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市場調查報告書

智慧家庭的資料分析(技術堆疊,價值鏈,利用案例,經營模式):全球市場的分析與預測

Smart Home Data Analytics - Technology Stack, Value Chain, Use Cases and Business Models for Residential Analytics: Global Market Analysis and Forecasts

出版商 Navigant Research 商品編碼 521181
出版日期 內容資訊 英文 38 Pages; 18 Tables, Charts & Figures
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智慧家庭的資料分析(技術堆疊,價值鏈,利用案例,經營模式):全球市場的分析與預測 Smart Home Data Analytics - Technology Stack, Value Chain, Use Cases and Business Models for Residential Analytics: Global Market Analysis and Forecasts
出版日期: 2017年06月29日 內容資訊: 英文 38 Pages; 18 Tables, Charts & Figures
簡介

智慧家庭的資料分析市場,預計2017年擴大到13億美元,2026年達110億美元規模。

本報告提供智慧家庭的資料分析市場相關調查,市場的促進、阻礙因素,技術堆疊概要,價值鏈分析,利用案例的考察,經營模式、市場開拓策略的建議,市場未來展望,以及主要企業的簡介等彙整。

第1章 摘要整理

  • 簡介
  • 市場的推動要素
  • 市場阻礙因素
  • 市場預測

第2章 市場課題

  • 市場概要
  • 推動因素
  • 阻礙因素
  • 技術堆疊
    • 雲端型資料分析
    • 霧運算
  • 價值鏈
  • 利用案例
    • 客戶參與 & 能源管理
    • 設備管理
    • 設備的分離
  • 經營模式、市場開拓策略

第3章 主要加入企業

  • 簡介
  • Bidgely
  • Centrica Connected Home
  • Comverge
  • ecobee
  • EnergyHub
  • Onzo
  • Oracle
  • Powerley
  • Smappee
  • SmartBeings
  • Tendril
  • TROVE
  • Whisker Labs

第4章 市場預測

  • 市場概要
  • 估計手法
  • 市場預測
    • 自由分析
    • B2B軟體
    • B2B服務
  • 總論、建議

第5章 縮寫、簡稱一覽

第6章 目錄

第7章 圖表一覽

第8章 調查範圍,資料,調查手法

目錄
Product Code: MF-SHDA-17

Smart home data analytics solutions are still emerging and market participants are just beginning to realize the opportunity offered by volumes of data. Smart home device adoption is increasing, data streams are growing, and analytics are beginning to divulge information about what is going on in the home. Analytics solutions not only use data to provide insight into the home, but also create new possibilities for generating revenue and providing consumers with more value.

Currently, the market is focused on using analytics for customer engagement by providing consumers with better information through mobile apps and web portals. Companies are largely offering customer engagement solutions as free analytics bundled with hardware purchases, business-to-business (B2B) software, and business-to-consumer (B2C) services. However, analytics solutions have the potential to be used for much more advanced applications, including automation in the smart home. These types of use cases are expected to develop in the distant future, as the market has many barriers to overcome, such as increasing awareness about the value of analytics and data privacy and security. Yet, Navigant Research believes analytics will contribute to the evolution of the smart home and energy industry. According to Navigant Research, global smart home data analytics revenue is expected to increase from $1.3 billion in 2017 to $11.0 billion in 2026.

This Navigant Research report analyzes the global market for smart home data analytics solutions in the residential space, with a focus on three business models: free analytics, B2B software, and B2C services. The study provides an analysis of the market issues, including drivers, barriers, and use cases, associated with smart home data analytics. Global market forecasts, segmented by business model, device, and region, extend through 2026. The report also examines the technology stack, value chain, and business models related to smart home data analytics, as well as the competitive landscape.

Key Questions Addressed:

  • What is smart home data analytics?
  • What are the different types of data analytics offerings in the residential space?
  • What are the use cases for smart home data analytics?
  • What are the key drivers and barriers for the smart home data analytics market?
  • How quickly is the smart home data analytics market expected to grow over the next decade?
  • How will revenue growth vary by region and by technology?
  • Which companies are the key players in this market?

Who needs this report?

  • Utilities
  • Energy management platform providers
  • Customer engagement software providers
  • Smart home and home automation vendors
  • Security system vendors
  • Connected device manufacturers
  • Regulators
  • Investor community

Table of Contents

1. Executive Summary

  • 1.1 Introduction
  • 1.2 Market Drivers
  • 1.3 Market Barriers
  • 1.4 Market Forecasts

2. Market Issues

  • 2.1 Market Overview
  • 2.2 Market Drivers
    • 2.2.1 More Devices, More Data
    • 2.2.2 Opportunity in Data
  • 2.3 Market Barriers
    • 2.3.1 Data Privacy and Security
    • 2.3.2 Lack of Education
    • 2.3.3 Interoperability
  • 2.4 Technology Stack
    • 2.4.1 Cloud-Based Analytics and Integration
    • 2.4.2 Fog Computing
  • 2.5 Value Chain
  • 2.6 Use Cases
    • 2.6.1 Customer Engagement and Energy Management
    • 2.6.2 Equipment Maintenance
    • 2.6.3 Device Disaggregation
  • 2.7 Business Models and Go-to-Market Strategy
    • 2.7.1 Free Analytics
    • 2.7.2 B2B Software
    • 2.7.3 B2C or B2B2C Services

3. Key Industry Players

  • 3.1 Introduction
    • 3.1.1 Bidgely
    • 3.1.2 Centrica Connected Home
    • 3.1.3 Comverge
    • 3.1.4 ecobee
    • 3.1.5 EnergyHub
    • 3.1.6 Onzo
    • 3.1.7 Oracle
    • 3.1.8 Powerley
    • 3.1.9 Smappee
    • 3.1.10 SmartBeings
    • 3.1.11 Tendril
    • 3.1.12 TROVE
    • 3.1.13 Whisker Labs

4. Market Forecasts

  • 4.1 Overview
  • 4.2 Forecast Methodology
  • 4.3 Market Forecasts
    • 4.3.1 Free Analytics
    • 4.3.2 B2B Software
    • 4.3.3 B2C Services
  • 4.4 Conclusions and Recommendations

5. Acronym and Abbreviation List

6. Table of Contents

7. Table of Charts and Figures

8. Scope of Study, Sources and Methodology, Notes

List of Charts and Figures

  • Residential Analytics Technology Stack
  • Connected Devices Producing Data in the Smart Home
  • Analytics Value Chain and Participating Companies
  • Spectrum of Emerging Applications for Data Analytics
  • British Gas Boiler IQ Service Packages
  • Smappee Device Disaggregation Energy Monitor
  • Smart Home Data Analytics Revenue by Region, World Markets: 2017-2026
  • Smart Home Data Analytics Revenue by Business Model, World Markets: 2017-2026
  • Free Analytics Revenue by Region, World Markets: 2017-2026
  • B2B Software Revenue by Region, World Markets: 2017-2026
  • B2C Services Revenue by Region, World Markets: 2017-2026
  • Free Analytics Revenue by Device, World Markets: 2017-2026

List of Tables

  • Smart Home Data Analytics Revenue by Region, World Markets: 2017-2026
  • Smart Home Data Analytics Revenue by Business Model, World Markets: 2017-2026
  • Free Analytics Revenue by Region, World Markets: 2017-2026
  • B2B Software Revenue by Region, World Markets: 2017-2026
  • B2C Services Revenue by Region, World Markets: 2017-2026
  • Free Analytics Revenue by Device, World Markets: 2017-2026
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