+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Global Graphics Processing Unit Market Size, Share & Industry Analysis Report by Integration Type, Device Application, Regional Outlook and Forecast, 2026-2033

  • PDF Icon

    Report

  • 488 Pages
  • June 2026
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6276033
The Global Graphics Processing Unit (GPU) Market is expected to reach USD 396.9 Billion by 2033, growing at a CAGR of 15.2% during 2026-2033.


The Global Graphics Processing Unit (GPU) Market is witnessing strong growth, driven by rising demand for artificial intelligence, machine learning, cloud computing, advanced gaming, data center acceleration, and real-time visual computing. The market originated as a specialized hardware category focused on accelerating image rendering and graphics processing, especially for gaming and visualization applications. Over time, GPUs evolved from fixed-function graphics processors into highly programmable parallel computing engines capable of supporting scientific computing, artificial intelligence training, data analytics, professional visualization, and cloud workloads. Presently, the market is shaped by AI-specific GPU architectures, GPU cloud computing, heterogeneous computing, high-performance data center acceleration, immersive media rendering, automotive computing, and increasing demand for scalable and energy-efficient accelerated computing solutions.

Key Market Trends & Insights

  • By integration type, Discrete GPUs (dGPU) dominated the market in 2025 with USD 81.0 Billion and are projected to remain dominant through 2033, reaching USD 243.6 Billion.
  • Integrated GPUs (iGPU) are expected to grow faster by integration type, registering a CAGR of 15.6% during 2026-2033, compared to 14.9% for Discrete GPUs.
  • By device application, Servers and Datacenter Accelerators led the market in 2025 with USD 51.0 Billion and are projected to reach USD 148.8 Billion by 2033.
  • Automotive and ADAS is expected to record the fastest growth among device applications, with a CAGR of 16.9% during 2026-2033, reaching USD 29.4 Billion by 2033.
  • PCs and Workstations remained the second-largest device application segment in 2025 with USD 32.3 Billion and is projected to reach USD 97.5 Billion by 2033.
  • Gaming Consoles and Handhelds are expected to grow at a strong CAGR of 16.3% during 2026-2033, increasing from USD 16.4 Billion in 2026 to USD 47.5 Billion by 2033.
  • Regionally, North America dominated the market in 2025 with USD 50.0 Billion and is projected to maintain its lead through 2033, reaching USD 145.6 Billion.
  • LAMEA is expected to be the fastest-growing region, with a CAGR of 16.5% during 2026-2033, followed by Asia Pacific at 15.9%.

The Graphics Processing Unit Market is expanding as GPUs become essential components across consumer, enterprise, and industrial computing environments. Increasing use of GPUs in artificial intelligence, machine learning, generative AI, scientific simulations, data centers, gaming, visualization, automotive systems, and edge computing is broadening the market beyond traditional graphics rendering. The demand for parallel computing, high memory bandwidth, low-latency processing, and scalable acceleration continues to strengthen GPU adoption across multiple sectors. At the same time, cloud-based GPU services are improving accessibility by allowing enterprises, developers, researchers, and startups to access accelerated computing resources without owning physical GPU infrastructure.

The Graphics Processing Unit Market is characterized by a highly competitive and moderately consolidated environment led by major semiconductor companies, supported by cloud providers, OEMs, system integrators, and specialized accelerator developers. Competition is centered on processing performance, energy efficiency, memory bandwidth, AI acceleration, software ecosystem strength, developer support, supply chain reliability, pricing, and integration across cloud and edge platforms. Leading vendors compete through advanced architectures, proprietary software frameworks, data center platforms, gaming GPUs, AI accelerators, and partnerships with hyperscale cloud providers. Specialized and regional players continue to target niche applications, embedded graphics, AI acceleration, and cost-sensitive computing segments.

Driving and Restraining Factors

Drivers
  • Rapid Expansion of Artificial Intelligence and Machine Learning Applications
  • Surging Demand from PC Gaming and Consumer Electronics
  • Integration of GPUs in Autonomous Vehicles and Edge Computing Systems
  • Escalating Investments and Strategic Collaborations in GPU Ecosystem
Restraints
  • High Capital Expenditure and Cost Barriers
  • Thermal Management and Technical Complexity Limitations
  • Supply Chain Volatility and Semiconductor Shortage Risks
Opportunities
  • GPU Acceleration for Real-Time Data Analytics and AI Workloads
  • Integration of GPUs into Cloud Infrastructure for Scalable High-Performance Computing and Edge Computing
  • Development of Specialized GPUs for Emerging Immersive Media and Visualization
Challenges
  • High Capital Expenditure and Cost Barriers in GPU Procurement
  • Technological Constraints Linked to Interconnectivity and Scalability of Multi-GPU Configurations
  • Regulatory and Environmental Compliance Challenges Impacting GPU Manufacturing and Deployment

Integration Type Outlook



Based on Integration Type, the market is segmented into Discrete GPUs and Integrated GPUs. The Discrete GPUs (dGPU) market dominated the Global Graphics Processing Unit (GPU) Market by Integration Type in 2025, and is expected to continue to be a dominant market till 2033; thereby, achieving a market value of USD 243.6 Billion by 2033, growing at a CAGR of 14.9 % during the forecast period. Additionally, the Integrated GPUs (iGPU) market is expected to witness highest CAGR of 15.6% during 2026-2033.

Discrete GPUs are preferred where high frame rates, deep learning acceleration, real-time rendering, simulation, and large-scale parallel processing are required. They continue to benefit from gaming, AI training, cloud computing, and professional visualization demand. Integrated GPUs serve broad-volume markets where users require reliable graphics performance without separate GPU hardware. Improvements in semiconductor integration, system-on-chip design, and energy efficiency are strengthening integrated GPU adoption across portable and mainstream computing devices.

Device Application Outlook

Based on Device Application, the market is segmented into Servers and Datacenter Accelerators, PCs and Workstations, Mobile Devices and Tablets, Gaming Consoles and Handhelds, Automotive and ADAS, and Other Device Application. The Servers and Datacenter Accelerators market dominated the Global Graphics Processing Unit (GPU) Market by Device Application in 2025, and is expected to continue to be a dominant market till 2033; thereby, achieving a market value of USD 148.8 Billion by 2033, growing at a CAGR of 14.5 % during the forecast period. The PCs and Workstations market is expected to witness a CAGR of 15% during 2026-2033. Additionally, the Mobile Devices and Tablets market is expected to witness highest CAGR of 15.6% during 2026-2033.

Data center GPUs are increasingly critical for AI model training, scientific workloads, cloud platforms, and enterprise-scale analytics. PCs and workstation GPUs support creators, designers, engineers, gamers, and professionals requiring high graphical and computational performance. Mobile GPUs prioritize battery efficiency, thermal control, and multimedia enhancement. Gaming console GPUs are optimized for consistent gameplay, high-fidelity visuals, and immersive graphics. Automotive GPUs support safety-critical processing, visualization, and intelligent mobility systems. Other device applications include industrial automation, medical imaging, embedded systems, robotics, and edge computing platforms.

Regional Outlook



Region-wise, the Graphics Processing Unit Market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America market dominated the Global Graphics Processing Unit (GPU) Market by Region in 2025, and is expected to continue to be a dominant market till 2033; thereby, achieving a market value of USD 145.6 Billion by 2033, growing at a CAGR of 14.5 % during the forecast period. The Europe market is expected to witness a CAGR of 14.9% during 2026-2033. Additionally, the Asia Pacific market is expected to witness a CAGR of 15.9% during 2026-2033.

North America benefits from hyperscale cloud providers, AI research ecosystems, enterprise technology adoption, and strong semiconductor design capabilities. Asia Pacific is supported by advanced electronics manufacturing, growing AI deployment, gaming markets, and regional data center investments. Europe is shaped by automotive computing, industrial automation, research computing, and regulatory emphasis on energy efficiency. LAMEA continues to grow as cloud services, digital transformation, gaming platforms, and enterprise computing infrastructure expand across developing markets.

Recent Strategies Deployed in the Market

  • NVIDIA expanded its AI-focused GPU portfolio through advanced accelerated computing solutions designed for generative AI, large language model training, scientific computing, and hyperscale data center applications.
  • AMD strengthened its GPU and accelerated computing portfolio through advanced AI and data center processing technologies for enterprise computing, cloud infrastructure, and high-performance workloads.
  • Intel expanded its GPU and AI acceleration capabilities through advanced processing technologies designed for enterprise computing, AI workloads, and cloud infrastructure modernization.
  • GPU manufacturers collaborated with hyperscale cloud providers, AI software developers, and enterprise infrastructure companies to strengthen AI computing ecosystems and accelerate large-scale AI infrastructure deployment.
  • GPU manufacturers expanded partnerships with semiconductor foundries, packaging providers, and advanced chip manufacturing companies to improve production scalability and supply chain resilience.
  • GPU-powered AI infrastructure deployment expanded across major technology regions as enterprises, cloud providers, and governments increased investment in artificial intelligence, high-performance computing, and digital transformation.
  • Vendors continued investing in AI-specific architectures, cloud GPU services, advanced packaging, energy-efficient design, developer tools, and heterogeneous computing platforms.

List of Key Companies Profiled

  • NVIDIA Corporation
  • Advanced Micro Devices, Inc.
  • Intel Corporation
  • Apple Inc.
  • Qualcomm Incorporated
  • Imagination Technologies Limited
  • Samsung Electronics Co., Ltd.
  • MediaTek Inc.
  • Huawei Technologies Co., Ltd.
  • IBM Corporation

Market Report Segmentation

By Integration Type
  • Discrete GPUs
  • Integrated GPUs
By Device Application
  • Servers and Datacenter Accelerators
  • PCs and Workstations
  • Mobile Devices and Tablets
  • Gaming Consoles and Handhelds
  • Automotive and ADAS
  • Other Device Application
By Geography
  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America

  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe

  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific

  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

Table of Contents

Chapter 1. Research Scope & Methodology
1.1 Market Definition
1.2 Analysis Period & Currency
1.3 Segmentation
1.4 Graphics Processing Unit (GPU) Market, by Geography
1.5 Research Methodology
Chapter 2. Market Overview
2.1 COVID-19 Impact
2.2 Market Composition and Scenario
Chapter 3. Key Factors Impacting Market
3.1 Market Drivers
3.2 Market Restraints
3.3 Market Opportunities
3.4 Market Challenges
3.5 Market Trends
3.6 State of Competition
3.7 Market Consolidation
3.8 Key Customer Criteria
Chapter 4. Product Life CycleChapter 5. Value Chain Analysis of Graphics Processing Unit (GPU) Market
Chapter 6. Recent Developments and Strategies
6.1 Product Launch & Product Expansion
6.2 Partnership, Collaboration & Agreements
6.3 Geographical Expansion
Chapter 7. Segmentation By Integration Type
7.1 Discrete GPUs (dGPU)
7.2 Integrated GPUs (iGPU)
Chapter 8. Segmentation By Device Application
8.1 Servers and Datacenter Accelerators
8.2 PCs and Workstations
8.3 Mobile Devices and Tablets
8.4 Gaming Consoles and Handhelds
8.5 Automotive and ADAS
8.6 Other Device Application
Chapter 9. North America Market
9.1 Market Overview
9.2 Key Factors Impacting Market
9.2.1 Market Drivers
9.2.2 Market Restraints
9.2.3 Market Opportunities
9.2.4 Market Challenges
9.2.5 Market Trends
9.2.6 State of Competition
9.2.7 Market Consolidation
9.2.8 Key Customer Criteria
9.3 Product Life Cycle
9.4 Segmentation By Integration Type
9.4.1 Discrete GPUs (dGPU)
9.4.2 Integrated GPUs (iGPU)
9.5 Segmentation By Device Application
9.5.1 Servers and Datacenter Accelerators
9.5.2 PCs and Workstations
9.5.3 Mobile Devices and Tablets
9.5.4 Gaming Consoles and Handhelds
9.5.5 Automotive and ADAS
9.5.6 Other Device Application
9.6 Segmentation By Country
9.6.1 US
9.6.1.1 Segmentation By Integration Type
9.6.1.1.1 Discrete GPUs (dGPU)
9.6.1.1.2 Integrated GPUs (iGPU)
9.6.1.2 Segmentation By Device Application
9.6.1.2.1 Servers and Datacenter Accelerators
9.6.1.2.2 PCs and Workstations
9.6.1.2.3 Mobile Devices and Tablets
9.6.1.2.4 Gaming Consoles and Handhelds
9.6.1.2.5 Automotive and ADAS
9.6.1.2.6 Other Device Application
9.6.2 Canada
9.6.2.1 Segmentation By Integration Type
9.6.2.1.1 Discrete GPUs (dGPU)
9.6.2.1.2 Integrated GPUs (iGPU)
9.6.2.2 Segmentation By Device Application
9.6.2.2.1 Servers and Datacenter Accelerators
9.6.2.2.2 PCs and Workstations
9.6.2.2.3 Mobile Devices and Tablets
9.6.2.2.4 Gaming Consoles and Handhelds
9.6.2.2.5 Automotive and ADAS
9.6.2.2.6 Other Device Application
9.6.3 Mexico
9.6.3.1 Segmentation By Integration Type
9.6.3.1.1 Discrete GPUs (dGPU)
9.6.3.1.2 Integrated GPUs (iGPU)
9.6.3.2 Segmentation By Device Application
9.6.3.2.1 Servers and Datacenter Accelerators
9.6.3.2.2 PCs and Workstations
9.6.3.2.3 Mobile Devices and Tablets
9.6.3.2.4 Gaming Consoles and Handhelds
9.6.3.2.5 Automotive and ADAS
9.6.3.2.6 Other Device Application
9.6.4 Rest of North America
9.6.4.1 Segmentation By Integration Type
9.6.4.1.1 Discrete GPUs (dGPU)
9.6.4.1.2 Integrated GPUs (iGPU)
9.6.4.2 Segmentation By Device Application
9.6.4.2.1 Servers and Datacenter Accelerators
9.6.4.2.2 PCs and Workstations
9.6.4.2.3 Mobile Devices and Tablets
9.6.4.2.4 Gaming Consoles and Handhelds
9.6.4.2.5 Automotive and ADAS
9.6.4.2.6 Other Device Application
Chapter 10. Europe Market
10.1 Market Overview
10.2 Key Factors Impacting Market
10.2.1 Market Drivers
10.2.2 Market Restraints
10.2.3 Market Opportunities
10.2.4 Market Challenges
10.2.5 Market Trends
10.2.6 State of Competition
10.2.7 Market consolidation
10.2.8 Key Customer Criteria
10.3 Product Life Cycle
10.4 Segmentation Integration Type
10.4.1 Discrete GPUs (dGPU)
10.4.2 Integrated GPUs (iGPU)
10.5 Segmentation Device Application
10.5.1 Servers and Datacenter Accelerators
10.5.2 PCs and Workstations
10.5.3 Mobile Devices and Tablets
10.5.4 Gaming Consoles and Handhelds
10.5.5 Automotive and ADAS
10.5.6 Other Device Application
10.6 Segmentation By Country
10.6.1 Germany
10.6.1.1 Segmentation By Integration Type
10.6.1.1.1 Discrete GPUs (dGPU)
10.6.1.1.2 Integrated GPUs (iGPU)
10.6.1.2 Segmentation By Device Application
10.6.1.2.1 Servers and Datacenter Accelerators
10.6.1.2.2 PCs and Workstations
10.6.1.2.3 Mobile Devices and Tablets
10.6.1.2.4 Gaming Consoles and Handhelds
10.6.1.2.5 Automotive and ADAS
10.6.1.2.6 Other Device Application
10.6.2 UK
10.6.2.1 Segmentation By Integration Type
10.6.2.1.1 Discrete GPUs (dGPU)
10.6.2.1.2 Integrated GPUs (iGPU)
10.6.2.2 Segmentation By Device Application
10.6.2.2.1 Servers and Datacenter Accelerators
10.6.2.2.2 PCs and Workstations
10.6.2.2.3 Mobile Devices and Tablets
10.6.2.2.4 Gaming Consoles and Handhelds
10.6.2.2.5 Automotive and ADAS
10.6.2.2.6 Other Device Application
10.6.3 France
10.6.3.1 Segmentation By Integration Type
10.6.3.1.1 Discrete GPUs (dGPU)
10.6.3.1.2 Integrated GPUs (iGPU)
10.6.3.2 Segmentation By Device Application
10.6.3.2.1 Servers and Datacenter Accelerators
10.6.3.2.2 PCs and Workstations
10.6.3.2.3 Mobile Devices and Tablets
10.6.3.2.4 Gaming Consoles and Handhelds
10.6.3.2.5 Automotive and ADAS
10.6.3.2.6 Other Device Application
10.6.4 Russia
10.6.4.1 Segmentation By Integration Type
10.6.4.1.1 Discrete GPUs (dGPU)
10.6.4.1.2 Integrated GPUs (iGPU)
10.6.4.2 Segmentation By Device Application
10.6.4.2.1 Servers and Datacenter Accelerators
10.6.4.2.2 PCs and Workstations
10.6.4.2.3 Mobile Devices and Tablets
10.6.4.2.4 Gaming Consoles and Handhelds
10.6.4.2.5 Automotive and ADAS
10.6.4.2.6 Other Device Application
10.6.5 Spain
10.6.5.1 Segmentation By Integration Type
10.6.5.1.1 Discrete GPUs (dGPU)
10.6.5.1.2 Integrated GPUs (iGPU)
10.6.5.2 Segmentation By Device Application
10.6.5.2.1 Servers and Datacenter Accelerators
10.6.5.2.2 PCs and Workstations
10.6.5.2.3 Mobile Devices and Tablets
10.6.5.2.4 Gaming Consoles and Handhelds
10.6.5.2.5 Automotive and ADAS
10.6.5.2.6 Other Device Application
10.6.6 Italy
10.6.6.1 Segmentation By Integration Type
10.6.6.1.1 Discrete GPUs (dGPU)
10.6.6.1.2 Integrated GPUs (iGPU)
10.6.6.2 Segmentation By Device Application
10.6.6.2.1 Servers and Datacenter Accelerators
10.6.6.2.2 PCs and Workstations
10.6.6.2.3 Mobile Devices and Tablets
10.6.6.2.4 Gaming Consoles and Handhelds
10.6.6.2.5 Automotive and ADAS
10.6.6.2.6 Other Device Application
10.6.7 Rest of Europe
10.6.7.1 Segmentation By Integration Type
10.6.7.1.1 Discrete GPUs (dGPU)
10.6.7.1.2 Integrated GPUs (iGPU)
10.6.7.2 Segmentation By Device Application
10.6.7.2.1 Servers and Datacenter Accelerators
10.6.7.2.2 PCs and Workstations
10.6.7.2.3 Mobile Devices and Tablets
10.6.7.2.4 Gaming Consoles and Handhelds
10.6.7.2.5 Automotive and ADAS
10.6.7.2.6 Other Device Application
Chapter 11. Asia Pacific Market
11.1 Market Overview
11.2 Key Factors Impacting Market
11.2.1 Market Drivers
11.2.2 Market Restraints
11.2.3 Market Opportunities
11.2.4 Market Challenges
11.2.5 Market Trends
11.2.6 State of Competition
11.2.7 Market Consolidation
11.2.8 Key Customer Criteria
11.3 Product Life Cycle
11.4 Segmentation By Integration Type
11.4.1 Discrete GPUs (dGPU)
11.4.2 Integrated GPUs (iGPU)
11.5 Segmentation By Device Application
11.5.1 Servers and Datacenter Accelerators
11.5.2 PCs and Workstations
11.5.3 Mobile Devices and Tablets
11.5.4 Gaming Consoles and Handhelds
11.5.5 Automotive and ADAS
11.5.6 Other Device Application
11.6 Segmentation By Country
11.6.1 China
11.6.1.1 Segmentation By Integration Type
11.6.1.1.1 Discrete GPUs (dGPU)
11.6.1.1.2 Integrated GPUs (iGPU)
11.6.1.2 Segmentation By Device Application
11.6.1.2.1 Servers and Datacenter Accelerators
11.6.1.2.2 PCs and Workstations
11.6.1.2.3 Mobile Devices and Tablets
11.6.1.2.4 Gaming Consoles and Handhelds
11.6.1.2.5 Automotive and ADAS
11.6.1.2.6 Other Device Application
11.6.2 Japan
11.6.2.1 Segmentation By Integration Type
11.6.2.1.1 Discrete GPUs (dGPU)
11.6.2.1.2 Integrated GPUs (iGPU)
11.6.2.2 Segmentation By Device Application
11.6.2.2.1 Servers and Datacenter Accelerators
11.6.2.2.2 PCs and Workstations
11.6.2.2.3 Mobile Devices and Tablets
11.6.2.2.4 Gaming Consoles and Handhelds
11.6.2.2.5 Automotive and ADAS
11.6.2.2.6 Other Device Application
11.6.3 India
11.6.3.1 Segmentation By Integration Type
11.6.3.1.1 Discrete GPUs (dGPU)
11.6.3.1.2 Integrated GPUs (iGPU)
11.6.3.2 Segmentation By Device Application
11.6.3.2.1 Servers and Datacenter Accelerators
11.6.3.2.2 PCs and Workstations
11.6.3.2.3 Mobile Devices and Tablets
11.6.3.2.4 Gaming Consoles and Handhelds
11.6.3.2.5 Automotive and ADAS
11.6.3.2.6 Other Device Application
11.6.4 South Korea
11.6.4.1 Segmentation By Integration Type
11.6.4.1.1 Discrete GPUs (dGPU)
11.6.4.1.2 Integrated GPUs (iGPU)
11.6.4.2 Segmentation By Device Application
11.6.4.2.1 Servers and Datacenter Accelerators
11.6.4.2.2 PCs and Workstations
11.6.4.2.3 Mobile Devices and Tablets
11.6.4.2.4 Gaming Consoles and Handhelds
11.6.4.2.5 Automotive and ADAS
11.6.4.2.6 Other Device Application
11.6.5 Singapore
11.6.5.1 Segmentation By Integration Type
11.6.5.1.1 Discrete GPUs (dGPU)
11.6.5.1.2 Integrated GPUs (iGPU)
11.6.5.2 Segmentation By Device Application
11.6.5.2.1 Servers and Datacenter Accelerators
11.6.5.2.2 PCs and Workstations
11.6.5.2.3 Mobile Devices and Tablets
11.6.5.2.4 Gaming Consoles and Handhelds
11.6.5.2.5 Automotive and ADAS
11.6.5.2.6 Other Device Application
11.6.6 Malaysia
11.6.6.1 Segmentation By Integration Type
11.6.6.1.1 Discrete GPUs (dGPU)
11.6.6.1.2 Integrated GPUs (iGPU)
11.6.6.2 Segmentation By Device Application
11.6.6.2.1 Servers and Datacenter Accelerators
11.6.6.2.2 PCs and Workstations
11.6.6.2.3 Mobile Devices and Tablets
11.6.6.2.4 Gaming Consoles and Handhelds
11.6.6.2.5 Automotive and ADAS
11.6.6.2.6 Other Device Application
11.6.7 Rest of Asia Pacific
11.6.7.1 Segmentation By Integration Type
11.6.7.1.1 Discrete GPUs (dGPU)
11.6.7.1.2 Integrated GPUs (iGPU)
11.6.7.2 Segmentation By Device Application
11.6.7.2.1 Servers and Datacenter Accelerators
11.6.7.2.2 PCs and Workstations
11.6.7.2.3 Mobile Devices and Tablets
11.6.7.2.4 Gaming Consoles and Handhelds
11.6.7.2.5 Automotive and ADAS
11.6.7.2.6 Other Device Application
11.6.3.2.4 Gaming Consoles and Handhelds
11.6.3.2.5 Automotive and ADAS
11.6.3.2.6 Other Device Application
11.6.4 South Korea
11.6.4.1 Segmentation By Integration Type
11.6.4.1.1 Discrete GPUs (dGPU)
11.6.4.1.2 Integrated GPUs (iGPU)
11.6.4.2 Segmentation By Device Application
11.6.4.2.1 Servers and Datacenter Accelerators
11.6.4.2.2 PCs and Workstations
11.6.4.2.3 Mobile Devices and Tablets
11.6.4.2.4 Gaming Consoles and Handhelds
11.6.4.2.5 Automotive and ADAS
11.6.4.2.6 Other Device Application
11.6.5 Singapore
11.6.5.1 Segmentation By Integration Type
11.6.5.1.1 Discrete GPUs (dGPU)
11.6.5.1.2 Integrated GPUs (iGPU)
11.6.5.2 Segmentation By Device Application
11.6.5.2.1 Servers and Datacenter Accelerators
11.6.5.2.2 PCs and Workstations
11.6.5.2.3 Mobile Devices and Tablets
11.6.5.2.4 Gaming Consoles and Handhelds
11.6.5.2.5 Automotive and ADAS
11.6.5.2.6 Other Device Application
11.6.6 Malaysia
11.6.6.1 Segmentation By Integration Type
11.6.6.1.1 Discrete GPUs (dGPU)
11.6.6.1.2 Integrated GPUs (iGPU)
11.6.6.2 Segmentation By Device Application
11.6.6.2.1 Servers and Datacenter Accelerators
11.6.6.2.2 PCs and Workstations
11.6.6.2.3 Mobile Devices and Tablets
11.6.6.2.4 Gaming Consoles and Handhelds
11.6.6.2.5 Automotive and ADAS
11.6.6.2.6 Other Device Application
11.6.7 Rest of Asia Pacific
11.6.7.1 Segmentation By Integration Type
11.6.7.1.1 Discrete GPUs (dGPU)
11.6.7.1.2 Integrated GPUs (iGPU)
11.6.7.2 Segmentation By Device Application
11.6.7.2.1 Servers and Datacenter Accelerators
11.6.7.2.2 PCs and Workstations
11.6.7.2.3 Mobile Devices and Tablets
11.6.7.2.4 Gaming Consoles and Handhelds
11.6.7.2.5 Automotive and ADAS
11.6.7.2.6 Other Device Application
Chapter 12. LAMEA Market
12.1 Market Overview
12.2 Key Factors Impacting Market
12.2.1 Market Drivers
12.2.2 Market Restraints
12.2.3 Market Opportunities
12.2.4 Market Challenges
12.2.5 Market Trends
12.2.6 State of Competition
12.2.7 Market Consolidation
12.2.8 Key Customer Criteria
12.3 Product Life Cycle
12.4 Segmentation By Integration Type
12.4.1 Discrete GPUs (dGPU)
12.4.2 Integrated GPUs (iGPU)
12.5 Segmentation By Device Application
12.5.1 Servers and Datacenter Accelerators
12.5.2 PCs and Workstations
12.5.3 Mobile Devices and Tablets
12.5.4 Gaming Consoles and Handhelds
12.5.5 Automotive and ADAS
12.5.6 Other Device Application
12.6 Segmentation By Country
12.6.1 Brazil
12.6.1.1 Segmentation By Integration Type
12.6.1.1.1 Discrete GPUs (dGPU)
12.6.1.1.2 Integrated GPUs (iGPU)
12.6.1.2 Segmentation By Device Application
12.6.1.2.1 Servers and Datacenter Accelerators
12.6.1.2.2 PCs and Workstations
12.6.1.2.3 Mobile Devices and Tablets
12.6.1.2.4 Gaming Consoles and Handhelds
12.6.1.2.5 Automotive and ADAS
12.6.1.2.6 Other Device Application
12.6.2 Argentina
12.6.2.1 Segmentation By Integration Type
12.6.2.1.1 Discrete GPUs (dGPU)
12.6.2.1.2 Integrated GPUs (iGPU)
12.6.2.2 Segmentation By Device Application
12.6.2.2.1 Servers and Datacenter Accelerators
12.6.2.2.2 PCs and Workstations
12.6.2.2.3 Mobile Devices and Tablets
12.6.2.2.4 Gaming Consoles and Handhelds
12.6.2.2.5 Automotive and ADAS
12.6.2.2.6 Other Device Application
12.6.3 UAE
12.6.3.1 Segmentation By Integration Type
12.6.3.1.1 Discrete GPUs (dGPU)
12.6.3.1.2 Integrated GPUs (iGPU)
12.6.3.2 Segmentation By Device Application
12.6.3.2.1 Servers and Datacenter Accelerators
12.6.3.2.2 PCs and Workstations
12.6.3.2.3 Mobile Devices and Tablets
12.6.3.2.4 Gaming Consoles and Handhelds
12.6.3.2.5 Automotive and ADAS
12.6.3.2.6 Other Device Application
12.6.4 Saudi Arabia
12.6.4.1 Segmentation By Integration Type
12.6.4.1.1 Discrete GPUs (dGPU)
12.6.4.1.2 Integrated GPUs (iGPU)
12.6.4.2 Segmentation By Device Application
12.6.4.2.1 Servers and Datacenter Accelerators
12.6.4.2.2 PCs and Workstations
12.6.4.2.3 Mobile Devices and Tablets
12.6.4.2.4 Gaming Consoles and Handhelds
12.6.4.2.5 Automotive and ADAS
12.6.4.2.6 Other Device Application
12.6.5 South Africa
12.6.5.1 Segmentation By Integration Type
12.6.5.1.1 Discrete GPUs (dGPU)
12.6.5.1.2 Integrated GPUs (iGPU)
12.6.5.2 Segmentation By Device Application
12.6.5.2.1 Servers and Datacenter Accelerators
12.6.5.2.2 PCs and Workstations
12.6.5.2.3 Mobile Devices and Tablets
12.6.5.2.4 Gaming Consoles and Handhelds
12.6.5.2.5 Automotive and ADAS
12.6.5.2.6 Other Device Application
12.6.6 Nigeria
12.6.6.1 Segmentation By Integration Type
12.6.6.1.1 Discrete GPUs (dGPU)
12.6.6.1.2 Integrated GPUs (iGPU)
12.6.6.2 Segmentation By Device Application
12.6.6.2.1 Servers and Datacenter Accelerators
12.6.6.2.2 PCs and Workstations
12.6.6.2.3 Mobile Devices and Tablets
12.6.6.2.4 Gaming Consoles and Handhelds
12.6.6.2.5 Automotive and ADAS
12.6.6.2.6 Other Device Application
12.6.7 Rest of LAMEA
12.6.7.1 Segmentation By Integration Type
12.6.7.1.1 Discrete GPUs (dGPU)
12.6.7.1.2 Integrated GPUs (iGPU)
12.6.7.2 Segmentation By Device Application
12.6.7.2.1 Servers and Datacenter Accelerators
12.6.7.2.2 PCs and Workstations
12.6.7.2.3 Mobile Devices and Tablets
12.6.7.2.4 Gaming Consoles and Handhelds
12.6.7.2.5 Automotive and ADAS
12.6.7.2.6 Other Device Application
Chapter 13. Company Snapshot
13.1 NVIDIA Corporation
13.1.1 Business Overview
13.1.2 Key Information
13.1.3 Company Focus
13.1.4 Strategic Insights
13.1.5 Strategy Deployed
13.1.6 Product & Service Portfolio
13.1.7 Capability Overview
13.1.8 Technology & Innovation Focus
13.1.9 Customers / End Users
13.1.10 Competitive Positioning
13.1.11 Key Differentiators
13.1.12 Portfolio Matrix
13.1.13 SWOT Analysis
13.1.14 Future Outlook
13.2 Advanced Micro Devices, Inc.
13.2.1 Business Overview
13.2.2 Key Information
13.2.3 Company Focus
13.2.4 Strategic Insights
13.2.5 Strategy Deployed
13.2.6 Product & Service Portfolio
13.2.7 Capability Overview
13.2.8 Technology & Innovation Focus
13.2.9 Customers / End Users
13.2.10 Competitive Positioning
13.2.11 Key Differentiators
13.2.12 Portfolio Matrix
13.2.13 SWOT Analysis
13.2.14 Future Outlook
13.3 Intel Corporation
13.3.1 Business Overview
13.3.2 Key Information
13.3.3 Company Focus
13.3.4 Strategic Insights
13.3.5 Strategy Deployed
13.3.6 Product & Service Portfolio
13.3.7 Capability Overview
13.3.8 Technology & Innovation Focus
13.3.9 Customers / End Users
13.3.10 Competitive Positioning
13.3.11 Key Differentiators
13.3.12 Portfolio Matrix
13.3.13 SWOT Analysis
13.3.14 Future Outlook
13.4 Apple Inc.
13.4.1 Business Overview
13.4.2 Key Information
13.4.3 Company Focus
13.4.4 Strategic Insights
13.4.5 Strategy Deployed
13.4.6 Product & Service Portfolio
13.4.7 Capability Overview
13.4.8 Technology & Innovation Focus
13.4.9 Customers / End Users
13.4.10 Competitive Positioning
13.4.11 Key Differentiators
13.4.12 Portfolio Matrix
13.4.13 SWOT Analysis
13.4.14 Future Outlook
13.5 Qualcomm Incorporated (Qualcomm Technologies, Inc.)
13.5.1 Business Overview
13.5.2 Key Information
13.5.3 Company Focus
13.5.4 Strategic Insights
13.5.5 Strategy Deployed
13.5.6 Product & Service Portfolio
13.5.7 Capability Overview
13.5.8 Technology & Innovation Focus
13.5.9 Customers / End Users
13.5.10 Competitive Positioning
13.5.11 Key Differentiators
13.5.12 Portfolio Matrix
13.5.13 SWOT Analysis
13.5.14 Future Outlook
13.6 Samsung Electronics Co., Ltd. (Samsung Group)
13.6.1 Business Overview
13.6.2 Key Information
13.6.3 Company Focus
13.6.4 Strategic Insights
13.6.5 Strategy Deployed
13.6.6 Product & Service Portfolio
13.6.7 Capability Overview
13.6.8 Technology & Innovation Focus
13.6.9 Customers / End Users
13.6.10 Competitive Positioning
13.6.11 Key Differentiators
13.6.12 Portfolio Matrix
13.6.13 SWOT Analysis
13.6.14 Future Outlook
13.7 Imagination Technologies Limited
13.7.1 Business Overview
13.7.2 Key Information
13.7.3 Company Focus
13.7.4 Strategic Insights
13.7.5 Strategy Deployed
13.7.6 Product & Service Portfolio
13.7.7 Capability Overview
13.7.8 Technology & Innovation Focus
13.7.9 Customers / End Users
13.7.10 Competitive Positioning
13.7.11 Key Differentiators
13.7.12 Portfolio Matrix
13.7.13 SWOT Analysis
13.7.14 Future Outlook
13.8 IBM Corporation
13.8.1 Business Overview
13.8.2 Key Information
13.8.3 Company Focus
13.8.4 Strategic Insights
13.8.5 Strategy Deployed
13.8.6 Product & Service Portfolio
13.8.7 Capability Overview
13.8.8 Technology & Innovation Focus
13.8.9 Customers / End Users
13.8.10 Competitive Positioning
13.8.11 Key Differentiators
13.8.12 Portfolio Matrix
13.8.13 SWOT Analysis
13.8.14 Future Outlook
13.9 MediaTek, Inc.
13.9.1 Business Overview
13.9.2 Key Information
13.9.3 Company Focus
13.9.4 Strategic Insights
13.9.5 Strategy Deployed
13.9.6 Product & Service Portfolio
13.9.7 Capability Overview
13.9.8 Technology & Innovation Focus
13.9.9 Customers / End Users
13.9.10 Competitive Positioning
13.9.11 Key Differentiators
13.9.12 Portfolio Matrix
13.9.13 SWOT Analysis
13.9.14 Future Outlook
13.10 Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
13.10.1 Business Overview
13.10.2 Key Information
13.10.3 Company Focus
13.10.4 Strategic Insights
13.10.5 Strategy Deployed
13.10.6 Product & Service Portfolio
13.10.7 Capability Overview
13.10.8 Technology & Innovation Focus
13.10.9 Customers / End Users
13.10.10 Competitive Positioning
13.10.11 Key Differentiators
13.10.12 Portfolio Matrix
13.10.13 SWOT Analysis
13.10.14 Future Outlook
Chapter 14. Winning Imperatives of Graphics Processing Unit (GPU) Market
13.8.1 Business Overview
13.8.2 Key Information
13.8.3 Company Focus
13.8.4 Strategic Insights
13.8.5 Strategy Deployed
13.8.6 Product & Service Portfolio
13.8.7 Capability Overview
13.8.8 Technology & Innovation Focus
13.8.9 Customers / End Users
13.8.10 Competitive Positioning
13.8.11 Key Differentiators
13.8.12 Portfolio Matrix
13.8.13 SWOT Analysis
13.8.14 Future Outlook
13.9 MediaTek, Inc.
13.9.1 Business Overview
13.9.2 Key Information
13.9.3 Company Focus
13.9.4 Strategic Insights
13.9.5 Strategy Deployed
13.9.6 Product & Service Portfolio
13.9.7 Capability Overview
13.9.8 Technology & Innovation Focus
13.9.9 Customers / End Users
13.9.10 Competitive Positioning
13.9.11 Key Differentiators
13.9.12 Portfolio Matrix
13.9.13 SWOT Analysis
13.9.14 Future Outlook
13.10 Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
13.10.1 Business Overview
13.10.2 Key Information
13.10.3 Company Focus
13.10.4 Strategic Insights
13.10.5 Strategy Deployed
13.10.6 Product & Service Portfolio
13.10.7 Capability Overview
13.10.8 Technology & Innovation Focus
13.10.9 Customers / End Users
13.10.10 Competitive Positioning
13.10.11 Key Differentiators
13.10.12 Portfolio Matrix
13.10.13 SWOT Analysis
13.10.14 Future Outlook
Chapter 14. Winning Imperatives of Graphics Processing Unit (GPU) Market

Companies Mentioned

• NVIDIA Corporation
• Advanced Micro Devices, Inc.
• Intel Corporation
• Apple Inc.
• Qualcomm Incorporated
• Imagination Technologies Limited
• Samsung Electronics Co., Ltd.
• MediaTek Inc.
• Huawei Technologies Co., Ltd.
• IBM Corporation