Asia-Pacific Deep Learning Processors for Data Center Market, Forecast to 2022

Key Players are Enabling AI Computing Power to Data Centers with Different Strategies and Processors Possessing Diverse Characteristics

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This study explores the explosion of Artificial Intelligence (AI), and more specifically, deep learning. We look into the current applications of deep learning as well what lies ahead for the future from the data centers. The advancement of deep learning (DL) stimulates the development of artificial intelligence (AI). DL includes 2 learning phases which are training and inference. The study period is expected to see increasing deep learning workload, both training and inference, in the data centers for internal usage and of providing computing power as a cloud service. The support of hardware and processors with better compute performance and power-efficiency are critical to accelerate the development of deep l

Research Scope

This study also focuses largely on the computing solutions that are powering deep learning networks, broken down into the key market players, platforms and architecture. Key players such as Intel, NVIDIA, Xilinx, AMD, Google, IBM etc., have placed their investment on different architectures and technology including Graphics Processing Unit (GPU), Field-Programmable Gate Arrays (FPGA), Application-Specific Integrated Circuit (ASIC), neuromorphic chips and quantum computing, etc., to lead the market. A growing number of funds are also invested on the potential start-ups by venture capitals. This study scans different types of DL processors in the data center and analyzes the key players in the industry. In addition, the research also explores the new entrants for the innovation of deep learning processors for data centers. An examination of application of artificial intelligence in APAC market, the development in the APAC region, and the future trends of DL processors in the data center will be included in this report.

Research Highlights

In brief, this research service provides the following:

1. Introduction of DL

2. Key drivers and challenges and applications

3. DL workload in the data center and market of the DL processors

4. Key players and competitive analysis

5. Potential new entrants

5. Highlight of APAC region development

6. Trends and future of DL processors in data centers

Key Issues Addressed

  • What is deep learning and its current applications in the market?
  • How DL processors benefit data centers? What is the reason that data centers require processors particularly for DL workload?
  • How’s the current market development of DL processor for data center?
  • Who are key players and what are their strategies in the market? Is there any potential new entrant worth noticing?
  • How’s the development of DL in the data center in APAC market? What are the key strengths of the market?
  • What are the trends of DL processor development in data centers in terms of product and business partnership or ecosystem development?


Table of Contents

Executive SummaryKey FindingsKey Findings (continued)CEO’s PerspectiveMarket OverviewMarket OverviewIntroductionKey Questions This Study Will AnswerDefining AIResearch ScopeDefining Deep LearningHistorical RoadblocksKey Drivers & Restraints of Deep LearningMarket DriversKey Drivers of Deep LearningMarket RestraintsKey Restraints of Deep LearningApplications and Use Cases of Deep LearningApplications of Deep LearningNatural Language ProcessingNatural Language Processing (continued)Computer VisionComputer Vision (continued)AutomotiveManufacturingHealthcareDeep Learning in Data CentersMarket ProxiesData Center MarketGrowth of Data Center Energizes Adoption of DL ProcessorsPotential of DL Processor for Data Center Attracts GiantsPotential of DL Processors for Data Center Market in APACDL Processors for Data Center Market in APACThe Computing Power Behind Tasks and ProcessorsBackgroundA 2-part Process—Training and InferenceDifferent Bets on the Future Type of ProcessorsKey Definitions of the Processors—CPU, GPU, FPGA, ASICComparing the Processor—CPU, GPU, FPGA, ASICKey Market PlayersKey Player Analysis—NvidiaKey Player Analysis—IntelKey Player Analysis—XilinxKey Player Analysis—IBMKey Player Analysis—AMDKey Player Analysis—GoogleMarket Share and Competitive AnalysisMarket Share of DL Processors in Data Centers by TypesKey Players’ Processors and Market at a GlanceMarket Share of DL Processors for Data Centers by PlayersMarket Size and Growth, Forecast to 2022Comparison of Commercialized Processors in the MarketComparison of Commercialized Processors in the Market (continued)Enhancing AI and DL Processor Techniques Through AcquisitionsHyper Scale Data Centers Provide IaaSRising Stars for Deep Learning ProcessorsStartups and Potential Companies—AI Processors SpecificallyStartups and Potential Companies—For Data CenterStartups and Potential Companies—For Data Center (continued)Startups and Potential Companies—In Stealth ModeGrowth Opportunities and Companies to ActionGrowth Opportunity 1—Shed Light on Enormous and Unstructured Data in the Real WorldGrowth Opportunity 2—Accessibility of Computing PowerStrategic Imperatives for Success and Growth Highlight of APAC Region DevelopmentHuge Potential in APAC for Deployments of DL Processors A Quick Look at ChinaChinese Giants (B.A.T)—AI InitiativesChina’s AI To-do ListA Quick Look at South KoreaA Quick Look at JapanFuture of the Processor MarketThe Move of Key Players for DL ProcessorsExclusive or Inclusive?Edge vs. Cloud?The Last WordThe Last Word—3 Big PredictionsLegal DisclaimerAppendixList of ExhibitsList of Exhibits (continued)Market Engineering Methodology


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