Deep Learning Chip Market Analysis, Size, and Share by 2027

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

North America leads the global deep learning chip market, and it is anticipated to be the highest revenue contributor throughout the forecast period. Deep learning chip development is backed by large-scale investment from technological giants to develop patterns from a huge amount of generated data. The rise of quantum computing and the implementation of deep learning chips in robotics is driving the growth of the deep learning chip market in the North American countries.

Market Insights

The prominence of Quantum Computing contribute to the deep learning chip market growth

Quantum computing takes seconds to finish a calculation that would otherwise take more time. Quantum computers are an innovative transformation of artificial intelligence, machine learning, and big data. Therefore, the prominence of quantum computing is expected to drive the growth of the deep learning chip market. Furthermore, quantum computing is beneficial for various factors including, portfolio optimization, fraud detection, and risk management, and the areas where immediate data feedback is required. Thus, it is easier for a single processor to perform complex calculations in seconds. Additionally, with the internet's scale and size, deep learning helps to maintain large data sets at a very low cost. Hence, these factors expected to boost the growth of the global deep learning chip market.

Deep Learning Chip Market: Strategic Insights

Real-time consumer behavior insights and increased operational efficiency to propel the overall growth of deep learning chip market

The nature of business is becoming very competitive and to compete efficiently, enterprises nowadays relying on useful information and business analytics. Traditionally, business analytical tools were used to project sales from the data about events that were a week or month old. With the advent of artificial intelligence technology which learns in real-time and provides recommendations based on patterns, businesses have a tremendous opportunity to apply deep learning in various processes to better understand the business environment and customers.

Considering these factors, artificial intelligence enables businesses to improve operational efficiency, lower operating costs, enhance service quality and customer experience.

Chip Type Insights

Graphic Processing Units (GPUs) held the major deep learning chip market share in 2018, whereas Application-Specific Integrated Circuits (ASICs) is expected to be the fastest-growing segment during the forecast period. Owing to the factor that ASICs are very specific and less flexible but they are one of the highest performing hardware options available for artificial intelligence applications.

Technology Insights

The deep learning chipsets include system-on-chip, system-in-package, multi-chip module, and others, and other chipsets. The system-on-chip segment held the major deep learning chip market share in 2018, as it helps in reducing energy waste, space occupied by the large systems, and costs.

Industry Vertical Insights

The global deep learning chip market is categorized into BFSI, Retail, IT & Telecom, Automotive & Transportation, Healthcare, Media & Entertainment, and Others. BFSI held the major market share in the deep learning chip market, whereas healthcare is expected to be the fastest-growing segment in the market. The factors such as lessening the operational cost, adapting to changing compliances and regulations, focusing on core business, and integrating automation in business processes are other major factors that are fueling the growth BFSI segment in the deep learning chip market

The market players present in the deep learning chip market are mainly focusing on product enhancements by implementing advanced technologies. By signing partnerships, contracts, joint ventures, funding, and inaugurating new offices across the world permit the company to maintain its brand name globally. Few of the recent developments are listed below;

2019: NVIDIA has partnered with Hackster.io to launch the AI at the Edge Challenge, a competition where developers utilize the NVIDIA Jetson Nano Developer Kit for building creative and unique projects and earn a chance to win from $100K in prizes.

2019: Intel announced its plans to expand the Oregon factory to produce a 7nm chip. Intel’s new factory will be the third phase of D1X, a massive factory Intel began in 2010. Each of the first two phases was 1.1. Million square feet, creating a combined facility equivalent to 15 Costco warehouse stores. The third phase will apparently increase D1X’s manufacturing space by about 50 percent. Further, Intel says its factory expansion will enable it to respond 60 percent faster to chip shortages.

2019: Huawei launched HiSecEngine USG12000, Industry's first T-level AIFW. The HiSecEngine USG12000 is equipped with Ascend AI chips, which provides intelligent detection capabilities as well as intelligent border defense for enterprise networks.

Deep Learning Chip Market Players Density: Understanding Its Impact on Business Dynamics

The Deep Learning Chip Market is growing rapidly, driven by increasing end-user demand due to factors such as evolving consumer preferences, technological advancements, and greater awareness of the product's benefits. As demand rises, businesses are expanding their offerings, innovating to meet consumer needs, and capitalizing on emerging trends, which further fuels market growth.

GLOBAL DEEP LEARNING CHIP MARKET SEGMENTATION

By Chip Type

• GPU
• ASIC
• FPGA
• CPU
• Others

By Technology

• System-on-Chip
• System-in-Package
• Multi-chip Module
• Others

By Industry Vertical

• Media & Advertising
• BFSI, IT & Telecom
• Retail
• Healthcare
• Automotive & Transportation
• Others

By Geography

• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • France
  • Germany
  • UK
  • Russia
  • Italy
  • Rest of Europe
• Asia Pacific (APAC)
  • Australia
  • China
  • India
  • Japan
  • South Korea       
  • Rest of APAC
• Middle East & Africa (MEA)
  • Saudi Arabia
  • South Africa
  • UAE
  • Rest of MEA
• South America (SAM)
  • Brazil
  • Argentina
  • Rest of SAM

Company Profiles

• Advanced Micro Devices, Inc.
• Alphabet Inc. (Google)
• Amazon.com, Inc.
• Baidu, Inc.
• Huawei Technologies Co., Ltd
• Intel Corporation
• NVIDIA Corporation
• Qualcomm Incorporated
• Samsung Electronics Co., Ltd.
• Xilinx, Inc.