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チャットボット:ベンダーの機会 & 市場予測 (2020-2024年)

Chatbots: Vendor Opportunities & Market Forecasts 2020-2024

発行 Juniper Research Ltd 商品コード 928092
出版日 ページ情報 英文
納期: 即日から翌営業日
価格
本日の銀行送金レート: 1GBP=139.43円で換算しております。
チャットボット:ベンダーの機会 & 市場予測 (2020-2024年) Chatbots: Vendor Opportunities & Market Forecasts 2020-2024
出版日: 2020年03月10日 ページ情報: 英文
概要

当レポートでは、チャットボット市場について包括的に調査し、市場の現況の分析、コスト削減の可能性、サービスに対する消費者の信頼、およびチャットボットへの支出など市場の詳細な評価、Juniper Research Leaderboardを用いたベンダー分析などを提供しています。

主な調査内容

  • 部門別の影響分析:6つの主要垂直産業におけるチャットボット導入の影響分析
    • 銀行 & 金融
    • eコマース & 小売り
    • ヘルスケア
    • 人事
    • 保険
    • 旅行、観光 & ホスピタリティ
  • 産業予測のベンチマーク:ウェブブラウザ・ディスクリートアプリケーション・メッセージングアプリケーションに搭載されたチャットボット、以下の指標を定量化
    • チャットボットの利用
    • アプリ内購入
    • 広告費
    • ビジネスのコスト節約
    • エンドユーザーの時間節約
  • チャットボット市場のダイナミクス:発展するチャットボット情勢の詳細分析
    • チャットボットのエコシステムにおける主な発展
    • チャットボットの進化・取り込みを支える促進要因
    • チャットボット市場における現在・将来の課題
  • Juniper Research Leaderboard:製品概要、将来の戦略、およびAI機能を含む、チャットボットの開発を促進するチャットボット開発ツールベンダー15社の詳細分析
    • Botsify
    • Chatfuel
    • Conversable
    • FlowXO
    • Google Dialogflow
    • Gupshup
    • IBM Watson
    • Kasisto
    • ManyChat
    • Massively.ai
    • Microsoft
    • Octane AI
    • Pandorabots
    • Rasa
    • Reply.ai
目次

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