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2022
Power Architecture Processor Market

Power Architecture Processor Market by Architecture (X86, ARM, and Others), GPU Type (Discrete and Integrated), Functionality (Real- time Systems and Standalone Systems), Deployment (On-cloud and In-premise), Application (Servers & Datacenters, Consumer Electronics, Industrial, Automotive, BFSI, Aerospace & Defense, Healthcare, and Other): Global Opportunity Analysis and Industry Forecast, 2021–2030Power Architecture Processor Market by Architecture (X86, ARM, and Others), GPU Type (Discrete and Integrated), Functionality (Real- time Systems and Standalone Systems), Deployment (On-cloud and In-premise), Application (Servers & Datacenters, Consumer Electronics, Industrial, Automotive, BFSI, Aerospace & Defense, Healthcare, and Other): Global Opportunity Analysis and Industry Forecast, 2021–2030

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COVID-19

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Power architecture processor is a RISC (Reduced Instruction Set Computer) architecture that produces extremely powerful yet low-cost microprocessors. The RISC architecture attempts to keep the processor as busy as possible. It has various features such as implementation on a large scale, design of the processor is straightforward, architecture based on superscalars, the architecture is 64 bits, can be switch between modes while running, for floating-point instructions and a separate set of Floating-Point Registers (FPRs) is used. Over the last few years, the processor market has been primarily driven by increased data availability and improved algorithms. Power architecture processors are used in a variety of applications, including medical imaging, CAD & CAE, animation modeling and rendering, computation, and design and visualization. Increased IoT adoption is expected to connect billions of new devices, necessitating greater computing efficiencies and speed. Integrations of FPGAs and CPUs for high performance supercomputing or computing applications are also expected to fuel the power architecture processor market size in the near future. 

The power architecture processor market share is segmented on the basis of architecture, GPU type, functionality, deployment, application, and region. On the basis of architecture, it is classified into X86, ARM, and others. On the basis of GPU type, it is divided into discrete and integrated. On the basis of functionality, it is categorized into real- time systems and standalone systems. On the basis of deployment, it is studied across on-cloud and in-premise. On the basis of Application, it is divided into servers & datacenters, consumer electronics, industrial, automotive, bfsi, aerospace & defense, healthcare, and other. On the basis of region, it is studied across North America, Europe, Asia-Pacific, and LAMEA.

The key players covered in the power architecture processor industry are Apple, Intel Corporation, NVIDIA Corporation, Xilinx Inc., TeraDeep Inc., Advanced Micro Devices CPUs, Advanced Micro Devices, Graphcore Ltd., Alphabet Inc., Qualcomm Incorporated. These players adopt collaboration, partnership, and agreement as their key developmental strategies to increase revenue of the power architecture processor industry and develop new products for enhancing their product portfolio.

COVID-19 impact analysis

The ongoing COVID-19 outbreak has caused economic problems. It has disrupted supply chains and drive corporations and entire industries to reconsider and adapt to the global supply chain paradigm. Many power architecture processor manufacturing firms have ceased operations, causing collateral harm to the supply chain and the industry. This disruption has slowed the uptake of AI-powered applications and devices. To recuperate from the losses incurred by the lockdown and economic slowdown, companies have begun to rearrange their business models for 2020, and many SMEs and big manufacturing plants have halted/postponed any new technological upgrades in their factories.

Top impacting factors

Users such as architects and graphic designers rely on low-cost workstations for image processing applications that use 2D and 3D graphics. This necessitates the execution of complex algorithms, which is enabled by the use of specialized graphical processors. Advances in devices such as laptops, televisions (including smart TVs), and speakers that provide immersive visual experiences such as 4K and 8K viewing and superior sound quality by utilizing a high-quality codec and audio processors for sound processing have resulted in an increase in demand for microprocessors in these devices, thereby encouraging power architecture processor market opportunity. As more smart homes are built, the demand for smart applications such as smart speakers grows. These intelligent devices feature advanced low-power, high-performance processors with AI capabilities. With the expansion of the microprocessor and GPU markets, the penetration of these smart devices and wearables is expected to rise globally. However, the rise in the popularity of smartphones and tablets in recent years has an impact on the demand for PCs. The portability and performance of new generation smartphones and tablets have an impact on the growth of microprocessors and the GPU market. 

Power architecture processors and GPUs are typically more expensive than those found in smartphones and tablets. Desktop PCs are experiencing the greatest decline in the PC category, as more users prefer portable devices for day-to-day operations, which is considered to be a restraining factor for the market. Furthermore, as PCs have a long lifecycle, they cannot be replaced in a short period of time, resulting in an increase in overall demand for the power architecture processor market growth.

Market trends

New product launches to flourish the market

Intel, an American multinational corporation and technology company, announced the release of its 10th generation Core H series mobile processors in April 2020. The new processors have 8 cores and 16 threads, with a turbo speed of up to 5.3 GHz. To provide immersive gameplay, high responsiveness, and intelligent performance tuning, the processors also include Intel's Turbo Boost Max Technology 3.0, Adaptix Dynamic Tuning Technology, Integrated Wi-Fi AX201, and support for Thunderbolt 3 and Intel Optane memory.  

Surge in usage in artificial intelligence (AI) and deep learning-based applications, such as supercomputers

Deep learning training and inference systems are in high demand across a wide range of industries, from automated driving and electronic devices to industrial automation. Deep learning is used in smart devices such as smart speakers and smart TVs for speech translation and automated hearing. To deliver results, these devices adapt to the surrounding voices and understand user preferences. Finance and banking are two other industries that have seen rapid adoption of AI-based applications in recent years. For bitcoin mining, the rapidly expanding cryptocurrency market employs high-performance AI processors. Finance firms use AI chatbots that incorporate NLP techniques to provide self-help customer service. With the growing number of COVID-19 cases worldwide, the use of supercomputers is increasing rapidly among research firms, institutions, and governments. These supercomputers make use of high-performance AI processors and GPU accelerators to aid in the development of vaccines and therapies to cure and combat the COVID-19 virus.

Market scope and structure analysis

Report Metric

Details

   Market Size Available for Years

 2020–2030

  Base Year Considered

  2020

  Forecast Period

  2021–2030

  Forecast Unit

  Value ($)

  Segments Covered

 Architecture, GPU Type, Functionality, Deployment, Application, and Region

  Regions Covered

 North America - U.S., Canada, Mexico

 Europe – UK, Germany, France, Italy, Rest of Europe

 Asia-Pacific - China, Japan, India, South Korea, Rest of Asia-   Pacific

 LAMEA - Latin America, Middle East, Africa

  Companies Covered

Apple, Intel Corporation, NVIDIA Corporation, Xilinx Inc., TeraDeep Inc., Advanced Micro Devices CPUs, Advanced Micro Devices, Graphcore Ltd., Alphabet Inc., Qualcomm Incorporated

 

Key benefits of the report

  • This study presents the analytical depiction of the power architecture processor market along with the current trends and future estimations to determine the imminent investment pockets.
  • The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of the power architecture processor market share.
  • The current market is quantitatively analyzed from 2020 to 2030 to highlight market growth scenario.
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in the power architecture processor market. 
  • The report provides a detailed power architecture processor market analysis based on competitive intensity and how the competition will take shape in coming years

Key segments covered

Segment

Sub-segment

  Architecture

  • X86
  • ARM
  • Others

  GPU Type

  • Discrete
  • Integrated

  Functionality

  • Real- time Systems
  • Standalone Systems

  Deployment

  • On-cloud
  • In-premise

  Application

  • Servers & Datacenters
  • Consumer Electronics
  • Industrial, Automotive
  • Banking, Financial Services, and Insurance (BFSI)
  • Aerospace & Defense
  • Healthcare
  • Others

 

Questions answered in report

  • What are the leading market players active in the power architecture processor industry?
  • What are the current trends that will influence the market in the next few years?
  • What are the driving factors, restraints, and opportunities in the market?
  • What are the projections for the future would help in taking further strategic steps? 
 
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We refer a broad array of industry sources for our secondary, which typically include; however, not limited to: Company SEC filings, annual reports, company websites, broker & financial reports and investor presentations for competitive scenario and shape of the industry

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