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

RELEASE DATE
19-Mar-2018
REGION
Asia Pacific
Research Code: P9DF-01-00-00-00
SKU: IT03604-AP-MR_21569
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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.
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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
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.--BEGIN PROMO--

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

More Information
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