Mobile Data & Applications: State of the Industry, Market Prospects, and Forecast 2013 – 2018

ResearchMoz include new market research report”Mobile Data & Applications Market Prospects 2013-2018: Industry Size, Shares, Growth, Trends And Forecast ” to its huge collection of research reports.

Mobile applications continue an explosive growth phase. There can be no doubt that several factors have led to this including data speed improvements from 3G to 4G, Apple’s pioneering and Google’s entry into the mobile OS arena, mobile application store expansion with open development, and the overall rapid penetration and usage of smartphones. We see the fourth generation (4G) of cellular via the LTE standard contributing a particularly profound effect on mobile application evolution.

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Mobile apps are more than just a direct to consumer phenomenon as leading enterprise companies take mobile apps seriously. Just as over a decade ago every company needed an attractive, useful website, today leading companies are focused on compelling mobile apps. Savvy companies are leveraging mobile apps to their advantage with native custom mobile application development a top priority for IT organizations.

This report assesses the current state of the industry and evaluates mobile app development best practices and success factors, impact of mobile data improvements on apps, and provides a comparative analysis of native apps vs. HTML5 based applications. The report analyzes mobile application impact on future developments within key industry verticals such as healthcare, financial services, and others.

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The report also provides a global forecast for mobile applications segmented by mobile OS and App Store and mobile OS and Business Model:

Global Mobile Application Revenue by App Store 2013 – 2018

Amazon App Store
Apple App Store
Bada App Store
BlackBerry App World
FireFox OS
Google Play
Kindle App Store
Nokia App Store
Nook App Store
Tizen
WebOS App Store
Windows Store
Others

Global Mobile Application Revenue by Business Model 2013 – 2018

Virtual Goods
Advertising Revenue
Subscription Revenue
Download Revenue

Target Audience:

Mobile network operators
Mobile handset manufacturers
OS and application store companies
Wireless/Mobile application developers
Wireless/Mobile infrastructure providers
Personal computing device manufacturers
Services infrastructure and outsourcing providers

Table of Contents:

1.0 EXECUTIVE SUMMARY 8

2.0 INTRODUCTION 9
2.1 OVERVIEW 9
2.2 MOBILE DATA: STATE OF THE INDUSTRY 16
2.2.1 Additional Mobile Data Related Milestones: 17
2.2.2 Mobile Data Related Projections: 17
2.2.3 Mobile Video a Significant Driver of Mobile Data 18
2.3 MOBILE APP HOPES AND REALITIES 19
2.4 TARGET AUDIENCE ANALYSIS 21
2.5 RISE OF THE MEGA SDK VENDORS IN MOBILE 23
2.6 BRING YOUR OWN DEVICE (BYOD) 27
2.7 EVENT LOGGING, ANALYTICS AND REPORTING 27

3.0 MOBILE APP SUCCESS FACTORS 28
3.1 APP MARKETING SERVICES 28
3.2 ACCESSIBILITY 30
3.3 THE PERSONAL TOUCH 30
3.4 HIGH DEGREE OF PUBLICITY 30
3.5 STRENGTH IN NUMBERS 30
3.6 LONG-LASTING RELATIONSHIP 31
3.7 THE SPIRIT OF PARTICIPATION 31
3.8 HIGHLY TARGETED MARKETING 31
3.9 REAL-TIME PERFORMANCE 31
3.10 ENTERPRISE MOBILE SERVICES 32

4.0 IMPLEMENTATION AND OPERATION CONSIDERATIONS 34
4.1 LAUNCHING AND OPERATING MOBILE APPS 34
4.1.1 Mobile Application testing 34
4.1.2 Google Android Emulator 35
4.1.3 Official Android SDK Emulator 35
4.1.4 MobiOne 35
4.1.5 Test iPhone 35
4.1.6 IPhone 35
4.1.7 BlackBerry Simulator 35
4.1.8 ZAP-fix for Mobile Application Testing 36
4.1.9 See Test from Experitest 36
4.2 ADVANTAGES OF A MOBILE WEBSITE VS. NATIVE APPS 36
4.2.1 Immediacy – Mobile Websites Are Instantly Available 36
4.2.2 Compatibility – Mobile Websites are Compatible across Devices 36
4.2.3 Upgradability – Mobile Websites Can Be Updated Instantly 37
4.2.4 Fundability – Mobile Websites Can be found easily 37
4.2.5 Share ability – Mobile Websites Can be Shared Easily by Publishers, and Between Users 37
4.2.6 Reach – Mobile Websites Have Broader Reach 37
4.2.7 Lifecycle – Mobile Websites can’t be deleted 37
4.2.8 Mobile Website can is an App! 38
4.2.9 Time and Cost – Mobile Websites are Easier and Less Expensive 38
4.2.10 Support and Sustainability 38

5.0 MOBILE APPS IN OPERATION 41
5.1 APPLICATIONS 41
5.2 APP REVIEW: IBANK MOBILE 41
5.3 ACCOUNTS 42
5.4 TRANSACTIONS 42
5.5 SYNCHRONIZATION 43
5.6 MOBILE DATA NETWORKS 44
5.7 DATA SERVICE PLANS 44
5.7.1 Pay-per-use 44
5.7.2 Metered Use 45
5.7.3 Unlimited Use 45
5.7.4 Prepaid 45

6.0 NATIVE APPS VS. HTML5 47
6.1 THE FUTURE OF MOBILE APP DEVELOPMENT: NATIVE VS. HTML5 47
6.2 BENEFITS OF HTML5 47
6.3 WHY DEVELOPERS LOVE HTML5 47
6.4 WHO CREATED HTML5 AND WHY? 47
6.5 WHAT ARE HTML5 APPS? 48
6.6 MOBILE WEB BROWSER MARKET SHARE 48
6.7 THE FUTURE OF HTML5 48
6.8 THE PROBLEM WITH MARKETING HTML5 APPS 48
6.9 THE NATIVE APP STORE ECONOMY 49
6.10 THE FUTURE OF MOBILE APP DEVELOPMENT 49

7.0 MOBILE APPLICATION METRICS 50
7.1 MOBILE APP USAGE 50
7.2 SMARTPHONE APP USAGE VS.MOBILE WEB AND SMS 51
7.3 MOBILE APPS VS. MOBILE WEB PREFERENCES 53
7.4 MOBILE APPLICATION VOLUME 53
7.5 MOBILE APPS ARE DOWNLOADS PER YEAR 53
7.6 ANDROID-FIRST STRATEGY 53
7.7 APP REVENUE GENERATION 54
7.7.1 Mobile Apps Winners 54
7.7.2 Mobile App Losers 55
7.8 MAKING MONEY WITH APPS 56
7.9 APP STORE EXPANSION 58
7.9.1 Largest App Stores 59
7.9.2 Best App Stores 59
7.10 MOST POPULAR APPS 60
7.11 MOST USED APPS 61
7.12 FAILED APP DEPLOYMENTS 62
7.13 MOBILE APP SUBSTITUTION FOR MOBILE WEBSITE 62
7.14 BBUSINESSES USE OF ENTERPRISE (PRIVATE) APP STORES 63

8.0 MOBILE APPLICATION FORECASTS 2013 – 2018 64
8.1 GLOBAL MOBILE APP REVENUE BY APP STORE 2013 – 2018 64
8.2 GLOBAL MOBILE APP REVENUE BY BUSINESS MODEL 2013 – 2018 66
9.0 CONCLUSIONS AND RECOMMENDATIONS 68

10.0 APPENDICES 71
10.1 LTE TECHNOLOGY AND ARCHITECTURE 71
10.1.1 LTE Technology 71
10.1.1.1 FDD LTE 73
10.1.1.2 TDD LTE (TD-LTE) 73
10.1.2 LTE Advanced 74
10.1.3 LTE Infrastructure Elements and Architecture 75
10.1.3.1 LTE E-UTRAN 76
10.1.3.2 LTE Remote Radio Heads 77
10.1.3.3 LTE Base Station 77
10.1.3.4 LTE Femtocells 78
10.1.3.5 LTE Antenna Schemes 80
10.1.3.6 LTE RAN Infrastructure and Frequency Reuse 81
10.1.3.7 LTE EPC Infrastructure Elements 81
10.1.3.8 Serving and Packet Gateway 82
10.1.3.9 Mobility Management Entity 84
10.1.3.10 Policy and Charging Rules Function 84
10.1.3.11 IP Multimedia Subsystem 85
10.1.3.12 EPC and Core Network Equipment Reuse in LTE 85
10.2 LTE ARCHITECTURE DETAILS 86
10.2.1 Service Architecture 87
10.2.2 Layer 2 of LTE 88
10.2.3 Downlink Logical 89
10.2.4 Uplink Logical 90
10.2.5 Mobility Across eNBs 91
10.3 IP MULTIMEDIA SUBSYSTEM (IMS 93
10.3.1 IMS Planes 93
10.3.2 IMS Network Elements 94
10.4 SERVICE CENTRALIZED AND CONTINUITY APPLICATION SERVER (SCC) 96

List of Tables

TABLE 1 – USERS OF MOBILE APPS GLOBALLY BY REGION 2012-2017 51
TABLE 2 – ACTIVITIES PERFORMED BY SMARTPHONE USERS 52
TABLE 3 – NUMBER OF APPS RESPONSIBLE FOR SIGNIFICANT REVENUE AT APPLE APP STORE AND GOOGLE PLAY 55
TABLE 4 – REVENUE DISTRIBUTION BY PLATFORM 56
TABLE 5 – DOWNLOADS OF MOBILE APPS FROM ALL STORES GLOBALLY, 2010-2016 58
TABLE 6 – NUMBER OF APPS DOWNLOADED AND USED ONLY ONCE 62
TABLE 7 – GLOBAL MOBILE APP REVENUE BY APP STORE 2013 – 2018 66
TABLE 8 – GLOBAL MOBILE APP REVENUE BY BUSINESS MODEL 2013 – 2018 67

List of Figures

FIGURE 1 – MOBILE SOPHISTICATION 12
FIGURE 2 – DESCRIPTION ABOUT THE MOBILE DATA APPLICATIONS AND USERS 13
FIGURE 3 – AREA WISE SPEED NETWORK OF MOBILE INTERNET CONNECTION 13
FIGURE 4 – MEDICAL REQUIREMENTS 15
FIGURE 5 – TOP COUNTRIES USING MOBILE TRAVEL APPLICATIONS 15
FIGURE 7 – OUTLOOK FOR MOBILE APPLICATIONS 25
FIGURE 8 – SMARTPHONE DATA LEGEND 40
FIGURE 8 – GLOBAL MOBILE APP REVENUE BY APP STORE 65
FIGURE 9 – GLOBAL MOBILE APP REVENUE BY BUSINESS MODEL 67
FIGURE 10: LTE E-UTRAN INFRASTRUCTURE NETWORK ELEMENTS 76
FIGURE 11: LTE EPC INFRASTRUCTURE NETWORK ELEMENTS 82
FIGURE 12: UNDERSTANDING LTE NETWORK ELEMENTS AND CHANNELS 88
FIGURE 13: IMS PLANES 93
FIGURE 14: IMS MODEL 95
FIGURE 15: SERVICE CENTRALIZED AND CONTINUITY APPLICATION SERVER 96

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Separating Membrane Industry Global and China Research Report, 2013 – 2016

ResearchMoz include new market research report” Global and China Separating Membrane Industry Report, 2013 – 2016: Market Size, Shares, Growth, Trends And Forecast ” to its huge collection of research reports.

In 2012, the global market scale of separating membrance products approached USD12 billion, of which, the market size of reverse osmosis membrance (including nanofiltration membrance), micro-filtration membrance and ultrafiltration membrance stood at around 95%. Worldwide, industrial players from Japan and the United States play a more dominant role, cases including Toray Industries, Mitsubishi Rayon, Asahi Kasei Corporationin all professional in micro-filtration and ultrafilatration membrance fields, as well as Hydranautics, The Dow Chemical Company, and GE in reverse osmosis membrance/nanofiltration membrance arenas.
China separating membrane market has witnessed robust development with the growth pace keeping at 20%-30% in last ten years, albeit as a later starter. In 2012, the size of China separating membrance products market approximated RMB12 billion, with the proportion worldwide soaring to 16.3%. it is projected that China separating membrance market will continue its growth rate by around 20% in the upcoming years and that the figure by 2016 will jump to roughly RMB25 billion.

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About ResearchMoz

ResearchMoz is the one stop online destination to find and buy market research reports & Industry Analysis. We fulfill all your research needs spanning across industry verticals with our huge collection of market research reports. We provide our services to all sizes of organizations and across all industry verticals and markets. Our Research Coordinators have in-depth knowledge of reports as well as publishers and will assist you in making an informed decision by giving you unbiased and deep insights on which reports will satisfy your needs at the best price.

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Big Data vs Small Data Strategies for Next Generation Business

ResearchMoz include new market research report”Big Data vs Small Data Strategies for Next Generation Business: industry Size, Shares, Growth, Trends And Forecast ” to its huge collection of research reports.
The data market is booming with an ever increasing valuation. In the virtual data ocean, Big Data and small data are complementary strategies at one level and choices of scale/scope at a different level. While Big Data holds distant promises, leveraging “small data” can provide great benefits to small-to-medium business (SMB) as well as large corporations. Simply stated, the cost-performance barrier leaves many lucrative markets inadequately served by Big Data approaches. Carefully chosen data solutions and models should be more accurate, objective, and ultimately lead to improved ROI especially for more near-term time horizons and/or companies with limitations in scale/scope.
This research provides the reader with an understanding of data management issues, challenges and opportunities relative to Big Data and small data approaches. The report includes analysis of small data practices and emerging small data business models and scenarios. This report evaluates strategies, considerations, and planning for a so-called “small data” strategy. It also compares and contrasts Big Data vs. small data strategies in terms of company capabilities and focus. The report also evaluates the future of Big Data including emerging business models and practices.
Target Audience: 
 
  • SMB of all types
  • Big Data companies
  • Social network companies
  • Telecom service providers
  • Data services and analytics companies
  • Cloud and telecom infrastructure providers

Browse PDF : Big Data vs Small Data Strategies for Next Generation Business

Table of Contents: 
 
1.0 EXECUTIVE SUMMARY 5
 
2.0 DATA TREND ANALYSIS 7
2.1 DATA SEARCH 7
2.2 DATA QUALITY 8
2.3 TIMED DATA DELIVERY 9
2.4 DATA STORAGE CAPACITY 10
2.5 DEFINING BIG & SMALL DATA INCLUDING SOURCING 12
2.6 BIG DATA VS. SMALL DATA DIFFERENTIATION 13
2.6.1 DATA MINING 13
2.6.2 DATA PURPOSE 13
2.6.3 KEY DECISIONS 13
2.7 DECISION PARAMETERS FOR BIG VS. SMALL DATA 14
2.8 USABILITY OF SMALL VS. BIG DATA IN MARKETING 15
3.0 BIG DATA MARKET ADVANCEMENT AND FORECAST 2014 – 2020 17
3.1 BIG DATA MARKET TREND 17
3.1.1 TRENDS IN THE ADVANCE OF BIG DATA 17
3.1.2 BIG DATA ANALYTICS 18
3.1.3 BIG DATA MARKET FORECAST 18
3.1.4 CASE STUDIES & STRATEGIC RECOMMENDATION FOR START-UP BUSINESSES 19
3.2 BIG DATA VALUE CHAIN 22
3.2.1 CREATING TRANSPARENCY 22
3.2.2 ENABLING EXPERIMENTATION 22
3.2.3 SEGMENTING POPULATIONS TO CUSTOMIZE ACTIONS 23
3.2.4 REPLACING/SUPPORTING HUMAN DECISION MAKING WITH AUTOMATION 23
3.2.5 INNOVATING NEW BUSINESS MODELS, PRODUCTS, AND SERVICES 23
3.3 BIG DATA IMPLEMENTATION RECOMMENDATIONS 23
3.3.1 FOR VENDOR COMPANY 23
3.3.2 INDUSTRY VERTICAL 24
3.3.3 CONSIDERATION FOR INDUSTRY STRUCTURE 24
3.4 BIG DATA TECHNIQUES 24
3.4.1 A/B TESTING 25
3.4.2 ASSOCIATION RULE LEARNING 25
3.4.3 CLASSIFICATION 25
3.4.4 CLUSTER ANALYSIS 25
3.4.5 CROWD SOURCING 26
3.4.6 DATA FUSION AND DATA INTEGRATION 26
3.4.7 DATA MINING 26
3.4.8 OTHER TECHNIQUES 26
3.5 BIG DATA TECHNOLOGY 27
3.6 BIG DATA INDUSTRY INSIGHTS & ANALYSIS 27
3.6.1 US HEALTHCARE 28
3.6.2 EUROPE PUBLIC SECTOR ADMINISTRATION 28
3.6.3 GLOBAL PERSONAL LOCATION DATA 28
3.6.4 US RETAIL INDUSTRY 28
3.6.5 GLOBAL MANUFACTURING INDUSTRY 28
3.6.6 ANALYSIS 28
3.7 CASE STUDIES 29
3.8 EMERGING BUSINESS MODELS 30
3.8.1 AGGREGATING AND SYNTHESIZING PATIENT CLINICAL RECORDS/CLAIMS 30
3.8.2 ONLINE PLATFORMS AND COMMUNITIES 30
3.8.3 PUBLIC HEALTH 31
3.8.4 RETAIL INDUSTRY 31
3.8.5 PLACEMENT AND DESIGN OPTIMIZATION 32
3.8.6 PRICE COMPARISON SERVICES 33
3.8.7 WEB-BASED MARKETS 33
3.8.8 PERSONAL LOCATION DATA 33
3.8.9 SMART ROUTING 34
3.8.10 AUTOMOTIVE TELEMATICS 34
3.8.11 MOBILE LOCATION-BASED SERVICES 35
3.8.12 SHOPALERTS 35
3.8.13 CIVIC POWERED MODEL 35
4.0 SMALL DATA 37
4.1 DIFFERENCE VS. RELATIONSHIP WITH BIG DATA 37
4.2 SMALL DATA TECHNOLOGIES 38
4.3 HOW TO ANALYZE SMALL DATA? 38
4.4 HOW BANKS ARE LEVERAGING DATA 39
4.5 SMALL DATA MODELING IN THE CLOUD 39
4.6 SMALL DATA PROBLEMS IN MASS MARKET 40
5.0 SMALL DATA DRIVEN EMERGING BUSINESS MODELS 41
5.1 SOCIAL NETWORK 41
5.1.1 CASE STUDY: RENREN 41
5.2 LITTLE DATA CONTROLLING 42
5.3 KEY CONSIDERATION FOR DELIVERING SMALL DATA STRATEGY 43
5.4 SMALL DATA FRAMEWORK 44
5.5 SMALL DATA PRINCIPLES 45
5.6 SMALL DATA WITH BIG IMPACT 45
5.7 CASE STUDIES 45
5.7.1 THE REAL DELI 45
5.7.2 GOOGLE 46
5.7.3 ADOBE 46
5.7.4 FOURSQUARE 47
5.7.5 TWITTER 47
5.7.6 ATTIVIO 47
5.7.7 OTHER COMPANIES 47
5.8 RECOMMENDATION 47
5.8.1 FOR E-COMMERCE COMPANY 47
5.8.2 FOR MULTI-STORE CHAINS 48
5.9 GUIDELINES FOR SMALL DATA BEST PRACTICES 48
6.0 CONCLUSIONS 49

List of Tables

Table 1: Decision Points for using Big Data 14
Table 2: How Small Data is Different 37

List of Figures

Figure 1: Data Search Trends in Google 2009 – 2013 7
Figure 2: Global Data Search, Generation, and Delivery Trends 9
Figure 3: Global digital vs. Analog Data Storage Capacity 1986 – 2021 11
Figure 4: Big Data Market Value 2011 – 2020 19
Figure 5: Big Data Value Chain 22
Figure 6: Small Data Implementation Framework 45

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ResearchMoz is the one stop online destination to find and buy market research reports & Industry Analysis. We fulfill all your research needs spanning across industry verticals with our huge collection of market research reports. We provide our services to all sizes of organizations and across all industry verticals and markets. Our Research Coordinators have in-depth knowledge of reports as well as publishers and will assist you in making an informed decision by giving you unbiased and deep insights on which reports will satisfy your needs at the best price.

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China Medical Monitor Industry Report, 2013: Market Size, Shares, Trends and 2015 Forecast Research

ResearchMoz include new market research report”China Medical Monitor Market Report, 2013-2015″ to its huge collection of research reports.

In 2007-2011, the Chinese medical monitor market size rose from RMB1.16 billion to RMB3.08 billion at a CAGR of 27.8%. In 2012, the figure reached RMB3.86 billion, a year-on-year increase of 25.3%, of which, multi-parameter monitor market size accounted for more than 60%.

China is a major exporter of monitor, in 2006-2012 the export volume grew at a CAGR of 22.9%. From January to October of 2013 China’s export volume of medical monitors climbed 16.7% YoY. Meanwhile, many of high-end medical monitors in China are still dependent on imports, 80% of the medium- and high-end monitor market was occupied by General Electric (GE), Philips and other foreign brands.

View Full Report With Complete TOC at http://www.researchmoz.us/china-medical-monitor-industry-report-2013-2015-report.html 

Medical monitor pertains to the high-tech, high value-added product, with high levels of industry profit. In 2008-2013 China’s major monitor enterprises e.g. Mindray, Biolight and EDAN Instruments kept gross margin around 50%.

With the improvement of living standards and aging of population in China, medical monitor will be extended from medical institution to home health care, and household multi-parameter monitor will become a new growth engine of consumption, which will consolidate the market position of multi-parameter monitor. Meanwhile, accompanied by the family planning policy adjustments, obstetric monitor embraces a positive outlook.

Browse PDF: China Medical Monitor Industry Report, 2013 – 2015

The Chinese medical monitor market size is expected to achieve RMB7.42 billion in 2015, of which, multi-parameter monitor market size and obstetric care market size will be RMB4.412 billion and RMB588 million, respectively.

Table of Content
 
1. Overview of Medical Monitor Industry
1.1 Definition
1.2 Classification
2. Status Quo of China Medical Monitor Industry
2.1 Medical Devices Market
2.2 Monitor Market
2.3 Monitor Import & Export
2.3.1 Import
2.3.2 Export
2.4 Monitor Competition
2.5 Profit Level
2.6 Entry Barriers
2.6.1 Market Access Barriers
2.6.2 Technical Barriers
2.6.3 Capital Barriers
2.6.4 Talent Barriers
2.7 Technical Levels and Trends
2.7.1 Modular Technology
2.7.2 Machine Technology
2.7.3 Informatization Technology
3. Environment for China Medical Monitor Development
3.1 Policy Environment
3.1.1 Industry Planning
3.1.2 Regulatory Policies
3.1.3 Import and Export Policies
3.2 Upstream and Downstream Industries
3.2.1 Upstream Sectors
3.2.2 Downstream Sectors
4. Key Companies
4.1 GE
4.1.1 Profile
4.1.2 Operation
4.1.3 Medical Monitor Business
4.2 Philips
4.2.1 Profile
4.2.2 Operation
4.2.3 Medical Monitor Business
4.3 Nihon Kohden
4.3.1 Profile
4.3.2 Operation
4.3.3 Revenue Structure
4.3.4 Gross Margin
4.3.5 R&D
4.3.6 Business in China
4.4 Fukuda
4.4.1 Profile
4.4.2 Operation
4.4.3 Revenue Structure
4.4.4 Monitor Business
4.4.5 Business in China
4.5 Mindray
4.5.1 Profile
4.5.2 Operation
4.5.3 Revenue Structure
4.5.4 Medical Monitor Business
4.6 Biolight
4.6.1 Profile
4.6.2 Operation
4.6.3 Revenue Structure
4.6.4 Gross Margin
4.6.5 R&D and Investment
4.6.6 Main Clients
4.7 EDAN Instruments, INC.
4.7.1 Profile
4.7.2 Operation
4.7.3 Revenue Structure
4.7.4 Gross Margin
4.7.5 R&D and Investment
4.7.6 Main Clients
4.8 Shenzhen Creative Industry Co., Ltd.
4.8.1 Profile
4.8.2 Operation
4.9 Beijing Choice Electronic Tech Co., Ltd (ChoiceMMed)
4.9.1 Profile
4.9.2 Operation
4.9.3 Development
4.10 Tianrong Medical & Communication Equipment Co., Ltd
4.10.1 Profile
4.10.2 Operation
4.10.3 Development
5. Summary and Forecast
5.1 Summary for Monitor Enterprises
5.1.1 Monitor Product Revenue
5.1.2 R&D
5.1.3 Gross Margin
5.2 Demand Forecasting
5.3 Overall Demand Forecasting
5.4 Breakdown Product Demand Analysis
5.4.1 Multi-parameter Monitor
5.4.2 Obstetric Monitor

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About ResearchMoz 

ResearchMoz is the one stop online destination to find and buy market research reports & Industry Analysis. We fulfill all your research needs spanning across industry verticals with our huge collection of market research reports. We provide our services to all sizes of organizations and across all industry verticals and markets. Our Research Coordinators have in-depth knowledge of reports as well as publishers and will assist you in making an informed decision by giving you unbiased and deep insights on which reports will satisfy your needs at the best price.

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Email: sales@researchmoz.us

Global Energy Harvesters Market is Expected to Reach USD 4.2 Billion in 2019: ResearchMoz.us

ResearchMoz include new market research report”Energy Harvesters: Market Shares, Strategies, and Forecasts, Worldwide, 2013 to 2019″ to its huge collection of research reports.

Energy Harvesters markets at $131.4 million in 2012 are projected to increase to $4.2 billion in 2019. Growth is anticipated to be based on demand for micro power generation that can be used to charge thin film batteries. Systems provide clean energy that is good for the environment. Growth is based on global demand for sensors and wireless sensor networks that permit control of systems.

View Full Report With Complete TOC at http://www.researchmoz.us/energy-harvesters-market-shares-strategies-and-forecasts-worldwide-2013-to-2019-report.html

Advanced storage devices are emerging simultaneously. Storage devices can leverage the power captured by energy harvesting devices. Energy storage technologies of super-capacitors and thin-film batteries have become cost-effective. Energy harvesting devices have attained workable levels of efficiency. There are significant cost reductions. Many applications are related to smarter computing that depends on sensors capturing change in conditions and making adjustments to the environment based on measured change.

Existing energy harvesting and storage applications include vibration-based wireless train measuring systems, wireless sensors distributed city wide to implement smart cities, oil field monitoring systems, windup laptops for use in remote regions, and wireless light switches for use in smart buildings. Wireless sensors are self-powering. They can be used to alert and monitor a range of environments and incidents, pollution and forest fires, robberies in a city, temperature in a building, and movement around a border fence.

Energy harvesting technologies include electrodynamics, photovoltaics, piezoelectrics, and thermovoltaics. Photovoltaic systems for solar energy are evolving at a slower pace. The energy harvesting and energy storage market factors implement light harvesting for small devices

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Technological developments in the fields of low-power electronics and energy storage systems have allowed energy harvesting to become an increasingly viable technology. It is alternatively referred to as energy scavenging and power harvesting. Energy harvesting technology has become sophisticated and efficient.

According to Susan Eustis, the lead author of the team that created the study, “Converting ambient energy to useable electrical energy harvesting (EH) systems is a useful and compelling technology. The technologies offer an inexpensive and compact way to power portable electrical devices initially and to create stores of power in the long term.”

Electronics tends to rely heavily on batteries. EH technology powers an increasing number of consumer and industrial products that are untethered or need to become disconnected from electrical outlets. As initial projects succeed and prove their worth, the technology is set to proliferate.

At some point energy harvester markets will shift from simple growth to rapid growth measured as a penetration analysis. This will happen as markets move beyond the early adopter stage. Eventually energy harvesters will be used as fuel to power batteries for electronic devices and smart phones. The energy is manufactured from vibration and thermal differentiation that is ambient in the environment. Energy harvesters have become more feasible as the technology evolves.

Check Out These Key Topics
Energy Harvesting
Wireless Nodes
Microcontroller
Energy Harvesting
Vibration-Based Wireless Energy
Piezoelectric Energy Harvesters
Thermoelectrics
Generating Power From Heat
Smart Computing
Power Community
Energy Harvestings
Smart Cities
Smart Buildings
Military Remote Energy Applications
Off-Grid Special Energy
Energy harvesters
Powering Pipeline Monitoring Stations
Navigational aids energy
Spacecraft energy
Thermoelectric cooling Automotive Energy
Lighting Community
Manganese dioxide
Nanoparticles
Nanotechnology Graphene
Self-assembly
Nanostructured Thin Films
Microgenerator Transforms Mechanical Energy
Vibration Electricity
Pressure Of A Finger
Piezoelectricity
Solid State Technology
Microgenerator
Power Source Of Sensor
Sensor node
Vibration Energy Harvesting
Photovoltaics
Piezoelectrics
Thermovoltaics
Energy Scavenging
Power Harvesting
Capture Of Ambient Energy
Algorithmic Control
Energy Harvesters
Sensors Based On Magnetic Materials
Energy Harvesting Economies of Scale
Internet of Things
IoT
Powering Current Sensors

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Virtualization: Impact on Enterprise Networks and Cloud Infrastructure

ResearchMoz include new market research report”Virtualization: Impact on Enterprise Networks and Cloud InfrastructureL: Market Size, Shares, Growth, Analysis and Forecast” to its huge collection of research reports.

Virtualization represents a game-changer in IT infrastructure planning, operations, and management as major components (servers, desktops, storage and even entire data centers) are virtualized. The recent trend is for virtualization of key network components (routers, switches, dedicated servers, etc.), which is referred to in the industry as Network Function Virtualization (NFV).

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NFV completely changes the way network architecture is viewed as fixed network elements, consisting of hardware components that are diverse in their make and configuration, is no more the design that is the norm. NFV allows an operator to optimize its infrastructure and increase service agility, representing a solution to problems that have plagued them for quite some time. NFV allows quicker time-to-market for new services because virtualized functions allow operators to introduce new services much faster and at much lower cost.

NFV represents a technical approach and solution set that helps enterprise companies optimize their operation in the face of rising hardware costs, manpower costs and stringent IT budgets. This report provides comprehensive analysis of NFV and its relationship and importance to enterprise IT management, network equipment, and communications.

This report includes a working model Total Cost of Ownership (TCO) to determine the business case for an organization to move to NFV. Unlike a static business case, a TCO model takes into consideration, feature/functionality deployment with respect to both time and geography dimensions.

Target Audience:

Cloud service providers
Enterprise companies of all types
Telecom and enterprise API providers
Communications infrastructure providers
Enterprise networking equipment providers

Table of Contents:

1. NETWORK FUNCTION VIRTUALIZATION 9
1.1 WHY NFV IS INEVITABLE AND IMPACTFUL 10
1.2 HOW NFV WORKS 12
1.3 OVERALL BENEFITS OF NFV 13
1.1.1 LEGACY HARDWARE OPTIMIZATION BENEFITS 13
1.1.2 REDUCED SPENDING ON HARDWARE PURCHASE 13
1.1.3 ENERGY CONSUMPTION OPTIMIZATION 14
1.1.4 NETWORK OPERATIONAL EFFICIENCY 14
1.1.5 CUSTOMER SATISFACTION AND USER EXPERIENCE BENEFITS 15
1.4 THE IMPACT ON THE OPERATOR AND SERVICE PROVIDER ENVIRONMENT 15
1.5 IMPLICATIONS FOR THE ENTERPRISE 16

2. NFV & THE ENTERPRISE 17
2.1 ENTERPRISE LANDSCAPE ANALYSIS 17
2.2 OVERALL BENEFITS FOR ENTERPRISES 18
2.2.1 AGILITY 18
2.2.2 OPTIMAL SERVICE CONSUMPTION 18
2.2.3. NETWORK SECURITY 19
2.2.4. BUSINESS CONTINUITY 19
2.2.5. TARGETED SERVICE CUSTOMIZABILITY 19
2.3 CASE STUDIES 20

3.3.1 CASE 1 – REVOLUTIONIZING ENTERPRISE CONTENT DELIVERY 20
3.3.2 CASE 2 – HIGH DEFINITION VIDEO DELIVERY 21
3.4 CHALLENGES FOR NFV ADOPTION IN ENTERPRISE 22
3.4.1 COMMON MANAGEMENT FRAMEWORK CHALLENGE: 22
3.4.2 THE ‘IT GUY’ CHALLENGE 22
3.4.3 DETERMINING THE BUSINESS CASE 23
3.4.4 PLANNING THE MIGRATION 23
3.4.5 OUTSOURCE VS. IN-HOUSE CHALLENGES 24
MARKET FORECASTING 25
FUTURE TRENDS IN NFV 26
3.5 A BRIEF OVERVIEW OF CLOUDNFV ARCHITECTURE 27
3.6 WHAT THIS MEAN FOR ENTERPRISE 29
3.7 SDN + NFV: A ROBUST AND LEAN NETWORK 29
VIRTUALIZATION TCO ANALYSIS 32
3.8 BENEFITS OF A TCO (OR LIFE CYCLE COST) ANALYSIS 32
3.9 COMPARING THE TRADITIONAL WAY AND THE TCO WAY 33
3.9.1 USING TCO MODEL TO EVALUATE NFV OPTION 33
3.9.2 THE TCO MODEL CASE 34
3.10 TCO ANALYSIS WORKING MODEL 35
NFV VENDOR LANDSCAPE 36
APPENDIX 40
SDN VS. NFV – Q&A 40

List of Figures

Figure 1: Individual Networking Hardware to Virtual Network Nodes 9
Figure 2: Server Virtualization vis-à-vis NFV 11
Figure 3: Network without Virtualization 12
Figure 4: Network with Virtualization 13
Figure 5: Reduction of Energy Consumption with NFV 14
Figure 6: Benefits of NFV for Operators and Service Providers 16
Figure 7: Traditional Network vs. NFV Powered Network Setup 17
Figure 8: Benefits of NFV to Enterprises 18
Figure 9: NFV solves the enterprise content delivery problem 20
Figure 10: NFV solves the HD Video Delivery Problem 21
Figure 11: NFV and Video on Demand 22
Figure 12: NFV Adoption by Enterprise 25
Figure 13: CloudNFV Challenges 26
Figure 14: NFV Orchestration Architecture 27
Figure 15: Architecture and Cloud Flow 28
Figure 16: SDN and NFV Relationship 29
Figure 17: Network without SDN and NFV (1) 30
Figure 18: Network with NFV and SDN (2) 31
Figure 19: Business Case vs. TCO Modeling 33
Figure 20: Snapshot of the Excel Model 34
Figure: 21Comparison of 5 year TCO for CMO and FMO 35
Figure 22: NFV Offering Attributes 36
Figure 23 6WINDGate & Blue Planet from CYAN Inc. 36
Figure 24: The F5 Family of Solutions – BIG IP Product Suite 37
Figure 25: Rating NFV Vendors – Comparative Matrix 38
Figure 26: NFV Vendor Measurement Quadrant 39

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ResearchMoz is the one stop online destination to find and buy market research reports & Industry Analysis. We fulfill all your research needs spanning across industry
verticals with our huge collection of market research reports. We provide our services to all sizes of organizations and across all industry verticals and markets. Our
Research Coordinators have in-depth knowledge of reports as well as publishers and will assist you in making an informed decision by giving you unbiased and deep
insights on which reports will satisfy your needs at the best price.

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Email: sales@researchmoz.us

China Automatic Teller Machine Industry Trends and Analysis Report, 2013 – 2016

ResearchMoz include new market research report”China Automatic Teller Machine Industry Report, 2013 – 2016: Market Shares, Size, Shares, Growth, Analysis and Forecast” to its huge collection of research reports.

In 2007-2012, the purchase volume of Cash Recycling System (CRS) in China rises from 12,000 sets to 61,000 sets at the CAGR of 38.4%, and its share in the ATM purchase volume climbed from 35.5% to 60.6%. Since China Guangfa Bank (CGB) launched the first set of VTM in July 2012, Bank of Communications, Bank of China, China Guangfa Bank, China Minsheng Banking Corp. Ltd., China Everbright Bank and other banks have rolled out VTM in the market in small scale.

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Third, Industrial and Commercial Bank of China, Agricultural Bank of China, Bank of China, China Construction Bank and Bank of Communications are still major ATM clients.

In 2012, state-owned commercial banks, joint-stock banks, Postal Savings Bank of China, urban commercial banks, agricultural commercial banks and other financial institutions bought 100,700 ATMs cumulatively, up 34.63% from a year earlier. State-owned commercial banks — Industrial and Commercial Bank of China, Agricultural Bank of China, Bank of China, China Construction Bank and Bank of Communications were still major ATM purchasers and introduced 64,500 of ATMs totally, equivalent to 64.05% of the total annual ATM purchase volume, close to 62.27% in 2011. By virtue of scale advantages, Industrial and Commercial Bank of China, Agricultural Bank of China, Bank of China, China Construction Bank and Bank of Communications still acted as the largest clients in the ATM market.

Fourth, China’s ATM CR5 market concentration degree declines.

In 2012, GRG, Hitachi, Yihua, Diebod and NCR ranked the top five in the Chinese market by ATM sales volume, with the total market share of 72.5%, lower than 78.1% in 2010.