Automotive GPU Chip Market Report – Research, Industry Analysis Reports and Market Demands

Global Automotive GPU Chip Market 2026 by Manufacturers, Regions, Type and Application, Forecast to 2032

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Table of Content

1 Market Overview

1.1 Product Overview and Scope
1.2 Market Estimation Caveats and Base Year
1.3 Market Analysis by Type
- 1.3.1 Overview: Global Automotive GPU Chip Consumption Value by Type: 2021 Versus 2025 Versus 2032
- 1.3.2 Discrete GPU
- 1.3.3 Integrated GPU
1.4 Market Analysis by Compute Performance Tier
- 1.4.1 Overview: Global Automotive GPU Chip Consumption Value by Compute Performance Tier: 2021 Versus 2025 Versus 2032
- 1.4.2 Entry-Level
- 1.4.3 Mainstream
- 1.4.4 High-Performance
- 1.4.5 Ultra-High Performance
1.5 Market Analysis by Workload Focus
- 1.5.1 Overview: Global Automotive GPU Chip Consumption Value by Workload Focus: 2021 Versus 2025 Versus 2032
- 1.5.2 Graphics-Centric
- 1.5.3 Vision-Centric
- 1.5.4 AI Inference-Centric
- 1.5.5 Mixed Workloads
1.6 Market Analysis by Application
- 1.6.1 Overview: Global Automotive GPU Chip Consumption Value by Application: 2021 Versus 2025 Versus 2032
- 1.6.2 ADAS
- 1.6.3 Automatic Driving
- 1.6.4 Central Control Information System
- 1.6.5 Other
1.7 Global Automotive GPU Chip Market Size & Forecast
- 1.7.1 Global Automotive GPU Chip Consumption Value (2021 & 2025 & 2032)
- 1.7.2 Global Automotive GPU Chip Sales Quantity (2021-2032)
- 1.7.3 Global Automotive GPU Chip Average Price (2021-2032)

2 Manufacturers Profiles

3 Competitive Environment: Automotive GPU Chip by Manufacturer

3.1 Global Automotive GPU Chip Sales Quantity by Manufacturer (2021-2026)
3.2 Global Automotive GPU Chip Revenue by Manufacturer (2021-2026)
3.3 Global Automotive GPU Chip Average Price by Manufacturer (2021-2026)
3.4 Market Share Analysis (2025)
- 3.4.1 Producer Shipments of Automotive GPU Chip by Manufacturer Revenue ($MM) and Market Share (%): 2025
- 3.4.2 Top 3 Automotive GPU Chip Manufacturer Market Share in 2025
- 3.4.3 Top 6 Automotive GPU Chip Manufacturer Market Share in 2025
3.5 Automotive GPU Chip Market: Overall Company Footprint Analysis
- 3.5.1 Automotive GPU Chip Market: Region Footprint
- 3.5.2 Automotive GPU Chip Market: Company Product Type Footprint
- 3.5.3 Automotive GPU Chip Market: Company Product Application Footprint
3.6 New Market Entrants and Barriers to Market Entry
3.7 Mergers, Acquisition, Agreements, and Collaborations

4 Consumption Analysis by Region

4.1 Global Automotive GPU Chip Market Size by Region
- 4.1.1 Global Automotive GPU Chip Sales Quantity by Region (2021-2032)
- 4.1.2 Global Automotive GPU Chip Consumption Value by Region (2021-2032)
- 4.1.3 Global Automotive GPU Chip Average Price by Region (2021-2032)
4.2 North America Automotive GPU Chip Consumption Value (2021-2032)
4.3 Europe Automotive GPU Chip Consumption Value (2021-2032)
4.4 Asia-Pacific Automotive GPU Chip Consumption Value (2021-2032)
4.5 South America Automotive GPU Chip Consumption Value (2021-2032)
4.6 Middle East & Africa Automotive GPU Chip Consumption Value (2021-2032)

5 Market Segment by Type

5.1 Global Automotive GPU Chip Sales Quantity by Type (2021-2032)
5.2 Global Automotive GPU Chip Consumption Value by Type (2021-2032)
5.3 Global Automotive GPU Chip Average Price by Type (2021-2032)

6 Market Segment by Application

6.1 Global Automotive GPU Chip Sales Quantity by Application (2021-2032)
6.2 Global Automotive GPU Chip Consumption Value by Application (2021-2032)
6.3 Global Automotive GPU Chip Average Price by Application (2021-2032)

7 North America

7.1 North America Automotive GPU Chip Sales Quantity by Type (2021-2032)
7.2 North America Automotive GPU Chip Sales Quantity by Application (2021-2032)
7.3 North America Automotive GPU Chip Market Size by Country
- 7.3.1 North America Automotive GPU Chip Sales Quantity by Country (2021-2032)
- 7.3.2 North America Automotive GPU Chip Consumption Value by Country (2021-2032)
- 7.3.3 United States Market Size and Forecast (2021-2032)
- 7.3.4 Canada Market Size and Forecast (2021-2032)
- 7.3.5 Mexico Market Size and Forecast (2021-2032)

8 Europe

8.1 Europe Automotive GPU Chip Sales Quantity by Type (2021-2032)
8.2 Europe Automotive GPU Chip Sales Quantity by Application (2021-2032)
8.3 Europe Automotive GPU Chip Market Size by Country
- 8.3.1 Europe Automotive GPU Chip Sales Quantity by Country (2021-2032)
- 8.3.2 Europe Automotive GPU Chip Consumption Value by Country (2021-2032)
- 8.3.3 Germany Market Size and Forecast (2021-2032)
- 8.3.4 France Market Size and Forecast (2021-2032)
- 8.3.5 United Kingdom Market Size and Forecast (2021-2032)
- 8.3.6 Russia Market Size and Forecast (2021-2032)
- 8.3.7 Italy Market Size and Forecast (2021-2032)

9 Asia-Pacific

9.1 Asia-Pacific Automotive GPU Chip Sales Quantity by Type (2021-2032)
9.2 Asia-Pacific Automotive GPU Chip Sales Quantity by Application (2021-2032)
9.3 Asia-Pacific Automotive GPU Chip Market Size by Region
- 9.3.1 Asia-Pacific Automotive GPU Chip Sales Quantity by Region (2021-2032)
- 9.3.2 Asia-Pacific Automotive GPU Chip Consumption Value by Region (2021-2032)
- 9.3.3 China Market Size and Forecast (2021-2032)
- 9.3.4 Japan Market Size and Forecast (2021-2032)
- 9.3.5 South Korea Market Size and Forecast (2021-2032)
- 9.3.6 India Market Size and Forecast (2021-2032)
- 9.3.7 Southeast Asia Market Size and Forecast (2021-2032)
- 9.3.8 Australia Market Size and Forecast (2021-2032)

10 South America

10.1 South America Automotive GPU Chip Sales Quantity by Type (2021-2032)
10.2 South America Automotive GPU Chip Sales Quantity by Application (2021-2032)
10.3 South America Automotive GPU Chip Market Size by Country
- 10.3.1 South America Automotive GPU Chip Sales Quantity by Country (2021-2032)
- 10.3.2 South America Automotive GPU Chip Consumption Value by Country (2021-2032)
- 10.3.3 Brazil Market Size and Forecast (2021-2032)
- 10.3.4 Argentina Market Size and Forecast (2021-2032)

11 Middle East & Africa

11.1 Middle East & Africa Automotive GPU Chip Sales Quantity by Type (2021-2032)
11.2 Middle East & Africa Automotive GPU Chip Sales Quantity by Application (2021-2032)
11.3 Middle East & Africa Automotive GPU Chip Market Size by Country
- 11.3.1 Middle East & Africa Automotive GPU Chip Sales Quantity by Country (2021-2032)
- 11.3.2 Middle East & Africa Automotive GPU Chip Consumption Value by Country (2021-2032)
- 11.3.3 Turkey Market Size and Forecast (2021-2032)
- 11.3.4 Egypt Market Size and Forecast (2021-2032)
- 11.3.5 Saudi Arabia Market Size and Forecast (2021-2032)
- 11.3.6 South Africa Market Size and Forecast (2021-2032)

12 Market Dynamics

12.1 Automotive GPU Chip Market Drivers
12.2 Automotive GPU Chip Market Restraints
12.3 Automotive GPU Chip Trends Analysis
12.4 Porters Five Forces Analysis
- 12.4.1 Threat of New Entrants
- 12.4.2 Bargaining Power of Suppliers
- 12.4.3 Bargaining Power of Buyers
- 12.4.4 Threat of Substitutes
- 12.4.5 Competitive Rivalry

13 Raw Material and Industry Chain

13.1 Raw Material of Automotive GPU Chip and Key Manufacturers
13.2 Manufacturing Costs Percentage of Automotive GPU Chip
13.3 Automotive GPU Chip Production Process
13.4 Industry Value Chain Analysis

14 Shipments by Distribution Channel

14.1 Sales Channel
- 14.1.1 Direct to End-User
- 14.1.2 Distributors
14.2 Automotive GPU Chip Typical Distributors
14.3 Automotive GPU Chip Typical Customers

15 Research Findings and Conclusion

16 Appendix

16.1 Methodology
16.2 Research Process and Data Source

Description

According to our (Global Info Research) latest study, the global Automotive GPU Chip market size was valued at US$ 4991 million in 2025 and is forecast to a readjusted size of US$ 10268 million by 2032 with a CAGR of 11.0% during review period.
An Automotive GPU Chip is a graphics and massively parallel compute processor designed to meet automotive-grade requirements—wide temperature range, vibration tolerance, long service life, functional safety, and high reliability—appearing either as a discrete GPU (less common) or, more typically, as the GPU subsystem inside an infotainment/instrument/central-compute/ADAS SoC. It addresses the core gap between “consumer-electronics-like” in-vehicle experiences and real-time, safety-constrained vehicle operation by enabling smooth multi-display rendering, 3D HMI, navigation and map compositing, AR-HUD pipelines, surround-view visualization, high-throughput video encode/decode, and increasingly GPU-parallel acceleration for AI inference and sensor fusion, all under strict power, thermal, EMC, and ASIL-oriented constraints. Historically, the category evolved from early head units dominated by MCUs and basic 2D acceleration, to smartphone-derived GPU architectures powering modern digital cockpits with multi-screen 3D UI and rich media, and further into centralized domain controllers where GPU, CPU, NPU, ISP, and safety islands are tightly integrated into automotive compute platforms backed by mature software stacks (drivers, real-time OS/hypervisors, middleware, and AI frameworks) that make performance reusable and behavior certifiable. Upstream, the supply chain spans foundational materials and manufacturing inputs (silicon wafers and epitaxy, lithography chemicals, specialty gases and targets, advanced packaging substrates and interconnect materials, thermal interface materials and mechanical parts), and critical components and services such as IP/EDA enablement, automotive-grade foundry processes, packaging/test and reliability qualification, memories (DRAM/LPDDR and Flash), power management and power devices (PMICs and DC-DC converters), high-reliability clocks/oscillators, high-speed automotive interconnects and transceivers (PCIe/Ethernet/SerDes), plus passives—together enabling scalable production and the quality/continuity demanded by OEM programs.In 2025, global production capacity for automotive GPU chips is estimated at 20 million units, while sales reached approximately 17.32 million units. The average selling price is about USD 280 per chip, and gross margins across suppliers generally range between 50% and 70%.
The market today is defined by broadening demand, converging system architectures, and tiered competition. On the demand side, digital cockpits push multi-display, high-resolution, 3D-rich interfaces and media workloads, while automated driving pushes visualization-heavy development workflows and real-time inference requirements into domain controllers—making GPU capability a shared backbone for both graphics and parallel compute. Architecturally, the industry is moving from scattered ECUs toward consolidated cockpit/ADAS domain controllers and, increasingly, centralized compute platforms. As a result, competition is less about isolated peak metrics and more about platform delivery: a cohesive stack of hardware, drivers and graphics runtime, AI tooling, virtualization and safety isolation, automotive-grade qualification, and tight integration with OEM software architectures. Procurement follows the same shift—buyers increasingly evaluate complete platforms (silicon plus board support, middleware, reference designs, and ecosystem) rather than a single chip, which amplifies lock-in and raises the barrier for entrants who only compete on one headline specification.
Looking forword, the trajectory stacks three themes: higher sustained performance and efficiency, deeper software-defined differentiation, and tighter heterogenous coordination. Workloads will keep mixing—UI rendering, video pipelines, mapping and AR overlays, alongside visualization for perception and growing AI inference—so architectures will prioritize deterministic behavior, thermal discipline, and controllable latency as much as raw throughput. Software becomes the decisive battleground: more mature graphics APIs and rendering frameworks, unified AI deployment pipelines, robust profiling and diagnostics, and OTA-friendly lifecycle management all turn into selection gatekeepers. Virtualization and partitioning will become more prevalent as OEMs isolate cockpit, cluster, and ADAS into separate safety domains, pushing GPU resources to be scheduled and shared with finer-grained control. With faster in-vehicle networks and interconnects, GPU capability may also become more composable—local acceleration for low-latency graphics and critical tasks, coordinated with higher-power compute elsewhere for heavier inference and iterative updates—forming a cooperative, cross-domain compute topology.
The engines of growth come from user experience expectations, regulatory/safety requirements, and engineering productivity goals: smoother and more consistent cockpit experiences, faster ADAS development and iteration, and OEM pressure to reduce ECU fragmentation while shortening development cycles and long-term maintenance burden. The blockers, however, are equally structural. Automotive-grade reliability and functional safety qualification impose long, expensive verification loops, and even “small” changes in drivers, firmware, or scheduling can trigger system-level re-validation. GPU workloads are inherently less predictable under mixed rendering-and-AI concurrency, making real-time guarantees and isolation a hard engineering problem. Supply-chain and lifecycle constraints are unforgiving—OEMs expect long-term availability and consistency, while advanced silicon and packaging evolve rapidly and don’t naturally align with automotive timelines. Finally, ecosystem and IP boundaries shape collaboration: tooling transparency, compiler and driver accessibility, and the degree of standards and open-source alignment can determine long-term flexibility, turning platform choice into a multi-year strategic commitment. In practice, market gravity tends to favor platforms that are not only fast, but deliverable, certifiable, and maintainable over time.
This report is a detailed and comprehensive analysis for global Automotive GPU Chip market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Automotive GPU Chip market size and forecasts, in consumption value ($ Million), sales quantity (K Pcs), and average selling prices (US$/Pcs), 2021-2032
Global Automotive GPU Chip market size and forecasts by region and country, in consumption value ($ Million), sales quantity (K Pcs), and average selling prices (US$/Pcs), 2021-2032
Global Automotive GPU Chip market size and forecasts, by Type and by Application, in consumption value ($ Million), sales quantity (K Pcs), and average selling prices (US$/Pcs), 2021-2032
Global Automotive GPU Chip market shares of main players, shipments in revenue ($ Million), sales quantity (K Pcs), and ASP (US$/Pcs), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Automotive GPU Chip
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Automotive GPU Chip market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include NVIDIA, Qualcomm, Renesas Electronics, Samsung Electronics, MediaTek, SemiDrive, UNISOC, SiEngine, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market Segmentation
Automotive GPU Chip market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Discrete GPU
Integrated GPU
Market segment by Compute Performance Tier
Entry-Level
Mainstream
High-Performance
Ultra-High Performance
Market segment by Workload Focus
Graphics-Centric
Vision-Centric
AI Inference-Centric
Mixed Workloads
Market segment by Application
ADAS
Automatic Driving
Central Control Information System
Other
Major players covered
NVIDIA
Qualcomm
Renesas Electronics
Samsung Electronics
MediaTek
SemiDrive
UNISOC
SiEngine
Market segment by region, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe Automotive GPU Chip product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Automotive GPU Chip, with price, sales quantity, revenue, and global market share of Automotive GPU Chip from 2021 to 2026.
Chapter 3, the Automotive GPU Chip competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Automotive GPU Chip breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2021 to 2032.
Chapter 5 and 6, to segment the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2021 to 2032.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2021 to 2026.and Automotive GPU Chip market forecast, by regions, by Type, and by Application, with sales and revenue, from 2027 to 2032.
Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Automotive GPU Chip.
Chapter 14 and 15, to describe Automotive GPU Chip sales channel, distributors, customers, research findings and conclusion.

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