According to HTF Market Intelligence, the Neural Network Software market to witness a CAGR of 19.6% during the forecast period (2024-2030).The Latest published a market study on Global Neural Network Software Market provides an overview of the current market dynamics in the Global Neural Network Software space, as well as what our survey respondents- all outsourcing decision-makers- predict the market will look like in 2030. The study breaks the market by revenue and volume (wherever applicable) and price history to estimate the size and trend analysis and identify gaps and opportunities.
Some of the players that are in coverage of the study are Google (United States), Microsoft (United States), IBM (United States), NVIDIA (United States), Amazon Web Services (AWS) (United States), Intel (United States), TensorFlow (Google) (United States), Keras (Open Source, originally developed by François Chollet, France) (United States), OpenAI (United States), SAP (Germany), Salesforce (United States), H2O.ai (United States), MATLAB (MathWorks) (United States), Baidu (China)..
The global Neural Network Software market size is expanding at robust growth of 19.6%, sizing up market trajectory from USD 14.7 Billion in 2024 to USD 52.7 Billion by 2030.
Get ready to identify the pros and cons of the regulatory framework, local reforms, and its impact on the Industry. Know how Leaders in Global Neural Network Software are keeping themselves one step forward with our latest survey analysis
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Definition
The Neural Network Software Market involves software that mimics the human brain’s neural networks to enable machine learning, pattern recognition, and predictive analytics. This market is crucial for AI development, supporting applications in industries like finance, healthcare, and automation.
In May 2022: Google AI launched GraphWorld, a tool to accelerate performance benchmarking in the area of graph neural networks (GNNs). Enabling artificial intelligence (AI) engineers and academics to test new GNN architectures on larger graph datasets, it allows a new approach to GNN architectural testing and design. In April 2024, Intel launched the world’s largest neuromorphic system, codenamed Hala Point. This expansive neuromorphic system, first deployed at Sandia National Laboratories, harnesses Intel’s Loihi 2 processor. It is designed to advance research into brain-inspired AI and address current AI challenges related to efficiency and sustainability.
Basic Segmentation Details
Global Neural Network Software Market Breakdown by Application (Image Recognition, Speech Recognition, Natural Language Processing, Predictive Analytics, Others) by Type (Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Feedforward Neural Networks (FNN), Others) by Deployment Mode (On-premises, Cloud-based) by Component (Software, Services) by End-User Industry (Healthcare, Automotive, Financial Services, Retail, IT and Telecommunications, Manufacturing, Others) and by Geography (North America, South America, Europe, Asia Pacific, MEA)
Neural Network Software Market Driver
- Advancements in AI and ML technologies increasing demand for neural network software.
- Growing data availability and volume enhancing neural network training.
Neural Network Software Market Opportunity
- Evolution of deep learning techniques (e.g., transformers, GANs) enabling sophisticated models.
- Growth of cloud computing providing scalable infrastructure for neural network deployment.
Neural Network Software Market Restraints
- High computational costs for GPUs and TPUs.
- Data privacy and security concerns requiring compliance with regulations.
Major Highlights of the Neural Network Software Market report released by HTF MI
Global Neural Network Software Market Breakdown by Application (Image Recognition, Speech Recognition, Natural Language Processing, Predictive Analytics, Others) by Type (Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Feedforward Neural Networks (FNN), Others) by Deployment Mode (On-premises, Cloud-based) by Component (Software, Services) by End-User Industry (Healthcare, Automotive, Financial Services, Retail, IT and Telecommunications, Manufacturing, Others) and by Geography (North America, South America, Europe, Asia Pacific, MEA)
Global Neural Network Software market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to helps the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.
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Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
- The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
- North America (United States, Mexico & Canada)
- South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
- Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
- Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).
Objectives of the Report
- To carefully analyze and forecast the size of the Neural Network Software market by value and volume.
- To estimate the market shares of major segments of the Neural Network Software
- To showcase the development of the Neural Network Software market in different parts of the world.
- To analyze and study micro-markets in terms of their contributions to the Neural Network Software market, their prospects, and individual growth trends.
- To offer precise and useful details about factors affecting the growth of the Neural Network Software
- To provide a meticulous assessment of crucial business strategies used by leading companies operating in the Neural Network Software market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.
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Major highlights from Table of Contents:
Neural Network Software Market Study Coverage:
- It includes major manufacturers, emerging player’s growth story, and major business segments of Neural Network Software market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.
- Neural Network Software Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
- Neural Network Software Market Production by Region Neural Network Software Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.
- Key Points Covered in Neural Network Software Market Report:
- Neural Network Software Overview, Definition and Classification Market drivers and barriers
- Neural Network Software Market Competition by Manufacturers
- Neural Network Software Capacity, Production, Revenue (Value) by Region (2024-2030)
- Neural Network Software Supply (Production), Consumption, Export, Import by Region (2024-2030)
- Neural Network Software Production, Revenue (Value), Price Trend by Type {Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Feedforward Neural Networks (FNN), Others}
- Neural Network Software Market Analysis by Application {Image Recognition, Speech Recognition, Natural Language Processing, Predictive Analytics, Others}
- Neural Network Software Manufacturers Profiles/Analysis Neural Network Software Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
- Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.
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Key questions answered
- How feasible is Neural Network Software market for long-term investment?
- What are influencing factors driving the demand for Neural Network Software near future?
- What is the impact analysis of various factors in the Global Neural Network Software market growth?
- What are the recent trends in the regional market and how successful they are?
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