GENERATIVE AI MARKET SIZE AND SHARE ANALYSIS - GROWTH TRENDS AND FORECASTS (2024-2031)
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.
Key features of the study:
- This report provides in-depth analysis of the global generative AI market, and provides market size (US$ Billion) and compound annual growth rate (CAGR%) for the forecast period (2024–2031), considering 2023 as the base year
- It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
- This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players
- It profiles key players in the global generative AI market based on the following parameters – company highlights, products portfolio, key highlights, financial performance, and strategies
- Key companies covered as a part of this study include Abacus.AI, Accenture, Adobe, Adept, AI21 Labs, Amazon Web Services (AWS), Anthropic, Character.ai, Cohere, Google, Hugging Face, IBM, Insilico Medicine, Microsoft, and NVIDIA
- Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
- Global generative AI market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
- Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global generative AI market
Detailed Segmentation-
Detailed Segmentation-
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