
Artificial Intelligence (AI) Image Upscaling Chip Market Report 2026
Global Outlook – By Chip Type (Application-Specific Integrated Circuit, Field-Programmable Gate Array, Graphics Processing Unit, System On Chip, Other Chip Types), By Technology (Super-Resolution, Deep Learning, Edge Artificial Intelligence, Other Technologies), By Application (Consumer Electronics, Automotive, Healthcare, Industrial, Media And Entertainment, Other Applications), By End-User (Original Equipment Manufacturers, Aftermarket, Other End-Users) – Market Size, Trends, Strategies, and Forecast to 2035
Artificial Intelligence (AI) Image Upscaling Chip Market Overview
• Artificial Intelligence (AI) Image Upscaling Chip market size has reached to $2.15 billion in 2025 • Expected to grow to $4.49 billion in 2030 at a compound annual growth rate (CAGR) of 15.8% • Growth Driver: Increasing Streaming Quality Expectations Fueling The Growth Of The Market Due To Expansion Of High-Speed Broadband Networks • Market Trend: Advancing Visual Clarity And Display Performance With AI-Powered Picture Quality Enhancement Technologies • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.What Is Covered Under Artificial Intelligence (AI) Image Upscaling Chip Market?
Artificial intelligence (AI) image upscaling chips are specialized semiconductor processors designed to enhance image resolution using advanced artificial intelligence techniques such as deep learning and neural network-based super-resolution. These chips accelerate complex upscaling computations, enabling clearer, sharper, and higher-quality visuals in devices such as smartphones, smart TVs, cameras, gaming consoles, and edge AI systems. By efficiently increasing pixel detail and reducing noise or blur, AI upscaling chips significantly improve visual performance in consumer electronics, broadcasting, surveillance, and digital content applications. The main chip types of artificial intelligence (AI) image upscaling chips include application-specific integrated circuits, field-programmable gate arrays, graphics processing units, system-on-chips, and others. Application-specific integrated circuits refer to custom-designed chips optimized to perform artificial intelligence -based image upscaling tasks efficiently, enabling enhanced image resolution and quality in real time. The technologies involved include super-resolution, deep learning, edge artificial intelligence, and others. The applications include consumer electronics, automotive, healthcare, industrial, media and entertainment, and others, and the key end users include original equipment manufacturers, aftermarket providers, and others.
What Is The Artificial Intelligence (AI) Image Upscaling Chip Market Size and Share 2026?
The artificial intelligence (AI) image upscaling chips market size has grown rapidly in recent years. It will grow from $2.15 billion in 2025 to $2.49 billion in 2026 at a compound annual growth rate (CAGR) of 16.2%. The growth in the historic period can be attributed to the growing adoption of high-resolution displays, rising use of AI-enabled smartphones and cameras, expansion of media and entertainment streaming services, increasing demand for video surveillance applications, and rising gaming and AR/VR market adoption.What Is The Artificial Intelligence (AI) Image Upscaling Chip Market Growth Forecast?
The artificial intelligence (AI) image upscaling chips market size is expected to see rapid growth in the next few years. It will grow to $4.49 billion in 2030 at a compound annual growth rate (CAGR) of 15.8%. The growth in the forecast period can be increasing integration of soc-based ai upscaling modules, growing edge ai processing adoption, expansion of automotive infotainment and adas systems, rising industrial imaging and machine vision applications, and increasing investment in semiconductor r&d for AI hardware. Major trends in the forecast period include advancement in deep learning-based super-resolution algorithms, integration of AI upscaling in SoCs and GPUs, development of low-power high-efficiency chips, innovations in multi-modal image enhancement, research in neural network compression and optimization.Global Artificial Intelligence (AI) Image Upscaling Chip Market Segmentation
1) By Chip Type: Application-Specific Integrated Circuit, Field-Programmable Gate Array, Graphics Processing Unit, System On Chip, Other Chip Types 2) By Technology: Super-Resolution, Deep Learning, Edge Artificial Intelligence, Other Technologies 3) By Application: Consumer Electronics, Automotive, Healthcare, Industrial, Media And Entertainment, Other Applications 4) By End-User: Original Equipment Manufacturers, Aftermarket, Other End-Users Subsegments: 1) By Application-Specific Integrated Circuit: Neural Network Accelerator, Dedicated Upscaling Processor, Hardware-Based Image Enhancement Engine, Low-Power Upscaling Chip, Integrated Upscaling Module 2) By Field-Programmable Gate Array: Reconfigurable Neural Processor, Custom Upscaling Accelerator, Edge AI Upscaling Module, Programmable Image Enhancement Chip, Low-Latency Upscaling Processor 3) By Graphics Processing Unit: Artificial Intelligence-Enhanced Graphics Processor, Deep Learning Upscaling Engine, High-Resolution Video Processor, Real-Time Image Enhancement Graphics Processing Unit, Multi-Core Upscaling Processor 4) By System On Chip: Integrated Artificial Intelligence Upscaling SoC, Mobile Device Upscaling Chip, Edge Artificial Intelligence System On Chip Module, High-Performance Video Upscaling System On Chip, Low-Power Integrated Upscaling Module 5) By Other Chip Types: Hybrid Upscaling Processor, Research And Development Prototype Chip, Experimental Neural Upscaling Module, Custom Edge AI Chip, Specialized Imaging ProcessorWhat Is The Driver Of The Artificial Intelligence (AI) Image Upscaling Chip Market?
The increasing streaming quality expectations are expected to propel the growth of the artificial intelligence (AI) image upscaling chip market going forward. Streaming quality expectations refer to the consumer demand for high-definition, buffer-free, and immersive video content across various devices. Streaming quality expectations are increasing as consumers grow accustomed to high-resolution large screens and immersive formats, leading to demand for sharper visuals, smoother playback, and richer audio as standard features. AI image upscaling chips support streaming quality expectations by enhancing lower-resolution content to near-native high definition, ensuring sharper visuals on large screens. They improve playback consistency by reducing visual artifacts and optimizing frame clarity in real time, delivering a smoother and more immersive viewing experience. For instance, in September 2023, according to the Office of Communications, a UK-based statutory regulator for communications services, in March 2023, 73% of Netflix videos were reliably delivered in ultra high definition, up from 69% in March 2022, while 22% were streamed in high definition and only 4% in standard definition. Therefore, increasing streaming quality expectations are driving the growth of the artificial intelligence (AI) image upscaling chip industry.Key Players In The Global Artificial Intelligence (AI) Image Upscaling Chip Market
Major companies operating in the artificial intelligence (AI) image upscaling chip market are Apple Inc., Samsung Electronics Co. Ltd., Intel Corporation, Qualcomm Incorporated, NVIDIA Corporation, MediaTek Inc., Realtek Semiconductor Corp., Synopsys Inc., Cadence Design Systems Inc., Novatek Microelectronics Corp., Socionext Inc., Magnachip Semiconductor Corporation, Ambarella Inc., Rockchip Electronics Co. Ltd., CEVA Inc., HiSilicon (Shanghai) Technologies Co. Ltd., Amlogic Inc., Pixelworks Inc., Axera Semiconductor Co. Ltd., Advanced Micro Devices Inc., Black Sesame Technologies Inc., Hailo Technologies Ltd.Global Artificial Intelligence (AI) Image Upscaling Chip Market Trends and Insights
Major companies operating in the artificial intelligence (AI) image upscaling chip market are focusing on developing advanced technologies, such as AI-powered picture quality enhancement technologies, to deliver sharper visuals, improved color accuracy, and immersive viewing experiences across consumer electronics. AI-powered picture quality enhancement technologies refer to artificial intelligence–driven algorithms embedded at the chip level that intelligently upscale resolution, reduce noise, enhance contrast, and optimize brightness in real time based on content and display characteristics. For instance, in January 2025, MediaTek Inc., a Taiwan-based fabless semiconductor company, unveiled MiraVision Pro. This suite of AI-powered technologies, debuting on the Pentonic 800 smart TV chipset, features AI-Super Resolution 3.0 for smooth scaling across resolutions, 500K-zone AI-Contrast 2.0 for precise HDR quality, and AI-based On-Screen-Display upscaling to elevate user interface clarity beyond standard 4K, all driven by an integrated neural processing unit to deliver cinematic-grade visuals. MiraVision Pro integrates AI-powered picture quality enhancement technologies that dynamically analyze video frames to upscale lower-resolution content while preserving fine details and natural textures. The launch enables device manufacturers to deliver premium, high-definition viewing experiences without increasing power consumption or hardware complexity.What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI) Image Upscaling Chip Market?
In January 2024, MediaTek Inc., a Taiwan-based fabless semiconductor company, partnered with Hisense Group to integrate AI-Super Resolution (AI-SR) technology across Hisense’s smart TV lineup. Through this collaboration, Hisense utilizes MediaTek’s Pentonic chipsets to automatically upscale content from standard full high definition to 4K resolution, using intelligent image analysis to reduce compression artifacts and restore detail. Hisense Group is a China-based appliance and electronics manufacturer and provider of AI-assisted image processing chips.Regional Insights
North America was the largest region in the artificial intelligence (AI) image upscaling chips market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.What Defines the Artificial Intelligence (AI) Image Upscaling Chip Market?
The artificial intelligence (AI) image upscaling chip market consists of sales of neural network accelerators, AI-enhanced graphics processors, dedicated super-resolution chips, system-on-chips (SoCs) with integrated AI upscaling modules, and hardware-based image enhancement engines. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.How is Market Value Defined and Measured?
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.What Key Data and Analysis Are Included in the Artificial Intelligence (AI) Image Upscaling Chip Market Report 2026?
The artificial intelligence (ai) image upscaling chip market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (ai) image upscaling chip industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.Artificial Intelligence (AI) Image Upscaling Chip Market Report Forecast Analysis
| Report Attribute | Details |
|---|---|
| Market Size Value In 2026 | $2.49 billion |
| Revenue Forecast In 2035 | $4.49 billion |
| Growth Rate | CAGR of 16.2% from 2026 to 2035 |
| Base Year For Estimation | 2025 |
| Actual Estimates/Historical Data | 2020-2025 |
| Forecast Period | 2026 - 2030 - 2035 |
| Market Representation | Revenue in USD Billion and CAGR from 2026 to 2035 |
| Segments Covered | Chip Type, Technology, Application, End-User |
| Regional Scope | Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa |
| Country Scope | The countries covered in the report are Australia, Brazil, China, France, Germany, India, ... |
| Key Companies Profiled | Apple Inc., Samsung Electronics Co. Ltd., Intel Corporation, Qualcomm Incorporated, NVIDIA Corporation, MediaTek Inc., Realtek Semiconductor Corp., Synopsys Inc., Cadence Design Systems Inc., Novatek Microelectronics Corp., Socionext Inc., Magnachip Semiconductor Corporation, Ambarella Inc., Rockchip Electronics Co. Ltd., CEVA Inc., HiSilicon (Shanghai) Technologies Co. Ltd., Amlogic Inc., Pixelworks Inc., Axera Semiconductor Co. Ltd., Advanced Micro Devices Inc., Black Sesame Technologies Inc., Hailo Technologies Ltd. |
| Customization Scope | Request for Customization |
| Pricing And Purchase Options | Explore Purchase Options |
