About Neural Network Software
Neural network software is used in researching, stimulating, developing, and applying artificial neural networks (ANN) to several arrays of adaptive systems such as artificial intelligence (AI) and machine learning. Neural network simulators are software applications used in simulating the behavior of artificial or biological neural networks.
Technavio’s analysts forecast the global neural network software market to grow at a CAGR of 25.59% during the period 2017-2021.
Covered in this report
The report covers the present scenario and the growth prospects of the global neural network software market for 2017-2021. To calculate the market size, the report considers the revenue generated from the sales of neural network software.
The market is divided into the following segments based on geography:
• Americas
• APAC
• EMEA
Technavio's report, Global Neural Network Software Market 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
• Hewlett Packard Enterprise Development
• IBM
• Intel
• Microsoft
• Qualcomm Technologies
Other prominent vendors
• Alyuda Research
• Deep Instinct
• Cloudera
• Cognisess
• Enlitic
• GUMGUM
• Hu:toma Artificial Intelligence
• MulticoreWare
• Neurala
• NeuroDimension
• Palisade
• Wave Computing
• Ward Systems Group
• XENON Systems
• XILINX
Market driver
• Rising demand for prediction tools
• For a full, detailed list, view our report
Market challenge
• Increasing availability of open-source neural network software
• For a full, detailed list, view our report
Market trend
• Increasing emergence of neural networks in different sectors
• For a full, detailed list, view our report
Key questions answered in this report
• What will the market size be in 2021 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 analyst’s 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: Global economic overview
• Economic overview and its impact on the market
PART 06: Market landscape
• Market overview
• Market size and forecast
• Five forces analysis
PART 07: Market segmentation by deployment model
• Global neural network software market by deployment model
• Global on-premises neural network software market
• Global cloud-based neural network software market
• Difference between on-premises and cloud-based neural network
PART 08: Market segmentation by end-user
• Global neural network software market by end-user
• Global neural network software market by BFSI
• Global neural network software market by healthcare
• Global neural network software market by retail
• Global neural network software market by others
PART 09: Geographical segmentation
• Global neural network software market by geography
• Neural network software market in Americas
• Neural network software market in EMEA
• Neural network software market in APAC
PART 10: Decision framework
PART 11: Drivers and challenges
• Market drivers
• Market challenges
PART 12: Trends
• Increasing emergence of neural networks in different sectors
• Rising use of neural network algorithm in photography
• Increasing use of machine learning for automating customer service
PART 13: Vendor landscape
• Competitive scenario
• Other prominent vendors
• Following are the vendors listed based on the framework
PART 14: Key vendor profiles
• Hewlett Packard Enterprise Development
• IBM
• Intel
• Microsoft
• Qualcomm Technologies
PART 15: Assumptions
• Market assumptions
PART 16: Appendix
• List of abbreviations
List of Exhibits
Exhibit 01: Relationship between different subfields in neural network
Exhibit 02: Overview: Global neural network software market
Exhibit 03: Global neural network software market 2016-2021 ($ billions)
Exhibit 04: Global investment in IoT
Exhibit 05: Five forces analysis
Exhibit 06: Pros and cons of deployment models
Exhibit 07: Global neural network software market by deployment model 2016 (revenue share)
Exhibit 08: Global on-premises neural network software market 2016-2021 ($ billions)
Exhibit 09: Global cloud-based neural network software market 2016-2021 ($ billions)
Exhibit 10: Vendors providing cloud-based neural network software
Exhibit 11: Difference between on-premises and cloud-based neural network
Exhibit 12: Global neural network software market by end-user 2016 (revenue share)
Exhibit 13: Global neural network software market by end-users 2016-2021 (revenue share)
Exhibit 14: Global neural network software market by BFSI 2016-2021 ($ billions)
Exhibit 15: Global neural network software market by healthcare 2016-2021 ($ billions)
Exhibit 16: Global neural network software market by retail 2016-2021 ($ billions)
Exhibit 17: Global neural network software market by others 2016-2021 ($ billions)
Exhibit 18: Global neural network software market by geography 2016 (revenue share)
Exhibit 19: Global neural network software market by geography 2016-2021 (revenue share)
Exhibit 20: Neural network software market in Americas 2016-2021 ($ billions)
Exhibit 21: Neural network providers in US
Exhibit 22: Neural network software market in EMEA 2016-2021 ($ billions)
Exhibit 23: Neural network software market in APAC 2016-2021 ($ billions)
Exhibit 24: Vendors in neural network software market in APAC
Exhibit 25: M&A in neural network software market
Exhibit 26: Language processing solutions by IBM
Exhibit 27: Other prominent vendors
Exhibit 28: Alphabet: Products and features
Exhibit 29: Berkeley Vision and Learning Center: Products and features
Exhibit 30: Facebook: Products and features
Exhibit 31: LISA Lab: Key products and features
Exhibit 32: Hewlett Packard Enterprise Development: Recent developments
Exhibit 33: IBM: Recent developments
Exhibit 34: Intel: Recent developments
Exhibit 35: Microsoft: Recent developments
Exhibit 36: Qualcomm Technologies: Recent developments
Exhibit 37: Market assumptions
