The AI Chatbot Market is being driven by Surging demand for enhanced and personalized customer experience
The AI Chatbot Market is expected to grow at a CAGR of 24.3% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 3791.9 million. The AI chatbot market is experiencing a significant shift towards the adoption of generative artificial intelligence and large language models (LLMs). This trend signifies a transition from traditional scripted chatbots to sophisticated conversational agents capable of generating contextually aware and human-like responses in real time. Unlike previous chatbots that relied on predefined rules, generative AI chatbots leverage advanced deep learning models, such as transformer architectures, to comprehend intricate user queries, retain conversational memory, and produce original content, including text, code, and creative materials. This technological advancement expands the scope of chatbots beyond basic customer service functions to encompass complex capabilities like content creation, language translation, and in-depth data analysis.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
255 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 24.3% |
Market growth 2025-2029 |
USD 3791.9 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
23.2 |
Key countries |
US, Germany, China, UK, Canada, Japan, France, South Korea, Brazil, and India |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The AI chatbot market encompasses advanced technologies such as large language models, neural network architectures, and various machine learning techniques including reinforcement learning, supervised learning, and unsupervised learning. Other key components include transfer learning, fine-tuning techniques, data augmentation methods, word embeddings, contextual embeddings, semantic parsing, discourse analysis, topic modeling, information retrieval, knowledge representation, reasoning mechanisms, question answering systems, dialogue state tracking, policy learning, user simulation, and performance monitoring. Additionally, cost optimization, privacy preservation, explainable AI, and model interpretability are crucial considerations in the development and deployment of AI chatbots.
The global IT software market encompasses businesses specializing in the creation and distribution of application and system software. This sector includes enterprises developing software for specific business or consumer applications, such as enterprise and technical software, as well as cloud-based solutions. Notably excluded are companies in the interactive home entertainment industry and those producing systems or database management software. According to Technavio, the IT software market size is determined by the consolidated revenue of organizations providing all types of software, including cloud services, leveraging advanced technologies like natural language processing, machine learning models, deep learning algorithms, and conversational AI systems.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
Jesse Maida
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