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Deep Learning Market in the US 2017-2021

Published By :

Technavio

Published Date : Aug 2017

Category :

Robots

No. of Pages : 75 Pages

About Deep Learning

Deep learning is an advanced algorithm that possesses the ability to study large chunks of relevant data to derive meaningful patterns that assist cognitive decision- making. This technology is preferred over machine learning as it enables the user to analyze large data sets. Deep learning algorithms can assess complicated data sets using matrix multiplication. Although machine learning and deep learning algorithms are overlapping subsets of artificial intelligence (AI), the difference lies in the size of input data.

Technavios analysts forecast the deep learning market in the US to grow at a CAGR of 57.29% during the period 2017-2021.

Covered in this report
The report covers the present scenario and the growth prospects of the deep learning market in the US for 2017-2021. To calculate the market size, the report considers technology/software installations and related services carried out for deep learning algorithms in process and discrete industries.

Technavio's report, Deep Learning Market in the US 2017-2021, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors
Amazon Web Services
Google
IBM
Intel

Other prominent vendors
Microsoft
NVIDIA
OMRON
Qualcomm Technologies

Market driver
Enabling condition monitoring in industries
For a full, detailed list, view our report

Market challenge
Technical difficulties encountered
For a full, detailed list, view our report

Market trend
Advances in deep learning
For a full, detailed list, view our report

Key questions answered in this report
What will the market size be in 2020 and what will the growth rate be?
What are the key market trends?
What is driving this market?
What are the challenges to market growth?
Who are the key vendors in this market space?
What are the market opportunities and threats faced by the key vendors?
What are the strengths and weaknesses of the key vendors?

You can request one free hour of our analysts time when you purchase this market report. Details are provided within the report.
Table of Contents
PART 01: Executive summary

PART 02: Scope of the report

PART 03: Research Methodology

PART 04: Introduction

Market outline

PART 05: Market landscape

Market overview
Market size and forecast
Five forces analysis

PART 06: Market segmentation by application

Market overview
Deep learning market in the US by image recognition
Deep learning market in the US by signal recognition
Deep learning market in the US by data mining

PART 07: Market segmentation by end-user

Market overview
Deep learning market in the US in process industries
Deep learning market in the US in discrete industries

PART 08: Decision framework

PART 09: Drivers and challenges

Market drivers
Market challenges

PART 10: Market trends

Advances in deep learning
Reinforcement learning
Reliance on meta learning
Combating security threats using AI

PART 11: Vendor landscape

Competition overview
Other prominent vendors

PART 12: Key vendor analysis

Amazon Web Services
Google
IBM
Intel
Key takeaways

PART 13: Appendix

List of abbreviations
List of Exhibits

Exhibit 01: Benefits of deep learning in industrial process/manufacturing

Exhibit 02: Applications of deep learning in industrial process/manufacturing

Exhibit 03: Practical applications of deep learning in industries

Exhibit 04: Segmentation of deep learning market in the US

Exhibit 05: Key stakeholders in the market

Exhibit 06: Cost-benefit analysis

Exhibit 07: Deep learning market in the US 2016-2021 ($ millions)

Exhibit 08: Five forces analysis

Exhibit 09: Deep learning market in the US by application 2016 and 2021 (% revenue share)

Exhibit 10: Incremental growth contribution by individual applications (revenue and % share)

Exhibit 11: Deep learning market in the US by image recognition 2016-2021 ($ millions)

Exhibit 12: Blockchain diagram explaining image recognition using deep learning

Exhibit 13: Applications of image recognition in an industrial set-up

Exhibit 14: Deep learning market in the US by signal recognition 2016-2021 ($ millions)

Exhibit 15: Applications included under signal recognition

Exhibit 16: Deep learning market in the US by data mining 2016-2021 ($ millions)

Exhibit 17: Applications included under data mining

Exhibit 18: Benefits of data mining in industries

Exhibit 19: Deep learning market in the US by end-user

Exhibit 20: Deep learning market in the US by end-user 2016 and 2021 (% revenue share)

Exhibit 21: Incremental growth contribution by end-user (revenue and % share)

Exhibit 22: Deep learning market in the US in process industries 2016-2021 ($ millions)

Exhibit 23: Applications of deep learning in oil and gas industry

Exhibit 24: Deep learning market in the US in discrete industries 2016-2021 ($ millions)

Exhibit 25: Process improvement through implementation of deep learning technology

Exhibit 26: Condition monitoring and predictive analytical ability of deep learning technology

Exhibit 27: US based start-ups offering AI technology

Exhibit 28: Impact of competitors on deep learning market in US

Exhibit 29: Other prominent vendors

Exhibit 30: List of start-ups in deep learning market in the US

Exhibit 31: Research areas under Google Brain

Exhibit 32: Critical areas of business growth

Exhibit 33: Deep learning frameworks incorporated

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