Edit Content
Bizwit-Logo-Final

Bizwit Research & Consulting LLP is a global provider of business intelligence & consulting services. We have a strong primary base of key industry leaders along with the chain of industry analysts to analyze the market trends and its future impact in order to estimates and forecast different business segments and markets. 

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
SAP SE
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
Services
Platform and Other Enabling Services
By Type:
Data Mining and Archiving
Analytical Software
Optimization Software
Visualization Software
By Vertical:
BFSI
Government and Defense
Energy and Utilities
Healthcare
Industrial Manufacturing
Others

By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
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
3.1.1.1. Increasing Demand for Predicting Solutions
3.1.1.2. Availability of Spatial Data and Analytical Tools
3.1.2. Market Challenges
3.1.2.1. Lack of Expertise and Other Operational Challenges
3.1.3. Market Opportunities
3.1.3.1. Increasing Use of Dnn in IoT
3.1.3.2. 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
9.2.1.1. Component breakdown estimates & forecasts, 2019-2029
9.2.1.2. Type breakdown estimates & forecasts, 2019-2029
9.2.1.3. 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
10.2.1.1. Key Information
10.2.1.2. Overview
10.2.1.3. Financial (Subject to Data Availability)
10.2.1.4. Product Summary
10.2.1.5. 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

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

Need Assistance

Contact Person -
Krishant Mennon
Call us @
+ 91 99931 15879
Email: sales@bizwitresearch.com

Checkout

Why Choose Us?

Quality over Quantity

Backed by 60+ paid data sources our reports deliver crisp insights with no compromise quality.

Analyst Support

24x7 Chat Support plus
free analyst hours with every purchase

Flawless Methodology

Our 360-degree approach of market study, our research methods leave stones unturned.

Enquiry Now