세계의 대화형 AI 시장 : 제공 서비스별, 용도별, 조직 규모별, 도입 형태별, 분야별(IT/통신, 은행/금융서비스/보험(BFSI), 소매/전자상거래, 헬스케어/생명과학, 여행/숙박, 교육, 제조) - 예측(-2030년)

The research report titled 'Conversational AI Market by Offering, Application, Organization Size, Deployment Mode, Sector (IT & Telecommunications, BFSI, Retail & E-commerce, Healthcare & Life Sciences, Travel & Hospitality, Education, Manufacturing)-Global Forecast to 2030' provides an in-depth analysis of the conversational AI market in five major geographies and emphasizes on the current market trends, sizes, and shares, recent developments, and forecasts till 2030.

The global conversational AI market is projected to reach $43.7 billion by 2030, at a CAGR of 23.9% during the forecast period.

The growth of the conversational AI market is driven by the surge in demand for conversational AI solutions to improve call center operations and the proliferation of voice-enabled devices. However, a lack of accuracy in recognizing regional accents and dialects and low awareness about conversational AI solutions restrains the growth of this market. The high potential of AI-enabled voice assistants in the healthcare industry and the increasing proliferation of conversational AI solutions for sales and marketing management are expected to create growth opportunities for the players operating in the conversational AI market. However, data privacy and security concerns are a major challenge for market growth. Furthermore, AI chatbots with high emotional intelligence & the rise of voice-enabled assistants are the key trends observed in the conversational AI market.

The global conversational AI market is segmented by offering (solutions [chatbots, intelligent virtual assistant, speech recognition solutions, other conversational AI solutions], services (professional services, managed services), applications (customer service, information technology service management, human resource management, sales and marketing management, operations and supply chain management, finance and accounting, other applications), organization size (large enterprises, small & medium-sized enterprises), deployment mode (cloud-based deployment, on-premise deployment), sector (IT & telecommunications, BFSI, retail & e-commerce, healthcare & life sciences, travel & hospitality, education, government & public sector, media & entertainment, energy & utilities, manufacturing, and other sectors). The study also evaluates industry competitors and analyzes the market at regional and country levels.

Based on offering, the global conversational AI market is segmented into solutions and services. In 2023, the solutions segment is expected to account for the largest share of the global conversational AI market. The large market share of this segment is attributed to the increasing focus on solution-centric automation capabilities, several solution providers investing in R&D, and the growing adoption of conversational AI solutions in various industries. This segment is projected to register the highest CAGR during the forecast period.

Based on application, the global conversational AI market is segmented into customer service, information technology service management, human resource management, sales and marketing management, operations and supply chain management, finance and accounting, and other applications. In 2023, the customer service segment is expected to account for the largest share of the global conversational AI market. The large market share of this segment is attributed to the growing demand for digital assistants and chatbots in customer service for answering FAQs, increasing usage of AI-powered chatbots or virtual assistants for account management, rising need to analyze customer queries or statements, and conversational AI for multilingual support. This segment is also projected to register the highest CAGR during the forecast period.

Based on deployment mode, the global conversational AI market is segmented into cloud-based deployment and on-premise deployment. In 2023, the cloud-based deployment segment is expected to account for the largest share of the global conversational AI market. The large market share of this segment is attributed to the rising demand for benefits such as easy maintenance of customer data, cost-effectiveness, scalability, and growing demand for conversational AI solutions for multi-cloud deployments. Additionally, this segment is expected to register the highest CAGR during the forecast period.

Based on sector, the global conversational AI market is segmented into IT & telecommunications, BFSI, retail & e-commerce, healthcare & life sciences, travel & hospitality, education, government & public sector, media & entertainment, energy & utilities, manufacturing, and other sectors. In 2023, the IT & telecommunications segment is expected to account for the largest share of the global conversational AI market. The large market share of this segment is attributed to the increasing adoption of AI solutions for fraud detection and prevention, the surge in demand for conversational AI to improve call center operations, exerting efforts by companies to launch chatbots for IT service management, rising need for network optimization and maintenance. Additionally, this segment is expected to register the highest CAGR during the forecast period.

Based on geography, the conversational AI market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. In 2023, North America is expected to account for the largest share of the global conversational AI market. The large share of this market is attributed to the presence of prominent players offering advanced conversational AI solutions & services, the growing demand for AI-powered customer support services, the growing usage of chatbots to provide efficient customer services, the increasing adoption of voice-enabled devices, and increased technological advancement across the region encourage consumers to install conversational AI solutions & services. However, the Asia-Pacific region is projected to register the highest CAGR during the forecast period.

The key players operating in the global conversational AI market are Google LLC (U.S.), Microsoft Corporation (U.S.), Amazon Web Services, Inc. (a subsidiary of Amazon.com, Inc.) (U.S.), Oracle Corporation (U.S.), International Business Machine Corporation (U.S.), NVIDIA Corporation (U.S.), Baidu, Inc. (China), Verint Systems Inc. (U.S.), SAP SE (Germany), AT & T Inc. (U.S.), Conversica, Inc. (U.S.), AssemblyAI, Inc.(U.S.), Kore.ai Inc. (U.S.), OpenAI OpCo, LLC (U.S.), and DRUID S.A. (Romania)

Key questions answered in the report-

• Which are the high-growth market segments in terms of offering, application, organization size, deployment mode, and sector?
• What is the historical market for conversational AI across the globe?
• What are the market forecasts and estimates for 2023-2030?
• What are the major drivers, restraints, opportunities, challenges, and trends in the global conversational AI market?
• Who are the major players in the global conversational AI market, and what market share do they hold?
• How is the competitive landscape?
• What are the recent developments in the global conversational AI market?
• What strategies are adopted by the major players in the global conversational AI market?
• What are the geographical trends and high-growth countries?
• Who are the local emerging players in the global conversational AI market, and how do they compete with the other players?

Scope of the Report

Conversational AI Market Assessment- by Offering

• Solutions
  • Chatbots
  • Intelligent Virtual Assistant (IVA)
  • Speech Recognition Solutions (Text-to-Speech Software and Speech-to-Text Software)
  • Other Conversational AI Solutions (Content Management Tools & Language Translation Tools)
• Services
  • Professional Services
  • Managed Services

Conversational AI Market Assessment- by Application

• Customer Service
• Information Technology Service Management
• Human Resource Management
• Sales and Marketing Management
• Operations and Supply Chain Management
• Finance and Accounting
• Other Applications (Conversational AI-enabled IoT Devices)

Conversational AI Market Assessment- by Organization Size

• Large Enterprises
• Small & Medium-sized Enterprises

Conversational AI Market Assessment- by Deployment Mode

• Cloud-based Deployment
• On-premise Deployment

Conversational AI Market Assessment- by Sector

• IT & Telecommunications
• BFSI
• Retail & E-commerce
• Healthcare & Life Sciences
• Travel & Hospitality
• Education
• Government & Public Sector
• Media & Entertainment
• Energy & Utilities
• Manufacturing
• Other Sectors (FMCG, Automotive & Transportation & Logistics)

Conversational AI Market Assessment- by Geography

• North America
  • U.S.
  • Canada
• Europe
  • Germany
  • U.K.
  • France
  • Italy
  • Spain
  • Netherlands
  • Rest of Europe
• Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Rest of Asia-Pacific
• Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa
  • UAE
  • Israel
  • Rest of Middle East & Africa

TABLE OF CONTENTS

1. Market Definition & Scope

• 1.1. Market Definition
• 1.2. Currency and Limitations
  • 1.2.1. Currency
  • 1.2.2. Limitations

2. Research Methodology

• 2.1. Research Approach
• 2.2. Process of Data Collection and Validation
  • 2.2.1. Secondary Research
  • 2.2.2. Primary Research/Interviews with Key Opinion Leaders of the Industry
• 2.3. Market Sizing and Forecast
  • 2.3.1. Market Size Estimation Approach
  • 2.3.2. Growth Forecast Approach
• 2.4. Assumptions For the Study

3. Executive Summary

• 3.1. Market Analysis, By Offering
• 3.2. Market Analysis, By Application
• 3.3. Market Analysis, By Organization Size
• 3.4. Market Analysis, By Deployment Mode
• 3.5. Market Analysis, By Sector
• 3.6. Market Analysis, By Geography
• 3.7. Competitive Analysis

4. Market Insights

• 4.1. Overview
• 4.2. Factors Affecting Market Growth
  • 4.2.1. The Need for Improved Customer Experience and Operational Performance Driving the Demand for Conversational Ai Solutions Among Call Centers
  • 4.2.2. Increasing Deployment of Voice-Enabled Devices Boosting the Utilization of Conversational AI Solutions
  • 4.2.3. Lack of Accuracy In Recognizing Regional Accents and Dialects Limiting the Adoption of Conversational AI Solutions
  • 4.2.4. Low Awareness About Conversational AI Solutions Restraining Market Growth
  • 4.2.5. Growing Use of Voice Assistants In the Healthcare Industry Creating Opportunities for Implementing Conversational AI Solutions
  • 4.2.6. Need to Optimize Sales & Marketing Management Driving the Adoption of Conversational AI Solutions
  • 4.2.7. Data Privacy & Security Concerns Hampering the Adoption of Conversational AI Solutions
• 4.3. Trends
  • 4.3.1. AI Chatbots with High Emotional Intelligence
  • 4.3.2. The Rise of Voice-Enabled Assistants
• 4.4. Case Studies
  • 4.4.1. Case Study A
  • 4.4.2. Case Study B
  • 4.4.3. Case Study C

5. Conversational AI Market Assessment-By Offering

• 5.1. Overview
• 5.2. Solutions
  • 5.2.1. Chatbots
  • 5.2.2. Intelligent Virtual Assistant
  • 5.2.3. Speech Recognition Solutions
  • 5.2.4. Other Conversational AI Solutions
• 5.3. Services
  • 5.3.1. Professional Services
  • 5.3.2. Managed Services

6. Conversational AI Market Assessment-By Application

• 6.1. Overview
• 6.2. Customer Service
• 6.3. Information Technology Service Management
• 6.4. Sales and Marketing Management
• 6.5. Finance and Accounting
• 6.6. Operations and Supply Chain Management
• 6.7. Human Resource Management
• 6.8. Other Applications

7. Conversational AI Market Assessment-By Organization Size

• 7.1. Overview
• 7.2. Large Enterprises
• 7.3. Small & Medium-Sized Enterprises

8. Conversational AI Market Assessment-By Deployment Mode

• 8.1. Overview
• 8.2. Cloud-based Deployment
• 8.3. On-premise Deployment

9. Conversational AI Market Assessment-By Sector

• 9.1. Overview
• 9.2. IT & Telecommunications
• 9.3. BFSI
• 9.4. Retail & E-commerce
• 9.5. Healthcare & Life Sciences
• 9.6. Government & Public Sector
• 9.7. Travel & Hospitality
• 9.8. Manufacturing
• 9.9. Media & Entertainment
• 9.10. Education
• 9.11. Energy & Utilities
• 9.12. Other Sectors

10. Conversational AI Market Assessment-By Geography

• 10.1. Overview
• 10.2. North America
  • 10.2.1. U.S.
  • 10.2.2. Canada
• 10.3. Asia-Pacific
  • 10.3.1. China
  • 10.3.2. Japan
  • 10.3.3. India
  • 10.3.4. South Korea
  • 10.3.5. Singapore
  • 10.3.6. Rest of Asia-Pacific
• 10.4. Europe
  • 10.4.1. Germany
  • 10.4.2. U.K.
  • 10.4.3. France
  • 10.4.4. Italy
  • 10.4.5. Spain
  • 10.4.6. Netherlands
  • 10.4.7. Rest of Europe
• 10.5. Latin America
  • 10.5.1. Brazil
  • 10.5.2. Mexico
  • 10.5.3. Rest of Latin America
• 10.6. Middle East & Africa
  • 10.6.1. UAE
  • 10.6.2. Israel
  • 10.6.3. Rest of the Middle East & Africa

11. Competition Analysis

• 11.1. Overview
• 11.2. Key Growth Strategies
• 11.3. Competitive Dashboard
  • 11.3.1. Industry Leaders
  • 11.3.2. Differentiators
  • 11.3.3. Vanguards
  • 11.3.4. Emerging Companies
• 11.4. Market Share Analysis
  • 11.4.1. International Business Machine Corporation (U.S.)
  • 11.4.2. Google LLC (U.S.)
  • 11.4.3. Amazon Web Services, Inc. (A Subsidiary of Amazon.Com, Inc.) (U.S.)
  • 11.4.4. Microsoft Corporation (U.S.)
  • 11.4.5. Oracle Corporation (U.S.)

12. Company Profiles

• 12.1. Google LLC (A Subsidiary of Alphabet, Inc.)
  • 12.1.1. Company Overview
  • 12.1.2. Financial Overview
  • 12.1.3. Product Portfolio
  • 12.1.4. Strategic Developments
  • 12.1.5. SWOT Analysis
• 12.2. Amazon Web Services, Inc. (A Subsidiary of Amazon.Com, Inc.)
  • 12.2.1. Company Overview
  • 12.2.2. Financial Overview
  • 12.2.3. Product Portfolio
  • 12.2.4. Strategic Developments
  • 12.2.5. SWOT Analysis
• 12.3. Microsoft Corporation
  • 12.3.1. Company Overview
  • 12.3.2. Financial Overview
  • 12.3.3. Product Portfolio
  • 12.3.4. Strategic Developments
  • 12.3.5. SWOT Analysis
• 12.4. Oracle Corporation
  • 12.4.1. Company Overview
  • 12.4.2. Financial Overview
  • 12.4.3. Product Portfolio
  • 12.4.4. Strategic Developments
  • 12.4.5. SWOT Analysis
• 12.5. International Business Machine Corporation
  • 12.5.1. Company Overview
  • 12.5.2. Financial Overview
  • 12.5.3. Product Portfolio
  • 12.5.4. Strategic Developments
  • 12.5.5. SWOT Analysis
• 12.6. Verint Systems Inc.
  • 12.6.1. Company Overview
  • 12.6.2. Financial Overview
  • 12.6.3. Product Portfolio
  • 12.6.4. Strategic Developments
• 12.7. NVIDIA Corporation
  • 12.7.1. Company Overview
  • 12.7.2. Financial Overview
  • 12.7.3. Product Portfolio
  • 12.7.4. Strategic Developments
• 12.8. Baidu, Inc.
  • 12.8.1. Company Overview
  • 12.8.2. Financial Overview
  • 12.8.3. Product Portfolio
  • 12.8.4. Strategic Developments
• 12.9. SAP SE
  • 12.9.1. Company Overview
  • 12.9.2. Financial Overview
  • 12.9.3. Product Portfolio
• 12.10. AT&T Inc.
  • 12.10.1. Company Overview
  • 12.10.2. Financial Overview
  • 12.10.3. Product Portfolio
  • 12.10.4. Strategic Developments
• 12.11. Conversica, Inc.
  • 12.11.1. Company Overview
  • 12.11.2. Product Portfolio
  • 12.11.3. Strategic Developments
• 12.12. Assemblyai, Inc.
  • 12.12.1. Company Overview
  • 12.12.2. Product Portfolio
• 12.13. Kore.ai Inc.
  • 12.13.1. Company Overview
  • 12.13.2. Product Portfolio
  • 12.13.3. Strategic Developments
• 12.14. OpenAI OpCo, LLC
  • 12.14.1. Company Overview
  • 12.14.2. Product Portfolio
  • 12.14.3. Strategic Developments
• 12.15. DRUID S.A.
  • 12.15.1. Company Overview
  • 12.15.2. Product Portfolio
  • 12.15.3. Strategic Developments

13. Appendix

• 13.1. Available Customization
• 13.2. Related Reports