Artificial Neural Network Market Analysis by Emergen Research: Estimated Worth of USD 743.0 Million by 2030, with a CAGR of 18.7%

The Latest research study released by Emergen Research on "Artificial Neural Network Market" with 150+ pages of analysis on business Strategy taken up by key and emerging industry players and delivers know how of the current market development, landscape, technologies, drivers, opportunities, market viewpoint and status. Generally speaking, the research is gathered from manufacturers, vendors, research papers, product catalogues, and other sources before being further confirmed. In terms of market prediction, industry segmentation, business models, and other criteria, the analysis includes both quantitative and qualitative research. Other elements that define the Artificial Neural Network Market industry, such as the competitive landscape, important players, and relevant market strategies and revenue development, are also incorporated in studies to further retain their strategic worth.

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The global Artificial Neural Network (ANN) market size was USD 160.8 Million in 2021 and register a revenue CAGR of 18.7% over the forecast period, according to a latest analysis by Emergen Research. The growing popularity of image processing and character recognition and increasing demand for ANN in various end-use industries such as BFSI, medical, and others are key factors driving revenue growth of the global Artificial Neural Network market.

List of Key Players Profiled in the Artificial Neural Network Market Report:

Google LLC, International Business Machines Corporation, Oracle Corporation, Microsoft Corporation, Intel Corporation, Qualcomm Technologies, Inc., Alyuda Research, LLC., Ward Systems Group, Inc., Starmind, and Clarifai Inc

Target Audience of the Global Artificial Neural Network Market Report:

• Key Market Players.
• Investors.
• Venture capitalists.
• Small- and medium-sized and large enterprises.
• Third-party knowledge providers.
• Value-Added Resellers (VARs).
• Global market producers, distributors, traders, and suppliers.
• Research organizations, consulting companies, and various alliances interested in this sector.
• Government bodies, independent regulatory authorities, and policymakers.

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Market Segmentation Analysis

Players can concentrate on high-growth regions and, if necessary, modify their business plan according to the research report. The Artificial Neural Network Market is divided into a variety of categories, uses, and geographical areas. Players gain from the report's regional segmentation research since it offers pertinent data and insights into important geographic marketplaces.

Offering Outlook (Revenue, USD Million, 2019-2030)

• Software
• Services

Deployment Outlook (Revenue, USD Million, 2019-2030)

• On-Premise
• On-Cloud

COVID-19 Impact Analysis

The post-COVID-19 phase has undergone substantial change, and Artificial Neural Network Market research highlights the opportunities and difficulties that still exist. This study report thoroughly examines the effects of the COVID-19 pandemic on the global economy and post-pandemic market behaviour.

Objectives of the Report

-To carefully analyze and forecast the size of the Artificial Neural Network Market by value and volume.

-To estimate the market shares of major segments of the Artificial Neural Network Market

-To showcase the development of the Artificial Neural Network Market in different parts of the world.

-To analyze and study micro-markets in terms of their contributions to the Artificial Neural Network Market, their prospects, and individual growth trends.

-To offer precise and useful details about factors affecting the growth of the Artificial Neural Network Market

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Some Key Highlights from the Report

• On 4 August 2021, Microsoft Corporation announced that a neural network has been developed by its researchers with 135 billion parameters and deployed in Bing to improve search results for users. The neural network is described as the largest universal AI that the company has run in production and is one of the most sophisticated AI models ever detailed publicly It evaluates the search terms that users submit to the business's Bing search engine and assists in locating the websites that are most pertinent to their queries.
• The solution segment is expected to register a rapid growth rate over the forecast period due to higher accuracy and sophisticated algorithms to perform certain tasks such as speech recognition and image classification. In addition, the growing adoption of AI solutions by various end-use industries is expected to boost revenue growth of the market.
• The on-cloud segment revenue accounted for the largest share in 2021 due to the presence of eminent cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform that provide machine learning solutions and AI tools, which simplify the work of data scientists and ML engineers.

Regional Outlook

We carefully examined each division, regional classification, national study, and subject-specific data set during the market research. This Artificial Neural Network Market research report's goal is to look at growth patterns, promising futures, important obstacles, and expected results. Information on significant market participants, strategic alliances, plans, new product launches, and joint ventures are all included in the research.

Key questions answered in this report:

• What is the size of the Artificial Neural Network Market and what is its expected growth rate?
• What are the primary driving factors that push the Artificial Neural Network Market forward?
• What are the Artificial Neural Network Market Industry's top companies?
• What will be the fastest-growing segment or region?
• In the value chain, what role do essential players play?
• What is the procedure for getting a free copy of the Artificial Neural Network Market sample report and company profiles?

Key Offerings:

• Market Share, Size & Forecast by Revenue | 2023−2032.
• Market Dynamics – Growth Drivers, Restraints, Investment Opportunities, and Leading Trends
• Market Segmentation – A detailed analysis by Types of Services, by End-User Services, and by regions
• Competitive Landscape – Top Key Vendors and Other Prominent Vendors

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