Artificial neural network market seen reaching $1.27 billion by 2030

The Business Research Company says the artificial neural network market will grow from $0.68 billion in 2026 to $1.27 billion by 2030, driven by cloud adoption, real-time AI use cases and broader enterprise deployment. North America leads now, while Asia-Pacific is expected to grow fastest over the forecast period.

Why it matters: - Artificial neural networks are moving deeper into enterprise software, cloud platforms and automation tools. - The market’s projected 17% CAGR points to sustained demand for AI systems that can process data, find patterns and support predictive decision-making. - The growth outlook matters for cloud providers, AI vendors and industries adding neural-network-based tools to daily operations.

What happened: - The Business Research Company projected the global artificial neural network market will rise from $0.68 billion in 2026 to $1.27 billion by 2030. - The forecast implies a 17.0% CAGR across the period. - The company said the market grew from $0.58 billion in 2025 to $0.68 billion in 2026, a 17.4% CAGR. - The report was published Nov. 3, 2026, from London. - The company also made a free sample of the report available.

The details: - Artificial neural networks are machine learning systems modeled on the human brain’s connections. - ANN systems use input, hidden and output layers to turn data into outputs through weighted connections. - Growth in the historical period was driven by larger datasets, stronger computing power, open-source neural network frameworks, early enterprise machine learning adoption and rising demand for pattern recognition. - Future growth is expected to come from real-time AI applications, cloud-based AI investment, broader edge AI use, wider automation integration and deeper enterprise deployment. - The report flagged expanding use of deep learning architectures, more ANN use in image and signal processing, growing cloud-based ANN platforms, cross-industry adoption and a sharper focus on scalability and efficiency. - Cloud-based solutions are a major driver because they offer scalability, cost savings, better data access and remote collaboration. - ANN tools add predictive analytics and intelligent decision-making to cloud environments. - Eurostat reported in December 2023 that 45.2% of enterprises in the European Union purchased cloud computing services. - North America held the largest market share in 2025. - Asia-Pacific is expected to be the fastest-growing region during the forecast period. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - The company said the 2026 report includes market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based forecasting dashboards, market hotspots infographics, key technology analysis and updated graphics and tables. - The company provided contact details for Saumya Sahay and listed regional phone numbers and the email address marketing@tbrc.info.

Between the lines: - The forecast suggests ANN demand is shifting from specialized AI work to broader commercial deployment. - Cloud adoption is doing more than supporting AI infrastructure; it is expanding the addressable market for ANN tools. - Regional momentum appears split: established enterprise adoption is concentrated in North America, while faster growth may come from newer AI spending in Asia-Pacific.

What's next: - The market is expected to keep expanding through 2030 as cloud, edge AI and automation use cases spread. - The Business Research Company will likely use the updated report format to market deeper forecasting and competitor analysis to buyers. - Broader enterprise adoption of ANN models could increase as organizations look for more scalable AI systems.