White Paper Details
|Tables, Charts, Figures:||3|
|Release Date:||2Q 2018|
In terms of an Internet of Things (IoT) market, the smart home has been more of a hope than a reality over the past few years. Futurists envisioned that consumers would save time and money at home thanks to a proliferation of smart, connected devices, but platform fragmentation and user interface (UI) issues slowed user adoption. First-generation interfaces were limited. Smartphones, tablets, and other touch interfaces largely failed because they provided limited convenience for users at home. Smart home consumers grew frustrated as control actions required users to take multiple steps, such as unlocking their device and opening a dedicated app, to accomplish anything.
Then came Alexa. Amazon and its artificial intelligence (AI)-powered Alexa devices have shown how the voice interface is ideal for the smart home and how virtual digital assistants (VDAs) are an ideal universal controller for smart devices within the smart home. VDAs are actively listening, so a user can tell the smart home what to do even from across a room. All of this means that the smart home is finally on the verge of becoming a reality for the mass market.
But is voice the UI that will reign over all? Tractica believes that while voice will be an important UI within the smart home, other AI-fueled UIs, such as gesture and biometrics, will play important roles in the smart home. This amalgamation of UIs also could mean there will be multiple players within any given home, and a reduced chance of there being a dominant smart home UI platform provider.
This Tractica white paper explores the market issues around AI-fueled smart home interfaces. AI-fueled UIs include voice, gesture, and biometric interfaces. Touch/text interfaces, which can incorporate AI in other use cases, are not considered an AI-driven UI for the smart home. These trends draw from ongoing research and analysis that form part of Tractica’s User Interface Technologies and Artificial Intelligence advisory services. The white paper is published in partnership with Internet of Things World, which is being held May 14-17, 2018 in Santa Clara, California.
Key Questions Addressed:
- What are the key trends in the evolution of user interfaces for smart home devices?
- How many smart home devices will utilize UIs from Amazon, Apple, Google, Samsung, Comcast, Baidu, and other AI platforms by 2022?
- What is the role in the smart home environment of key AI technologies like natural language processing, computer vision, machine learning, and deep learning?
- What are the key smart home use cases for UI modalities such as voice, gesture, biometrics, and emotion analysis?
- How is the smart home market ecosystem exploring use cases like security, climate control and lighting, entertainment, sleep, and kitchen?
Who Needs This Report?
- User interface technology companies
- Artificial intelligence companies
- Software and application developers
- Semiconductor and component vendors
- Service providers and systems integrators
- Industry organizations
- Investor community
Table of Contents
- Market Review
- Market Forecasts
- The Role of AI
- Natural Language Processing
- Computer Vision
- Real-Time Video Analytics
- Machine Learning
- Deep Learning
- Market Ecosystem
- User Interface: Voice
- User Interface: Gesture
- User Interface: Biometrics
- Next-Generation User Interface: Emotion Analysis
- Smart Home AI-Driven User Interface Market Barriers
- Minimal Impact on Remote Control
- Smart Home Use Cases
- Climate Control and Lighting
- No Dominant Platform
- Smart Home 2022: A Mixture of UIs
- To Spur Smart Home Growth, Reduce UI Fragmentation
- Voice Recognition Will Be Key to Market Adoption, Differentiation
- Best Practices: Focused Use Cases
- Acronym and Abbreviation List
- Table of Contents
- Table of Charts and Figures
- Sources and Methodology, Notes
- Additional Reading
- Internet of Things World
List of Charts and Figures
- Installed Base of Smart Home Devices with AI User Interface by Platform, World Markets: 2017-2022
- Piccolo Gesture Control
- Tractica Research Methodology