Neural Network Software Market Size & Share 2024-2032
Market Size by Type (Data Mining and Archiving, Analytical Software, Optimization Software, Visualization Software), by Component (Artificial Neural Network, Deep Neural Network, Services, Platforms), by Industry & Forecast.
Report ID: GMI10136
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Published Date: July 2024
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Report Format: PDF
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Authors:
Suraj Gujar, Sandeep Ugale
Neural Network Software Market Size
Neural Network Software Market was valued at USD 37.5 billion in 2023 and is anticipated to grow at a CAGR of over 32% between 2024 and 2032, due to the growing development of autonomous vehicles and Advanced Driver Assistance Systems (ADAS). With new technological advancements, the demand for neural network software solutions is continuously increasing, addressing the need for enhanced safety, efficiency, and user experience in modern vehicles. Neural network software is crucial in the development of perception systems for autonomous vehicles and ADAS. These systems rely on deep learning algorithms to process data from cameras, LiDAR, radars, and other sensors, enabling vehicles to detect and recognize objects, pedestrians, and road signs with high accuracy.
Neural Network Software Market Key Takeaways
Market Size & Growth
Key Market Drivers
Challenges
The preference for neural network software solutions is rapidly increasing among consumers, driven by the transformative potential of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing various aspects of daily life and business operations. The ability of neural networks to process data in real-time is particularly valuable in dynamic environments. Real-time analytics and decision-making capabilities are essential in areas such as autonomous driving, financial trading, and smart home systems.
Modern neural networks have millions of parameters and complex architectures, making it difficult to trace how specific inputs influence the outputs. Understanding which features or patterns the model is relying on for its predictions can be challenging, especially in deep convolutional networks or recurrent neural networks. Lack of interpretability can exacerbate issues related to bias and fairness in AI systems. Biases learned from training data may not be readily apparent without interpretability tools, leading to discriminatory outcomes in sensitive applications.
Neural Network Software Market Trends
The neural network software industry is witnessing unprecedented growth, driven by the rapid adoption of AI and ML technologies. Organizations are setting up dedicated AI research labs and collaborating with academic institutions to develop cutting-edge neural network algorithms and applications. Companies across various industries are recognizing the transformative potential of neural network software and are actively expanding their portfolios to stay competitive and meet the growing demand for AI-driven solutions.
There is a growing interest in and research in graph neural networks, which are specialized for processing data represented as graphs. Applications range from social networks & recommendation systems to drug discovery & physical simulations. Systems that can learn continually from new data without forgetting previously learned information are gaining traction.
Neural Network Software Market Analysis
Based on type, the data mining & archiving segment is estimated to grow at a CAGR of over 30% between 2024 and 2032.
Based on industry, the BFSI segment dominated the market in 2023 and is expected to reach over USD 150 billion by 2032.
Asia Pacific neural network software market is estimated to reach USD 95 billion by 2032. Countries such as China, Japan, South Korea, and India are significantly investing in AI infrastructure including neural network software development. Governments and private sectors are allocating resources to research institutions, startups, and established tech companies to foster innovations in AI technologies. This investment aims to leverage AI's potential across various sectors including healthcare, finance, manufacturing, and agriculture.
There is a growing trend toward the development of AI-powered services in South Korea, spanning sectors such as healthcare, finance, retail, and entertainment. Companies are leveraging neural network software to offer personalized recommendations, virtual assistants, healthcare diagnostics, and financial advisory services.
North America remains a hub for research and development in deep learning and Natural Language Processing (NLP). Neural network software is increasingly incorporating these advancements to enable more sophisticated applications such as voice recognition, sentiment analysis, language translation, and chatbots. Companies are also leveraging AI-powered tools for data analytics, customer relationship management, supply chain optimization, and cybersecurity. This integration is driven by the desire to improve operational efficiency, reduce costs, and enhance decision-making processes through advanced predictive and prescriptive analytics.
Neural Network Software Market Share
Google LLC & Microsoft together held over 15% share of the neural network software industry in 2023. Google LLC, a prominent player in the market, is renowned for its advancements in AI and ML technologies. Google LLC, often simply referred to as Google, is a multinational technology company specializing in internet-related services and products.
Microsoft is a prominent player in the neural network software market, leveraging its expertise in AI and ML to develop and deploy advanced solutions across various domains. Microsoft's AI initiatives are primarily driven by Azure AI, which offers a comprehensive suite of AI services and tools. These include Azure Machine Learning, a cloud-based platform for building, training, and deploying ML models using neural networks and other AI techniques.
Neural Network Software Market Companies
Major players operating in the neural network software industry are:
Neural Network Software Industry News
This neural network software market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue (USD million) from 2024 to 2032, for the following segments:
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Market, By Type
Market, By Component
Market, By Industry
The above information is provided for the following regions and countries:
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
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Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Security & defense sector journals and trade press
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →