Asia-Pacific Deep Learning Processors for Data Center Market, Forecast to 2022
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
19-Mar-2018
Asia Pacific
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Description
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 learning in addition to big data and advanced algorithms.
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?
RESEARCH: INFOGRAPHIC
This infographic presents a brief overview of the research, and highlights the key topics discussed in it.Click image to view it in full size
Table of Contents
Key Findings
Key Findings (continued)
CEO’s Perspective
Market Overview
Introduction
Key Questions This Study Will Answer
Defining AI
Research Scope
Defining Deep Learning
Historical Roadblocks
Market Drivers
Key Drivers of Deep Learning
Market Restraints
Key Restraints of Deep Learning
Applications of Deep Learning
Natural Language Processing
Natural Language Processing (continued)
Computer Vision
Computer Vision (continued)
Automotive
Manufacturing
Healthcare
Market Proxies
Data Center Market
Growth of Data Center Energizes Adoption of DL Processors
Potential of DL Processor for Data Center Attracts Giants
Potential of DL Processors for Data Center Market in APAC
DL Processors for Data Center Market in APAC
Background
A 2-part Process—Training and Inference
Different Bets on the Future Type of Processors
Key Definitions of the Processors—CPU, GPU, FPGA, ASIC
Comparing the Processor—CPU, GPU, FPGA, ASIC
Key Player Analysis—Nvidia
Key Player Analysis—Intel
Key Player Analysis—Xilinx
Key Player Analysis—IBM
Key Player Analysis—AMD
Key Player Analysis—Google
Market Share of DL Processors in Data Centers by Types
Key Players’ Processors and Market at a Glance
Market Share of DL Processors for Data Centers by Players
Market Size and Growth, Forecast to 2022
Comparison of Commercialized Processors in the Market
Comparison of Commercialized Processors in the Market (continued)
Enhancing AI and DL Processor Techniques Through Acquisitions
Hyper Scale Data Centers Provide IaaS
Startups and Potential Companies—AI Processors Specifically
Startups and Potential Companies—For Data Center
Startups and Potential Companies—For Data Center (continued)
Startups and Potential Companies—In Stealth Mode
Growth Opportunity 1—Shed Light on Enormous and Unstructured Data in the Real World
Growth Opportunity 2—Accessibility of Computing Power
Strategic Imperatives for Success and Growth
Huge Potential in APAC for Deployments of DL Processors
A Quick Look at China
Chinese Giants (B.A.T)—AI Initiatives
China’s AI To-do List
A Quick Look at South Korea
A Quick Look at Japan
The Move of Key Players for DL Processors
Exclusive or Inclusive?
Edge vs. Cloud?
The Last Word—3 Big Predictions
Legal Disclaimer
List of Exhibits
List of Exhibits (continued)
Market Engineering Methodology
Related Research
Popular Topics
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
No Index | No |
---|---|
Podcast | No |
Author | Amy Lin |
Industries | Information Technology |
WIP Number | P9DF-01-00-00-00 |
Is Prebook | No |
GPS Codes | 9702-C1,9705-C1,9AD1-C1,9B07-C1,9A37-C1 |