Summary

このレポートは世界のデジタル音声アシスタント（デジタルボイスアシスタント）市場を調査し、使用事例や動向、ビジネスモデルなどのガイドを掲載しています。

技術別市場予測

• モバイル向けOEMアシスタント
• モバイルアシスタントアプリ
• PC用OSベースのアシスタント
• 自動車向けアシスタント
• スマートホーム向け音声アシスタント
• スマートTVベースのアシスタント
• ウェアラブル向けアシスタント

垂直別市場予測

• 導入率
• アシスタントのインストールベース
• 利用されている数
• 広告効果、広告支出とアプリ収益

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

Table of Contents

1. Voice Assistants: The New Platform

1.1 Introduction . 5
1.2 Definitions . 5
1.3 Research Scope . 5
1.4 Voice Assistant Ecosystem . 6
1.4.1 Devices . 6
Figure 1.1: Voice Assistant Usage by Platform . 6
i. Multimodal Voice Assistants . 7
ii. Multi-Assistant Devices . 7
1.4.2 Assistant Capabilities. 8
i. Consumer Voice Assistants . 8
Figure 1.2: Common Task Frequencies for Voice Assistants . 8
Figure 1.3: Echo Auto & Garmin Speak . 9
ii. Enterprise Voice Assistants . 9
1.5 Market Dynamics . 10
1.5.1 Market Drivers . 10
1.5.2 Market Constraints . 11
1.5.3 Market Trends . 12
1.6 Value Chain & Business Models . 13
Figure 1.4: Digital Voice Assistant Value Chain . 13
1.6.1 Voice Assistant Business Models . 14
i. Platform Companies & Software Integrators . 14
Table 1.5: Selection of API Providers & Pricing Schemes . 14
Figure 1.6: Orbita Voice Rule-building Tool . 15
Case Study: Google Assistant Beauty & The Beast Recommendation . 16
ii. App Developers . 17
Figure 1.7: Google Play Voice Assistant Apps by Monetisation Strategy . 17

2. Voice Assistant Competitive Landscape

2.1 Voice Assistant Market Summary . 20
2.1.1 Consumer Voice Assistants . 20
Figure 2.1: Leader Ranking in Consumer Voice Assistants . 20
i. Amazon . 21
ii. Google . 21
iii. Apple . 22
iv. Samsung . 22
v. Microsoft . 23
2.1.2 Enterprise Voice Assistants . 23
Figure 2.2: Select App-based Consumer & Enterprise Digital Assistant
Developers . 24
i. Microsoft . 24
ii. Amazon . 24
iii. Salesforce . 25
iv. IBM . 25
v. SAP . 26
vi. Hound . 26
2.2 Player Landscape & Analysis . 27
Table 2.3: Digital Voice Assistant Juniper Leaderboard Stakeholder Selection &
Categorisation . 27
2.2.1 Player Analysis Criteria: Consumer Digital Voice Assistants 27
Table 2.4: Consumer Voice Assistant Vendor Capability Assessment Factors . 28
2.2.2 Player Analysis Criteria: Enterprise Digital Voice Assistants 29
Table 2.5: Enterprise Voice Assistant Vendor Capability Assessment Factors . 29
2.3 Stakeholder Analysis: Capability Assessment & Market
Positioning . 30
2.3.1 Juniper Leaderboard for Consumer Digital Voice Assistants 30
Figure 2.6: Consumer Digital Voice Assistants Leaderboard. 30
Table 2.7: Consumer Voice Assistants Leaderboard Scoring . 31
2.3.2 Player Groupings & Conclusion . 32
i. Summary . 32
ii. Established Leaders . 32
iii. Leading Challengers . 32
iv. Disruptors & Emulators . 33
2.3.3 Juniper Leaderboard for Enterprise Digital Voice Assistants 35
Figure 2.8: Enterprise Digital Voice Assistants Leaderboard . 35
Table 2.9: Enterprise Voice Assistants Leaderboard Scoring . 36
2.3.4 Player Groupings & Conclusion . 37
i. Summary . 37
ii. Established Leaders . 37
iii. Leading Challengers . 38
iv. Disruptors & Emulators . 39

3. Digital Voice Assistants: Market Sizing & Forecasts

3.1 Introduction . 41
3.2 Forecast Methodology. 41
3.2.1 Forecast Steps . 41
Figure 3.1: Smart Mobile Device OEM-Based Voice Assistant Forecast
Methodology . 43
Figure 3.2: Smart Mobile Device App-Based Voice Assistant Forecast
Methodology . 44
Figure 3.3: PC OS-based Voice Assistant Forecast Methodology . 45
Figure 3.4: Connected TV-based Voice Assistant Forecast Methodology . 46
Figure 3.5: Automotive Digital Assistants Forecast Methodology. 47
Figure 3.6: Smart Home Digital Assistants Forecast Methodology . 48
Figure 3.7: Wearables Digital Assistants Forecast Methodology . 49
Figure 3.8: Digital Assistants Transactions Forecast Methodology . 50
3.3 Summary Forecasts . 51
3.3.1 Digital Voice Assistant Installed Base Forecasts . 51
Figure & Table 3.9: Digital Voice Assistants Installed Base per annum (m), Split
by Category 2018-2023. 51
3.3.2 Digital Assistant Revenue Forecasts . 52
Figure & Table 3.10: Digital Voice Assistants Revenues per annum ($m), Split by
Category, 2018-2023 . 52
3.3.3 Digital Voice Assistant Transaction Forecasts . 53
Figure & Table 3.11: Digital Voice Assistant Transaction Value per annum ($m),
Split by Category . 53
3.4 Digital Assistant Usage Forecasts . 54
3.4.1 Mobile OEM-based Digital Assistants . 54
Figure & Table 3.12: Mobile OEM Digital Voice Assistants in Use per annum (m),
Split by 8 Key Regions, 2018-2023 . 54
3.4.2 PC OS-based Digital Assistants . 55
Figure & Table 3.13: PC Operating System-based Digital Voice Assistants in Use
per annum (m), Split by 8 Key Regions, 2018-2023 . 55
3.4.3 Mobile App-based Digital Assistants . 56
Figure & Table 3.14: Mobile App-based Digital Voice Assistants in Use per annum
(m), Split by 8 Key Regions, 2018-2023 . 56
3.4.4 Connected TV-based Digital Assistants . 57
Figure & Table 3.15: Connected TV-based Digital Voice Assistants in Use per
annum (m), Split by 8 Key Regions, 2018-2023 . 57
3.5 Installed Base Forecasts . 58
3.5.1 Automotive Digital Assistants . 58
Figure & Table 3.16: Vehicles with Directly Integrated Voice Assistants Installed
Base per annum (m), Split by 8 Key Regions, 2018-2023 . 58
3.5.2 Smart Speaker Digital Assistants. 59
Figure & Table 3.17: Smart Speaker Voice Assistants Installed Base per annum
(m), Split by 8 Key Regions, 2018-2023 . 59
3.5.3 Wearable-based Digital Assistants . 60
Figure & Table 3.18: Voice Assistant-Enabled Wearables Installed Base per
annum (m), Split by 8 Key Regions, 2018-2023 . 60
3.6 Transaction Forecasts. 61
3.6.1 Connected TV Voice Assistants . 61
Figure & Table 3.19: Global Connected TV Voice Assistant Transaction Value per
annum ($m) ), Split by 8 Key Regions, 2018-2023 . 61
3.6.2 Smart Speaker Voice Assistants . 62
Figure & Table 3.20: Global Smart Speaker Voice Assistant Transaction Value
per annum ($m) ), Split by 8 Key Regions, 2018-2023 . 62
3.7 Revenue Forecasts . 63
3.7.1 App Revenue Forecasts . 63
i. Mobile App Download Revenue . 63
Figure & Table 3.21: Global Voice Assistant App Download Revenue Per Annum
($m) Split by 8 Key Regions, 2018-2023. 63
ii. In-app Purchase Revenue. 64
Figure 3.22: Global Voice Assistant In-App Purchase Revenue Per Annum ($m)
Split by 8 Key Regions, 2018-2023 . 64
3.7.2 Smart Speaker Hardware Revenues . 65
Figure & Table 3.23: Global Voice Assistant Hardware Revenue Per Annum ($m)
Split by 8 Key Regions, 2018-2023 . 65