The neural network software market is segmented by software type, end user, and region. The neural network software type market type is primarily dominated by analytical software. However, data mining and archiving is expected to be the fastest growing software type in the coming years. This growth rate is mainly attributed to the growing amount of unorganized and spatial data, and the growing need to classify and cluster this data in order to perform predictive and analytical operations.

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The Banking, Financial Services, and Insurance (BFSI) sector recorded the largest market share in terms of neural network software implementation, owing to the large number of application areas in the vertical and the growing necessity to classify the data. For instance, the insights coming from analytical tools allow organizations to understand their customers and empower their workforce. Thus, with the help of these predictive analytical tools, banks and financial institutions can track and monitor the risk of different transactions of their customers. The report also comprises key used cases for the varied end-use verticals.

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The prominent players in the artificial neural network ecosystem are Google
Inc. (California, U.S.), IBM Corporation (New York, U.S.), Microsoft Corporation (Washington DC, U.S.), Intel Corporation (California, U.S.), Oracle Corporation (California, U.S.), SAP SE (Waldorf, Germany), and Qualcomm Technologies Inc. (California, U.S.). The key innovators concentrating mainly on neural network software include Alyuda Research LLC (California, U.S.), Neural Technologies Ltd. (England, U.K.), Ward Systems Group Inc. (Maryland U.S.), Afiniti (Washington DC, U.S.), GMDH LLC (New York, U.S.), Starmind International AG (Küsnacht, Switzerland), Neuralware (Pennsylvania, U.S.), Slagkryssaren AB (Stockholm, Sweden), AND Corporation (Ontario, Canada), and Swiftkey (London, U.K.).

North America is expected to hold the largest market share and dominate the neural network software market due to the presence of a large number enterprises deploying neural network technologies, along with technological advanced scenarios. However, Middle East and Africa (MEA) offers the potential growth opportunities for the neural network software market to emerge over the coming years. The key factors driving the growth rate in the MEA region include increasing technological implementations and rising smart city investments.

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