WiFi Direct allows devices to communicate directly with each other using methods similar to traditional WiFi without the reliance upon a central access point. Instead, the devices use a “Software Access Point” (Soft AP). When two devices get within close range of each other the users can merely push a button which will allow the devices to communicate directly with one another and negotiate which device will act as the access point rather than using a central access point.
Wi-Fi Direct Solutions and Applications evaluates several WiFi Direct use cases for various application types. The most often envisioned application type, person-to-person, represents end-users sharing data/content such as transferring photographs from one user to the other. However, there are other key application types analyzed in this report.
In the person-to-device application type, the user will communicate with another WiFi Direct capable device for communications such as printing a file on their smartphone to the target device. In the reverse direction the device, a Blu-Ray player, will communicate with the user by ‘pushing’ the video to the user’s tablet device.
Our research also examines public (as opposed to privately controlled) use cases and application types. In a public application scenario, for example, the end-user will communicate with a public movie kiosk to download a movie to their smartphone. Conversely, the public device may ‘push’ data to smartphones in the vicinity.
WiFi service providers
Cellular network operators
WiFi infrastructure providers
Wireless application developers
Computing and wireless device companies
Companies in Report:
JVC KENWOOD HOLDINGS
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.