Neural Network Software Market Size to Reach $554.53 billion by 2034

According to Straits Research the global neural network software market was valued at $34.2 billion in 2025 and is anticipated to grow from $44.55 billion in 2026 to $369.62 billion by 2034, registering a CAGR of 30.27% during the forecast period 2026–2034.

An artificial neural network is a form of artificial intelligence with a series of algorithms that recognizes the relationship between the data sets. It imitates the human brain learning process to solve the complex pattern recognition problems, in particular to analyze large data sets. Some popular types of neural networks are autoencoders, convolutional neural networks, and recurrent neural networks. Neural networks are widely used for real-world business problems involving data validation, customer research, forecasting, and risk management. It is applied across various industries such as marketing, retail & sales, banking & finance, and medicine, among others.

Market Dynamics

Analytical Software to Demystify the Intricacies Involved in a Surveillance Video

The analytical software segment is projected to hold significant market share among other type segments in the global neural network software market on account of government organizations increasingly using surveillance systems for investigations. The recordings in the surveillance systems often have lower resolution, compelling law enforcement agencies to embrace advanced technological solutions to analyze video patterns. For instance, in January 2019, BrainChip Holdings announced a strategic partnership with SoftCryptum to sell BrainChip’s AI-powered video analytics solutions to government agencies in France, Belgium, and Switzerland.

Katana Lens — An AI-Powered Tool, to Bring Forth Decisiveness in Trading

The prevalence of artificial intelligence into the trading systems is propelling the demand for neural network software market in the BFSI industry. Automated trading systems allow computers to monitor and execute trades. For instance, in October 2018, ING launched Katana Lens, an AI tool, that assist investors in finding and comparing trade ideas. The Katana Lens is a web-based application that provides predictive analytics to bond investors for facilitating faster and sharper decisions. Such instances are attributed to influence the finance segment growth in the global neural network software market.

Europe to Witness Artificial Neural Network Help Detect Heart Failure Risks

Data continues to diversify and change compelling organizations to embrace predictive analytics. The incorporation of Artificial Neural Network Technology (ANN) in the healthcare sector is proven to be beneficial. For instance, in September 2019, researchers of Organizational Neuroscience at the University of Surrey, developed a neural network approach which can accurately identify congestive heart failure with 100% accuracy through analysis of just one raw electrocardiogram (ECG) heartbeat by using Convolutional Neural Networks (CNN).