Market Overview:
The global neural network software market is expected to grow at a CAGR of xx% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for artificial intelligence (AI) and machine learning across industries. Neural network software is used for training and deploying deep learning networks, which are used for various applications such as image recognition, natural language processing, and predictive maintenance. The global neural network software market by type is segmented into analysis software, optimization software, and visual software.
Product Definition:
Neural network software is used to create and train artificial neural networks, which are systems that model the workings of the brain. Neural networks can be used for tasks such as image recognition, speech recognition, and natural language processing.
Analysis Software:
Software is used for data analysis in neural networks. It helps to process the information and provides a final output. The software also helps to design, build and analyze artificial intelligence systems which are mainly used in self-driving cars, voice assistants like Alexa or Google Home etc., fraud detection systems like credit card verification, identification of fraudulent transactions etc., computer vision for image processing (for example face recognition) and others.
Optimization Software:
Optimization software is used to find the best settings for neural network training. It includes various tools and methods that help in finding the best possible settings for a certain task or objective. The optimization process involves different steps such as variable selection, constraints satisfaction, search tree construction, and algorithm design among others. In step 1 of the optimization process; variable selection; variables are identified which will be used in later steps to optimize a certain function or objective.
Application Insights:
The large enterprises segment dominated the global neural network software market in 2017. This is attributed to factors such as presence of a large number of enterprise customers, high demand for advanced solutions and services by these customers, and strong salesforce automation capabilities. The SMEs segment are expected to witness lucrative growth over the forecast period owing to increasing adoption of deep learning algorithms in data analytics across numerous industries including retail, healthcare, financial services etc. Furthermore, growing penetration of smartphones coupled with rising disposable income levels among the population will further propel industry growth over the forecast period.
Neural network software has witnessed tremendous adoption across various industries such as oil & gas; manufacturing; media & entertainment; transportation etc.
Regional Analysis:
North America dominated the global market in 2017. The growth can be attributed to the presence of a large number of industry players, high adoption rate of advanced technologies, and increasing demand for neural network solutions from various end-use industries. Moreover, growing penetration of AI and IoT technologies is expected to drive regional market growth over the forecast period.
Asia Pacific is expected to witness significant growth over the next eight years owing to increasing investments by key companies in this region coupled with rising adoption by SMEs & Large enterprises for streamlining operations and enhancing customer experience. Furthermore, favorable government initiatives such as “Make in India†initiative are anticipated to create ample opportunities for vendors operating within APAC region during the forecast period. Increasing use cases such as smart cities development projects are also driving regional demand across countries such as China & Japan thereby boosting overall revenue generation within APAC region over time (i) (b).
Growth Factors:
- Increasing demand for neural network software from the automotive industry for advanced driver assistance systems (ADAS) and autonomous driving applications
- Growing demand for neural network software from the healthcare industry for diagnosis and treatment of diseases
- Increasing use of neural networks in retail sector to improve customer experience
- Rising adoption of neural networks in manufacturing sector to improve process efficiency
- Proliferation of big data and increasing need for advanced analytics
Scope Of The Report
Report Attributes
Report Details
Report Title
Neural Network Software Market Research Report
By Type
Analysis Software, Optimization Software, Visual Software
By Application
Small and Medium Enterprises (SMEs), Large enterprises
By Companies
GMDH, Artificial Intelligence Techniques, Oracle, IBM, Microsoft, Intel, AWS, NVIDIA, TFLearn, Keras
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
134
Number of Tables & Figures
94
Customization Available
Yes, the report can be customized as per your need.
Global Neural Network Software Market Report Segments:
The global Neural Network Software market is segmented on the basis of:
Types
Analysis Software, Optimization Software, Visual Software
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Small and Medium Enterprises (SMEs), Large enterprises
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- GMDH
- Artificial Intelligence Techniques
- Oracle
- IBM
- Microsoft
- Intel
- AWS
- NVIDIA
- TFLearn
- Keras
Highlights of The Neural Network Software Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Analysis Software
- Optimization Software
- Visual Software
- By Application:
- Small and Medium Enterprises (SMEs)
- Large enterprises
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Neural Network Software Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Neural network software is a computer program that helps to train artificial neural networks.
Some of the major companies in the neural network software market are GMDH, Artificial Intelligence Techniques, Oracle, IBM, Microsoft, Intel, AWS, NVIDIA, TFLearn, Keras.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Neural Network Software Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Neural Network Software Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Neural Network Software Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Neural Network Software Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Neural Network Software Market Size & Forecast, 2020-2028
4.5.1 Neural Network Software Market Size and Y-o-Y Growth
4.5.2 Neural Network Software Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 Analysis Software
5.2.2 Optimization Software
5.2.3 Visual Software
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Small and Medium Enterprises (SMEs)
6.2.2 Large enterprises
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Neural Network Software Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Neural Network Software Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 Analysis Software
9.6.2 Optimization Software
9.6.3 Visual Software
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Small and Medium Enterprises (SMEs)
9.10.2 Large enterprises
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 Analysis Software
10.6.2 Optimization Software
10.6.3 Visual Software
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Small and Medium Enterprises (SMEs)
10.10.2 Large enterprises
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 Analysis Software
11.6.2 Optimization Software
11.6.3 Visual Software
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Small and Medium Enterprises (SMEs)
11.10.2 Large enterprises
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 Analysis Software
12.6.2 Optimization Software
12.6.3 Visual Software
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Small and Medium Enterprises (SMEs)
12.10.2 Large enterprises
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 Analysis Software
13.6.2 Optimization Software
13.6.3 Visual Software
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Small and Medium Enterprises (SMEs)
13.10.2 Large enterprises
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Neural Network Software Market: Competitive Dashboard
14.2 Global Neural Network Software Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 GMDH
14.3.2 Artificial Intelligence Techniques
14.3.3 Oracle
14.3.4 IBM
14.3.5 Microsoft
14.3.6 Intel
14.3.7 AWS
14.3.8 NVIDIA
14.3.9 TFLearn
14.3.10 Keras
