Unveiling the Future: Generative AI Market to USD 12 Million Value in 2022 Forecast by 2030, Featuring a CAGR of 29.6% - MarkNtel Advisors
Market Overview: Global Generative AI Market
MarkNtel Advisors, a leading consulting, data analytics, and market research firm that provides an extensive range of strategic reports on diverse industry verticals. Recently published a report on the Global Generative AI Market and provide your business with the latest market trends and analysis from our reports to make informed decisions and stay ahead of the competition.
Generative AI Market Insights 2024-30
The Global Generative AI Market size was valued at around USD 12 million in 2022 and is estimated to grow at a CAGR of about 29.6% during the forecast period, i.e., 2024-30.
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Top Players in the Generative AI Market:
- IBM Corporation
- Google LLC
- Amazon Web Services
- Adobe
- Adobe
- ai
- Meta
- Genie AI Ltd.
- MOSTLY AI Inc.
- NVIDIA
- Insilico Medicine
- Open AI
- Synthesia
- Giphy
- Lumen 5
- Others
Segmentation Analysis of Generative AI Market
Generative AI Market exactly assesses and highlights significant trends and influencing factors within each segment. The comprehensive analysis extends its predictions for the period spanning 2024-30, focusing on the national landscape. The market is exactly categorized based on this analysis, providing valuable insights into its various facets.
-By End User
- Media & Entertainment
- BFSI
- Healthcare
- IT & Telecom
- Others (Automotive & Transportation, Gaming, etc.)
The Media & Entertainment segment held a considerable share in the past years & accounted for potential revenue growth of the Generative AI Market during the projected period. The fueling adoption of the generative Al to create better advertisement campaigns probably increases the mandate for this technology in the media & entertainment sector. Moreover, the usage of generative AI for applications like image and video generation, special effects, and virtual environments is also pushing the demand graph.
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-By Component
- Software- Market Size & Forecast 2019-2030F, USD Million
- Service- Market Size & Forecast 2019-2030F, USD Million
-By Technology
- Generative Adversarial Networks (GANs)- Market Size & Forecast 2019-2030F, USD Million
- Transformers- Market Size & Forecast 2019-2030F, USD Million
- Variational Autoencoder (VAE)- Market Size & Forecast 2019-2030F, USD Million
- Diffusion Networks- Market Size & Forecast 2019-2030F, USD Million
- Retrieval Augmented Generation- Market Size & Forecast 2019-2030F, USD Million
-By Application- Market Size & Forecast 2019-2030F, USD Million
- Computer Vision- Market Size & Forecast 2019-2030F, USD Million
- NLP- Market Size & Forecast 2019-2030F, USD Million
- Robotics & Automation- Market Size & Forecast 2019-2030F, USD Million
- Content Generation- Market Size & Forecast 2019-2030F, USD Million
- Others (Chatbots & Intelligent Virtual Assistants, Predictive Analysis, etc.)- Market Size & Forecast 2019-2030F, USD Million
-By Model
- Large Language Models- Market Size & Forecast 2019-2030F, USD Million
- Image & Video Generative Models- Market Size & Forecast 2019-2030F, USD Million
- Multi-model Generative Models- Market Size & Forecast 2019-2030F, USD Million
- Others (Text-to-Text Generative Models, Audio Generative Models, etc.)- Market Size & Forecast 2019-2030F, USD Million
A Comprehensive Geographical Analysis:
-By Region
- North America
- South America
- Europe
- The Middle East & Africa
- Asia-Pacific
North America held the largest share of around 40.2% in 2022 and is anticipated to grow at the fastest pace over the future years. This is due to the rise in pseudo-imagination & medical care and surging banking scams. The presence of numerous key players such as Google LLC, Meta, Nvidia, OpenAI, Microsoft, and other developed technology organizations is also aiding in uplifting the market's growth graph.
The North America Generative AI Market is experiencing the impact of growing content in the media and entertainment industry, the expanding use of AI in healthcare, and various other key sectors. Additionally, the abundance of data available for training generative models is contributing to the increased adoption of generative AI across the regional scale.
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