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Global Neural Network Software Market to reach USD 120.9 billion by the end of 2029

Global Neural Network Software Market Size study & Forecast, by Component (Neural Network Software, Services, Platform and Other Enabling Services) Type (Data Mining and Archiving, Analytical Software, Optimization Software, and Visualization Software), Vertical (BFSI, Government and Defense, Energy and Utilities, Healthcare, Industrial Manufacturing, Others), and Regional Analysis, 2022-2029

Product Code: ICTEITS-23569814
Publish Date: 5-01-2023
Page: 200

Global Neural Network Software Market is valued approximately USD 18.2 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 26.7% over the forecast period 2022-2029. The neural network software is a tool used for ANN research and development, stimulation, and application (artificial neural network). The program refers to devices that resemble brains in certain ways and may have science fiction implications. Some of the major demand factors are problem solving and problem-solving techniques. The expansion of the market for neural network software over the past several years has been largely attributed to NN software’s capacity to assess, detect, and reduce abnormalities as well as potential future issues. The market growth is driven by key factors such as increasing demand for predicting solutions and availability of Spatial Data and Analytical Tools.

The vertical industry (AI+), vision, big data, data services, and intelligent robots are the main areas of concentration for international investments in the AI sector. The vertical industry accounts for 53% of all worldwide AI investments and funding initiatives, according to the CAICT 2018 study. While healthcare maintains 9% parts of this vertical industry sector, it is one of the favored places for investment. A network with three hidden layers was also shown to be the most effective network for NASDAQ stock exchange rate prediction, with an accuracy of 94.08% for the validation dataset. However, lack of expertise and other operational challenges stifles market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Neural Network Software Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is leading the global market share owing to increasing infrastructure and Research and development and adopting artificial intelligence. However, Asia Pacific is expected to be the fastest growing region due to research and development activities and increasing IT infrastructural development.

Major market player included in this report are:
IBM Corporation
Google Inc.
Microsoft Corporation
Oracle Corporation
Alyuda Research LLC
Intel Corporation
Qualcomm Technologies Inc.
Ward Systems Group Inc.
Starmind International AG

Recent Developments in the Market:
 Nvidia launched an AI toolset for radiologists in March 2019 as part of its ongoing focus on AI hardware and software. It is anticipated that the toolkit, which includes 13 cutting-edge classification and segmentation AIs and software tools created exclusively for radiologists, would assist radiologists in utilising AI and saving money and time.
 The Acumos AI Project, which promotes open-source innovation in artificial intelligence, machine learning, and deep learning, published its first software in November 2018. A platform and open-source framework called Acumos AI makes it simple to create, publish, and use AI applications.
Global Neural Network Software Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Component, Type, Vertical, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:
Neural Network Software
Platform and Other Enabling Services
By Type:
Data Mining and Archiving
Analytical Software
Optimization Software
Visualization Software
By Vertical:
Government and Defense
Energy and Utilities
Industrial Manufacturing

By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Neural Network Software Market, by Region, 2019-2029 (USD Billion)
1.2.2. Neural Network Software Market, by Component, 2019-2029 (USD Billion)
1.2.3. Neural Network Software Market, by Type, 2019-2029 (USD Billion)
1.2.4. Neural Network Software Market, by Vertical, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Neural Network Software Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Neural Network Software Market Dynamics
3.1. Neural Network Software Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Increasing Demand for Predicting Solutions Availability of Spatial Data and Analytical Tools
3.1.2. Market Challenges Lack of Expertise and Other Operational Challenges
3.1.3. Market Opportunities Increasing Use of Dnn in IoT Growing Innovation Across End-User Verticals
Chapter 4. Global Neural Network Software Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Investment Adoption Model
4.5. Analyst Recommendation & Conclusion
4.6. Top investment opportunity
4.7. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Neural Network Software Market, by Component
6.1. Market Snapshot
6.2. Global Neural Network Software Market by Component, Performance – Potential Analysis
6.3. Global Neural Network Software Market Estimates & Forecasts by Component 2019-2029 (USD Billion)
6.4. Neural Network Software Market, Sub Segment Analysis
6.4.1. Neural Network Software
6.4.2. Services
6.4.3. Platform and Other Enabling Services
Chapter 7. Global Neural Network Software Market, by Type
7.1. Market Snapshot
7.2. Global Neural Network Software Market by Type, Performance – Potential Analysis
7.3. Global Neural Network Software Market Estimates & Forecasts by Type 2019-2029 (USD Billion)
7.4. Neural Network Software Market, Sub Segment Analysis
7.4.1. Data Mining and Archiving
7.4.2. Analytical Software
7.4.3. Optimization Software
7.4.4. Visualization Software
Chapter 8. Global Neural Network Software Market, by Vertical
8.1. Market Snapshot
8.2. Global Neural Network Software Market by Vertical, Performance – Potential Analysis
8.3. Global Neural Network Software Market Estimates & Forecasts by Vertical 2019-2029 (USD Billion)
8.4. Neural Network Software Market, Sub Segment Analysis
8.4.1. BFSI
8.4.2. Government and Defense
8.4.3. Energy and Utilities
8.4.4. Healthcare
8.4.5. Industrial Manufacturing
8.4.6. Others
Chapter 9. Global Neural Network Software Market, Regional Analysis
9.1. Neural Network Software Market, Regional Market Snapshot
9.2. North America Neural Network Software Market
9.2.1. U.S. Neural Network Software Market Component breakdown estimates & forecasts, 2019-2029 Type breakdown estimates & forecasts, 2019-2029 Vertical breakdown estimates & forecasts, 2019-2029
9.2.2. Canada Neural Network Software Market
9.3. Europe Neural Network Software Market Snapshot
9.3.1. U.K. Neural Network Software Market
9.3.2. Germany Neural Network Software Market
9.3.3. France Neural Network Software Market
9.3.4. Spain Neural Network Software Market
9.3.5. Italy Neural Network Software Market
9.3.6. Rest of Europe Neural Network Software Market
9.4. Asia-Pacific Neural Network Software Market Snapshot
9.4.1. China Neural Network Software Market
9.4.2. India Neural Network Software Market
9.4.3. Japan Neural Network Software Market
9.4.4. Australia Neural Network Software Market
9.4.5. South Korea Neural Network Software Market
9.4.6. Rest of Asia Pacific Neural Network Software Market
9.5. Latin America Neural Network Software Market Snapshot
9.5.1. Brazil Neural Network Software Market
9.5.2. Mexico Neural Network Software Market
9.6. Rest of The World Neural Network Software Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. IBM Corporation Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.2.2. Google Inc.
10.2.3. Microsoft Corporation
10.2.4. Oracle Corporation
10.2.5. Alyuda Research LLC
10.2.6. SAP SE
10.2.7. Intel Corporation
10.2.8. Qualcomm Technologies Inc.
10.2.9. Ward Systems Group Inc.
10.2.10. Starmind International AG
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

The study of the market is incorporated by extensive primary and secondary research conducted by the research team at OMR. Secondary research has been conducted to refine the available data to breakdown the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geographies to provide a better regional outlook. In the report, country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior, and macro-economic factors. Numbers extracted from secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. Our analysts contact company executives, managers, key opinion leaders, and industry experts. This enables our analyst to derive the closest possible figures without any major deviations in the actual number.

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