Vision Transformers Market Size, Share, Growth & Industry Analysis, By Offering (Solution, Services), By Application (Image Classification, Image Captioning, Image Segmentation, Others), By End-Use Industry (Healthcare & Life Sciences, Retail and E-commerce, Automotive, Government and Defense, Others), and Regional Analysis, 2024-2031

Market Definition

The market encompasses the development and application of vision transformer models for image and video processing. ViTs excel in capturing long-range dependencies and contextual relationships, making them suitable for image classification, object detection, and scene understanding. Their capabilities are driving advancements in AI-powered computer vision applications across various industries.

Vision Transformers Market Overview

Global vision transformers market size was valued at USD 214.7 million in 2023, which is estimated to be valued at USD 276.3 million in 2024 and reach USD 1,993.0 million by 2031, growing at a CAGR of 32.62% from 2024 to 2031.

Superior performance in complex tasks, such as image recognition and natural language processing, drives the growth of the market by delivering enhanced accuracy, scalability, and efficiency over traditional methods.

Major companies operating in the vision transformers industry are Google LLC, OpenAI OpCo, LLC, Meta, NVIDIA Corporation, LeewayHertz, Microsoft, Qualcomm Technologies, Inc., viso.ai, Clarifai, Inc., QUADRIC, Datature, Apple Inc., Innova Solutions, V7 Ltd, Ultralytics Inc, and others.

The market has quickly advanced, emerging as a key player in computer vision. Their strength lies in capturing long-range dependencies, offering greater flexibility and scalability than traditional models.

With continuous advancements in deep learning and AI technologies, ViTs are gaining traction across healthcare, automotive, and security industries. As demand for high-accuracy, real-time image processing solutions rises, ViTs are emerging as a preffered choice for AI-driven vision solutions.

• In January 2024, Apple’s research optimized vision transformers (ViTs) for the Apple Neural Engine (ANE), improving processing speeds and reducing latency. Innovations like local attention blocks, alternative positional embeddings, and efficient tensor partitioning enhanced ViT performance, benefitting applications such as image classification and object segmentation.

Key Highlights:

1. The vision transformers industry size was recorded at USD 214.7 million in 2023.
2. The market is projected to grow at a CAGR of 32.62% from 2024 to 2031.
3. North America held a share of 36.31% in 2023, valued at USD 77.9 million.
4. The solution segment garnered USD 124.9 million in revenue in 2023.
5. The image classification segment is expected to reach USD 668.9 million by 2031.
6. The healthcare & life sciences segment is anticipated to witness the fastest CAGR of 34.41% over the forecast period
7. Asia Pacific is anticipated to grow at a CAGR of 33.70% through the projection period.

Market Driver

"Superior Performance in Complex Tasks"

The ability of ViTs to achieve higher accuracy in complex computer vision tasks is fueling the growth of the vision transformers market. ViTs effectively capture global relationships within an image, while CNNs primarily detect local patterns such as edges and textures.

This capability enables ViTs to process complex visual data more efficiently, leading to their widespread adoption across various industries.

• In May 2024, Datature launched its first wave of vision transformers for custom model training and fine-tuning in semantic segmentation: Mask2Former and SegFormer. These models and their variants set new benchmarks in semantic segmentation performance.

Market Challenge

"Memory Constraints"

Memory constraints present a significant challenge to the growth of the vision transformers market, particularly for large models handling high-resolution data. These models require substantial memory for processing multiple tokens and layers, limiting deployment on resource-constrained devices.

To address this challenge, techniques such as local attention, which partitions images into smaller segments, and optimized tensor layouts improve memory efficiency, reduce processing time, and enable seamless deployment while maintaining accuracy across diverse devices.

Market Trend

"Expansion into Specialized Applications"

The expansion of ViT into specialized domains such as digital pathology is emerging as a notable trend in the vision transformers market. These advanced models are adopted for precision diagnostics, enhancing image analysis accuracy in applications such as tumor detection and classification.

By processing large-scale, high-resolution medical images, the market is witnessing a shift toward efficient, automated systems that improve healthcare delivery and patient outcomes.

• In May 2024, Microsoft launched GigaPath, a specialized vision transformer for digital pathology. Developed in collaboration with Providence Health System and the University of Washington, Prov-GigaPath is designed to analyze whole-slide images, enhancing cancer diagnosis. With advanced performance in cancer subtyping and pathomics tasks, it’ aims to transform precision healthcare.

Vision Transformers Market Report Snapshot

Market Segmentation

• By Offering (Solution and Services): The solution segment earned USD 124.9 million in 2023 due to increasing demand for faster and more efficient image recognition technologies.
• By Application (Image Classification, Image Captioning, Image Segmentation, Object Detection, and Others): The image classification segment held a share of 32.42% in 2023, fueled by advancements in automated and scalable visual recognition systems.
• By End-Use Industry (Healthcare & Life Sciences, Retail and E-commerce, Automotive, Government and Defense, and Others): The healthcare & life sciences segment is projected to reach USD 783.7 million by 2031, propelled by the growing adoption of vision transformers in medical image analysis and diagnostics.

Vision Transformers Market Regional Analysis

Based on region, the market has been classified into North America, Europe, Asia Pacific, Middle East & Africa, and Latin America.

North America vision transformers market share stood at around 36.31% in 2023, valued at USD 77.9 million. This dominance is reinforced by the strong presence of tech giants, research institutions, and advanced healthcare infrastructure.

The U.S. and Canada lead in adopting cutting-edge AI technologies, including vision transformers, across sectors such as digital pathology, healthcare imaging, and gaming. In gaming, vision transformers enhance image quality and stability, contributing to significant advancements in AI-driven performance and realism.

• In January 2025, NVIDIA introduced DLSS 4 with Multi Frame Generation at CES 2025, powered by a vision transformer-based AI model. This upgrade enhances image quality, reduces ghosting, and improves stability, offering up to 8X performance improvement on GeForce RTX 50 Series GPUs.

Asia Pacific vision transformers industry is set to grow at a robust CAGR of 33.70% over the forecast period. AThis rapid growth fueled by advancements in AI and healthcare technologies across countries such as China, Japan, and India.

The increasing focus on precision medicine and digital health, combined with a growing investment in AI infrastructure, is creating a strong demand for vision transformers. Asia-Pacific's expanding healthcare industry and large-scale data generation position it at the forefront of AI-driven innovations.

Regulatory Frameworks

• In the U.S., the Food and Drug Administration (FDA) regulates medical devices, including vision transformers used in medical imaging and diagnostics, ensuring compliance with standards for accuracy, safety, and effectiveness.
• The EU's General Data Protection Regulation (GDPR) governs  personal data processing, transfer, and AI model usage, emphasizing consent and compliance.
• In India, the Digital Personal Data Protection Bill, 2023 ensures lawful data processing, enforces data fiduciary obligations, and imposes penalties for breaches, focusing on transparency, consent, security, and children's data protection.

Competitive Landscape

The vision transformers market is experiencing significant growth, stimulated by the rising adoption of AI-powered solutions in autonomous technology.

Companies are advancing transformer-based models to improve object detection, 3D mapping, and real-time decision-making, enhancing safety and performance in autonomous applications. This innovation efforts are intensifying competition across the sector.

• In March 2024, Plus advanced its vision models for autonomous driving by collaborating with NVIDIA. Utilizing NVIDIA’s DRIVE Thor platform, built on the next-gen Blackwell architecture, Plus aims to enhance its Level 4 SuperDrive solution, leveraging AI and transformers for safer, more efficient autonomous systems.

List of Key Companies in Vision Transformers Market:

• Google LLC
• OpenAI OpCo, LLC
• Meta
• NVIDIA Corporation
• LeewayHertz
• Microsoft
• Qualcomm Technologies, Inc.
• viso.ai
• Clarifai, Inc.
• QUADRIC
• Datature
• Apple Inc.
• Innova Solutions
• V7 Ltd
• Ultralytics Inc

Recent Developments (Product Development/Partnerships/New Product Launch)

• In June 2023, Quadric announced that its Chimera GPNPU processor IP supports vision transformer (ViT) machine learning models. This development enables efficient ViT implementation for edge AI systems, overcoming limitations of current NPUs and simplifying both hardware design and software development for SoC devices.
• In May 2023, LandingAI enhanced its Visual Prompting technology by collaborating with NVIDIA’s Metropolis for Factories platform, enabling rapid deployment of vision transformer models for smart manufacturing. This innovation streamlines computer vision applications, improving production efficiency, quality control, and cost reduction.
• In March 2023, BrainChip launched the second generation of its Akida platform, incorporating vision transformer acceleration and temporal event-based neural networks (TENN) to enhance edge AI performance. This innovation enables efficient processing of complex tasks such as image classification and object detection in low-power devices.
• In March 2023, NVIDIA introduced FasterTransformer v6.0, optimizing transformer models such as BERT, GPT, ViT, and Swin Transformer. Key enhancements included streaming, interactive generation, FP8 inference, and multi-GPU support, delivering a 4.5x speedup on MLPerf and improving AI inference efficiency across industries.