Deep Learning Chipset market is valued at USD 2.83 Billion in 2018 and expected to reach 25.6 Billion by 2025 with the CAGR of 37% over the forecast period.
Increased adoption of cloud based technology and deep learning usage in big data analytics are the factors driving the growth of the deep learning chipset market.
Deep learning chips are customized silicon chips that assimilate Ai Technology and machine learning. Deep learning and machine learning, which are the sub-sets of Artificial intelligence (AI) sub-sets, are used in carrying out AI related tasks. A single-chip processor generates lighting effects and transforms objects each time a 3D scene is redrawn. Or a graphic processing unit turns out to be very expressive and efficient when applied to computation styles needed for neural nets. This in turn fuels the growth of the market for deep learning chipsets. For Example, NVidia GPU's, which are most popular nowadays for deep learning, can do both training and inference. Some other examples are Graphcore IPU, Google TPU V3, Cerebras, etc. OpenAI has great analysis displaying the recent increase in compute required for training large networks.
Deep Learning Chipset Companies:
Global Deep Learning Chipset market Report covers prominent players are like,
NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD, Xilinx, ARM, Google, Graphcore, TeraDeep, Wave Computing, BrainChip , Others.
NVIDIA announced its First GPU-Based AI Chip That Can Boost Performance by Up To 20x
News: - 18/05/2020, Recently, NVIDIA CEO and Co-Founder Jensen Huang introduced GPU-based NVIDIA A100. Huang made the announcement from the kitchen of his California home along with discussions on important new software technologies such as NVIDIA Jarvis and recent Mellanox acquisition. NVIDIA A100 is believed to be the first GPU based on the NVIDIA Ampere architecture with 54 billion transistors. The NVIDIA A100 Tensor Core GPU is said to deliver unprecedented acceleration at every scale for AI, data analytics, including high-performance computing (HPC) to tackle highly complex processing challenges.
The regions covered in this global Deep Learning Chipset market report are North America, Europe, Asia-Pacific and Rest of the World. On the basis of country level market of Deep Learning Chipset is sub divided into U.S., Mexico, Canada, UK, France, Germany, Italy, China, Japan, India, South East Asia, GCC, Africa, etc.
Global Deep Learning Chipset market Segmentation –
By Product Type: Graphics Processing Units (GPUs), Central Processing Units (CPUs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), Others
By Application: Consumer, Aerospace, Military and Defense, Automotive, Industrial, Medical, Others
Increased adoption of cloud based technology and deep learning usage in big data analytics are the factors driving the growth of the deep learning chipset market.
Increased adoption of cloud based technology and deep learning usage in big data analytics are the factors driving the growth of the deep learning chipset market. Cloud assumption is a strategy used by enterprises to improve the scalability of Internet-based database capabilities while reducing cost and risk. Cloud-based software and platforms help companies benefit from AI, even if they lack the expertise to build and train systems, or to manage data on their own. Deep learning technology has arrived many industries around the world and is accomplished through applications like computer vision, speech synthesis, voice recognition, machine translation, drug discovery, game play and robotics. According to Cloud Computing Statistics, 90% of companies use some type of cloud service. 80% of enterprises use Amazon Web Services as their primary cloud platform. Also 77% of enterprises have at least one application or a portion of it in the cloud. With machine learning technologies, computers can be taught to analyze data, identify hidden patterns, make classifications and predict future outcomes. Deep learning is a subset of machine learning based on a conceptual model of the human brain called neural networks. However, low awareness of chipset besides CPU is likely to hamper the growth of the deep learning chipset market during the forecast period. Furthermore, Popularity of Internet of Things (IoT) and increase in demand for automated devices are anticipated to provide lucrative growth opportunities for the key players in the deep learning chipset market.
North America is dominating the Deep Learning Chipset Market
North America is expected to dominate the growth of Deep Learning Chipset Market, due to increase in demand for smart homes and Smart cities, rise in investments in AI startups, emergence of quantum computing, growth in the number of AI development of smarter robots. The majority (69%) of U.S. households now own at least one smart home device, based on a new study. That translates to 83 million households and of those, 18% or 22 million homes, own more than one smart home product, according to the study by the Consumer Technology Association (CTA). Europe is second largest region for the growth of Deep Learning Chipset Market, due to increased adoption of cloud based technology.
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Global 3D Printing in Automotive Market is valued at USD 1.97 Billion in 2018 and expected to reach USD 7.22 Billion by 2025 with the CAGR of 20.37% over the forecast period.Increasing demand from the automakers to shorten their product development phase, reduce prototype costs, and improve efficiency is expected to drive the market growth.Get Sample Copy of The Activated Alumina Market Report 2020@ https://brandessenceresearch.com/requestSample/PostId/561*The sample pages of this report is immediately accessible on-demand.
** 3D Printing in Automotive Market ManufacturersKey players profiled in the report include 3D Printing in Automotive Market are,Autodesk3D Systems, IncStratasys LtdArcam ABEnvisionTEC IncExoneVoxeljet AGLocal MotorsPonoko LtdOptomec, IncScope of the Report:3D printing in automotive is an ability to create or customize the automotive parts that are perfect for one-off productions.
3D printing technology in automotive sector has potentially decreased the cost of product development as well as it also strengthens the quick prototyping in the pre-manufacturing stage.
All these major advantages of 3D printers in automotive design helps manufacturers in order to boost the efficiency, cost reduction and prototyping that have resulted to be most popular technology.
3D printing in automotive design enabled the new innovation, creativity and limitless possibilities that bring transportation landscape into a remarkable level.
According to Audi, by 3D printing it is possible to achieve prototyping lead time reductions by up to 50 % for certain parts with full-color, multi-material printing capabilities.
But do you know that a live tracker helps more than just tracking devices and collecting data?
if no, then this column will help you to reach out to detailed significance and importance of Live Vehicle Tracking.Before going into details, let us show you some real numbers of how GPS tracker is helping fleet managers in many ways.According to a research study, 1.
GPS fleet management system reduces fuel consumption by 20-25%,2.Increase vehicle utilization and productivity by 10-15% to 15-20%, 3.Cut miles driven by 5-10% and idle time by 20-25%.These Live Vehicle Tracking devices also cut the labour time by 30 minutes per day.
This collected data is different and advanced from radio and helps fleet managers in many ways.Telematics makes the vehicle safe and keeps the driver informed regarding the way, assists throughout the route in just one press, autodials emergency number if you're in an emergency, starts your EV charging at a scheduled time.
Over time vehicle telematics have developed in an advanced way to include a GPS, a sensor connection, a backup battery and a cellular data modem.
This involvement of advanced features leads to digital telematics.Live Vehicle Tracking through GPS makes an integral part of fleet telematics and is also accountable for smart and advanced fleet management.How smart fleet management systems work?
Biosimilars are approved as per the same standards of pharmaceutical quality, efficacy, safety that apply to all biological medicines.Biosimilars Companies:Eli Lily & Company, Pfizer Inc., Sandoz International GMBH, Amgen, Inc., Hospira Inc., Actavis, Inc., Biocon Ltd.,, Cipla Ltd, Teva Pharmaceutical Industries Ltd., Dr. Reddy’s Laboratories Ltd., Stada Arzneimittel Ag, Celltrion, Inc., Wockhardt Ltd, Mylan, IncHowever, biosimilars are differ from generics and are not treated as generics, as entire manufacturing process of biosimilar, right from the raw materials used in the manufacturing are different from generic products manufacturing.
Similar to generic, biosimilar are the low-cost medicine and can be used in many treatment therapies including some of the most critical diseases like cancer, inflammatory bowel disease, anemia and autoimmune disorders including multiple sclerosis, psoriasis, rheumatoid arthritis, Crohn’s and among others.Under solid legal framework, which is introduced in 2004 by European Union (EU), prepared dedicated route for the approval of biosimilars and hence in 2006, growth hormone somatropin got the first approval of EU as a biosimilar.
Whereas, on March 6, 2015, Zarxio obtained the first approval of FDA for Sandoz's Zarxio is biosimilar to Amgen's Neupogen which was originally licensed in 1991.The regions covered in this Biosimilars market report are North America, Europe, Asia-Pacific and Rest of the World.
On the basis of country level, market of biosimilar is sub divided into U.S., Mexico, Canada, U.K., France, Germany, Italy, China, Japan, India, South East Asia, GCC, Africa, etc.True North has acquired about 3 per cent of Biocon Biologics India Ltd (BBIL)News: On Jan 06, 2020, Biocon Biologics India Ltd is the wholly owned subsidiary of Biocon has announced the dilution of its share and sell its 3% share to True North for USD 100 million, by valuing the unlisted subsidiaries at around USD 3.5 billion.
Biocon is the parent company of Biocon Biologics India Ltd, company aim to list Biocon Biologics in the next few years in similar fashion to its contract research arm Syngene.Biosimilars Market Segmentation –By ProductInsulin, Recombinant human growth hormone (rhGH), Granulocyte colony-stimulating factor, Interferon, Erythropoietin, Etanercept, Monoclonal antibodies, Follitropin, Glucagon, Calcitonin, Teriparatide, Enoxaparin SodiumBy IndicationOffsite Treatment, Oncology, Chronic Disorder, Autoimmune Disease, Blood Disorders, Infectious Disease, Other DiseasesBiosimilars Market Dynamics –Increasing prevalence of chronic diseases including cancers, diabetes, rheumatoid arthritis, CVDs, autoimmune diseases, kidney failure, growth hormone deficiency, haematological diseases and infectious diseases driving the growth of biosimilar market.
For instance, as per the WHO, the number of people with diabetes rose from 108 million in 1980 to 422 million in 2014 and in 2016, an estimated 1.6 million deaths were directly caused by diabetes.
