Neural Network Software Market Report 2026

The neural network software market size has grown exponentially in recent years. It will grow from $41.37 billion in 2025 to $52.25 billion in 2026 at a compound annual growth rate (CAGR) of 26.3%. The growth in the historic period can be attributed to early adoption of machine learning tools, increasing data generation across industries, rise of statistical analysis platforms, growth in cloud-based software usage, expansion of enterprise automation initiatives.

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.

The growing emphasis on digitalization is expected to drive the growth of the neural network software market in the coming years. Digitalization involves integrating digital tools, technologies, and workflows across business operations, converting traditional processes into more efficient, data-driven systems. As organizations increasingly adopt digital operations, the resulting surge in structured and unstructured data creates demand for advanced neural network software capable of processing, analyzing, and extracting actionable insights. Neural network software facilitates digital transformation by enhancing automation, supporting predictive analytics, and improving decision-making across industries. For instance, in August 2024, Eurostat, the Luxembourg-based statistical authority of the European Commission, reported that digital intensity at a basic level was achieved in 2023 by 59% of all EU companies, including 58% of small and medium-sized firms, reaching as high as 91% among large enterprises. Therefore, the growing adoption of digitalization is driving demand for neural network software.

Leading companies in the neural network software market are developing groundbreaking technologies, such as on-chip neural networks (NetGNT), to enable advanced traffic analysis. NetGNT is an artificial intelligence inference engine integrated directly onto a semiconductor chip, providing enhanced machine learning capabilities. For example, in November 2023, Broadcom Inc., a US-based semiconductor company, launched the Trident 5-X12, the first switch with an on-chip neural network (NetGNT) designed for advanced telemetry, security, and traffic engineering. The NetGNT operates in parallel across the chip, detecting traffic patterns to optimize network efficiency. The Trident 5-X12 provides 16 Terabits/second bandwidth, double that of the Trident 4-X9, supports 800G ports for direct connection to Tomahawk 5, consumes 25% less power per 400G port, adds enhanced telemetry capabilities, and maintains compatibility with legacy APIs, offering a versatile and energy-efficient solution for data centers.

In August 2023, Advanced Micro Devices, Inc. (AMD), a US-based fabless semiconductor company, acquired Mipsology SAS for an undisclosed amount. This acquisition aims to strengthen AMD’s AI software portfolio, enhancing its competitive position against rivals like Nvidia. By leveraging Mipsology’s expertise, AMD plans to expand its neural network software offerings, enabling more efficient deployment and improved performance of AI applications across sectors such as autonomous vehicles and smart manufacturing. Mipsology SAS, based in France, specializes in AI software solutions for deep learning inference, particularly through its flagship product.

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.

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 the neural network software market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the neural network software market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs are influencing the neural network software market by increasing the costs of hardware infrastructure, imported servers, and cloud components required to train and deploy neural models. Regions dependent on high-performance computing imports - especially Asia-Pacific and Europe - face delays in system integration and elevated operational expenses. Segments such as data mining, analytical software, and deep neural network platforms are most affected. Despite challenges, tariffs are promoting domestic development of AI infrastructure and stimulating regional cloud innovation, which may reduce long-term reliance on foreign technologies.

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

Neural network software is an artificial intelligence technology that enables computers to analyze data in ways inspired by the human brain. It allows users to design, train, and test neural networks for tasks such as pattern recognition, prediction, decision-making, and complex data analysis.

The main types of neural network software include data mining and archiving, analytical software, optimization software, visualization software, and others. Data mining software uses neural networks to process large volumes of data, identify patterns, and model complex input-output relationships. This type of software often includes components such as artificial neural networks (ANNs), deep neural networks (DNNs), platforms, services, and other modules that enhance data processing and insights. Neural network software is applied across a range of industries, including banking, financial services, and insurance (BFSI), healthcare, telecommunications, transportation, and other sectors, providing end users with advanced tools for analytics, forecasting, and decision support.

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.

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.

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