Neural Network Software Market Introduction and Overview
According to SPER Market Research, the Global Neural Network Software Market is estimated to reach USD 556.67 billion by 2034 with a CAGR of 33.76%.
The report includes an in-depth analysis of the Global Neural Network Software Market, including market size and trends, product mix, Applications, and supplier analysis. The market for neural network software is expanding quickly due to developments in big data analytics, artificial intelligence, and the growing need for automation in sectors including manufacturing, healthcare, and finance. These tools give businesses a competitive edge by facilitating effective pattern detection, predictive modelling, and real-time decision-making. The proliferation of IoT devices, the growing use of cloud-based solutions, and the demand for sophisticated data processing skills are some of the main motivators. But issues like high implementation costs, a shortage of qualified experts, and worries about data security and privacy still exist. Notwithstanding these obstacles, continued R&D and rising awareness of the advantages of AI are anticipated to support market growth.
By Component Insights: Neural Network Software is classified into four categories: Artificial neural network, deep neural network, Services, Platforms. Deep Neural Network Software has become a market leader due to its exceptional versatility, which allows it to perform well on complex data jobs in a variety of industries, including technology, healthcare, and finance. The services sector is expected to develop at a robust compound annual growth rate (CAGR) because businesses demand AI solutions that are not only tailored to their requirements but also meet the ongoing maintenance and support needs of neural network applications.
By Type Insights: The market for Neural Network Software is segmented based on Type, including Data mining and archiving, Analytical software, Optimization software, Visualization software. The market for neural network software had the largest revenue contribution from analytical systems because of the increasing need for meaningful insights from massive data sets by businesses. This kind of software aids businesses in improving data analysis so they can make better business decisions. The expansion of data mining and archiving, however, is anticipated. The increasing need for sophisticated analytics and the vital requirement for efficient data governance which includes guaranteeing prompt access to the appropriate, high-quality data are driving this rise.
By Industry Insights: The market for Neural Network Software is divided into many Industry, including BFSI, IT & telecom, Healthcare, Industrial manufacturing, Media. The banking, financial services, and insurance (BFSI) industry's high reliance on sophisticated analytics for fraud detection, long-term risk management strategies, and multi-channel tailored service has led to neural network software's market revenue share. However, because of growing demands for resource optimization, network security, and customer analytics, IT & Telecom is anticipated to record the greatest CAGR over the course of the year.
By Regional Insights: North America is predicted to dominate the neural network software market due to the huge number of organizations using neural network technology, as well as technologically advanced scenarios. However, the Middle East and Africa (MEA) region has the potential to provide significant development possibilities for the industry in coming years. The MEA region's growth rate is being driven mostly by increased technological implementations and smart city initiatives.
Market Competitive Landscape:
Product introductions, mergers and acquisitions, and partnerships are the main approaches used by businesses in the neural network software market. Leading the neural network technology market, Microsoft uses its knowledge of AI and ML to create and implement cutting-edge solutions in a variety of fields. Some of the key market players are Afiniti, Alyuda, Alyuda Research, LLC, GMDH, Google LLC, IBM Corporation, Intel Corporation, Lumivero, MicroEmbesys Technologies Pvt Ltd, Microsoft, Neural Technologies Limited and Neuralware, NVIDIA Corporation.
Recent Developments:
- In January 2024, Customers started getting the FSD Beta v12 update from Tesla, marking a significant milestone in the business's attempts to meet its promises on autonomous driving. Through the use of a unified neural network that has been trained on a sizable collection of footage, FSD Beta v12 improves driving abilities in urban settings.
- In November 2023, With its most current Trident 5-X12 processor, Broadcom Inc. introduced NetGNT (Networking General-purpose Neural-network Traffic-analyser), a new on-chip neural-network inference engine which can be set up with the software.
Scope of the Report:
| Report Metric | Details |
| Market size available for years | 2021-2034 |
| Base year considered | 2024 |
| Forecast period | 2025-2034 |
| Segments covered | By Component, By Type, By Industry. |
| Regions covered | North America, Latin America, Asia-Pacific, Europe, and Middle East & Africa. |
| Companies Covered | Afiniti, Alyuda, Alyuda Research, LLC, GMDH, Google LLC, IBM Corporation, Intel Corporation, Lumivero, MicroEmbesys Technologies Pvt Ltd, Microsoft, Neural Technologies Limited, Neuralware, NVIDIA Corporation. |
Key Topics Covered in the Report:
- Global Neural Network Software Market Size (FY’2021-FY’2034)
- Overview of Global Neural Network Software Market
- Segmentation of Global Neural Network Software Market By Component (Artificial neural network, Deep neural network, Services, Platforms)
- Segmentation of Global Neural Network Software Market By Type (Data mining and archiving, Analytical software, Optimization software, Visualization software)
- Segmentation of Global Neural Network Software Market By Industry (BFSI, IT & telecom, Healthcare, Industrial manufacturing, Media)
- Statistical Snap of Global Neural Network Software Market
- Expansion Analysis of Global Neural Network Software Market
- Problems and Obstacles in Global Neural Network Software Market
- Competitive Landscape in the Global Neural Network Software Market
- Details on Current Investment in Global Neural Network Software Market
- Competitive Analysis of Global Neural Network Software Market
- Prominent Players in the Global Neural Network Software Market
- SWOT Analysis of Global Neural Network Software Market
- Global Neural Network Software Market Future Outlook and Projections (FY’2025-FY’2034)
- Recommendations from Analyst
1. Introduction
1.1. Scope of the report
1.2. Market segment analysis
2. Research Methodology
2.1. Research data source
2.1.1. Secondary Data
2.1.2. Primary Data
2.1.3. SPERs internal database
2.1.4. Premium insight from KOLs
2.2. Market size estimation
2.2.1. Top-down and Bottom-up approach
2.3. Data triangulation
3. Executive Summary
4. Market Dynamics
4.1. Driver, Restraint, Opportunity and Challenges analysis
4.1.1. Drivers
4.1.2. Restraints
4.1.3. Opportunities
4.1.4. Challenges
5. Market variable and outlook
5.1. SWOT Analysis
5.1.1. Strengths
5.1.2. Weaknesses
5.1.3. Opportunities
5.1.4. Threats
5.2. PESTEL Analysis
5.2.1. Political Landscape
5.2.2. Economic Landscape
5.2.3. Social Landscape
5.2.4. Technological Landscape
5.2.5. Environmental Landscape
5.2.6. Legal Landscape
5.3. PORTERs Five Forces
5.3.1. Bargaining power of suppliers
5.3.2. Bargaining power of buyers
5.3.3. Threat of Substitute
5.3.4. Threat of new entrant
5.3.5. Competitive rivalry
5.4. Heat Map Analysis
6. Competitive Landscape
6.1. Global Neural Network Software Market Manufacturing Base Distribution, Sales Area, Product Type
6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global Neural Network Software Market
7. Global Neural Network Software Market, By Component (USD Million) 2021-2034
7.1. Artificial neural network
7.2. Deep neural network
7.3. Services
7.4. Platforms
8. Global Neural Network Software Market, By Type (USD Million) 2021-2034
8.1. Data mining and archiving
8.2. Analytical software
8.3. Optimization software
8.4. Visualization software
9. Global Neural Network Software Market, By Industry (USD Million) 2021-2034
9.1. BFSI
9.2. IT & telecom
9.3. Healthcare
9.4. Industrial manufacturing
9.5. Media
10. Global Neural Network Software Market, (USD Million) 2021-2034
10.1. Global Neural Network Software Market Size and Market Share
11. Global Neural Network Software Market, By Region, (USD Million) 2021-2034
11.1. Asia-Pacific
11.1.1. Australia
11.1.2. China
11.1.3. India
11.1.4. Japan
11.1.5. South Korea
11.1.6. Rest of Asia-Pacific
11.2. Europe
11.2.1. France
11.2.2. Germany
11.2.3. Italy
11.2.4. Spain
11.2.5. United Kingdom
11.2.6. Rest of Europe
11.3. Middle East and Africa
11.3.1. Kingdom of Saudi Arabia
11.3.2. United Arab Emirates
11.3.3. Qatar
11.3.4. South Africa
11.3.5. Egypt
11.3.6. Morocco
11.3.7. Nigeria
11.3.8. Rest of Middle-East and Africa
11.4. North America
11.4.1. Canada
11.4.2. Mexico
11.4.3. United States
11.5. Latin America
11.5.1. Argentina
11.5.2. Brazil
11.5.3. Rest of Latin America
12. Company Profile
12.1. Afiniti
12.1.1. Company details
12.1.2. Financial outlook
12.1.3. Product summary
12.1.4. Recent developments
12.2. Alyuda
12.2.1. Company details
12.2.2. Financial outlook
12.2.3. Product summary
12.2.4. Recent developments
12.3. Alyuda Research, LLC
12.3.1. Company details
12.3.2. Financial outlook
12.3.3. Product summary
12.3.4. Recent developments
12.4. GMDH
12.4.1. Company details
12.4.2. Financial outlook
12.4.3. Product summary
12.4.4. Recent developments
12.5. Google LLC
12.5.1. Company details
12.5.2. Financial outlook
12.5.3. Product summary
12.5.4. Recent developments
12.6. IBM Corporation
12.6.1. Company details
12.6.2. Financial outlook
12.6.3. Product summary
12.6.4. Recent developments
12.7. Intel Corporation
12.7.1. Company details
12.7.2. Financial outlook
12.7.3. Product summary
12.7.4. Recent developments
12.8. Lumivero
12.8.1. Company details
12.8.2. Financial outlook
12.8.3. Product summary
12.8.4. Recent developments
12.9. MicroEmbesys Technologies Pvt Ltd
12.9.1. Company details
12.9.2. Financial outlook
12.9.3. Product summary
12.9.4. Recent developments
12.10. Microsoft
12.10.1. Company details
12.10.2. Financial outlook
12.10.3. Product summary
12.10.4. Recent developments
12.11. Others
13. Conclusion
14. List of Abbreviations
15. Reference Links