Neural Network Software Market Report 2026

Neural Network Software Market Overview

• Neural Network Software market size has reached to $41.37 billion in 2025 • Expected to grow to $133.48 billion in 2030 at a compound annual growth rate (CAGR) of 26.4% • Growth Driver: Digitalization Fueling Growth In Neural Network Software Market • Market Trend: Groundbreaking Technology For Advanced Traffic Analysis • Asia-Pacific was the largest region and fastest growing region.

What Is Covered Under Neural Network Software Market?

Neural network software refers to a technique in artificial intelligence that instructs computers to analyze data in a manner patterned after the human brain. Neural network software allows users to design, train, and test neural networks for a variety of applications, such as pattern recognition, prediction, and decision-making. The main types of neural network software are data mining and archiving, analytical software, optimization software, visualization software, and others. Data mining refers to a method of examining enormous amounts of data that uses neural network software to recreate extensive interactions between inputs and outputs, to look for patterns in data, or to warehouse companies’ data to gather information from databases. It consists of various components, including an artificial neural network, a deep neural network, services, a platform, and other components used by various end users, such as BFSI, healthcare, telecom, transportation, and other end users.

What Is The Neural Network Software Market Growth Forecast?

The neural network software market size is expected to see exponential growth in the next few years. It will grow to $133.48 billion in 2030 at a compound annual growth rate (CAGR) of 26.4%. The growth in the forecast period can be attributed to rising demand for deep learning solutions, increasing integration of neural networks in finance and healthcare, growth in real-time analytics adoption, expansion of ai-driven optimization tools, accelerating investments in enterprise digital transformation. Major trends in the forecast period include increasing demand for predictive analytics software, expansion of deep learning model deployment, rising adoption of visualization tools for real-time insights, growing use of optimization algorithms in decision-making, integration of neural network platforms in enterprise workflows.

Global Neural Network Software Market Segmentation

1) By Type: Data Mining And Archiving, Analytical Software, Optimization Software, Visualization Software, Other Types 2) By Component: Artificial Neural Network, Deep Neural Network, Services, Platform, Other Components 3) By End User: BFSI, Healthcare, Telecom And IT, Transportation, Other End Users Subsegments: 1) By Data Mining and Archiving: Data Preparation Tools, Data Warehousing Solutions, ETL (Extract, Transform, Load) Tools 2) By Analytical Software: Predictive Analytics Tools, Statistical Analysis Software, Machine Learning Platforms 3) By Optimization Software: Linear Programming Tools, Constraint Programming Tools, Heuristic And Metaheuristic Algorithms 4) By Visualization Software: Dashboard And Reporting Tools, Data Visualization Platforms, Geographic Information Systems (GIS) 5) By Other Types: Simulation Software, Neural Network Frameworks, Specialized AI Software Solutions

What Is The Driver Of The Neural Network Software Market?

The rising demand for digitalization is expected to propel the growth of the neural network software market going forward. Digitalization refers to the integration of digital tools, technologies, and workflows across business operations, enabling the conversion of traditional processes into more efficient, data-driven systems. The growing shift toward digital operations generates large volumes of structured and unstructured data, which in turn fuels the need for advanced neural network software capable of processing, analyzing, and extracting insights from this expanding data ecosystem. Neural network software supports digital transformation by enhancing automation, improving decision-making, and enabling predictive analytics across industries. For instance, in August 2024, according to Eurostat, a Luxembourg-based statistical authority of the European Commission, reaching a markedly higher 91% among large enterprises, digital intensity at a basic level was met in 2023 by 59% of all EU companies, including 58% of small and medium-sized firms. Therefore, the rising demand for digitalization is driving the growth of the neural network software industry.

Key Players In The Global Neural Network Software Market

Major companies operating in the neural network software market are Google LLC, Microsoft Corporation, Intel Corporation, IBM Corporation, Alyuda Research LLC, Neural Technologies Limited, Starmind International AG, Ward Systems Group Inc., Afiniti Ltd., NVIDIA Corporation, Oracle Corporation, Qualcomm Technologies Inc., GMDH Inc., Amazon.com Inc., Meta Platforms Inc., Cognex Corporation, BrainChip Holdings Ltd., Skymind Inc., Sentient Technologies, Vicarious, General Vision Inc., Darktrace Limited, Ayasdi Inc., Numenta Inc., Preferred Networks Inc., AIBrain AB, Fluid AI Inc., Clarifai Inc., Squirrel AI Inc., Darwin AI

Global Neural Network Software Market Trends and Insights

Major companies operating in the neural network software market are focused on developing groundbreaking technology with new features such as on-chip neural networks (NetGNT) for advanced traffic analysis. NetGNT refers to an artificial intelligence inference engine integrated directly onto a semiconductor chip, enabling machine learning capabilities. For instance, in November 2023, Broadcom Inc., a US-based semiconductor manufacturing company, launched Trident 5-X12, the first switch with an on-chip neural network (NetGNT) for advanced telemetry, security, and traffic engineering. The NetGNT operates in parallel, identifying traffic patterns across the chip to enhance network efficiency. The Trident 5-X12 offers 16.0 Terabits/second bandwidth, doubles that of Trident 4-X9, and supports 800G ports for direct connection to Tomahawk 5. It consumes 25% less power per 400G port, adds enhanced telemetry capabilities, and maintains legacy API compatibility, making it a versatile and power-efficient solution for data centers.

What Are Latest Mergers And Acquisitions In The Neural Network Software Market?

In August 2023, Advanced Micro Devices, Inc. (AMD), a US-based fabless semiconductor company, acquired Mipsology SAS for an undisclosed amount. The acquisition aims to bolster AMD's position against competitors like Nvidia by enhancing its AI software stack, which is crucial for both training and inference tasks in neural networks. By integrating Mipsology's expertise, AMD plans to expand its offerings in the neural network software market, facilitating streamlined deployment and improved performance for AI applications across various sectors, including autonomous vehicles and smart manufacturing. Mipsology SAS is a France-based AI software company known for its innovative solutions in deep learning inference, particularly through its flagship product.

Regional Outlook

Asia-Pacific was the largest region in the Neural network software market in 2025.Asia-Pacific is expected to be the fastest-growing region in the global neural network software market report during the forecast period. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

What Defines the Neural Network Software Market?

The neural network software market includes revenues earned by entities through providing neural network software services, including knowledge discovery in data, medical diagnosis, targeted marketing, and chemical compound identification. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The neural network software market consists of sales of standalone software, cloud-based software, and open-source software. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Neural Network Software Market Report 2026?

The neural network software market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the neural network software industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.