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会話型AI市場 - 世界および地域別分析：コンポーネント別、タイプ別、技術別、展開別、エンドユーザー別、地域別 - 分析と予測（2024年～2034年）

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
発行
BIS Research
ページ情報
英文 100 Pages
納期
1～5営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.99円
会話型AI市場 - 世界および地域別分析：コンポーネント別、タイプ別、技術別、展開別、エンドユーザー別、地域別 - 分析と予測（2024年～2034年）
出版日: 2024年06月18日
発行: BIS Research
ページ情報: 英文 100 Pages
納期: 1～5営業日
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概要

会話型AIの市場規模は、多様な分野でAI技術の採用が増加していることを背景に、大きな成長を遂げています。

企業は、顧客エンゲージメントの強化、カスタマーサポートの自動化、コミュニケーションプロセスの合理化のために会話型AIを活用しています。楽観的シナリオを考慮すると、2024年の市場規模は138億6,000万米ドルと見込まれ、今後21.95%のCAGRで拡大し、2034年には1,008億米ドルに達すると予測されています。

主要市場統計
予測期間 2024-2034
2024年評価 138億6,000万米ドル
2034年予測 1,008億米ドル
CAGR 21.95%

この急成長の背景には、AIを活用したカスタマーサポートサービスに対する需要の高まりと、ブランドと消費者のよりパーソナライズされた対話の推進があります。自然言語処理、機械学習、計算言語学の技術的進歩は、より洗練された効率的な会話AIプラットフォームをさらに可能にしています。同市場の主要参入企業には、IBM、Google、Microsoft、Amazonが含まれ、いずれもAI機能の強化と包括的なソリューションを通じて革新と市場シェア獲得を競っています。財政的に、会話AI市場は今後10年間で堅調に拡大すると予測されています。モバイル用途やIoTデバイスに会話型AIが統合されることで、特に金融、ヘルスケア、eコマースなどの業界において、新たな成長の道が開けると期待されています。

会話型AI分野におけるオンプレミス型セグメントの市場成長が著しいのは、主にそれが組織に提供する高度な管理とセキュリティに起因しています。金融、ヘルスケア、政府部門などの機密情報を扱う企業は、データを直接管理し、厳しい規制要件へのコンプライアンスを確保するため、オンプレミスソリューションを好むことが多くなります。

さらに、オンプレミスの導入により、企業は特定の組織のニーズや技術環境に応じて会話型AIシステムをより広範囲にカスタマイズできます。このカスタマイズ機能は、既存のレガシーシステムとの独自の統合を必要とする大企業にとって極めて重要であり、クラウドベースのソリューションでは実現が難しいです。その結果、クラウドコンピューティングへの動向が高まっているにもかかわらず、データ・セキュリティや規制コンプライアンスと相まって、カスタマイズに対する特定のニーズが、特定の業界や大企業におけるオンプレミスの会話型AIソリューションの選好を引き続き後押ししています。

当レポートでは、世界の会話型AI市場について調査し、市場の概要とともに、コンポーネント別、タイプ別、技術別、展開別、エンドユーザー別、地域別の動向、および市場に参入する企業のプロファイルなどを提供しています。

目次

エグゼクティブサマリー

第1章 市場：業界の展望

  • 動向：現在および将来の影響評価
  • サプライチェーンの概要
  • R&Dレビュー
  • 規制状況
  • ステークホルダー分析
  • 主要な世界的イベントの影響分析
  • 市場力学の概要

第2章 会話型AI市場（用途別）

  • 用途のセグメンテーション
  • 用途の概要
  • 会話型AI市場（エンドユーザー別）
  • 会話型AI市場（導入別）

第3章 会話型AI市場（製品別）

  • 製品セグメンテーション
  • 製品概要
  • 会話型AI市場（コンポーネント別）
  • 会話型AI市場（タイプ別）
  • 会話型AI市場（技術別）

第4章 会話型AI市場（地域別）

  • 会話型AI市場（地域別）
  • 北米
  • 欧州
  • アジア太平洋
  • その他の地域

第5章 企業プロファイル

  • 今後の見通し
  • 地理的評価
    • 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
    • その他の主要参入企業

第6章 調査手法

目次
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