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United States Artificial Neural Networks Market is expected to reach US$ 600.3 Million by 2030 | Top key players - IBM Corporation, Microsoft Corporation, SAS Institute Inc.

10-08-2025 12:16 PM CET | IT, New Media & Software

Press release from: DataM Intelligence 4Market Research

Artificial Neural Networks Market

Artificial Neural Networks Market

Market Size and Forecast:

The Global Artificial Neural Networks (ANN) Market Size 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.

The Artificial Neural Networks Market report, published by DataM Intelligence, provides in-depth insights and analysis on key market trends, growth opportunities, and emerging challenges. Committed to delivering actionable intelligence, DataM Intelligence empowers businesses to make informed decisions and stay ahead of the competition. Through a combination of qualitative and quantitative research methods, it offers comprehensive reports that help clients navigate complex market landscapes, drive strategic growth, and seize new opportunities in an ever-evolving global market.

Get a Free Sample PDF Of This Report (Get Higher Priority for Corporate Email ID): https://datamintelligence.com/download-sample/artificial-neural-networks-market?sz

The Artificial Neural Networks (ANN) Market refers to the industry focused on developing, deploying, and commercializing neural network-based technologies that mimic human brain functioning to process data, recognize patterns, and make intelligent decisions. It includes software, hardware, and services used across sectors such as healthcare, finance, automotive, and manufacturing to enhance automation, analytics, and predictive capabilities.

Industry Recent Developments:

USA:
October 2025: The U.S. neural network market is projected to grow significantly, driven by substantial investments in AI research and development by major tech companies such as Google, IBM, and Nvidia. The government has also provided substantial funding and favorable policies supporting AI commercialization across sectors like healthcare, automotive, and defense.

April 2025: Companies in the USA are rapidly adopting neural networks for automation and predictive intelligence, catalyzed by advancements in GPU and cloud infrastructure reducing costs and enhancing scalability for AI applications.

Japan:
September 2025: The Japan Deep Learning market is projected to grow at a robust CAGR of 25%, supported by government initiatives like the AI Promotion Act launched in June 2025, fostering AI innovation and digital transformation across industries such as automotive, manufacturing, and healthcare.

August 2025: Japan's market for Artificial Neural Networks is expected to grow significantly from USD 8.34 billion in 2024 to USD 54.19 billion by 2035, fueled by strong industrial infrastructure, government R&D support, and increasing adoption of AI solutions for societal challenges including aging population and labor shortages.

Europe:
May 2025: Europe's Artificial Neural Network market is expanding due to growing adoption of AI and machine learning technologies in sectors like healthcare, automotive, and finance. Partnerships such as Google with Bayer (agriculture) and Microsoft with Volkswagen (autonomous driving) highlight this trend.

October 2025: The launch of Project SpikeHERO aims to enhance Europe's digital infrastructure through advanced AI chips targeted at fiber optic networks, consolidating technological leadership and supporting large-scale AI deployments.

Speak to Our Analyst and Get Customization in the report as per your requirements: https://datamintelligence.com/customize/artificial-neural-networks-market?sz

Major Key Players:

Cisco Systems Inc.
IBM Corporation
Microsoft Corporation
SAS Institute Inc.
Oracle Corporation
Splunk Inc.
Riverbed Technology Inc.
NetScout Systems Inc.
Ixia
SolarWinds Inc.

Key Growth Drivers:

Growing demand for artificial intelligence (AI) and advanced analytics, driven by the need to process vast amounts of complex data for insights, automation, and decision-making across industries.

Significant advancements in computational power, including the development of specialized hardware like GPUs and TPUs, which accelerate the training and deployment of complex neural network models.

Increasing adoption of ANN technologies across diverse sectors such as healthcare, finance, manufacturing, autonomous systems, and cloud computing platforms, fueled by escalating data volumes and the need for intelligent data processing.

Segments Covered in the Artificial Neural Networks Market:

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.

Regional Analysis:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

Looking For Full Report? Get it Here: https://www.datamintelligence.com/buy-now-page?report=artificial-neural-networks-market

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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People Also Ask:

◆ How big is the Artificial Neural Networks Market in 2025?
◆ What is the projected growth rate of the Artificial Neural Networks Market through 2033?
◆ Who are the key players in the Artificial Neural Networks Market?
◆ Which region is expected to dominate the industry during the forecast period?

Contact Us -
Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
Phone: +1 877 441 4866
Website: https://www.datamintelligence.com

About Us -
DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.
Our research database features countless statistics and in-depth analyses across a wide range of 6300+ reports in 40+ domains creating business solutions for more than 200+ companies across 50+ countries; catering to the key business research needs that influence the growth trajectory of our vast clientele.

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