Clunky voice control has existed for ages, but spoken interaction with devices using natural language has recently seen a big boost in reliability, user adoption, and widespread availability to developers to include in new apps and devices. Apple’s Siri, Google Now, Microsoft Cortana, Amazon Echo and others have sparked an interest in bringing voice to a lot more apps and Internet of Things devices. In addition there is a need to control 3rd party apps and IoT devices from these virtual assistants. Platforms are emerging that allow developers to address these two use cases.
Historically, adding voice capabilities to apps and devices started from speech-to-text engines. Modern voice platforms focus on the natural language processing (NLP) technology that transforms plain text into structured, machine-readable, consistent intents.
In this report, we profile the top platforms covering the following use cases:
Adding new services (incl IoT device control) to existing virtual assistants like Cortana or Alexa
Adding speech recognition capabilities to (a) apps or (b) IoT devices, allowing speech control within the app or device directly.
Embedding existing virtual assistants like Alexa inside IoT devices, bringing the full capabilities (not device specific) of the assistant to the device
1.Executive Summary Presentation: An executive management presentation with gap analysis and recommendations of which gaps we suggest you fill, and which developers to target.
2.Voice Platforms Landscape Report: A market analysis & vendor profiling presentation including usage & awareness, what developers are looking for and key metrics per product, such as developer satisfaction scores per attribute and net promoter scores.
3.Voice Platforms Developer Profiling Report: Developer profiling analysis of who is / isn’t aware, who uses / doesn’t use, who likes / dislikes and who does vs. doesn’t recommend each voice platform solution.
4.Data dashboard: An interactive visual representation of the landscape and profiling data allowing you to drill down by region, company size, professionals vs. amateurs and much more.
Our Developer Satisfaction Tracker research is based on the 11th edition (Q2 2016) of Developer Economics, VisionMobile’s global online developer survey which reached more than 16,500 developers across 140 countries,in the first half of 2016. More than 8,500 and 2,600 of those developers were asked questions about mobile and IoT technologies, respectively. The data was weighted to minimise sampling bias, providing an unmatched dataset for analysis. Mobile and IoT developers were asked if they are using voice platform technology, and if so what they value and what they lack from the solutions they use. Based on this data we produced benchmarking and profiling analysis for all key Voice Platforms, along with profiling of their users vs. non-users.