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Vision Transformers Market Size, Share & Trends Analysis Report By Offering (Solutions, Professional Services), By Application (Image Classification, Image Captioning, Object Detection), By End Use, By Region, And Segment Forecasts, 2024 - 2030
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Vision Transformers Market Size & Trends:

The global vision transformers market size was valued at USD 217.5 million in 2023 and is expected to grow at a CAGR of 33.6% from 2024 to 2030. Vision Transformer (ViTs) is an extension of the transformer architecture, originally successful in natural language processing (NLP). Their adaptability to visual data has led to significant interest in integrating ViTs with deep learning frameworks for more advanced AI applications. The market demand for vision transformers is growing due to their superior performance in handling complex visual tasks, advancements in AI and hardware, and increasing application across various industries, such as healthcare, automotive, and consumer electronics.

The shift toward edge computing, where data processing occurs closer to the data source, created a demand for efficient and powerful vision models. Vision transformers are being optimized for edge deployment, where they can process visual data in real-time, reducing the need for cloud-based computation. In numerous applications such as drones and surveillance systems, where latency and power consumption are crucial, Vision transformers provide the necessary processing power while maintaining energy efficiency.

The demand for augmented reality (AR), virtual reality (VR), and metaverse applications is increasing. Vision transformers are being used to create more immersive and responsive visual experiences, as they can handle complex image-processing tasks required for these applications. Ongoing research in AI and machine learning is leading to continuous improvements in vision transformer models. Innovations such as more efficient architectures, better training methods, and pre-trained models are making ViTs more accessible and powerful. The rise of AI-specific hardware, including custom chips designed for deep learning tasks, further enhances the efficiency and performance of Vision Transformers, driving their adoption in both data centers and edge devices.

Global Vision Transformers Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global vision transformers market report based on offering, application, end use, and region.

Table of Contents

Chapter 1. Methodology and Scope

Chapter 2. Executive Summary

Chapter 3. Vision Transformers Market Variables, Trends, & Scope

Chapter 4. Vision Transformers Market: Offering Estimates & Trend Analysis

Chapter 5. Vision Transformers Market: Application Estimates & Trend Analysis

Chapter 6. Vision Transformers Market: End Use Estimates & Trend Analysis

Chapter 7. Vision Transformers Market: Regional Estimates & Trend Analysis

Chapter 8. Competitive Landscape

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