Global Artificial Neural Networks Market to Reach USD 600.3M by 2030, Driven by AI Adoption Across Industries | IBM Corporation, Qualcomm Technologies, Inc, Intel Corporation

Global Artificial Neural Networks (ANN) Market reached US$ 164.3 million in 2022 and is expected to reach US$ 600.3 million by 2030 growing with a CAGR of 17.6% during the forecast period 2024-2031.

According to DataM Intelligence has published a new research report on "Artificial Neural Networks Market Size 2025". The report explores comprehensive and insightful Information about various key factors like Regional Growth, Segmentation, CAGR, Business Revenue Status of Top Key Players and Drivers. The purpose of this report is to provide a telescopic view of the current market size by value and volume, opportunities, and development status.

Artificial neural networks (ANNs) are computational models inspired by the structure and function of the human brain. They consist of interconnected nodes, or "neurons," organized into layers that process and analyze complex data. ANNs are pivotal in machine learning, powering applications such as image recognition, natural language processing, and predictive analytics. Their ability to learn from data and adapt to changing patterns makes them essential for advancing artificial intelligence. ANNs are transforming industries by enabling automation, improving decision-making, and driving innovation.

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➣ Recent Developments:

United States: Recent Industry Developments

✅ In July 2025, U.S. tech companies advanced deep learning-based neural networks for autonomous vehicle perception, improving real-time object detection and navigation accuracy.

✅ In June 2025, healthcare AI firms implemented ANN models for predictive diagnostics, including early detection of cancer and cardiovascular diseases.

✅ In May 2025, financial institutions leveraged ANN-powered models for fraud detection, risk assessment, and algorithmic trading strategies.

Europe: Recent Industry Developments

✅ In July 2025, European AI research labs focused on energy-efficient neural networks to reduce computational costs and carbon footprint in cloud-based AI services.

✅ In June 2025, Germany and the UK deployed ANNs in manufacturing and predictive maintenance, enabling smarter industrial IoT operations.

✅ In May 2025, EU-funded initiatives enhanced explainable AI frameworks for ANN-based models to improve transparency and regulatory compliance.

Asia-Pacific: Recent Industry Developments

✅ In July 2025, Chinese tech giants expanded large-scale neural network training infrastructures to support AI-driven language models, robotics, and smart cities.

✅ In June 2025, Japanese and South Korean companies developed ANNs for computer vision and robotics, enabling enhanced automation in industrial and healthcare applications.

✅ In May 2025, Indian startups focused on cost-effective ANN solutions for fintech, edtech, and e-commerce personalization.

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➣ Top Industry Players:

IBM Corporation, Qualcomm Technologies, Inc, Intel Corporation, Oracle, nDimensional, Alyuda Research, LLC, Microsoft, SAP SE, Starmind, Afiniti, Ward Systems Group, Inc, Google LLC, NeuralWare.

➣ Market Segments:

By Type (Feedback Artificial Neural Network, Feedforward Artificial Neural Network),

By Component: Solutions, Platform/API, Services.

By Deployment: On-premises, Cloud.

By Application: Image Recognition, Signal Recognition, Data Mining, Others.

By End-User: Banking, Financial Services, Insurance, Retail and E-commerce, Healthcare and Life Sciences, Others.

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Regional Break out:

☞ North America - US, Canada, Mexico

☞ Europe- Germany, Russia, UK, France, Italy, Rest of Europe

☞ Asia Pacific- China, India, Japan, Australia, Rest of Asia Pacific

☞ South America- Brazil, Argentina, Colombia, Rest of South America

☞ Middle East and Africa- Saudi Arabia, UAE, Oman, Bahrain, Qatar, Kuwait, Israel

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Chapter Outline:

⏩ Market Overview: It contains five chapters, as well as information about the research scope, major manufacturers covered, market segments, Artificial Neural Networks Market segments, study objectives, and years considered.

⏩ Market Landscape: The competition in the Global Artificial Neural Networks Market is evaluated here in terms of value, turnover, revenues, and market share by organization, as well as market rate, competitive landscape, and recent developments, transaction, growth, sale, and market shares of top companies.

⏩ Companies Profiles: The global Artificial Neural Networks market's leading players are studied based on sales, main products, gross profit margin, revenue, price, and growth production.

⏩ Market Outlook by Region: The report goes through gross margin, sales, income, supply, market share, CAGR, and market size by region in this segment. North America, Europe, Asia Pacific, Middle East & Africa, and South America are among the regions and countries studied in depth in this study.

⏩ Market Segments: It contains the deep research study which interprets how different end-user/application/type segments contribute to the Artificial Neural Networks Market.

⏩ Market Forecast: Production Side: In this part of the report, the authors have focused on production and production value forecast, key producers forecast, and production and production value forecast by type.

⏩ Research Findings: This section of the report showcases the findings and analysis of the report.

⏩ Conclusion: This portion of the report is the last section of the report where the conclusion of the research study is provided.

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