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Artificial Intelligence (AI) Image Upscaling Chip Market Forecast: What Market Value Is Expected By 2030?
The artificial intelligence (AI) image upscaling chips market size has experienced swift expansion in recent years. This market is projected to expand from $2.15 billion in 2025 to reach $2.49 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 16.2%. The growth observed historically can be attributed to several factors, including the increasing adoption of high-resolution displays, the rising use of AI-enabled smartphones and cameras, the expansion of media and entertainment streaming services, the increasing demand for video surveillance applications, and the growing adoption within the gaming and AR/VR markets.
The artificial intelligence (AI) image upscaling chips market is anticipated to experience substantial growth in the coming years. It is projected to reach $4.49 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 15.8%. This expansion during the forecast period can be attributed to the increasing integration of SoC-based AI upscaling modules, the growing adoption of edge AI processing, the expansion of automotive infotainment and ADAS systems, the rising use of industrial imaging and machine vision applications, and increased investment in semiconductor R&D for AI hardware. Significant trends for this period include advancements in deep learning-based super-resolution algorithms, the integration of AI upscaling into SoCs and GPUs, the development of low-power, high-efficiency chips, innovations in multi-modal image enhancement, and research into neural network compression and optimization.
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Artificial Intelligence (AI) Image Upscaling Chip Market Growth Momentum: Which Factors Are Influencing Demand?
Growing consumer demands for superior streaming quality are projected to drive the expansion of the artificial intelligence (AI) image upscaling chip market. These expectations signify consumers’ desire for high-definition, seamless, and engaging video content across diverse platforms. This rise in expectations stems from consumers’ increasing familiarity with large, high-resolution screens and immersive media, prompting a demand for sharper images, fluid playback, and enhanced audio as standard offerings. Artificial intelligence (AI) image upscaling chips meet these quality demands by upgrading lower-resolution material to near-native high definition, thereby delivering clearer visuals on bigger displays. These chips also enhance playback consistency through real-time reduction of visual imperfections and optimization of frame clarity, resulting in a more fluid and engaging viewing experience. As an illustration, data from the Office of Communications, a UK communications services regulator, revealed that in September 2023, 73% of Netflix videos were consistently delivered in ultra high definition in March 2023, an increase from 69% in March 2022. Furthermore, 22% were streamed in high definition, with only 4% in standard definition. Consequently, the heightened streaming quality expectations are fueling the expansion of the artificial intelligence (AI) image upscaling chip market.
Artificial Intelligence (AI) Image Upscaling Chip Market Segment Outlook: Which Categories Are Expanding The Fastest?
The artificial intelligence (AI) image upscaling chip market covered in this report is segmented –
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 Processor
Artificial Intelligence (AI) Image Upscaling Chip Market Trends Reshaping Industry Growth
Major companies operating in the artificial intelligence (AI) image upscaling chip market are concentrating on creating sophisticated technologies, including AI-powered picture quality enhancement solutions, to deliver more defined visuals, better color precision, and engaging viewing experiences across consumer electronics. AI-powered picture quality enhancement technologies refer to algorithms driven by artificial intelligence, embedded directly at the chip level, that intelligently increase resolution, minimize noise, boost contrast, and adjust brightness instantly based on content and display attributes. For instance, in January 2025, MediaTek Inc., a fabless semiconductor company based in Taiwan, introduced MiraVision Pro. This collection of AI-powered technologies, debuting on the Pentonic 800 smart TV chipset, incorporates AI-Super Resolution 3.0 for seamless scaling across various resolutions, 500K-zone AI-Contrast 2.0 for accurate HDR quality, and AI-based On-Screen-Display upscaling to enhance user interface clarity beyond standard 4K, all driven by an integrated neural processing unit to produce cinematic-grade visuals. MiraVision Pro integrates AI-powered picture quality enhancement technologies that actively analyze video frames to upscale lower-resolution content while maintaining intricate details and natural textures. The introduction enables device manufacturers to provide premium, high-definition viewing experiences without increasing power usage or hardware complexity.
Artificial Intelligence (AI) Image Upscaling Chip Market Key Companies And Competitive Benchmarking
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.
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Artificial Intelligence (AI) Image Upscaling Chip Market Geographic Analysis: Where Is Demand Growing The Fastest?
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 the artificial intelligence (AI) image upscaling chip market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.