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市場調查報告書

聊天機器人:供應商機會 & 市場預測 (2020-2024年)

Chatbots: Vendor Opportunities & Market Forecasts 2020-2024

出版商 Juniper Research Ltd 商品編碼 928092
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
價格
聊天機器人:供應商機會 & 市場預測 (2020-2024年) Chatbots: Vendor Opportunities & Market Forecasts 2020-2024
出版日期: 2020年03月10日內容資訊: 英文
簡介

本報告綜合研究聊天機器人市場,彙整市場現況分析、降低成本的可能性、消費者對服務的信賴、聊天機器人支出等市場詳細評估,並透過Juniper Research Leaderboard提供供應商分析等情報。

主要研究內容

  • 按部門的影響分析:6大主要垂直產業中導入聊天機器人的影響分析
    • 銀行和金融
    • 電子商務和零售
    • 醫療保健
    • 人力資源
    • 保險
    • 旅行、觀光 & 服務招待業
  • 產業預測基準:網頁瀏覽器、獨立應用、訊息應用中搭載聊天機器人;定量化以下指標
    • 聊天機器人的使用
    • 應用程式內購買
    • 廣告支出
    • 節約業務成本
    • 末端使用者的時間節省
  • 聊天機器人市場動態:深入分析不斷演進的聊天機器人情勢
    • 聊天機器人生態系統主要發展
    • 聊天機器人進化和攝入的背後推動因素
    • 聊天機器人市場的目前與未來挑戰
  • Juniper Research Leaderboard:深入分析15家推動聊天機器人開發的聊天機器人開發工具供應商,包含產品概要、未來策略、AI功能
    • Botsify
    • Chatfuel
    • Conversable
    • FlowXO
    • Google Dialogflow
    • Gupshup
    • IBM Watson
    • Kasisto
    • ManyChat
    • Massively.ai
    • Microsoft
    • Octane AI
    • Pandorabots
    • Rasa
    • Reply.ai
目錄

Overview

Juniper Research's new ‘Chatbots ’ research investigates the current state of the market; providing a comprehensive examination of this sector. The research provides an in-depth assessment of the chatbot market; evaluating potential for cost savings, consumer trust in services, and spend on chatbots.

The study also contains insightful player analysis of leading Chatbot Development Tool vendors, alongside key expectations for stakeholders in the industry and Juniper Research's Vendor Leaderboard; focusing on AI criterion.

The research gives in-depth coverage of the following key markets:

  • Banking & Finance
  • eCommerce & Retail
  • Healthcare
  • Human Resources
  • Insurance
  • Travel, Tourism & Hospitality

The research includes:

  • Market Trends & Opportunities (PDF)
  • 5-Year Market Sizing & Forecast Spreadsheet (Excel)
  • 12 months' Access to harvest Online Data Platform

Key Features

  • Sector Impact Analysis: Considers the impact of chatbot implementation for 6 key industry verticals, including:
    • Banking & Finance
    • eCommerce & Retail
    • Healthcare
    • Human Resources
    • Insurance
    • Travel, Tourism & Hospitality
  • Benchmark Industry Forecasts: Provided by chatbots embedded in web browsers, discrete applications and messaging applications; quantifying the following indicators:
    • Chatbot Usage
    • In-app Purchases
    • Advertising Spend
    • Cost Savings for Businesses
    • End User Time Savings
  • Chatbot Market Dynamics: In-depth analysis of the evolving chatbot landscape, including:
    • Key developments in the chatbot ecosystem
    • Driving forces behind chatbot evolution and uptake
    • Present and future challenges to the chatbot market
  • Juniper Research Leaderboard: In-depth analysis of 15 Chatbot Development Tools vendors driving chatbot development, including product overviews, future strategies and AI capabilities:
    • Botsify
    • Chatfuel
    • Conversable
    • FlowXO
    • Google Dialogflow
    • Gupshup
    • IBM Watson
    • Kasisto
    • ManyChat
    • Massively.ai
    • Microsoft
    • Octane AI
    • Pandorabots
    • Rasa
    • Reply.ai

Key Questions

  • 1. Which chatbot developers are currently leading the market?
  • 2. Which technologies will be essential to maximise future success in the chatbot market?
  • 3. What is the potential for leveraging advertising on chatbots over the next 5 years?
  • 4. What are the key market forces impacting the chatbot market?
  • 5. What will the value of the chatbot industry be in 2024?

Data & Interactive Forecast

Juniper Research's ‘Chatbot’ forecast suite includes:

  • Data splits for 8 key global regions and 16 countries, including:
    • Brazil
    • Canada
    • China
    • Denmark
    • France
    • Germany
    • India
    • Japan
    • Norway
    • Portugal
    • Russia
    • Spain
    • South Korea
    • Sweden
    • UK
    • US
  • Total Value of the Chatbot Market, with technology splits including:
    • Discrete Application Chatbots
    • Messaging Application Chatbots
    • Web-browser Chatbots
  • For messaging application, discrete application and web-browser chatbots, the data is split by key industry verticals:
    • Banking
    • eCommerce
    • Healthcare
    • Retail
    • Social
  • Interactive Scenario Tool allowing users to manipulate Juniper Research's data for 10 different metrics.
  • Access to the full set of forecast data, containing 172 tables and over 30,500 datapoints.

Juniper Research's highly granular IFxls (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. Market Status, Trends & Ecosystem

  • 1.1. Introduction
    • 1.2.1. Far East & China Dominates 2019
      • Figure 1.1: Global Chatbot Usage & Adoption Snapshot, 2019
    • 1.2.2. Cost Savings in 2019
    • 1.2.3. Segment Performance in 2019
  • 1.3. The Chatbot Ecosystem
    • 1.3.1. Natural Language Processing & Natural Language Understanding
    • 1.3.2. Conversational AI Maturity Levels: Scripted to Contextual
      • i. Scripted Chatbots
      • ii. NLP Chatbots
      • iii. Contextual Chatbots
    • 1.3.3. Chatbot Deployment Platforms & Chatbot Development Tools: An Overview
      • Figure 1.2: An Example of the Chatbot Ecosystem
    • 1.3.4. Key Drivers in the Chatbot Market
    • 1.3.5. Issues Facing the Chatbot Market
      • Figure 1.3: The Uncanny Valley
    • 1.3.6. The State of AI
      • Case Study: Google Duplex

2. Market Prospects: Chatbot Sector Analysis

  • 2.1. Chatbot Sector Analysis Summary
    • 2.1.1. Banking & Finance
      • Case Study: ila Bank
    • 2.1.2. eCommerce & Retail
    • 2.1.3. Healthcare
      • Case Study: Woebot
    • 2.1.4. Travel, Tourism & Hospitality
      • Case Study: Bebot
    • 2.1.5. Human Resources
    • 2.1.6. Insurance
  • 2.2. Criteria Analysis
    • 2.2.1. Banking & Finance
      • i. Monetisation Opportunities
      • ii. Potential User Base
        • Figure 2.1: Number of Active Online Banking Individuals (m), Split by 8 Key Regions 2019-2024
      • iii. Consumer Trust
      • iv. Cost Savings Impact
      • v. Regulations
    • 2.2.2. eCommerce & Retail
      • i. Monetisation Opportunities
      • ii. Potential User Base
        • Figure 2.2: Number of Adults Ages 15+ Who Access Commerce & Retail Websites (m). Split by 8 Key Regions 2019-2024
      • iii. Consumer Trust
      • iv. Cost Savings Impact
      • v. Regulations
    • 2.2.3. Healthcare
      • i. Monetisation Opportunities
      • ii. Potential User Base
        • Figure 2.3: Total Number of Visits to Online Healthcare Sites per Annum (m) Split by 8 Key Regions 2019-2024
      • iii. Consumer Trust
      • iv. Cost Savings Impact
      • v. Regulations
    • 2.2.4. Human Resources
      • i. Monetisation Opportunities
      • ii. Potential User Base
      • iii. Consumer Trust
      • iv. Cost Savings Impact
      • v. Regulations
        • Case Study: ‘Dottie' by Domino's
    • 2.2.5. Insurance
      • i. Monetisation Opportunities
      • ii. Potential User Base
      • iii. Consumer Trust
      • iv. Cost Savings Impact
      • v. Regulations
    • 2.2.6. Travel, Tourism & Hospitality
      • i. Monetisation Opportunities
      • ii. Potential User Base
      • iii. Consumer Trust
      • iv. Cost Savings Impact
      • v. Regulations

3. Competitive Landscape: Key Player Analysis & Positioning

  • 3.1. Vendor Analysis & Leaderboard Introduction
    • 3.1.1. Stakeholder Assessment Criteria
      • Table 3.1: Leaderboard Capability & Positioning Criteria for CDT Players
      • Figure 3.2: Juniper Research Leaderboard for CDT Vendors
      • Table 3.3: CDT Vendor Leaderboard Scoring Heatmap
    • 3.1.2. Chatbots: Vendor Groupings
      • i. Established Leaders
      • ii. Leading Challengers
      • iii. Disruptors & Emulators
    • 3.1.3. Limitations & Interpretation
  • 3.2. Chatbots: Vendor Profiles
    • 3.2.1. Botsify
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.2.2. Chatfuel
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.2.3. Conversable
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.2.4. Flow XO
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.2.5. Google Dialogflow
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.2.6. Gupshup
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.2.7. IBM Watson
      • i. Corporate
        • Table 3.4: IBM Select Financial Information 2017-2019
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.2.8. Kasisto
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.2.9. ManyChat
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.2.10. Massively.ai
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.2.11. Microsoft
      • i. Corporate
        • Table 3.5: Microsoft Select Financial Information ($bn) 2018-2019
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.2.12. Octane AI
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.2.13. Pandorabots
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.2.14. Rasa
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.2.15. Reply.ai
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities

4. Chatbots: Market Sizing & Forecasts

  • 4.1 Chatbots Market Summary
    • Figure 4.1: Chatbots Forecast Split
    • 4.1.1. Total Number of Chatbots Accessed Per Annum
      • Figure & Table 4.2: Total Number of Chatbots & Chatbot Apps Accessed per annum (m), Split by 8 Key Regions 2019-2024
    • 4.1.2. Total Retail Spend on Chatbots & Chatbot Applications
      • Figure & Table 4.3: Total Retail Spend over Chatbots & Chatbot Applications ($m), Split by 8 Key Regions 2019-2024.
    • 4.1.3. Total Advertising Spend on Chatbots & Chatbot Applications
      • Figure & Table 4.4: Total Advertising Spend on Chatbots & Chatbot Applications ($m), Split by 8 Key Regions 2019-2024
    • 4.1.4. Cost Savings for Businesses
      • Figure & Table 4.5: Total Cost Savings for Businesses for Chatbots & Chatbot Applications ($m), Split by 8 Key Regions 2019-2024
  • 4.2. The Total Marketing for Messaging Application Chatbots
    • 4.2.1. Introduction
      • Figure 4.6: Methodology for Messaging Application Chatbots
    • 4.2.2. Total Number of Messaging App Chatbots Accessed Per Annum
      • Figure & Table 4.7: Total Number of Chatbots Accessed per annum (m) Split by Key Regions 2019-2024
    • 4.2.3. Total Number of Messaging App Chatbots that Generate Revenue
      • Figure & Table 4.8: Total Number of Messaging App Chatbots that Generate Revenue (m), Split by 8 Key Regions 2019-2024
    • 4.2.4. Total Spend from Messaging Application Chatbots
      • Figure & Table 4.9: Total Spend from Messaging Application Chatbots ($m), Split by 8 Key Regions 2019-2024
    • 4.2.5. Total Time Saved by Messaging Chatbots
      • Figure & Table 4.10: Total Time Saved by Messaging Application Chatbots (millions of hours), Split by 8 Key Regions 2019- 2024
  • 4.3. The Total Market for Discrete Application Chatbots
    • 4.3.1. Introduction
      • Figure 4.11: Methodology for Discrete Application Chatbots
    • 4.3.2. Total Number of Chatbot-enabled Applications Accessed Per Annum
      • Figure & Table 4.12: Total Chatbot-enabled Applications Accessed per annum (m), Split by 8 Key Regions 2019-2024
    • 4.3.3. Total Retail Spend from Chatbot-enabled Applications
      • Figure & Table 4.13: Total Retail Spend from Chatbot-enabled Applications ($m), Split by 8 Key Regions 2019-2024
    • 4.3.4. Total Advertising Spend on Chatbot-enabled Applications
      • Figure & Table 4.14: Total Advertising Spend on Chatbot-enabled Applications ($m), Split by 8 Key Regions 2019-2024
  • 4.4. The Total Market for Web-based Chatbots
    • Figure 4.15: Web-based Chatbots Forecast Methodology
    • 4.4.1. Total Number of Website Visits that are Chatbot-enabled
      • Figure & Table 4.16: Total Number of Chatbot Site Visits per annum (m), Split by 8 Key Regions 2019-2024
    • 4.4.2. Total Retail Spend from Web-based Chatbots
      • Figure & Table 4.17: Total Retail Spend from Web-based Chatbots ($m), Split by 8 Key Regions 2019-2024
    • 4.4.3. Total Advertising Spend on Web-based Chatbots
      • Figure & Table 4.18: Total Advertising Spend on Web-based Chatbots ($m), Split by 8 Key Regions 2019-2024
    • 4.4.4. Total Time Saved from Web-based Chatbots
      • Figure & Table 4.19: Total Time Saved from Web-based Chatbots in Hours (m), Split by 8 key Regions 2019-2024