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    Artificial Neural Network Market

    ID: MRFR/ICT/4826-HCR
    100 Pages
    Shubham Munde
    October 2025

    Artificial Neural Network Market Research Report Information By Type (Feedback Artificial Neural Network, Feedforward Artificial Neural Network, Other), Component (Software, Services, Other), Application (Drug Development, Others) – Forecast Till 2035

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    Artificial Neural Network Market Summary

    The Global Artificial Neural Network Market is projected to grow from 146.2 USD Billion in 2024 to 988.3 USD Billion by 2035.

    Key Market Trends & Highlights

    Artificial Neural Network Key Trends and Highlights

    • The market is expected to experience a compound annual growth rate (CAGR) of 18.97 percent from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 988.3 USD Billion, indicating substantial growth potential.
    • In 2024, the market is valued at 146.2 USD Billion, reflecting the increasing interest in artificial intelligence technologies.
    • Growing adoption of artificial neural networks due to advancements in machine learning is a major market driver.

    Market Size & Forecast

    2024 Market Size 146.2 (USD Billion)
    2035 Market Size 988.3 (USD Billion)
    CAGR (2025-2035) 18.97%

    Major Players

    Neural Technologies Limited, IBM Corporation, Neuro Dimension, Inc., Alyuda Research, SAP SE, Microsoft Corporation, Swift Key, Starmind International AG, Afiniti, Ward Systems Group, Inc., Google Inc., Neuralware, Intel Corporation, Qualcomm Technologies, Inc., Oracle Corporation

    Artificial Neural Network Market Trends

    This report highlights the growth aspects of the global Market Growth Analysis. Along with that, this report also intends to put up the competitive landscape and recent developments on the table to explain this global Market Analysis.

    The ongoing advancements in artificial intelligence technologies are likely to drive the adoption of artificial neural networks across various sectors, enhancing efficiency and innovation.

    U.S. Department of Commerce

    Artificial Neural Network Market Drivers

    Growing Data Availability

    The exponential growth of data generated across various sectors is a crucial driver for the Global Artificial Neural Network Market Industry. With the proliferation of IoT devices and digital platforms, organizations are inundated with vast amounts of data that require sophisticated analysis. Neural networks excel in processing and extracting insights from this data, enabling businesses to make informed decisions. The increasing emphasis on data-driven strategies is likely to bolster the market, as companies seek to leverage AI capabilities to enhance their operations and customer experiences.

    Market Growth Projections

    The Global Artificial Neural Network Market Industry is projected to experience substantial growth in the coming years. The market is expected to reach a value of 146.2 USD Billion in 2024, with a remarkable compound annual growth rate of 18.97% anticipated from 2025 to 2035. By 2035, the market could potentially reach 988.3 USD Billion, reflecting the increasing adoption of neural network technologies across various sectors. This growth trajectory underscores the transformative impact of artificial intelligence on industries worldwide.

    Advancements in Computing Power

    Advancements in computing power, particularly through the development of GPUs and TPUs, are propelling the Global Artificial Neural Network Market Industry forward. These technologies enable the processing of vast datasets, which is essential for training complex neural networks. As computational capabilities expand, organizations can deploy more sophisticated AI models, leading to improved performance and accuracy. This trend is likely to sustain the market's growth trajectory, with an anticipated compound annual growth rate of 18.97% from 2025 to 2035, ultimately reaching a market size of 988.3 USD Billion by 2035.

    Rising Demand for AI Applications

    The increasing demand for artificial intelligence applications across various sectors is a primary driver for the Global Artificial Neural Network Market Industry. Industries such as healthcare, finance, and automotive are integrating AI solutions to enhance operational efficiency and decision-making processes. For instance, in healthcare, neural networks are utilized for predictive analytics and personalized medicine, which significantly improves patient outcomes. This trend is expected to contribute to the market's growth, with projections indicating a market value of 146.2 USD Billion in 2024, reflecting the escalating reliance on AI technologies.

    Regulatory Support for AI Initiatives

    Regulatory support for artificial intelligence initiatives is emerging as a significant driver for the Global Artificial Neural Network Market Industry. Governments worldwide are recognizing the potential of AI technologies to drive economic growth and innovation. Policies promoting AI research, development, and implementation are being established, creating a conducive environment for market expansion. This regulatory backing not only encourages investment but also fosters collaboration between public and private sectors, facilitating the development of ethical and responsible AI solutions. Such initiatives are expected to enhance the market's growth prospects.

    Increased Investment in Research and Development

    Increased investment in research and development is significantly influencing the Global Artificial Neural Network Market Industry. Governments and private entities are allocating substantial resources to explore innovative applications of neural networks. For example, initiatives in smart city projects and autonomous vehicles are driving R&D efforts, fostering collaboration between academia and industry. This investment not only accelerates technological advancements but also enhances the competitive landscape, as organizations strive to develop cutting-edge solutions. As a result, the market is poised for robust growth, reflecting the commitment to advancing AI technologies.

    Key Companies in the Artificial Neural Network Market market include

    Industry Developments

    January 2024- The start of distribution of the new FSD Beta v12 upgrade to customers by Tesla marks a critical time for the company to execute its goals of self-driving technology. FSD Beta v12 augments the once FSD in urban areas by using a single neural which was trained using a vast collection of video clips. This new approach reduces the need to write 300000+ lines of C++ code by replacing it with a neural network approach.

    November 2023- Broadcom Inc introduced a new chip called Trident 5-X12 processor which is designed to use a programmed software that has a networking general neural mass traffic analyzer system embedded in it.

    As an example, in February 2023, the NPS joined forces with Qualcomm Technologies, Inc. to examine disruptive technologies that may be useful to the US Navy and US Marine Corps capabilities starting in the year 2023; that is a thing of the past.

    As an example, in May 2022, GE Healthcare began to introduce, across its product range, its deep learning imaging that reconstructs AI repro song DL solution as new additions with upgrades that were made along with new orders. This is a major milestone in the effort to popularize AI (Artificial Intelligence) and deep learning for healthcare and patients all over the world.

    Qualcomm’s AI engine can be upgraded by using Google cloud. Vertex AI by searching based on a neural architecture. Thus, Billingsley (2020) mentions that Qualcomm Technologies IoT Platforms and Google Cloud, authority worked together to quicken the development of neural networks For Snapdragon Ride/XR and Google Cloud in November 2021. In simple words, it can be stated that Qualcomm nearly instantly adapts to changes and works accordingly to progress further forward.

    Royal Philips, for example, presented ground-breaking advancements supported by AI in magnetic resonance imaging in November 2021. Phillips developed a new MR portfolio of intelligent integrated solutions that allows faster MR exams, streamlined workflows, enhanced diagnostic quality, and accurate operational effectiveness and sustainability of radiology. During the period under consideration, a combination of such trends among industry players on a global and regional scale will significantly contribute to the positive trend in the market.

    Future Outlook

    Artificial Neural Network Market Future Outlook

    The Artificial Neural Network Market is projected to grow at an 18.97% CAGR from 2024 to 2035, driven by advancements in AI, increased data availability, and demand for automation.

    New opportunities lie in:

    • Develop specialized neural network solutions for healthcare diagnostics.
    • Invest in AI-driven customer service platforms utilizing neural networks.
    • Create partnerships with tech firms to enhance neural network applications in IoT.

    By 2035, the Artificial Neural Network Market is expected to be a pivotal sector, influencing various industries globally.

    Report Scope

    Report Attribute/Metric Details
      Market Size   USD 389 Billion By 2030
      CAGR   20.5% By 2030
      Base Year   2019
      Forecast Period   2022-2030
      Historical Data   2018
      Forecast Units   Value (USD Billion)
      Report Coverage   Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
      Segments Covered   Type, Component, and Application
      Geographies Covered   North America, Europe, Asia-Pacific, and Rest of the World (RoW)
      Key Vendors   Neural Technologies Limited, SwiftKey, Starmind International AG, Afiniti, Ward Systems Group, Inc., SAP SE, NeuroDimension, Inc., Alyuda Research, LLC, Google Inc., Neuralware, Qualcomm Technologies, Inc., Intel Corporation, Microsoft Corporation, IBM Corporation, and Oracle Corporation
      Key Market Opportunities   New product launches and R&D Amongst major Companies
      Key Market Drivers  Increasing adoption of the artificial neural networkIncreasing healthcare expenditureGrowing number of hospitalizationsIncreasing prevalence of chronic diseases

    Market Highlights

    Author
    Shubham Munde
    Research Analyst Level II

    With a technical background in information technology & semiconductors, Shubham has 4.5+ years of experience in market research and analytics with the tasks of data mining, analysis, and project execution. He is the POC for our clients, for their consulting projects running under the ICT/Semiconductor domain. Shubham holds a Bachelor’s in Information and Technology and a Master of Business Administration (MBA). Shubham has executed over 150 research projects for our clients under the brand name Market Research Future in the last 2 years. His core skill is building the research respondent relation for gathering the primary information from industry and market estimation for niche markets. He is having expertise in conducting secondary & primary research, market estimations, market projections, competitive analysis, analysing current market trends and market dynamics, deep-dive analysis on market scenarios, consumer behaviour, technological impact analysis, consulting, analytics, etc. He has worked on fortune 500 companies' syndicate and consulting projects along with several government projects. He has worked on the projects of top tech brands such as IBM, Google, Microsoft, AWS, Meta, Oracle, Cisco Systems, Samsung, Accenture, VMware, Schneider Electric, Dell, HP, Ericsson, and so many others. He has worked on Metaverse, Web 3.0, Zero-Trust security, cyber-security, blockchain, quantum computing, robotics, 5G technology, High-Performance computing, data centers, AI, automation, IT equipment, sensors, semiconductors, consumer electronics and so many tech domain projects.

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    FAQs

    How much is neural network worth?

    Artificial Neural Network Market to Reach up to US$ 389 billion by 2030 with a CAGR of 20.5% during the forecast period 2020-2030

    Who are the big players in neural networks?

    Major key players in the Artificial Neural Network market are Neural Technologies Limited, IBM Corporation, Neuro Dimension, Inc., Alyuda Research, and Microsoft Corporation

    Which factors may limit the Artificial Neural Network Market growth?

    Slow digitization may limit market growth.

    What are the major applications of Artificial Neural Network Market?

    It is widely used in drug development, bioelectric signal analysis & interpretation, and others.

    What are the different strategies used by market players to create a dominance in the Artificial Neural Network Market?

    Different strategies used by market players to create a dominance in the Artificial Neural Network Market include partnerships, collaborations, mergers, and product launches.

    Which region is expected to lead the Artificial Neural Network Market?

    The Americas is expected to lead the Artificial Neural Network Market.

    What are the key factors driving the Artificial Neural Network Market?

    Increasing healthcare expenditure and rising prevalence of chronic disease is boosting market growth.

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