Posted By Wanda Rich
Posted on September 22, 2021
According to the report published by Allied Market Research, titles, “Artificial Intelligence Chip Market by Chip Type (GPU, ASIC, FPGA, CPU, and others), Application (Natural Language Processing (NLP), Robotic, Computer Vision, Network Security, and Others), Technology (System-on-Chip, System-in-Package, Multi-chip Module, and Others), Processing Type (Edge and Cloud), and Industry Vertical (Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, and Others): Global Opportunity Analysis and Industry Forecast, 2019-2025” the global AI chip market was pegged at $6.64 billion in 2018 and is projected to attain $91.18 billion by 2025, registering a CAGR of 45.2% during the forecast period. The report provides a detailed analysis of the market size & estimations, top investment pockets, top winning strategies, drivers & opportunities, competitive scenario, and changing market trends.
A surge in demand for smart homes & smart cities, a rise in investments in AI startups, and the appearance of quantum computing are the factors for the growth of the global AI chip market. However, a dearth of skilled workforce impedes the market growth. On the other hand, a surge in the adoption of AI chips in emerging countries and the development of smart robots are expected to bring multiple opportunities in the near future.
Download Sample Report: https://www.alliedmarketresearch.com/request-sample/4515
The market is bifurcated into chip type, application, industry vertical, technology, processing type, and region. Based on chip type the market is divided into graphical processing unit (GPU), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), central processing unit (CPU), and others. The GPU chips segment held the lion’s share in 2018, contributing to nearly one-third of the market. On the other hand, the ASIC segment is expected to register the fastest growing CAGR of 51.9% throughout the study period.
Based on applications, the natural language processing segment dominated the market in 2018, contributing nearly one-third of the total revenue share, and is expected to maintain its dominance throughout the study period. However, the robotics process automation segment is estimated to register the highest CAGR of 49.9% throughout the study period.
Based on geography, North America held the highest share in 2018, accounting for more than one-third of the total revenue. The region is expected to dominate the market throughout the study period. However, the market across the Asia-Pacific region is estimated to manifest the fastest CAGR of 49.7% throughout the forecast period.
The report provides an in-depth analysis of the major market players, including Mythic, Baidu, NVIDIA, Adapteva, UC-Davis, Advanced Micro Devices (AMD), Graphcore, Qualcomm, and Intel Corporation, Google, Inc.
Have Any Query? Ask our Research Experts: https://www.alliedmarketresearch.com/purchase-enquiry/4515
About Us
Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.
Contact:
David Correa
5933 NE Win Sivers Drive
#205, Portland, OR 97220
United States
USA/Canada (Toll Free):
+1-800-792-5285, +1-503-894-6022
UK: +44-845-528-1300
Hong Kong: +852-301-84916
India (Pune): +91-20-66346060
Fax: +1(855)550-5975
According to the report published by Allied Market Research, titles, “Artificial Intelligence Chip Market by Chip Type (GPU, ASIC, FPGA, CPU, and others), Application (Natural Language Processing (NLP), Robotic, Computer Vision, Network Security, and Others), Technology (System-on-Chip, System-in-Package, Multi-chip Module, and Others), Processing Type (Edge and Cloud), and Industry Vertical (Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, and Others): Global Opportunity Analysis and Industry Forecast, 2019-2025” the global AI chip market was pegged at $6.64 billion in 2018 and is projected to attain $91.18 billion by 2025, registering a CAGR of 45.2% during the forecast period. The report provides a detailed analysis of the market size & estimations, top investment pockets, top winning strategies, drivers & opportunities, competitive scenario, and changing market trends.
A surge in demand for smart homes & smart cities, a rise in investments in AI startups, and the appearance of quantum computing are the factors for the growth of the global AI chip market. However, a dearth of skilled workforce impedes the market growth. On the other hand, a surge in the adoption of AI chips in emerging countries and the development of smart robots are expected to bring multiple opportunities in the near future.
Download Sample Report: https://www.alliedmarketresearch.com/request-sample/4515
The market is bifurcated into chip type, application, industry vertical, technology, processing type, and region. Based on chip type the market is divided into graphical processing unit (GPU), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), central processing unit (CPU), and others. The GPU chips segment held the lion’s share in 2018, contributing to nearly one-third of the market. On the other hand, the ASIC segment is expected to register the fastest growing CAGR of 51.9% throughout the study period.
Based on applications, the natural language processing segment dominated the market in 2018, contributing nearly one-third of the total revenue share, and is expected to maintain its dominance throughout the study period. However, the robotics process automation segment is estimated to register the highest CAGR of 49.9% throughout the study period.
Based on geography, North America held the highest share in 2018, accounting for more than one-third of the total revenue. The region is expected to dominate the market throughout the study period. However, the market across the Asia-Pacific region is estimated to manifest the fastest CAGR of 49.7% throughout the forecast period.
The report provides an in-depth analysis of the major market players, including Mythic, Baidu, NVIDIA, Adapteva, UC-Davis, Advanced Micro Devices (AMD), Graphcore, Qualcomm, and Intel Corporation, Google, Inc.
Have Any Query? Ask our Research Experts: https://www.alliedmarketresearch.com/purchase-enquiry/4515
About Us
Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.
Contact:
David Correa
5933 NE Win Sivers Drive
#205, Portland, OR 97220
United States
USA/Canada (Toll Free):
+1-800-792-5285, +1-503-894-6022
UK: +44-845-528-1300
Hong Kong: +852-301-84916
India (Pune): +91-20-66346060
Fax: +1(855)550-5975
