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市場調査レポート
商品コード
1533634
会話型人工知能(AI)の市場規模、シェア、成長分析:コンポーネント別、タイプ別、技術別、地域別 - 産業予測、2024年~2031年Conversational Artificial Intelligence (AI) Market Size, Share, Growth Analysis, By Component (Solution, Services), By Type (AI Chatbots, Gen AI Agents), By Technology (ML, NLP), By Region - Industry Forecast 2024-2031 |
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会話型人工知能(AI)の市場規模、シェア、成長分析:コンポーネント別、タイプ別、技術別、地域別 - 産業予測、2024年~2031年 |
出版日: 2024年08月05日
発行: SkyQuest
ページ情報: 英文 157 Pages
納期: 3~5営業日
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世界の会話型人工知能(AI)の市場規模は、2022年に78億米ドルとなり、2023年の95億米ドルから、2031年までには488億1,000万米ドルに達し、予測期間(2024年~2031年)のCAGRは22.60%で成長すると予測されています。
会話型AI市場は、自然言語処理と機械学習の進歩によって急速な成長を遂げています。この拡大は、チャットボットやバーチャルアシスタントが小売、ヘルスケア、銀行などさまざまな分野で普及し、顧客体験の向上に対する需要が高まっていることが背景にあります。Google、IBM、Microsoft、Amazonなどの大手企業は、精度と応答性を向上させるため、会話AIプラットフォームを継続的に革新しています。また、AIと顧客関係管理システムとの統合や、音声起動デバイスの普及拡大も市場を後押ししています。企業がパーソナライズされたサービスを提供し、業務効率を高めようとしていることから、会話型AIの採用は今後数年間で大幅に増加すると予想されます。予測によると、今後5年間の年間平均成長率(CAGR)は20%を超える可能性があります。しかし、会話AI市場はいくつかの課題に直面しています。主要な課題には、データ・プライバシーの確保と規制遵守要件の遵守が含まれます。顧客データの保護は、中小企業(SME)に困難をもたらす可能性のある技術に関連する複雑さと初期コストへの対処と同様に、依然として重要な懸念事項です。さらに、現在のテクノロジーは、より人間に近い会話体験の実現やコンテキストの理解に苦労しており、ユーザーのフラストレーションにつながる可能性があります。このような課題にもかかわらず、現在進行中の研究開発、AI技術への投資拡大により、これらの問題が長期的に解決されることが期待されています。
Global Conversational Artificial Intelligence (AI) Market size was valued at USD 7.8 Billion in 2022, and is projected to rise from USD 9.5 Billion in 2023 to reach USD 48.81 Billion by 2031, growing at a CAGR of 22.60% in the forecast period (2024-2031).
The conversational AI market is experiencing rapid growth, driven by advancements in natural language processing and machine learning. This expansion is fueled by the rising demand for enhanced customer experiences, with chatbots and virtual assistants becoming prevalent across various sectors such as retail, healthcare, and banking. Leading companies like Google, IBM, Microsoft, and Amazon are continually innovating their conversational AI platforms to improve accuracy and responsiveness. The market has also been bolstered by the integration of AI with customer relationship management systems and the growing prevalence of voice-activated devices. It is anticipated that the adoption of conversational AI will increase significantly in the coming years, as businesses seek to offer personalized services and boost operational efficiency. Projections suggest that the compound annual growth rate (CAGR) could exceed 20% over the next five years. However, the conversational AI market faces several challenges. Key issues include ensuring data privacy and meeting regulatory compliance requirements. Safeguarding customer data remains a critical concern, as does addressing the complexity and initial costs associated with the technology, which may pose difficulties for small- and medium-sized enterprises (SMEs). Additionally, current technology struggles with achieving a more human-like conversational experience and understanding context, which can lead to user frustration. Despite these challenges, ongoing research, development, and increased investment in AI technologies are expected to address these issues over time.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Conversational AI market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Conversational AI Market Segmental Analysis
Conversational AI market is segmented into Component, Type, Technology, Deployment, Organization Size, Application, End-User, and region. By Component, the market is segmented into Solution, Managed Services, and Professional Services (Training & Consulting, System Integration & Implementation, Sports & Maintenance). Based on Type, the market is segmented into AI Chatbots, Voice Bots, Interactive Voice Assistance (IVA), and Generative AI Agents. Based on Technology, the market is segmented into Machine Learning and Deep Learning, Natural Language Processing, and Automated Speech Recognition. Based on Deployment Model, the market is segmented into On-Premises and Cloud. Based on Organization Size, the market is segmented into Large Enterprises, Small and Medium-Sized Enterprises. Based on Application, the market is segmented into Sales & Marketing (Contact Center Automation, Branding & Advertisement, Campaign Management, Customer Engagement & Retention, Others), Operations & supply Chain (Workflow Optimization, Scheduling & Routing, Inventory Management, Vendor Management, Others), Finance & Accounting (Virtual Financial Advisors, Expense, Expense Tracking & Reporting, Data Privacy & Compliance Management, Automated Invoice Processing, Others), Human Resources (HR) (Employees Engagement & Onboarding, Performance Management, Document Management, Recruitment Assistance & Screening, Others), and IT Service Management (ITSM) (Incident Management, Cost Optimization, Query Handling, Knowledge Management, Others). Based on End-User, the market is segmented into Sales and Marketing, Finance, HR, Operations, IT Service Management. By Mode of Integration, the market is segmented into Web-based, App-based, and Telephonic. Based on End User, the market is segmented into BFSI (Automated Customer Support, Virtual Financial Assistance, Portfolio Management, Voice-Based Digital Banking, and Others), Retail & E-commerce (Voice Commerce, Personalized Recommendations, In-Store Assistance, Automated Surveys, Automated Order Tracking & Updates, and Others), Education (Admission Query Resolution, Administrative Task Automation, Virtual Learning/Course Assistance, Personalized Learning Support, Conversational Campus, and Others), Media & Entertainment (Content Personalization, Personalized Content Delivery, Immersive Conversational Gaming, Advertisement & Promotions, Content Localization & Translation, and Others), Healthcare & Life Science (Automated Appointment Booking, Patient Engagement & Follow Up, Self-Health Management, Health Tracking & Medication Management, Symptom Assessment & Triage Management, and Others), Travel & Hospitality (Virtual Travel Assistance, Personalized Travel Planning, Conversational Check-Ins, Voice-Based Booking/Ordering, and Others), Automotive (Virtual Car Showroom Assistance, AI-Powered Navigation & Route Optimization, Purchase Assistance, AI-Driven Predictive Maintenance, Vehicle Configuration & Customization, and Others), IT/ITeS (IT Helpdesk Support & Troubleshooting, Software & Application Support, Project Management & Task Tracking, Virtual IT Procurement Assistance, IT Security Incident Response & Threat Intelligence Analysis, Others), Government & Defense (E-Governance Services, Public Safety Information Dissemination, Virtual Training Assistance for Defense Personnel, Citizen Engagement Surveys & Feedback Collection, and Others), and Others. Based on region, the market is segmented into North America, Europe, Asia-Pacific, Middle East and Africa, and Latin America.
Drivers of the Global Conversational AI Market
The conversational AI market is growing rapidly due to rising demands for customer service automation. A significant 79% of organizations view automation as essential for managing customer experiences. This trend is driven by the need for round-the-clock support and swift resolutions to customer issues, all while maintaining cost-effectiveness. Conversational AI enables companies to handle numerous queries and concerns efficiently, allowing human agents to focus on more complex tasks. By integrating conversational AI, businesses can improve service quality, reduce operational costs, and boost overall efficiency.
Restraints in the Global Conversational AI Market
A key challenge facing the conversational AI market is the difficulty chatbots and virtual assistants have in delivering accurate information. Inexpensive or poorly designed chatbots often suffer from technological issues and inaccuracies. Achieving a high level of accuracy can be a gradual process, as these systems rely on the quality and scope of the data provided to their databases. Consequently, chatbots and virtual assistants may only be able to respond effectively to queries based on the information they have been trained on, leading to potential gaps in the accuracy and completeness of their responses.
Market Trends of the Global Conversational AI Market
The shift towards intelligent software has revolutionized support services, significantly boosting business growth. The conversational AI sector is expected to see remarkable expansion driven by the rising demand for AI-driven technologies in chatbots and customer support services. This growth is largely attributed to advancements in AI integration with speech technologies, which have enhanced the capabilities of AI platforms and their agent services. Future developments are likely to introduce new integration possibilities, including gesture recognition. Gesture recognition offers various benefits, such as enabling intelligent, silent, and text-based interactions. This feature is particularly useful in environments where noise disruptions can be problematic, allowing for effective communication without spoken words or text.