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市場調查報告書

商品編碼

1574141

AI 聊天機器人市場 – 2024 年至 2029 年預測

AI Chatbot Market - Forecasts from 2024 to 2029

出版日期: 2024年09月27日 | 出版商:

Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

AI聊天機器人市場預計將以24.53%的複合年成長率成長，到2029年市場規模將從2024年的155.72億美元達到466.41億美元。

AI 聊天機器人是一種由人工智慧 (AI) 驅動的虛擬電腦程序，旨在模仿人類在網路上的對話。各種技術和技巧被應用於建立聊天機器人，包括自然語言處理（NLP）和機器學習（ML）。存在不同類別的聊天機器人：基於規則的聊天機器人和自學習的聊天機器人。基於規則的聊天機器人使用明確決定架構，因為它們在處理查詢時需要預先定義規則。另一方面，自學習聊天機器人依靠人工智慧和機器學習從客戶互動中學習並隨著時間的推移改進他們的回應。

企業和公司經常利用聊天機器人來自動化日常活動，同時增強客戶互動。此外，它還可以與行動應用程式和通訊平台整合，為用戶提供快速、輕鬆的資料和服務入口點。例如，它可以整合到電子商務網站中，為用戶提供產品推薦、訂購、運輸追蹤等支援。它還為學生提供快速存取資訊、問題答案和學習過程中的支援。同樣，他們可以幫助公民尋求有關政府服務的資訊，例如更新駕駛執照或納稅。

人工智慧聊天機器人市場促進因素：

自動化需求的成長預計將推動市場成長

人工智慧聊天機器人是一種經濟高效的客戶服務和其他業務流程自動化解決方案，因為它們提供始終線上客戶支援並提供快速回應時間。人工智慧聊天機器人可以同時處理多個客戶交互，減少對員工的需求並降低組織的成本。它還為客戶需求不斷變化的組織提供了靈活的解決方案，因為它可以根據要求向上或向下調整，從而提高業務效率。此外，您可以自動化重複流程並釋放員工來處理更複雜的任務。

此外，它還可以透過收集分析資料、產生銷售線索、透過個人化折扣和推薦來增強客戶參與、訂單追蹤等來幫助電子商務。因此，這種對自動化的渴望正在推動人工智慧聊天機器人市場的擴張。例如，H&M 應用人工智慧聊天機器人來協助客戶進行產品選擇、訂購和出貨追蹤活動。該機器人還解決客戶的常見問題，並提供有關如何處理該問題的提案。

人工智慧聊天機器人市場的地域展望

亞太地區在預測期內將經歷指數級成長

隨著大公司利用聊天機器人進行日常客戶服務，亞太地區的市場預計將擴大。聊天機器人在多個地區的巨大成長潛力可能會為組織帶來巨大的好處，例如提高營運效率、提高客戶滿意度和降低營運費用。由於多種因素，聊天機器人市場可能會大幅成長，包括降低企業營運成本、提高客戶滿意度和提高業務效率的能力。

為什麼要購買這份報告？

富有洞察力的分析：獲得涵蓋關鍵和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業部門和其他子區隔。
競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的策略滲透市場的潛力。
市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何影響未來市場發展。
可行的建議：利用洞察力做出策略決策，在動態環境中釋放新的業務流和收益。
面向廣大受眾：對於新興企業、研究機構、顧問、中小型企業和大型企業有用且具有成本效益。

公司使用我們的報告的目的是什麼？

產業和市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響

調查範圍

2022年至2029年歷史資料與預測
成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
競爭對手的市場狀況、策略與市場佔有率分析
包括國家在內的細分市場和地區的收益成長和預測評估
公司簡介（策略、產品、財務資訊、主要動態等）

AI聊天機器人市場區隔分析如下：

按成分

硬體
軟體和服務

按發展

雲
本地

按行業分類

BFSI
媒體娛樂
教育
零售
衛生保健
其他

按地區

北美洲
美國
加拿大
墨西哥
南美洲
巴西
阿根廷
其他
歐洲
德國
法國
英國
西班牙
其他
中東/非洲
沙烏地阿拉伯
UAE
以色列
其他
亞太地區
中國
日本
印度
韓國
印尼
泰國
台灣
其他

介紹
北美洲
- 按成分
- 按發展
- 按行業分類
- 按國家/地區
南美洲
- 按成分
- 按發展
- 按行業分類
- 按國家/地區
歐洲
- 按成分
- 按發展
- 按行業分類
- 按國家/地區
中東/非洲
- 按成分
- 按發展
- 按行業分類
- 按國家/地區
亞太地區
- 按成分
- 按發展
- 按行業分類
- 按國家/地區

第9章競爭環境及分析

主要企業及策略分析
市場佔有率分析
合併、收購、協議和合作
競爭對手儀表板

第10章公司簡介

IBM
Nuance Communications, Inc.
eGain Corporation
Microsoft Corporation
Google, Inc.（Alphabet Inc.）
Creative Virtual Ltd.
Avaamo Inc.
Amazon Web Services, Inc.
Oracle
LiveChat, Inc.

簡介目錄

Product Code: KSI061614383

The AI chatbot market is expected to grow at a CAGR of 24.53%, reaching a market size of US$46.641 billion in 2029 from US$15.572 billion in 2024.

An AI chatbot is a virtual computer program powered by artificial intelligence (AI) that is made to mimic conversations with human beings through the internet. Different technologies and methods can be applied in building them among which are: natural language processing (NLP) and machine learning (ML). Different categories of chatbots exist, such as rule-based and self-learning. Rule-based chatbots require pre-defined rules in handling queries; therefore, they use explicit decision trees. On the contrary, self-learning chatbots depend on AI and ML to learn from their interactions with customers and improve their responses over time.

Companies and corporations often utilize them for automating mundane activities while enhancing customer interactions. Furthermore, they might be merged with mobile applications and messaging platforms, providing users with swift and easy entry points for data and services. For example, they integrate into e-commerce sites, supporting users through product recommendations, ordering, and tracking delivery. In addition, they also serve students with swift access to information, answer questions, and support the learning process. In the same way, they can support citizens who want information about government services such as renewing driving licenses or paying taxes.

AI chatbot Market Drivers:

Increasing demand for automation is anticipated to propel the market growth

AI chatbots are a cost-effective solution for customer service and other business process automation since they provide customer support at all times, thereby giving fast responses. They can handle multiple customer interactions at the same time to reduce human staff demand and save organizations costs. They are also flexible solutions for organizations with changing customer needs because they can be adjusted up or down depending on requirements, hence increasing operational efficiency. Additionally, they can automate repetitive processes to allow human employees to handle more complex tasks instead.

Furthermore, it contributes to e-commerce by collecting data for analysis, generating leads, and enhancing customer engagement through personalized discounts or recommendations and order tracking, among others. Therefore, this urge towards automation is fueling the AI chatbot market expansion. For example, H&M applies an AI chatbot that assists clients in product selection, ordering, and shipment tracking activities. The bot also solves commonly arising questions from clients and offers directions on how to proceed with an issue.

AI chatbot Market Geographical Outlook

Asia Pacific is witnessing exponential growth during the forecast period

Asia Pacific is anticipated to increase market expansion as large companies utilize chatbots for routine customer service responsibilities. The remarkable growth potential of chatbots in several regions can be related to their huge benefits to organizations, such as increased operational efficiency, improved customer satisfaction, and reduced operational expenses. Due to numerous factors, such as their ability to reduce business running costs, increase customer satisfaction, and enhance operational efficiency, the market for chatbots is likely to grow tremendously.

Reasons for buying this report:-

Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

Historical data & forecasts from 2022 to 2029
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The AI chatbot market is segmented and analyzed as follows:

By Component

Hardware
Software and Services

By Deployment

Cloud
On-Premises

By Industry Vertical

BFSI
Media & Entertainment
Education
Retail
Healthcare
Others

By Geography

North America
USA
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
Germany
France
United Kingdom
Spain
Others
Middle East And Africa
Saudi Arabia
UAE
Israel
Others
Asia Pacific
China
Japan
India
South Korea
Indonesia
Thailand
Taiwan
Others

1. INTRODUCTION

1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Market Segmentation
1.5. Currency
1.6. Assumptions
1.7. Base and Forecast Years Timeline
1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY

2.1. Research Design
2.2. Research Processes

3. EXECUTIVE SUMMARY

3.1. Key Findings
3.2. CXO Perspective

4. MARKET DYNAMICS

4.1. Market Drivers
4.2. Market Restraints
4.3. Porter's Five Forces Analysis
- 4.3.1. Bargaining Power of Suppliers
- 4.3.2. Bargaining Power of Buyers
- 4.3.3. Threat of New Entrants
- 4.3.4. Threat of Substitutes
- 4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
4.5. Analyst View

5. AI CHATBOT MARKET BY COMPONENT

5.1. Introduction
5.2. Hardware
5.3. Software and Services

6. AI CHATBOT MARKET BY DEPLOYMENT

6.1. Introduction
6.2. Cloud
6.3. On-Premises

7. AI CHATBOT MARKET BY INDUSTRY VERTICAL

7.1. Introduction
7.2. BFSI
7.3. Media & Entertainment
7.4. Education
7.5. Retail
7.6. Healthcare
7.7. Others

8. AI CHATBOT MARKET BY GEOGRAPHY

8.1. Introduction
8.2. North America
- 8.2.1. By Component
- 8.2.2. By Deployment
- 8.2.3. By Industry Vertical
- 8.2.4. By Country
  - 8.2.4.1. USA
  - 8.2.4.2. Canada
  - 8.2.4.3. Mexico
8.3. South America
- 8.3.1. By Component
- 8.3.2. By Deployment
- 8.3.3. By Industry Vertical
- 8.3.4. By Country
  - 8.3.4.1. Brazil
  - 8.3.4.2. Argentina
  - 8.3.4.3. Others
8.4. Europe
- 8.4.1. By Component
- 8.4.2. By Deployment
- 8.4.3. By Industry Vertical
- 8.4.4. By Country
  - 8.4.4.1. Germany
  - 8.4.4.2. France
  - 8.4.4.3. United Kingdom
  - 8.4.4.4. Spain
  - 8.4.4.5. Others
8.5. Middle East and Africa
- 8.5.1. By Component
- 8.5.2. By Deployment
- 8.5.3. By Industry Vertical
- 8.5.4. By Country
  - 8.5.4.1. Saudi Arabia
  - 8.5.4.2. UAE
  - 8.5.4.3. Israel
  - 8.5.4.4. Others
8.6. Asia Pacific
- 8.6.1. By Component
- 8.6.2. By Deployment
- 8.6.3. By Industry Vertical
- 8.6.4. By Country
  - 8.6.4.1. China
  - 8.6.4.2. Japan
  - 8.6.4.3. India
  - 8.6.4.4. South Korea
  - 8.6.4.5. Indonesia
  - 8.6.4.6. Thailand
  - 8.6.4.7. Taiwan
  - 8.6.4.8. Others