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デジタル音声アシスタント:プラットフォーム・収益・市場機会 (2019-2023年)

Digital Voice Assistants: Platforms, Revenues & Opportunities 2019-2023

発行 Juniper Research 商品コード 369028
出版日 ページ情報 英文
納期: 即日から翌営業日
価格
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デジタル音声アシスタント:プラットフォーム・収益・市場機会 (2019-2023年) Digital Voice Assistants: Platforms, Revenues & Opportunities 2019-2023
出版日: 2019年02月12日 ページ情報: 英文
概要

AIの進歩により、デジタル音声アシスタントがCE製品の使用に不可欠な要素になりつつあります。

当レポートでは、デジタル音声アシスタントの市場を調査し、市場および技術の概要、バリューチェーンとビジネスモデル、市場成長への各種影響因子の分析、競合環境と主要企業の位置付け、インストールベースおよび各種収益の推移と予測、地域・製品区分・利用区分別の内訳などをまとめています。

提供内容

  • 市場動向・市場機会 (PDF)
  • 5カ年市場予測 (Excel)

目次

第1章 音声アシスタント:新しいプラットフォーム

  • イントロダクション
  • 定義
  • 調査範囲
  • デジタル音声アシスタントのエコシステム
  • 市場力学
  • バリューチェーン&ビジネスモデル

第2章 音声アシスタント:競合環境

  • 市場サマリー
    • 消費者向け音声アシスタント
      • Amazon
      • Google
      • Apple
      • Samsung
      • Microsoft
    • 企業向け音声アシスタント
      • Microsoft
      • Amazon
      • Salesforce
      • IBM
      • SAP
      • Hound
  • 企業環境・分析
    • 企業分析基準:消費者向け
    • 企業分析基準:企業向け
  • ステークホルダーの分析:能力の分析・市場における位置付け
    • リーダーボード分析:消費者向け
    • リーダーボード分析:企業向け

第3章 デジタル音声アシスタント:市場規模・予測

  • イントロダクション
  • 予測手法
  • サマリー
    • インストールベース
    • 収益予測
    • トランザクション
  • 利用予測
    • モバイルOEMベース
    • PC OSベース
    • モバイルアプリベース
    • コネクテッドTVべース
  • インストールベース予測
    • 自動車デジタルアシスタント
    • スマートスピーカーデジタルアシスタント
    • ウェアラブルベースのデジタルアシスタント
  • トランザクション予測
    • コネクテッドTV音声アシスタント
    • スマートスピーカー音声アシスタント
  • 収益予測
    • アプリ収益
    • スマートスピーカーハードウェア収益
目次

Overview:

The advance of artificial intelligence capabilities means that ‘Digital Voice Assistants’ are becoming an integral part of consumer device usage.

Our cutting-edge research on ‘Digital Voice Assistants’ provides a clear guide to these emerging technologies, use cases, trends and business models. It provides a comprehensive analysis of this emerging market across a range of different verticals:

  • OEM Mobile Voice Assistants
  • Mobile Voice Assistant Apps
  • PC OS-based Voice Assistants
  • Automotive Voice Assistants
  • Smart Home Voice Audio Assistants
  • Smart TV-based Voice Assistants
  • Wearable Voice Assistants

This research includes:

  • Market Trends & Opportunities (PDF)
  • 5-Year Market Sizing & Forecast Spreadsheet (Excel)

Key Features:

  • Market Landscape: In-depth assessment of, and insights into, the wider voice assistant market, examining:
    • Core capabilities and strategic directives of core voice assistant players
    • Trends, drivers and constraints affecting the whole market
    • Strategic case studies
  • Business Models: Discussion of the effectiveness of, and potential for, a range of business models for players in the Digital Voice Assistant value chain, from enterprise use to advertising.
  • Benchmark Industry Forecasts: Size, growth and revenues from the following Voice Assistant sectors:
    • OEM Mobile Voice Assistants
    • Mobile Voice Assistant Apps
    • PC OS-based Voice Assistants
    • Automotive Voice Assistants
    • Smart Home Voice Audio Assistants
    • Smart TV-based Voice Assistants
    • Wearable Voice Assistants
  • Juniper Leaderboards: The following consumer and enterprise voice assistant players compared:
    • Alibaba
    • Amazon
    • Apple
    • Artificial Solutions
    • Baidu (Xiaoyu Zaijia, Raven H)
    • Dialogflow
    • Google
    • IBM
    • IFLYTEK
    • Microsoft
    • Nuance
    • Robin Labs
    • Samsung
    • Sherpa
    • SoundHound

Key Questions:

  • 1. Where will digital voice assistants have their biggest success?
  • 2. What are the key capabilities and future strategies of the market leaders?
  • 3. What factors will drive up adoption of Voice Assistants, and where will the early successes be?
  • 4. Where can these technologies be monetised to ensure their longevity?
  • 5. What are the new business models that will emerge from this new technology?

Companies Referenced:

  • Case Studied: Google
  • Included in Juniper Leaderboard: Alibaba, Amazon, Apple, Artificial Solutions, Baidu, Dialogflow, Google, IBM, iFLYTEK, Microsoft, Nuance, Robin Labs, Samsung, Sherpa, SoundHound, Tencent.
  • Mentioned: Accenture, Audioburst, BMW, Code Computerlove, Dialogflow, Disney, Facebook, Great Wall Motor Company, Harman/Kardon, Haven OnDemand, Huawei, IFTTTT, Jabra, JBL, JD.com, LG, LingLong, Mercedes-Benz, Netflix, Onkyo, Orbita, Papa John, Peerless Insights, Pew Research Centre, Qihoo360, Salesforce, SAP, Scout FM, SmartThings, Sonos, Spiceworks, Spotify, Uber, Vi Technologies, Voicebot.ai, WeChat, Whirlpool.

Data & Interactive Forecast:

The new ‘Digital Voice Assistant’ forecast suite includes:

  • Market data splits for 8 key regions and 10 countries including:
    • Brazil
    • Canada
    • China
    • France
    • Germany
    • Japan
    • Mexico
    • South Korea
    • UK
    • US
  • Market data splits for 7 key verticals:
    • OEM Mobile Voice Assistants
    • Mobile Voice Assistant Apps
    • PC OS-based Voice Assistants
    • Automotive Voice Assistants
    • Smart Home Voice Audio Assistants
    • Smart TV-based Voice Assistants
    • Wearable Voice Assistants
  • Access to the full set of forecast data of 68 tables and over 6,500 data points
  • All verticals include:
    • Adoption rates
    • Assistant installed base
    • Numbers in use
    • Advertising impressions, ad-spend and app revenues are also provided where appropriate

Juniper Research's highly granular interactive Excels enable clients to manipulate Juniper's forecast data and charts to test their own assumptions using the Interactive Scenario Tool and compare select markets side by side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

1. Voice Assistants: The New Platform

  • 1.1. Introduction
  • 1.2. Definitions
  • 1.3. Research Scope
  • 1.4. Voice Assistant Ecosystem
    • 1.4.1. Devices
      • Figure 1.1: Voice Assistant Usage by Platform
      • i. Multimodal Voice Assistants
      • ii. Multi-Assistant Devices
    • 1.4.2. Assistant Capabilities
      • i. Consumer Voice Assistants
        • Figure 1.2: Common Task Frequencies for Voice Assistants
        • Figure 1.3: Echo Auto & Garmin Speak
      • ii. Enterprise Voice Assistants
  • 1.5. Market Dynamics
    • 1.5.1. Market Drivers
    • 1.5.2. Market Constraints
    • 1.5.3. Market Trends
  • 1.6. Value Chain & Business Models
    • Figure 1.4: Digital Voice Assistant Value Chain
    • 1.6.1. Voice Assistant Business Models
      • i. Platform Companies & Software Integrators
        • Table 1.5: Selection of API Providers & Pricing Schemes
        • Figure 1.6: Orbita Voice Rule-building Tool
        • Case Study: Google Assistant Beauty & The Beast Recommendation
      • ii. App Developers
        • Figure 1.7: Google Play Voice Assistant Apps by Monetisation Strategy

2. Voice Assistant Competitive Landscape

  • 2.1. Voice Assistant Market Summary
    • 2.1.1. Consumer Voice Assistants
      • Figure 2.1: Leader Ranking in Consumer Voice Assistants
      • i. Amazon
      • ii. Google
      • iii. Apple
      • iv. Samsung
      • v. Microsoft
    • 2.1.2. Enterprise Voice Assistants
      • Figure 2.2: Select App-based Consumer & Enterprise Digital Assistant Developers
    • i. Microsoft
    • ii. Amazon
    • iii. Salesforce
    • iv. IBM
    • v. SAP
    • vi. Hound
  • 2.2. Player Landscape & Analysis
    • Table 2.3: Digital Voice Assistant Juniper Leaderboard Stakeholder Selection & Categorisation
    • 2.2.1. Player Analysis Criteria: Consumer Digital Voice Assistants
      • Table 2.4: Consumer Voice Assistant Vendor Capability Assessment Factors
    • 2.2.2. Player Analysis Criteria: Enterprise Digital Voice Assistants
      • Table 2.5: Enterprise Voice Assistant Vendor Capability Assessment Factors
  • 2.3. Stakeholder Analysis: Capability Assessment & Market Positioning
    • 2.3.1. Juniper Leaderboard for Consumer Digital Voice Assistants
      • Figure 2.6: Consumer Digital Voice Assistants Leaderboard
      • Table 2.7: Consumer Voice Assistants Leaderboard Scoring
    • 2.3.2. Player Groupings & Conclusion
      • i. Summary
      • ii. Established Leaders
      • iii. Leading Challengers
      • iv. Disruptors & Emulators
    • 2.3.3. Juniper Leaderboard for Enterprise Digital Voice Assistants
      • Figure 2.8: Enterprise Digital Voice Assistants Leaderboard
      • Table 2.9: Enterprise Voice Assistants Leaderboard Scoring
    • 2.3.4. Player Groupings & Conclusion
      • i. Summary
      • ii. Established Leaders
      • iii. Leading Challengers
      • iv. Disruptors & Emulators

3. Digital Voice Assistants: Market Sizing & Forecasts

  • 3.1. Introduction
  • 3.2. Forecast Methodology
    • 3.2.1. Forecast Steps
      • Figure 3.1: Smart Mobile Device OEM-Based Voice Assistant Forecast Methodology
      • Figure 3.2: Smart Mobile Device App-Based Voice Assistant Forecast Methodology
      • Figure 3.3: PC OS-based Voice Assistant Forecast Methodology
      • Figure 3.4: Connected TV-based Voice Assistant Forecast Methodology
      • Figure 3.5: Automotive Digital Assistants Forecast Methodology
      • Figure 3.6: Smart Home Digital Assistants Forecast Methodology
      • Figure 3.7: Wearables Digital Assistants Forecast Methodology
      • Figure 3.8: Digital Assistants Transactions Forecast Methodology
  • 3.3. Summary Forecasts
    • 3.3.1. Digital Voice Assistant Installed Base Forecasts
      • Figure & Table 3.9: Digital Voice Assistants Installed Base per annum (m), Split by Category 2018-2023
    • 3.3.2. Digital Assistant Revenue Forecasts
      • Figure & Table 3.10: Digital Voice Assistants Revenues per annum ($m), Split by Category, 2018-2023
    • 3.3.3. Digital Voice Assistant Transaction Forecasts
      • Figure & Table 3.11: Digital Voice Assistant Transaction Value per annum ($m), Split by Category
  • 3.4. Digital Assistant Usage Forecasts
    • 3.4.1. Mobile OEM-based Digital Assistants
      • Figure & Table 3.12: Mobile OEM Digital Voice Assistants in Use per annum (m), Split by 8 Key Regions, 2018-2023
    • 3.4.2. PC OS-based Digital Assistants
      • Figure & Table 3.13: PC Operating System-based Digital Voice Assistants in Use per annum (m), Split by 8 Key Regions, 2018-2023
    • 3.4.3. Mobile App-based Digital Assistants
      • Figure & Table 3.14: Mobile App-based Digital Voice Assistants in Use per annum (m), Split by 8 Key Regions, 2018-2023
    • 3.4.4. Connected TV-based Digital Assistants
      • Figure & Table 3.15: Connected TV-based Digital Voice Assistants in Use per annum (m), Split by 8 Key Regions, 2018-2023
  • 3.5. Installed Base Forecasts
    • 3.5.1. Automotive Digital Assistants
      • Figure & Table 3.16: Vehicles with Directly Integrated Voice Assistants Installed Base per annum (m), Split by 8 Key Regions, 2018-2023
    • 3.5.2. Smart Speaker Digital Assistants
      • Figure & Table 3.17: Smart Speaker Voice Assistants Installed Base per annum (m), Split by 8 Key Regions, 2018-2023
    • 3.5.3. Wearable-based Digital Assistants
      • Figure & Table 3.18: Voice Assistant-Enabled Wearables Installed Base per annum (m), Split by 8 Key Regions, 2018-2023
  • 3.6. Transaction Forecasts
    • 3.6.1. Connected TV Voice Assistants
      • Figure & Table 3.19: Global Connected TV Voice Assistant Transaction Value per annum ($m) ), Split by 8 Key Regions, 2018-2023
    • 3.6.2. Smart Speaker Voice Assistants
      • Figure & Table 3.20: Global Smart Speaker Voice Assistant Transaction Value per annum ($m) ), Split by 8 Key Regions, 2018-2023
  • 3.7. Revenue Forecasts
    • 3.7.1. App Revenue Forecasts
      • i. Mobile App Download Revenue
        • Figure & Table 3.21: Global Voice Assistant App Download Revenue Per Annum ($m) Split by 8 Key Regions, 2018-2023
      • ii. In-app Purchase Revenue
        • Figure 3.22: Global Voice Assistant In-App Purchase Revenue Per Annum ($m) Split by 8 Key Regions, 2018-2023
    • 3.7.2. Smart Speaker Hardware Revenues
      • Figure & Table 3.23: Global Voice Assistant Hardware Revenue Per Annum ($m) Split by 8 Key Regions, 2018-2023
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