Market Research Report
Market Data - Smart Home Data Analytics - Technology Stack, Value Chain, Use Cases, and Business Models for Residential Analytics: Global Market Analysis and Forecasts
|Published by||Guidehouse Insights (formerly Navigant Research)||Product code||940957|
|Published||Content info||25 Pages; 22 Tables, Charts & Figures
Delivery time: 1-2 business days
|Market Data - Smart Home Data Analytics - Technology Stack, Value Chain, Use Cases, and Business Models for Residential Analytics: Global Market Analysis and Forecasts|
|Published: June 9, 2020||Content info: 25 Pages; 22 Tables, Charts & Figures||
The market for smart home data analytics is developing into the most important corollary market to smart home devices. New analytics capabilities are driving the adoption of smart meters, thermostats, fire detection devices, security devices, plugs, lighting, and other devices while delivering added value to homeowners and utilities. Most significantly, increasing device-level (edge) data processing is expanding the range of valuable analytics capabilities while lessening the demands on offsite servers (the cloud).
Currently, the market is focused on expanding customer engagement with better information through mobile apps and web portals, which can provide added value when integrated into utility residential demand side management and demand response (DR) programs. Companies are offering customer engagement solutions as analytics bundled with hardware purchases, business to business (B2B) software, and business to consumer (B2C) services. Vendors are also adopting the business to business to consumer (B2B2C) channel, where their products are rebranded by utilities or other intermediaries before reaching consumers.
This Guidehouse Insights report examines the smart home market in five major regions, four major business models, and seven technology types, presenting a 10-year forecast and market sizing for 2020 2029. The regions include North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. The business models include bundled analytics; B2B customer engagement and digital self-service; other device-tied software analytics; and B2B2C services.