Click here to close now.

Welcome!

Eclipse Authors: Sematext Blog, Marcin Warpechowski, Trevor Parsons, Michael Meiner, Carmen Gonzalez

News Feed Item

Mobile Robotics Market - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2013 - 2019

NEW YORK, April 23, 2014 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Mobile Robotics Market - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2013 - 2019

http://www.reportlinker.com/p02081790/Mobile-Robotics-Market---Global-Industry-Analysis-Size-Share-Growth-Trends-and-Forecast-2013---2019.html

The research report on mobile robotics market provides detailed analysis on a global basis, with further breakdown into various sub-segments. It provides cross-sectional analysis of the market based on parameters such as travelling environment, applications and geography.

The mobile robots have found wide applications in industry, military, service and domestic sectors. Mobile robots are classified on the basis of their travelling environment into Unmanned Ground Vehicles (UGVs), Unmanned Aerial Vehicles (UAVs), Unmanned Surface Vehicles (USVs) and Autonomous Underwater Vehicles (AUVs).

This market research study analyzes the mobile robotics market on a global level, and provides estimates in terms of revenue (USD Million) from 2013 to 2019. It recognizes the drivers and restraints affecting the industry and analyzes their impact over the forecast period. Moreover, it identifies the significant opportunities for market growth in the coming years.

The mobile robotics market has been segmented on the basis of geography into North America, Europe, Asia Pacific, and Rest of the World (RoW), and estimated in terms of revenue (USD Million). The report includes cross sectional analysis of type and applications across each geography segments in terms of revenue (USD Million).

The study provides value chain analysis in order to identify the various players in the industry along with their role in the ecosystem. Further, it includes Porter's five forces analysis, which determines the degree of competition in the market by analyzing the bargaining power of buyers and suppliers, as well as the threat of new entrants and substitute products. The market attractiveness tool calculates the attractiveness of the application segments, where they are benchmarked based on their market scope, growth rate, and general attractiveness.

This study includes profile of key players in the market and the strategies adopted by them to sustain the competition. Recent developments and barriers of the market will help emerging players to design their strategies in an effective manner. The study is expected to help key players of mobile robots in formulating and developing their strategies.

The market has been segmented as follows:

Mobile Robotics Market, By Travelling Environment:


Unmanned Ground Vehicles (UGVs) including Automated Guided Vehicles (AGVs)
Unmanned Aerial Vehicles (UAVs) including drones
Unmanned Surface Vehicles (USVs)
Autonomous Underwater Vehicles (AUVs)

Mobile Robotics Market, By Applications:

Logistics and warehousing
Others include mobile robots used for automotive Industry, assembly, coating and dispensing, panting and depainting and inspection applications
Defense and military
Medical and healthcare
Field applications include mobile robots used in nuclear environments, agricultural purposes, forest harvesting, and mining
Domestic
Entertainment

Mobile Robotics Market, By Geography:

North America
Europe
Asia-Pacific
Rest of the World (Africa, Middle East and Latin America)


Chapter 1 Global Mobile Robotics Market
1.1 Research description
1.2 Research scope
1.3 Research methodology

Chapter 2 Executive Summary

Chapter 3 Market Overview
3.1 Introduction
3.2 Market dynamics
3.2.1 Market Drivers
3.2.1.1 Integration of mobile robots with mobile technologies, other smart products, and appliances
3.2.1.2 Increasing grants and funds by governments
3.2.1.3 Increasing venture capital investments in service robotics companies
3.2.1.4 Decreasing price of sensors and cameras and availability of open source platforms
3.2.2 Market Restraints
3.2.2.1 Long time to market
3.2.2.2 Lack of experts in R&D of mobile robotics market
3.2.3 Market opportunities
3.2.3.1 Untapped Market

3.3 Value chain analysis
3.3.1 Standard components and subsystems providers
3.3.2 Special components suppliers
3.3.3 Robotics software providers
3.3.4 Mobile robot manufacturers and suppliers
3.3.5 System integrators and value added resellers
3.4 Mobile robot industry – Porter's Five Forces Analysis
3.4.1 Bargaining power of suppliers
3.4.2 Bargaining power of buyers
3.4.3 Threat from substitute
3.4.4 Threat from new entrants
3.4.5 Degree of competition
3.5 Global Mobile Robotics: Market attractiveness analysis

Chapter 4 Global mobile robotics market by their travelling environment, 2013 – 2019
4.1 Introduction
4.2 Unmanned Ground Vehicles (UGVs)
4.2.1 Unmanned Ground Vehicles (UGVs), market size and forecast, 2011 – 2019 (USD Million)
4.3 Unmanned Aerial Vehicles (UAVs)
4.3.1 Unmanned Aerial Vehicles (UAVs), market size and forecast, 2011 – 2019 (USD Million)
4.4 Unmanned Surface Vehicles (USVs)
4.4.1 Unmanned Surface Vehicles (USVs), market size and forecast, 2011 – 2019 (USD Million)
4.5 Autonomous Underwater Vehicles (AUVs)
4.5.1 Autonomous Underwater Vehicles (AUVs), market size and forecast, 2011 – 2019 (USD Million)

Chapter 5 Global Mobile Robotics Market by Application, 2013 – 2019
5.1 Introduction
5.2 Mobile robots used for industrial application
5.2.1 Mobile robots used for industrial applications, market size and forecast, 2011 – 2019 (USD million)
5.2.2 Mobile robotics market size and forecast, industrial application 2011 – 2019 (USD million)
5.3 Mobile robots used for service application
5.3.1 Mobile robots used for service application, market size and forecast, 2011 – 2019 (USD million)
5.3.2 Mobile robotics market size and forecast, by service application 2011 – 2019 (USD million)
5.3.3 Mobile robotics market size and forecast, by professional service application 2011 – 2019 (USD million)
5.3.4 Mobile robotics market size and forecast, by personal service application 2011 – 2019 (USD million)

Chapter 6 Global Mobile Robotics Market by Geography, 2013 – 2019
6.1 Introduction
6.1.1 Global mobile robotics market revenue share, by geography, 2012 and 2019 (%)
6.2 North America
6.2.1 North America mobile robotics market revenue and forecast, 2012 – 2019 (USD Million)
6.2.2 North America mobile robotics market revenue and forecast, 2011 – 2019 (USD million)
6.2.3 North America mobile robotics market revenue and forecast, by travelling environment, 2011 – 2019 (USD Million)
6.2.4 North America mobile robotics market revenue and forecast,by application, 2011 – 2019 (USD Million)
6.2.5 North America mobile robotics market size and forecast, industrial application 2011 – 2019 (USD million)
6.2.6 North America mobile robotics market size and forecast, by service application 2011 – 2019 (USD million)
6.2.7 North America mobile robotics market size and forecast, by professional service application 2011 – 2019 (USD million)
6.2.8 North America mobile robotics market size and forecast, by personal service application 2011 – 2019 (USD million)

6.3 Europe
6.3.1 Europe mobile robotics market revenue and forecast, 2011 – 2019 (USD Million)
6.3.2 Europe mobile robotics market revenue and forecast, 2011 – 2019 (USD million)
6.3.3 Europe mobile robotics market revenue and forecast, by travelling environment, 2011 – 2019 (USD Million)
6.3.4 Europe mobile robotics market revenue and forecast, by application, 2011 – 2019 (USD Million)
6.3.5 Europe mobile robotics market size and forecast, industrial application 2011 – 2019 (USD million)
6.3.6 Europe mobile robotics market size and forecast, by service application 2011 – 2019 (USD million)
6.3.7 Europe mobile robotics market size and forecast, by professional service application 2011 – 2019 (USD million)
6.3.8 Europe mobile robotics market size and forecast, by personal service application 2011 – 2019 (USD million)
6.4 Asia Pacific
6.4.1 Asia Pacific mobile robotics market revenue and forecast, 2011 – 2019 (USD Million)
6.4.2 Asia Pacific mobile robotics market revenue and forecast, 2011 – 2019 (USD million)
6.4.3 Asia Pacific mobile robotics market revenue and forecast,by travelling environment, 2011 – 2019 (USD Million)
6.4.4 Asia Pacific mobile robotics market revenue and forecast, by application, 2011 – 2019 (USD Million)
6.4.5 Asia Pacific mobile robotics market size and forecast, industrial application 2011 – 2019 (USD million)
6.4.6 Asia Pacific mobile robotics market size and forecast, by service application 2011 – 2019 (USD million)
6.4.7 Asia Pacific mobile robotics market size and forecast, by professional service application 2011 – 2019 (USD million)
6.4.8 Asia Pacific mobile robotics market size and forecast, by personal service application 2011 – 2019 (USD million)
6.5 Rest of the World (RoW)

6.5.1 RoW mobile robotics market revenue and forecast, 2011 – 2019 (USD Million)
6.5.2 RoW mobile robotics market revenue and forecast, 2011 – 2019 (USD million)
6.5.3 RoW mobile robotics market revenue and forecast, by travelling environment, 2011 – 2019 (USD Million)
6.5.4 RoW mobile robotics market revenue and forecast, by application, 2011 – 2019 (USD Million)
6.5.5 RoW mobile robotics market size and forecast, industrial application 2011 – 2019 (USD million)
6.5.6 RoW mobile robotics market size and forecast, by service application 2011 – 2019 (USD million)
6.5.7 RoW mobile robotics market size and forecast, by professional service application 2011 – 2019 (USD million)
6.5.8 RoW mobile robotics market size and forecast, by personal service application 2011 – 2019 (USD million)

Chapter 7 Company Profiles
7.1 iRobot Corporation
7.1.1 Company overview
7.1.2 Financial overview
7.1.3 Business strategies
7.1.4 SWOT analysis
7.1.5 Recent developments
7.2 Adept Technology
7.2.1 Company overview
7.2.2 Financial overview
7.2.3 Business strategy

7.2.4 SWOT analysis
7.2.5 Recent developments
7.3 Barrett Technology
7.3.1 Company overview
7.3.2 Financial overview
7.3.3 Business strategy
7.3.4 SWOT analysis
7.3.5 Recent developments
7.4 Swisslog
7.4.1 Company overview
7.4.2 Financial overview
7.4.3 Business strategy
7.4.4 SWOT analysis
7.4.5 Recent developments
7.5 John Deere
7.5.1 Company overview
7.5.2 Financial overview
7.5.3 Business strategy
7.5.4 SWOT analysis
7.5.5 Recent developments
7.6 FANUC Corporation
7.6.1 Company overview
7.6.2 Financial overview
7.6.3 Business strategies
7.6.4 SWOT analysis
7.6.5 Recent developments
7.7 KUKA AG
7.7.1 Company overview
7.7.2 Financial overview
7.7.3 Business strategies
7.7.4 SWOT analysis
7.7.5 Recent developments
7.8 Honda Motor Co. Ltd.
7.8.1 Company overview

7.8.2 Financial overview
7.8.3 Business strategy
7.8.4 SWOT analysis
7.8.5 Recent developments
7.9 Amazon
7.9.1 Company overview
7.9.2 Financial overview
7.9.3 Business strategy
7.9.4 SWOT analysis
7.9.5 Recent developments
7.10 Google Inc.
7.10.1 Company overview
7.10.2 Financial overview
7.10.3 Business strategy
7.10.4 SWOT analysis
7.10.5 Recent developments
7.11 Seegrid Corp.
7.11.1 Company overview
7.11.2 Financial overview
7.11.3 Business strategy
7.11.4 SWOT analysis
7.11.5 Recent developments
7.12 Boeing Co.
7.12.1 Company overview
7.12.2 Financial overview
7.12.3 Business strategy
7.12.4 SWOT analysis
7.12.5 Recent developments
7.13 Northrop Grumman Corporation
7.13.1 Company overview
7.13.2 Financial overview
7.13.3 Business strategy
7.13.4 SWOT analysis
7.13.5 Recent developments
7.14 Bossa Nova Robotics
7.14.1 Company overview

7.14.2 Financial overview
7.14.3 Business strategy
7.14.4 SWOT analysis
7.14.5 Recent developments
7.15 ECA Robotics
7.15.1 Company overview
7.15.2 Financial overview
7.15.3 Business strategy
7.15.4 SWOT analysis
7.15.5 Recent developments
7.16 Gecko Systems Intl. Corp.
7.16.1 Company overview
7.16.2 Financial overview
7.16.3 Business strategy
7.16.4 SWOT analysis
7.16.5 Recent developments
7.17 Kongsberg Maritime
7.17.1 Company overview
7.17.2 Financial overview
7.17.3 Business strategy
7.17.4 SWOT analysis
7.17.5 Recent developments
7.18 Aethon Inc.

7.18.1 Company overview
7.18.2 Financial overview
7.18.3 Business strategy
7.18.4 SWOT analysis
7.18.5 Recent developments
7.19 Harvest Automation, Inc.
7.19.1 Company overview
7.19.2 Financial overview
7.19.3 Business strategy
7.19.4 SWOT analysis
7.19.5 Recent developments
7.20 Bluefin Robotics
7.20.1 Company overview
7.20.2 Financial overview
7.20.3 Business strategy
7.20.4 SWOT analysis
7.20.5 Recent developments
7.21 QinetiQ
7.21.1 Company overview
7.21.2 Financial overview
7.21.3 Business strategy
7.21.4 SWOT analysis
7.21.5 Recent developments

List of Figures

FIG. 1 Global robotics venture capital investments (USD Million), 2010 - 2013
FIG. 2 Mobile robot industry – Value chain analysis
FIG. 3 Porter's five forces analysis for mobile robot industry
FIG. 4 Market attractiveness analysis, by application, 2012
FIG. 5 Mobile robotics market share (%), By travelling environment, 2012 and 2019
FIG. 6 Unmanned Ground Vehicles (UGVs), market size and forecast, 2011-2019 (USD million)
FIG. 7 Unmanned Aerial Vehicles (UAVs), market size and forecast, 2011-2019 (USD million)
FIG. 8 Unmanned Surface Vehicles (USVs), market size and forecast, 2011-2019 (USD million)
FIG. 9 Autonomous Underwater Vehicles (AUVs), market size and forecast, 2011-2019 (USD million)
FIG. 10 Mobile robotics market share (%), By applications, 2012 and 2019
FIG. 11 Mobile robots used for industrial applications, market size and forecast,2011-2019 (USD millions)
FIG. 12 Mobile robots used for service application, market size and forecast,2011-2019 (USD millions)
FIG. 13 Global mobile robotics market revenue share, by geography, 2012 and 2019 (%)

FIG. 14 North America mobile robotics market revenue and forecast, 2011 – 2019 (USD Million)
FIG. 15 Europe mobile robotics market revenue and forecast, 2011 – 2019 (USD Million)
FIG. 16 Asia Pacific mobile robotics market revenue and forecast, 2011 – 2019 (USD Million)
FIG. 17 RoW mobile robotics market revenue and forecast, 2011 – 2019 (USD Million)
FIG. 18 iRobot Corporation annual revenue, 2010 – 2012 (USD Million)
FIG. 19 Adept Technology, Inc., annual revenue, 2010 – 2012 (USD Million)
FIG. 20 Swisslog annual revenue, 2010 – 2012 (USD Million)
FIG. 21 John Deere's Agriculture and turf net segment and Construction and forestry segment annual net sales, 2010 – 2012 (USD Million)
FIG. 22 FANUC Corporation annual revenue, 2010 – 2012 (USD billion)
FIG. 23 KUKA AG Robotics annual sales revenue, 2010 – 2012 (USD billion)
FIG. 24 Honda's annual net sales and other operating revenue, 2010 – 2012 (USD Million)
FIG. 25 Amazon's annual net sales and other operating revenue, 2010 – 2012 (USD Million)
FIG. 26 Google's annual net sales and other operating revenue, 2010 – 2012 (USD Million)
FIG. 27 Boeing annual net sales and other operating revenue, 2010 – 2012 (USD Million)
FIG. 28 Northrop Grumman annual net sales and other operating revenue, 2010 – 2012 (USD Million)
FIG. 29 Kongsberg annual net sales and other operating revenue, 2010 – 2012 (USD Million)
FIG. 30 QinetiQ's annual net sales and other operating revenue, 2010 – 2012 (USD Million)

List of Tables

TABLE 1 Global mobile robots market snapshot 2012 and 2019
TABLE 2 Drivers of the global mobile robotics market: Impact Analysis
TABLE 3 Mobile robotics market size and forecast, by industrial application2011 – 2019 (USD million)
TABLE 4 Mobile robotics market size and forecast, by service application, 2011 – 2019 (USD million)
TABLE 5 Mobile robotics market size and forecast, by professional service application2011 – 2019 (USD million)
TABLE 6 Mobile robotics market size and forecast, by personal service application2011 – 2019 (USD million)
TABLE 7 North America mobile robotics revenue and forecast, by travelling environment, 2011 – 2019 (USD million)
TABLE 8 North America mobile robotics revenue and forecast, by application, 2011 – 2019 (USD million)
TABLE 9 North America mobile robotics market size and forecast, by industrial application, 2011 – 2019 (USD million)
TABLE 10 North America mobile robotics market size and forecast, by service application2011 – 2019 (USD million)

TABLE 11 North America mobile robotics market size and forecast, by professional service application2011 – 2019 (USD million)
TABLE 12 North America mobile robotics market size and forecast, by personal service application2011 – 2019 (USD million)
TABLE 13 Europe mobile robotics market size and forecast, by travelling environment,2011 – 2019 (USD million)
TABLE 14 Europe mobile robotics market size and forecast, by application2011 – 2019 (USD million)
TABLE 15 Europe mobile robotics market size and forecast, by industrial application, 2011 – 2019 (USD million)
TABLE 16 Europe mobile robotics market size and forecast, by service application, 2011 – 2019 (USD million)
TABLE 17 Europe mobile robotics market size and forecast, by professional service application, 2011 – 2019 (USD million)
TABLE 18 Europe mobile robotics market size and forecast, by personal service application, 2011 – 2019 (USD million)
TABLE 19 Asia Pacific mobile robotics market size and forecast, by travelling environment,2011 – 2019 (USD million)
TABLE 20 Asia Pacific mobile robotics market size and forecast, by application, 2011 – 2019 (USD million)
TABLE 21 Asia Pacific mobile robotics market size and forecast, by industrial application, 2011 – 2019 (USD million)
TABLE 22 Asia Pacific mobile robotics market size and forecast, by service application, 2011 – 2019 (USD million)
TABLE 23 Asia Pacific mobile robotics market size and forecast, by professional service application, 2011 – 2019 (USD million)

TABLE 24 Asia Pacific mobile robotics market size and forecast, by personal service application, 2011 – 2019 (USD million)
TABLE 25 RoW mobile robotics market size and forecast, by travelling environment,2011 – 2019 (USD million)
TABLE 26 RoW mobile robotics market size and forecast, by application, 2011 – 2019 (USD million)
TABLE 27 RoWmobile robotics market size and forecast, by industrial application, 2011 – 2019 (USD million)
TABLE 28 RoW mobile robotics market size and forecast, by service application 2011 – 2019 (USD million)
TABLE 29 RoW mobile robotics market size and forecast, by professional service application, 2011 – 2019 (USD million)
TABLE 30 RoW mobile robotics market size and forecast, by personal service application, 2011 – 2019 (USD million)


To order this report: Mobile Robotics Market - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2013 - 2019
http://www.reportlinker.com/p02081790/Mobile-Robotics-Market---Global-Industry-Analysis-Size-Share-Growth-Trends-and-Forecast-2013---2019.html

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

SOURCE Reportlinker

More Stories By PR Newswire

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

@ThingsExpo Stories
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...
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 ...
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...
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.
HP and Aruba Networks on Monday announced a definitive agreement for HP to acquire Aruba, a provider of next-generation network access solutions for the mobile enterprise, for $24.67 per share in cash. The equity value of the transaction is approximately $3.0 billion, and net of cash and debt approximately $2.7 billion. Both companies' boards of directors have approved the deal. "Enterprises are facing a mobile-first world and are looking for solutions that help them transition legacy investments to the new style of IT," said Meg Whitman, Chairman, President and Chief Executive Officer of HP...
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...
SYS-CON Events announced today that Open Data Centers (ODC), a carrier-neutral colocation provider, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place June 9-11, 2015, at the Javits Center in New York City, NY. Open Data Centers is a carrier-neutral data center operator in New Jersey and New York City offering alternative connectivity options for carriers, service providers and enterprise customers.
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...
PubNub on Monday has announced that it is partnering with IBM to bring its sophisticated real-time data streaming and messaging capabilities to Bluemix, IBM’s cloud development platform. “Today’s app and connected devices require an always-on connection, but building a secure, scalable solution from the ground up is time consuming, resource intensive, and error-prone,” said Todd Greene, CEO of PubNub. “PubNub enables web, mobile and IoT developers building apps on IBM Bluemix to quickly add scalable realtime functionality with minimal effort and cost.”
Sensor-enabled things are becoming more commonplace, precursors to a larger and more complex framework that most consider the ultimate promise of the IoT: things connecting, interacting, sharing, storing, and over time perhaps learning and predicting based on habits, behaviors, location, preferences, purchases and more. In his session at @ThingsExpo, Tom Wesselman, Director of Communications Ecosystem Architecture at Plantronics, will examine the still nascent IoT as it is coalescing, including what it is today, what it might ultimately be, the role of wearable tech, and technology gaps stil...
With several hundred implementations of IoT-enabled solutions in the past 12 months alone, this session will focus on experience over the art of the possible. Many can only imagine the most advanced telematics platform ever deployed, supporting millions of customers, producing tens of thousands events or GBs per trip, and hundreds of TBs per month. With the ability to support a billion sensor events per second, over 30PB of warm data for analytics, and hundreds of PBs for an data analytics archive, in his session at @ThingsExpo, Jim Kaskade, Vice President and General Manager, Big Data & Ana...
In the consumer IoT, everything is new, and the IT world of bits and bytes holds sway. But industrial and commercial realms encompass operational technology (OT) that has been around for 25 or 50 years. This grittier, pre-IP, more hands-on world has much to gain from Industrial IoT (IIoT) applications and principles. But adding sensors and wireless connectivity won’t work in environments that demand unwavering reliability and performance. In his session at @ThingsExpo, Ron Sege, CEO of Echelon, will discuss how as enterprise IT embraces other IoT-related technology trends, enterprises with i...
When it comes to the Internet of Things, hooking up will get you only so far. If you want customers to commit, you need to go beyond simply connecting products. You need to use the devices themselves to transform how you engage with every customer and how you manage the entire product lifecycle. In his session at @ThingsExpo, Sean Lorenz, Technical Product Manager for Xively at LogMeIn, will show how “product relationship management” can help you leverage your connected devices and the data they generate about customer usage and product performance to deliver extremely compelling and reliabl...
The Internet of Things (IoT) is causing data centers to become radically decentralized and atomized within a new paradigm known as “fog computing.” To support IoT applications, such as connected cars and smart grids, data centers' core functions will be decentralized out to the network's edges and endpoints (aka “fogs”). As this trend takes hold, Big Data analytics platforms will focus on high-volume log analysis (aka “logs”) and rely heavily on cognitive-computing algorithms (aka “cogs”) to make sense of it all.
One of the biggest impacts of the Internet of Things is and will continue to be on data; specifically data volume, management and usage. Companies are scrambling to adapt to this new and unpredictable data reality with legacy infrastructure that cannot handle the speed and volume of data. In his session at @ThingsExpo, Don DeLoach, CEO and president of Infobright, will discuss how companies need to rethink their data infrastructure to participate in the IoT, including: Data storage: Understanding the kinds of data: structured, unstructured, big/small? Analytics: What kinds and how responsiv...
Since 2008 and for the first time in history, more than half of humans live in urban areas, urging cities to become “smart.” Today, cities can leverage the wide availability of smartphones combined with new technologies such as Beacons or NFC to connect their urban furniture and environment to create citizen-first services that improve transportation, way-finding and information delivery. In her session at @ThingsExpo, Laetitia Gazel-Anthoine, CEO of Connecthings, will focus on successful use cases.
Sensor-enabled things are becoming more commonplace, precursors to a larger and more complex framework that most consider the ultimate promise of the IoT: things connecting, interacting, sharing, storing, and over time perhaps learning and predicting based on habits, behaviors, location, preferences, purchases and more. In his session at @ThingsExpo, Tom Wesselman, Director of Communications Ecosystem Architecture at Plantronics, will examine the still nascent IoT as it is coalescing, including what it is today, what it might ultimately be, the role of wearable tech, and technology gaps stil...
The true value of the Internet of Things (IoT) lies not just in the data, but through the services that protect the data, perform the analysis and present findings in a usable way. With many IoT elements rooted in traditional IT components, Big Data and IoT isn’t just a play for enterprise. In fact, the IoT presents SMBs with the prospect of launching entirely new activities and exploring innovative areas. CompTIA research identifies several areas where IoT is expected to have the greatest impact.
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...
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.