Market Summary
Global Deep Learning Chip Market Overview
The Deep Learning Chip Market Size was estimated at 6.8 (USD Billion) in 2023. The Deep Learning Chip Market industry is expected to grow from 12.4 (USD Billion) in 2024 to 74.5 (USD Billion) by 2032. The Deep Learning Chip Market CAGR (growth rate) is expected to be around 23% during the forecast period (2024-2032).
Key Deep Learning Chip Market Trends Highlighted
Key drivers of the Deep Learning Chip market include the escalating demand for AI-powered applications, the rapid adoption of cloud computing services, and the proliferation of Internet of Things (IoT) devices. Additionally, advancements in deep learning algorithms and the need for efficient processing of massive datasets further contribute to market growth.
Opportunities lie in the exploration of domain-specific chips, the development of ultra-low-power chips for edge devices, and the integration of deep learning capabilities into existing silicon platforms. The increasing adoption of deep learning in industries such as healthcare, finance, and manufacturing presents significant growth potential.
Recent trends include the shift towards heterogeneous computing architectures that combine different chip types for optimal performance, the emergence of software-defined hardware that allows for flexibility and customization, and the growing emphasis on energy efficiency and sustainability in chip design. These trends shape the future of the Deep Learning Chip market, driving innovation and expanding its applications across various domains.
Source Primary Research, Secondary Research, MRFR Database and Analyst Review
Deep Learning Chip Market Drivers
Advancements in Artificial Intelligence (AI) and Machine Learning (ML)
The increasing adoption and advancements in AI and ML technologies are driving the growth of the Deep Learning Chip Market. Deep learning chips are specialized hardware designed to accelerate the processing of deep learning algorithms, which are essential for various AI applications such as image recognition, natural language processing, and speech recognition. As AI and ML continue to revolutionize industries, the demand for deep learning chips is expected to increase significantly, fueling the growth of the market.
Growing Demand for High-Performance Computing (HPC)
The increasing demand for HPC in various sectors, including scientific research, data analytics, and financial modeling, is driving the growth of the Deep Learning Chip Market. Deep learning chips offer high computational power and efficiency, making them ideal for handling complex and data-intensive HPC applications. As the demand for HPC grows, the need for specialized deep learning chips is expected to increase, contributing to the market's growth.
Expansion of Cloud and Edge Computing
The expansion of cloud and edge computing is creating new opportunities for the Deep Learning Chip Market. Cloud computing provides access to powerful computing resources on demand, while edge computing brings computation closer to the data source. Deep learning chips are well-suited for both cloud and edge computing environments, enabling the deployment of AI and ML applications at scale. As the adoption of cloud and edge computing grows, the demand for deep learning chips is expected to increase, driving the market's growth.
Deep Learning Chip Market Segment Insights
Deep Learning Chip Market Chip Type Insights
The Deep Learning Chip Market segmentation by Chip Type includes GPU, FPGA, and ASIC. In 2023, the GPU segment held the largest market share of 65%, driven by its high computational power and ability to handle complex deep learning algorithms. The FPGA segment is expected to grow at a CAGR of 25.3% during the forecast period, owing to its flexibility and reconfigurability. The ASIC segment is projected to witness the fastest growth rate of 33.4% during the same period, due to its high efficiency and low power consumption. The increasing adoption of deep learning across various applications, such as image recognition, natural language processing, and speech recognition, is fueling the demand for deep learning chips.
The growing popularity of cloud computing and the rise of edge computing are also contributing to the growth of the market. The demand for deep learning chips is expected to remain strong in the coming years, as deep learning becomes increasingly integrated into a wide range of applications. Key players in the Deep Learning Chip Market include NVIDIA, Intel, AMD, Xilinx, and Qualcomm. These companies are investing heavily in research and development to improve the performance and efficiency of their deep learning chips. The competitive landscape of the market is expected to remain intense in the coming years, as companies strive to gain market share. In terms of regional segmentation, North America is expected to remain the largest market for deep learning chips throughout the forecast period. The region is home to a number of leading technology companies and research institutions, which are driving the adoption of deep learning. Asia Pacific is expected to be the fastest-growing region for deep learning chips, due to the increasing adoption of deep learning in various applications, such as e-commerce, healthcare, and manufacturing.
Source Primary Research, Secondary Research, MRFR Database and Analyst Review
Deep Learning Chip Market Architecture Insights
The Deep Learning Chip Market is segmented by Architecture into Von Neumann, Harvard, and Neuromorphic architectures. The Von Neumann architecture is the most common type of computer architecture, and it is used in most personal computers, laptops, and servers. The Harvard architecture is a variation of the Von Neumann architecture, and it is used in some embedded systems and digital signal processors. The Neuromorphic architecture is a new type of computer architecture that is inspired by the human brain. It is designed to be more efficient than traditional computer architectures at processing large amounts of data. The Von Neumann architecture is expected to continue to be the dominant architecture for deep learning chips in the coming years. However, the Harvard and Neuromorphic architectures are expected to gain market share as they become more mature. The Harvard architecture is expected to be particularly well-suited for applications that require high performance and low power consumption. The market growth is attributed to the increasing adoption of deep learning algorithms in various applications, such as image recognition, natural language processing, and speech recognition.
Deep Learning Chip Market Application Insights
The Deep Learning Chip Market is segmented based on Application into Computer Vision, Natural Language Processing, Speech Recognition, and Predictive Analytics. The Computer Vision segment is anticipated to dominate the Deep Learning Chip Market owing to its growing applications in sectors like retail, healthcare, and manufacturing. Its market size is estimated to reach USD 26.4 billion by 2028, exhibiting a CAGR of 29.1% during the forecast period. The Natural Language Processing segment is projected to expand significantly, driven by the rising adoption of AI-powered chatbots and virtual assistants. Speech Recognition is another prominent segment, fueled by the increasing use of voice-based interfaces in various devices and applications, with a projected market size of USD 10.2 billion by 2028. Predictive Analytics is anticipated to witness substantial growth due to its applications in areas such as fraud detection, risk management, and demand forecasting, reaching an estimated market size of USD 12.1 billion by 2028.
Deep Learning Chip Market Form Factor Insights
The Deep Learning Chip Market is segmented by form factor into standalone, embedded, and accelerator card. The standalone segment is expected to hold the largest market share in 2023, accounting for over 50% of the global market revenue. This is due to the increasing demand for standalone deep learning chips for use in high-performance computing applications such as artificial intelligence (AI) and machine learning (ML). The embedded segment is expected to grow at the highest CAGR during the forecast period, as embedded deep learning chips are becoming increasingly popular for use in edge devices such as smartphones and IoT devices. The accelerator card segment is expected to account for a significant share of the market by 2032, as accelerator cards provide a cost-effective way to add deep learning capabilities to existing systems.
Deep Learning Chip Market Power Consumption Insights
The Deep Learning Chip Market segmentation by Power Consumption can be divided into Low Power (25W), Medium Power (25-100W), and High Power (>100W). The Low Power segment is expected to grow at a CAGR of 25% during the forecast period, due to the increasing demand for low-power devices such as smartphones and tablets. The Medium Power segment is expected to grow at a CAGR of 30%, due to the increasing demand for deep learning in automotive and industrial applications. The High Power segment is expected to grow at a CAGR of 40%, due to the increasing demand for deep learning in cloud computing and data center applications.
Deep Learning Chip Market Regional Insights
The Deep Learning Chip Market is segmented regionally into North America, Europe, Asia-Pacific, South America, and the Middle East and Africa. North America is expected to hold the largest market share in 2023, owing to the presence of major technology companies and early adoption of AI and deep learning technologies. Europe is expected to follow North America, with a significant market share due to government initiatives and investments in AI research. The Asia-Pacific region is anticipated to witness the fastest growth over the forecast period, driven by the increasing adoption of deep learning in various industries and the presence of a large population base. South America and the Middle East and Africa are expected to have a relatively smaller market share, but they are projected to grow at a steady pace during the forecast period.
Source Primary Research, Secondary Research, MRFR Database and Analyst Review
Deep Learning Chip Market Key Players And Competitive Insights
Major players in Deep Learning Chip Market strive to gain a competitive edge through strategic collaborations, acquisitions, and innovative product launches. Leading Deep Learning Chip Market players prioritize research and development to enhance their offerings and cater to evolving customer demands. The Deep Learning Chip Market development landscape is characterized by continuous innovation and the emergence of new technologies.NVIDIA is a leading player in the Deep Learning Chip Market, renowned for its high-performance graphics processing units (GPUs) optimized for deep learning applications. The company's focus on artificial intelligence (AI) and machine learning (ML) has positioned it as a key player in the market. NVIDIA's deep learning chips are widely adopted in various industries, including data centers, cloud computing, and autonomous vehicles. The company's strong brand recognition, extensive distribution network, and comprehensive software ecosystem contribute to its competitive advantage. Intel, another prominent player in the Deep Learning Chip Market, offers a range of deep learning chips designed for diverse applications. The company's focus on providing end-to-end solutions, from hardware to software, has enabled it to gain a significant market share. Intel's deep learning chips are known for their performance, energy efficiency, and scalability, making them suitable for a wide range of AI and ML applications. The company's strong presence in the data center market, along with its strategic partnerships with leading cloud providers, further strengthens its competitive position.
Key Companies in the Deep Learning Chip Market Include
- Intel
- Huawei Technologies
- AMD
- Google LLC
- NVIDIA
- Qualcomm
- Horizon Robotics
- Graphcore
- Cadance
- Microsoft
- Samsung Electronics
- Micron Technology
- IBM
- Xilinx
Deep Learning Chip Market Developments
The Deep Learning Chip Market is projected to reach USD 43.4 billion by 2032, exhibiting a CAGR of 30.98% from 2024 to 2032. The market growth is attributed to the increasing adoption of deep learning algorithms in various applications, such as image recognition, natural language processing, and predictive analytics. Additionally, the growing demand for artificial intelligence (AI) and machine learning (ML) solutions in industries such as healthcare, manufacturing, and retail is driving the market growth. Recent developments in the market include the launch of new deep learning chips with enhanced performance and efficiency, as well as the formation of partnerships between chip manufacturers and AI software providers to offer integrated solutions. Furthermore, government initiatives and investments in AI research and development are expected to provide significant growth opportunities for the deep learning chip market in the coming years.
Deep Learning Chip Market Segmentation Insights
Deep Learning Chip Market Chip Type Outlook
- GPU
- FPGA
- ASIC
Deep Learning Chip Market Architecture Outlook
- Von Neumann
- Harvard
- Neuromorphic
Deep Learning Chip Market Application Outlook
- Computer Vision
- Natural Language Processing
- Speech Recognition
- Predictive Analytics
Deep Learning Chip Market Form Factor Outlook
- Standalone
- Embedded
- Accelerator Card
Deep Learning Chip Market Power Consumption Outlook
- Low Power (25W)
- Medium Power (25-100W)
- High Power (>100W)
Deep Learning Chip Market Regional Outlook
- North America
- Europe
- South America
- Asia Pacific
- Middle East and Africa
Market Size & Forecast
| Report Attribute/Metric | Details |
| Market Size 2023 | 6.8 (USD Billion) |
| Market Size 2024 | 12.4 (USD Billion) |
| Market Size 2032 | 74.5 (USD Billion) |
| Compound Annual Growth Rate (CAGR) | 23% (2024 - 2032) |
| Report Coverage | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| Base Year | 2023 |
| Market Forecast Period | 2024 - 2032 |
| Historical Data | 2019 - 2023 |
| Market Forecast Units | USD Billion |
| Key Companies Profiled | Cerebras, Intel, Huawei Technologies, AMD, Google LLC, NVIDIA, Qualcomm, Horizon Robotics, Graphcore, Cadance, Microsoft, Samsung Electronics, Micron Technology, IBM, Xilinx |
| Segments Covered | Chip Type, Architecture, Application, Form Factor, Power Consumption, Regional |
| Key Market Opportunities | Growth in cloud computing increasing adoption in automotive healthcare and retail sectors rising demand for AIpowered devices advancements in deep learning algorithms and government initiatives |
| Key Market Dynamics | Increasing demand for AI Convergence of DL and IoT Growing adoption of cloud computing Government initiatives and support Advancements in DL algorithms |
| Countries Covered | North America, Europe, APAC, South America, MEA |
Major Players
Deep Learning Chip Market Segmentation
Deep Learning Chip Market By Chip Type (USD Billion, 2019-2032)
GPU
FPGA
ASIC
Deep Learning Chip Market By Architecture (USD Billion, 2019-2032)
Von Neumann
Harvard
Neuromorphic
Deep Learning Chip Market By Application (USD Billion, 2019-2032)
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
Deep Learning Chip Market By Form Factor (USD Billion, 2019-2032)
Standalone
Embedded
Accelerator Card
Deep Learning Chip Market By Power Consumption (USD Billion, 2019-2032)
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
Deep Learning Chip Market By Regional (USD Billion, 2019-2032)
North America
Europe
South America
Asia Pacific
Middle East and Africa
Deep Learning Chip Market Regional Outlook (USD Billion, 2019-2032)
North America Outlook (USD Billion, 2019-2032)
North America Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
North America Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
North America Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
North America Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
North America Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
North America Deep Learning Chip Market by Regional Type
US
Canada
US Outlook (USD Billion, 2019-2032)
US Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
US Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
US Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
US Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
US Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
CANADA Outlook (USD Billion, 2019-2032)
CANADA Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
CANADA Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
CANADA Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
CANADA Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
CANADA Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
Europe Outlook (USD Billion, 2019-2032)
Europe Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
Europe Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
Europe Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
Europe Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
Europe Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
Europe Deep Learning Chip Market by Regional Type
Germany
UK
France
Russia
Italy
Spain
Rest of Europe
GERMANY Outlook (USD Billion, 2019-2032)
GERMANY Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
GERMANY Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
GERMANY Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
GERMANY Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
GERMANY Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
UK Outlook (USD Billion, 2019-2032)
UK Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
UK Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
UK Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
UK Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
UK Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
FRANCE Outlook (USD Billion, 2019-2032)
FRANCE Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
FRANCE Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
FRANCE Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
FRANCE Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
FRANCE Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
RUSSIA Outlook (USD Billion, 2019-2032)
RUSSIA Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
RUSSIA Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
RUSSIA Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
RUSSIA Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
RUSSIA Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
ITALY Outlook (USD Billion, 2019-2032)
ITALY Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
ITALY Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
ITALY Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
ITALY Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
ITALY Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
SPAIN Outlook (USD Billion, 2019-2032)
SPAIN Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
SPAIN Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
SPAIN Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
SPAIN Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
SPAIN Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
REST OF EUROPE Outlook (USD Billion, 2019-2032)
REST OF EUROPE Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
REST OF EUROPE Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
REST OF EUROPE Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
REST OF EUROPE Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
REST OF EUROPE Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
APAC Outlook (USD Billion, 2019-2032)
APAC Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
APAC Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
APAC Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
APAC Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
APAC Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
APAC Deep Learning Chip Market by Regional Type
China
India
Japan
South Korea
Malaysia
Thailand
Indonesia
Rest of APAC
CHINA Outlook (USD Billion, 2019-2032)
CHINA Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
CHINA Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
CHINA Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
CHINA Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
CHINA Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
INDIA Outlook (USD Billion, 2019-2032)
INDIA Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
INDIA Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
INDIA Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
INDIA Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
INDIA Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
JAPAN Outlook (USD Billion, 2019-2032)
JAPAN Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
JAPAN Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
JAPAN Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
JAPAN Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
JAPAN Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
SOUTH KOREA Outlook (USD Billion, 2019-2032)
SOUTH KOREA Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
SOUTH KOREA Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
SOUTH KOREA Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
SOUTH KOREA Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
SOUTH KOREA Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
MALAYSIA Outlook (USD Billion, 2019-2032)
MALAYSIA Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
MALAYSIA Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
MALAYSIA Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
MALAYSIA Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
MALAYSIA Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
THAILAND Outlook (USD Billion, 2019-2032)
THAILAND Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
THAILAND Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
THAILAND Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
THAILAND Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
THAILAND Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
INDONESIA Outlook (USD Billion, 2019-2032)
INDONESIA Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
INDONESIA Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
INDONESIA Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
INDONESIA Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
INDONESIA Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
REST OF APAC Outlook (USD Billion, 2019-2032)
REST OF APAC Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
REST OF APAC Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
REST OF APAC Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
REST OF APAC Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
REST OF APAC Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
South America Outlook (USD Billion, 2019-2032)
South America Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
South America Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
South America Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
South America Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
South America Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
South America Deep Learning Chip Market by Regional Type
Brazil
Mexico
Argentina
Rest of South America
BRAZIL Outlook (USD Billion, 2019-2032)
BRAZIL Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
BRAZIL Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
BRAZIL Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
BRAZIL Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
BRAZIL Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
MEXICO Outlook (USD Billion, 2019-2032)
MEXICO Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
MEXICO Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
MEXICO Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
MEXICO Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
MEXICO Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
ARGENTINA Outlook (USD Billion, 2019-2032)
ARGENTINA Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
ARGENTINA Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
ARGENTINA Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
ARGENTINA Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
ARGENTINA Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
REST OF SOUTH AMERICA Outlook (USD Billion, 2019-2032)
REST OF SOUTH AMERICA Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
REST OF SOUTH AMERICA Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
REST OF SOUTH AMERICA Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
REST OF SOUTH AMERICA Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
REST OF SOUTH AMERICA Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
MEA Outlook (USD Billion, 2019-2032)
MEA Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
MEA Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
MEA Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
MEA Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
MEA Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
MEA Deep Learning Chip Market by Regional Type
GCC Countries
South Africa
Rest of MEA
GCC COUNTRIES Outlook (USD Billion, 2019-2032)
GCC COUNTRIES Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
GCC COUNTRIES Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
GCC COUNTRIES Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
GCC COUNTRIES Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
GCC COUNTRIES Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
SOUTH AFRICA Outlook (USD Billion, 2019-2032)
SOUTH AFRICA Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
SOUTH AFRICA Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
SOUTH AFRICA Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
SOUTH AFRICA Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
SOUTH AFRICA Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
REST OF MEA Outlook (USD Billion, 2019-2032)
REST OF MEA Deep Learning Chip Market by Chip Type
GPU
FPGA
ASIC
REST OF MEA Deep Learning Chip Market by Architecture Type
Von Neumann
Harvard
Neuromorphic
REST OF MEA Deep Learning Chip Market by Application Type
Computer Vision
Natural Language Processing
Speech Recognition
Predictive Analytics
REST OF MEA Deep Learning Chip Market by Form Factor Type
Standalone
Embedded
Accelerator Card
REST OF MEA Deep Learning Chip Market by Power Consumption Type
Low Power (25W)
Medium Power (25-100W)
High Power (>100W)
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