HOME Research Insight The Key Strategies Implemented by Most of the Companies in the Deep Learning Market Include New Product Launches, Collaborations, and Acquisitions



The Key Strategies Implemented by Most of the Companies in the Deep Learning Market Include New Product Launches, Collaborations, and Acquisitions


Deep learning is a part of the machine learning technique that uses many layers of linear and non-linear information processing for supervised and unsupervised features of extraction and transformation for pattern analysis and representing data by enabling end-to-end optimization. The global deep learning market is highly competitive and comprises major software and hardware companies along with a large number of startups in the market. The players in the market have implemented different strategies to maintain their position in this market and ensure their long-term growth and profitability. The key strategies implemented by most of the companies in the deep learning market include new product launches, collaborations, and acquisitions. These strategies also help companies increase their market share, expand their geographic presence across the globe, and gain recognition in the deep learning market.

The key players in the ecosystem of the deep learning market profiled in this report are Google Inc. (U.S.), IBM Corp. (U.S.), Microsoft Corp. (U.S.), Intel Corp (U.S.), Nvidia Corporation (U.S.), Qualcomm Incorporated (U.S.), Skymind (U.S.), Baidu Inc. (China), Hewlett Packard Enterprise (U.S.), Sensory Inc. (U.S.), and General Vision Inc. (U.S.).

Google Inc. (U.S.) was an important player in the deep learning market in 2015. Google is the leading provider of the Internet search engine along with various other products and services. The company is recognized worldwide and its website is used widely because of its innovations in search and advertising. New product developments, collaborations, and acquisitions were the major strategies adopted by Google between 2013 and 2016. For instance, in 2016, Google launched virtual assistant for Allo messaging app to support the e-commerce application. The virtual assistant Google Now works on artificial intelligence technologies such as deep learning, voice recognition, and natural language processing. In 2015, Google acquired Fly Labs Inc. (U.S.), a maker of photos and video editing apps for App Store. With this acquisition, Google sought to improve its Google Photos through the incorporation of its machine learning and computer vision technology. In January 2014, Google acquired DeepMind Technologies (U.K.), an artificial intelligence startup company, for USD 600 million. DeepMind specializes in machine learning technology and developing algorithms. This acquisition would further help Google to enhance its deep learning applications.

IBM Corporation (U.S.) was one of the key players in the deep learning market in 2015. The company provides solutions for industries such as aerospace and defense, chemicals and petroleum, automotive, energy and utilities, BFSI, education, government, healthcare, life sciences, travel and transportation, media and entertainment, telecommunications, and retail. IBM offers a comprehensive set of products and solutions which include analytics, Big Data, and servers. New product developments, partnerships, acquisitions, and collaborations were the major strategies adopted by IBM Corporation in the deep learning market. For instance, in 2016, IBM launched three Power8 Linux servers to accelerate artificial intelligence, deep learning, and advanced analytics applications. The company also adopted inorganic growth strategies such as acquisitions, partnerships, and collaborations to achieve growth in the deep learning market. IBM has partnered with some of the well-known universities for cognitive computing systems research. For instance, IBM collaborated with the department of Brain & Cognitive Sciences of Massachusetts Institute of Technology (MIT) to develop the scientific field of machine vision.

Related Reports:

Deep Learning Market by Application (Image Recognition, Signal Recognition, Data Mining), Offering (Hardware (Von Neumann and Neuromorphic Chip), and Software), End-User Industry, and Geography - Global Forecasts to 2022

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