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Deep Learning Market by Offering, Application, End-User Industry And Geography - Global Forecast to 2023

Deep Learning Market: Global Forecast until 2023

  • March 2018
  • 212 pages
  • ID: 4405153
In this report:
As per a white paper (The New Frontier for the Pharmaceutical and Life Sciences Industry: Real Big Value from Big Data) published by Tata Consultancy Services (Mumbai) in 2014, the big data analytics market is expected to grow at a CAGR of ##% between 2009 and 2022.
The deep learning for the retail end-user industry is expected to reach USD ##,##.## million by 2023, at a CAGR of ##.##% between 2018 and 2023.


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Deep learning market forecasted to grow at a Compound annual growth rate of 41.70 percent during forecast period

According to the new market research report on deep learning, this sector is anticipated to be worth ~$3.2B in 2018 and is likely to reach ~$18.2B by 2023, at a compound annual growth rate (CAGR) of 41.70 percent from 2018 to 2023. The increase of the deep learning market can be attributed to improving computing power and declining hardware cost. Nevertheless, the lack of technical expertise and absence of standards and protocols, and growing complexity in hardware due to complex algorithm used in deep learning technology are selecting the rise of the deep learning market.

Market for services to grow at topmost cagr from 2018 to 2023

The sector for services is anticipated to grow at the highest compound annual growth rate (CAGR) from 2018 to 2023.Deep learning technology is highly complex in nature requiring the implementation of sophisticated algorithms.

Deep learning systems need installation; training; and support and maintenance services.Installation services allow the software to be integrated with the analytics side to enable data retrieval and generate desired result through computation.

The use of computer systems for DL/AI further increases the amount of work engaged in installation.

Processor held most important market size in 2017

In terms of hardware, processor held the biggest size of the deep learning market in 2017.Corporations in industries including healthcare and finance are investing in machine learning infrastructure.

High parallel processing capabilities and improved computing power have resulted in the high adoption of GPUs in different DL applications.

Deep learning market for manufacturing industry to witness more considerable increase between 2018 and 2023

The industry for the manufacturing market is anticipated to witness the highest increase during the outlook period. Deep learning technology is used in industrial robots, machine vision systems, and others to enhance the plan and product quality, minimize cycle time, and growth the efficiency of the manufacturing process as a whole.

Deep learning market in Asia-Pacific forecasted to grow at topmost cagr

This market report includes the deep learning market in North America (NA), EU, Asia-Pac, and RoW.Increase in the adoption of deep learning technology in Asia-Pacific could be attributed to the rising applications of deep learning in media & advertising, finance, and retail markets, among others, in technologically advancing countries including India, China (CN), and Japan (JP).

Increasing e-commerce, online streaming, and growing internet penetration have resulted in the increase of marketing markets. In the security vertical, with rising incidents of cyberattacks and a increasing cyber-war in the territory, institutions and governments are focusing on robust defense infrastructure.

Breakdown of profiles of primary members taking part:

• By Company category: Tier 1 = 55.0 percent, Tier 2 = 35.0 percent, and Tier 3 = 10.0 percent

• By Description: C-suite executives = 55.0 percent, Directors = 30.0 percent, and Others = 15.0 percent

• By Area: North America continent = 60.0 percent, Europe (EU) = 20.0 percent, Asia-Pac = 15.0 percent, and RoW = 5.0 percent

Firms that are profiled in this business report are NVIDIA, Intel, Xilinx, Samsung Electronics, Micron Technology, Qualcomm, IBM, Google, Microsoft, and AWS. Some of the top start-ups included in this industry report are Graphcore, Mythic, Adapteva, and Koniku.

Segment Research

The analysis depicts several offerings combined with deep learning and related developments across industry verticals and localities.It aims at evaluating the size and increase potential of this market across segments including offerings (hardware, software, and services), applications, end-user sectors, and geographies.

Moreover, the market research includes a detailed competitive analysis of the top players in the sector, together with their company descriptions, recent evolutions, and key industries strategies.

Reasons to Buy the Report

• The report includes the industry statistics pertaining to different segments, together with their respective revenue.

• The report details the main drivers, market restraints, opportunities, and alternatives pertaining to the deep learning market.

• The report offers figures of segmentation, review, and estimate for the deep learning market by offering, application, end-user sector, and area to give an global view of the deep learning market.

• The report offers an exhaustive competitive analysis containing top players and their ranking.

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