Global Vision Processing Unit Market to Reach USD 5.95 Billion by 2031 at 18.2% CAGR Driven by Hailo and Texas Instruments

The global Vision Processing Unit (VPU) market is entering a period of accelerated transformation. According to the new study Global Vision Processing Unit (VPU) Market Outlook, In-Depth Analysis & Forecast to 2031 from QYResearch, the market will grow from US$ 1,875 million in 2024 to US$ 5,954 million by 2031, at a CAGR of 18.2% between 2025 and 2031. This expansion is being driven by breakthrough hardware, generative AI acceleration at the edge, advanced ADAS domain controllers, and adoption in consumer devices such as smartphones and gaming handsets.

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Leading Companies
Hailo
Texas Instruments
Ambarella
Black Sesame Technologies
Horizon
Huawei
Pixelworks
Axera Technology
Prophesee

Applications
Automotive
Retail and e-commerce
Healthcare
Consumer Electronics
Other

Classification
Dual-core
Quad-core

Latest Data
• Forecasted Market Size in 2031: US$ 5,954 million
• CAGR (2025-2031): 18.2%
• Historical Data: 2020-2024, Forecast 2025-2031
• Regions Covered: North America, Europe, Asia Pacific, South America, Middle East & Africa
• Segmentation: By Type (Dual-core, Quad-core); By Application (Automotive, Retail and e-commerce, Healthcare, Consumer Electronics, Other)
• Coverage: Revenue and volume forecast, competitive landscape, company share, growth drivers, industry chain, regional analysis, strategic recommendations

Trend News 2024-2025
Hailo launched the Hailo-10 series in 2024, delivering up to 40 TOPS of AI compute for on-device generative AI. In 2025, the company rolled out the Hailo-10H M.2 module, enabling lightweight PCs, industrial systems, and in-vehicle platforms to run vision-language models and LLM inference with just ~2.5 W power consumption. This marks a shift from cloud-heavy AI to hybrid edge-cloud architectures.

Ambarella expanded its CV3-AD family in early 2024 with the CV3-AD635 and CV3-AD655, targeted at mass-market L2+/L2++ automotive systems. By 2025, these processors had been adopted not only by passenger car OEMs but also in industrial equipment and fleet vehicles, showing how scalable VPUs are reshaping autonomous platforms.

Horizon Robotics advanced with its Journey 5 chip, capable of handling multi-camera fusion with automotive safety standards (ASIL-B). In 2025, Horizon increased shipment volumes in China, responding to strong demand for localized ADAS compute solutions as the market pushes for independence from foreign suppliers.

Pixelworks moved deeper into mobile gaming. After the 2024 integration of X7 Gen 2 in OnePlus devices, the realme P4 series launched in August 2025 with the same VPU, enabling 120-144 Hz refresh rates, 1.5K/2K super-resolution, and low-latency frame generation. This reinforced VPUs as a differentiator in the competitive premium smartphone segment.

Prophesee, in collaboration with Sony, commercialized event-based vision with its IMX636/637 sensors. By 2024 and 2025, these were shipping in new industrial cameras from Lucid and IDS, providing >120 dB dynamic range and microsecond response times. Event-driven imaging significantly reduces compute and storage, making it attractive for robotics and driver monitoring.

Product Snapshots
Hailo - Hailo-10 / Hailo-10H
• Up to 40 TOPS for AI workloads
• Compact M.2 module option for edge PCs and in-vehicle systems
• Typical power usage ~2.5 W
• Used for generative AI, multimodal perception, and real-time video analytics
Texas Instruments - AM67A
• Delivers ~4 TOPS via dual C7x DSPs and an integrated ISP
• Supports up to four camera inputs simultaneously
• Provides real-time control cores for robotics and automation
• Adopted in 2024 by BeagleY-AI single board computers
Ambarella - CV3-AD655 / 635
• Optimized for L2+/L2++ ADAS and autonomous functions
• High-efficiency single-chip solution for sensor fusion and planning
• Designed for mass-market passenger cars and extended into industrial fleets
Black Sesame Technologies - HuaShan A1000 Pro
• 106 TOPS INT8 performance with sparse acceleration
• 16-core Arm CPU, 20-channel HDR camera support
• Automotive-grade chip with ASIL-D safety MCU
• Targeted at domain controllers and intelligent driving ECUs
Horizon Robotics - Journey 5
• Approx. 128 TOPS compute
• Capable of handling 16 HD camera inputs with built-in ISP
• ISO 26262 ASIL-B safety certification
• Growing adoption in Chinese ADAS/NOA platforms

Downstream Customers
OnePlus
realme
OPPO
ASUS
BYD
Li Auto
Continental
SANY Group
Advantech
AAEON
Lanner Electronics
Lucid Vision Labs
IDS Imaging Development Systems
Gauzy
BeagleBoard.org Foundation

Market Trend
Hybrid Generative AI at the Edge
The shift from cloud-exclusive AI to edge-hybrid models is underway. VPUs such as the Hailo-10 series are powering local inference of large language and vision-language models, enabling applications like in-car copilots, offline customer service bots, and privacy-preserving video analytics. This trend reduces latency and cloud costs, and it is expected that by 2026, nearly 30% of edge AI devices will integrate GenAI acceleration natively.

Automotive ADAS Standardization
Automotive remains the largest downstream market. With Ambarella's CV3-AD family and Horizon's Journey 5, VPUs are being embedded as domain controllers for ADAS levels L2+ and L3. The move to single-chip integration simplifies architecture, lowers cost, and is accelerating adoption in both passenger and commercial vehicles.

China's Localization Drive
China is prioritizing domestic VPUs for intelligent driving. Horizon Robotics and Black Sesame Technologies are scaling shipments to meet demand from BYD, Li Auto, and other OEMs. Localization reduces dependency on foreign chip supply and strengthens the regional automotive supply chain.

Vision-Language Models in Cameras
Ambarella's CV75 processors demonstrate the move towards on-camera transformers and vision-language models. Cameras are evolving from passive monitoring devices into intelligent agents capable of answering natural-language queries, identifying complex patterns, and supporting driver scoring systems in fleets.

Consumer Electronics and Gaming
Pixelworks is pushing VPUs as a critical differentiator in smartphones. Gaming performance, high refresh displays, and ultra-low-latency rendering are becoming mainstream, driving further integration of visual processors in mid-to-high-end consumer devices.

Event-Based Imaging
Event-driven vision is maturing with real industrial deployment. Prophesee's sensors are enabling low-latency detection in robotics and industrial inspection, offering better performance in high dynamic range environments compared to frame-based imaging.

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Developer Accessibility
Texas Instruments is expanding the addressable market by making VPUs accessible through low-cost developer boards such as BeagleY-AI. This is nurturing innovation in robotics, logistics automation, and industrial machine vision, with faster prototyping cycles and reduced R&D costs.

Conclusion
The Vision Processing Unit market is transitioning from niche to mainstream adoption. With an 18.2% CAGR through 2031, the industry is propelled by breakthroughs in automotive, gaming, AI-driven cameras, and event-based sensors. The fusion of edge GenAI, scalable automotive controllers, and consumer-grade high-performance processors positions VPUs as the backbone of next-generation intelligent systems.

Chapter Outline:

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: key insights, key emerging trends, etc.
Chapter 3: Manufacturers competitive analysis, detailed analysis of the product manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 5 & 6: Sales, revenue of the product in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 7: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 8: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 9: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 10: The main points and conclusions of the report.

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