查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
對話式人工智慧市場 - 全球和區域分析：按組件、按類型、按技術、按部署、按最終用戶、按地區 - 分析和預測（2024-2034）
市場調查報告書
商品編碼
1496188

對話式人工智慧市場 - 全球和區域分析：按組件、按類型、按技術、按部署、按最終用戶、按地區 - 分析和預測（2024-2034）

Conversational AI Market - A Global and Regional Analysis: Focus on Component, Type, Technology, Deployment, End User, and Region - Analysis and Forecast, 2024-2034
出版日期: | 出版商: BIS Research | 英文 100 Pages | 商品交期: 1-5個工作天內

價格
簡介目錄

由於人工智慧技術在各個領域的日益普及，對話式人工智慧的市場規模正經歷顯著成長。

企業利用對話式人工智慧來增強客戶參與、自動化客戶支援並簡化溝通流程。考慮到樂觀的情況，2024年市場規模估計達到138.6億美元，並預計未來幾年年複合成長率為21.95%，到2034年將達到1008億美元。

主要市場統計資料
預測期 2024-2034
2024年評估 138.6億美元
2034年預測 1008億美元
年複合成長率 21.95%

這種快速成長是由對人工智慧驅動的客戶支援服務不斷成長的需求以及品牌與消費者之間更個人化互動的推動所推動的。自然語言處理、機器學習和計算語言學方面的技術進步進一步實現了更複雜、更有效率的對話式人工智慧平台。該市場的主要參與企業包括 IBM、谷歌、微軟和亞馬遜，它們都在競相透過增強的人工智慧能力和全面的解決方案進行創新並贏得市場佔有率。從財務角度來看，對話式人工智慧市場預計將在未來十年穩定成長。將對話式人工智慧整合到行動應用程式和物聯網設備中預計將開闢新的成長途徑，特別是在金融、醫療保健和電子商務等行業。

對話式人工智慧領域的本地市場顯著成長主要歸功於它為組織提供的高度控制和安全性。擁有敏感資訊的公司（例如金融、醫療保健和政府部門的公司）通常更喜歡本地解決方案來直接管理資料並確保遵守嚴格的監管要求。

此外，本地部署允許公司根據其特定的組織需求和技術環境更廣泛地客製對話式人工智慧系統。這種客製化能力對於需要與現有舊有系統進行獨特整合的大型企業非常重要，而雲端基礎的解決方案很難實現這一點。因此，儘管雲端運算的趨勢不斷成長，但客製化的特定需求，加上資料安全和監管合規性，推動某些行業和大型企業對本地對話式人工智慧解決方案的偏好。

本報告調查了全球對話式人工智慧市場，並依組件、類型、技術、部署、最終用戶、地區和進入市場的公司概況提供了市場概況、趨勢。

目錄

執行摘要

第1章 市場：產業展望

  • 趨勢：當前和未來的影響評估
  • 供應鏈概覽
  • 研發回顧
  • 監管狀況
  • 相關利益者分析
  • 全球重大事件影響分析
  • 市場動態概覽

第2章 對話式人工智慧市場（依應用）

  • 應用細分
  • 應用概述
  • 對話式人工智慧市場（依最終用戶）
  • 對話式人工智慧市場（按實施情況）

第3章 對話式人工智慧市場（依產品）

  • 產品細分
  • 產品概要
  • 對話式人工智慧市場（依組成部分）
  • 對話式人工智慧市場（依類型）
  • 對話式人工智慧市場（依技術）

第4章 對話式人工智慧市場（依地區）

  • 對話式人工智慧市場（依地區）
  • 北美洲
  • 歐洲
  • 亞太地區
  • 其他地區

第5章 公司簡介

  • 未來展望
  • 地理評估
    • Google
    • Microsoft
    • Amazon Web Services, Inc.
    • IBM
    • Oracle
    • Nuance Communications, Inc.
    • FIS
    • SAP SE
    • Artificial Solutions
    • Kore.ai, Inc.
    • Avaamo
    • Conversica, Inc.
    • Solvvy
    • Kasisto
    • Cognigy
    • 其他主要參與企業

第6章 調查方法

簡介目錄
Product Code: DT02120SA

Introduction to Conversational AI Market

The Conversational AI market is experiencing significant growth driven by the increasing adoption of AI technologies across diverse sectors. Enterprises are leveraging conversational AI to enhance customer engagement, automate customer support, and streamline communication processes. Considering the optimistic scenario the market is valued at $13.86 billion in 2024 and is expected to grow at a CAGR of 21.95% to reach $100.80 billion by 2034.

KEY MARKET STATISTICS
Forecast Period2024 - 2034
2024 Evaluation$13.86 Billion
2034 Forecast$100.80 Billion
CAGR21.95%

This surge is fueled by the heightened demand for AI-powered customer support services and the push for more personalized interaction between brands and consumers. Technological advancements in natural language processing, machine learning, and computational linguistics are further enabling more sophisticated and efficient conversational AI platforms. Major players in the market include IBM, Google, Microsoft, and Amazon, all competing to innovate and capture market share through enhanced AI capabilities and comprehensive solutions.Financially, the Conversational AI market is projected to expand robustly over the next decade. The integration of conversational AI into mobile applications and IoT devices is expected to open new avenues for growth, particularly in industries such as finance, healthcare, and e-commerce.

The leading market growth of the on-premise segment in the Conversational AI space can be attributed primarily to the heightened control and security it offers to organizations. Companies handling sensitive information, such as those in finance, healthcare, and government sectors, often prefer on-premise solutions to maintain direct control over their data and ensure compliance with stringent regulatory requirements. For example, financial institutions subject to regulations like GDPR and HIPAA opt for on-premise conversational AI to securely manage customer data internally, without exposing it to the potential vulnerabilities associated with cloud storage.

Additionally, the on-premise deployment allows businesses to customize their conversational AI systems more extensively according to specific organizational needs and technical environments. This customization capability is crucial for large enterprises that require unique integrations with existing legacy systems, which is less feasible with cloud-based solutions. As a result, despite the growing trend towards cloud computing, the specific needs for customization, coupled with data security and regulatory compliance, continue to drive the preference for on-premise conversational AI solutions in certain industries and large organizations.

North America leads the market growth in Conversational AI due to several factors including a robust technological infrastructure, high investment in AI technologies, and a strong presence of leading industry players such as Google, IBM, and Microsoft. The region's businesses are early adopters of advanced technologies aimed at enhancing customer experience and operational efficiencies, driving significant demand for conversational AI applications.

Moreover, the U.S. market shows a high inclination towards innovation and customer service improvements, supported by substantial investments from both private and public sectors in AI research and development. These conditions make North America an ideal environment for the growth and adoption of sophisticated Conversational AI solutions, reinforcing its market leadership.

The conversational AI market is marked by intense competition and rapid innovation, featuring a diverse array of participants ranging from tech giants to niche startups. Leading companies like Google, Microsoft, and Amazon dominate the landscape, leveraging their extensive cloud infrastructures and machine learning prowess to offer scalable solutions. These major players continue to enhance their platforms with advanced natural language processing capabilities and integrations, thus broadening their appeal across various industries including finance, healthcare, and customer service. Strategic acquisitions and partnerships are common strategies used to expand technological capabilities and market reach.

On the other hand, a number of specialized firms and startups are carving out their own spaces by focusing on specific segments of the market, such as enterprise-grade solutions, multilingual support, or industry-specific applications. These companies often emphasize unique features like emotional intelligence, context-aware computing, and proprietary algorithms for better user engagement. The competitive edge for these smaller players lies in their agility and innovative approaches, which enable them to tailor solutions more closely to customer needs. The market is also witnessing a growing trend towards privacy-focused designs and ethical AI, areas that are becoming significant differentiators in the face of increasing regulatory scrutiny and consumer demands for transparency.

Market Segmentation:

Segmentation 1: by Component

  • Solutions
  • Services
    • Managed Services
    • Professional Services

Segmentation 2: by Type

  • Chatbots
  • Intelligent Virtual Assistant (IVA)
  • Others

Segmentation 3: by Technology

  • Natural Language Processing (NLP)
  • ML and Deep Learning
  • Automatic Speech Recognition (ASR)
  • Others

Segmentation 4: by Deployment

  • Cloud
  • On-Premise

Segmentation 5: by End User

  • Banking, Financial Services and Insurance (BFSI)
  • Healthcare
  • IT and Telecom
  • Retail and eCommerce
  • Others

Segmentation 6: by Region

  • North America
  • Europe
  • Asia-Pacific
  • Rest-of-the-World

How can this report add value to an organization?

Product/Innovation Strategy: The global conversational AI market has been extensively segmented based on various categories, such as type, component, deployment, technology, and end user. This can help readers get a clear overview of which segments account for the largest share and which ones are well-positioned to grow in the coming years.

Competitive Strategy: A detailed competitive benchmarking of the players operating in the global conversational AI market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.

Key Market Players and Competition Synopsis

The companies that are profiled have been selected based on thorough secondary research, which includes analyzing company coverage, product portfolio, market penetration, and insights gathered from primary experts.

Some of the prominent companies in this market are:

  • Microsoft
  • Amazon Web Services, Inc.
  • IBM
  • Oracle
  • Conversica, Inc.

Key Questions Answered in this Report:

  • What are the main factors driving the demand for global conversational AI market?
  • How many patents have been filed by the companies active in the global conversational AI market?
  • Who are the key players in the global conversational AI market, and what are their respective market shares?
  • What partnerships or collaborations are prominent among stakeholders in the global conversational AI market?
  • What are the strategies adopted by the key companies to gain a competitive edge in global conversational AI market?
  • What is the futuristic outlook for the global conversational AI market in terms of growth potential?
  • What is the current estimation of the global conversational AI market and what growth trajectory is projected from 2024 to 2034?
  • Which application, and product segment is expected to lead the market over the forecast period (2024-2034)?
  • What could be the impact of growing application in the global conversational AI market?
  • Which regions demonstrate the highest adoption rates for global conversational AI market, and what factors contribute to their leadership?

Table of Contents

Executive Summary

Scope and Definition

Market/Product Definition

Key Questions Answered

Analysis and Forecast Note

1. Markets: Industry Outlook

  • 1.1 Trends: Current and Future Impact Assessment
  • 1.2 Supply Chain Overview
    • 1.2.1 Value Chain Analysis
    • 1.2.2 Pricing Forecast
  • 1.3 R&D Review
    • 1.3.1 Patent Filing Trend by Year, by Country
  • 1.4 Regulatory Landscape
  • 1.5 Stakeholder Analysis
    • 1.5.1 Use Case
    • 1.5.2 End User and Buying Criteria
  • 1.6 Impact Analysis for Key Global Events
  • 1.7 Market Dynamics Overview
    • 1.7.1 Market Drivers
    • 1.7.2 Market Restraints
    • 1.7.3 Market Opportunities

2. Conversational AI Market (by Application)

  • 2.1 Application Segmentation
  • 2.2 Application Summary
  • 2.3 Conversational AI Market (by End User)
    • 2.3.1 Banking, Financial Services and Insurance (BFSI)
    • 2.3.2 Healthcare
    • 2.3.3 IT and Telecom
    • 2.3.4 Retail and eCommerce
    • 2.3.5 Others
  • 2.4 Conversational AI Market (by Deployment)
    • 2.4.1 Cloud
    • 2.4.2 On-Premise

3. Conversational AI Market (by Products)

  • 3.1 Product Segmentation
  • 3.2 Product Summary
  • 3.3 Conversational AI Market (by Component)
    • 3.3.1 Solutions
    • 3.3.2 Service
      • 3.3.2.1 Professional Services
      • 3.3.2.2 Managed Services
  • 3.4 Conversational AI Market (by Type)
    • 3.4.1 Chatbots
    • 3.4.2 Intelligent Virtual Assistant (IVA)
    • 3.4.3 Others
  • 3.5 Conversational AI Market (by Technology)
    • 3.5.1 Natural Language Processing (NLP)
    • 3.5.2 ML and Deep Learning
    • 3.5.3 Automatic Speech Recognition (ASR)
    • 3.5.4 Others

4. Conversational AI Market (by Region)

  • 4.1 Conversational AI Market (by Region)
  • 4.2 North America
    • 4.2.1 Regional Overview
    • 4.2.2 Driving Factors for Market Growth
    • 4.2.3 Factors Challenging the Market
    • 4.2.4 Application
    • 4.2.5 Product
    • 4.2.6 U.S.
      • 4.2.6.1 Market by Application
      • 4.2.6.2 Market by Product
    • 4.2.7 Canada
      • 4.2.7.1 Market by Application
      • 4.2.7.2 Market by Product
    • 4.2.8 Mexico
      • 4.2.8.1 Market by Application
      • 4.2.8.2 Market by Product
  • 4.3 Europe
    • 4.3.1 Regional Overview
    • 4.3.2 Driving Factors for Market Growth
    • 4.3.3 Factors Challenging the Market
    • 4.3.4 Application
    • 4.3.5 Product
    • 4.3.6 Germany
      • 4.3.6.1 Market by Application
      • 4.3.6.2 Market by Product
    • 4.3.7 France
      • 4.3.7.1 Market by Application
      • 4.3.7.2 Market by Product
    • 4.3.8 U.K.
      • 4.3.8.1 Market by Application
      • 4.3.8.2 Market by Product
    • 4.3.9 Italy
      • 4.3.9.1 Market by Application
      • 4.3.9.2 Market by Product
    • 4.3.10 Rest-of-Europe
      • 4.3.10.1 Market by Application
      • 4.3.10.2 Market by Product
  • 4.4 Asia-Pacific
    • 4.4.1 Regional Overview
    • 4.4.2 Driving Factors for Market Growth
    • 4.4.3 Factors Challenging the Market
    • 4.4.4 Application
    • 4.4.5 Product
    • 4.4.6 China
      • 4.4.6.1 Market by Application
      • 4.4.6.2 Market by Product
    • 4.4.7 Japan
      • 4.4.7.1 Market by Application
      • 4.4.7.2 Market by Product
    • 4.4.8 India
      • 4.4.8.1 Market by Application
      • 4.4.8.2 Market by Product
    • 4.4.9 Australia
      • 4.4.9.1 Market by Application
      • 4.4.9.2 Market by Product
    • 4.4.10 Rest-of-Asia-Pacific
      • 4.4.10.1 Market by Application
      • 4.4.10.2 Market by Product
  • 4.5 Rest-of-the-World
    • 4.5.1 Regional Overview
    • 4.5.2 Driving Factors for Market Growth
    • 4.5.3 Factors Challenging the Market
    • 4.5.4 Application
    • 4.5.5 Product
    • 4.5.6 South America
      • 4.5.6.1 Market by Application
      • 4.5.6.2 Market by Product
    • 4.5.7 Middle East and Africa
      • 4.5.7.1 Market by Application
      • 4.5.7.2 Market by Product

5. Companies Profiled

  • 5.1 Next Frontiers
  • 5.2 Geographic Assessment
    • 5.2.1 Google
      • 5.2.1.1 Overview
      • 5.2.1.2 Top Products/Product Portfolio
      • 5.2.1.3 Top Competitors
      • 5.2.1.4 Target Customers
      • 5.2.1.5 Key Personnel
      • 5.2.1.6 Analyst View
      • 5.2.1.7 Market Share
    • 5.2.2 Microsoft
      • 5.2.2.1 Overview
      • 5.2.2.2 Top Products/Product Portfolio
      • 5.2.2.3 Top Competitors
      • 5.2.2.4 Target Customers
      • 5.2.2.5 Key Personnel
      • 5.2.2.6 Analyst View
      • 5.2.2.7 Market Share
    • 5.2.3 Amazon Web Services, Inc.
      • 5.2.3.1 Overview
      • 5.2.3.2 Top Products/Product Portfolio
      • 5.2.3.3 Top Competitors
      • 5.2.3.4 Target Customers
      • 5.2.3.5 Key Personnel
      • 5.2.3.6 Analyst View
      • 5.2.3.7 Market Share
    • 5.2.4 IBM
      • 5.2.4.1 Overview
      • 5.2.4.2 Top Products/Product Portfolio
      • 5.2.4.3 Top Competitors
      • 5.2.4.4 Target Customers
      • 5.2.4.5 Key Personnel
      • 5.2.4.6 Analyst View
      • 5.2.4.7 Market Share
    • 5.2.5 Oracle
      • 5.2.5.1 Overview
      • 5.2.5.2 Top Products/Product Portfolio
      • 5.2.5.3 Top Competitors
      • 5.2.5.4 Target Customers
      • 5.2.5.5 Key Personnel
      • 5.2.5.6 Analyst View
      • 5.2.5.7 Market Share
    • 5.2.6 Nuance Communications, Inc.
      • 5.2.6.1 Overview
      • 5.2.6.2 Top Products/Product Portfolio
      • 5.2.6.3 Top Competitors
      • 5.2.6.4 Target Customers
      • 5.2.6.5 Key Personnel
      • 5.2.6.6 Analyst View
      • 5.2.6.7 Market Share
    • 5.2.7 FIS
      • 5.2.7.1 Overview
      • 5.2.7.2 Top Products/Product Portfolio
      • 5.2.7.3 Top Competitors
      • 5.2.7.4 Target Customers
      • 5.2.7.5 Key Personnel
      • 5.2.7.6 Analyst View
      • 5.2.7.7 Market Share
    • 5.2.8 SAP SE
      • 5.2.8.1 Overview
      • 5.2.8.2 Top Products/Product Portfolio
      • 5.2.8.3 Top Competitors
      • 5.2.8.4 Target Customers
      • 5.2.8.5 Key Personnel
      • 5.2.8.6 Analyst View
      • 5.2.8.7 Market Share
    • 5.2.9 Artificial Solutions
      • 5.2.9.1 Overview
      • 5.2.9.2 Top Products/Product Portfolio
      • 5.2.9.3 Top Competitors
      • 5.2.9.4 Target Customers
      • 5.2.9.5 Key Personnel
      • 5.2.9.6 Analyst View
      • 5.2.9.7 Market Share
    • 5.2.10 Kore.ai, Inc.
      • 5.2.10.1 Overview
      • 5.2.10.2 Top Products/Product Portfolio
      • 5.2.10.3 Top Competitors
      • 5.2.10.4 Target Customers
      • 5.2.10.5 Key Personnel
      • 5.2.10.6 Analyst View
      • 5.2.10.7 Market Share
    • 5.2.11 Avaamo
      • 5.2.11.1 Overview
      • 5.2.11.2 Top Products/Product Portfolio
      • 5.2.11.3 Top Competitors
      • 5.2.11.4 Target Customers
      • 5.2.11.5 Key Personnel
      • 5.2.11.6 Analyst View
      • 5.2.11.7 Market Share
    • 5.2.12 Conversica, Inc.
      • 5.2.12.1 Overview
      • 5.2.12.2 Top Products/Product Portfolio
      • 5.2.12.3 Top Competitors
      • 5.2.12.4 Target Customers
      • 5.2.12.5 Key Personnel
      • 5.2.12.6 Analyst View
      • 5.2.12.7 Market Share
    • 5.2.13 Solvvy
      • 5.2.13.1 Overview
      • 5.2.13.2 Top Products/Product Portfolio
      • 5.2.13.3 Top Competitors
      • 5.2.13.4 Target Customers
      • 5.2.13.5 Key Personnel
      • 5.2.13.6 Analyst View
      • 5.2.13.7 Market Share
    • 5.2.14 Kasisto
      • 5.2.14.1 Overview
      • 5.2.14.2 Top Products/Product Portfolio
      • 5.2.14.3 Top Competitors
      • 5.2.14.4 Target Customers
      • 5.2.14.5 Key Personnel
      • 5.2.14.6 Analyst View
      • 5.2.14.7 Market Share
    • 5.2.15 Cognigy
      • 5.2.15.1 Overview
      • 5.2.15.2 Top Products/Product Portfolio
      • 5.2.15.3 Top Competitors
      • 5.2.15.4 Target Customers
      • 5.2.15.5 Key Personnel
      • 5.2.15.6 Analyst View
      • 5.2.15.7 Market Share
    • 5.2.16 Other Key Players

6. Research Methodology