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Global Deep Learning Chip Market (2019 to 2027) - Drivers, Restraints, Opportunities and Trends - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "Deep Learning Chip Market to 2027 - Global Analysis and Forecasts By Chip Type; Technology; Industry Vertical" report has been added to ResearchAndMarkets.com's offering.

The global deep learning chip market accounted for US$ 2.04 Bn in 2018 and is expected to grow at a CAGR of 30.0% over the forecast period 2019-2027, to account for US$ 21.31 Bn in 2027.

The increasing investments in deep learning chip start-ups, prominence of quantum computing, and real time consumer behavior insights & increased operational efficiency are few of the factors driving the deep learning chip market worldwide. However, lack of infrastructure & technology know-how in third world countries and dearth of skilled workforce may restrain the future growth of market. Despite these limitations, rising adoption of cloud-based computing across industries is anticipated to offer ample growth opportunities for the players operating in the deep learning chip market during the forecast period.

The market for deep learning chip has been segmented on the basis of chip type, technology, industry vertical, and geography. The deep learning chip market based on chip type is led by GPU segment and is expected to continue its dominance in the forecast period. The deep learning chip market on the basis of technology is segmented into system-on-chip, system-in-package, multi-chip module, others.

The System-on-Chip technology led the deep learning chip market and it is anticipated to continue its dominance during the forecast period. The market for deep learning chip by industry vertical is further segmented into media & advertising, BFSI, it & telecom, retail, healthcare, automotive & transportation, and others. The BFSI sector is expected to hold the lion's share in the year 2018 and is expected to continue its dominance till 2027.

Reasons to Buy

  • Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global deep learning chip market
  • Highlights key business priorities in order to assist companies to realign their business strategies
  • The key findings and recommendations highlight crucial progressive industry trends in the global deep learning chip market, thereby allowing players across the value chain to develop effective long-term strategies
  • Develop/modify business expansion plans by using substantial growth offering developed and emerging markets
  • Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it
  • Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to client products, segmentation, pricing and distribution

Key Topics Covered:

1. Introduction

2. Key Takeaways

3. Research Methodology

4. Deep Learning Chip Market Landscape

4.1 Market Overview

4.2 PEST Analysis

4.3 Ecosystem Analysis

4.4 Expert Opinions

5. Deep Learning Chip Market - Global Market Analysis

5.1 Global Deep Learning Chip Market Overview

5.2 Global Deep Learning Chip Market Forecast and Analysis

5.3 Market Positioning- Top Five Players

6. Deep Learning Chip market - Key Industry Dynamics

6.1 Key Market Drivers

6.1.1 Increasing investments in deep learning chip start-ups

6.1.2 Prominence of Quantum Computing

6.1.3 Real time consumer behaviour insights and increased operational efficiency

6.2 Key Market Restraints

6.2.1 Dearth of skilled workforce

6.2.2 Lack of infrastructure and technology know-how in third world countries

6.3 Key Market Opportunities

6.3.1 Rising adoption of cloud-based computing across industries

6.3.2 Adoption of deep learning chips in edge devices is expected to boom in the forecast period

6.4 Future Trends

6.4.1 ASICs and application-specific custom/hybrid deep learning chips will be the future of deep learning chip market

6.5 impact analysis of Drivers and restraints

7. Deep Learning Chip Market Analysis - By Chip Type

7.1 Overview

7.2 Deep Learning Chip Market Breakdown, By Chip Type, 2018 & 2027

7.3 GPU

7.4 ASIC

7.5 FPGA

7.6 CPU

7.7 Others

8. Deep Learning Chip Revenue and Forecasts to 2027 - Technology

8.1 Overview

8.2 Deep Learning Chip Market Breakdown, By Technology, 2018 & 2027

8.3 System-on-Chip

8.4 System-in-Package

8.5 Multi-Chip Module

8.6 Others

9. Deep Learning Chip Market Analysis - By Industry Vertical

9.1 Overview

9.2 Deep Learning Chip Market Breakdown, By Industry Vertical, 2018 & 2027

9.3 Media & Advertising

9.4 BFSI

9.5 IT & Telecom

9.6 Retail

9.7 Healthcare

9.8 Automotive & Transportation

9.9 Others

10. Deep Learning Chip Market - Geographic Analysis

10.1 Overview

10.2 North America Deep learning chip Market Revenue and Forecast to 2027

10.3 Europe Deep Learning Chip Market Revenue and Forecast to 2027

10.4 APAC Deep Learning Chip Market Revenue and Forecasts to 2027

10.5 Middle East and Africa Deep Learning Chip Market Revenue and Forecasts to 2027

10.6 South America Deep Learning Chip Market Revenue and Forecasts to 2027

11. Industry Landscape

11.1 Overview

11.2 Market Initiative

11.3 Merger and Acquisition

11.4 New Development

12. Deep Learning Chip Market - Company Profiles

12.1 Advanced Micro Devices, Inc.

12.1.1 Key Facts

12.1.2 Business Description

12.1.3 Products and Services

12.1.4 Financial Overview

12.1.5 SWOT Analysis

12.1.6 Key Developments

12.2 Alphabet Inc. (Google)

12.3 Amazon.com, Inc.

12.4 Baidu, Inc.

12.5 Huawei Technologies Co., Ltd.

12.6 Intel Corporation

12.7 NVIDIA Corporation

12.8 Qualcomm Incorporated

12.9 Samsung electronics Co., Ltd.

12.10 Xilinx, Inc.

For more information about this report visit https://www.researchandmarkets.com/r/oe4ufz

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Research and Markets


Release Versions

Contacts

ResearchAndMarkets.com
Laura Wood, Senior Press Manager
press@researchandmarkets.com
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900

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