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Telephony Application Programmer Interface (API): Ecosystem, Value-chain, Business Models and Market Opportunities

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
Key Findings:
  • 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
Target Audience:
  • API Aggregators
  • Investment Firms
  • Application Developers
  • Mobile Device Vendors
  • Mobile Network Carriers
  • Service Bureau Companies
  • Wireless Infrastructure Vendors
  • Telecom Managed Service Providers


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.


1.0 Executive Summary
2.0 Introduction
2.1 What Is An Api?
2.2 What Are Telephony Api’s?
2.3 Telephony Api Types
2.3.1 Messaging Api’s
2.3.2 Location
2.3.3 Payments
2.3.4 Voice/Speech
2.3.5 Subscriber Data Management And Identity
3.0 Market For Telephony Api’s
3.1 Drivers For Telephony Api’s
3.2 Api Application Use Cases/Applications
3.2.1 Personal Information Management And Communications
3.2.2 Retail Shopping
3.2.3 Cloud Storage/Access
3.2.4 Friend Finder
3.2.5 Internet Of Things
3.3 Addressable Market
3.4 Current Market
4.0 Telephony Api Business Models
4.1 Model One
4.2 Model Two
4.3 Model Three
5.0 The Telephony Api Ecosystem And Value Chain
5.1 Api Management And The Role Of Aggregators
5.1.1 The Role Of Aggregators
5.1.2 Case Example: Location
5.1.3 Case Example: Identity
5.2 Api Aggregator Companies To Manage Core Apis
5.2.1 Presence Detection Data
5.2.2 Location Determination Data
5.2.3 Service Configuration Management (Scm)
5.2.4 Subscriber Data Management (Sdm)
6.0 Leading Api Companies
6.1 2600 Hz
6.1.1 Strengths
6.1.2 Weaknesses
6.1.3 Opportunities
6.1.4 Threats
6.2 Callfire
6.2.1 Strengths
6.2.2 Weaknesses
6.2.3 Opportunities
6.2.4 Threats
6.3 Plivo
6.3.1 Strengths
6.3.2 Weaknesses
6.3.3 Opportunities
6.3.4 Threats
6.4 Tropo
6.4.1 Strengths
6.4.2 Weaknesses
6.4.3 Opportunities
6.4.4 Threats
6.5 Twilio
6.5.1 Strengths
6.5.2 Weaknesses
6.5.3 Opportunities
6.5.4 Threats
6.6 Urban Airship
6.6.1 Strengths
6.6.2 Weaknesses
6.6.3 Opportunities
6.6.4 Threats
6.7 Voxeo
6.7.1 Strengths
6.7.2 Weaknesses
6.7.3 Opportunities
6.7.4 Threats
7.0 Api Management
7.1 Layer 7
7.2 Mashery
8.0 Api Company Comparative Analysis
9.0 Api Company Acquisitions
10.0 Potential Acquiring Companies
10.1 Carrier Infrastructure Providers
10.1.1 Alcatel-lucent
10.1.2 Ericsson
10.1.3 Nokia Siemens Networks
10.2 Portals
10.2.1 Yahoo!
10.3 Service Bureau Companies
10.3.1 Ibm
10.3.2 Neustar
10.3.3 Syniverse
10.3.4 Transaction Network Services (Tns)
10.4 Technology Companies
10.4.1 Ca Technologies
10.4.2 Intel
11.0 Potential Acquisitions
11.1 Apigee
11.1.1 About Apigee
11.1.2 Why Apigee
11.1.3 Who Would Acquire Them?
11.2 Urban Airship
11.2.1 About Urban Airship
11.2.2 Why Urban Airship
11.2.3 Who Would Acquire Them?
11.3 Voxeo
11.3.1 About Voxeo
11.3.2 Why Voxeo
11.3.3 Who Would Acquire Them?
11.4 Non Pure-play Api Management Companies
12.0 Future Of Telephony Api’s
12.1 Carriers And The Future Of Telephony Api’s
12.1.1 Carriers, Api’s And Ott
12.2 Telephony Api Ecosystem To Benefit Enterprise
12.3 Consolidation In The Api Industry

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