首頁 > 市場調查報告書 > 通訊

人工智能

市場調查報告書

商品編碼

1096544

聊天機器人的全球市場:現狀分析與預測(2021年～2027年)

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

出版日期: 2022年06月01日 | 出版商:

UnivDatos Market Insights Pvt Ltd | 英文 312 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

全球聊天機器人的市場規模在預測期間(2021年～2027年)中預計將以約23％的年複合成長率成長。

影響聊天機器人市場增長的主要因素被認為是可以在技術進步和低運營成本下運營的24小時的客戶協助。此外聊天機器人可以同時處理成千上萬的客戶，一年365天，每天24小時可用，並且具有能夠即時響應客戶查詢的優勢，這也將推動市場增長。

本報告提供全球聊天機器人市場的相關調查，提供市場洞察，市場趨勢，競爭模式，企業概要等全面性資訊。

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.

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