Generative AI refers to artificial intelligence systems that are created to generate new content such as images, videos, speech, text, music, and others based on sample training data. Increasing demand for AI generation in domains such as digital art, deepfakes, natural language generation, programming and research can drive the global generative AI market growth. Growing investments and initiatives pertaining to AI technology innovations across various sectors can drive the market growth. However, concerns regarding deepfakes and manipulation along with technical limitations can pose challenges for wider adoption of generative AI in some applications. Advancements in deep learning algorithms coupled with rising data volumes can offer new growth opportunities for generative AI technology.
Market Dynamics:
Global generative AI market growth is driven by growing investment and initiative towards AI innovation across different sectors. Increasing social media usage and rising demand for digital art generation have stimulated investments in generative AI startups. However, technical challenges pertaining to complex deep learning models and data requirements can hamper the market growth. Deepfake concerns and risks of AI manipulation if misused can impede broader commercialization of generative AI. Continued deep learning breakthroughs expand generative AI applications in novel areas. Growing ability to synthesize human-level texts, images and videos provide new growth opportunities. Use of generative modeling for drug discovery, quantum computing research and enhancing creativity are opening up new vistas for generative AI. Such advancing applications coupled with rising investments can present lucrative prospects over the forecast period.
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