Global Artificial Neural Network Market

Global Artificial Neural Network Market size was valued at USD 255.59 Mn. in 2023 and the total Artificial Neural Network revenue is expected to grow by 20.23 % from 2024 to 2030, reaching nearly USD 915.83 Mn.

Artificial Neural Network Market Overview:

An Artificial Neural Network is a piece of a computing system, which is designed to simulate how the human brain analyzes and processes information. The Artificial Neural Network is said to be the foundation of Artificial Intelligence and helps in solving problems that would be quite difficult to address by any normal human being. The Artificial Neural Networks are designed in a way like the human brain, with neuron nodes interconnected like a web. A typical Artificial Neural Network has thousands of artificial neurons called processing units that are interconnected by nodes. These processing units are made up of input and output units. The input units receive various forms and structures of information based on an internal weighting system and the neural network attempts to learn about the information presented to produce one output report. Well, just like humans need rules and regulations to come up with any result, so do the Artificial Neural Network, called backpropagation, for correcting their output results. Hence the demand for the Artificial Neural Network Market is increasing.

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Until today, Artificial Neural networks have been applied in all areas of operations. The artificial neural networks are being used by Email service providers for detecting and deleting spam files from the user’s inbox. They are used by asset managers to forecast the direction of a company’s stock. Various e-commerce sites use it to personalize recommendations for their users. The most basic example often observed around a Chatbot, which companies use on their websites for gathering various data and enriching their visitor’s experience.

The Artificial Neural Network Market is dominated by the North American region in 2023 and is expected to dominate during the forecast period. The key players in the market are Google LLC, Microsoft Corporation, IBM Corporation, Intel, Qualcomm, Ward Systems, etc. focusing on technology services, software, hardware, etc. Several companies are integrating deep learning and Artificial Intelligence to increase the demand for the Artificial Neural Network Market.

Global Artificial Neural Network Market Dynamics:

Rapid Digitalization & Emergence of Big Data Analysis

Big Data is nothing but the large volume of data, whether structured or unstructured, that needs to be handled and that which is exponentially getting more on a day–to–day basis. It is an obvious fact that the amount of data is not a concern, but the analysis of the same for getting effective insights is. Handling and analyzing such a huge amount of data is just not possible for any normal human being, and to overcome this lack of ability by humans, the model of artificial neural networks was developed.

This model learns by itself and produces the desired output and the model is also capable of performing multiple tasks, without actually affecting the system performance. Therefore, the ease with which the model functions and helps in solving many big problems related to the data analysis is the core reason for the rising demand for such networks, and hence, the Artificial Neural Network Market is expected to further rise in the future times, with the technology growing at its peak.

Increasing Demand for ANN in several industries drives the Artificial Neural Network Market

The ANN is being utilized extensively for multinumerous end-use industries including financial services, medical, and others which in turn becomes an important source of revenue for the industries. Cognitive networks efficiently get rid of as many manual processes as possible in the financial institution’s functions, such as generalized debt risk assessment, checking for fraud, predictions of business failure, and others like Citigroup Inc. using a neural network for finding fraudulent transactions on credit cards precisely through a credit card. This neural net has been trained on a huge database that holds millions of transactions made by consumers during the past years. On the other hand, leveraging backpropagation to be able to train neural networks that forecast the future values of time series that consist of weekly or monthly sales at a supermarket.

ANN is used in image processing in many areas, such as the entertainment industry, mechanics, geology, industrial monitoring systems, the military, automobiles, and transportation. ANN image processing methods involve pre-processing, data compression, division of area of interest, and pattern recognition. Therefore the use of ANN helps to increase the demand for the Artificial Neural Network Market. It has been the go-to preparation for most companies who intend to make a machine with the capability to develop multiple solutions aimed at business growth and profitability. A case in point is Ward Systems Group Inc., which is a U.S. Company. They have used neural networks to construct a NeuroShell Predictor and NeuroShell Classifier.

The lack of skilled AI professionals and slower adoption hamper the market growth

A lack of intelligent AI professionals and slower adoption of neural networks for various AI applications in developing countries certainly serve some of the market restraint factors. There is a huge gap in terms of qualified professionals who are able to apply the right expertise in integrating ANN at a large scale in different industries. Data science and analytics also see their growth in developing countries. In contrast, the acceptance of AI across industries is slow. These components are limiting the revenue of the Artificial Neural Network Market by growth.

Global Artificial Neural Network Market Segment Analysis

The market is divided into 4 major segments and further into sub-segments to forecast the market size by value.

The Cloud Deployment Segment is expected to Witness the Highest market share during the forecast period.

With the rise in the development of many advanced technologies, almost all Artificial Neural Network systems use cloud-based services for their deployment. The reason is, cloud-based services help organizations cut down the costs of ownership, and in a way also increase the data storage capabilities. Moreover, the cloud-based service providers offer a usage-based service model, which in turn provides flexibility to the organizations for paying the service vendors only for the service being used at a particular time. The on-premise segment is expected to progress at a very promising pace in the forecast period. The demand for data that is security and reliability additive to the enterprise is boosting the market growth of artificial neural network solutions based on-premise.

The Data Mining Application Segment is expected to Witness the Highest market share during the forecast period.

Data Mining is the primary purpose for which the model of artificial neural networks was developed. Data mining is the process of knowledge discovery, by analyzing the data stored in very large repositories. Advancements in statistics, machine learning, artificial intelligence, pattern recognition, and computation capabilities are the various factors responsible for the spike of this segment, in the market of artificial neural networks, across the globe. Data mining users to make more well-versed decisions through neural networks. Business Tasks that are carried out by the ANNs with structured data. It ranges from tracking and documenting real-time communications to finding potential customers.

Artificial Neural Network Market Regional Insights:

North America is expected to dominate the Artificial Neural Networks market over the forecast period, due to the fast adoption of Artificial Intelligence Technologies by various organizations of the region. Furthermore, technological advancements, along with a rise in the need for intelligent business processes are fueling the growth of the Artificial Neural Network Market in the region. This growth resulted from an increased emphasis of industry on regulatory compliance to protect sensitive data. In this segment, customized solutions dedicated to regulatory compliance initiatives concerning data privacy and security take an edge, propelling the artificial neural network market growth.

The Asia Pacific Artificial Neural Networks market is expected to grow immensely during the forecast period. The increased activities of governments globally promoting the quick adoption of advanced technologies, in the respective countries of the region. AI is country-specific in its rate of integration which is the case with India, China, and many others investing heavily in AI promotion in various industries. Whereas Europe is gaining popularity for the Artificial Neural Network Market.

Competitive Landscape:

The chief competitors for Google are search engines such as Bing belonging to Microsoft and Yahoo. In the cloud market, in which Google Cloud Platform competes with AWS from Amazon and Azure of Microsoft, there are three leaders. Microsoft Corporation, which is based in the United States, functions in the realm of software, hardware, and cloud computing services that have to compete with several others in its niche. In the realm of operating systems, Windows made by Microsoft and Mac made by Apple and different distributions of Linux are the competitors. IBM as a big player in the IT services industry has competitors such as Accenture, Deloitte, and Infosys. IBM's software products, such as Watson AI and IBM Cloud Paks, are rivaled by-products from Oracle, SAP, and Microsoft. Intel has several competitors in its data center solutions fields, including NVIDIA, AMD, and Qualcomm, supplying different kinds of CPU, GPU, and other specialized processor for data-driven applications. Qualcomm, a U.S.-based company, is active in a market of mobile and wireless suppliers dedicated to the production of the latest technologies. Ward System Corporation, situated in the USA, tackles the sophisticated software arena, it comes up with innovative products along the data mining and predictive analytics prospects. Neuroshell Predictor, the most prominent Wards Systems product, takes the field against such competitors as IBM SPSS Modeler, SAS Enterprise Miner, and RapidMiner.

PORTER, PESTEL analysis with the potential impact of micro-economic factors of the market has been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which gives a clear futuristic view of the industry to the decision-makers.

The reports also help in understanding the Global Artificial Neural Network Market dynamic, and structure by analyzing the market segments and projecting the Global Artificial Neural Network Market size. Clear representation of competitive analysis of key players By Price Range, price, financial position, product portfolio, growth strategies, and regional presence in the Global Artificial Neural Network Market make the report an investor’s guide.

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Global Artificial Neural Network Market, by Region

North America (United States, Canada and Mexico)
Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and Rest of Europe)
Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and Rest of APAC)
Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A)
South America (Brazil, Argentina Rest of South America)

Global Artificial Neural Network Market, Key Players are

Artificial Neural Network Market Key Players for North America

1. Google LLC - United States
2. Microsoft Corporation - United States
3. IBM Corporation - United States
4. Intel - United States
5. Qualcomm - United States
6. Ward Systems - United States
7. GMDH LLC - United States
8. NeuralWare - United States
9. Neurala - United States
10. Clarifai - United States
11. Afiniti - United States
12. Alyuda Research LLC - United States
13. Oracle Corporation - United States
14. OLSOFT LLC - United States
15. NeuroDimension, Inc. - United States

Artificial Neural Network Market Key Players for Europe

1. Starmind - Switzerland
2. SwiftKey - United Kingdom
3. SAP SE - Germany

Frequently Asked Questions:
1. Which region has the largest share in the Global Artificial Neural Network Market?
Ans: The North American region held the highest share in 2023.

2. What is the growth rate of the Global Artificial Neural Network Market?
Ans: The Global Market is expected to grow at a CAGR of 20 % during the forecast period 2024-2030.

3. What is the scope of the Global Artificial Neural Network Market report?
Ans: The Global Artificial Neural Network Market report helps with the PESTEL, PORTER, Recommendations for Investors & Leaders, and market estimation of the forecast period.

4. Who are the key players in the Global Artificial Neural Network Market?
Ans: The important key players in the Global Artificial Neural Network Market are – Google LLC, Microsoft Corporation, IBM Corporation, Intel, Qualcomm

5. What is the study period of this market?
Ans: The Global Artificial Neural Network Market is studied from 2023 to 2030.