Press release
Generative AI Market Size, Share,Trend,Industry, Forecast and outlook (2024-2031)
Furthermore, the growing popularity of generative AI for supporting chatbots in conducting productive discussions and improving customer happiness is driving market growth. During the forecast period 2023-2030, Asia-Pacific is expected to have the strongest growth, accounting for almost 1/4th of the global generative AI market. Leading companies in Asia-Pacific are beginning to investigate the generative AI capabilities and identify their goals. In February 2023, Panasonic Connect, for example, introduced an AI virtual assistant for its 12,500 employees in Japan.Download Free PDF Sample -https://www.datamintelligence.com/download-sample/generative-ai-market
Market Dynamics
The growing popularity of generative AI in the healthcare sector to develop items like as prosthetic limbs and organic molecules from scratch via 3D printing, CRISPR and other technologies is anticipated to be the primary driver of market growth. Furthermore, it allows for the early detection of potential cancers, resulting in more successful treatment strategies. Another key growth reason is the need for technology to aid chatbots in increasing customer satisfaction. For example, in January 2023, Nvidia launched a new generative AI model capable of creating proteins for use in medicine and other industries in partnership with Evozyne, a pharmaceutical business. The novel protein transformer variational auto-encoder (ProT-VAE) is based on Nvidia's BioNeMo framework and employs generative AI to quickly generate synthetic protein designs that fit within the parameters provided. Such tactical considerations are encouraging market growth.
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Segment Analysis
The global generative AI market is segmented based on component, technology, model, application, end-user and region.The Growing Advancements in NLP During the forecast period, natural language processing (NLP) is expected to hold around 1/4th of the global generative AI market. NLP is a powerful generative AI technique with wide applications in text and speech generation. The rise in advancements in NLP is related to the segment's expansion. Large language models help in reducing the time and expense associated with developing NLP applications. Large language models, such as ChatGPT, have gained popularity in NLP.Deep learning developments have led to the development of neural NLP models such as Recurrent Neural Networks (RNNs) and transformer models such as BERT produced by Google AI Language researchers and GPT-3 developed by OpenAI, a U.S.-based AI startup. The models improved the accuracy and efficiency of NLP-based generative AI applications, accelerating the segment's growth.
Competitive Landscape
The major global players include Adobe Inc., Amazon Web Services, Inc., Genie AI Ltd., Google LLC, IBM Corporation, Microsoft Corporation, MOSTLY AI Inc., Rephrase.ai, Synthesia and Speechify.
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