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Growing AI Adoption Driving Expansion In generative AI For Computer Vision: A Significant Driver Propelling The Generative AI in Computer Vision Market In 2025

06-03-2025 08:04 AM CET | IT, New Media & Software

Press release from: The Business Research Company

Generative AI in Computer Vision Market Size

Generative AI in Computer Vision Market Size

The Generative AI in Computer Vision Market Report by The Business Research Company delivers a detailed market assessment, covering size projections from 2025 to 2034. This report explores crucial market trends, major drivers and market segmentation by [key segment categories].

What Is the Generative AI in Computer Vision Market Size and Projected Growth Rate?
The generative AI in computer vision market size will grow from $7.8 billion in 2024 to $10.76 billion in 2025, with a CAGR of 38.0%. The historic growth is attributed to advancements in deep learning, generative adversarial networks (GANs), more computational power, access to large-scale datasets, and improvements in training techniques.

The generative AI in computer vision market size is expected to grow exponentially to $38.67 billion in 2029 at a CAGR of 37.7%. The growth is fueled by increasing adoption across industries, demand for synthetic data, improvements in hardware, investment influx, and enhanced computational efficiency. Key trends include enhanced image and video synthesis, augmented and virtual reality improvements, content creation, data augmentation for training, and healare imaging.

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What Are the Major Segments in the Generative AI in Computer Vision Market?
The generative AI in computer visionmarket covered in this report is segmented -

1) By Technology: Deep Learning, Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Other Technologies
2) By Application: Content Creation and Enhancement, Image And Video Synthesis, Image-to-Image Translation, Style Transfer, Other Applications
3) By Industry Vertical: Healare, Automotive, Retail, Entertainment and Media, Manufacturing, Other Industry Verticals

Subsegments:
1) By Deep Learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers, Generative Pretrained Transformers (GPT), Self-Supervised Learning (SSL)
2) By Generative Adversarial Networks (GANs): StyleGANs, CycleGANs, Progressive GANs, Conditional GANs, BigGANs
3) By Variational Autoencoders (VAEs): Disentangled VAEs, Beta-VAEs, Conditional VAEs (CVAEs), Semi-Supervised VAEs, Vector Quantized VAEs (VQ-VAE)
4) By Diffusion Models: Autoregressive Models, Flow-Based Models, Neural Radiance Fields (NeRF), Sparse Coding and Dictionary Learning

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What Are The Driving Generative AI in Computer Vision Market Evolution?
Growing AI integration across industries is likely to propel the generative AI in computer vision market. AI improves automation, accuracy, and insight generation. Generative AI in computer vision enables realistic image creation and enhancement. In January 2024, IBM reported that 42% of large companies had already adopted AI, with 59% of early adopters planning to increase investments. This trend supports the market.

Which Firms Dominate The Generative AI in Computer Vision Market Segments?
Major companies operating in the generative AI in computer vision market are Apple Inc., Samsung Electronics, Microsoft Corporation, Alibaba Group Holding Limited, Amazon Web Services (AWS) Inc., Siemens AG, Intel Corporation, International Business Machines Corporation, Qualcomm Incorporated, NVIDIA Corporation, Adobe Inc., Baidu Inc., Hikvision, Xilinx Inc., OpenAI, NEC Corporation, Cognex Corporation, Xnor.ai, Clarifai, Vicarious AI, Visenze, Runway AI inc.

What Are the Latest Developing Trends in the Generative AI in Computer Vision Market?
Companies in the generative AI for computer vision market are concentrating on advanced data synthesis solutions to stay competitive. These solutions involve generative models that create realistic, high-quality synthetic visual data. For example, in October 2023, Tech Mahindra launched Vision amplifAIer, a generative AI tool aimed at enhancing computer vision applications. This tool is part of the TechM amplifAI 0->8 suite and helps automate tasks such as data pre-processing, use case understanding, and model training, making it easier for enterprises to develop computer vision projects without extensive data science expertise.

Get the full report for exclusive industry analysis:
https://www.thebusinessresearchcompany.com/report/generative-ai-in-computer-vision-global-market-report

Which Is The Largest Region In The Generative AI in Computer Vision Market?
North America was the largest region in the generative AI in computer vision market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in computer vision market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the Generative AI in Computer Vision Market?
2. What is the CAGR expected in the Generative AI in Computer Vision Market?
3. What Are the Key Innovations Transforming the Generative AI in Computer Vision Industry?
4. Which Region Is Leading the Generative AI in Computer Vision Market?

Why This Report Matters:

Competitive overview: This report analyzes the competitive landscape of the 3D imaging software market, evaluating key players on market share, revenue, and growth factors.

Informed Decisions: Understand key strategies related to products, segmentation, and industry trends.

Efficient Research: Quickly identify market growth, leading players, and major segments.

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Contact Us
Europe: +44 207 1930 708,
Asia: +91 88972 63534,
Americas: +1 315 623 0293 or
Email: mailto:info@tbrc.info

Learn More About The Business Research Company
With over 15,000+ reports from 27 industries covering 60+ geographies, The Business Research Company has built a reputation for offering comprehensive, data-rich research and insights. Our flagship product, the Global Market Model delivers comprehensive and updated forecasts to support informed decision-making.

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