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The vision transformers market is projected to grow from USD 0.2 billion in 2023 to USD 1.2 billion by 2028 at a growth rate of 34.2% during the forecast period. Integrating AI and deep learning techniques has significantly improved the capabilities of computer vision systems. AI enables machines to interpret and understand visual data, which has numerous applications in healthcare, automotive, and retail industries.

Top Vision Transformers Companies include

• Google (US)
• Meta (US)
• Microsoft (US)
• AWS (US)
• OpenAI (US) and many more....

These companies are utilizing Vision Transformers to enhance the performance and capabilities of computer vision systems, pushing the boundaries of what AI can achieve in visual tasks. .

To know about the assumptions considered for the study download the pdf brochure

Google

Google specializes in Internet-related services and products. It functions through three business segments: Google Advertising, Google Other, and Other Bets. The company is in the US, the UK, and the Rest of the World (RoW). Google caters to a large customer base spread across the globe through a global network of service providers, distributors, and cloud resellers. The company caters to various industry verticals such as retail, consumer-packed goods, financial services, healthcare and life sciences, media and entertainment, telecom, gaming, manufacturing, supply chain and logistics, government, and education. Google holds a significant position in the vision transformers market. In 2020, Google AI researchers pioneered the Vision Transformer (ViT) architecture, leading to the subsequent release of various ViT-based products and services.

Furthermore, Google provides diverse pre-trained ViT models suitable for multiple vision-related tasks. These models are readily accessible on TensorFlow Hub and are compatible with both the TensorFlow and PyTorch machine learning frameworks. Google remains dedicated to advancing the forefront of vision transformer technology. Google’s AI researchers are actively developing novel ViT architectures and training methodologies, with a parallel focus on enhancing the efficiency and accessibility of ViT models for a broader user base.

Meta

Meta, formerly known as Facebook, is a social media website or web page, commercial, and predictive analytics company. The company builds augmented reality, enabling people to interact and communicate with technologies throughout its virtual-reality goal, the metaverse. Meta is a public company listed on the NASDAQ under FB’s ticker. The company’s main products include Meta, Instagram, Messenger, WhatsApp, and Oculus. Meta has offices and data centers across 30 countries, with 40 sales offices worldwide. It generates the most revenue from advertising, such as displaying customer ads on Instagram and Meta. The company helps its potential customers based on age, gender, place, hobbies, and activities by selling ad slots.

Meta mainly generates revenue from selling ads on its platform to allow marketers to target specific users and increase their market reach, thereby acquiring, engaging, and retaining customers through payments and other fees. It also has multiple investments in connectivity efforts, AI, and augmented reality to develop and strengthen the technological base to serve its end users better. Among other technologies, Meta uses built-in NLP to understand and extract meaningful information from the user interactions on its platform. It heavily focuses on breaking down language barriers worldwide for everyone by deploying robust language translation solutions through R&D on deep learning, neural networks, NLP, language identification, image generation, text normalization, word sense disambiguation, and ML. Meta’s DINOv2 is a self-supervised learning (SSL) framework developed by Meta AI for training vision transformers.

Microsoft

Microsoft, headquartered in Redmond, Washington, is a global leader in software, services, devices, and solutions. Founded by Bill Gates and Paul Allen in 1975, the company is renowned for its Windows operating system and Microsoft Office suite. Microsoft has significantly expanded its portfolio to include cloud computing through Microsoft Azure, artificial intelligence, and hardware products such as the Surface series and Xbox gaming consoles. Azure AI, part of its cloud services, integrates advanced machine learning models, including Vision Transformers, to enhance image and video processing capabilities. The company is committed to innovation and has a strong focus on research and development to drive advancements in technology across various sectors.

AWS

Amazon Web Services (AWS), a subsidiary of Amazon, is the world’s leading cloud services platform, offering over 200 fully featured services from data centers globally. Launched in 2006, AWS provides services in computing power, storage, and databases, along with machine learning and artificial intelligence tools. AWS's AI services, such as Amazon Rekognition, utilize advanced machine learning models to analyze images and videos, providing functionalities like facial recognition, object detection, and scene understanding. AWS supports numerous applications across various industries, from startups to large enterprises, helping them scale and innovate with robust, secure, and scalable cloud solutions.

OpenAI

OpenAI, based in San Francisco, California, is an artificial intelligence research organization known for its mission to ensure that artificial general intelligence (AGI) benefits all of humanity. Founded in 2015 by Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and others, OpenAI has been at the forefront of AI research and development. The organization has developed groundbreaking models like GPT (Generative Pre-trained Transformer) and has significantly contributed to the field of natural language processing. OpenAI also explores other areas, including reinforcement learning and robotics, with a focus on creating safe and ethical AI. Their research aims to push the boundaries of what AI can achieve while addressing the potential societal impacts of advanced AI technologies.

Related Reports:

Vision Transformers Market by Offering (Solutions, Professional Services), Application (Image Segmentation, Object Detection, Image Captioning), Vertical (Media & Entertainment, Retail & eCommerce, Automotive) and Region - Global Forecast to 2028