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市場調查報告書

聊天機器人:零售,電子商務,銀行及醫療保健 2017-2022年

Chatbots: Retail, eCommerce, Banking & Healthcare 2017-2022

出版商 Juniper Research 商品編碼 499464
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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聊天機器人:零售,電子商務,銀行及醫療保健 2017-2022年 Chatbots: Retail, eCommerce, Banking & Healthcare 2017-2022
出版日期: 2017年05月09日 內容資訊: 英文
簡介

本報告提供聊天機器人市場相關調查,各部門 (銀行,醫療保健,社群,電子商務 & 零售) 主要的市場機會、動態分析,主要企業,主要的利用案例和其今後5年帶給消費者的影響,策略性建議,及產業所面臨的課題等相關彙整。

第1章 聊天機器人產業

  • 簡介
  • 目前市場情況
  • 聊天機器人的生態系統
    • AI (人工智能) & NLP (自然語言處理)的情形
    • 聊天機器人市場主要促進要素
    • 聊天機器人市場面臨的相關課題
  • 聊天機器人部門分析
    • 聊天機器人:主要的部門
    • 通訊軟體
    • 社群聊天機器人
    • 貿易 & 零售
    • 銀行 & 金融
    • 醫療保健
    • 客戶服務
  • 聊天機器人的經營模式
    • 平台策略:BaaS (機器人即服務)
    • 機器人開發的商業化戰略

第2章 整體市場預測:聊天機器人

  • 聊天機器人的整體市場
    • 簡介
    • 聊天機器人 & 聊天機器人應用的年度存取總數
    • 聊天機器人 & 聊天機器人應用的收益總額
    • 對聊天機器人 & 聊天機器人應用的廣告費總額
    • 由於聊天機器人 & 聊天機器人應用的商務成本的節約總額
  • 通訊軟體聊天機器人的整體市場
    • 簡介
    • 生成收益的通訊軟體聊天機器人的存取總數
    • 通訊軟體聊天機器人的收益總額
    • 通訊聊天機器人的節約時間總數
  • 分離式應用聊天機器人的整體市場
    • 簡介
    • 聊天機器人類型應用的年度存取總數
    • 聊天機器人支援應用的收益總額
    • 對聊天機器人支援應用的廣告費總額
  • 網站型聊天機器人的整體市場
    • 簡介
    • 聊天機器人網站的年度訪問總數
    • 網站型聊天機器人的零售支出總額
    • 網站型聊天機器人的節約時間總數
    • 對網站型聊天機器人的廣告費總額
  • SMS聊天機器人的整體市場
    • 聊天機器人相互作用的A2P訊息發送數
目錄

Overview

Juniper's ‘Chatbots’ research provides the most comprehensive study of this burgeoning sector available today, analysing the opportunities available to investors covering key markets including:

  • Banking
  • Healthcare
  • Social
  • eCommerce & Retail

This study is an indispensable reference source for industry players wishing to gain competitive advantage in this highly attractive industry.

The research includes:

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

Key Features

  • Sector Analysis: Investigates key market opportunities for sectors including:
    • Banking
    • Healthcare
    • Social
    • eCommerce & retail
  • Sector Dynamics: Understand the key components of this market, and how it is being driven forwards in terms of:
    • User adoption
    • Monetisation strategies and chatbot business models
    • Key industries for deployment
  • Trend Appraisal: Major trends identified and defined with Juniper's opinion and assessment of the implications for the industry, including:
    • Juniper Phased Evolution market model for Chatbot types
    • Core trends and drivers, supported by case studies & industry data
    • Strategic recommendations and outlook for industry players
  • Benchmark Industry Forecasts for chatbots across, on the following platforms; SMS, web browser, discrete applications, and messaging applications, quantifying the following indicators:
    • Revenues Generated
    • Advertising Spend
    • Service Provider Costs Saved
    • End User Time saved

Key Questions

  • 1. What is the size of the opportunity for chatbots moving forwards, and which industries stand to benefit most from their integration?
  • 2. Who are the key players in this market and how are they developing their chatbot strategies?
  • 3. What are the main use cases for chatbots and how will these impact consumers in the next 5 years?
  • 4. What are Juniper's strategic recommendations for those seeking to take advantage of this burgeoning market?
  • 5. What are the hurdles faced by the industry, and how can these be addressed?

Companies Referenced

Aivo, Alibaba, Alphabet, Amazon, American Express, Angel.ai, API.ai, Aspect, Babylon Health, Baidu, Boston Medical Center, Cheesecake Factory, CNN, CodeBroker, Cognea, Domino's, Facebook, FreshDirect, Google, HealthTap, Hello Jarvis, HelloWorld, IBM, Kasisto, Kayak, Kik, Kip, Kit CRM, LINE, Mastercard, Microsoft, NHS (National Health Service), Poncho, ReplyYes, Shopify, SimSimi, Skype, Slack, SRI International, Subway, Tencent, Uber, Varo, Wand Labs, Web MD, WeChat, WhatsApp, Whole Foods, Wit.ai, Xiaoice.

Data & Interactive Forecast

Juniper's ‘Chatbots’ forecast suite includes:

  • Data splits for 8 key global regions in addition to country breakdowns for:
    • Brazil
    • Canada
    • China
    • Denmark
    • France
    • Germany
    • India
    • Japan
    • Norway
    • Portugal
    • Russia
    • Spain
    • South Korea
    • Sweden
    • UK
    • US
  • Total chatbots and chatbot apps accessed, advertising spend, time saved, and associated revenues and savings, split by sector:
    • Banking
    • eCommerce & eRetail
    • Healthcare
    • Social
  • Usage across SMS, web browser, discrete applications, and messaging applications.
  • Interactive Scenario Tool allowing users to manipulate Juniper's data for 11 different metrics.
  • Access to the full set of forecast data of 180 tables and over 32,000 data points.

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. The Chatbot Industry

  • 1.1. Introduction
    • Figure 1.1: Brief History of Chatbots (1966 to present)
  • 1.2. Current Market Status
    • Figure 1.2: Juniper Phased Evolution Model - Messaging Chatbots
  • 1.3. The Chatbot Ecosystem
    • Figure 1.3: Chatbot Market Players
      • i. Case Study: Chatbots for Messenger
      • ii. Weaknesses
    • 1.3.1. The State of AI (Artificial Intelligence) & NLP (Natural Language Processing)
    • 1.3.2. Key Drivers in the Chatbot Market
    • 1.3.3. Issues Facing the Chatbot Market
      • Figure 1.4: Mobile Chatbot Hurdles
  • 1.4. Chatbot Sector Analysis
    • 1.4.1. Chatbots: Key Sectors
      • Figure 1.5: Overview of Chatbots, Developer Platforms & Associated Capabilities
    • 1.4.2. Messaging Applications
      • i. Chatbot OTT Messenger Player Overview
    • 1.4.3. Social Chatbots
      • Figure 1.6: Kanye West Bot on Facebook Messenger
      • Figure 1.7: SimSimi Conversation Deterioration
      • i. Sector Outlook: 2017 & Beyond
    • 1.4.4. Commerce & Retail
      • i. Bot Use for Retail
        • Figure 1.8: Dom the Pizza Bot in Action
        • Figure 1.9: 1-800-FIowers on Facebook Messenger
        • Figure 1.1 0: Bot Offerings: Subway, Cheesecake Factory & Fresh Direct
      • ii. Targeted Offers & Coupons
        • Figure 1.11: Event Navigation - Chat Bot Example
      • iii. Benefits for Businesses
      • iv. Sector Outlook: 2017 & Beyond
    • 1.4.5. Banking & Finance
      • Figure 1.1 2: Mastercard's ‘Masterpass'
      • i. Case Study: American Express: Amex Bot
      • ii. Sector Outlook: 2017 & Beyond
    • 1.4.6. Healthcare
      • Figure 1.13: Louise in Use for Patient Care
      • i. Case Study: NHS
      • ii. Sector Outlook: 2017 & Beyond
    • 1.4.7. Customer Service
      • i. Sector Outlook: 2017 & Beyond
  • 1.5. Chatbot Business Models
    • 1.5.1. Platform Strategies - BaaS (Bots-as-a-Service)
      • Figure 1.14: Chatbot Market- Recent Platform Provider Market Move
      • i. Case Study: Wit.ai
    • 1.5.2. Bot Developer Monetization Strategies
      • i. Hosted Content & Sponsored Advertising
      • ii. Case Study: Kip
      • iii. Subscriptions & Cost-per-conversation Fees
      • iv. VAS (Value Added Services)
      • v. Case Study: Kasisto

2. Total Market Forecasts: Chatbots

  • 2.1. The Total Market for Chatbots
    • 2.1.1. Introduction
    • 2.1.2. Total Chatbots & Chatbot Apps Accessed per Annum
      • Figure & Table 2.1: Total Chatbot & Chatbot Apps Accessed per Annum (m), Split by 8 Key Regions 2017-2022
    • 2.1.3. Total Revenues From Chatbots & Chatbot Applications
      • Figure & Table 2.2: Total Revenues from Chatbots & Chatbot Applications ($m), Split by 8 Key Regions 2017-2022
    • 2.1.4. Total Advertising Spend on Chatbots & Chatbot Applications
      • Figure & Table 2.3: Total Advertising Spend on Chatbots & Chatbot Applications ($m), Split by 8 Key Regions 201 7-2022
    • 2.1.5. Total Cost Savings for Businesses from Chatbots & Chatbots Applications
      • Figure & Table 2.4: Total Cost Savings for Businesses for Chatbots & Chatbots Applications ($m), Split by 8 Key Regions 2017-2022
      • Figure & Table 2.5: Total Cost Savings for Businesses for Chatbots & Chatbots Applications (%), Split by Industry in 2022: $8.3 billion
  • 2.2. The Total Market for Messaging Application Chatbots
    • 2.2.1. Introduction
      • Figure 2.6: Methodology for Messaging Application Chatbots
    • 2.2.2. Total Messaging Application Chatbots Accessed Which See Revenues Generated
      • Figure & Table 2.7: Total Messaging Application Chatbots Accessed per Annum Which See Revenues Generated (m), Split by 8 Key Regions 2017-20
    • 2.2.3. Total Revenues from Messaging Application Chatbots
      • Figure & Table 2.8: Total Revenues from Messaging Application Chatbots ($m), Split by 8 Key Regions 2017-2022
    • 2.2.4. Total Time Saved from Messaging Chatbots
      • Figure & Table 2.9: Total Time Saved from Messaging Application Chatbots (millions of hours), Split by 8 Key Regions 2017-2022
  • 2.3. The Total Market for Discrete Application Chatbots
    • 2.3.1. Introduction
      • Figure 2.10: Methodology for Discrete Application Chatbots
    • 2.3.2. Total Chatbot Enabled Applications Accessed per Annum
      • Figure & Table 2.11: Total Chatbot Enabled Applications Accessed per Annum (m), Split by 8 Key Regions 2017-2022
    • 2.3.3. Total Revenues from Chatbot Enabled Applications..
      • Figure & Table 2.12: Total Revenues from Chatbot Enabled Applications ($m), Split by 8 Key Regions 2017-2022
    • 2.3.4. Total Advertising Spend on Chatbot Enabled Applica
      • Figure & Table 2.13: Total Advertising Spend on Chatbot Enabled Applications ($m), Split by 8 Key Regions 2017-2022
  • 2.4. The Total Market for Web-Based Chatbots
    • 2.4.1. Introduction
      • Figure 2.14: Methodology for Web-Based Chatbots
    • 2.4.2. Total Number of Chatbot Site Visits per Annum
      • Figure & Table 2.15: Total Number of Chatbot Site Visits per Annum (m), Split by 8 Key Regions 2017-2022
    • 2.4.3. Total Retail Spend from Web-based Chatbots
      • Figure & Table 2.16: Total Retail Spend from Web-based Chatbots ($m), Split by 8 Key Regions 2017-2022
    • 2.4.4. Total Time Saved from Web-based Chatbots
      • Figure & Table 2.17: Total Time Saved from Web-based Chatbots in Hours (m), Split by 8 Key Regions 2017-2022
    • 2.4.5 Total Advertising Spend on Web-based Chatbots
      • Figure & Table 2.18: Total Advertising Spend on Web-based Chatbots ($m), Split by 8 Key Regions 2017-2022
  • 2.5. Total Market for SMS Chatbots
    • Figure 2.19: Methodology for SMS Chatbots
    • 2.5.1. Total A2P Messages Sent which are from Chatbot Interactions
      • Figure & Table 2.20: Total Number of A2P Messages Sent as a Result of Chatbot Interactions per Annum (m), Split by 8 Key Regions 2017-2022
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