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市場調查報告書

數位語音助手:平台·收益·市場機會 (2019-2023年)

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

出版商 Juniper Research Ltd 商品編碼 369028
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
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數位語音助手:平台·收益·市場機會 (2019-2023年) Digital Voice Assistants: Platforms, Revenues & Opportunities 2019-2023
出版日期: 2019年02月12日內容資訊: 英文
簡介

由於AI的進步,數位語音助手正在成為消費者設備使用中不可或缺的一部分。

本報告提供數位語音助手的市場調查,彙整市場及技術概要,價值鏈和商務 模式,市場成長的各種影響因素分析,競爭環境與主要企業的地位,用戶數及各種收益的變化與預測,地區·產品部門·利用類別的明細等資料。

提供內容

  • 市場趨勢·市場機會 (PDF)
  • 5年市場預測 (Excel)

目錄

第1章 語音助手:新的平台

  • 簡介
  • 定義
  • 調查範圍
  • 數位語音助手的生態系統
  • 市場動態
  • 價值鏈&經營模式

第2章 語音助手:競爭環境

  • 市場摘要
    • 消費者取向語音助手
      • Amazon
      • Google
      • Apple
      • Samsung
      • Microsoft
    • 企業用語音助手
      • Microsoft
      • Amazon
      • Salesforce
      • IBM
      • SAP
      • Hound
  • 企業環境·分析
    • 企業分析標準:消費者取向
    • 企業分析標準:企業用
  • 相關利益者分析:能力分析·市場上地位
    • 排行榜分析:消費者取向
    • 排行榜分析:企業用

第3章 數位語音助手:市場規模·預測

  • 簡介
  • 預測手法
  • 摘要
    • 用戶數
    • 收益預測
    • 交易
  • 利用預測
    • 行動OEM型
    • PC OS型
    • 行動應用程式型
    • 連網型TV型
  • 用戶數預測
    • 汽車數位助手
    • 智慧喇叭數位助手
    • 穿戴式數位助手
  • 交易預測
    • 聯網電視語音助手
    • 智慧喇叭語音助手
  • 收益預測
    • 應用程式收益
    • 智慧喇叭硬體設備收益

本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

目錄

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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