What are the latest figures on the generative ai in computer vision market’s size and projected CAGR?
The generative AI in computer vision market size has grown exponentially in recent years. It will grow from $7.8 $ billion in 2024 to $10.76 $ billion in 2025 at a compound annual growth rate (CAGR) of 38.0%. The growth in the historic period can be attributed to advancements in deep learning, generative adversarial networks (GANs), increased computational power, large-scale datasets, and improvements in training techniques.
The generative AI in computer vision market size is expected to see exponential growth in the next few years. It will grow to $38.67 $ billion in 2029 at a compound annual growth rate (CAGR) of 37.7%. The growth in the forecast period can be attributed to growing adoption in various industries, rising demand for synthetic data, improvements in hardware capabilities, increased investment and funding, and enhanced computational efficiency. Major trends in the forecast period include enhanced image and video synthesis, improved augmented and virtual reality, content creation and personalization, data augmentation for training, and healthcare imaging.
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Which Market drivers have played a significant role in driving the generative ai in computer vision market?
Increasing adoption of AI in various industries is expected to propel the growth of generative AI in computer vision market going forward. The adoption of AI is growing due to its ability to automate complex tasks, improve efficiency and accuracy, and derive actionable insights from vast amounts of data, driving innovation and competitive advantage. AI in generative computer vision creates realistic images and visual content by learning patterns from existing data, enabling applications such as image synthesis, enhancement, and transformation. For instance, in January 2024, according to a survey of 8,584 IT professionals conducted by International Business Machines Corporation (IBM), a US-based technology company, around 42% of organizations with over 1,000 employees had actively integrated AI into their operations. Additionally, 40% are currently exploring or experimenting with AI, reflecting significant interest in the technology. Among early adopters, 59% plan to boost their AI investments, underscoring a trend toward rapid adoption. Therefore, the increasing adoption of AI in various industries is driving the growth of generative AI in computer vision market.
What are the key segments within 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: Healthcare, 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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Which key players are shaping the generative ai in computer vision market?
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.
Which transformative trends will shape the generative ai in computer vision market landscape?
Major companies operating in generative AI in the computer vision market are increasing their focus on developing innovative solutions, such as advanced data synthesis solutions, to gain a competitive edge in the market. Advanced Data Synthesis refers to the capability of generative models to create realistic and high-quality synthetic images or visual data. For instance, in October 2023, Tech Mahindra, an India-based information technology services and consulting company, launched Vision amplifAIer, a generative AI-powered solution designed to serve as a smart data scientist for business analysts. This tool is part of Tech Mahindra’s TechM amplifAI 0->8 suite, which aims to improve computer vision applications within enterprises. The Vision Amplifier streamlines the workflow of computer vision projects by reducing the time spent on essential tasks such as data pre-processing, use case understanding, and model training. It enables a techno-functional workforce to develop computer vision use cases without requiring extensive data science skills, thereby facilitating the scaling of AI initiatives across organizations. The solution incorporates generative AI capabilities, allowing users to create synthetic data and repurpose existing models through transfer learning.
How do regional factors impact the generative ai in computer vision market, and which region is the largest contributor?
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.
What Does The Generative AI in Computer Vision Market Report 2025 Offer?
The generative ai in computer vision market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Generative artificial intelligence (AI) in computer vision refers to the use of advanced algorithms to create new images, enhance image quality, and perform tasks such as image synthesis, image-to-image translation, and data augmentation. These models learn from vast amounts of visual data to generate realistic images or transform existing images in innovative ways, enabling applications such as realistic photo editing, virtual reality, medical imaging enhancements, and creating training data for other AI models.
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