M2M Fraud and Revenue Leakage Market and Forecast 2013 - 2018
The forecast for Machine-to-Machine (M2M) is set to nearly triple through 2018. One of the great allures of M2M is the many and varied use cases including everything from smart meters, interactive kiosks, surveillance cameras, and more. The business drivers include everything from proactive maintenance, production assurance, theft reduction, productivity improvement, etc.
It important to note that the steep growth curve is yet to begin, as M2M is expected to take off significantly with the so-called Internet of Things (IoT). 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. By way of example, industry giant Cisco is aggressively forecasting about 50 billion devices will be connected by 2020, after coming out with an earlier analysis in January that claimed 8.7 billion connected devices in 2012.
With this dramatic growth expectation, there is a critical need to focus on potential lost revenue and fraud that may occur within various portions of the M2M ecosystem. This research assesses risk management issues in M2M, key companies, solutions, and market positioning. The report provides a market driver analysis along with anticipated revenues through 2020.
- Mobile network operators
- Managed services providers
- Systems integration companies
- Application developers and ASP
- Network integration companies
- Network infrastructure providers
- Enterprise companies of all types
- Investment and M&A companies of all types
- M2M equipment and service providers of all types
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.