2025 Market Reports Update: Market Size Forecasts to 2034, Key Trends, Leading Players, and Top Regions – Get Ahead of the Competition Today!

Which Primary Drivers Are Supporting the Continued Market Growth of theNeural Network Software Market?

The neural network software market is predicted to grow due to the increasing uptake of digitalization. Digitalization encompasses the transformation of physical paper records into their digital counterparts. As digitalization becomes prevalent across various companies and industries, it generates vast amounts of data. The surge in accessible, significant data and the advancement of high-output computing systems have allowed neural network software to be more commonly utilized. For instance, in December 2022, a report by the Digital Economy and Society Index (DESI) – an annual composite index by the European Commission assessing Europe’s digital performance – showed that 55% of small and medium enterprises (SMEs) demonstrated a moderate level of digital skills in their operations, and 38% used electronic platforms for information sharing. Thus, this escalating demand for digitalization is fueling the expansion of the neural network software market.

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How Will the Growth Rate of theNeural Network Software Market Impact Industry Trends by 2034?

The market size of neural network software has experienced tremendous expansion in recent phases. It is projected to expand from a value of $33.19 billion in 2024 to $41.47 billion in 2025, showcasing a compound annual growth rate (CAGR) of 25.0%. Factors like the rise in big data analytics, evolution of artificial intelligence (AI), enhanced awareness and education, technological advancements in hardware, the development of deep learning, and industry-specific applications have all contributed to its growth during the historic period.

Over the coming years, the neural network software market is projected to experience a remarkable surge, increasing to “$106.03 billion in 2029 with a compound annual growth rate (CAGR) of 26.5%. The expansion during the predicted timeframe is credited to factors such as the integration of edge computing, the widespread growth of IoT, the development of explainable AI (XAI), the broadening of autonomous systems, and ongoing model enhancements. During the said period, significant trends like the rapid expansion of deep learning, automatization of machine learning (AutoML), transfer learning and pre-crafted models, advancements in natural language processing (NLP), and variety in neural network structures are also anticipated.

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How Are Consumer Market Innovations Shaping the Current and Future Landscape of theNeural Network Software Market?

Progress in technology is playing a crucial role in bolstering the popularity of the neural network software market trend. Market beneficiaries are embracing newer technologies to maintain their market stance. To illustrate, Open AI, an American artificial intelligence research enterprise, introduced GPT-4 in March 2023. This model is founded on deep neural network architecture, dealing with image and text inputs to produce text outcomes. GPT-4’s performance is on par with humans in a range of academic and professional metrics. It has the added advantage of tackling unique and daunting issues across fields such as mathematics, coding, law, healthcare, psychology, etc.

Who Are the Key Market Players Influencing the Growth of the Corn and Neural Network Software Industry?

Major companies operating in the neural network software market include Google LLC, Microsoft Corporation, Intel Corporation, IBM Corporation, Alyuda Research LLC, Neural Technologies Limited, Starmind International AG, Ward Systems Group Inc., Afiniti Ltd., NVIDIA Corporation, Oracle Corporation, Qualcomm Technologies Inc., GMDH Inc., Amazon.com Inc., Meta Platforms Inc., Cognex Corporation, BrainChip Holdings Ltd., Skymind Inc., Sentient Technologies, Vicarious, General Vision Inc., Darktrace Limited, Ayasdi Inc., Numenta Inc., Preferred Networks Inc., AIBrain AB, Fluid AI Inc., Clarifai Inc., Squirrel AI Inc., Darwin AI

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Which Key Market Segments Comprise the Neural Network Software Market and Drive Its Revenue Growth?

The neural network software market covered in this report is segmented –

1) By Type: Data Mining And Archiving, Analytical Software, Optimization Software, Visualization Software, Other Types

2) By Component: Artificial Neural Network, Deep Neural Network, Services, Platform, Other Components

3) By End User: BFSI, Healthcare, Telecom And IT, Transportation, Other End Users

Subsegments:

1) By Data Mining and Archiving: Data Preparation Tools, Data Warehousing Solutions, ETL (Extract, Transform, Load) Tools

2) By Analytical Software: Predictive Analytics Tools, Statistical Analysis Software, Machine Learning Platforms

3) By Optimization Software: Linear Programming Tools, Constraint Programming Tools, Heuristic And Metaheuristic Algorithms

4) By Visualization Software: Dashboard And Reporting Tools, Data Visualization Platforms, Geographic Information Systems (GIS)

5) By Other Types: Simulation Software, Neural Network Frameworks, Specialized AI Software Solutions

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Which Regions Are Emerging as Leaders in the Neural Network Software Market?

Asia-Pacific was the largest region in the Neural network software market in 2024.Asia-Pacific is expected to be the fastest-growing region in the global neural network software market report during the forecast period. The regions covered in the neural network software market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

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