The use of telephony API’s (telecom API) enables data dissemination to third parties over a defined interface, protocols, and procedures. Telecom networks inherently contain a lot of data for and about users, devices, usage, behaviors, status, and configuration.
Much of the data is unstructured or so called Big Data. Rather than dealing with a literal sea of data, API’s allow the consuming entity (business, application, etc.) to obtain only the most relevant data and hence realize it as meaningful information. Telephony APIs capitalize on existing network infrastructure and capabilities to create a vast array of business opportunities for carriers worldwide.
Telephony Application Programmer Interface (API): Ecosystem, Value-chain, Business Models and Market Opportunities evaluates the current market, challenges, opportunities, and future prospects for telephony API based applications and services. The report analyzes the ecosystem, value-chain and players. The report includes a SWOT analysis of major telephony API companies. It also includes an assessment of recent M&A activity along with identification of potential acquisition targets.
This report includes:
Telephony API business model analysis
Vision for the future of telephony API marketplace
Analysis of the role and importance of API aggregators
Evaluation of the telephony API marketplace, drivers, and future prospects
Analysis of industry M&A including potential acquiring companies and acquisition targets
SWOT analysis of major telephony API players including: 2600 Hz, Callfire, Plivo, Tropo, Twilio, Urban Airship, and Voxeo
Core telephony API types are Presence, Location, SDM, and SCM
It will become increasingly difficult to remain a pure-play API company
The API management/aggregation function s becoming critically import to the industry
The telephony API marketplace is undergoing consolidation and will continue through 2016
The best API companies are those that differentiate and/or provide a key role in the ecosystem
Users of telephony API data are enterprise and technology companies as well as the network operators
Mobile Device Vendors
Mobile Network Carriers
Service Bureau Companies
Wireless Infrastructure Vendors
Telecom Managed Service Providers
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.