Artificial Neural Network Market By Component (Solution, Services), By Deployment Mode (On-premise, Cloud), By Enterprise Size (Large Enterprises, SMEs), By Industry (Healthcare, BFSI, Retail and E-Commerce, Manufacturing, Automotive, Others): Global Oppo

Artificial Neural Network Market By Component (Solution, Services), By Deployment Mode (On-premise, Cloud), By Enterprise Size (Large Enterprises, SMEs), By Industry (Healthcare, BFSI, Retail and E-Commerce, Manufacturing, Automotive, Others): Global Opportunity Analysis and Industry Forecast, 2023-2032

Artificial neural networks contain artificial neurons which are called units. These units are arranged in a series of layers that together constitute the whole artificial neural network in a system. A layer can have only a dozen units or millions of units as this depends on how the complex neural networks will be required to learn the hidden patterns in the dataset.  

The report covers the study of the artificial neural network market along with its component, deployment mode, enterprise size, and industry. The research involves a study of artificial neural network solutions, which includes revenue realized from the sale of commercial licenses as well as revenue realized from the upgrade charges of open-source artificial neural network solutions. The applications of the artificial neural network solutions considered in the report are image recognition, fraud detection, and data mining processes.  

Furthermore, the market is profoundly influenced by considerable expenses related to artificial neural network solutions and services. Primarily, these expenses can serve as a deterrent for smaller and medium-sized enterprises (SMEs) with constrained budgets. SMEs may perceive artificial neural networks as a financial burden, leading to insufficient investment in these solutions. In addition, even larger organizations may exhibit hesitation in allocating substantial resources to artificial neural network solutions, particularly when faced with competing budgetary demands. Moreover, excessive costs associated with artificial neural network solutions may hinder the adoption of global market in industries or regions where there is limited awareness of its benefits.

Furthermore, The notable factors positively affecting the artificial neural network market include the growing demand for AI-based solutions and the rising need for intelligent business processes. However, a lack of computational resources and a skilled workforce with expertise in artificial neural network (ANN) can hinder market growth. Furthermore, advancements in big data analytics and the availability of high-performance computing systems offer lucrative market opportunities for the market players. 

The global artificial neural network market is segmented on the basis of component, deployment mode, enterprise size, industry, and region. By component, it is categorized into solution and services. On the basis of deployment mode, it is divided into on-premise and cloud. As per enterprise size, it is segmented into large enterprises and small and medium-sized enterprises. Depending on industry, it is categorized into healthcare, BFSI, retail and e-commerce, manufacturing, automotive, and others. Region wise, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The market players operating in the global Artificial neural network market. This report further outlines the current trends and key areas of investment. In addition, it includes Porter’s five forces analysis to understand the competitive scenario of the industry and role of each stakeholder. The report features the strategies adopted by key market players to maintain their foothold in the market. Furthermore, it highlights the competitive landscape of key market players to increase their market share and sustain intense competition in the industry. The key players operating in the market include Amazon Web Services Inc., Google Inc., Hewlett Packard Enterprise Development LP, IBM Corporation, Intel Corporation, Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, Qualcomm Technologies Inc. and Salesforce Inc.    

Key Benefits For Stakeholders

This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the artificial neural network market analysis from 2022 to 2032 to identify the prevailing artificial neural network market opportunities.
The market research is offered along with information related to key drivers, restraints, and opportunities.
Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
In-depth analysis of the artificial neural network market segmentation assists to determine the prevailing market opportunities.
Major countries in each region are mapped according to their revenue contribution to the global market.
Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
The report includes the analysis of the regional as well as global artificial neural network market trends, key players, market segments, application areas, and market growth strategies.

Key Market Segments

By Component

Solution
Services

By Deployment Mode

On-premise
Cloud

By Enterprise Size

Large Enterprises
SMEs

By Industry

Healthcare
BFSI
Retail and E-Commerce
Manufacturing
Automotive
Others

By Region

North America
U.S.
Canada
Europe
UK
Germany
France
Italy
Spain
Rest of Europe
Asia-Pacific
China
India
Japan
Australia
South Korea
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa

Key Market Players

Google Inc.
IBM Corporation
Intel Corporation
Microsoft Corporation
Oracle Corporation
Qualcomm Technologies Inc.
Amazon Web Services Inc.
Hewlett Packard Enterprise Development LP
NVIDIA Corporation
Salesforce Inc.,

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