Deep learning technology is driving the evolution of artificial intelligence (AI) and has become one of the hottest topics of discussion within the technology world and beyond. Given the rate at which deep learning is progressing, some industry observers are predicting it will bring about a doomsday scenario, while others strive for a time when the technology can transform business processes and create new business models through scalable, more efficient automation and predictive capabilities. The current market climate is ripe for innovation in hardware in general, and chipsets more specifically.In the industry, NVIDIA profits most in 2016 and recent years, while Intel and IBM ranked 2 and 3.The market share of them is 26.72%, 20.57% and 12.56% in 2016.The gap of market share is keep on enlarged due to different strategy.
LPI (LP Information)’ newest research report, the “Deep Learning Chipset Industry Forecast” looks at past sales and reviews total world Deep Learning Chipset sales in 2022, providing a comprehensive analysis by region and market sector of projected Deep Learning Chipset sales for 2023 through 2029. With Deep Learning Chipset sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Deep Learning Chipset industry.
This Insight Report provides a comprehensive analysis of the global Deep Learning Chipset landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Deep Learning Chipset portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Deep Learning Chipset market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Deep Learning Chipset and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Deep Learning Chipset.
The global Deep Learning Chipset market size is projected to grow from US$ 3158.7 million in 2022 to US$ 30860 million in 2029; it is expected to grow at a CAGR of 30860 from 2023 to 2029.
NVIDIA, Intel and IBM are the leaders of the Deep Learning Chipset industry, which take about 50% market share. United States is the major region of the global market, which takes about 70% market share.
This report presents a comprehensive overview, market shares, and growth opportunities of Deep Learning Chipset market by product type, application, key manufacturers and key regions and countries.
Top Manufactures in Global Deep Learning Chipset Includes:
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Graphcore
TeraDeep
Wave Computing
BrainChip
Market Segment by Type, covers:
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Market Segment by Applications, can be divided into:
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
Key Questions Addressed in this Report
What is the 10-year outlook for the global Deep Learning Chipset market?
What factors are driving Deep Learning Chipset market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do Deep Learning Chipset market opportunities vary by end market size?
How does Deep Learning Chipset break out type, application?
What are the influences of COVID-19 and Russia-Ukraine war?
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