聊天机器人的全球市场:现状分析与预测(2021年～2027年)

全球聊天机器人的市场规模在预测期间(2021年～2027年)中预计将以约23％的年复合成长率成长。

影响聊天机器人市场增长的主要因素被认为是可以在技术进步和低运营成本下运营的24小时的客户协助。此外聊天机器人可以同时处理成千上万的客户，一年365天，每天24小时可用，并且具有能够即时响应客户查询的优势，这也将推动市场增长。

本报告提供全球聊天机器人市场的相关调查，提供市场洞察，市场趋势，竞争模式，企业概要等全面性资讯。

目录

第1章 市场简介

• 市场定义
• 限制
• 相关利益者
• 报告所使用的货币

第2章 调查方法或假设

• 聊天机器人市场调查流程
• 聊天机器人市场调查手法
• 预测方法
• 受访者简介
• 聊天机器人市场调查的主要目的

第3章 市场摘要

第4章 摘要整理

第5章 聊天机器人市场上COVID-19影响

第6章 聊天机器人市场收益(10亿美元)(2019年～2027年)

第7章 市场洞察:各零件

• 解决方案
• 服务

第8章 市场洞察:各类型

• 规则为基础的
• AI为基础的

第9章 市场洞察:各组织规模

• 大企业
• 中小企业

第10章 市场洞察:各部署

• 内部部署
• 云端

第11章 市场洞察:各应用领域

• 客户服务
• 行动应用程式
• 社群媒体
• 付款/定购处理
• 行销
• 其他

第12章 市场洞察:各业界

• 客户服务
• 行动应用程式
• 社群媒体
• 付款/定购处理
• 行销
• 其他

第13章 市场洞察:各地区

• 北美的聊天机器人市场
  • 美国
  • 加拿大
  • 其他的北美
• 欧洲的聊天机器人市场
  • 德国
  • 英国
  • 法国
  • 义大利
  • 西班牙
  • 其他的欧洲
• 亚太地区的聊天机器人市场
  • 中国
  • 日本
  • 印度
  • 韩国
  • 其他的亚太地区
• 其他

第14章 聊天机器人市场动态

• 推动市场要素
• 市场课题
• 影响分析

第15章 聊天机器人市场机会

第16章 聊天机器人市场趋势

第17章 政策和法规情形

第18章 需求与供给面分析

• 需求面分析
• 供给面分析
  • 主要产品的销售
  • 主要企业的伙伴关係
  • 主要企业的扩大
  • 主要的合併和收购

第19章 价值链分析

第20章 竞争模式

• 波特的五力分析
  • 买主谈判力
  • 供应商谈判力
  • 竞争的激烈程度
  • 新加入厂商者的威胁
  • 替代威胁
• 企业占有率:各收益

第21章 公司概要

• 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 免责声明

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