Artificial Neural Network Market Report 2025

This Artificial Neural Network market report delivers an in-depth analysis of the market’s key characteristics, including size, growth potential, and segmentation. It provides a detailed breakdown of the market across major regions and leading countries, highlighting historical data and future growth projections. The report also examines the competitive landscape, market share insights, emerging trends, and strategic developments shaping the market.

The artificial neural network market size has grown rapidly in recent years. It will grow from $0.49 billion in 2024 to $0.58 billion in 2025 at a compound annual growth rate (CAGR) of 17.80%. The growth observed during the historic period can be attributed to factors such as the rise in cyberattacks, growing demand for AI and automation, the expansion of self-sustained systems, increased adoption of the Internet of Things (IoT), and a greater shift toward cloud adoption.

The artificial neural network market size is expected to see rapid growth in the next few years. It will grow to $1.11 billion in 2029 at a compound annual growth rate (CAGR) of 17.44%. In the forecast period, growth is expected to be driven by factors such as the rising demand for artificial intelligence (AI) across various industries, growing demand for cloud-based services, increased use of voice assistants and conversational AI, expanding applications in drug discovery and healthcare, and the growing volume of big data. Key trends in the forecast period include advancements in machine learning and neural networks, integration with big data and analytics, connectivity with IoT and edge computing, hybrid cloud and edge integration, and the integration of 5G networks.

The growing demand for cloud-based solutions is anticipated to drive the expansion of the artificial neural network (ANN) market. Cloud-based solutions are services or applications that run on remote servers accessed through the internet rather than being hosted on local servers or devices. The increasing adoption of cloud services is driven by their scalability, cost-effectiveness, improved data accessibility, and support for remote collaboration, which align with the changing needs of modern businesses. Artificial neural networks enhance these cloud-based solutions by providing advanced data processing, predictive analytics, and intelligent decision-making capabilities to improve performance and scalability. For example, in December 2023, Eurostat, a government agency in Luxembourg, reported a 4.2 percentage point increase in the number of enterprises purchasing cloud computing services in 2023 compared to 2021. As a result, the growing demand for cloud-based solutions is contributing to the growth of the ANN market.

Key players in the artificial neural network market are focusing on the development of innovative platforms, such as AI-based networking platforms, to boost data processing capabilities, enhance predictive analytics, and optimize machine learning models. These platforms enable more efficient and scalable solutions across sectors such as healthcare, finance, and automotive. AI-based networking platforms are advanced systems that combine artificial intelligence with networking technologies to optimize data flow, improve network management, and enhance overall performance. For instance, in February 2022, the International Telecommunication Union, a Switzerland-based specialized agency, launched the AI for Good neural network platform to promote sustainable development through artificial intelligence. This platform uses advanced AI algorithms to address global challenges such as climate change, poverty, and health disparities. It processes and analyzes large datasets from various sources, providing valuable insights to help governments, organizations, and researchers make informed decisions. The platform also fosters collaboration, bringing together experts from multiple sectors to create scalable, innovative solutions that support the UN's Sustainable Development Goals (SDGs).

In February 2024, HTEC Group, a US-based digital product development and engineering services firm, acquired SYRMIA for an undisclosed amount. This acquisition allows HTEC to enhance its capabilities in artificial intelligence, machine learning, and embedded software engineering, enabling the company to offer more advanced and scalable solutions. SYRMIA LLC, a Serbia-based company, specializes in artificial neural networks and machine learning technologies in embedded software engineering.

Major players in the artificial neural network market are Google Inc., Microsoft Corporation, Amazon Web Services Inc., Intel Corporation, IBM Corporation, Qualcomm Technologies Inc., Oracle Corporation, SAP SE, Hewlett Packard Enterprise Development LP, NVIDIA Corporation, Salesforce Inc., Rockwell Automation Inc., OpenAI Inc., H2O.ai Inc., Anaconda Inc., Clarifai Inc., Neurala Inc., Ward Systems Group, BrainChip Holdings Ltd., NeuroDimension Inc.

North America was the largest region in the artificial neural network market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial neural network report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the artificial neural network market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

An artificial neural network (ANN) is a machine learning architecture designed to imitate the structure of the human brain to process data and identify patterns. It consists of interconnected nodes arranged in layers, including input, hidden, and output layers, that work together to convert input data into meaningful outputs via weighted connections.

The main components of an artificial neural network include solutions, platform or application programming interfaces (APIs), and services. Solutions refer to complete systems or software that deploy artificial neural networks to address specific business challenges, such as predictive analytics or automated decision-making. The deployment modes are on-premises and cloud, and are used by various enterprises, including large enterprises and small to medium-sized businesses. Key applications of ANN include image recognition, signal recognition, and data mining, and these are used by end users across industries such as banking, financial services and insurance (BFSI), retail and e-commerce, IT and telecom, manufacturing, healthcare, and automotive.

The artificial neural network market research report is one of a series of new reports that provides artificial neural network market statistics, including the artificial neural network industry global market size, regional shares, competitors with the artificial neural network market share, detailed artificial neural network market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial neural network industry. This artificial neural network market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The artificial neural network market consists of revenues earned by entities by providing services such as integration and deployment services, educational and training services, and model maintenance and optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial neural network market also includes sales of ANN software platforms, pre-trained models, and hardware components. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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