查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1597248

人工智慧聊天软体市场报告：2030 年趋势、预测与竞争分析

AI Chatting Software Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3个工作天内

价格

※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

简介目录

AI聊天软体趋势与预测

预计 2024 年至 2030 年，全球人工智慧聊天软体市场将以 22.4% 的复合年增长率成长。该市场的关键驱动因素是人工智慧聊天机器人的最高采用率，以提高业务效率并降低客户服务成本，对个人化客户互动和支援解决方案的需求不断增加，以及人工智慧进步的成长。全球人工智慧聊天软体市场未来性广阔，商业客户服务、教育援助、医疗保健、媒体娱乐市场都有机会。

  • Lucintel 预测，在所有类型类别中，简单会话预计将在预测期内实现最高成长。
  • 从应用程式来看，商业客户服务仍是最大的细分市场。
  • 从地区来看，亚太地区预计将在预测期内实现最高成长。

AI聊天软体市场的策略性成长机会

人工智慧聊天软体市场在关键应用领域呈现多个策略成长机会。识别和利用这些机会可以推动市场扩张和创新。

  • 客户支援自动化：利用人工智慧聊天机器人实现客户支援自动化是一个巨大的成长机会。透过回应日常询问并提供 24/7 支持，聊天机器人可以提高客户服务效率并降低营运成本。该应用程式对于希望缩短回应时间并简化支援流程的企业尤其有价值。
  • 电子商务和零售：将人工智慧聊天机器人与电子商务和零售平台整合可以增强购物体验并提供成长潜力。聊天机器人可以协助产品推荐、订单追踪和客户查询，从而推动销售并提高客户满意度。这一机会支持人工智慧在线上和全通路零售环境中的发展。
  • 医疗保健和远端医疗：人工智慧聊天机器人有潜力透过提供虚拟咨询、预约安排和病患教育来彻底改变医疗保健和远端医疗。该应用程式为医疗保健行业提供了巨大的成长机会，因为它可以提高医疗保健服务的可及性并简化管理业务。
  • 金融服务与业务：在金融服务和银行业中使用人工智慧聊天机器人可以透过提供帐户管理、交易支援和财务建议来增强客户互动。聊天机器人可以回应日常查询并提供个人化的财务指导，从而提高金融领域的效率和客户满意度。
  • 教育与培训：人工智慧聊天机器人可用于教育和培训，提供个人化的学习体验、回答学生的询问并支援管理功能。该应用程式为教育机构和企业培训计画带来了成长机会，改善了学习流程和管理效率。

这种成长机会正在透过扩大其在各个领域的应用来塑造人工智慧聊天软体市场。对客户支援自动化、电子商务、医​​疗保健、金融服务和教育的关注正在推动创新和采用，支持市场成长并改变企业和组织与其用户互动的方式。

AI聊天软体市场驱动因素与挑战

人工智慧聊天软体市场受到影响其发展和成长的各种驱动因素​​和挑战的影响。了解这些因素对于驾驭市场格局至关重要。

推动AI聊天软体市场的因素有：

  • 技术进步：人工智慧和机器学习技术的快速进步正在推动人工智慧聊天软体市场的成长。自然语言处理（NLP）和机器学习演算法的改进可以增强聊天机器人的能力，使它们能够更有效地理解和回应使用者的询问。这些进步正在扩大市场并改善产品功能。
  • 对自动化的需求不断增加：客户服务和业务营运对自动化的需求不断增加。人工智慧聊天机器人为自动化日常任务、回应客户询问和提高业务效率提供了经济高效的解决方案。这种需求正在推动人工智慧聊天软体在各行业的采用。
  • 消费者期望不断提高：消费者越来越期望与企业进行快速、个人化和无缝的互动。人工智慧聊天机器人透过提供即时回应、个人化建议和高效的客户支援来满足这些期望。提升客户体验和满意度的需求是AI聊天软体市场的关键驱动因素。
  • 与业务系统整合：人工智慧聊天机器人与 CRM 和 ERP 平台等业务系统的整合正在推动市场成长。这种整合允许聊天机器人存取和利用这些系统中的资料，改进其功能并提供更相关的回应。简化工作流程和提高业务效率是主要的招募驱动力。
  • 数位管道的扩展：社交媒体、通讯应用程式和网站等数位通讯管道的扩展为人工智慧聊天软体提供了成长机会。可以在这些管道中部署聊天机器人来与用户互动、支援数位行销工作并提高参与度。数位管道的激增正在推动对多功能人工智慧聊天解决方案的需求。

AI聊天软体市场挑战：

  • 资料隐私和安全问题：确保资料隐私和安全是AI聊天软体面临的主要挑战。由于聊天机器人处理高度敏感的用户讯息，因此对资料外洩和未授权存取的担忧普遍存在。遵守资料保护条例并实施强有力的安全措施对于应对这些挑战至关重要。
  • 技术限制：儘管人工智慧聊天机器人正在不断发展，但它们在理解和处理复杂查询仍然存在局限性。有限的上下文理解和难以处理模糊或微妙的语言等问题可能会影响聊天机器人的效能。解决这些挑战对于提高聊天机器人的有效性和用户满意度至关重要。
  • 开发成本高：开发和实施先进的人工智慧聊天软体成本高。高开发成本，包括技术、基础设施和持续维护成本，可能成为一些公司的障碍。平衡功能和效能与成本对于开发人员和使用者来说都是一个挑战。

这些驱动因素/挑战透过影响技术开发、采用率和市场动态来塑造人工智慧聊天软体市场。利用技术进步和不断上升的消费者期望等驱动因素，同时解决资料隐私和技术限制等挑战，对于驾驭不断变化的市场格局至关重要。

目录

第一章执行摘要

第二章全球人工智慧聊天软体市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第三章 2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球人工智慧聊天软体市场趋势（2018-2023）与预测（2024-2030）
  • 按类型：全球人工智慧聊天软体市场
    • 简单的对话
    • 报导创作
    • 搜寻引擎抓取
    • 综合的
    • 其他的
  • 按应用划分：全球人工智慧聊天软体市场
    • 商业客户服务
    • 教育支持
    • 医疗保健
    • 媒体和娱乐
    • 其他的

第四章 2018-2030年区域市场趋势及预测分析

  • 按地区分類的人工智慧聊天软体市场
  • 北美AI聊天软体市场
  • 欧洲AI聊天软体市场
  • 亚太地区人工智慧聊天软体市场
  • 其他地区AI聊天软体市场

第五章 竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第六章 成长机会与策略分析

  • 成长机会分析
    • 全球人工智慧聊天软体市场成长机会（按类型）
    • 全球人工智慧聊天软体市场成长机会（按应用）
    • 全球人工智慧聊天软体市场成长机会（按地区）
  • 全球AI聊天软体市场新趋势
  • 战略分析
    • 新产品开发
    • 全球AI聊天软体市场容量扩张
    • 全球AI聊天软体市场的併购与合资
    • 认证和许可

第七章主要企业概况

  • Xiaoice
  • DialoGPT
  • Mitsuku
  • Meena（Base）
  • Blender
  • Enlightenment
  • NMT
  • Dialogflow
  • Bold360 Ai
  • ChatGPT
简介目录

AI Chatting Software Trends and Forecast

The future of the global AI chatting software market looks promising with opportunities in the commercial customer service, educational assistance, medical care, and media & entertainment markets. The global AI chatting software market is expected to grow with a CAGR of 22.4% from 2024 to 2030. The major drivers for this market are the highest adoption of AI chatbots for improving operational efficiency and reducing customer service costs, the increase in demand for personalized customer interactions and support solutions, and the growth of AI advancements worldwide.

  • Lucintel forecasts that, within the type category, simple conversational is expected to witness the highest growth over the forecast period.
  • Within the application category, commercial customer service will remain the largest segment.
  • In terms of regions, APAC is expected to witness the highest growth over the forecast period.

Gain valuable insights for your business decisions with our comprehensive 150+ page report.

Emerging Trends in the AI Chatting Software Market

The AI chatting software market is evolving rapidly, with several key trends shaping its development. These trends reflect advancements in technology and changing user expectations, impacting how AI chatbots and virtual assistants are utilized.

  • Enhanced Natural Language Processing (NLP): Advancements in NLP are making AI chatbots more adept at understanding and generating human-like responses. Enhanced NLP capabilities allow chatbots to grasp context, intent, and sentiment more effectively, leading to more accurate and engaging interactions. This boosts user satisfaction and makes AI chatbots more valuable for customer service and support.
  • Integration with Voice Assistants: The integration of AI chatting software with voice assistants is becoming increasingly prevalent. This allows users to interact with chatbots through voice commands, making the technology more accessible and versatile. Voice-enabled chatbots enhance user experience by providing hands-free and efficient communication options, which are particularly valuable in mobile and smart home applications.
  • Personalized User Experiences: AI chatbots are leveraging machine learning algorithms to deliver personalized experiences based on user data and interaction history. This enables chatbots to tailor responses, recommendations, and content to individual preferences, improving user engagement and satisfaction. Personalized interactions are becoming a key differentiator in the competitive AI chatting software market.
  • Integration with Business Systems: AI chatting software is increasingly being integrated with various business systems, such as CRM, ERP, and e-commerce platforms. This enhances the functionality of chatbots by enabling them to access and utilize data from these systems, streamlining workflows, and providing more relevant and timely responses. This trend supports operational efficiency and improves the overall customer experience.
  • Focus on Data Privacy and Security: As AI chatting software becomes more prevalent, there is a growing emphasis on ensuring data privacy and security. Compliance with regulations such as GDPR and CCPA is crucial, and companies are investing in technologies and practices that protect user data. This focus on privacy and security builds trust with users and addresses concerns related to handling sensitive information.

These trends are driving significant changes in the AI chatting software market by enhancing technological capabilities, improving user experiences, and addressing privacy concerns. The focus on advanced NLP, voice integration, and personalization is making chatbots more effective and user-friendly, while integration with business systems and emphasis on data security is increasing their utility.

Recent Developments in the AI Chatting Software Market

The AI chatting software market is experiencing notable developments driven by advancements in AI and machine learning. These developments are transforming how chatbots and virtual assistants are deployed and utilized across various industries.

  • Advanced NLP Capabilities: Recent developments in NLP have significantly improved the ability of AI chatbots to understand and process human language. Innovations in machine learning and deep learning algorithms have enhanced the accuracy and context-awareness of chatbots, making them more effective in handling complex queries and providing relevant responses.
  • Voice Interaction Integration: The integration of AI chatbots with voice technology is becoming more common. This development allows users to interact with chatbots through voice commands, expanding their functionality and accessibility. Voice-enabled chatbots enhance user experiences by offering hands-free communication and seamless integration with smart devices.
  • Personalization and Contextualization: AI chatbots are increasingly incorporating personalization and contextualization features. By analyzing user data and interaction history, chatbots can tailor responses and recommendations to individual preferences. This improves user engagement and satisfaction by providing more relevant and customized interactions.
  • Business System Integration: AI chatting software is being integrated with various business systems, including CRM and ERP platforms. This enables chatbots to access and utilize data from these systems, enhancing their functionality and providing more accurate and timely responses. This supports operational efficiency and improves the customer service experience.
  • Enhanced Data Security Measures: As AI chatbots handle sensitive user data, there is a growing focus on implementing robust data security measures. Companies are investing in technologies and practices that ensure compliance with data protection regulations and safeguard user information. This addresses privacy concerns and builds user trust.

These developments are advancing the AI chatting software market by improving technological capabilities, enhancing user interactions, and addressing privacy concerns. The integration of advanced NLP, voice technology, and business systems is making chatbots more effective and versatile, while an increased focus on data security is building trust and supporting broader adoption.

Strategic Growth Opportunities for AI Chatting Software Market

The AI chatting software market presents several strategic growth opportunities across key applications. Identifying and leveraging these opportunities can drive market expansion and innovation.

  • Customer Support Automation: Automating customer support with AI chatbots represents a significant growth opportunity. By handling routine inquiries and providing 24/7 assistance, chatbots can enhance customer service efficiency and reduce operational costs. This application is particularly valuable for businesses seeking to improve response times and streamline support processes.
  • E-Commerce and Retail: Integrating AI chatbots with e-commerce and retail platforms offers growth potential by enhancing the shopping experience. Chatbots can assist with product recommendations, order tracking, and customer inquiries, driving sales and improving customer satisfaction. This opportunity supports the growth of AI in online and omnichannel retail environments.
  • Healthcare and Telemedicine: AI chatbots have the potential to revolutionize healthcare and telemedicine by providing virtual consultations, appointment scheduling, and patient education. This application can improve accessibility to healthcare services and streamline administrative tasks, presenting a significant growth opportunity in the healthcare sector.
  • Financial Services and Banking: The use of AI chatbots in financial services and banking can enhance customer interactions by providing account management, transaction support, and financial advice. Chatbots can handle routine inquiries and offer personalized financial guidance, improving efficiency and customer satisfaction in the financial sector.
  • Education and Training: AI chatbots can be leveraged in education and training to provide personalized learning experiences, answer student queries, and support administrative functions. This application offers growth opportunities in educational institutions and corporate training programs, enhancing the learning process and administrative efficiency.

These growth opportunities are shaping the AI chatting software market by expanding its applications across various sectors. The focus on customer support automation, e-commerce, healthcare, financial services, and education is driving innovation and adoption, supporting market growth and transforming how businesses and organizations interact with users.

AI Chatting Software Market Driver and Challenges

The AI chatting software market is influenced by various drivers and challenges that impact its development and growth. Understanding these factors is essential for navigating the market landscape.

The factors responsible for driving the AI chatting software market include:

  • Technological Advancements: Rapid advancements in AI and machine learning technologies are driving the growth of the AI chatting software market. Improvements in natural language processing (NLP) and machine learning algorithms enhance chatbot capabilities, making them more effective in understanding and responding to user queries. These advancements are expanding the market and improving product functionality.
  • Increasing Demand for Automation: There is a growing demand for automation in customer service and business operations. AI chatbots provide a cost-effective solution for automating routine tasks, handling customer inquiries, and improving operational efficiency. This demand is driving the adoption of AI chatting software across various industries.
  • Rising Consumer Expectations: Consumers increasingly expect fast, personalized, and seamless interactions with businesses. AI chatbots meet these expectations by providing real-time responses, personalized recommendations, and efficient customer support. The need to enhance customer experience and satisfaction is a key driver for the AI chatting software market.
  • Integration with Business Systems: The integration of AI chatbots with business systems such as CRM and ERP platforms is driving market growth. This integration enables chatbots to access and utilize data from these systems, improving their functionality and providing more relevant responses. Streamlining workflows and enhancing operational efficiency is a significant driver of adoption.
  • Expansion of Digital Channels: The expansion of digital communication channels, including social media, messaging apps, and websites, presents growth opportunities for AI chatting software. Chatbots can be deployed across these channels to interact with users, support digital marketing efforts, and improve engagement. The proliferation of digital channels is driving demand for versatile AI chatting solutions.

Challenges in the AI Chatting Software Market:

  • Data Privacy and Security Concerns: Ensuring data privacy and security is a major challenge for AI chatting software. Chatbots handle sensitive user information, and concerns about data breaches and unauthorized access are prevalent. Compliance with data protection regulations and implementing robust security measures are critical for addressing these challenges.
  • Technical Limitations: Despite advancements, AI chatbots still face limitations in understanding and processing complex queries. Issues such as limited contextual understanding and difficulty in handling ambiguous or nuanced language can affect chatbot performance. Addressing these challenges is essential for improving chatbot effectiveness and user satisfaction.
  • High Development Costs: The development and deployment of advanced AI chatting software can be costly. High development costs, including expenses for technology, infrastructure, and ongoing maintenance, can be a barrier for some businesses. Balancing cost with functionality and performance is a challenge for both developers and users.

These drivers and challenges collectively shape the AI chatting software market by influencing technology development, adoption rates, and market dynamics. Addressing challenges such as data privacy and technical limitations, while leveraging drivers like technological advancements and rising consumer expectations, is crucial for navigating the evolving market landscape.

List of AI Chatting Software Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies AI chatting software companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI chatting software companies profiled in this report include-

  • Xiaoice
  • DialoGPT
  • Mitsuku
  • Meena(Base)
  • Blender
  • Enlightenment
  • NMT
  • Dialogflow
  • Bold360 Ai
  • ChatGPT

AI Chatting Software by Segment

The study includes a forecast for the global AI chatting software market by type, application, and region.

AI Chatting Software Market by Type [Analysis by Value from 2018 to 2030]:

  • Simple Conversational
  • Article Generation
  • Search Engine Crawling
  • Comprehensive
  • Others

AI Chatting Software Market by Application [Analysis by Value from 2018 to 2030]:

  • Commercial Customer Service
  • Educational Assistance
  • Medical Care
  • Media & Entertainment
  • Others

AI Chatting Software Market by Region [Analysis by Value from 2018 to 2030]:

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

Country Wise Outlook for the AI Chatting Software Market

The AI chatting software market is evolving rapidly, driven by advancements in natural language processing (NLP) and machine learning. These technologies enhance the capabilities of chatbots and virtual assistants, making them more interactive and efficient. As AI improves, it transforms customer service, business operations, and user engagement across various industries. Recent developments in the United States, China, Germany, India, and Japan reflect a global trend toward more sophisticated, user-friendly, and integrated AI chatting solutions.

  • United States: In the U.S., AI chatting software has seen significant advancements in contextual understanding and personalization. Major tech companies are investing heavily in NLP to make chatbots more intuitive and capable of handling complex queries. Innovations such as voice-enabled assistants and seamless integration with enterprise tools are enhancing customer service experiences. There is also a growing trend towards using AI for sales and marketing automation, leveraging chatbots to generate leads and personalize customer interactions.
  • China: China is leading in the deployment of AI chatting software, focusing on integrating these tools into everyday applications. Companies are developing chatbots that support multiple languages and dialects, catering to China's diverse linguistic landscape. The integration of AI chatting software with e-commerce platforms is also prevalent, enabling personalized shopping experiences and customer support. Additionally, Chinese tech firms are exploring AI for social media management, improving user engagement through automated responses and content generation.
  • Germany: Germany's AI chatting software market is characterized by a strong emphasis on data privacy and compliance with stringent regulations. German companies are focusing on developing AI chatbots that adhere to GDPR standards and ensure secure handling of user data. There is also increased interest in integrating AI with industrial applications, such as customer support for manufacturing and logistics. The use of AI to provide multilingual support and improve customer service efficiency is a growing trend in the German market.
  • India: In India, the AI chatting software market is expanding rapidly due to increasing adoption across various sectors. Startups and established companies alike are developing AI chatbots to enhance customer support and streamline business processes. There is a notable focus on creating affordable, scalable solutions that cater to the diverse needs of Indian businesses. The integration of AI with mobile applications is also on the rise, facilitating improved customer interactions and service delivery in the rapidly growing digital economy.
  • Japan: Japan's AI chatting software market is distinguished by its emphasis on integrating AI with robotics and automation. Companies are developing advanced chatbots that can interact with users through both text and voice, and they are exploring the use of AI in customer service robots. Innovations in natural language understanding and sentiment analysis are enhancing the ability of chatbots to provide more empathetic and contextually relevant responses. The trend toward creating culturally tailored AI solutions that fit Japanese social norms and business practices is also prominent.

Features of the Global AI Chatting Software Market

Market Size Estimates: Ai chatting software market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Ai chatting software market size by type, application, and region in terms of value ($B).

Regional Analysis: Ai chatting software market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the AI chatting software market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI chatting software market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

If you are looking to expand your business in this or adjacent markets, then contact us. We have done hundreds of strategic consulting projects in market entry, opportunity screening, due diligence, supply chain analysis, M & A, and more.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the AI chatting software market by type (simple conversational, article generation, search engine crawling, comprehensive, and others), application (commercial customer service, educational assistance, medical care, media & entertainment, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global AI Chatting Software Market : Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Global AI Chatting Software Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Global AI Chatting Software Market by Type
    • 3.3.1: Simple Conversational
    • 3.3.2: Article Generation
    • 3.3.3: Search Engine Crawling
    • 3.3.4: Comprehensive
    • 3.3.5: Others
  • 3.4: Global AI Chatting Software Market by Application
    • 3.4.1: Commercial Customer Service
    • 3.4.2: Educational Assistance
    • 3.4.3: Medical Care
    • 3.4.4: Media & Entertainment
    • 3.4.5: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Global AI Chatting Software Market by Region
  • 4.2: North American AI Chatting Software Market
    • 4.2.1: North American AI Chatting Software Market by Type: Simple Conversational, Article Generation, Search Engine Crawling, Comprehensive, and Others
    • 4.2.2: North American AI Chatting Software Market by Application: Commercial Customer Service, Educational Assistance, Medical Care, Media & Entertainment, and Others
  • 4.3: European AI Chatting Software Market
    • 4.3.1: European AI Chatting Software Market by Type: Simple Conversational, Article Generation, Search Engine Crawling, Comprehensive, and Others
    • 4.3.2: European AI Chatting Software Market by Application: Commercial Customer Service, Educational Assistance, Medical Care, Media & Entertainment, and Others
  • 4.4: APAC AI Chatting Software Market
    • 4.4.1: APAC AI Chatting Software Market by Type: Simple Conversational, Article Generation, Search Engine Crawling, Comprehensive, and Others
    • 4.4.2: APAC AI Chatting Software Market by Application: Commercial Customer Service, Educational Assistance, Medical Care, Media & Entertainment, and Others
  • 4.5: ROW AI Chatting Software Market
    • 4.5.1: ROW AI Chatting Software Market by Type: Simple Conversational, Article Generation, Search Engine Crawling, Comprehensive, and Others
    • 4.5.2: ROW AI Chatting Software Market by Application: Commercial Customer Service, Educational Assistance, Medical Care, Media & Entertainment, and Others

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for the Global AI Chatting Software Market by Type
    • 6.1.2: Growth Opportunities for the Global AI Chatting Software Market by Application
    • 6.1.3: Growth Opportunities for the Global AI Chatting Software Market by Region
  • 6.2: Emerging Trends in the Global AI Chatting Software Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global AI Chatting Software Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI Chatting Software Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: Xiaoice
  • 7.2: DialoGPT
  • 7.3: Mitsuku
  • 7.4: Meena(Base)
  • 7.5: Blender
  • 7.6: Enlightenment
  • 7.7: NMT
  • 7.8: Dialogflow
  • 7.9: Bold360 Ai
  • 7.10: ChatGPT