Scope of the Study
Artificial neural networks are the computing systems which is vaguely inspired by the biological neural networks that constitute animal brains. These systems learn to perform tasks by considering examples, generally without being programmed with task-specific rules. For instance, in image recognition, they might learn to identify images that contain cats by analysing example images that have been manually labelled as "cat" or "no cat" and using the results to identify cats in other images. Moreover, the artificial neural networks is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain.
The market study is being classified, by Application (Image Recognition, Signal Recognition, Data Mining and Others) and major geographies with country level break-up.
Google (United States), IBM (United States), Oracle (United States), Microsoft (United States), Intel (United States), Qualcomm (United States), Alyuda (United States), Ward Systems (United States), GMDH, LLC (United States) and Starmind (Switzerland) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are NeuralWare (United States), Neurala (United States) and Clarifai (United States).
The companies are now exploring the market by adopting mergers & acquisitions, expansions, investments, new developments in existing products and collaborations as their preferred strategies. The players are also exploring new geographies and industries through expansions and acquisitions so as to avail a competitive advantage through combined synergies. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Artificial Neural Network market throughout the predicted period.
AdvanceMarketAnalytics has segmented the market of Global Artificial Neural Network market by Type, Application and Region.
On the basis of geography, the market of Artificial Neural Network has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.
- Increasing Usage of Emerging Technologies to Detect Nonlinear Relationships
- Rising Demand of Active Data Mining
- Technological Advancements is Boosting the Market
- Difficult Tracking of Outcome of in Process Stages
- Investments by Public and Private Sectors for Enhancement of Business Solutions
- Increasing Demand to Detect Complex Nonlinear Relationships Between Variables and Recognise Patterns in Big Data
- Extrapolation Issues in Ann Being a Drawback
Market Leaders and their expansionary development strategies
On January 2020, Google has acquired Appsheet which is the intelligent no-code platform for business apps.
In August 2019, IBM has announced the first release of Python SDK and Node.js SDK for interacting with IBMís Cloud Security Advisor service findings Application Program Interface (API) to accelerate the customersí platform integration with the service
Key Target AudienceSoftware developers, Government associations, Research organisations, software vendors and Others
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Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
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