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Higher Education Market [Software Solutions, Content & Collaboration, Data Security & Compliance, Campus Technology, Student & Curriculum, Performance Management] - Worldwide Market Forecasts and Analysis (2014-2019)



 

 

LONDON, Aug. 5, 2014 /PRNewswire/ -- Reportbuyer.com has added a new market research report:

Higher Education Market [Software Solutions, Content & Collaboration, Data Security & Compliance, Campus Technology, Student & Curriculum, Performance Management] - Worldwide Market Forecasts and Analysis (2014-2019)

http://www.reportbuyer.com/business_government/education/higher_education_market_software_solutions_content_collaboration_data_security_compliance_campus_technology_student_curriculum_performance_management_worldwide_market_forecasts_analysis_2014_2019.html

From the past few years, the market for higher education has developed and has adopted the latest technology with the increasing demand among colleges and universities. This market involves the recent implementation of innovative hardware, systems and software to create an innovative environment. Higher education market in this report is defined as the summation of higher education hardware devices, software solutions and services.

Higher education market identifies the latest patterns and technology that is essential for any institution across the globe. This market is still in the growth stage, as colleges and universities are not very open towards the latest technological changes. The report analyzes the importance of technology in higher education and the impact on students and educators in the long run.
Many higher education institutions lack in the adoption of software solutions and services due to the privacy and security issues related to it. It is estimated that the use of such technology to its highest potential would take a few years. With increase in mobile technology and electronic learning, content and collaboration within the campus has become faster.

The major restraint in this market is the increase in cost of education and decreased government funding for the adoption of technology.
There are various assumptions that have been taken into consideration for the market sizing and forecasting exercise. A few of the global assumptions include political, economic, social, technological and economic factors. For instance, exchange rates, is one of the economic factors which are expected to have a moderate rating of impact on this market. Therefore, the dollar fluctuations are expected to not seriously affect the forecasts in the emerging Asia Pacific (APAC) regions.

The report will help the market leaders/new entrants in this market in the following ways:

1. This report segments the market into hardware, software solutions and services, covering this market comprehensively. The report provides the closest approximations of the revenue numbers for the overall market and the sub-segments. The market numbers are further split across the different users and regions.
2. This report will help them better understand the competitors and gain more insights to better position ones business. There is a separate section on competitive landscape, including end user analysis, mergers and acquisition and venture capital funding. Besides this, there are company profiles of the ten major players in this market. In this section, market internals are provided that can help place one's company ahead of the competitors.
3. The report helps them understand the pulse of the market. The report provides information on key market drivers, restraints, challenges, and opportunities.

1 INTRODUCTION 17

1.1 KEY TAKE-AWAYS 17
1.2 REPORT DESCRIPTION 17
1.3 MARKETS COVERED 18
1.4 STAKEHOLDERS 20
1.5 RESEARCH METHODOLOGY 21
1.5.1 KEY DATA POINTS 22
1.5.2 DATA TRIANGULATION AND MARKET FORECASTING 22
1.6 FORECAST ASSUMPTIONS 23

2 EXECUTIVE SUMMARY 25

2.1 ABSTRACT 25
2.2 MARKET SIZE AND FORECAST 26


3 MARKET OVERVIEW 31

3.1 MARKET DEFINITION 32
3.2 MARKET EVOLUTION 32
3.3 MARKET SEGMENTATION 33
3.4 MARKET DYNAMICS 35
3.4.1 DRIVERS 35
3.4.1.1 Replacement of device based computing 35
3.4.1.2 Increased connectivity and hardware 36
3.4.1.3 Privacy of cloud based resources 36
3.4.1.4 Emergence of online and collaborative learning 36
3.4.1.5 Personalization of technology 36
3.4.2 RESTRAINTS AND CHALLENGES 37
3.4.2.1 Difficulty in adoption of server based computing 37
3.4.2.2 Increased cost of education 37
3.4.2.3 Decreased government funding 38
3.4.3 OPPORTUNITIES 38
3.4.3.1 New developments in technology 38
3.4.3.2 Strategic alliance and partnerships 38
3.4.3.3 Ease of deployment 39
3.5 VALUE CHAIN 41
3.6 HIGHER EDUCATION STANDARDS AND REGULATIONS 41
3.6.1 INTRODUCTION 41
3.6.2 FAMILY EDUCATIONAL RIGHTS AND PRIVACY ACT (FERPA) 42
3.6.3 GRAMM-LEACH-BLILEY ACT(GLBA) 42
3.6.4 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT(HIPAA) 42
3.6.5 PAYMENT CARD INDUSTRY(PCI) DATA SECURITY STANDARD(DSS) 43
3.6.6 HIGHER EDUCATION ACT OF 1965 43
3.7 HIGHER EDUCATION LEARNING MODES 44
3.7.1 E-LEARNING 44
3.7.2 M-LEARNING 44
3.8 HIGHER EDUCATION SYSTEMS 45
3.8.1 LEARNING MANAGEMENT SYSTEM 45
3.8.2 LEARNING CONTENT MANAGEMENT SYSTEM 46
3.8.3 STUDENT INFORMATION SYSTEM 46
3.8.4 DOCUMENT MANAGEMENT SYSTEM 46
3.8.5 STUDENT RESPONSE SYSTEM 47

4 HIGHER EDUCATION: MARKET SIZE AND FORECAST BY HARDWARE DEVICES 48

4.1 INTRODUCTION 49
4.2 MARKET SIZE AND FORECAST 49
4.3 PC'S 56
4.3.1 OVERVIEW 56
4.3.2 MARKET SIZE AND FORECAST 57
4.4 TABLETS 57
4.4.1 OVERVIEW 57
4.4.2 MARKET SIZE AND FORECAST 58
4.5 INTERACTIVE WHITE BOARDS 58
4.5.1 OVERVIEW 58
4.5.2 MARKET SIZE AND FORECAST 59
4.6 PROJECTORS 59
4.6.1 OVERVIEW 59
4.6.2 MARKET SIZE AND FORECAST 60
4.7 PRINTERS 61
4.7.1 OVERVIEW 61
4.7.2 MARKET SIZE AND FORECAST 61
4.8 OTHERS 62
4.8.1 OVERVIEW 62
4.8.2 MARKET SIZE AND FORECAST 63

5 HIGHER EDUCATION: MARKET SIZE AND FORECAST BY SOFTWARE SOLUTIONS 64

5.1 INTRODUCTION 65
5.1.1 MARKET SIZE AND FORECAST 65
5.2 CONTENT AND COLLABORATION 72
5.2.1 OVERVIEW 72
5.2.2 MARKET SIZE AND FORECAST 73
5.3 DATA SECURITY AND COMPLIANCE 73
5.3.1 OVERVIEW 73
5.3.2 MARKET SIZE AND FORECAST 74
5.4 CAMPUS TECHNOLOGY 75
5.4.1 OVERVIEW 75
5.4.2 MARKET SIZE AND FORECAST 75
5.5 STUDENT AND CURRICULUM 76
5.5.1 OVERVIEW 76
5.5.2 MARKET SIZE AND FORECAST 77
5.6 PERFORMANCE MANAGEMENT 77
5.6.1 OVERVIEW 77
5.6.2 MARKET SIZE AND FORECAST 78
5.7 OTHERS 79
5.7.1 OVERVIEW 79
5.7.2 MARKET SIZE AND FORECAST 79

6 HIGHER EDUCATION MARKET: MARKET SIZE AND FORECAST BY SERVICES 80

6.1 INTRODUCTION 81
6.1.1 MARKET SIZE AND FORECAST 81
6.2 IMPLEMENTATION 88
6.2.1 OVERVIEW 88
6.2.2 MARKET SIZE AND FORECAST 88
6.3 CONSULTING AND ADVISORY 91
6.3.1 OVERVIEW 91
6.3.2 MARKET SIZE AND FORECAST 91
6.4 TRAINING AND SUPPORT 93
6.4.1 OVERVIEW 93
6.4.2 MARKET SIZE AND FORECAST 94

7 HIGHER EDUCATION: MARKET SIZE AND FORECAST BY USERS 97

7.1 INTRODUCTION 98
7.1.1 MARKET SIZE AND FORECAST 98
7.2 STATE UNIVERSITIES 100
7.2.1 OVERVIEW 100
7.2.2 MARKET SIZE AND FORECAST 100
7.3 COMMUNITY COLLEGES 103
7.3.1 OVERVIEW 103
7.3.2 MARKET SIZE AND FORECAST 103
7.4 PRIVATE COLLEGES 105
7.4.1 OVERVIEW 105
7.4.2 MARKET SIZE AND FORECAST 105

8 HIGHER EDUCATION : MARKET SIZE AND FORECAST BY REGIONS 108

8.1 INTRODUCTION 109
8.1.1 MARKET SIZE AND FORECAST 109
8.1.2 PARFAIT CHART 111
8.1.3 REGIONAL MARKET LIFECYCLE 112
8.2 NORTH AMERICA 113
8.2.1 OVERVIEW 113
8.2.2 MARKET SIZE AND FORECAST 113
8.3 EUROPE 117
8.3.1 OVERVIEW 117
8.3.2 MARKET SIZE AND FORECAST 118
8.4 ASIA-PACIFIC 122
8.4.1 OVERVIEW 122
8.4.2 MARKET SIZE AND FORECAST 123
8.5 MIDDLE EAST AND AFRICA 127
8.5.1 OVERVIEW 127
8.5.2 MARKET SIZE AND FORECAST 128
8.6 LATIN AMERICA 132
8.6.1 OVERVIEW 132
8.6.2 MARKET SIZE AND FORECAST 133

9 HIGHER EDUCATION: MARKET LANDSCAPE 137

9.1 COMPETITIVE LANDSCAPE 137
9.1.1 ECOSYSTEM AND ROLES 137
9.1.2 PORTFOLIO COMPARISON 138
9.2 END USER LANDSCAPE 140
9.2.1 END USER ANALYSIS 140

10 COMPANY PROFILES 141 (MnM View, Overview, Products & Services, Financials and Strategy & Analyst Insights)*

10.1 ADOBE CORPORATION 141
10.2 BLACKBOARD, INC. 145
10.3 CISCO SYSTEMS, INC. 148
10.4 DELL, INC. 151
10.5 EDUCOMP SOLUTIONS 155
10.6 IBM 158
10.7 ORACLE CORPORATION 161
10.8 PANASONIC CORPORATION 164
10.9 XEROX CORPORATION 167
10.10 SMART TECHNOLOGIES, INC. 170
*Details on MarketsandMarkets View, Overview, Products & Services, Financials and Strategy & Analyst Insights might not be captured in case of unlisted companies.
APPENDIX 173
- MERGERS AND ACQUISITIONS (M&A) 173
- VENTURE CAPITAL (VC) FUNDING ANALYSIS 177
- SO CIAL REACH 179

LIST OF TABLES

TABLE 1 RESEARCH METHODOLOGY 21
TABLE 2 HIGHER EDUCATION: MARKET SIZE, 2013–2019($BILLION) 26
TABLE 3 HIGHER EDUCATION: MARKET SIZE , BY COMPONENTS,
2013 – 2019($BILLION) 28
TABLE 4 HIGHER EDUCATION: MARKET SIZE, 2014 – 2019 Y-O-Y (%) 29
TABLE 5 HIGHER EDUCATION MARKET: TIME IMPACT ANALYSIS OF DYNAMICS, 2014-2019 39
TABLE 6 M-LEARNING MARKET,BY REGIONS, 2014-2019 ($ MILLION) 45
TABLE 7 HIGHER EDUCATION: MARKET SIZE, BY HARDWARE,
2013-2019 ($BILLION) 49
TABLE 8 HIGHER EDUCATION: HARDWARE MARKET, BY REGIONS,
2013-2019 ($BILLION) 51
TABLE 9 HIGHER EDUCATION: HARDWARE MARKET, BY REGIONS,
2014-2019 Y-O-Y (%) 53
TABLE 10 HIGHER EDUCATION MARKET: BY HARDWARE DEVICES,
2013-2019 ($BILLION) 54
TABLE 11 HIGHER EDUCATION MARKET: BY HARDWARE DEVICES,
2014-2019 Y-O-Y (%) 56
TABLE 12 PC MARKET SIZE, BY REGIONS, 2013-2019 ($MILLION) 57
TABLE 13 TABLETS MARKET SIZE, BY REGIONS, 2013-2019 ($MILLION) 58
TABLE 14 INTERACTIVE WHITE BOARDS, MARKET SIZE, BY REGIONS,
2013-2019 ($MILLION) 59
TABLE 15 PROJECTORS MARKET SIZE, BY REGIONS, 2013-2019 ($MILLION) 60
TABLE 16 PRINTER MARKET SIZE, BY REGIONS, 2013-2019 ($MILLION) 61
TABLE 17 OTHERS MARKET SIZE, BY REGIONS, 2013-2019 ($MILLION) 63
TABLE 18 HIGHER EDUCATION MARKET, BY SOFTWARE, 2013-2019 ($BILLION) 65
TABLE 19 HIGHER EDUCATION SOFTWARE MARKET, BY REGIONS,
2013-2019 ($BILLION) 67
TABLE 20 HIGHER EDUCATION SOFTWARE MARKET, BY REGIONS,
2014-2019 Y-O-Y (%) 69
TABLE 21 HIGHER EDUCATION MARKET , BY SOFTWARE TYPES ,
2013-2019 ($BILLION) 70
TABLE 22 HIGHER EDUCATION MARKET, BY SOFTWARE TYPES,
2014-2019 Y-O-Y (%) 72
TABLE 23 CONTENT AND COLLABORATION MARKET SIZE, BY REGIONS,
2013-2019 ($MILLION) 73
TABLE 24 DATA SECURITY AND COMPLIANCE MARKET ,BY REGIONS,
2013-2019 ($MILLION) 74
TABLE 25 CAMPUS TECHNOLOGY MARKET,BY REGIONS, 2013-2019 ($MILLION) 75
TABLE 26 STUDENT AND CURRICULUM MARKET , BY REGIONS,
2013-2019 ($MILLION) 77
TABLE 27 PERFORMANCE MANAGEMENT MARKET,BY REGIONS,
2013-2019 ($MILLION) 78
TABLE 28 OTHERS MARKET, BY REGIONS, 2013-2019 ($MILLION) 79
TABLE 29 HIGHER EDUCATION MARKET, BY SERVICES, 2013-2019 ($BILLION) 81
TABLE 30 HIGHER EDUCATION SERVICES MARKET, BY REGIONS,
2013-2019 ($BILLION) 83
TABLE 31 HIGHER EDUCATION SERVICES MARKET, BY REGIONS,
2014-2019 Y-O-Y (%) 85
TABLE 32 HIGHER EDUCATION MARKET, BY SERVICE TYPES,
2013-2019 ($BILLION) 85
TABLE 33 HIGHER EDUCATION MARKET, BY SERVICE TYPES,
2014-2019 Y-O-Y (%) 87
TABLE 34 IMPLEMENTATION MARKET ,BY REGIONS, 2013-2019 ($MILLION) 88
TABLE 35 IMPLEMENTATION MARKET, BY REGIONS, 2014-2019 Y-O-Y (%) 90
TABLE 36 CONSULTING AND ADVISORY MARKET,BY REGIONS,
2013-2019 ($MILLION) 91
TABLE 37 CONSULTING AND ADVISORY MARKET, BY REGIONS,
2014-2019, Y-O-Y (%) 93
TABLE 38 TRAINING AND SUPPORT MARKET,BY REGIONS, 2013-2019 ($MILLION) 94
TABLE 39 TRAINING AND SUPPORT MARKET, BY REGIONS, 2014-2019 Y-O-Y (%) 96
TABLE 40 HIGHER EDUCATION MARKET, BY USER TYPES, 2013-2019 ($BILLION) 98
TABLE 41 HIGHER EDUCATION MARKET, BY USER TYPES, 2014-2019 Y-O-Y (%) 99
TABLE 42 STATE UNIVERSITIES MARKET, BY REGIONS, 2013-2019 ($MILLION) 100
TABLE 43 STATE UNIVERSITIES MARKET,BY COMPONENTS,
2013-2019 ($MILLION) 101
TABLE 44 COMMUNITY COLLEGES MARKET, BY REGIONS, 103
TABLE 45 COMMUNITY COLLEGES MARKET,BY COMPONENTS,
2013-2019 ($MILLION) 104
TABLE 46 PRIVATE COLLEGES MARKET,BY REGIONS, 2013-2019 ($MILLION) 105
TABLE 47 PRIVATE COLLEGES MARKET,BY COMPONENTS, 2013-2019 ($MILLION) 106
TABLE 48 HIGHER EDUCATION MARKET: BY REGIONS, 2013-2019 ($BILLION) 109
TABLE 49 HIGHER EDUCATION MARKET: BY REGIONS, 2014-2019 Y-O-Y (%) 110
TABLE 50 NORTH AMERICA MARKET , BY COMPONENTS, 2013-2019 ($MILLION) 113
TABLE 51 NORTH AMERICA MARKET, BY COMPONENTS, 2014-2019 Y-O-Y (%) 114
TABLE 52 NORTH AMERICA MARKET, BY HARDWARE, 2013-2019 ($MILLION) 115
TABLE 53 NORTH AMERICA MARKET,BY SOFTWARE, 2013-2019 ($MILLION) 116
TABLE 54 NORTH AMERICA MARKET, BY SERVICES, 2013-2019 ($MILLION) 117
TABLE 55 EUROPE MARKET,BY COMPONENTS, 2013-2019 ($MILLION) 118
TABLE 56 EUROPE MARKET, BY COMPONENTS, 2014-2019, Y-O-Y (%) 119
TABLE 57 EUROPE MARKET,BY HARDWARE, 2013-2019 ($MILLION) 120
TABLE 58 EUROPE MARKET, BY SOFTWARE, 2013-2019 ($MILLION) 121
TABLE 59 EUROPE MARKET, BY SERVICES, 2013-2019 ($MILLION) 122
TABLE 60 ASIA-PACIFIC MARKET, BY COMPONENTS, 2013-2019 ($MILLION) 123
TABLE 61 ASIA-PACIFIC MARKET, BY COMPONENTS, 2014-2019 Y-O-Y (%) 124
TABLE 62 ASIA-PACIFIC MARKET, BY HARDWARE, 2013-2019 ($MILLION) 125
TABLE 63 ASIA-PACIFIC MARKET,BY SOFTWARE, 2013-2019 ($MILLION) 126
TABLE 64 ASIA-PACIFIC MARKET,BY SERVICES, 2013-2019 ($MILLION) 127
TABLE 65 MIDDLE EAST AND AFRICA MARKET,BY COMPONENTS,
2013-2019 ($MILLION) 128
TABLE 66 MIDDLE EAST AND AFRICA MARKET, BY COMPONENTS,
2014-2019 Y-O-Y (%) 129
TABLE 67 MIDDLE EAST AND AFRICA MARKET,BY HARDWARE,
2013-2019 ($MILLION) 130
TABLE 68 MIDDLE EAST AND AFRICA MARKET, BY SOFTWARE,
2013-2019 ($MILLION) 131
TABLE 69 MIDDLE EAST AND AFRICA MARKET, BY SERVICES,
2013-2019 ($MILLION) 132
TABLE 70 LATIN AMERICA MARKET, BY COMPONENTS, 2013-2019 ($MILLION) 133
TABLE 71 LATIN AMERICA MARKET, BY COMPONENTS, 2014-2019 Y-O-Y (%) 134
TABLE 72 LATIN AMERICA MARKET, BY HARDWARE, 2013-2019 ($MILLION) 134
TABLE 73 LATIN AMERICA MARKET, BY SOFTWARE, 2013-2019 ($MILLION) 135
TABLE 74 LATIN AMERICA MARKET, BY SERVICES, 2013-2019 ($MILLION) 136

LIST OF FIGURES

FIGURE 1 HIGHER EDUCATION MARKET : STAKEHOLDERS 20
FIGURE 2 HIGHER EDUCATION MARKET: DATA TRIANGULATION,TOP DOWN AND BOTTOM UP APPROACH 23
FIGURE 3 HIGHER EDUCATION MARKET: 2013- 2019 ($BILLION),
2014- 2019 Y-O-Y (%) 27
FIGURE 4 HIGHER EDUCATION MARKET, BY COMPONENTS, 2014-2019 Y-O-Y (%) 29
FIGURE 5 HIGHER EDUCATION: MARKET EVOLUTION 33
FIGURE 6 HIGHER EDUCATION: MARKET SEGMENTATION 34
FIGURE 7 HIGHER EDUCATION MARKET: DRIVERS AND RESTRAINTS 35
FIGURE 8 HIGHER EDUCATION MARKET: TIME IMPACT ANALYSIS OF DRO 40
FIGURE 9 HIGHER EDUCATION : VALUE CHAIN 41
FIGURE 10 HIGHER EDUCATION MARKET: BY HARDWARE, 2014-2019 ($BILLION), 2014-2019 Y-O-Y (%) 50
FIGURE 11 HIGHER EDUCATION: HARDWARE MARKET, BY REGIONS,
2014-2019 Y-O-Y (%) 52
FIGURE 12 HIGHER EDUCATION MARKET: BY HARDWARE DEVICES,
2014-2019 Y-O-Y (%) 55
FIGURE 13 HIGHER EDUCATION MARKET, BY SOFTWARE, 2014-2019 ($BILLION) Y-O-Y (%) 66
FIGURE 14 HIGHER EDUCATION SOFTWARE MARKET, BY REGIONS,
2014–2019 Y-O-Y (%) 68
FIGURE 15 HIGHER EDUCATION MARKET, BY SOFTWARE TYPES,
2014-2019 Y-O-Y (%) 71
FIGURE 16 HIGHER EDUCATION MARKET, BY SERVICES, 2014-2019 Y-O-Y (%) 82
FIGURE 17 HIGHER EDUCATION SERVICES MARKET, BY REGIONS,
2014-2019 Y-O-Y (%) 84
FIGURE 18 HIGHER EDUCATION MARKET, BY SERVICE TYPES,
2014-2019 Y-O-Y (%) 86
FIGURE 19 IMPLEMENTATION MARKET, BY REGIONS, 2014-2019 Y-O-Y (%) 89
FIGURE 20 CONSULTING AND ADVISORY MARKET, BY REGIONS,
2014-2019 Y-O-Y (%) 92
FIGURE 21 TRAINING AND SUPPORT MARKET, BY REGIONS, 2014-2019, Y-O-Y (%) 95
FIGURE 22 HIGHER EDUCATION MARKET, BY USER TYPES, 2014-2019, Y-O-Y (%) 99
FIGURE 23 STATE UNIVERSITIES, BY COMPONENTS, 2014-2019 Y-O-Y (%) 102
FIGURE 24 COMMUNITY COLLEGES MARKET, BY COMPONENTS,
2014-2019 Y-O-Y (%) 104
FIGURE 25 PRIVATE COLLEGES MARKET, BY COMPONENTS, 2014-2019 Y-O-Y (%) 107
FIGURE 26 HIGHER EDUCATION MARKET, BY REGIONS, 2014-2019 Y-O-Y (%) 110
FIGURE 27 REGION-WISE HIGHER EDUCATION MARKET: PARFAIT CHART 111
FIGURE 28 HIGHER EDUCATION: REGIONAL MARKET LIFECYCLE, 2013-2019 112
FIGURE 29 NORTH AMERICA MARKET, BY COMPONENTS, 2014-2019 Y-O-Y (%) 114
FIGURE 30 EUROPE MARKET, BY COMPONENTS, 2014-2019 Y-O-Y (%) 119
FIGURE 31 ASIA-PACIFIC MARKET, BY COMPONENTS, 2014-2019, Y-O-Y (%) 123
FIGURE 32 MIDDLE EAST AND AFRICA MARKET, BY COMPONENTS,
2014-2019 Y-O-Y (%) 129
FIGURE 33 LATIN AMERICA MARKET, BY COMPONENTS, 2014-2019, Y-O-Y (%) 133
FIGURE 34 HIGHER EDUCATION: ECOSYSTEM AND ROLES 137
FIGURE 35 HIGHER EDUCATION: PORFOLIO COMPARISON 139
FIGURE 36 HIGHER EDUCATION: SOCIAL REACH 179



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Higher Education Market [Software Solutions, Content & Collaboration, Data Security & Compliance, Campus Technology, Student & Curriculum, Performance Management] - Worldwide Market Forecasts and Analysis (2014-2019)

http://www.reportbuyer.com/business_government/education/higher_education_market_software_solutions_content_collaboration_data_security_compliance_campus_technology_student_curriculum_performance_management_worldwide_market_forecasts_analysis_2014_2019.html

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Email: [email protected]
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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...