Global Deep Learning Market Size, Share, Growth, Trends, Company Analysis and Forecast 2019-2026

Published Date : Aug 2019 | No. of Pages : 140 Pages | Category : Machinery and Equipment

The deep learning market size was valued US$ 2.5 Bn in 2017 and is expected to reach US$ 21.1 Bn by 2026, at a CAGR of 30.58 % during forecast period 2019 to 2026. Deep learning is a part of machine learning which deals with algorithms similar to the functioning of the neural system in the brain. The language has three major forms of architecture, namely supervised, semi-supervised, and unsupervised. It has been applied in board games, drug design, bioinformatics, and material design.

Major factors that are contributing to the largest market share include parallelization, high computing power, and rapid improvements in fast information storage capacity in healthcare and automotive industries. Increase in need for the small and large enterprises to analyze and understand visual contents is projected to boost the growth of deep learning market. Advanced technology like graphics processing unit is highly accepted by the scientific disciplines like data science and deep learning. Deep learning neural networks are used in the associations to pull out valuable insights from extensive amounts of data to improve customer experience and provide innovative products, this may give enlargement to the market growth. This technology is having importance among the researchers and key players because of improving artificial intelligence capabilities in computer vision areas, natural language processing, and image & speech recognition. Asia Pacific is the most noticeable region for deep learning market and it is growing at a faster rate due to higher spending on cognitive computing technologies and artificial intelligence.

The report analyzes and forecasts the deep learning market at global and regional levels. The market has been forecast based on volume (Tons) and value (US$ Mn) from 2019 to 2026. The study includes drivers and restraints of the global market. It covers the impact of these drivers and restraints on the demand during the forecast period. The report also highlights opportunities in the market at the global level.

The report comprises a detailed value chain analysis, which provides a comprehensive view of the global deep learning market. The Porter’s Five Forces model has also been included to help understand the competitive landscape of the market. The study encompasses market attractiveness analysis, wherein various applications have been benchmarked based on their market size, growth rate, and general attractiveness.

The study provides a decisive view of the deep learning market by segmenting it in terms of form and application. The segment has been analyzed based on the present and future trends. Regional segmentation includes the current and projected demand in North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.

The report provides size (in terms of volume and value) of deep learning market for the base year 2018 and the forecast between 2019 and 2026. Market numbers have been estimated based on form and application. Market size and forecast for each application segment have been provided for the global and regional market.

Scope of Report:

Global Deep Learning Market by Component:

• Hardware
• Software

Global Deep Learning Market by Application:

• Speech Recognition
• Image Recognition
• Data Mining
• Drug Discovery
• Driver Assistance
• Others

Global Deep Learning Market by Architecture Industry:

• RNN
• CNN
• DBN
• DSN
• GRU

Global Deep Learning Market by End Use Industry:

• Automotive
• Healthcare
• Media & Entertainment
• BFSI
• Other

Global Deep Learning Market by Geography:

• North America
• Asia Pacific
• Europe
• Latin America
• Middle East and Africa

Key Players Operating Market Include:

• Advanced Micro Devices, Inc.
• Arm Ltd.
• Baidu Inc.
• Clairifai Inc.
• Enlitic
• General Vision Inc.
• Google Inc.
• Hewlett Packard
• IBM Corporation
• Intel Corporation
• Microsoft Corporation
• Nvidia Corporation
• Qualcomm Technologies Inc.
• Sensory Inc.
• Skymind
• Alphabet Inc.
• Micron Technology Inc.
• Amazon Web Services

Reasons to Buy the Report

The report will enrich established firms as well as new entrants/smaller firms to gauge the pulse of the market, which, in turn, would help them garner a greater share of the market. Firms purchasing the report could use one or any combination of the below-mentioned strategies to strengthen their position in the market.

This report provides insights into the following pointers:

  • Market Penetration: Comprehensive information on the product portfolios of the top players in the global deep learning market. The report analyzes this market by product, functionality, formulation, and region
  • Product Enhancement/Innovation: Detailed insights on the upcoming trends and product launches in the global deep learning market
  • Market Development: Comprehensive information on the lucrative emerging markets by product, functionality, formulation, and region
  • Market Diversification: Exhaustive information about new products or product enhancements, growing geographies, recent developments, and investments in the global deep learning market
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, product offerings, and capabilities of leading players in the global deep learning market

Research Methodology:

In-depth interviews and discussions were conducted with several key market participants and opinion leaders to compile the research report.

Primary research represents a bulk of research efforts, supplemented by extensive secondary research. Annual reports, press releases, and relevant documents of key players operating in various application areas have been reviewed for competition analysis and market understanding.

Secondary research also includes recent trends, technical writing, Internet sources, and statistical data from government websites, trade associations, and agencies. These have proved to be reliable, effective, and successful approaches for obtaining precise market data, capturing market participants’ insights, and recognizing business opportunities.

The study objectives of this report are:

  • To analyze and study the global deep learning capacity, production, value, consumption, status (2014-2018) and forecast (2019-2026);
  • Focuses on the key deep learning manufacturers, to study the capacity, production, value, market share and development plans in future.
  • Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
  • To define, describe and forecast the market by type, application and region.
  • To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.
  • To identify significant trends and factors driving or inhibiting the market growth.
  • To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
  • To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
  • To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market
  • To strategically profile the key players and comprehensively analyze their growth strategies.

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