M2M Solutions: Global Market Analysis and Forecasts 2012 - 2017

Machine-to-Machine (M2M) communication is a revolutionary technology that allows effective supervision and maintenance of physical assets. In recent years, M2M has become much more complex and “smart” due to major advances in semiconductor and software with the potential to be embedded in virtually any asset or object requiring monitoring and control throughout the enterprise.

The expansion of M2M beyond its roots in utilities and manufacturing industries into many different enterprise operations has opened a host of new opportunities across the entire ecosystem. Furthermore, various enterprise companies in new industries are making plans to leverage M2M in processes that represent a major shift beyond previous implementations.

This research analyzes the global M2M marketplace including growth drivers, market leaders, solutions, challenges, and forecast.

Target Audience:

• M2M services companies
• Mobile network operators
• M2M application developers
• M2M infrastructure providers
• Enterprise companies of all types

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.