Machine-to-Machine (M2M) Business Case: Solutions, Business Models, and ROI by Industry Vertical
The Machine-to-Machine (M2M) market is seen as the future for wireless revenue growth with various reports touting market size to reach 50 billion connections by 2020. However, the current market is still under 100 million connections.
Since M2M is not the only service for telecom carriers, rather it is not their core service; strategies adopted for M2M cannot be studied on stand-alone basis. The strategies have to be evaluated in context with other strategic initiatives taken by the companies. Hence, over-all strategies have also been discussed in this write-up.
This research provides analysis of the business case for M2M from the industry vertical or market segment perspective including specific cases within Healthcare, Vending, Petroleum (Oil & Gas and Propane), and Fleet Management. The report includes business model analysis, technical solution evaluation, and ROI assessment.
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.
The information in this report is very valuable to industries/segments address as they assess the M2M business case as well as the M2M service providers as they seek to optimize their respective M2M offerings.
Mobile network operators
Systems integration companies
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.