Click here to close now.

Welcome!

Websphere Authors: Mike Kavis, Elizabeth White, Liz McMillan, Pat Romanski, Carmen Gonzalez

News Feed Item

Global Enterprise Social Software (ESS) Market : Global Advancements, Demand Analysis & Worldwide Market Forecasts (2013 - 2018)

NEW YORK, Feb. 18, 2013 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Global Enterprise Social Software (ESS) Market : Global Advancements, Demand Analysis & Worldwide Market Forecasts (2013 – 2018)

http://www.reportlinker.com/p01102819/Global-Enterprise-Social-Software-ESS-Market--Global-Advancements-Demand-Analysis--Worldwide-Market-Forecasts- 2013-–-2018.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Software

Enterprise Social Software (ESS) refers to a social networking layer on top of tradition collaborative tools, which enables content sharing, along with additional features such as document sharing, wikis, micro blogging, shared spaces and communities, amongst other business applications. These solutions provide enterprises with several advantages including increased transparency, better communication of business ideas and information, flexibility and performance along with simplified operations.

Rising need for enterprise internetworking amongst employees, partners, distributors, suppliers and others in the business value chain has given way to growing employment of ESS across desktops, laptops and mobile personal devices. While enterprises across the globe are looking forward to incubate ESS into their current work scenarios, ESS providers look forward to gain better competitive advantage in the emerging market by creating new technological features that facilitate the quicker adoption of these.

MarketsandMarkets believes that the need for increasing enterprise productivity, along with cost control measures is playing a pivotal role in shaping the future of enterprise social software. Even though the adoption of these tools is relatively slow due to closed mindsets of the top management ; these solutions are expected to grow steadily and have a pervasive existence across all major verticals, owing to the growing demand of 'social connectedness', on a real-time basis. These solutions are well positioned to bring businesses closer, despite time zone barriers and organizational structures. MarketsandMarkets further expects that the integration of enterprise social software tools with the existing collaborative organizational tools and applications will further enhance the growth of enterprises, while ensuring their compliance and regulatory policies.

The Enterprise Social Software (ESS) market is broadly segmented by type of deployment models: On-premise and On-demand; By type of service consumers: Small Office Home Office(SOHO), Small and Medium Businesses(SMB), Enterprises; By type of verticals: Banking and Finance Service Insurance (BFSI), Academia and Government, Healthcare and Life Sciences, Retail, High Tech and Telecommunications and other sectors; By geographies: North America(NA), Asia Pacific and China(APAC), Europe(EU), Middle East Africa(MEA) and Latin America(LA).

This research report categorizes the global market for Enterprise Social Software in each of the following sub-markets:

On the basis of Deployment and Service:

On Demand (SaaS)

On Premise

On the basis of Service Consumers:

Small Office Home Office (SOHO)

Small and Medium Businesses (SMB)

Enterprises

On the basis of Verticals:

Academia and Government

Banking, Financial Services and Insurance (BFSI)

Healthcare and Life Sciences

Retail

High Tech and Telecommunications

Others

On the basis of Geography:

North America (NA)

Europe (EU)

Middle-East Africa (MEA)

Asia-Pacific (APAC)

Latin America (LA)

TABLE OF CONTENTS

1 INTRODUCTION 20

1.1 KEY TAKE-AWAYS 201.2 REPORT DESCRIPTION 201.3 MARKETS COVERED 221.4 STAKEHOLDERS 231.5 FORECAST ASSUMPTIONS 231.6 RESEARCH METHODOLOGY 241.6.1 SECONDARY RESEARCH 241.6.2 PRIMARY RESEARCH 251.6.3 DATA TRIANGULATION 25

2 EXECUTIVE SUMMARY 26

3 MARKET OVERVIEW 28

3.1 MARKET DEFINITION 29

3.2 MARKET SEGMENTATION 30

3.3 ENTERPRISE SOCIAL SOFTWARE ECOSYSTEM 30

3.3.1 STANDALONE SOCIAL SOFTWARE SOLUTION PROVIDERS 31

3.3.2 COLLABORATION SOLUTION PROVIDERS 31

3.3.3 ENTERPRISE APPLICATION ADD-ON PROVIDERS 31

3.4 OVERALL MARKET SIZE 32

3.5 PUBLIC SOCIAL SOLUTIONS VS ENTERPRISE SOCIAL SOLUTIONS COMPARISON 33

3.6 MARKET DYNAMICS 34

3.6.1 DRIVERS 34

3.6.1.1 Enterprise social adds value to businesses 34

3.6.1.2 Accommodating features 35

3.6.1.3 Employees popular demand 35

3.6.1.4 Riding the current trend 35

3.6.2 RESTRAINTS AND CHALLENGES 35

3.6.2.1 Skeptical approach 35

3.6.2.2 Initial setup costs 36

3.6.2.3 Profusion of tools and lack of integration 36

3.6.3 OPPORTUNITIES 36

3.6.3.1 Multi-vertical focus 37

3.6.3.2 Bring your own device (BYOD) ecosystem 37

3.6.4 IMPACT ANALYSIS OF DROS 37

4 ENTERPRISE SOCIAL SOFTWARE: MARKET SIZE AND FORECAST BY DEPLOYMENT 39

4.1 INTRODUCTION 40

4.2 ON-PREMISE 42

4.2.1 OVERVIEW 42

4.2.2 MARKET SIZE AND FORECAST BY VERTICAL 42

4.2.3 MARKET SIZE AND FORECAST BY END-USER 45

4.2.4 MARKET SIZE AND FORECAST BY GEOGRAPHY 47

4.3 ON-DEMAND (SAAS) 49

4.3.1 OVERVIEW 49

4.3.2 MARKET SIZE AND FORECAST BY VERTICAL 49

4.3.3 MARKET SIZE AND FORECAST BY END-USER 51

4.3.4 MARKET SIZE AND FORECAST BY GEOGRAPHY 54

5 ENTERPRISE SOCIAL SOFTWARE: MARKET SIZE AND FORECAST BY TYPE OF SERVICE CONSUMER 56

5.1 SMALL OFFICE/HOME OFFICE (SOHO) 59

5.1.1 OVERVIEW 59

5.1.2 MARKET SIZE AND FORECAST BY VERTICAL 59

5.2 SMALL AND MEDIUM BUSINESSES (SMB) 62

5.2.1 OVERVIEW 62

5.2.2 MARKET SIZE AND FORECAST BY VERTICAL 62

5.3 ENTERPRISES 65

5.3.1 OVERVIEW 65

5.3.2 MARKET SIZE AND FORECAST BY VERTICAL 65

6 ENTERPRISE SOCIAL SOFTWARE: MARKET SIZE AND FORECAST BY TYPE OF VERTICALS 68

6.1 INTRODUCTION 69

6.2 ACADEMIA & GOVERNMENT 72

6.2.1 OVERVIEW 72

6.2.2 MARKET SIZE AND FORECAST BY TYPE OF DEPLOYMENT 72

6.2.3 MARKET SIZE AND FORECAST BY TYPE OF END-USER 75

6.2.4 MARKET SIZE AND FORECAST BY GEOGRAPHY 76

6.3 BANKING, FINANCIAL SERVICES & INSURANCE (BFSI) 79

6.3.1 OVERVIEW 79

6.3.2 MARKET SIZE AND FORECAST BY TYPE OF DEPLOYMENT 79

6.3.3 MARKET SIZE AND FORECAST BY TYPE OF END-USER 81

6.3.4 MARKET SIZE AND FORECAST BY TYPE OF GEOGRAPHY 83

6.4 HEALTHCARE & LIFE SCIENCES 86

6.4.1 OVERVIEW 86

6.4.2 MARKET SIZE AND FORECAST BY TYPE OF DEPLOYMENT 86

6.4.3 MARKET SIZE AND FORECAST BY TYPE OF END-USER 88

6.4.4 MARKET SIZE AND FORECAST BY GEOGRAPHY 90

6.5 HIGH TECH AND TELECOMMUNICATIONS 92

6.5.1 OVERVIEW 92

6.5.2 MARKET SIZE AND FORECAST BY TYPE OF DEPLOYMENT 92

6.5.3 MARKET SIZE AND FORECAST BY TYPE OF END-USER 95

6.5.4 MARKET SIZE AND FORECAST BY GEOGRAPHY 97

6.6 RETAIL 99

6.6.1 OVERVIEW 99

6.6.2 MARKET SIZE AND FORECAST BY TYPE OF DEPLOYMENT 99

6.6.3 MARKET SIZE AND FORECAST BY TYPE OF END-USER 101

6.6.4 MARKET SIZE AND FORECAST BY GEOGRAPHY 103

6.7 OTHERS 105

6.7.1 OVERVIEW 105

6.7.2 MARKET SIZE AND FORECAST BY TYPE OF DEPLOYMENT 106

6.7.3 MARKET SIZE AND FORECAST BY TYPE OF END-USER 108

6.7.4 MARKET SIZE AND FORECAST BY GEOGRAPHY 110

7 ENTERPRISE SOCIAL SOFTWARE: MARKET SIZE AND FORECAST BY GEOGRAPHIES 112

7.1 NORTH AMERICA(NA) 116

7.1.1 OVERVIEW 116

7.1.2 MARKET SIZE AND FORECAST BY TYPE OF END-USER 116

7.2 EUROPE (EU) 118

7.2.1 OVERVIEW 118

7.2.2 MARKET SIZE AND FORECAST BYTYPE OF END-USER 118

7.3 ASIA-PACIFIC AND JAPAN (APAC) 121

7.3.1 OVERVIEW 121

7.3.2 MARKET SIZE AND FORECAST BY TYPE OF END-USER 121

7.4 MIDDLE EAST AND AFRICA (MEA) 124

7.4.1 OVERVIEW 124

7.4.2 MARKET SIZE AND FORECAST BY TYPE OF END-USER 124

7.5 LATIN AMERICA (LA) 126

7.5.1 OVERVIEW 126

7.5.2 MARKET SIZE AND FORECAST BY TYPE OF END-USER 126

8 ENTERPRISE SOCIAL SOFTWARE: DEMAND ANALYSIS 129

8.1 TECHNOLOGY SOLUTIONS (USAGE PERCENTAGE) 130

8.1.1 DOCUMENT MANAGEMENT AND COLLABORATION 131

8.1.2 INSTANT MESSAGING 131

8.1.3 ENTERPRISE WIKIS AND SHARED SPACES 131

8.1.4 ENTERPRISE SOCIAL NETWORKING GROUPS 132

8.1.5 ENTERPRISE MICROBLOGGING 132

8.1.6 ENTERPRISE COMMUNITY AND BLOGS 132

8.2 ENTERPRISE FUNCTIONS (USAGE PERCENTAGE) 133

8.2.1 HUMAN RESOURCES (HR) 133

8.2.2 INFORMATION TECHNOLOGY (IT) 134

8.2.3 MARKETING 134

8.2.4 OPERATIONS 134

8.2.5 RESEARCH AND DEVELOPMENT (R&D) 135

8.2.6 SALES 135

8.2.7 OTHERS 136

9 ENTERPRISE SOCIAL SOFTWARE: PAIN POINTS AND FUTURE APPROACHES 137

9.1 PAIN POINTS – NOW 137

9.1.1 COMPLIANCE ISSUES 137

9.1.2 NASCENT SOCIAL BUSINESS MATURITY 137

9.1.3 LACK OF METRICS FOR BENCHMARKING 138

9.2 FUTURE FOCUS AND OPPORTUNITIES 139

9.2.1 VALUE CREATION :BY RELATIONSHIPS VS TECHNOLOGY 139

9.2.2 ENTERPRISE GOES SOCIAL 139

9.2.3 INTEGRATION OF EXISTING PLATFORMS 140

10 COMPETITIVE LANDSCAPE 141

10.1 VENTURE CAPITAL FUNDING 141

10.2 MERGERS AND ACQUISITIONS 144

10.3 JOINT VENTURE & COLLABORATIONS 158

10.4 NEW PRODUCT LAUNCHES 161

11 COMPANY PROFILES 166

11.1 ACQUIA 166

11.1.1 OVERVIEW 166

11.1.2 FINANCIALS 166

11.1.3 STRATEGY AND INSIGHTS 167

11.2 ATLASSIAN 169

11.2.1 OVERVIEW 169

11.2.2 PRODUCTS AND SERVICES 169

11.2.3 FINANCIALS 169

11.2.4 STRATEGIES AND INSIGHTS 170

11.3 ATOS ORIGINS 171

11.3.1 OVERVIEW 171

11.3.2 PRODUCTS AND SERVICES 171

11.3.3 FINANCIALS 172

11.3.4 STRATEGIES AND INSIGHTS 172

11.4 AUTODESK 173

11.4.1 OVERVIEW 173

11.4.2 FINANCIALS 174

11.4.3 STRATEGIES AND INSIGHTS 174

11.5 BROADVISION 176

11.5.1 OVERVIEW 176

11.5.2 FINANCIALS 177

11.5.3 STRATEGIES AND INSIGHTS 177

11.6 CISCO 179

11.6.1 OVERVIEW 179

11.6.2 PRODUCTS AND SOLUTIONS 179

11.6.3 FINANCIALS 180

11.6.4 STRATEGIES AND INSIGHTS 180

11.7 CITRIX 181

11.7.1 OVERVIEW 181

11.7.2 PRODUCTS AND SERVICES 181

11.7.3 FINANCIALS 182

11.7.4 STRATEGIES AND INSIGHTS 182

11.8 GOOGLE INC 183

11.8.1 OVERVIEW 183

11.8.2 FINANCIALS 183

11.8.3 STRATEGIES AND INSIGHTS 183

11.9 HARMON.IE 185

11.9.1 OVERVIEW 185

11.9.2 FINANCIALS 185

11.9.3 STRATEGY AND INSIGHTS 186

11.10 HYPEROFFICE 187

11.10.1 OVERVIEW 187

11.10.2 PRODUCTS AND SOLUTIONS 187

11.10.3 FINANCIALS 188

11.10.4 STRATEGIES AND INSIGHTS 189

11.11 IBM 190

11.11.1 OVERVIEW 190

11.11.2 PRODUCTS AND SERVICES 190

11.11.3 FINANCIALS 191

11.11.4 STRATEGIES AND INSIGHTS 191

11.12 JIVE INC 193

11.12.1 OVERVIEW 193

11.12.2 FINANCIALS 194

11.12.3 STRATEGY AND INSIGHTS 194

11.13 LIFERAY 196

11.13.1 OVERVIEW 196

11.13.2 PRODUCTS AND SERVICES 196

11.13.3 FINANCIALS 196

11.13.4 STRATEGIES AND INSIGHTS 197

11.14 LITHIUM 198

11.14.1 OVERVIEW 198

11.14.2 FINANCIALS 198

11.14.3 STRATEGIES AND INSIGHTS 198

11.15 MANGOAPPS 200

11.15.1 OVERVIEW 200

11.15.2 PRODUCTS AND SERVICES 200

11.15.3 FINANCIALS 201

11.15.4 STRATEGY AND INSIGHTS 201

11.16 MICROSOFT 202

11.16.1 OVERVIEW 202

11.16.2 PRODUCTS AND SERVICES 202

11.16.3 FINANCIALS 203

11.16.4 STRATEGIES AND INSIGHTS 203

11.17 NEWSGATOR TECHNOLOGIES 204

11.17.1 OVERVIEW 204

11.17.2 PRODUCTS AND SERVICES 204

11.17.3 FINANCIALS 205

11.17.4 STRATEGIES AND INSIGHTS 205

11.18 OPEN TEXT CORP 206

11.18.1 OVERVIEW 206

11.18.2 PRODUCTS AND SERVICES 206

11.18.3 FINANCIALS 207

11.18.4 STRATEGIES AND INSIGHTS 207

11.19 SALESFORCE 209

11.19.1 OVERVIEW 209

11.19.2 PRODUCTS AND SERVICES 209

11.19.3 FINANCIALS 210

11.19.4 STRATEGIES AND INSIGHTS 210

11.20 SOCIALTEXT 212

11.20.1 OVERVIEW 212

11.20.2 PRODUCTS/OFFERINGS 212

11.20.3 FINANCIALS 213

11.20.4 STRATEGIES AND INSIGHTS 213

11.21 TELLIGENT 215

11.21.1 OVERVIEW 215

11.21.2 PRODUCTS AND SERVICES 215

11.21.3 FINANCIALS 215

11.21.4 STRATEGIES AND INSIGHTS 216

11.22 TIBCO 217

11.22.1 OVERVIEW 217

11.22.2 PRODUCTS AND SERVICES 217

11.22.3 FINANCIALS 218

11.22.4 STRATEGIES AND INSIGHTS 218

11.23 VMWARE 220

11.23.1 OVERVIEW 220

11.23.2 PRODUCTS AND SERVICES 220

11.23.3 FINANCIALS 221

11.23.4 STRATEGIES AND INSIGHTS 221

11.24 ZYNCRO TECH 222

11.24.1 OVERVIEW 222

11.24.2 PRODUCTS AND SOLUTIONS 222

11.24.3 FINANCIALS 223

11.24.4 STRATEGIES AND INSIGHTS 223

11.25 OTHER KEY INNOVATORS 225

11.25.1 ATTACHMATE-NOVELL 225

11.25.2 DOUBLEDUTCH 225

11.25.3 IMMER-UPTODATE 226

11.25.4 INNOV8TIF SOLUTIONS 227

11.25.5 MAGNET SYSTEMS 227

11.25.6 MOXIE SOFTWARE 227

11.25.7 MZINGA 228

11.25.8 ORACLE 229

11.25.9 SABA 230

11.25.10 SAP (SUCCESSFACTORS-CUBETREE) 230

LIST OF TABLES

TABLE 1 FORECAST ASSUMPTIONS 23

TABLE 2 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE,

2013 – 2018 ($MILLION) 27

TABLE 3 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE,

2013 – 2018 ($MILLION) 32

TABLE 4 IMPACT ANALYSIS OF DROS ON THE ESN MARKET 38

TABLE 5 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE,

BY TYPE OF DEPLOYMENT, 2013 – 2018 ($MILLION) 40

TABLE 6 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE,

BY TYPE OF DEPLOYMENT, BY PROPORTION, 2013 – 2018 (%) 41

TABLE 7 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE,

BY TYPE OF DEPLOYMENT, 2013 – 2018 (Y-O-Y %) 41

TABLE 8 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-PREMISE,

BY VERTICAL, 2013 – 2018 ($MILLION) 43

TABLE 9 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-PREMISE

BY VERTICAL, 2013 – 2018 (Y-O-Y %) 44

TABLE 10 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-PREMISE,

BY END-USER, 2013 – 2018 ($MILLION) 45

TABLE 11 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-PREMISE,

BY END-USER, 2013 – 2018 (Y-O-Y %) 46

TABLE 12 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-PREMISE,

BY GEOGRAPHY, 2013 – 2018 ($MILLION) 47

TABLE 13 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-PREMISE,

BY GEOGRAPHY, 2013 – 2018 (Y-O-Y %) 48

TABLE 14 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-DEMAND,

BY VERTICAL, 2013 – 2018 ($MILLION) 49

TABLE 15 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-DEMAND,

BY VERTICAL, 2013 – 2018 (Y-O-Y %) 50

TABLE 16 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-DEMAND,

BY END-USER, 2013 – 2018 ($MILLION) 52

TABLE 17 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-DEMAND,

BY END-USER, 2013 – 2018 (Y-O-Y %) 53

TABLE 18 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-DEMAND,

BY GEOGRAPHY, 2013 – 2018 ($MILLION) 54

TABLE 19 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-DEMAND,

BY GEOGRAPHY, 2013 – 2018 (Y-O-Y %) 55

TABLE 20 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY END-USER,

2013 – 2018 ($MILLION) 57

TABLE 21 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY END-USER,

BY PROPORTION, 2013 – 2018 (%) 58

TABLE 22 GLOBAL ENTERPRISE SOCIAL MARKET, BY END-USER,

2013 – 2018 (Y-O-Y %) 58

TABLE 23 GLOBAL SOHO - ENTERPRISE SOCIAL MARKET REVENUE, BY VERTICAL, 2013 – 2018 ($MILLION) 60

TABLE 24 GLOBAL SOHO - ENTERPRISE SOCIAL MARKET REVENUE, BY VERTICAL, 2013 – 2018 (Y-O-Y %) 61

TABLE 25 GLOBAL SMB - ENTERPRISE SOCIAL MARKET REVENUE, BY VERTICAL, 2013 – 2018 ($MILLION) 63

TABLE 26 GLOBAL SMB - ENTERPRISE SOCIAL MARKET REVENUE, BY VERTICAL, 2013 – 2018 (Y-O-Y %) 64

TABLE 27 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ENTERPRISES,

BY VERTICAL , 2013 – 2018 ($MILLION) 66

TABLE 28 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ENTERPRISES,

BY VERTICAL, 2013 – 2018 (Y-O-Y %) 67

TABLE 29 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY VERTICAL,

2013 – 2018 ($MILLION) 69

TABLE 30 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY VERTICAL,

BY PROPORTION, 2013 – 2018 (%) 70

TABLE 31 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY VERTICAL,

2013 – 2018 (Y-O-Y %) 71

TABLE 32 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ACAD & GOVT,

BY TYPE OF DEPLOYMENT, 2013 – 2018 ($MILLION) 73

TABLE 33 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ACAD & GOVT,

BY TYPE OF DEPLOYMENT, 2013 – 2018 (Y-O-Y %) 74

TABLE 34 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ACAD & GOVT,

BY TYPE END-USER, 2013 – 2018 ($MILLION) 75

TABLE 35 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ACAD & GOVT,

BY TYPE OF END-USER, 2013 – 2018 (Y-O-Y %) 76

TABLE 36 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ACAD & GOVT,

BY GEOGRAPHY, 2013 – 2018 ($MILLION) 77

TABLE 37 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ACAD & GOVT,

BY GEOGRAPHY, 2013 – 2018 (Y-O-Y %) 78

TABLE 38 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY BFSI BY TYPE OF DEPLOYMENT, 2013 – 2018 ($MILLION) 80

TABLE 39 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY BFSI BY TYPE OF DEPLOYMENT, 2013 – 2018 (Y-O-Y %) 80

TABLE 40 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY BFSI BY TYPE OF DEPLOYMENT, 2013 – 2018 (Y-O-Y %) 81

TABLE 41 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY BFSI BY TYPE OF END-USER, 2013 – 2018 ($MILLION) 82

TABLE 42 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY BFSI BY TYPE OF END-USER, 2013 – 2018 (Y-O-Y %) 82

TABLE 43 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY BFSI

BY GEOGRAPHY, 2013 – 2018 ($MILLION) 84

TABLE 44 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY BFSI

BY GEOGRAPHY, 2013 – 2018 (Y-O-Y %) 85

TABLE 45 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HEALTHCARE,

BY TYPE OF DEPLOYMENT, 2013 – 2018 ($MILLION) 87

TABLE 46 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HEALTHCARE,

BY TYPE OF DEPLOYMENT, 2013 – 2018 (Y-O-Y %) 87

TABLE 47 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HEALTHCARE,

BY TYPE OF END-USER, 2013 – 2018 ($MILLION) 88

TABLE 48 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HEALTHCARE,

BY TYPE OF END-USER, 2013 – 2018 (Y-O-Y %) 89

TABLE 49 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HEALTHCARE,

BY GEOGRAPHY, 2013 – 2018 ($MILLION) 90

TABLE 50 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HEALTHCARE,

BY GEOGRAPHY, 2013 – 2018 (Y-O-Y %) 91

TABLE 51 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HIGH TECH & TELECOM, BY TYPE OF DEPLOYMENT, 2013 – 2018 ($MILLION) 93

TABLE 52 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HIGH TECH & TELECOM, BY TYPE OF DEPLOYMENT, 2013 – 2018 (Y-O-Y %) 94

TABLE 53 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HIGH TECH & TELECOM, BY TYPE OF END-USER, 2013 – 2018 ($MILLION) 95

TABLE 54 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HIGH TECH & TELECOM, BY TYPE OF END-USER, 2013 – 2018 (Y-O-Y %) 96

TABLE 55 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HIGH TECH & TELECOM, BY GEOGRAPHY, 2013 – 2018 ($MILLION) 97

TABLE 56 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HIGH TECH & TELECOM, BY GEOGRAPHY, 2013 – 2018 (Y-O-Y %) 98

TABLE 57 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY RETAIL,

BY TYPE OF DEPLOYMENT, 2013 – 2018 ($MILLION) 100

TABLE 58 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY RETAIL,

BY TYPE OF DEPLOYMENT, 2013 – 2018 (Y-O-Y %) 100

TABLE 59 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY RETAIL,

BY TYPE OF END-USER, 2013 – 2018 ($MILLION) 101

TABLE 60 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY RETAIL,

BY TYPE OF END-USER, 2013 – 2018 (Y-O-Y %) 102

TABLE 61 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY RETAIL,

BY GEOGRAPHY, 2013 – 2018 ($MILLION) 103

TABLE 62 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY RETAIL,

BY GEOGRAPHY, 2013 – 2018 (Y-O-Y %) 104

TABLE 63 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY OTHERS,

BY TYPE OF DEPLOYMENT, 2013 – 2018 ($MILLION) 106

TABLE 64 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY OTHERS,

BY TYPE OF DEPLOYMENT, 2013 – 2018 (Y-O-Y %) 107

TABLE 65 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY OTHERS,

BY TYPE OF END-USER, 2013 – 2018 ($MILLION) 108

TABLE 66 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY OTHERS,

BY TYPE OF END-USER, 2013 – 2018 (Y-O-Y %) 109

TABLE 67 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY OTHERS,

BY GEOGRAPHY, 2013 – 2018 ($MILLION) 110

TABLE 68 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY OTHERS,

BY GEOGRAPHY, 2013 – 2018 (Y-O-Y %) 111

TABLE 69 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY GEOGRAPHY,

2013 – 2018 ($MILLION) 113

TABLE 70 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY GEOGRAPHY,

BY PROPORTION, 2013 – 2018 (%) 114

TABLE 71 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY GEOGRAPHY,

2013 – 2018 (Y-O-Y %) 115

TABLE 72 ENTERPRISE SOCIAL MARKET REVENUE, BY NA, BY TYPE OF

END-USER, 2013 – 2018 ($MILLION) 117

TABLE 73 ENTERPRISE SOCIAL MARKET REVENUE, BY NA, BY TYPE OF

END-USER, 2013 – 2018 (Y-O-Y %) 117

TABLE 74 ENTERPRISE SOCIAL MARKET REVENUE, BY EUROPE, BY TYPE OF

END-USER, 2013 – 2018 ($MILLION) 119

TABLE 75 ENTERPRISE SOCIAL MARKET REVENUE, BY EUROPE, BY TYPE OF

END-USER, 2013 – 2018 (Y-O-Y %) 120

TABLE 76 ENTERPRISE SOCIAL MARKET REVENUE, BY APAC, BY TYPE OF

END-USER, 2013 – 2018 ($MILLION) 122

TABLE 77 ENTERPRISE SOCIAL MARKET REVENUE, BY APAC, BY TYPE OF

END-USER, 2013 – 2018 (Y-O-Y %) 123

TABLE 78 ENTERPRISE SOCIAL MARKET REVENUE, BY MEA, BY TYPE OF

END-USER, 2013 – 2018 ($MILLION) 124

TABLE 79 ENTERPRISE SOCIAL MARKET REVENUE, BY MEA, BY TYPE OF

END-USER, 2013 – 2018 (Y-O-Y %) 125

TABLE 80 ENTERPRISE SOCIAL MARKET REVENUE, BY LA, BY TYPE OF

END-USER, 2013 – 2018 ($MILLION) 127

TABLE 81 ENTERPRISE SOCIAL MARKET REVENUE, BY LA, BY TYPE OF

END-USER, 2013 – 2018 (Y-O-Y %) 127

LIST OF FIGURES

FIGURE 1 GLOBAL ENTERPRISE SOCIAL MARKET, 2013 – 2018 (Y-O-Y %) 32

FIGURE 2 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE,

BY TYPE OF DEPLOYMENT, 2013 – 2018 (Y-O-Y %) 42

FIGURE 3 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-PREMISE

BY VERTICAL, 2013 – 2018 (Y-O-Y %) 44

FIGURE 4 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-PREMISE,

BY END-USER, 2013 – 2018 (Y-O-Y %) 46

FIGURE 5 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-PREMISE,

BY GEOGRAPHY, 2013 – 2018 (Y-O-Y %) 48

FIGURE 6 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-DEMAND,

BY VERTICAL, 2013 – 2018 (Y-O-Y %) 51

FIGURE 7 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-DEMAND,

BY END-USER, 2013 – 2018 (Y-O-Y %) 53

FIGURE 8 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ON-DEMAND,

BY GEOGRAPHY, 2013 – 2018 (Y-O-Y %) 55

FIGURE 9 GLOBAL ENTERPRISE SOCIAL MARKET, BY END-USER,

2013 – 2018 (Y-O-Y %) 59

FIGURE 10 GLOBAL SOHO - ENTERPRISE SOCIAL MARKET REVENUE,

BY VERTICAL, 2013 – 2018 (Y-O-Y %) 61

FIGURE 11 GLOBAL SMB - ENTERPRISE SOCIAL MARKET REVENUE,

BY VERTICAL, 2013 – 2018 (Y-O-Y %) 64

FIGURE 12 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ENTERPRISES,

BY VERTICAL, 2013 – 2018 (Y-O-Y %) 67

FIGURE 13 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY VERTICAL,

2013 – 2018 (Y-O-Y %) 71

FIGURE 14 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ACAD & GOVT,

BY TYPE OF DEPLOYMENT, 2013 – 2018 (Y-O-Y %) 74

FIGURE 15 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ACAD & GOVT,

BY TYPE OF END-USER, 2013 – 2018 (Y-O-Y %) 76

FIGURE 16 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY ACAD & GOVT,

BY GEOGRAPHY, 2013 – 2018 (Y-O-Y %) 78

FIGURE 17 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY BFSI

BY TYPE OF DEPLOYMENT, 2013 – 2018 (Y-O-Y %) 81

FIGURE 18 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY BFSI

BY TYPE OF END-USER, 2013 – 2018 (Y-O-Y %) 83

FIGURE 19 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY BFSI

BY GEOGRAPHY, 2013 – 2018 (Y-O-Y %) 85

FIGURE 20 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HEALTHCARE,

BY TYPE OF DEPLOYMENT, 2013 – 2018 (Y-O-Y %) 88

FIGURE 21 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HEALTHCARE,

BY TYPE OF END-USER, 2013 – 2018 (Y-O-Y %) 89

FIGURE 22 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HEALTHCARE,

BY GEOGRAPHY, 2013 – 2018 (Y-O-Y %) 91

FIGURE 23 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HIGH TECH & TELECOM, BY TYPE OF DEPLOYMENT, 2013 – 2018 (Y-O-Y %) 94

FIGURE 24 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HIGH TECH & TELECOM, BY TYPE OF END-USER, 2013 – 2018 (Y-O-Y %) 96

FIGURE 25 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY HIGH TECH & TELECOM, BY GEOGRAPHY, 2013 – 2018 (Y-O-Y %) 98

FIGURE 26 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY RETAIL,

BY TYPE OF DEPLOYMENT, 2013 – 2018 (Y-O-Y %) 101

FIGURE 27 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY RETAIL,

BY TYPE OF END-USER, 2013 – 2018 (Y-O-Y %) 102

FIGURE 28 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY RETAIL,

BY GEOGRAPHY, 2013 – 2018 (Y-O-Y %) 104

FIGURE 29 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY OTHERS,

BY TYPE OF DEPLOYMENT, 2013 – 2018 (Y-O-Y %) 107

FIGURE 30 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY OTHERS,

BY TYPE OF END-USER, 2013 – 2018 (Y-O-Y %) 109

FIGURE 31 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY OTHERS,

BY GEOGRAPHY, 2013 – 2018 (Y-O-Y %) 111

FIGURE 32 GLOBAL ENTERPRISE SOCIAL MARKET REVENUE, BY GEOGRAPHY,

2013 – 2018 (Y-O-Y %) 115

FIGURE 33 ENTERPRISE SOCIAL MARKET REVENUE, BY NA, BY TYPE OF

END-USER, 2013 – 2018 (Y-O-Y %) 118

FIGURE 34 ENTERPRISE SOCIAL MARKET REVENUE, BY EUROPE, BY TYPE OF

END-USER, 2013 – 2018 (Y-O-Y %) 120

FIGURE 35 ENTERPRISE SOCIAL MARKET REVENUE, BY APAC, BY TYPE OF

END-USER, 2013 – 2018 (Y-O-Y %) 123

FIGURE 36 ENTERPRISE SOCIAL MARKET REVENUE, BY MEA, BY TYPE OF

END-USER, 2013 – 2018 (Y-O-Y %) 125

FIGURE 37 ENTERPRISE SOCIAL MARKET REVENUE, BY LA, BY TYPE OF

END-USER, 2013 – 2018 (Y-O-Y %) 128

FIGURE 38 ENTERPRISE SOCIAL SOFTWARE, USAGE PERCENTAGE BY FEATURES 130

FIGURE 39 ENTERPRISE SOCIAL SOFTWARE, USAGE PERCENTAGE BY FEATURES 133

To order this report:Software Industry: Global Enterprise Social Software (ESS) Market : Global Advancements, Demand Analysis & Worldwide Market Forecasts (2013 – 2018)

Nicolas Bombourg
Reportlinker
Email: nicolasbombourg@reportlinker.com
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
Disruptive macro trends in technology are impacting and dramatically changing the "art of the possible" relative to supply chain management practices through the innovative use of IoT, cloud, machine learning and Big Data to enable connected ecosystems of engagement. Enterprise informatics can now move beyond point solutions that merely monitor the past and implement integrated enterprise fabrics that enable end-to-end supply chain visibility to improve customer service delivery and optimize supplier management. Learn about enterprise architecture strategies for designing connected systems tha...
Dale Kim is the Director of Industry Solutions at MapR. His background includes a variety of technical and management roles at information technology companies. While his experience includes work with relational databases, much of his career pertains to non-relational data in the areas of search, content management, and NoSQL, and includes senior roles in technical marketing, sales engineering, and support engineering. Dale holds an MBA from Santa Clara University, and a BA in Computer Science from the University of California, Berkeley.
Wearable devices have come of age. The primary applications of wearables so far have been "the Quantified Self" or the tracking of one's fitness and health status. We propose the evolution of wearables into social and emotional communication devices. Our BE(tm) sensor uses light to visualize the skin conductance response. Our sensors are very inexpensive and can be massively distributed to audiences or groups of any size, in order to gauge reactions to performances, video, or any kind of presentation. In her session at @ThingsExpo, Jocelyn Scheirer, CEO & Founder of Bionolux, will discuss ho...
The cloud is now a fact of life but generating recurring revenues that are driven by solutions and services on a consumption model have been hard to implement, until now. In their session at 16th Cloud Expo, Ermanno Bonifazi, CEO & Founder of Solgenia, and Ian Khan, Global Strategic Positioning & Brand Manager at Solgenia, will discuss how a top European telco has leveraged the innovative recurring revenue generating capability of the consumption cloud to enable a unique cloud monetization model to drive results.
As organizations shift toward IT-as-a-service models, the need for managing and protecting data residing across physical, virtual, and now cloud environments grows with it. CommVault can ensure protection &E-Discovery of your data – whether in a private cloud, a Service Provider delivered public cloud, or a hybrid cloud environment – across the heterogeneous enterprise. In his session at 16th Cloud Expo, Randy De Meno, Chief Technologist - Windows Products and Microsoft Partnerships, will discuss how to cut costs, scale easily, and unleash insight with CommVault Simpana software, the only si...
Analytics is the foundation of smart data and now, with the ability to run Hadoop directly on smart storage systems like Cloudian HyperStore, enterprises will gain huge business advantages in terms of scalability, efficiency and cost savings as they move closer to realizing the potential of the Internet of Things. In his session at 16th Cloud Expo, Paul Turner, technology evangelist and CMO at Cloudian, Inc., will discuss the revolutionary notion that the storage world is transitioning from mere Big Data to smart data. He will argue that today’s hybrid cloud storage solutions, with commodity...
Every innovation or invention was originally a daydream. You like to imagine a “what-if” scenario. And with all the attention being paid to the so-called Internet of Things (IoT) you don’t have to stretch the imagination too much to see how this may impact commercial and homeowners insurance. We’re beyond the point of accepting this as a leap of faith. The groundwork is laid. Now it’s just a matter of time. We can thank the inventors of smart thermostats for developing a practical business application that everyone can relate to. Gone are the salad days of smart home apps, the early chalkb...
Cloud data governance was previously an avoided function when cloud deployments were relatively small. With the rapid adoption in public cloud – both rogue and sanctioned, it’s not uncommon to find regulated data dumped into public cloud and unprotected. This is why enterprises and cloud providers alike need to embrace a cloud data governance function and map policies, processes and technology controls accordingly. In her session at 15th Cloud Expo, Evelyn de Souza, Data Privacy and Compliance Strategy Leader at Cisco Systems, will focus on how to set up a cloud data governance program and s...
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.
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 ...
We certainly live in interesting technological times. And no more interesting than the current competing IoT standards for connectivity. Various standards bodies, approaches, and ecosystems are vying for mindshare and positioning for a competitive edge. It is clear that when the dust settles, we will have new protocols, evolved protocols, that will change the way we interact with devices and infrastructure. We will also have evolved web protocols, like HTTP/2, that will be changing the very core of our infrastructures. At the same time, we have old approaches made new again like micro-services...
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...
Today’s enterprise is being driven by disruptive competitive and human capital requirements to provide enterprise application access through not only desktops, but also mobile devices. To retrofit existing programs across all these devices using traditional programming methods is very costly and time consuming – often prohibitively so. In his session at @ThingsExpo, Jesse Shiah, CEO, President, and Co-Founder of AgilePoint Inc., discussed how you can create applications that run on all mobile devices as well as laptops and desktops using a visual drag-and-drop application – and eForms-buildi...
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.
SYS-CON Events announced today that Dyn, the worldwide leader in Internet Performance, 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. Dyn is a cloud-based Internet Performance company. Dyn helps companies monitor, control, and optimize online infrastructure for an exceptional end-user experience. Through a world-class network and unrivaled, objective intelligence into Internet conditions, Dyn ensures traffic gets delivered faster, safer, and more reliably than ever.
Containers and microservices have become topics of intense interest throughout the cloud developer and enterprise IT communities. Accordingly, attendees at the upcoming 16th Cloud Expo at the Javits Center in New York June 9-11 will find fresh new content in a new track called PaaS | Containers & Microservices Containers are not being considered for the first time by the cloud community, but a current era of re-consideration has pushed them to the top of the cloud agenda. With the launch of Docker's initial release in March of 2013, interest was revved up several notches. Then late last...
CommVault has announced that top industry technology visionaries have joined its leadership team. The addition of leaders from companies such as Oracle, SAP, Microsoft, Cisco, PwC and EMC signals the continuation of CommVault Next, the company's business transformation for sales, go-to-market strategies, pricing and packaging and technology innovation. The company also announced that it had realigned its structure to create business units to more directly match how customers evaluate, deploy, operate, and purchase technology.
In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect at GE, and Ibrahim Gokcen, who leads GE's advanced IoT analytics, focused on the Internet of Things / Industrial Internet and how to make it operational for business end-users. Learn about the challenges posed by machine and sensor data and how to marry it with enterprise data. They also discussed the tips and tricks to provide the Industrial Internet as an end-user consumable service using Big Data Analytics and Industrial Cloud.
Performance is the intersection of power, agility, control, and choice. If you value performance, and more specifically consistent performance, you need to look beyond simple virtualized compute. Many factors need to be considered to create a truly performant environment. In his General Session at 15th Cloud Expo, Harold Hannon, Sr. Software Architect at SoftLayer, discussed how to take advantage of a multitude of compute options and platform features to make cloud the cornerstone of your online presence.
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...