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.
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
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.
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.