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市場調查報告書
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全球對話系統市場規模（按類型、應用程式、最終用戶、區域範圍和預測）

Global Conversational Systems Market Size By Type, By Application, By End-Users, and By Geographic Scope And Forecast
出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

對話系統市場規模與預測

預計 2024 年對話系統市場規模將達到 106.5 億美元，到 2032 年將達到 443.8 億美元，2026 年至 2032 年的複合年成長率為 22.6%。

  • 對話系統，有時也稱為聊天機器人或對話代理，是使用自然語言介面以類似人類的方式與使用者交談的電腦程式。
  • 這些系統使用各種技術（包括自然語言處理 (NLP)、機器學習和人工智慧 (AI)）來解釋使用者輸入並產生適當的回應。
  • 對話系統的複雜程度各不相同，從遵循預設腳本的基本規則機器人，到能夠理解語境、捕捉互動並隨時間調整回應的複雜人工智慧機器人。其應用領域廣泛，包括虛擬助理、客戶服務、教育、醫療保健和娛樂。
  • 對話系統透過模擬類似人類的交互，旨在為使用者提供一種流暢有效的方式，讓他們能夠以自然語言與電腦進行交流、獲取資訊、完成活動並獲得幫助。
  • 許多企業使用聊天機器人來解答客戶疑問、提供支援並解決常見問題，從而縮短了顧客關懷回應時間，並促進了更有效率的溝通。電商平台使用聊天機器人協助客戶進行訂單追蹤、產品搜尋、提案和客戶服務。
  • 可以使用對話系統從資料庫、網頁或知識庫中檢索訊息，使用者使用自然語言提出問題，系統傳回適當的答案。

全球對話系統市場動態

影響對話系統市場的關鍵市場動態是：

關鍵市場促進因素

  • 渴望提升客戶體驗：主要驅動力之一是客戶日益渴望與企業進行精簡、個人化的互動。對話系統使企業能夠透過提供全天候支援、客製化建議和快速回應來提升客戶體驗。
  • 通訊應用程式的興起：由於 Facebook Messenger、WhatsApp、微信等通訊應用程式的廣泛使用，對話系統變得越來越流行。企業使用聊天機器人和虛擬助手，利用這些平台與客戶互動，而客戶的大部分時間都花在了這些平台上。
  • 人工智慧 (AI) 和自然語言處理 (NLP) 的發展：這些領域的不斷發展極大地提升了對話系統的功能。這些系統現在能夠更準確地理解和回答自然語言查詢，從而實現更有效率的使用者互動。
  • 降低成本，提高效率：對話系統使企業機會自動化耗時的查詢和任務，從而降低成本並提高生產力。企業可以部署聊天機器人和虛擬助手，無需人工干預即可同時處理大量消費者查詢。
  • 線上服務和電子商務的成長：隨著線上服務和電子商務的擴張，對可擴展且有效的客戶支援解決方案的需求也日益成長。對話系統對於幫助客戶決策、追蹤購買情況以及快速解決問題至關重要。

主要挑戰

  • 自然語言理解 (NLU)：掌握人類語言的精妙之處並非易事。準確地解析、解釋和消除使用者輸入的歧義都是 NLU 的一部分。歧義性、語境敏感度以及語言用法的多樣性是 NLU 的主要障礙。
  • 語境感知：討論通常涵蓋許多不同的角度和主題，需要系統持續保持語境。理解對話的脈絡對於做出恰當且連貫的回應至關重要。
  • 個人化與使用者建模：提供個人化體驗需要根據每個使用者的偏好、過往互動和獨特特徵進行個人化。創建精準的使用者模型並成功應用於即時對話並非易事。
  • 管理歧義與不確定性：人類語言本質上具有歧義性，因此使用者可能會表達不準確或含糊不清。此外，對話系統經常需要處理歧義、資料缺失或需求衝突的情況。
  • 後端系統整合：許多對話系統旨在執行操作或從後端系統（資料庫、API 等）檢索資料。與這些系統整合並保持準確性和響應能力可能頗具挑戰性，尤其是在異質環境下。

主要趨勢：

  • 多模態介面：為了促進超越基於文字的溝通的互動，對話系統擴大採用多模態介面，其中結合語音、手勢、圖形和其他模式來改善使用者體驗並促進更自然的互動。
  • 個人化和情境感知：對話系統正透過利用使用者資料和過往互動來更好地預測使用者需求並客製化回應，變得更加重視情境感知和個人化。使用者建模技術、機器學習和資料分析的發展推動了這一趨勢。
  • 與物聯網 (IoT) 設備的整合：對話系統正在與物聯網設備整合，允許使用者使用自然語言指令與各種智慧型設備進行通訊和控制。由於這種整合，智慧家庭、連網汽車和其他物聯網生態系統正變得越來越熟悉且方便用戶使用。
  • 企業採用：對話系統在職場越來越普遍，用於任務自動化、內部溝通和客戶支援。為了提高效率、改善客戶體驗並提升生產力，企業正在探索聊天機器人、虛擬助理和其他對話介面。
  • 合乎道德且負責任的人工智慧：開發合乎道德且負責任的對話系統已獲得廣泛關注和認可。對於開發者和組織而言，圍繞偏見、公平、透明和隱私的關注已變得愈發重要，他們需要確保對話系統的創建和使用是負責任的。

目錄

第1章 全球對話系統市場簡介

  • 市場概覽
  • 研究範圍
  • 先決條件

第2章執行摘要

第3章：已驗證的市場研究調查方法

  • 資料探勘
  • 驗證
  • 第一手資料
  • 資料來源列表

第4章 全球對話系統市場展望

  • 概述
  • 市場動態
    • 驅動程式
    • 限制因素
    • 機會
  • 波特五力模型
  • 價值鏈分析
  • 法律規範

第5章 全球對話系統市場（按類型）

  • 概述
  • 語音助理
  • 文字助手
  • 其他

第6章 全球對話系統市場（按應用）

  • 概述
  • 石油品牌廣告
  • 客戶支援和私人助理
  • 資料隱私與合規性
  • 其他

第7章 全球對話系統市場（依最終用戶）

  • 概述
  • BFSI
  • 醫療保健與生命科學
  • 媒體與娛樂
  • 零售與電子商務
  • 通訊業
  • 旅遊與飯店
  • 其他

第8章 全球對話系統市場（按地區）

  • 概述
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 拉丁美洲
    • 巴西
    • 阿根廷
  • 世界其他地區

第9章全球對話系統市場的競爭格局

  • 概述
  • 企業市場排名
  • 供應商格局
  • 主要發展策略

第10章 公司簡介

  • IBM Corporation
  • Microsoft Corporation
  • Google LLC（Alphabet Inc.）
  • Amazon Web Services, Inc.
  • Nuance Communications Inc

第11章 重大進展

  • 產品發布/開發
  • 合併與收購
  • 業務擴展
  • 夥伴關係與合作

第12章 附錄

  • 相關調查
簡介目錄
Product Code: 34426

Conversational Systems Market Size and Forecast

Conversational Systems Market size was valued at USD 10.65 Billion in 2024 and is anticipated to reach USD 44.38 Billion by 2032, growing at a CAGR of 22.6% from 2026 to 2032.

  • Conversational systems, sometimes referred to as chatbots or conversational agents, are computer programs created to converse with users in a manner akin to that of a human using natural language interfaces.
  • These systems interpret user inputs and produce relevant responses using a variety of methods from natural language processing (NLP), machine learning, and artificial intelligence (AI).
  • The complexity of conversational systems can vary, from basic rule-based bots that adhere to preset scripts to sophisticated AI-powered bots that are able to comprehend context, pick up on interactions, and modify their responses over time. Applications for them are numerous and include virtual assistants, customer service, education, healthcare, entertainment, and more.
  • By simulating human-like interactions, conversational systems aim to give users a smooth and effective means to communicate in natural language with computers, get information, complete activities, and get help.
  • Chatbots are used by many companies to answer questions from customers, offer support, and help with frequent problems. This facilitates faster customer care response times and more efficient communication. E-commerce platforms use chatbots to help customers with order tracking, product search, suggestions, and customer service.
  • Information can be retrieved from databases, webpages, or knowledge bases using conversational systems. Natural language inquiries from users are accepted, and pertinent responses are returned by the system.

Global Conversational Systems Market Dynamics

The key market dynamics that are shaping the conversational systems market include:

Key Market Drivers:

  • Desire for Improved Customer Experience: One of the main motivators is the growing customer desire for streamlined and customized company interactions. Through the use of conversational systems, businesses can improve the customer experience by offering 24/7 support, customized advice, and prompt responses.
  • Rise of Messaging Apps: Conversational systems have become increasingly popular as a result of the extensive use of messaging apps like Facebook Messenger, WhatsApp, and WeChat. Using chatbots and virtual assistants, businesses use these platforms to interact with customers on the places where they already spend a lot of time.
  • Developments in Artificial Intelligence (AI) and Natural Language Processing (NLP): The capabilities of conversational systems have been greatly enhanced by ongoing developments in these fields. These systems can now comprehend natural language inquiries more precisely and reply to them, resulting in more productive user interactions.
  • Cost Savings and Efficiency: Conversational systems give companies the chance to automate time-consuming queries and tasks, which reduces costs and boosts productivity. Businesses may handle a lot of consumer inquiries at once without requiring human assistance by implementing chatbots and virtual assistants.
  • Growth of Online Services and E-Commerce: As online services and e-commerce have expanded, there is an increasing need for scalable and effective customer support solutions. In order to let customers make judgments about what to buy, track purchases, and quickly handle problems, conversational systems are essential.

Key Challenge:

  • Natural Language Understanding (NLU): It's difficult to grasp the subtleties of human language. Accurately parsing, interpreting, and disambiguating user input are all part of NLU. Significant obstacles are presented by ambiguity, context-dependence, and variances in language usage.
  • Context Awareness: Discussions frequently cover a variety of angles and subjects, necessitating the continuous maintenance of context by systems. It is essential to comprehend the conversation's context in order to respond appropriately and coherently.
  • Personalization and User Modeling: Providing a personalized experience requires responding to each user individually based on their preferences, past interactions, and unique traits. It can be difficult to create precise user models and apply them successfully in real-time talks.
  • Managing Ambiguity and Uncertainty: Users may express themselves in an imprecise or vague manner due to the inherent ambiguity of human language. Furthermore, conversational systems frequently have to handle ambiguity, missing data, or contradicting requirements.
  • Backend System Integration: A lot of conversational systems are made to carry out operations or get data from backend systems (such databases and APIs). It can be difficult to integrate with these systems and retain precision and responsiveness, particularly in heterogeneous situations.

Key Trends:

  • Multimodal Interfaces: In order to facilitate interactions beyond text-based communication, conversational systems are progressively incorporating multimodal interfaces. To improve user experience and promote more natural interactions, voice, gestures, graphics, and other modalities were being included.
  • Personalization and Context Awareness: By utilizing user data and previous interactions to better predict user wants and customize responses, conversational systems are becoming more contextually aware and personalized. The development of user modelling methods, machine learning, and data analytics propelled this trend.
  • Integration with Internet of Things (IoT) Devices: Conversational systems are being integrated with IoT devices, allowing users to communicate and operate a variety of smart gadgets using natural language instructions. Smart homes, linked vehicles, and other IoT ecosystems were becoming more approachable and user-friendly as a result of this integration.
  • Adoption in the Enterprise: Conversational systems were becoming more and more popular in the workplace, where they were being utilized for task automation, internal communication, and customer support. In an effort to increase efficiency, improve customer experiences, and increase productivity, businesses were investigating chatbots, virtual assistants, and other conversational interfaces.
  • Ethical and Responsible AI: The development of conversational systems with ethics and responsibility has gained attention and awareness. Concerns of prejudice, fairness, transparency, and privacy were becoming more important to developers and organizations in order to make sure that conversational systems were created and used responsibly.

Global Conversational Systems Market Regional Analysis

Here is a more detailed regional analysis of the conversational systems market:

Asia-Pacific

  • The Asia-Pacific area has witnessed a notable upsurge in e-commerce and digitization, which has therefore raised the need for conversational systems to improve customer support, streamline procedures, and offer tailored experiences.
  • Artificial intelligence (AI) and natural language processing (NLP) technologies have attracted significant investment from both tech giants and startups in nations like China and India, propelling advancements in conversational systems. These developments draw additional funding, which propels market expansion.
  • The Asia-Pacific area is home to a wide variety of languages and dialects that are spoken in various nations. This diversity drives innovation in multilingual natural language processing (NLP) by creating a need for conversational systems that can comprehend and respond in different languages.

North America

  • For many North Americans, virtual assistants such as Cortana, Alexa, Google Assistant, and Siri are becoming more and more ingrained in their daily lives. By using conversational systems to carry out activities, give consumers information, and operate smart devices, these platforms raise user awareness and encourage adoption of conversational AI technology.
  • Conversational systems are becoming more and more popular in North America as a means of improving customer assistance and service for businesses of all kinds. Chatbots and virtual assistants can improve customer happiness and loyalty by responding to consumer concerns instantly, automating repetitive chores, and making personalized recommendations.
  • Significant investment in artificial intelligence (AI) and associated technologies is drawn to North America, where it supports a thriving ecosystem of startups, research projects, and corporate innovation centers devoted to the development of conversational systems. This investment stimulates the creation of fresh features, applications, and solutions, which propels the market's continued growth.

Global Conversational Systems Market Segmentation Analysis

The Global Conversational Systems Market is segmented on the basis of Type, Application, End-Users, and Geography.

Conversational Systems Market, By Type

  • Voice Assisted
  • Text Assisted
  • Other Types

Based on Type, the market is segmented into Voice Assisted, Text Assisted, and Other Types. During the projected period, voice-assisted services are anticipated to grow at the fastest rate. Businesses frequently utilize voice-assisted conversational systems to identify words or phrases in user-spoken language and then transform this data into a machine-readable format.

Conversational Systems Market, By Application

  • Oil Branding & Advertisement
  • Customer Support & Personal Assistant
  • Data Privacy & Compliance
  • Others

Based on Application, the market is segmented into Oil Branding & Advertisement, Customer Support & Personal Assistant, Data Privacy & Compliance, and others. The market for branding and advertising is anticipated to grow the fastest during the forecasted period. Businesses are using this digital medium to spread awareness of their products and publish advertisements about the newest and best ones.

Conversational Systems Market, By End-Users

  • Banking, Finance Services and Insurances (BFSI)
  • Healthcare & Life Sciences
  • Media & Entertainment
  • Retail & E-commerce
  • Telecommunication
  • Travel & Hospitality
  • Others

Based on End-Users, the market is segmented into BFSI, Healthcare & Life Sciences, Media & Entertainment, Retail & E-commerce, Telecommunication, Travel & Hospitality, and Others. The retail and e-commerce categories are anticipated to grow the fastest during the forecasted period. The retail and eCommerce sectors are embracing conversational technologies as they hold provide live chat support at points of sale and influence client purchasing decisions with related recommendations.

Conversational Systems Market, By Geography

  • North America
  • Europe
  • Asia Pacific
  • Rest of the world
  • On the basis of Geography, the Global Conversational Systems Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. Over the course of the prediction, the Asia Pacific area is expected to grow the fastest. The expansion of rising economies like China and India is due to their increased usage of technology.

Key Players

The "Global Conversational Systems Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are IBM Corporation, Microsoft Corporation, Google LLC (Alphabet Inc.), Amazon Web Services, Inc., Nuance Communications Inc, and other prominent manufacturers operating in the market.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis.

  • Conversational Systems Market Recent Developments
  • In December 2022, TTEC Holdings, Inc., one of the largest global customer experiences (CX) technology and services innovators for end-to-end digital CX solutions, announced that VoiceFoundry, a TTEC Digital company, has earned the Amazon Web Services (AWS) Conversational Artificial Intelligence (AI) Competency. This award highlights VoiceFoundry's competence in creating high-quality, high-performance chatbots, virtual assistants, and interactive voice response (IVR) systems.
  • In October 2022, IBM expanded its embeddable AI software portfolio by releasing three new libraries designed to let IBM Ecosystem partners, customers, and developers build and market their AI-powered products more easily, rapidly, and cost-effectively. The AI libraries, now generally available, were developed in IBM Research and were designed to provide independent software vendors (ISVs) across industries with an easily scalable way to build natural language processing, speech-to-text, and text-to-speech capabilities into applications across any hybrid, multi-cloud environment.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL CONVERSATIONAL SYSTEMS MARKET

  • 1.1 Overview of the Market
  • 1.2 Scope of Report
  • 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

  • 3.1 Data Mining
  • 3.2 Validation
  • 3.3 Primary Interviews
  • 3.4 List of Data Sources

4 GLOBAL CONVERSATIONAL SYSTEMS MARKET OUTLOOK

  • 4.1 Overview
  • 4.2 Market Dynamics
    • 4.2.1 Drivers
    • 4.2.2 Restraints
    • 4.2.3 Opportunities
  • 4.3 Porters Five Force Model
  • 4.4 Value Chain Analysis
  • 4.5 Regulatory Framework

5 GLOBAL CONVERSATIONAL SYSTEMS MARKET, BY TYPE

  • 5.1 Overview
  • 5.2 Voice Assisted
  • 5.3 Text Assistant
  • 5.4 Others

6 GLOBAL CONVERSATIONAL SYSTEMS MARKET, BY APPLICATION

  • 6.1 Overview
  • 6.2 Oil Branding & Advertisement
  • 6.3 Customer Support & Personal Assistant
  • 6.4 Data Privacy & Compliance
  • 6.5 Others

7 GLOBAL CONVERSATIONAL SYSTEMS MARKET, BY END-USERS

  • 7.1 Overview
  • 7.2 BFSI
  • 7.3 Healthcare & Life Sciences
  • 7.4 Media & Entertainment
  • 7.5 Retail & E-commerce
  • 7.6 Telecommunication
  • 7.7 Travel & Hospitality
  • 7.8 Others

8 GLOBAL CONVERSATIONAL SYSTEMS MARKET, BY GEOGRAPHY

  • 8.1 Overview
  • 8.2 North America
    • 8.2.1 U.S.
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 U.K.
    • 8.3.3 France
    • 8.3.4 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 China
    • 8.4.2 Japan
    • 8.4.3 India
    • 8.4.4 Rest of Asia Pacific
  • 8.5 Latin America
    • 8.5.1 Brazil
    • 8.5.2 Argentina
  • 8.6 Rest of the World

9 GLOBAL CONVERSATIONAL SYSTEMS MARKET COMPETITIVE LANDSCAPE

  • 9.1 Overview
  • 9.2 Company Market ranking
  • 9.3 Vendor Landscape
  • 9.4 Key Development Strategies

10 COMPANY PROFILES

  • 10.1 IBM Corporation
    • 10.1.1 Overview
    • 10.1.2 Financial Performance
    • 10.1.3 Product Outlook
    • 10.1.4 Key Developments
  • 10.2 Microsoft Corporation
    • 10.2.1 Overview
    • 10.2.2 Financial Performance
    • 10.2.3 Product Outlook
    • 10.2.4 Key Developments
  • 10.3 Google LLC (Alphabet Inc.)
    • 10.3.1 Overview
    • 10.3.2 Financial Performance
    • 10.3.3 Product Outlook
    • 10.3.4 Key Developments
  • 10.4 Amazon Web Services, Inc.
    • 10.4.1 Overview
    • 10.4.2 Financial Performance
    • 10.4.3 Product Outlook
    • 10.4.4 Key Developments
  • 10.5 Nuance Communications Inc
    • 10.5.1 Overview
    • 10.5.2 Financial Performance
    • 10.5.3 Product Outlook
    • 10.5.4 Key Developments

11 KEY DEVELOPMENTS

  • 11.1 Product Launches/Developments
  • 11.2 Mergers and Acquisitions
  • 11.3 Business Expansions
  • 11.4 Partnerships and Collaborations

12 APPENDIX

  • 12.1 Related Research