71
TABLE 37 GLOBAL CLOUD STORAGE MARKET REVENUE, BY DEPLOYMENT,
2013 – 2018 ($BILLION) 75
TABLE 38 GLOBAL CLOUD STORAGE MARKET, BY DEPLOYMENT,
2013 – 2018 (Y-O-Y GROWTH %) 76
TABLE 39 GLOBAL CLOUD STORAGE MARKET, BY DEPLOYMENT,
BY PROPORTION, 2013 - 2018 (%) 76
TABLE 40 GLOBAL CLOUD STORAGE MARKET REVENUE, BY ORGANIZATION SIZE, 2013 – 2018 ($BILLION) 80
TABLE 41 GLOBAL CLOUD STORAGE MARKET, BY ORGANIZATION SIZE,
2013 – 2018 (Y-O-Y GROWTH %) 81
TABLE 42 SMALL BUSINESS CLOUD STORAGE MARKET REVENUE,
BY GEOGRAPHY SIZE, 2013 – 2018 ($MILLION) 82
TABLE 43 MEDIUM BUSINESS CLOUD STORAGE MARKET REVENUE,
BY GEOGRAPHY SIZE, 2013 – 2018 ($MILLION) 83
TABLE 44 ENTERPRISE CLOUD STORAGE MARKET REVENUE,
BY GEOGRAPHY SIZE, 2013 – 2018 ($MILLION) 84
TABLE 45 LARGE ENTERPRISE CLOUD STORAGE MARKET REVENUE,
BY GEOGRAPHY SIZE, 2013 – 2018 ($MILLION) 85
TABLE 46 GLOBAL CLOUD STORAGE MARKET REVENUE, BY INDUSTRY,
2013 – 2018 ($BILLION) 88
TABLE 47 GLOBAL CLOUD STORAGE MARKET, BY INDUSTRY,
2013 – 2018 (Y-O-Y GROWTH %) 89
TABLE 48 BANKING, FINANCIAL SERVICES & INSURANCE (BFSI) CLOUD STORAGE MARKET REVENUE, BY GEOGRAPHY, 2013 – 2018 ($MILLION) 91
TABLE 49 BANKING, FINANCIAL SERVICES & INSURANCE (BFSI) CLOUD STORAGE MARKET REVENUE, BY TYPES, 2013 – 2018 ($MILLION) 92
TABLE 50 CONSUMER GOODS & RETAIL CLOUD STORAGE MARKET REVENUE,
BY GEOGRAPHY, 2013 – 2018 ($MILLION) 93
TABLE 51 CONSUMER GOODS & RETAIL CLOUD STORAGE MARKET REVENUE,
BY TYPES, 2013 – 2018 ($MILLION) 94
TABLE 52 TELECOMMUNICATIONS CLOUD STORAGE MARKET REVENUE,
BY GEOGRAPHY, 2013 – 2018 ($MILLION) 95
TABLE 53 TELECOMMUNICATIONS CLOUD STORAGE MARKET REVENUE,
BY TYPES, 2013 – 2018 ($MILLION) 96
TABLE 54 HEALTHCARE & LIFE SCIENCES CLOUD STORAGE MARKET REVENUE,
BY GEOGRAPHY, 2013 – 2018 ($MILLION) 97
TABLE 55 HEALTHCARE & LIFE SCIENCES CLOUD STORAGE MARKET REVENUE, BY TYPES, 2013 – 2018 ($MILLION) 98
TABLE 56 MEDIA & ENTERTAINMENT CLOUD STORAGE MARKET REVENUE,
BY GEOGRAPHY, 2013 – 2018 ($MILLION) 99
TABLE 57 MEDIA & ENTERTAINMENT CLOUD STORAGE MARKET REVENUE,
BY TYPES, 2013 – 2018 ($MILLION) 100
TABLE 58 GOVERNMENT CLOUD STORAGE MARKET REVENUE, BY GEOGRAPHY, 2013 – 2018 ($MILLION) 101
TABLE 59 GOVERNMENT CLOUD STORAGE MARKET REVENUE, BY TYPES,
2013 – 2018 ($MILLION) 102
TABLE 60 BUSINESS & CONSULTING SERVICES CLOUD STORAGE MARKET REVENUE, BY GEOGRAPHY, 2013 – 2018 ($MILLION) 103
TABLE 61 BUSINESS & CONSULTING SERVICES CLOUD STORAGE MARKET REVENUE, BY TYPES, 2013 – 2018 ($MILLION) 104
TABLE 62 RESEARCH & EDUCATION CLOUD STORAGE MARKET REVENUE,
BY GEOGRAPHY, 2013 – 2018 ($MILLION) 105
TABLE 63 RESEARCH & EDUCATION CLOUD STORAGE MARKET REVENUE,
BY TYPES, 2013 – 2018 ($MILLION) 106
TABLE 64 ENERGY CLOUD STORAGE MARKET REVENUE, BY GEOGRAPHY,
2013 – 2018 ($MILLION) 107
TABLE 65 ENERGY CLOUD STORAGE MARKET REVENUE, BY TYPES,
2013 – 2018 ($MILLION) 108
TABLE 66 MANUFACTURING CLOUD STORAGE MARKET REVENUE,
BY GEOGRAPHY, 2013 – 2018 ($MILLION) 109
TABLE 67 MANUFACTURING CLOUD STORAGE MARKET REVENUE, BY TYPES,
2013 – 2018 ($MILLION) 110
TABLE 68 GLOBAL CLOUD STORAGE MARKET REVENUE, BY GEOGRAPHY,
2013 – 2018 ($MILLION) 112
TABLE 69 GLOBAL CLOUD STORAGE MARKET, BY GEOGRAPHY,
2012 - 2018 (Y-O-Y GROWTH %) 113
TABLE 70 NORTH AMERICA CLOUD STORAGE MARKET REVENUE, BY INDUSTRY, 2013 – 2018 ($MILLION) 114
TABLE 71 WESTERN EUROPE CLOUD STORAGE MARKET REVENUE, BY INDUSTRY, 2013 – 2018 ($MILLION) 115
TABLE 72 EASTERN EUROPE CLOUD STORAGE MARKET REVENUE, BY INDUSTRY, 2013 – 2018 ($MILLION) 117
TABLE 73 MIDDLE EAST & AFRICA CLOUD STORAGE MARKET REVENUE,
BY INDUSTRY, 2013 – 2018 ($MILLION) 118
TABLE 74 JAPAN CLOUD STORAGE MARKET REVENUE, BY INDUSTRY,
2013 – 2018 ($MILLION) 119
TABLE 75 ASIA -PACIFIC (EX-JAPAN) CLOUD STORAGE MARKET REVENUE,
BY INDUSTRY, 2013 – 2018 ($MILLION) 120
TABLE 76 LATIN AMERICA CLOUD STORAGE MARKET REVENUE, BY INDUSTRY, 2013 – 2018 ($MILLION) 122
TABLE 77 NEW PRODUCT DEVELOPMENTS, 2010 - 2012 124
TABLE 78 MERGERS & ACQUISITION, 2010 - 2012 131
TABLE 79 VENTURE CAPITAL & FUNDING, 2008 - 2012 137
TABLE 80 APPLE: REVENUE, 2011 - 2012 ($MILLION) 143
TABLE 81 APPLE: REVENUE BY SEGMENT, 2011 - 2012 ($MILLION) 144
TABLE 82 APPLE: REVENUE BY GEOGRAPHY, 2011 - 2012 ($MILLION) 145
TABLE 83 DELL: REVENUE, 2011 - 2012 ($MILLION) 154
TABLE 84 DELL: REVENUE BY SEGMENT, 2011 - 2012 ($MILLION) 155
TABLE 85 DELL: REVENUE BY GEOGRAPHY, 2011 - 2012 ($MILLION) 155
TABLE 86 EMC: REVENUE, 2010 - 2011 ($MILLION) 159
TABLE 87 EMC: REVENUE BY SEGMENT, 2010 - 2011 ($MILLION) 159
TABLE 88 EMC: REVENUE BY GEOGRAPHY, 2010 - 2011 ($MILLION) 160
TABLE 89 F5: REVENUE, 2010 - 2011 ($MILLION) 162
TABLE 90 FUJITSU: REVENUE, 2011 - 2012 ($MILLION) 164
TABLE 91 FUJITSU: REVENUE BY SEGMENT, 2011 - 2012 ($MILLION) 165
TABLE 92 FUJITSU: REVENUE BY GEOGRAPHY, 2011 - 2012 ($MILLION) 165
TABLE 93 GOOGLE: REVENUE, 2010-2011 ($NMILLION) 168
TABLE 94 GOOGLE: REVENUE BY SEGMENT, 2010 - 2011 ($MILLION) 169
TABLE 95 GOOGLE: REVENUE BY GEOGRAPHY, 2010 - 2011 ($MILLION) 169
TABLE 96 HP: REVENUE, 2010 - 2011 ($MILLION) 172
TABLE 97 HP: REVENUE BY SEGMENT, 2010 - 2011 ($MILLION) 172
TABLE 98 HP: REVENUE BY GEOGRAPHY, 2010 - 2011 ($MILLION) 173
TABLE 99 IBM: REVENUE, 2010 - 2011 ($MILLION) 177
TABLE 100 IBM: REVENUE BY SEGMENT, 2010 - 2011 ($MILLION) 178
TABLE 101 IBM: REVENUE BY GEOGRAPHY, 2010 - 2011 ($MILLION) 178
TABLE 102 MICROSOFT: REVENUE, 2011 - 2012 ($MILLION) 181
TABLE 103 MICROSOFT: REVENUE BY SEGMENT, 2011 - 2012 ($MILLION) 182
TABLE 104 MICROSOFT: REVENUE BY GEOGRAPHY, 2011 - 2012 ($MILLION) 183
TABLE 105 NETAPP: REVENUE, 2011 - 2012 ($MILLION) 187
TABLE 106 NETAPP: REVENUE BY SEGMENT, 2011 - 2012 ($MILLION) 188
TABLE 107 NETAPP: REVENUE BY GEOGRAPHY, 2011 - 2012 ($MILLION) 188
TABLE 108 RACKSPACE: REVENUE, 2010 - 2011 ($MILLION) 194
TABLE 109 RACKSPACE: REVENUE BY SEGMENT, 2010 - 2011 ($MILLION) 195
TABLE 110 RACKSPACE: REVENUE BY GEOGRAPHY, 2010 - 2011 ($MILLION) 195
TABLE 111 RIVERBED: REVENUE, 2010 - 2011 ($MILLION) 197
TABLE 112 RIVERBED: REVENUE BY SEGMENT, 2010 - 2011 ($MILLION) 198
TABLE 113 RIVERBED: REVENUE BY GEOGRAPHY, 2010 - 2011 ($MILLION) 198
TABLE 114 SUNGARD: REVENUE, 2010 - 2011 ($MILLION) 201
TABLE 115 SUNGARD: REVENUE BY SEGMENT, 2010 - 2011 ($MILLION) 202
TABLE 116 SUNGARD: REVENUE BY GEOGRAPHY, 2010 - 2011 ($MILLION) 202
TABLE 117 VERIZON: REVENUE, 2010 - 2011 ($MILLION) 205
TABLE 118 VERIZON: REVENUE BY SEGMENT, 2010 - 2011 ($MILLION) 206
TABLE 119 VMWARE: REVENUE, 2010 - 2011 ($MILLION) 208
TABLE 120 VMWARE: REVENUE BY SEGMENT, 2010 - 2011 ($MILLION) 209
TABLE 121 VMWARE: REVENUE BY GEOGRAPHY, 2010 - 2011 ($MILLION) 209

LIST OF FIGURES

FIGURE 1 GLOBAL CLOUD STORAGE MARKET REVENUE, BY GEOGRAPHY,
2013 – 2018 ($BILLION) 26
FIGURE 2 CLOUD STORAGE MARKET SEGMENTATION 29
FIGURE 3 CLOUD STORAGE MARKET SEGMENTATION 30
FIGURE 4 CLOUD STORAGE MARKET REVENUE, BY PRODUCTS,
2013 - 2018 ($BILLION) & Y-O-Y GROWTH (%) 37
FIGURE 5 GLOBAL CLOUD STORAGE MARKET, BY TYPES,
2012 - 2018 (Y-O-Y GROWTH %) 54

To order this report:
IT_Hosting Industry:
Cloud Storage Market (Incl. Cloud Storage Gateways, Backup & Recovery, Data Movement & Access, Data Replication, Hsm & Archiving, Security And Storage Resource Management Solutions) - Worldwide Forecasts & Analysis (2012 - 2018)

_________________________
Contact Nicolas: [email protected]
US: (805)-652-2626
Intl: +1 805-652-2626

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
The Internet of Things (IoT) is going to require a new way of thinking and of developing software for speed, security and innovation. This requires IT leaders to balance business as usual while anticipating for the next market and technology trends. Cloud provides the right IT asset portfolio to help today’s IT leaders manage the old and prepare for the new. Today the cloud conversation is evolving from private and public to hybrid. This session will provide use cases and insights to reinforce the value of the network in helping organizations to maximize their company’s cloud experience.
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 spoken with, or attended presentations from, utilities in the United States, South America, Asia and Europe. This session will provide a look at the CREPE drivers for SmartGrids and the solution spaces used by SmartGrids today and planned for the near future. All organizations can learn from SmartGrid’s use of Predictive Maintenance, Demand Prediction, Cloud, Big Data and Customer-facing Dashboards...
IoT is still a vague buzzword for many people. In his session at Internet of @ThingsExpo, Mike Kavis, Vice President & Principal Cloud Architect at Cloud Technology Partners, will discuss the business value of IoT that goes far beyond the general public's perception that IoT is all about wearables and home consumer services. The presentation will also discuss how IoT is perceived by investors and how venture capitalist access this space. Other topics to discuss are barriers to success, what is new, what is old, and what the future may hold.
Whether you're a startup or a 100 year old enterprise, the Internet of Things offers a variety of new capabilities for your business. IoT style solutions can help you get closer your customers, launch new product lines and take over an industry. Some companies are dipping their toes in, but many have already taken the plunge, all while dramatic new capabilities continue to emerge. In his session at Internet of @ThingsExpo, Reid Carlberg, Senior Director, Developer Evangelism at salesforce.com, to discuss real-world use cases, patterns and opportunities you can harness today.
All major researchers estimate there will be tens of billions devices – computers, smartphones, tablets, and sensors – connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo in Silicon Valley. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!
Noted IoT expert and researcher Joseph di Paolantonio (pictured below) has joined the @ThingsExpo faculty. Joseph, who describes himself as an “Independent Thinker” from DataArchon, will speak on the topic of “Smart Grids & Managing Big Utilities.” Over his career, Joseph di Paolantonio has worked in the energy, renewables, aerospace, telecommunications, and information technology industries. His expertise is in data analysis, system engineering, Bayesian statistics, data warehouses, business intelligence, data mining, predictive methods, and very large databases (VLDB). Prior to DataArchon, he served as a VP and Principal Analyst with Constellation Group. He is a member of the Boulder (Colo.) Brain Trust, an organization with a mission “to benefit the Business Intelligence and data management industry by providing pro bono exchange of information between vendors and independent analysts on new trends and technologies and to provide vendors with constructive feedback on their of...
Software AG helps organizations transform into Digital Enterprises, so they can differentiate from competitors and better engage customers, partners and employees. Using the Software AG Suite, companies can close the gap between business and IT to create digital systems of differentiation that drive front-line agility. We offer four on-ramps to the Digital Enterprise: alignment through collaborative process analysis; transformation through portfolio management; agility through process automation and integration; and visibility through intelligent business operations and big data.
There will be 50 billion Internet connected devices by 2020. Today, every manufacturer has a propriety protocol and an app. How do we securely integrate these "things" into our lives and businesses in a way that we can easily control and manage? Even better, how do we integrate these "things" so that they control and manage each other so our lives become more convenient or our businesses become more profitable and/or safe? We have heard that the best interface is no interface. In his session at Internet of @ThingsExpo, Chris Matthieu, Co-Founder & CTO at Octoblu, Inc., will discuss how these devices generate enough data to learn our behaviors and simplify/improve our lives. What if we could connect everything to everything? I'm not only talking about connecting things to things but also systems, cloud services, and people. Add in a little machine learning and artificial intelligence and now we have something interesting...
Last week, while in San Francisco, I used the Uber app and service four times. All four experiences were great, although one of the drivers stopped for 30 seconds and then left as I was walking up to the car. He must have realized I was a blogger. None the less, the next car was just a minute away and I suffered no pain. In this article, my colleague, Ved Sen, Global Head, Advisory Services Social, Mobile and Sensors at Cognizant shares his experiences and insights.
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) irreversibly encoded. In his session at Internet of @ThingsExpo, Peter Dunkley, Technical Director at Acision, will look at how this identity problem can be solved and discuss ways to use existing web identities for real-time communication.
Can call centers hang up the phones for good? Intuitive Solutions did. WebRTC enabled this contact center provider to eliminate antiquated telephony and desktop phone infrastructure with a pure web-based solution, allowing them to expand beyond brick-and-mortar confines to a home-based agent model. It also ensured scalability and better service for customers, including MUY! Companies, one of the country's largest franchise restaurant companies with 232 Pizza Hut locations. This is one example of WebRTC adoption today, but the potential is limitless when powered by IoT. Attendees will learn real-world benefits of WebRTC and explore future possibilities, as WebRTC and IoT intersect to improve customer service.
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 Internet of @ThingsExpo, Ivelin Ivanov, CEO and Co-Founder of Telestax, will share 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, an Open Source Cloud Communications company that helps the shift from legacy IN/SS7 telco networks to IP-based cloud comms. An early investor in multiple start-ups, he still finds time to code for his companies and contribute to open source projects.
The Internet of Things (IoT) promises to create new business models as significant as those that were inspired by the Internet and the smartphone 20 and 10 years ago. What business, social and practical implications will this phenomenon bring? That's the subject of "Monetizing the Internet of Things: Perspectives from the Front Lines," an e-book released today and available free of charge from Aria Systems, the leading innovator in recurring revenue management.
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.
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. In her session at 6th Big Data Expo®, Hannah Smalltree, Director at Treasure Data, to discuss how IoT, Big Data and deployments are processing massive data volumes from wearables, utilities and other machines.
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 Internet of @ThingsExpo, Erik Lagerway, Co-founder of Hookflash, will walk through the shifting landscape of traditional telephone and voice services to the modern P2P RTC era of OTT cloud assisted services.
While great strides have been made relative to the video aspects of remote collaboration, audio technology has basically stagnated. Typically all audio is mixed to a single monaural stream and emanates from a single point, such as a speakerphone or a speaker associated with a video monitor. This leads to confusion and lack of understanding among participants especially regarding who is actually speaking. Spatial teleconferencing introduces the concept of acoustic spatial separation between conference participants in three dimensional space. This has been shown to significantly improve comprehension and conference efficiency.
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, will discuss 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 to explain some of these concepts including when to use different storage models.
SYS-CON Events announced today that Gridstore™, the leader in software-defined storage (SDS) purpose-built for Windows Servers and Hyper-V, will exhibit at SYS-CON's 15th International Cloud Expo®, which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. Gridstore™ is the leader in software-defined storage purpose built for virtualization that is designed to accelerate applications in virtualized environments. Using its patented Server-Side Virtual Controller™ Technology (SVCT) to eliminate the I/O blender effect and accelerate applications Gridstore delivers vmOptimized™ Storage that self-optimizes to each application or VM across both virtual and physical environments. Leveraging a grid architecture, Gridstore delivers the first end-to-end storage QoS to ensure the most important App or VM performance is never compromised. The storage grid, that uses Gridstore’s performance optimized nodes or capacity optimized nodes, starts with as few a...
The Transparent Cloud-computing Consortium (abbreviation: T-Cloud Consortium) will conduct research activities into changes in the computing model as a result of collaboration between "device" and "cloud" and the creation of new value and markets through organic data processing High speed and high quality networks, and dramatic improvements in computer processing capabilities, have greatly changed the nature of applications and made the storing and processing of data on the network commonplace. These technological reforms have not only changed computers and smartphones, but are also changing the data processing model for all information devices. In particular, in the area known as M2M (Machine-To-Machine), there are great expectations that information with a new type of value can be produced using a variety of devices and sensors saving/sharing data via the network and through large-scale cloud-type data processing. This consortium believes that attaching a huge number of devic...