表紙
市場調查報告書
商品編碼
1021710

語音助手:貨幣化策略、競爭力、市場預測(2021-2026)

Voice Assistants: Monetization Strategies, Competitive Landscape & Market Forecasts 2021-2026

出版日期: | 出版商: Juniper Research Ltd | 英文 | 商品交期: 最快1-2個工作天內

價格
  • 全貌
  • 簡介
  • 目錄
簡介

本報告探討了全球語音助手市場,並提供了有關市場規模和預測、詳細的市場估值和份額見解、戰略、整體市場影響因素、關鍵公司概況等方面的信息。

數據和交互式預測

  • 市場數據:8個主要地區和25個國家
    • 阿根廷
    • 澳大利亞
    • 巴西
    • 加拿大
    • 中國
    • 哥倫比亞
    • 丹麥
    • 法國
    • 德國
    • 印度
    • 意大利
    • 日本
    • 墨西哥
    • 荷蘭
    • 挪威
    • 波蘭
    • 葡萄牙
    • 沙特阿拉伯
    • 新加坡
    • 南非
    • 韓國
    • 西班牙
    • 瑞典
    • 英國
    • 美國
  • 市場數據:7大行業
    • OEM 移動語音助手
    • 手機語音助手應用
    • 基於 PC 操作系統的語音助手
    • 車載語音助手
    • 智能音箱語音助手
    • 基於智能電視的語音助手
    • 可穿戴語音助手
  • 安裝基礎
    • 使用的設備
    • 設備發貨
    • 語音助手硬件收入
    • 語音助手軟件收入
    • 語音助手交易金額

目錄

戰略和競爭細節

第 1 章要點和戰略建議

  • 介紹及調查範圍
  • 要點
  • 給平台提供商的戰略建議

第 2 章數字語音助手的主要市場趨勢

  • 介紹和定義
  • 語音助手生態系統
    • 供應商情況
    • 交付渠道
      • 智能音箱
      • 智能家電
      • 智能手機/個人電腦
      • 電視/遊戲機
      • 可聽
      • 聊天機器人
      • 機器人
    • 消費者用例
    • Enterprise-Introduction Growth Factors
      • 基於人工智能的分析
      • 用於 VR/AR 應用的語音用戶界面
    • 技術能力的進步
      • 界面設計和用戶體驗
      • 更廣泛的語言支持
      • 上下文感知
      • 情感人工智能
    • 隱私和信任
    • 區域市場波動

第三章語音助手價值鍊及變現模型

  • 主要進入者和價值鏈模型
  • 盈利模式
    • 硬件收入
    • 平台和軟件收入
      • API 貨幣化
      • 付費搜索收入
      • 廣告
    • 交易收入
      • 應用內購買和訂閱
      • 第三方
    • 主要用例
      • 客戶體驗和分析
      • 會議和電話會議管理
      • 汽車指令控制
      • 媒體和娛樂的個性化
      • 大流行期間的教育和健康用途
    • 市場演變

第四章語音助手的競爭態勢

  • 簡介
  • 排行榜評分標準
  • 瞻博網絡消費者數字語音助手調查排行榜
  • 瞻博網絡企業數字語音助手調查排行榜
    • 供應商分組和結論
    • 既定的領導者
    • 主要問題
    • 干擾器和模擬器
    • 限制和解釋
  • 語音助手供應商簡介
    • 阿里巴巴
      • 公司
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 高層次的產品
      • 瞻博研究的觀點
    • 亞馬遜
      • 公司
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 提供的產品概述
      • 瞻博網絡研究觀點:主要優勢和戰略機遇
    • Amelia/IPSoft
      • 公司
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 高層次的產品
      • 瞻博網絡研究觀點:主要優勢和戰略機遇
    • 蘋果
      • 公司
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 提供的產品概述
      • 瞻博網絡研究觀點:主要優勢和戰略機遇
    • 人工解決方案
      • 公司
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 提供的產品概述
      • 瞻博網絡研究觀點:主要優勢和戰略機遇
    • 百度
      • 公司簡介
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 高層次的產品
      • 瞻博網絡研究觀點:主要優勢和戰略機遇
    • 瑟倫斯
      • 公司
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 高層次的產品
      • 瞻博網絡研究觀點:主要優勢和戰略機遇
    • 德國電信
      • 公司
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 高層次的產品
      • 瞻博網絡研究觀點:主要優勢和戰略機遇
    • 谷歌
      • 公司
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 提供的產品概覽
      • 瞻博網絡研究觀點:主要優勢和戰略機遇
    • IBM
      • 公司
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 高層次的產品
      • 瞻博研究的觀點
    • 微軟
      • 公司簡介
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 高層次的產品
      • 瞻博網絡研究觀點:主要優勢和戰略機遇
    • Mycroft.ai
      • 公司
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 高層次的產品
      • 瞻博研究的觀點
    • 細微差別
      • 公司
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 高級產品組合
      • 瞻博研究的觀點
    • 拉薩
      • 公司簡介
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 高層次的產品
      • 瞻博研究的觀點:
    • 三星
      • 公司
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 高層次的產品
      • 瞻博網絡研究觀點:主要優勢和戰略機遇
    • SAP
      • 公司簡介
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 高層次的產品
      • 瞻博網絡研究觀點:主要優勢和戰略機遇
    • 獵犬
      • 公司簡介
      • 地域擴張
      • 與主要客戶的戰略聯盟
      • 高層次的產品
      • 瞻博研究的觀點

詳細數據和預測

第一章語音助手介紹及預測技巧

  • 簡介
  • 定義
  • 預測性調查方法
    • 預測程序

第 2 章語音助手市場概況

  • 語音助手安裝基礎
    • 按類別劃分的數字語音助手
    • 區域數字語音助手
  • 數字語音助手交易量
  • 語音助手市場銷量

第三章語音助手市場預測

  • 數字助理使用預測
    • 基於移動 OEM 的數字助理
    • 基於 PCOS 的數字助理
    • 基於移動應用程序的數字助理
    • 聯網電視數字助理
  • 基於安裝的預測
    • 汽車數字助理
    • 智能音箱數字助理
    • 可穿戴式數字助理

第 4 章語音助手貨幣化預測

  • 交易預測
    • 聯網電視語音助手
    • 智能音箱語音助手
  • 收入預測
    • 應用收入
    • 智能音箱硬件收入
目錄

Now present in a wide range of devices and having become a mainstream interaction platform, understanding the voice assistant marketplace is crucial for a wide range of services. Our cutting-edge research on “Voice Assistants” is a vital guide to these disruptive platforms, their use cases, market 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
    • Discussion of voice assistants devices as delivery channels, and what that means for their capabilities.
    • 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 hardware revenue to transactions.
  • 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 are compared on an enterprise and consumer product basis:
    • Alibaba
    • Amazon
    • Apple
    • Artificial Solutions
    • Baidu
    • Cerence
    • Deutsche Telekom
    • Google
    • IBM
    • IPSoft
    • Microsoft
    • Nuance
    • RASA
    • Samsung
    • SAP
    • SoundHound
    • Xiaomi

KEY QUESTIONS

  • 1. Where can these technologies be monetised to ensure their longevity?
  • 2. What enterprise use cases for voice assistants will have the most success?
  • 3. What effects will the moves of the voice assistant platform providers have on the ecosystem?
  • 4. What impact does different hardware have on voice assistant deployment and use?
  • 5. How are other technologies and players interacting with the voice assistant market?

COMPANIES REFERENCED

  • Case Studied: NEURA Robotics
  • Included in the Juniper Research Leaderboard for Consumer Digital Voice Assistants: Alibaba, Amazon, Apple, Artificial Solutions, Baidu , Deutsche Telekom, Google, Mycroft, Nuance, RASA, Samsung, SoundHound, Xiaomi.
  • Included in the Juniper Research Leaderboard for Enterprise Digital Voice Assistants: Amazon, Apple, Artificial Solutions, Baidu, Cerence, Google, IBM, IPSoft, Microsoft, Nuance, RASA, SAP, SoundHound.
  • Mentioned: ab1 GroupAB, Accenture, Adobe, Affectiva, Airbus, Allwinner, AT&T, Audi, Babel, Banco BPM, Bank of America, Bankia, BBVA, Bing, Blueprism, BMW, Bosch, Bose, Budweiser, Cambridge Audio, CanaryCare, Capgemini, Cerence, CGI, Circle K, Cogita, Cognizant, Conversation Design Institute, CSG, Daimler, Deloitte, Dialogflow, Disney, Dominos, Dragon, Edison Research, EMC, ENGIE, Explorsys, Facebook, Fitbit, Ford, France Telecom, Gartner, GCP, Geely, General Motors, Global Catalyst Partners, GM, Grohe, HCA Healthcare, Helvetia Insurance, Houndify, Hyundai, Hyundai Motor Company, IBM, ICA, IFLYTEK, iHeartRadio, Inductiv, Instagram, Intel, Kleiner Perkins, KPMG, Land Rover, LG, LIFX, Line, Mastercard, Mercedes-Benz, Merge Healthcare, Microsoft, Midea Group, Miele, Milestone, MindMeld, MKaNN, Netflix, NPR, Nvidia GPU Ventures, Occulus, Onkyo, Oracle, Orange, Oreo, Panasonic, Pandora, Pegasystems, Phillips, Phytel, PNB Paribas, PullString, RSI Fund, SAIC, Salesforce, SAP JAM Collaboration, Scania, SEB, SelectQuote, Sherpa.ai, Sickweather, Skoda, Slack, Snapchat, Sonos, Sony, Spotify, Starbucks, Sterling Bank, Swisscom, Synqq, TechMahindra, Telegram, Tencent, Tencent, T-Head, Ticketmaster, Toyota, Twilio, Twitter, Uber, UiPath, Universidad de Burgos, Verto Analytics, Viv Labs, VMWare, Voicea, Volara, Vonage, Voysis, Wall++, Webchat, Widiba, Workspace, Yandex, YouTube, Zendesk, Zoom.

DATA & INTERACTIVE FORECAST

The new “Voice Assistants” forecast suite includes:

  • Voice Assistant market data splits for 8 key regions and 25 countries including:
    • Argentina
    • Australia
    • Brazil
    • Canada
    • China
    • Colombia
    • Denmark
    • France
    • Germany
    • India
    • Italy
    • Japan
    • Mexico
    • Netherlands
    • Norway
    • Poland
    • Portugal
    • Saudi Arabia
    • Singapore
    • South Africa
    • South Korea
    • Spain
    • Sweden
    • 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:
    • Assistant installed base
  • Selected verticals include:
    • Devices in use
    • Device shipments
    • Voice assistant hardware revenue
    • Voice assistant software revenue
    • Voice assistant transaction value

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

Deep Dive Strategy &Competition

1. Key Takeaways & Strategic Recommendations

  • 1.1 Introduction & Research Scope
  • 1.1 Key Takeaways
  • 1.2 Strategic Recommendations for Platform Providers

2. Key Market Trends for Digital Voice Assistants

  • 2.1 Introduction & Definition
  • 2.2 Voice Assistant Ecosystems
    • 2.2.1 Vendor Landscape
      • Figure 2.1: Vendor Categories
    • 2.2.2 Delivery Channels
      • i. Smart Speakers
      • ii. Smart Home Appliances
      • iii. Smartphones & PCs
      • iv. TVs & Games Consoles
      • v. Hearables
      • vi. Chatbots
      • vii. Robots
    • 2.2.3 Consumer Use Cases
      • Table 2.2: Voice Assistants - 24-hour Companions
    • 2.2.4 Enterprise - Adoption Drivers
      • i. AI-based Analytics
      • ii. Voice UI for VR/AR Applications
    • 2.2.5 Advances in Technical Capabilities
      • i. Interface Design and User Experience
      • ii. Broader Language Support
      • iii. Context Awareness
      • iv. Affective AI
    • 2.2.6 Privacy & Trust
    • 2.2.7 Regional Market Variations

3. Voice Assistant Value Chain and MonetisationModels

  • 3.1 Key Participants & Value Chain Model
    • Table 3.1: Value Chain Stakeholder Profiles
  • 3.2 Monetisation Models
    • 3.2.1 Hardware Revenue
    • 3.2.2 Platform & Software Revenue
      • i. API Monetisation
      • ii. Paid Search Revenue
      • iii.Advertising
    • 3.2.3 Transactional Revenue
      • i. In-App Purchases & Subscriptions
      • ii. Third Party
    • 3.2.4 Leading Use Cases
      • i. Customer Experience & Analytics
        • Figure 3.2: Starbucks Bearista Smart Speaker
      • ii. Meeting & Conference Call Management
      • iii. Automotive Command & Control
      • iv. Media & Entertainment Personalisation
      • v. Education and Health Applications during the Pandemic
    • 3.2.5 Market Evolution
      • Figure 3.3: Juniper Research Evolution Model for Digital Voice Assistants

4. Voice Assistants Competitive Landscape

  • 4.1 Introduction
  • 4.2 Leaderboard Scoring Criteria
    • Figure 4.1: Voice Assistant Vendor Capability Assessment Factors
  • 4.3 Juniper Research Leaderboard for Consumer Digital Voice Assistants
    • Table 4.2: Consumer Voice Assistants Scoring
    • Figure 4.3 Consumer Voice Assistants Leaderboard
  • 4.4 Juniper Research Leaderboard for Enterprise Digital Voice Assistants
    • Table 4.4: Enterprise Voice Assistant Scoring
    • Figure 4.5: Enterprise Voice Assistants Leaderboard
    • 4.4.1 Vendor Groupings & Conclusion
    • 4.4.2 Established Leaders
    • 4.4.3 Leading Challengers
    • 4.4.4 Disruptors & Emulators
    • 4.4.5 Limitations and Interpretation
  • 4.5 Voice Assistant Vendor Profiles
    • 4.5.1 Alibaba
      • i.Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level Product Offerings
      • v. Juniper Research's View
    • 4.5.2 Amazon
      • i.Corporate
        • Table 4.6: Amazon Financial Snapshot, 2018-2020 ($m), FYE 31st December
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.5.3 Amelia/IPSoft
      • i.Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level Product Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.5.4 Apple
      • i.Corporate
        • Table 4.7: Apple Financial Snapshot, 2018-2020 ($m), FYE 30th September
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.5.5 Artificial Solutions
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.5.6 Baidu
      • i. Corporate Profile
        • Figure 4.8: Raven H
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level Product Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.5.7 Cerence
      • i. Corporate
        • Table 4.9: Cerence Financial Snapshot, 2018-2020 ($m), FYE 30th September
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level Product Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.5.8 Deutsche Telekom
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level Product Offering
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.5.9 Google
      • i.Corporate
        • Table 4.10: Google Financial Snapshot, 2018-2020 ($m), FYE 30th September
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.5.10 IBM
      • i. Corporate
        • Table 4.11: IBM Financial Snapshot, 2018-2020 ($bn), FYE 31st December
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level Product Offering
      • v. Juniper Research's View
    • 4.5.11 Microsoft
      • i. Corporate Profile
        • Table 4.1: Microsoft Financial Snapshot, 2018-2020 ($bn), FYE 31st December
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level Product Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.5.12 Mycroft.ai
      • i.Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level Product Offering
      • v. Juniper Research's View
    • 4.5.13 Nuance
      • i. Corporate
        • Table 4.13: Nuance Financial Snapshot, 2018-2020 ($bn), 30th September
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level Product Portfolio
      • v. Juniper Research's View
    • 4.5.14 RASA
      • i. Company Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level Product Offerings
      • v. Juniper Research's View:
    • 4.5.15 Samsung
      • i. Corporate
        • Table 4.14: Samsung Electronics Financial Snapshot, 2018-2020 ($bn), FYE December
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level Product Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.5.16 SAP
      • i. Company Profile
        • Table 4.15: SAP Financial Snapshot, 2018-2020 ($bn), FYE 31st December
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level Product Offering
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.5.17 Soundhound
      • i. Company Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level Product Offerings
      • v. Juniper Research's View

Deep Dive Data & Forecasting

1. Voice Assistants Introduction & ForecastMethodology

  • 1.1 Introduction
  • 1.2 Definitions
  • 1.3 Forecast Methodology
    • 1.3.1 Forecast Steps
      • Figure 1.1: Smart Mobile Device OEM-Based Voice Assistant Forecast Methodology
      • Figure 1.2: Smart Mobile Device App-Based Voice Assistant Forecast Methodology
      • Figure 1.3: PC OS-based Voice Assistant Forecast Methodology
      • Figure 1.4: Connected TV-based Voice Assistant Forecast Methodology
      • Figure 1.5: Automotive Voice Assistants Forecast Methodology
      • Figure 1.6: Smart Speaker Voice Assistants Forecast Methodology
      • Figure 1.7: Wearables Voice Assistants Forecast Methodology
      • Figure 1.8: Voice Assistants Transactions Forecast Methodology

2. Voice Assistant Market Summary

  • 2.1 Voice Assistant Installed Base
    • 2.1.1 Digital Voice Assistants by Category
      • Figure & Table 2.1: Digital Assistants in Use Per Annum (m), Split by Platform, 2021-2026
    • 2.1.2 Digital Voice Assistants by Region
      • Figure & Table 2.2: Digital Assistants in Use Per Annum (m), Split by 8 Key Regions, 2021-2026
  • 2.2 Digital Voice Assistants Transaction Volume
    • Figure & Table 2.3: Digital Voice Assistant Transactions Per Annum (m), Split by 8 Key Regions, 2021-2026
    • Table 2.4: Digital Voice Assistant Transactions Per Annum (m), Split by Category
  • 2.3 Voice Assistant Market Value
    • Figure & Table 2.5: Digital Voice Assistant Market Value ($m), Split by 8 Key Regions, 2021-2026

3. Voice Assistant Market Forecasts

  • 3.1 Digital Assistant Usage Forecasts
    • 3.1.1 Mobile OEM-based Digital Assistants
      • Figure & Table 3.1: Number of Mobile OEM-based Digital Assistants in Use (m), Split by 8 Key Regions, 2021-2026
    • 3.1.2 PC OS-based Digital Assistants
      • Figure & Table 3.2: Number of PC-based Digital Assistants in Use (m), Split by Key 8 Regions, 2021-2026
    • 3.1.3 Mobile App-based Digital Assistants
      • Figure & Table 3.3: Number of Mobile App-based Digital Assistants (m), Split by Key 8 Regions, 2021-2026
    • 3.1.4 Connected TV-based Digital Assistants
      • Figure & Table 3.4: Number of Connected TVs with Digital Assistants in use (m), Split by 8 Key Regions, 2021-2026
  • 3.2 Installed Base Forecasts
    • 3.2.1 Automotive Digital Assistants
      • Figure & Table 3.5: Number of Cars with Integrated Digital Assistants (m), Split by 8 Key Regions
    • 3.2.2 Smart Speaker Digital Assistants
      • Figure & Table 3.6: Number of Smart Speakers (m), Installed Base Per Annum, Split by 8 Key Regions
    • 3.2.3 Wearable-based Digital Assistants
      • Figure & Table 3.7: Number of Wearables with Voice Assistants, Installed Base Per Annum (m), Split by 8 Key Regions, 2021-2026

4. Voice Assistant Monetisation Forecasts

  • 4.1 Transaction Forecasts
    • 4.1.1 Connected TV Voice Assistants
      • Figure & Table 4.1: Number of Transactions Made Through Connected TV Voice Assistants (m), Split by 8 Key Regions, 2021-2026
    • 4.1.2 Smart Speaker Voice Assistants
      • Figure & Table 4.2: Total Transactions Made by Payment-Enabled Smart Speakers Per Annum (m), Split by 8 Key Regions, 2021-2026
  • 4.2 Revenue Forecasts
    • 4.2.1 App Revenue
      • Figure & Table 4.3: Digital Assistant App Revenue ($m), Split by 8 Key Regions, 2021-2026
    • 4.2.2 Smart Speaker Hardware Revenue
      • Figure & Table 4.4: Smart Speakers Hardware Revenue ($m), Split by 8 Key Regions, 2021-2026