Welcome!

Websphere Authors: Glenn Rossman, Elizabeth White, Yeshim Deniz, Liz McMillan, Roger Strukhoff

News Feed Item

Silicon Photonics Market by Products (Silicon Optical Interconnects & Wavelength Division Multiplexer Filters & Others), Applications (Telecommunication, Datacom, High Performance Computing & Others) & Geography - Analysis & Forecast (2013 - 2020)

NEW YORK, Feb. 10, 2014 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Silicon Photonics Market by Products (Silicon Optical Interconnects & Wavelength Division Multiplexer Filters & Others), Applications (Telecommunication, Datacom, High Performance Computing & Others) & Geography - Analysis & Forecast (2013 - 2020)
http://www.reportlinker.com/p02003734/Silicon-Photonics-Market-by-Products-Silicon-Optical-Interconnects--Wavelength-Division-Multiplexer-Filters--Others-Applications-Telecommunication-Datacom-High-Performance-Computing--Others--Geography---Analysis--Forecast-2013---2020.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Tourism

Silicon Photonics Market by Products (Silicon Optical Interconnects & Wavelength Division Multiplexer Filters & Others), Applications (Telecommunication, Datacom, High Performance Computing & Others) & Geography - Analysis & Forecast (2013 - 2020)

The silicon Photonics technology is gaining ground as a low cost alternative technology that can address speed and bulk data transfer challenges faced by microelectronics. The silicon Photonics market is in its infancy and is expected to be fully commercialized in all application sectors by 2016.
This research study on the Silicon Photonics market focuses on various product segments such as Silicon Photonic Waveguides, Optical modulators, Optical Interconnects, Wavelength division multiplexer filters, Silicon LED's and Silicon Photo-detectors. While Wavelength division multiplexer filters and Optical modulators are relatively mature product segments, Silicon LED's and Optical modulators are expected to grow at higher CAGRs during the forecast period. The report analyzes the entire market on the basis of all the major application segments such as Telecommunications, Data Communication, Sensing, Metrology, Consumer Electronics & Displays, Healthcare and High Performance Computing. The report analyzes the entire market on the basis of all the major geographical segments such as North America, Central America, South America, Europe, Africa, the Middle-East, Asia, and Oceania. North America and Europe are currently the largest markets, but in the Asian regionit is expected to exhibit a high growth in the next seven years.

The report also draws the competitive landscape of thesilicon Photonicstechnology by analyzing the major players and the strategies adopted by them for growth in the market. Apart from the market segmentation data, the report also includes qualitative analysis of various market dynamics such as the drivers, restraints, opportunities, burning issues, and winning imperatives. It also analyzes the overall market through various models; such as the Porter's five forces model. The report includes profiles of major market players in the global silicon Photonics market with their respective market share analysis.

1 INTRODUCTION 16

1.1 KEY TAKE-AWAYS 16
1.2 REPORT DESCRIPTION 17
1.3 MARKETS COVERED 20
1.4 STAKEHOLDERS 20
1.5 REPORT ASSUMPTIONS 21
1.5.1 ASSUMPTIONS 21
1.6 RESEARCH METHODOLOGY 22
1.6.1 MARKET SIZE ESTIMATION 25
1.6.2 MARKET CRACKDOWN & DATA TRANGULATION 27
1.6.3 KEY DATA POINTS TAKEN FRON
SECONDARY SOURCES 28
1.6.4 KEY DATA POINTS TAKEN FROM PRIMARY SOURCES 29
1.6.5 LIST OF COMPANIES COVERED IN THE STUDY 30

2 EXECUTIVE SUMMARY 31

3 COVER STORY 36

3.1 OPTOCAP LTD 36
3.2 CEA-LETI 39
3.3 VALENCIA NANOPHOTONICS TECHNOLOGY CENTER &
DAS PHOTONICS 42

4 MARKET OVERVIEW 45

4.1 EVOLUTION OF SILICON PHOTONICS 46
4.2 BUILDING BLOCKS OF SILICON PHOTONICS 48
4.3 SILICON PHOTONICS: TECHNOLOGY TRENDS 49
4.4 COMPARISON OF INTEGRATION TECHNIQUES 50
4.5 SILICON PHOTONICS INTEGRATION TECHNIQUES 51
4.5.1 SILICON SUB-MOUNT TECHNOLOGY 51
4.5.2 SILICA/SILICON PASSIVE WAVEGUIDE TECHNOLOGY 52
4.5.3 PASSIVE OPTICAL ALIGNMENT 53
4.6 APPLICATION LIFE-CYCLE ANALYSIS 54
4.7 MARKET DYNAMICS OF SILICON PHOTONICS 55
4.7.1 MARKET DRIVERS 56
4.7.1.1 Advent of High-Volume Applications 56
4.7.1.2 Lower Power Consumption 57
4.7.1.3 Demand for High Data Transfer Rate 57
4.7.2 MARKET RESTRAINTS 58
4.7.2.1 Need for Standardization 58
4.7.2.2 Possibility of Thermal Effect 59
4.7.3 OPPORTUNITIES 59
4.7.3.1 Government Funding 59
4.8 WINNING IMPERATIVES AND MARKET TRENDS 60
4.8.1 FIRST MOVER ADVANTAGE 60
4.8.2 TRANSITION OF SILICON PHOTONICS MARKET 60
4.9 BURNING ISSUES 61
4.9.1 COMPATIBILITY WITH COMMUNICATION SYSTEMS 61

5 SILICON PHOTONICS MARKET BY PRODUCT 62

5.1 INTRODUCTION 63
5.2 SILICON PHOTONIC WAVEGUIDES 65
5.2.1 PLANAR WAVEGUIDES 67
5.2.2 STRIP WAVEGUIDES 69
5.2.3 RIB WAVEGUIDES 70
5.2.4 FIBER WAVEGUIDE 71
5.3 SILICON OPTICAL MODULATORS 72
5.3.1 ABSORPTIVE MODULATORS 74
5.3.1.1 Franz-Keldysh Effect 76
5.3.1.2 Quantum-Confined Stark Effect 78
5.3.1.3 Plasma Dispersion Effect 79
5.3.2 REFRACTIVE MODULATORS 81
5.3.2.1 Electro-Optic Effect 82
5.3.2.2 Magneto-Optic Effect 84
5.3.2.3 Thermo-Optic Effect 85
5.3.2.4 Polarization Changes in Liquid Crystals 86
5.4 SILICON OPTICAL INTERCONNECTS 87
5.4.1 INTRA-CHIP INTERCONNECTS 89
5.4.2 INTER-CHIP INTERCONNECTS 90

5.4.3 BACLPLANE INTERCONNECTS 90
5.5 WAVELENGTH DIVISION MULTIPLEXER FILTERS 90
5.5.1 MARKET INSIGHTS 91
5.5.1.1 WDFM Market by Geography 92
5.6 SILICON LED 93
5.6.1 MARKET INSIGHTS 94
5.6.1.1 Silicon LED Market by Geography 94
5.7 SILICON PHOTO-DETECTORS 95
5.7.1 MARKET INSIGHTS 95
5.7.1.1 Silicon Photo Detectors Market by Geography 95
5.8 OTHER SILICON PHOTONICS PRODUCT DEVICES 96
5.9 EMERGING SILICON PHOTONICS PRODUCT DEVICES 96
5.9.1 SILICON PHOTONIC LASERS 96
5.9.2 SILICON PHOTONIC AMPLIFIERS 98

6 SILICON PHOTONICS MARKET BY APPLICATIONS 99

6.1 INTRODUCTION 100
6.2 TELECOMMUNICATIONS AND DATA TRANSFER 102
6.2.1 MARKET INSIGHTS 104
6.2.1.1 Silicon Photonic Telecommunication Market by Type 104
6.2.1.2 Silicon Photonic Telecommunication Market
by Geography 105
6.3 DATA COMMUNICATION 106
6.3.1 MARKET INSIGHTS 106
6.3.1.1 Datacom Market by Geography 107
6.4 SENSING 108
6.4.1 MARKET INSIGHTS 109

6.4.1.1 Sensing Market by Geography 109
6.5 METROLOGY 110
6.5.1 MARKET INSIGHTS 111
6.5.1.1 Metrology Market by Type 111
6.5.1.2 Metrology Market by Geography 112
6.6 CONSUMER ELECTRONICS & DISPLAYS 113
6.6.1 MARKET INSIGHTS 114
6.6.1.1 Consumer Electronics and Display Market
by Geography 114
6.7 HEALTHCARE 115
6.7.1 MARKET INSIGHTS 116
6.7.1.1 Healthcare Market by Geography 116
6.8 HIGH PERFORMANCE COMPUTING 117
6.8.1 MARKET INSIGHTS 118
6.8.1.1 HPC Market by Geography 118
6.9 OTHERS 119
6.10 EMERGING SILICON PHOTONICS APPLICATIONS 121

7 SILICON PHOTONICS MARKET BY GEOGRAPHY 123

7.1 INTRODUCTION 124
7.2 SILICON PHOTONICS MARKET: NORTH AMERICA 125
7.3 SILICON PHOTONICS MARKET: EUROPE 127
7.4 SILICON PHOTONICS MARKET: ASIA-PACIFIC (APAC) 128
7.5 SILICON PHOTONICS MARKET: REST OF WORLD (ROW) 129

8 COMPETITIVE LANDSCAPE 131

8.1 MARKET SHARE ANALYSIS 131
8.2 COMPETITIVE SITUATION & TRENDS 132
8.2.1 NEW PRODUCT DEVELOPMENTS & ANNOUNCEMENTS 132
8.2.2 AGREEMENTS, PARTNERSHIPS, JOINT VENTURES AND COLLABORATIONS, MERGERS AND ACQUISITIONS 135
8.2.3 CONTRACTS 138

9 COMPANY PROFILES 140
(Overview, Products and Services, Financials, Strategy & Development)*


9.1 FINISAR CORPORATION 140
9.2 HAMAMATSU PHOTONICS, K.K. 143
9.3 HEWLETT-PACKARD CO. 147
9.4 INTEL CORPORATION 150
9.5 IBM CORP. 154
9.6 INFINERA INC. 157
9.7 INNOLUME GMBH 160
9.8 LUXTERA, INC 164
9.9 ST MICROELECTRONICS 167
9.10 ORACLE CORPORATION 170
9.11 3S PHOTONICS 173
9.12 CEA-LETI 177
9.13 DAS PHOTONICS 180
9.14 OPTOCAP LTD., 184
9.15 PHOENIX SOFTWARE 188
9.16 CALIOPA NV (HUAWEI CO., LTD.) 192
9.17 OCLARO INC. 194
9.18 MELLANOX TECHNOLOGIES 199
*Details on Overview, Products and Services, Financials, Strategy & Development might not be Captured in case of Unlisted Companies.

LIST OF TABLES

TABLE 1 SILICON PHOTONICS MARKET VALUE BY PRODUCTS,
2013 - 2020 ($MILLION) 33
TABLE 2 GLOBAL SI PHOTONICS MARKET VALUE, BY APPLICATION,
2013 – 2020 ($MILLION) 34
TABLE 3 GLOBAL SI PHOTONICS MARKET VALUE, BY PRODUCT DEVICES,
2013 – 2020 ($MILLION) 35
TABLE 4 APPLICATIONS OF PASSIVE COMPONENTS 52
TABLE 5 IMPACT ANALYSIS OF DRIVERS OF SILICON PHOTONICS 56
TABLE 6 IMPACT ANALYSIS OF RESTRAINTS OF SILICON PHOTONICS 58
TABLE 7 GOVERNMENT FUNDING 59
TABLE 8 SILICON PHOTONICS MARKET VALUE, BY PRODUCTS,
2013 - 2020 ($MILLION) 64
TABLE 9 SILICON WAVEGUIDES MARKET VALUE IN SI PHOTONICS MARKET,
BY TYPES, 2013 – 2020 ($MILLION) 66
TABLE 10 SILICON PHOTONIC WAVEGUIDES MARKET VALUE, BY GEOGRAPHY, 2013 - 2020 ($MILLION) 67
TABLE 11 SILICON PHOTONIC PLANAR WAVEGUIDES MARKET VALUE,
BY GEOGRAPHY, 2013 - 2020 ($MILLION) 68
TABLE 12 SILICON PHOTONIC STRIP WAVEGUIDES MARKET VALUE,
BY GEOGRAPHY, 2013 – 2020 ($MILLION) 69
TABLE 13 SILICON PHOTONIC RIB WAVEGUIDES MARKET VALUE, BY GEOGRAPHY 2013 - 2020 ($MILLION) 70
TABLE 14 SILICON PHOTONIC FIBER WAVEGUIDES MARKET VALUE, BY GEOGRAPHY 2013 - 2020 ($MILLION) 71
TABLE 15 GLOBAL SILICON PHOTONIC OPTICAL MODULATORS MARKET VALUE, BY PRODUCTS, 2013 – 2020 ($MILLION) 73
TABLE 16 SILICON PHOTONIC OPTICAL MODULATORS MARKET VALUE,

BY GEOGRAPHY, 2013 - 2020 ($MILLION) 74
TABLE 17 SILICON PHOTONIC ABSORPTIVE MODULATORS MARKET VALUE,
BY TYPE, 2013 - 2020 ($MILLION) 75
TABLE 18 SILICON PHOTONIC ABSORPTIVE MODULATORS MARKET VALUE,
BY GEOGRAPHY 2013 - 2020 ($MILLION) 76
TABLE 19 SILICON PHOTONIC FRANZ-KELDYSH MARKET VALUE, BY GEOGRAPHY, 2013 - 2020 ($MILLION) 77
TABLE 20 SILICON PHOTONIC QUANTUM-CONFINED STARK MARKET VALUE,
BY GEOGRAPHY, 2013 - 2020 ($MILLION) 79
TABLE 21 SILICON PHOTONIC PLASMA DISPERSION ABSORPTIVE MODULATORS MARKET VALUE, BY GEOGRAPHY, 2013 - 2020 ($MILLION) 80
TABLE 22 SILICON PHOTONIC REFRACTIVE MODULATORS MARKET VALUE,
BY TYPE, 2013 - 2020 ($MILLION) 81
TABLE 23 SILICON PHOTONIC REFLECTIVE MODULATORS MARKET VALUE,
BY GEOGRAPHY, 2013 - 2020 ($MILLION) 82
TABLE 24 SILICON PHOTONIC ELECTRO-OPTIC MARKET VALUE, BY GEOGRAPHY, 2013 - 2020 ($MILLION) 83
TABLE 25 SILICON PHOTONIC MAGNETO-OPTIC MARKET VALUE, BY GEOGRAPHY, 2013 – 2020 ($MILLION) 84
TABLE 26 SILICON PHOTONIC THERMO-OPTIC MARKET VALUE, BY GEOGRAPHY, 2013 - 2020 ($MILLION) 85
TABLE 27 SILICON PHOTONIC POLARIZATION CHANGES IN LIQUID CRYSTALS MARKET VALUE, BY GEOGRAPHY, 2013 – 2020 ($MILLION) 86
TABLE 28 GLOBAL SILICON PHOTONIC OPTICAL INTERCONNECTS MARKET VALUE, BY PRODUCT, 2013 - 2020 ($MILLION) 88
TABLE 29 SILICON PHOTONIC OPTICAL INTERCONNECTS MARKET VALUE,
BY GEOGRAPHY, 2013 - 2020 ($MILLION) 89
TABLE 30 SILICON PHOTONIC WAVELENGTH DIVISION MULTIPLEXER FILTERS MARKET VALUE, BY GEOGRAPHY, 2013 - 2020 ($MILLION) 92
TABLE 31 SILICON PHOTONIC LED MARKET VALUE, BY GEOGRAPHY,
2013 - 2020 ($MILLION) 94

TABLE 32 SILICON PHOTONIC PHOTO-DETECTOR MARKET VALUE,
BY GEOGRAPHY, 2013 - 2020 ($MILLION) 95
TABLE 33 SILICON PHOTONIC OTHERS MARKET VALUE, BY GEOGRAPHY,
2013 - 2020 ($MILLION) 96
TABLE 34 GLOBAL SI PHOTONICS MARKET VALUE, BY APPLICATION,
2013 – 2020 ($MILLION) 101
TABLE 35 GLOBAL SILICON PHOTONICS TELECOMMUNICATION MARKET VALUE, BY TYPE, 2013 - 2020 ($MILLION) 104
TABLE 36 SILICON PHOTONIC TELECOMMUNICATIONS MARKET VALUE,
BY GEOGRAPHY, 2013 - 2020 ($MILLION) 105
TABLE 37 SILICON PHOTONIC DATACOM MARKET VALUE, BY GEOGRAPHY,
2013 - 2020 ($MILLION) 107
TABLE 38 SILICON PHOTONIC SENSING MARKET VALUE, BY GEOGRAPHY,
2013 - 2020 ($MILLION) 109
TABLE 39 GLOBAL SILICON PHOTONICS METROLOGY MARKET VALUE
2013 - 2020 ($MILLION) 111
TABLE 40 SILICON PHOTONIC METROLOGY MARKET VALUE, BY GEOGRAPHY, 2013 – 2020 ($MILLION) 112
TABLE 41 SILICON PHOTONIC CONSUMER ELECTRONICS AND DISPLAY MARKET VALUE, BY GEOGRAPHY, 2013 - 2020 ($MILLION) 114
TABLE 42 SILICON PHOTONIC HEALTHCARE MARKET VALUE, BY GEOGRAPHY, 2013 - 2020 ($MILLION) 116
TABLE 43 SILICON PHOTONIC HPC MARKET VALUE, BY GEOGRAPHY,
2013 – 2020 ($MILLION) 118
TABLE 44 SILICON PHOTONIC OTHERS MARKET VALUE, BY GEOGRAPHY,
2013 - 2020 ($MILLION) 119
TABLE 45 OTHER APPLICATIONS OF SILICON PHOTONICS 120
TABLE 46 EMERGING APPLICATIONS OF SILICON PHOTONICS 121
TABLE 47 GLOBAL SILICON PHOTONICS MARKET VALUE, BY GEOGRAPHY,
2013 - 2020 ($MILLION) 124
TABLE 48 NORTH AMERICA: SI PHOTONICS MARKET VALUE, BY PRODUCTS,
2013 – 2020 ($MILLION) 125

TABLE 49 EUROPE SI PHOTONICS MARKET VALUE, BY PRODUCTS,
2013 – 2020 ($MILLION) 127
TABLE 50 APAC: SI PHOTONICS MARKET VALUE, BY PRODUCTS,
2013 – 2020 ($MILLION) 128
TABLE 51 ROW: SI PHOTONICS MARKET VALUE, BY PRODUCTS,
2013 – 2020 ($MILLION) 129
TABLE 52 SILICON PHOTONICS PLAYERS AND RANKINGS, 2013 131
TABLE 53 FINISAR CORP.: PRODUCTS & SERVICES 141
TABLE 54 HAMAMATSU PHOTONICS: PRODUCTS & SERVICES 144
TABLE 55 HAWLETT-PACKARD: PRODUCTS & SERVICES 148
TABLE 56 INTEL CORP.: PRODUCTS & SERVICES 151
TABLE 57 IBM CORP.: PRODUCTS & SERVICES 155
TABLE 58 INFINERA INC.: PRODUCTS AND SERVICES 158
TABLE 59 INNOLUME GMBH: PRODUCTS & SERVICES 161
TABLE 60 LUXTERA, INC: PRODUCTS & SERVICES 164
TABLE 61 STMICROELECTRONICS: PRODUCTS & SERVICES 168
TABLE 62 ORACLE CORP.: PRODUCTS & SERVICES 171
TABLE 63 3S PHOTONICS: PRODUCTS & SERVICES 173
TABLE 64 CEA-LETI: PRODUCTS & SERVICES 177
TABLE 65 DAS PHOTONICS: PRODUCTS & SERVICES 180
TABLE 66 OPTOCAP LTD.: PRODUCTS & SERVICES 185
TABLE 67 PHOENIX SOFTWARE: PRODUCTS AND SRVICES 188
TABLE 68 CALIOPA NV: PRODUCTS AND SERVICES 192
TABLE 69 OCLARO INC.: PRODUCTS & SERVICES 195
TABLE 70 MELLANOX TECHNOLOGIES : PRODUCTS AND SERVICES 200

LIST OF FIGURES

FIGURE 1 SILICON PHOTONICS INDUSTRY MONETORY CHAIN AND
MARKET SCOPE 18
FIGURE 2 SILICON PHOTONICS TECHNOLOGY - MARKET ASPECT COVERD 19
FIGURE 3 RESEARCH METHODOLOGY 23
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY 26
FIGURE 5 DATA TRANGULATION METHODOLOGY 27
FIGURE 6 EVOLUTION OF SILICON PHOTONICS 46
FIGURE 7 PARENTAL STRUCTURE OF SILICON PHOTONICS 47
FIGURE 8 BUILDING BLOCKS OF SILICON PHOTONICS DEVICES 48
FIGURE 9 TECHNOLOGICAL TRENDS 49
FIGURE 10 COMPARISON OF INTEGRATION TECHNIQUES 50
FIGURE 11 SILICON PHOTONICS APPLICATION LIFE-CYCLE ANALYSIS 54
FIGURE 12 SILICON PHOTONICS PRODUCTS GEOGRAPHICAL
TRENDS (2013 – 2020) 61
FIGURE 13 SILICON PHOTONICS PRODUCTS SEGMENTATION 63
FIGURE 14 SILICON PHOTONICS: APPLICATION STRUCTURE 100
FIGURE 15 FINISAR CORPORATION: COMPANY SNAPSHOT 140
FIGURE 16 HAMAMATSU PHOTONICS: COMPANY SNAPSHOT 143
FIGURE 17 HEWLETT-PACKARD CO.: COMPANY SNAPSHOT 147
FIGURE 18 INTEL CORP.: COMPANY SNAPSHOT 150
FIGURE 19 IBM CORP.: COMPANY SNAPSHOT 154
FIGURE 20 INFINERA INC.: COMPANY SNAPSHOT 157
FIGURE 21 ST MICROELECTRONICS: COMPANY SNAPSHOT 167
FIGURE 22 ORACLE CORPORATION: COMPANY SNAPSHOT 170
FIGURE 23 OCLARO INC.: COMPANY SNAPSHOT 195
FIGURE 24 MELLANOX TECHNOLOGIES: COMPANY SNAPSHOT 199

To order this report: Silicon Photonics Market by Products (Silicon Optical Interconnects & Wavelength Division Multiplexer Filters & Others), Applications (Telecommunication, Datacom, High Performance Computing & Others) & Geography - Analysis & Forecast (2013 - 2020)
http://www.reportlinker.com/p02003734/Silicon-Photonics-Market-by-Products-Silicon-Optical-Interconnects--Wavelength-Division-Multiplexer-Filters--Others-Applications-Telecommunication-Datacom-High-Performance-Computing--Others--Geography---Analysis--Forecast-2013---2020.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Tourism

__________________________
Contact Clare: clare@reportlinker.com
US: (339)-368-6001
Intl: +1 339-368-6001

SOURCE Reportlinker

More Stories By PR Newswire

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

@ThingsExpo Stories
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...
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...
Innodisk is a service-driven provider of industrial embedded flash and DRAM storage products and technologies, with a focus on the enterprise, industrial, aerospace, and defense industries. Innodisk is dedicated to serving their customers and business partners. Quality is vitally important when it comes to industrial embedded flash and DRAM storage products. That’s why Innodisk manufactures all of their products in their own purpose-built memory production facility. In fact, they designed and built their production center to maximize manufacturing efficiency and guarantee the highest quality of our products.
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. Over the summer Gartner released its much anticipated annual Hype Cycle report and the big news is that Internet of Things has now replaced Big Data as the most hyped technology. Indeed, we're hearing more and more about this fascinating new technological paradigm. Every other IT news item seems to be about IoT and its implications on the future of digital business.