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Low Cost Pervasive Computing: Market Opportunities in Embedded Computing and The Internet of Things

Whereas business for traditional computing (PC, laptop, mainframe, etc.) is currently struggling, and new personal computing (tablet computing such as iPad) is growing at a reasonable pace, we believe that the next large growth opportunity for computing lies with low cost, pervasive computing. More specifically, our research indicates that embedded systems, The Internet of Things, and next generation devices will be the driver for the next leg of substantial growth in the computing industry. Embedded systems represents a huge wave of innovation in the Information and Communications Technology (ICT), but it impacts much more than ICT as transformative solutions rely upon the evolution of broadband wireless, telemetry, the “Internet of Things”, and more.

Several forces are coming together including decreasing production costs and size of the transistors, decreased costs for data communications, identifying everything by IP address, machine-to-machine (M2M) communications, and other factors. This research evaluates developments in low cost computers including an analysis of technology evolution, solutions, and positioning of key companies in the industry. The report includes an evolution of computing, analysis of leading companies and solutions, analysis and forecast of computing in key industry verticals, and evaluation of opportunities for embedded computing with forecasts. The report also includes information about key technologies and solutions driving the marketing for low cost computing including Machine-to-Machine (M2M) communications, presence detection, location determination, IPv6, and more.

Target Audience:

  • Network operators of all types
  • Wireless device manufacturers
  • Telephony infrastructure providers
  • Enterprise companies in every industry
  • Computer and semiconductor companies
  • Regulatory policy and planning organizations
  • Data capture, processing, and reporting companies
  • Anyone focused on Big Data, M2M, and the Internet of Things


General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.


1.0 EXECUTIVE SUMMARY
1.1 KEY BENEFITS
1.2 KEY FINDINGS
1.3 QUESTIONS ANSWERED BY REPORT
1.4 TARGET AUDIENCE
2.0 INTRODUCTION
2.1 BACKGROUND
2.2 RECENT DEVELOPMENTS
2.3 FACTORS
2.3.1 CPU
2.3.2 DATA STORAGE
2.3.3 SOFTWARE
2.3.4 ESSENTIAL SOFTWARE
2.3.5 RAM
2.3.6 POWER REQUIREMENT
2.3.7 DISPLAY
3.0 DEFINITION OF LOW COST COMPUTERS
3.1 BASIC FUNCTIONALITY & DEFINITION OF LOW COST COMPUTERS
3.2 USAGES
3.3 TYPES
3.4 ADVANTAGES/DISADVANTAGES
4.0 EMBEDDED COMPUTER SYSTEMS
4.1 THE LOW COST ALTERNATIVE
4.2 CHARACTERISTICS OF EMBEDDED SYSTEMS
4.3 COMMON USAGES OF EMBEDDED COMPUTERS
4.3.1 SOFTWARE BASED SYSTEMS VS. EMBEDDED COMPUTER SYSTEMS
5.0 COMPANY ANALYSIS
5.1 SMART PROJECTS
5.2 RASPBERRY PI FOUNDATION
5.3 INTEL
5.4 VIA
5.5 TEXAS INSTRUMENTS
5.6 MICROCHIP TECHNOLOGY
6.0 A DETAILED ANALYSIS ON THE AVAILABLE SYSTEMS
6.1 ANALYSIS ON AVAILABLE SYSTEMS
6.2 ARDUINO
6.2.1 DIFFERENT FLAVORS
ARDUINO UNO
6.2.2 ARDUINO DUEMILANOVE
6.2.3 ARDUINO MEGA
6.2.4 ARDUINO NANO
6.2.5 ARDUINO BT
6.2.6 ARDUINO MINI
6.3 RASPBERRY PI
6.4 BEAGLE BOARD/BONE
6.5 PIC
6.6 VIA – APC
6.7 POPULAR SINGLE BOARD COMPUTERS
6.8 OVERVIEW MATRIX
7.0 GROWTH ANALYSIS AND FORECAST TILL 2016
LEARNING
HEALTH
ECONOMY
SCIENCE & TECHNOLOGY
GOVERNMENT
7.1 SOFTWARE
7.2 HARDWARE
7.3 PREDICTIONS AND FORECAST
7.3.1 EDUCATION SECTOR
7.3.2 GAMING
7.3.3 BIOMETRICS
8.0 TREND ANALYSIS AND GROWTH OF EMBEDDED COMPUTERS
8.1 THE GROWTH OF EMBEDDED SYSTEMS & FORECASTS
8.2 IMPACT OF EMBEDDED SYSTEMS TOWARDS DATA TRAFFIC AND FORECAST TILL 2016
8.3 IMPACT OF EMBEDDED COMPUTERS ON WIRELESS DATA
8.4 IMPACT OF EMBEDDED COMPUTERS ON STORAGE AND FORECAST
8.5 CONCLUSION ON KNOWN ISSUES
9.0 FUTURE TRENDS & BUSINESS OPPORTUNITIES
9.1 INTEL
9.2 VIA
9.3 BUSINESS OPPORTUNITIES
10.0 INNOVATIVE APPLICATIONS
10.1 COST EFFECTIVE OPTION FOR EDUCATION
10.2 STORAGE SERVERS
10.3 REPLACEMENT DUMB TERMINALS/THIN CLIENTS
10.4 HIGHLY INTERACTIVE VENDING MACHINES
10.5 AMR SOLUTIONS
11.0 CONCLUSIONS AND RECOMMENDATIONS
12.0 APPENDICES
12.1 THE INTERNET OF THINGS
12.2 ROLE AND IMPORTANCE OF IPV6
12.3 MACHINE-TO-MACHINE (M2M) COMMUNICATIONS
12.4 PRESENCE DETECTION AND PRESENCE-BASED APPLICATIONS
12.5 LOCATION DETERMINATION AND LOCATION-BASED APPLICATIONS
12.6 REAL-TIME LOCATION SERVICES (RTLS)

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