Global Deep Learning Neural Networks (DNNs) Market is expected to grow at a healthy CAGR of 43.2% in the forecast period of 2019 to 2026. The years considered for study are as mentioned below.
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Global deep learning neural networks (DDNs) market a highly consolidated market, which includes specific number of key players as well as local players. The market has witnessed increased various strategic developments owing to favourable market scenario. The market will have a prominent growth in upcoming years due to growing demand of digitalized promotion in order to attract target customers in the attractive manner. In additionally; increasing adoption of deep learning across worldwide is another factor fuelling the growth of the market in the coming future.
The market has witness developments in terms of merger and acquisitions, partnerships or product launches that expand the product portfolio for the customers which further meets the rising demand of innovative technology which further help the companies to sustain their position in the market. For instance, In June 2019, Microsoft Azure partnered with the Oracle Cloud Interconnect. The partnership will provide customer access to run mission-critical enterprise workloads across Oracle Cloud and Microsoft Azure. Similarly, In May, Qualcomm Technologies, Inc. formed partnership with Baidu, Inc. The partnership is formed for the application of Baidu Paddle to drive the conversion with the help of Qualcomm Artificial Intelligence. The partnership will be focusing on the expansion of the AI ecosystem .The global developers can easily launch AI features on Snapdragon devices used in mobile platforms.
From these we can conclude that these strategic decisions will help the market players to improve their revenue share for the global deep learning neural networks (DNNs) market.
IBM is dominated player in the global deep learning neural networks (DDNs) market. The other key players existing in the market includes ALYUDA RESEARCH, LLC, ALPHABET INC. (google), IBM, Micron Technologies, Inc., Neural Technologies Limited, NEURODIMENSION, INC., NEURALWARE, NVIDIA CORPORATION, SKYMIND INC, SAMSUNG, Qualcomm Technologies, Inc., Intel Corporation, Amazon Web Services, Inc., Microsoft, GMDH LLC., Sensory Inc., Ward Systems Group, Inc., Xilinx Inc., Starmind and among others.
IBM:
IBM headquartered in New York, U.S. which was founded on 1911. The Company performs its business from five segments such as Cognitive Solutions, Global Business Services (GBS), Technology Services & Cloud Platforms, Systems and Global Financing. The products offered by the company are IBM Watson Studio, IBM Watson Knowledge Catalog, IBM Watson Assistant, IBM Watson Discovery, IBM Watson IoT Platform, IBM Watson Speech to Text, IBM Watson Text to Speech, IBM Watson Language Translator, IBM Watson Natural Language Classifier, IBM Watson Natural Language Understanding, IBM Watson Visual Recognition, IBM Watson Tone Analyser, Deep learning, IBM Watson Discovery for Salesforce, IBM Watson Open Scale.
- In February 2019, IBM launched drive next-generation AI hardware to develop nanotechnology, nucleus of a new ecosystem of research and commercial partners will be the IBM Research AI Hardware Centre. The collaboration will help to accelerate the development of AI-optimized hardware innovations.
The company has wide global presence across the globe such as Europe, America, Asia-Pacific, Middle East and Africa. In addition to it.
The company also generates its revenue from the various subsidiary companies such as IBM India (India), IBM Research (U.S.), Algorithmics Inc. (Canada), IBM Canada Limited (Canada), IBM Israel (Israel) among others.
Alphabet Inc. (Google):
Alphabet Inc. headquartered in California, U.S. which was founded on 1998 The Company performs its business in two segments such as Google, Bets. The products offered by the company are artificial intelligence and machine learning products. In May 2019, Google has announced that its own chip which will accelerate Deep Learning training and inference, known as the TensorFlow Processing Unit (TPU), this will doubles down on NVIDIA GPUs for inference. To predict properties of new input data AI inference processing is used which is a trained neural network. This helps Google customers to express a preference for a cost-effective GPU for training and inference.
- In March 2019, Google and Udacity has launched free course in deep learning, this course is designed so that it could be accessible to developers without having a maths background. This will help in to build state-of-the-art AI applications as fast as possible, which do not require a background in math.
The company has strong distributions networks across the globe such as, Middle East and Africa, Asia-Pacific, Americas and Europe
The company also generates its revenue from its subsidiaries company which includes Google (U.S.), Verily (U.S.), Waymo (U.S.), DeepMind (U.K).
NVIDIA CORPORATION
NVIDIA CORPORATION has headquartered in California U.S. and was founded on 1993. The company performs its business through two segments such as GPU and Tegra Processor. The GPU segment serves the followings products such as GeForce for PC gaming and mainstream PCs; GeForce NOW for cloud-based game-streaming service; Quadro for designing professionals working in computer-aided design, video editing, special effects, and other creative applications; Tesla for artificial intelligence (AI) utilizing deep learning, accelerated computing, and general purpose computing; GRID, which provides power of NVIDIA graphics through the cloud and datacenters; DGX for AI scientists, researchers, and developers; and cryptocurrency-specific graphics processing units. The Tegra Processor segment provides processors that are primarily designed to enable branded platforms - DRIVE and SHIELD; DRIVE AGX automotive computers and software stacks, which offer self-driving capabilities; Clara AGX for intelligent medical instruments; SHIELD devices and services designed for mobile-cloud in home entertainment, AI, and gaming applications; and Jetson AGX, an AI computing platform for robotics and other embedded use.
- In April 2019, Speedgate is World’s First Sport Generated by Artificial Intelligence, AKQA has developed neural network and a deep convolutional generative adversarial network for over 400 sports to create a new and original sport. Speedgate are used in sports such as Soccer, Rugby, and hockey and many more. Speedgate are designed for enjoyment, inclusivity, and sportsmanship.
The company has strong distributions networks across the globe such as U.S., Asia-Pacific and Europe
The company also generates in revenue from its subsidiaries company which includes PGI Compilers & Tools (U.S.), NVIDIA Advanced Rendering Center (Germany), Icera (U.K), PortalPlayer (U.K) and others.
