表紙:チャットボットの世界市場:現状分析と予測(2021年~2027年)
市場調査レポート
商品コード
1096544

チャットボットの世界市場:現状分析と予測(2021年~2027年)

Chatbot Market: Current Analysis and Forecast (2021-2027)

出版日: | 発行: UnivDatos Market Insights Pvt Ltd | ページ情報: 英文 312 Pages | 納期: 即日から翌営業日

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チャットボットの世界市場:現状分析と予測(2021年~2027年)
出版日: 2022年06月01日
発行: UnivDatos Market Insights Pvt Ltd
ページ情報: 英文 312 Pages
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 目次
概要

世界のチャットボットの市場規模は、予測期間(2021年~2027年)中に約23%のCAGRで成長すると予測されています。

チャットボット市場の成長に影響を与える主な要因は、技術の進歩と低い運用コストで運営できる24時間カスタマーアシスタンスと考えられます。さらに、チャットボットは数千人、数百万人の顧客を一度に処理し、24時間365日利用可能で、顧客の問い合わせに即座に回答することができる利点も、市場の成長を促進すると考えられます。

当レポートでは、世界のチャットボット市場について調査しており、市場の洞察、市場の動向、競合シナリオ、企業概要など、包括的な情報を提供しています。

目次

第1章 市場のイントロダクション

  • 市場の定義
  • 制限
  • ステークホルダー
  • レポートで使用される通貨

第2章 調査方法または仮定

  • チャットボット市場の調査プロセス
  • チャットボット市場の調査手法
  • 予測方法
  • 回答者のプロファイル
  • チャットボット市場調査の主な目的

第3章 市場の要約

第4章 エグゼクティブサマリー

第5章 チャットボット市場におけるCOVID-19の影響

第6章 チャットボット市場の収益(10億米ドル)(2019年~2027年)

第7章 市場の洞察:コンポーネント別

  • ソリューション
  • サービス

第8章 市場の洞察:タイプ別

  • ルールベース
  • AIベース

第9章 市場の洞察:組織規模別

  • 大企業
  • 中小企業

第10章 市場の洞察:展開別

  • オンプレミス
  • クラウド

第11章 市場の洞察:アプリケーション別

  • 顧客サービス
  • モバイルアプリケーション
  • ソーシャルメディア
  • 支払/注文処理
  • マーケティング
  • その他

第12章 市場の洞察:業界別

  • 顧客サービス
  • モバイルアプリケーション
  • ソーシャルメディア
  • 支払/注文処理
  • マーケティング
  • その他

第13章 市場の洞察:地域別

  • 北米のチャットボット市場
    • 米国
    • カナダ
    • その他の北米
  • 欧州のチャットボット市場
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • スペイン
    • その他の欧州
  • アジア太平洋のチャットボット市場
    • 中国
    • 日本
    • インド
    • 韓国
    • その他のアジア太平洋
  • その他

第14章 チャットボット市場力学

  • 市場促進要因
  • 市場の課題
  • 影響分析

第15章 チャットボット市場の機会

第16章 チャットボット市場の動向

第17章 政策と規制状況

第18章 需要と供給側分析

  • 需要側分析
  • 供給側分析
    • 主要製品の発売
    • 主要企業のパートナーシップ
    • 主要企業の拡大
    • 主要な合併と買収

第19章 バリューチェーン分析

第20章 競合シナリオ

  • ポーターのファイブフォース分析
    • バイヤーの交渉力
    • サプライヤーの交渉力
    • 競争の激しさ
    • 新規参入者の脅威
    • 代替の脅威
  • 企業シェア:収益別

第21章 会社概要

  • Amazon.com Inc.
  • [24]7.ai
  • Google LLC
  • International Business Machines Corporation
  • Yellow Messenger
  • Gupshup
  • Aivo
  • Conversica Inc.
  • Nuance Communications Inc.
  • Kevit.io

第22章 免責事項

目次
Product Code: UMTI21870

The global chatbot market is likely to showcase a growth of around 23% during the forecast period. Key factors influencing the growth of the chatbot market are technological advancements and 24*7 customer assistance at lower operational costs. With the increasing internet and mobile penetration rate in most countries, the demand for customer support is also increasing according to some data, more than 3.5 billion people are using smartphones and this number is increasing hence the demand for faster customer support is also increasing. Chatbots have the ability to provide quick customer support. Furthermore, chatbots are also able to handle thousands and even millions of customers at once. They are available 24*7, they can provide instant answers to customer queries. Moreover, chatbots can be programmed, for multiple languages also, so can provide answers in different languages and become multilingual.

Insights Presented in the Report

"Amongst type, Rule-based category held prominent market share in 2020"

On the basis of type, the chatbot market is segmented into rule-based and AI-based. Among these, the rule-based segment held a significant share in the global chatbot market. Moreover, rule-based chatbots are well-written programs that use a series of defined rules. These rules are the basis for the types of problems the chatbot is familiar with and can deliver solutions for. Rule-based chatbots can use very simple or complicated rules. They can't, however, answer any questions outside of the defined rules. Further on, it is simpler to create a rule-based chatbot than an AI-based chatbot. This is because rule-based chatbots give answers to the client's questions from a set of predefined rules created from known scenarios. However, AI-based chatbots are expected to witness significant growth during the forecast period due to the automation of frequently performed tasks performed frequently at specific times. 

"Amongst deployment, on-premises category held prominent market share in 2020"

On the basis of deployment, the chatbot market is categorized into on-premises and cloud. Among these on-premises deployment held a significant share of the revenue in the chatbot market in 2020 and will continue to grow at a steady rate during the forecast period. to the data control, customizability, and cost-saving features provided by the on-premises deployment. Moreover, in on-premises deployment, resources and codes are deployed locally.

"Amongst industry, e-commerce category held prominent market share in 2020"

On the basis of industry, the chatbot market is categorized into e-commerce, healthcare, information and communication technology, banking and financial services, consumer goods and retail, media and entertainment, government, and others. The e-commerce segment held a prominent share of the revenue in the chatbot market in 2020 due to the quick queries solution and error-free solution abilities of chatbots. E-Commerce chatbots are rule-based or artificially intelligent programs that online retailer can deploy to connect with their customers throughout the customer journey on the platform. E-Commerce stores can use these chatbots to answer basic or advanced questions about their products on the website or even on messaging platforms like WhatsApp, Instagram, Facebook Messenger, and others. Moreover, bots allow retailers to send content and promotional messages on the touchpoints customers spend the most time on, it creates a powerful omnichannel engagement strategy.

"North America held the prominent share in the market in 2020"

North America accounted for the prominent market share in 2020 and will continue to hold a prominent share in the chatbot market owing to the trend of being an early adopter of the latest technologies and the rising mobile penetration rate. Moreover, being a major hub for startups in the chatbot industry, it accounted for a prominent share of the market in 2020. Many large enterprises are increasingly adopting chatbots in their routine customer service activities. The adequate growth possibilities of chatbots in various regions can be attributed to the significant benefits that it offers to enterprises, such as cost reduction, customer satisfaction, and enhanced operating efficiency. Furthermore, a significant rise in messaging services, and development in natural language processing (NLP) and AI technologies are also expected to play an important role in the growth of the chatbot industry. Further on, highly conversational chatbot apps allow businesses to create a smooth journey for their customers on the platform, as they interact over a wide variety of digital channels and devices.

Some of the major players operating in the market include: Amazon.com Inc., [24]7.ai, Google LLC, International Business Machines Corporation, Yellow Messenger, Gupshup, Aivo, Conversica Inc., Nuance Communications Inc., Kevit.io among others.

Reasons to buy this report:

  • The study includes market sizing and forecasting analysis validated by authenticated key industry experts
  • The report presents a quick review of overall industry performance at one glance
  • The report covers an in-depth analysis of prominent industry peers with a primary focus on key business financials, product portfolio, expansion strategies, and recent developments
  • Detailed examination of drivers, restraints, key trends, and opportunities prevailing in the industry
  • The study comprehensively covers the market across different segments
  • Deep dive country-level analysis of the industry

Customization Options:

The global chatbot market can further be customized as per the requirement or any other market segment. Besides this, UMI understands that you may have your own business needs, hence feel free to connect with us to get a report that completely suits your requirements.

TABLE OF CONTENTS

1 MARKET INTRODUCTION

  • 1.1. Market Definitions
  • 1.2. Limitation
  • 1.3. Stakeholders
  • 1.4. Currency used in Report

2 RESEARCH METHODOLOGY OR ASSUMPTION

  • 2.1. Research Process of the Chatbot Market
  • 2.2. Research Methodology of the Chatbot Market
  • 2.3. Forecasting Method
  • 2.4. Respondent Profile
  • 2.5. Main Objective of the Chatbot Market Study

3 MARKET SYNOPSIS

4 EXECUTIVE SUMMARY

5 CHATBOT MARKET COVID-19 IMPACT

6 CHATBOT MARKET REVENUE (USD BN), 2019-2027F

7 MARKET INSIGHTS BY COMPONENT

  • 7.1. Solutions
  • 7.2. Services

8 MARKET INSIGHTS BY TYPE

  • 8.1. Rule-based
  • 8.2. AI-based

9 MARKET INSIGHTS BY ORGANIZATION SIZE

  • 9.1. Large Enterprises
  • 9.2. SMEs

10 MARKET INSIGHTS BY DEPLOYMENT

  • 10.1. On-Premises
  • 10.2. Cloud

11 MARKET INSIGHTS BY APPLICATION

  • 11.1. Customer Service
  • 11.2. Mobile Applications
  • 11.3. Social Media
  • 11.4. Payments/Order Processing
  • 11.5. Marketing
  • 11.6. Others

12 MARKET INSIGHTS BY INDUSTRY

  • 12.1. Customer Service
  • 12.2. Mobile Applications
  • 12.3. Social Media
  • 12.4. Payments/Order Processing
  • 12.5. Marketing
  • 12.6. Others

13 MARKET INSIGHTS BY REGION

  • 13.1. North America Chatbot Market
    • 13.1.1. U.S.
    • 13.1.2. Canada
    • 13.1.3. Rest of North America
  • 13.2. Europe Chatbot Market
    • 13.2.1. Germany
    • 13.2.2. U.K.
    • 13.2.3. France
    • 13.2.4. Italy
    • 13.2.5. Spain
    • 13.2.6. Rest of Europe
  • 13.3. Asia-Pacific Chatbot Market
    • 13.3.1. China
    • 13.3.2. Japan
    • 13.3.3. India
    • 13.3.4. South Korea
    • 13.3.5. Rest of Asia-Pacific
  • 13.4. Rest of World Chatbot Market

14 CHATBOT MARKET DYNAMICS

  • 14.1. Market Drivers
  • 14.2. Market Challenges
  • 14.3. Impact Analysis

15 CHATBOT MARKET OPPORTUNITIES

16 CHATBOT MARKET TRENDS

17 POLICY AND REGULATORY LANDSCAPE

18 DEMAND AND SUPPLY SIDE ANALYSIS

  • 18.1. Demand Side Analysis
  • 18.2. Supply Side Analysis
    • 18.2.1. Top Product Launches
    • 18.2.2. Top Business Partnerships
    • 18.2.3. Top Business Expansions
    • 18.2.4. Top Merger and Acquisitions

19 VALUE CHAIN ANALYSIS

20 COMPETITIVE SCENARIO

  • 20.1. Porters Fiver Forces Analysis
    • 20.1.1. Bargaining Power of Buyer
    • 20.1.2. Bargaining Power of Supplier
    • 20.1.3. Intensity of Rivalry
    • 20.1.4. Threats of New Entrant
    • 20.1.5. Threat of Substitute
  • 20.2. Company Share Analysis, by Revenue

21 COMPANY PROFILED

  • 21.1. Amazon.com Inc.
  • 21.2. [24]7.ai
  • 21.3. Google LLC
  • 21.4. International Business Machines Corporation
  • 21.5. Yellow Messenger
  • 21.6. Gupshup
  • 21.7. Aivo
  • 21.8. Conversica Inc.
  • 21.9. Nuance Communications Inc.
  • 21.10. Kevit.io

22 DISCLAIMER