表紙:音声アシスタント市場 - 企業戦略、収益化、市場規模:2020年~2024年
市場調査レポート
商品コード
934254

音声アシスタント市場 - 企業戦略、収益化、市場規模:2020年~2024年

Voice Assistant Market: Player Strategies, Monetisation & Market Size 2020-2024

出版日: | 発行: Juniper Research Ltd | ページ情報: 英文 | 納期: 即日から翌営業日

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音声アシスタント市場 - 企業戦略、収益化、市場規模:2020年~2024年
出版日: 2020年04月28日
発行: Juniper Research Ltd
ページ情報: 英文
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 目次
概要

音声アシスタントは、幅広いデバイスに含まれ、現在はインタラクションプラットフォームの主流になっています。音声アシスタント市場を理解することは、デジタルインタラクションプラットフォームにとって非常に重要です。

当レポートでは、音声アシスタント市場について調査分析し、新興の技術、ユースケース、動向、ビジネスモデルについて、体系的な情報を提供しています。

当レポートには、以下が含まれます。

提供内容

  • 戦略・予測 (PDF)
  • 5年間の市場規模・予測のスプレッドシート (Excel)
  • オンラインデータプラットフォームへの12ヶ月間のアクセス

主な特徴

  • 市場情勢
  • ビジネスモデル
  • ベンチマーク業界予測
  • Juniper Research Leaderboard

主な質問

掲載企業

データ・インタラクティブ予測

  • 音声アシスタント市場データ:8地域別、10ヶ国別
    • ブラジル
    • カナダ
    • 中国
    • フランス
    • ドイツ
    • 日本
    • メキシコ
    • 韓国
    • 英国
    • 米国
  • 音声アシスタント市場データの内訳:主要7業種
    • OEMモバイル音声アシスタント
    • モバイル音声アシスタントアプリ
    • PC OSベースの音声アシスタント
    • 自動車用音声アシスタント
    • スマートスピーカー音声アシスタント
    • スマートTVベースの音声アシスタント
    • ウェアラブル音声アシスタント
  • 予測データセット (60の表、約6,000のデータポイントを含む) へのアクセス
目次

Overview

Now present in a wide range of devices and having become a mainstream interaction platform, understanding the voice assistant marketplace is crucial for any digital interaction platform.

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

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

This research includes:

  • Strategy & Forecasts (PDF)
  • 5-Year Market Sizing & Forecast Spreadsheet (Excel)
  • 12 months' access to harvest online data platform

Key Features

  • Market Landscape: In-depth assessment of, and insights into, the wider voice assistant market share, examining:
    • Core capabilities and strategies of key voice assistant players
    • Applications of voice assistants by vertical, including the emerging enterprise voice assistant 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 voice assistant value chain, from enterprise use to advertising.
  • Benchmark Industry Forecasts: Size, growth and revenue from the following voice assistant sectors:
    • OEM Mobile Voice Assistants
    • Mobile Voice Assistant Apps
    • PC OS-based Voice Assistants
    • Automotive Voice Assistants
    • Smart Speaker Voice Audio Assistants
    • Smart TV-based Voice Assistants
    • Wearable Voice Assistants
  • Juniper Research Leaderboards: The following consumer and enterprise voice assistant players compared:
    • Alibaba
    • Amazon
    • Apple
    • Artificial Solutions
    • Baidu
    • Cerence
    • Dialogflow
    • Google
    • IBM
    • iFLYTEK
    • IPSoft
    • Microsoft
    • Nuance
    • Oracle
    • Orange
    • Robin Labs
    • Samsung
    • Sherpa
    • SoundHound
    • Tencent
    • Xiaomi

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: LifePod, Saint Louis University.
  • Included in Juniper Research Leaderboard: Alibaba, Amazon, Apple, Artificial Solutions, Baidu, Cerence, Dialogflow, Google, IBM, IFLYTEK, IPSoft, Microsoft, Nuance, Orange, Robin Labs, Samsung, Sherpa, SoundHound, Tencent, Xiaomi.
  • Mentioned: Accenture, Adobe, Alibaba, Ally Bank, Amazon, Apple, ARM, Artificial Solutions, Ashley Home Stores, AWS, Baidu, Bing, BMW, Bosch, CapGemini, Capital One, Cisco, CommScope, Continental, Deutsche Telekom, Dialogflow, Doritos, EngageByVoice.com, Facebook, Ford, Garmin, General Motors, Google, Hamilton Beach, HARMAN, Havyn, Hellmann, Hotel Internet Services Inc, IBM, IKOHS, Intel, IPSoft, JD.com, Kia, Laserlike, LifePod, Linglong Technology, Maserati, Mediatek, Microsoft, Mozilla, Neff, NetElixir, Nvidia, Oculus, Oracle, Orange, Orbita, Pandora, PayPal, Pegasystems, PYMNTS, Qualcomm, Qualcomm, Rokid, Royal Bank of Canada, Salesforce, Samsung, SAP, Sherpa, Sonos, Sony, SoundHound, Spotify, Tencent, Turi, UBTech, Voiceflow, Voicify, Volkswagen, Voysis, Walmart, WeChat, Xiaomi, Xnor.ai, YouTube, Zendesk, Zigbee Alliance.

Data & Interactive Forecast

The new ‘Voice Assistant ’ forecast suite includes:

  • Voice Assistant market data splits for 8 key regions and 10 countries including:
    • Brazil
    • Canada
    • China
    • France
    • Germany
    • Japan
    • Mexico
    • South Korea
    • UK
    • US
  • Voice Assistant market data splits for 7 key verticals:
    • OEM Mobile Voice Assistants
    • Mobile Voice Assistant Apps
    • PC OS-based Voice Assistants
    • Automotive Voice Assistants
    • Smart Speaker Voice Assistants
    • Smart TV-based Voice Assistants
    • Wearable Voice Assistants
    • Access to the full set of forecast data of 60 tables and almost 6,000 data points
  • All verticals include:
    • Adoption rates
    • Assistant installed base
    • Numbers in use

Juniper Research's highly granular interactive Excels enable clients to manipulate Juniper Research'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: Ecosystem Opportunities

  • 1.1 Introduction
  • 1.2 Definitions
  • 1.3 Research Scope
  • 1.4 Voice Assistant Ecosystem
    • Figure 1.1: Voice Assistant Usage Continues to Increase
    • 1.4.1 Consumer Solutions
      • i. Assistant Functionalities
        • Figure 1.2: Functions that Voice Assistant Users have Controlled by Voice (% respondents using these functions)
      • ii. Delivery Channels
        • Figure 1.3: IKHOS Smart Cleaning Robot
    • 1.4.2 Enterprise Solutions
      • i. B2B Applications
      • ii. B2C Applications
    • 1.4.3 Industry-Specific Solutions
      • i. BFSI
      • ii. Retail & Voice Commerce
      • iii. Education
        • Case Study: Saint Louis University
      • iv. Healthcare
        • Figure 1.4: Voice Assistant Use in Healthcare
      • i. Hospitality
        • Figure 1.5: Alexa for Hospitality Highlighted Features
      • ii. Automotive
        • Figure 1.6: Current and Future Usage of In-car Voice Assistants
  • 1.5 Market Dynamics
    • 1.5.1 Market Drivers
      • i. Voice Search
      • ii. Demand for Self Service
      • iii. Connected Home over IP (CHIP)
      • iv. Exponential Growth in Asia
    • 1.5.2 Technology Drivers
      • i. Advances in Voice & AI Systems
      • ii. 5G Infrastructure
      • iii. Edge Computing
      • iv. Cross Skill Goal Completion
    • 1.5.3 Market Constraints
      • i. Lack of Multilingual Support
      • ii. Need for Cross-Platform Standards
      • iii. Trust & Privacy Legislation
      • Figure 1.7: Main Voice Assistant Privacy Concerns
  • 1.6 Value Chain & Monetisation Models
    • 1.6.1 Stakeholder Outline
      • Figure 1.8: Juniper Research's Digital Voice Assistant Value Chain Model
    • 1.6.2 Monetisation Models
      • i. Ecosystem Lock-In
      • ii. Voice Search & Advertising
      • iii. Extension & Subscription Opportunities
      • Figure 1.9: Google Play Voice Assistant Apps Available 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
      • i. Microsoft
      • ii. Amazon
      • iii. Salesforce
      • iv. Apple
      • v. IBM
  • 2.2 Player Landscape & Analysis
    • 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 Research 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 Consumer Player Groupings & Conclusion
      • i. Established Leaders
      • ii. Leading Challengers
      • iii. Disruptors & Emulators
    • 2.3.3 Juniper Research 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 Enterprise Player Groupings & Conclusion
      • i. Established Leaders
      • ii. Leading Challengers
      • iii. Challengers

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 Voice Assistants Forecast Methodology
      • Figure 3.6: Smart Speaker Voice Assistants Forecast Methodology
      • Figure 3.7: Wearables Voice Assistants Forecast Methodology
      • Figure 3.8: Voice Assistants Transactions Forecast Methodology
  • 3.3 Summary Forecasts
    • 3.3.1 Digital Voice Assistants Installed Base Forecasts
      • Figure & Table 3.9: Digital Voice Assistants Installed Base per Annum (m), Split by Category 2019-2024
    • 3.3.2 Digital Assistants Revenue Forecasts
      • Figure & Table 3.10: Digital Voice Assistants Revenue per Annum ($m), Split by Category, 2019-2024
    • 3.3.3 Digital Voice Assistants Transaction Forecasts
      • Figure & Table 3.11: Digital Voice Assistants Transaction Value per Annum ($m), Split by Category, 2019-2024
  • 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, 2019-2024
    • 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, 2019-2024
    • 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, 2019-2024
    • 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, 2019-2024
  • 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, 2019-2024
    • 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, 2019-2024
    • 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, 2019-2024
  • 3.6 Transaction Forecasts
    • 3.6.1 Connected TV Voice Assistants
      • Figure & Table 3.19: Global Connected TV Voice Assistant Transaction Value per Annum ($m), Split by 8 Key Regions, 2019-2024
    • 3.6.2 Smart Speaker Voice Assistants
      • Figure & Table 3.20: Global Smart Speaker Voice Assistant Transaction Value per Annum ($m), Split by 8 Key Regions, 2019-2024
  • 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 ($m) Split by 8 Key Regions, 2019-2024
      • ii. In-app Purchase Revenue
        • Figure 3.22: Global Voice Assistant In-App Purchase Revenue Per Annum ($m) Split by 8 Key Regions, 2019-2024
    • 3.7.2 Smart Speaker Hardware Revenue
      • Figure & Table 3.23: Global Voice Assistant Hardware Revenue Per Annum ($m) Split by 8 Key Regions, 2019-2024