Artificial Neural Network (ANN) Market 2021 Industry Recent Developments and Latest Technology, Global Growth, Supply Demand Scenario & Forecast Research Report 2026
This can be attributed to the increasing need to train huge volumes of data. In addition, the growing need to find patterns and get insights from unstructured data is also boosting the global artificial neural network (ANN) market growth.
Dallas, United States – April 30, 2021 /MarketersMedia/ —
The global artificial neural network (ANN) market size is anticipated to reach USD 325 million by 2025. In addition, it is expected to exhibit a CAGR of over 18% during the forecast period 2018-2025. The artificial neural network is basically about the speed of neural networks, enhanced processing power, and learning ability. Inspired by the biological nervous system of the human brain, artificial neural networks process information based on experiences and repeated commands or tasks.
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The artificial intelligence and machine learning technologies have disrupted and constantly bringing revolutions to numerous industries such as retail, manufacturing, healthcare, BFSI, IT & Telecom, and others. For example, based on the deep learning method autonomous cars are being developed, retail and other sectors are using this technology to forecast consumers’ behavior and develop numerous business strategies. Moreover, several industry players are adopting this technology to reduce healthcare expenditure. Therefore, such a factor combined driving the demand for artificial neural network market growth globally.
Extending rise and usage of smart phones across the vast majority of the countries, rising openness of web across a huge part of the regions, growing adoption of new advancements among people, improvement of 5G structures, as well as high optional income of people are the essential issue stimulating the improvement of global artificial neural network (ANN) market all through the following not many years. Further, advancement of cloud development for limit of data is setting out open entryways for the business improvement. Further, appointment and fuse of IoT and sensor headways in various regions to improve the success of purchasers is furthermore adding to the global artificial neural network (ANN) market advancement recently. Expanding strain to build the profit from speculations and utilizing the gathered information utilizing AI and different innovations is adding to the business development.
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Further, creating imaginative types of progress and gathering of latest headways by a couple of associations for offering latest and most worthwhile products and organizations to people is driving the market improvement over the figure time period. Several measures taken by the associations for offering these advancements at a more affordable cost, is also filling the market improvement in various regions. In any case, rising inescapability of COVID-19 pandemic upheld far off work space or representatives and caused ephemeral closure of work environments and associations. Further, rise in the amount of data that is generated everyday and complex handling of the data requires a well operated system, that is likely to fuel the growth of global artificial neural network (ANN) market over the analysis time frame.
Notwithstanding, rising security and insurance concerns related with the dispersed figuring applications likewise growing cases of computerized attacks are the main issue that are presumably going to hamper the advancement of global artificial neural network (ANN) market in coming years. Regardless, extending measures against computerized attacks and flooding spending by the relationship for better security of tasks and assessment of threat are actuating the improvement of global artificial neural network (ANN) market over the figure time period.
The Asia-Pacific region is projected to experience the highest growth throughout the forecast period. The market growth in this region is mainly attributed to strict government regulations however During the forecast period, it is expected that the North American region will dominate the overall market. The dominance of this region is mainly attributed to the on-going research and developments on deep learning and neural networks by various industry players in this region.
The major players of the global artificial neural network (ANN) market are Qualcomm, Starmind International, Google, Microsoft, IBM, Intel, GMDH, Alyuda, Oracle, and Ward Systems. Moreover, the other prospective players in the artificial neural network (ANN) market are Clarifai, Neurala, NeuralWare, Afiniti, and NeuroDimension. The recognized companies are coming up with innovative and new artificial neural network (ANN) Platforms. The recognized companies are coming up with innovative and new artificial neural network platforms and solutions. The artificial neural network market comprises well established local as well as global players. In addition, the already recognized market players are coming up with new innovative services and solutions to stay competitive in the global market.
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Segment Overview of Global Artificial Neural Network (ANN) Market
Component Overview, 2018-2025 (USD Million)
Platform
Services
Application Overview, 2018-2025 (USD Million)
Signal Recognition
Data Mining
Image Recognition
Others
Industry Vertical Overview, 2018-2025 (USD Million)
BFSI
IT & Telecom
Healthcare
Retail
Manufacturing
Others
Regional Overview, 2018-2025 (USD Billion)
North America
U.S.
Canada
Europe
UK
Germany
France
Rest of Europe
Asia Pacific
China
Japan
India
Rest of Asia-Pacific
Middle East and Africa
UAE
South Africa
Rest of Middle East and Africa
South America
Brazil
Rest of South America
Table Of Contents:
Chapter 1 Introduction
Chapter 2 Research Methodology
Chapter 3 Executive Summary
Chapter 4 Market Outlook
Chapter 5 Artificial Neural Network (ANN) Market by Component
Chapter 6 Artificial Neural Network (ANN) Market by Application
Chapter 7 Artificial Neural Network (ANN) Market by Industry Vertical
Chapter 8 Artificial Neural Network (ANN) Market By Region
Chapter 9 Competitive Landscape
Chapter 10 Company Profiles
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