{"id":122049,"date":"2023-08-25T12:59:35","date_gmt":"2023-08-25T16:59:35","guid":{"rendered":"https:\/\/v2fr5er78d.funnewsdaily.com\/books\/generative-ai-market-to-reach-191-8-billion-globally-by-2032-at-34-1-cagr-allied-market-research\/"},"modified":"2023-08-25T12:59:35","modified_gmt":"2023-08-25T16:59:35","slug":"generative-ai-market-to-reach-191-8-billion-globally-by-2032-at-34-1-cagr-allied-market-research","status":"publish","type":"post","link":"https:\/\/v2fr5er78d.funnewsdaily.com\/books\/generative-ai-market-to-reach-191-8-billion-globally-by-2032-at-34-1-cagr-allied-market-research\/","title":{"rendered":"Generative AI Market to Reach $191.8 Billion, Globally, by 2032 at 34.1% CAGR: Allied Market Research"},"content":{"rendered":"

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The global generative AI market is driven by advancements in deep learning, personalization and customization needs, and advancements in deep learning. <\/h2>\n

Portland, OR, Aug. 22, 2023 (GLOBE NEWSWIRE) — Allied Market Research published a report, titled,\u00a0\u201cGenerative AI Market<\/u><\/a><\/strong> by Component (Software and Services), Technology (Generative Adversarial Networks (GANs), Transformer, Variational Autoencoder (VAE), Diffusion Networks, and Retrieval Augmented Generation), and End User (Media & Entertainment, BFSI, IT & Telecom, Healthcare, Automotive & Transportation, and Others): Global Opportunity Analysis and Industry Forecast, 2022-2032\u201d.\u00a0According to the report, the global Generative AI industry generated $ 10.5 billion in 2022 and is anticipated to generate $ 191.8\u00a0billion by 2032, witnessing a CAGR of 34.1% from 2023 to 2032. \u00a0\u00a0<\/p>\n

Generative AI is a sector within artificial intelligence that concentrates on the creation or production of novel content, encompassing authentic and real-time images, text, music, and videos. This field involves the training of machine learning models to comprehend and assimilate patterns within existing data, which can then be utilized to generate fresh and distinct content. Generative AI methodologies frequently leverage advanced deep learning algorithms like generative adversarial networks (GANs) and variational auto-encoders (VAEs) to fabricate content that closely mirrors the input data. These models grasp the fundamental patterns and structures inherent in the training data, enabling them to originate new content by extrapolating from acquired knowledge.\u00a0
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Prime Determinants of Growth<\/strong>\u00a0\u00a0<\/p>\n

The global generative AI market is driven by advancements in deep learning, personalization and customization needs, and advancements in deep learning. However, ethical and privacy concerns and high computational complexity restrain market growth. Nevertheless, integration of generative AI in industry-specific applications is expected to provide remunerative growth opportunities in the upcoming years.\u00a0<\/p>\n

Download Sample Report: https:\/\/www.alliedmarketresearch.com\/request-sample\/47870<\/u><\/a><\/strong><\/p>\n

Report Coverage & Details:\u00a0<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
Report Coverage\u00a0<\/td>\nDetails\u00a0<\/td>\n<\/tr>\n
Forecast Period\u00a0<\/td>\n2023\u20132032\u00a0<\/td>\n<\/tr>\n
Base Year\u00a0<\/td>\n2022<\/td>\n<\/tr>\n
Market Size in 2022\u00a0<\/td>\n$10.5 Billion\u00a0\u00a0<\/td>\n<\/tr>\n
Market Size in 2032\u00a0<\/td>\n$191.8 Billion\u00a0<\/td>\n<\/tr>\n
CAGR\u00a0<\/td>\n34.1%\u00a0<\/td>\n<\/tr>\n
No. of Pages in Report\u00a0<\/td>\n296\u00a0<\/td>\n<\/tr>\n
Segments Covered\u00a0<\/td>\nComponent, Technology, End User, and Region.<\/td>\n<\/tr>\n
Drivers \u00a0<\/td>\nAdvancements in deep learning. \u00a0<\/p>\n

Growing demand for AI-generated content.\u00a0<\/p>\n

Personalization and customization need.<\/p>\n<\/td>\n<\/tr>\n

Opportunities\u00a0<\/td>\nIntegration of generative AI in industry-specific applications\u00a0<\/td>\n<\/tr>\n
Restraints\u00a0<\/td>\nEthical and privacy concerns\u00a0<\/p>\n

High computational complexity\u00a0<\/p>\n<\/td>\n<\/tr>\n<\/table>\n

COVID-19 Scenario\u00a0<\/strong><\/p>\n