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スマートホームデータアナリティクス - 世界市場の分析と予測

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

出版日: | 発行: Guidehouse Insights (formerly Navigant Research) | ページ情報: 英文 25 Pages; 22 Tables, Charts & Figures | 納期: 即納可能 即納可能とは

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スマートホームデータアナリティクス - 世界市場の分析と予測
出版日: 2020年06月09日
発行: Guidehouse Insights (formerly Navigant Research)
ページ情報: 英文 25 Pages; 22 Tables, Charts & Figures
納期: 即納可能 即納可能とは
  • 全表示
  • 概要
  • 図表
  • 目次
概要

当レポートでは、スマートホームデータアナリティクス市場について調査分析し、主要地域、ビジネスモデル、技術タイプ、10年間の予測に焦点を当てて、体系的な情報を提供しています。

目次

第1章 エグゼクティブサマリー

第2章 データの前提条件

第3章 市場予測

  • 調査手法
  • スマートホームデータアナリティクス支出
    • データアナリティクス:ビジネスモデル別
    • バンドルアナリティクス:地域別
    • バンドルアナリティクス:デバイス別
    • B2Bカスタマーエンゲージメント・デジタルセルフサービスアナリティクス
    • デバイス対応ソフトウェアアナリティクス:地域別
    • デバイス対応ソフトウェアアナリティクス:アプリケーション別
    • B2B2Cサービス:地域別
    • B2B2Cサービス:デバイス別
  • 結論と提言

第4章 頭字語と略語リスト

第5章 目次

第6章 図表

第7章 調査範囲、情報源、 調査手法、注記

図表

LIST OF CHARTS AND FIGURES

  • Smart Home Data Analytics Revenue by Region, World Markets: 2020-2029
  • Smart Home Data Analytics Revenue by Business Model, World Markets: 2020-2029
  • Bundled Analytics Revenue by Region, World Markets: 2020-2029
  • Bundled Analytics Revenue by Device, World Markets: 2020-2029
  • B2B Software Revenue by Region, World Markets: 2020-2029
  • Device-Tied Software Analytics Revenue by Region, World Markets: 2020-2029
  • Device-Tied Software Analytics Revenue by Application, World Markets: 2020-2029
  • B2B2C Services Revenue by Region, World Markets: 2020-2029
  • B2B2C Services Revenue by Device, World Markets: 2020-2029

LIST OF TABLES

  • Smart Home Data Analytics Revenue by Region, World Markets: 2020-2029
  • Smart Home Data Analytics Revenue by Business Model, World Markets: 2020-2029
  • Bundled Analytics Revenue by Region, World Markets: 2020-2029
  • Bundled Analytics Revenue by Device, World Markets: 2020-2029
  • B2B Software Revenue by Region, World Markets: 2020-2029
  • Device-Tied Software Analytics Revenue by Region, World Markets: 2020-2029
  • Device-Tied Software Analytics Revenue by Application, World Markets: 2020-2029
  • Residential DR Analytics Revenue By Region, World Markets: 2020-2029
  • Residential DER Analytics Revenue by Region, World Markets: 2020-2029
  • Residential DR (Advanced Thermostats) Analytics Revenue by Region, World Markets: 2020-2029
  • B2B2C Services Revenue by Region, World Markets: 2020-2029
  • B2B2C Services Revenue by Device, World Markets: 2020-2029
  • B2B Demand Side Management Applications by Region, World Markets: 2020-2029
目次
Product Code: MD-SHDA-20

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.

KEY QUESTIONS ADDRESSED:

  • What are 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?

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 Forecast

2. Data Assumptions

  • 2.1. Policy, Technology, and Market Trends
  • 2.1.1. Building Codes
  • 2.1.2. Privacy
  • 2.2. Forecast Components

3. Market Forecasts

  • 3.1. Forecast Methodology
    • 3.1.1. Bundled Analytics
    • 3.1.2. Business to Business and Digital Self-Service Analytics
      • 3.1.2.1. Other Device-Tied Software Analytics
    • 3.1.3. B2B2C Services
  • 3.2. Smart Home Data Analytics Spending
    • 3.2.1. Data Analytics by Business Model
    • 3.2.2. Bundled Analytics by Region
    • 3.2.3. Bundled Analytics by Device
    • 3.2.4. B2B Customer Engagement and Digital Self-Service Analytics
    • 3.2.5. Device-Tied Software Analytics by Region
    • 3.2.6. Device-Tied Software Analytics by Application
    • 3.2.7. B2B2C Services by Region
    • 3.2.8. B2B2C Services by Device
  • 3.3. Conclusions and Recommendations

4. Acronym and Abbreviation List

5. Table of Contents

6. Table of Charts and Figures

7. Scope of Study, Sources and Methodology, Notes

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