Home Technology & Telecommunication Semiconductor North America Deep Learning Chip Market to 2027

North America Deep Learning Chip Market to 2027

Publisher: The Insight Partners
Publication Date: January, 2020
Technology & Telecommunication / Semiconductor
Pages: 111
Delivery Format: PDF

Regional Analysis and Forecasts by Chip Type (GPU, ASIC, FPGA, CPU, Others); Technology (System - on - Chip, System - in - Package, Multi - chip Module, Others); Industry Vertical (Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, and Others)

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The North America deep learning chip market accounted for US$ 900.1 Mn in 2018 and is expected to grow at a CAGR of 27.1% over the forecast period 2019-2027, to account for US$ 7836.4 Mn in 2027. The increasing investments in deep learning chip start-ups is the major factors that is propelling the growth of the deep learning chip market. Moreover, the increasing adoption of cloud-based computing across several industries is expected to boost the deep learning chip market during the forecast period. Further, the strong focus on the development of ASICs and application-specific custom/hybrid deep learning chips is anticipated to offer lucrative growth opportunities for the deep learning chip market. Presently, the major applications of deep learning chips are in the data center/cloud computing segment, and this trend is expected to continue during the forecast period. Also, majorly due to rising adoption of AI, evolving architectures of deep learning chips and increasing applications across various industry verticals. Owing to this growing trend, the companies are anticipated to produce high-quality service by adopting cloud-based artificial intelligence services. The artificial intelligence technology is complex and expensive to build in-house by any enterprise. Not every mid-size or to some extent even the large enterprise finds it feasible to invest in in-house artificial intelligence system, and hence most enterprises use data centers for their artificial intelligence applications. Each enterprise requires a specific artificial solution and using cloud service providers for these specific use cases are considered as the best business model for artificial intelligence technology providers. Hence, in the coming years, the adoption of cloud-based artificial intelligence solutions is expected to grow at an impressive rate during the forecast period from 2019 to 2027.
The deep learning chip market is fragmented in nature due to the presence of several industries, and the competitive dynamics in the market is anticipated to change during the coming years. In addition to this, various initiatives are undertaken by governmental bodies to accelerate the deep learning chip market further. The North American countries are developing various policies and outlining best practices to implement advanced technologies such as AI, deep learning for promoting innovation in various industry sectors. Further, the political agendas for North American countries are aligned with the development of AI and Machine Learning (ML). AI technologies such as self-adapting ML, deep learning or Natural language processing (NLP) are expected to transform the way businesses work. However, there are many challenges related to data privacy and other concerns that are in the way of mass penetration of deep learning in various industries. Governments of various North American countries are working on drafting robust and comprehensive set of regulations and policies for a holistic development of technologies in this region.
The deep learning chip market on the basis of technology is segmented into System-on-Chip, System-in-Package, Multi-chip Module, and Others. During the forecast period of 2019 to 2027, the System-on-Chip segment is anticipated to be the largest contributor in the deep learning chip market. While, System-in-Package segment is projected to be the fastest growing technology with the highest CAGR over the forecast period.
The overall deep learning chip market size has been derived using both primary and secondary source. The research process begins with exhaustive secondary research using internal and external sources to obtain qualitative and quantitative information related to the deep learning chip market. It also provides an overview and forecast for the deep learning chip market based on all the segmentation provided with respect to the North American region. Also, primary interviews were conducted with industry participants and commentators to validate data and analysis. The participants who typically take part in such a process include industry expert such as VPs, business development managers, market intelligence managers, and national sales managers, and external consultants such as valuation experts, research analysts, and key opinion leaders specializing in the deep learning chip market. Some of the players present in deep learning chip market are Advanced Micro Devices, Inc., Amazon.com, Inc., Huawei Technologies Co., Ltd., Baidu, Inc., Alphabet Inc. (Google), Intel Corporation, NVIDIA Corporation, Qualcomm Technologies, Inc., Samsung Electronics Co. Ltd., and Xilinx Inc. among others.

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• Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the North America deep learning chip market
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• The key findings and recommendations highlight crucial progressive industry trends in the North America 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 North America 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

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