Deep Learning System Software Market Scope
Deep learning system software is primarily used for data extraction and transformation purpose. Deep learning is a part of Artificial Intelligence (AI) technology and uses deep learning algorithms to progressively extract higher-level features from the raw data. As per a survey, the global AI market is expected to reach USD 60 billion by 2025. The increasing research and development activities in deep learning will create new opportunities for market growth in the upcoming years.
Deep learning system software is a fragmented market due to the presence of various players. Companies are focusing on developing innovative products and solutions to improve quality, enhances and promotes performance, along with try to incorporate latest technology. The companies are coming up with partnerships or agreements along with planning strategic activities such as partnerships, product launch, mergers, and acquisitions which will help them to sustain in the market and maintain their competitive edge.
Intel Corporation (United States), Hewlett Packard Enterprise Company (United States), Google Inc. (United States), Microsoft Corporation (United States), IBM Corporation (United States), TensorFlow (United States), Amazon (United States), LISA lab (India), Facebook (United States), Nvidia Corporation (United States), General Vision, Inc. (United States), Skymind (United States) and Sensory (United States) are some of the key players that are part of study coverage.
Segmentation Overview
The study have segmented the market of Global Deep Learning System Software market by Type (Cloud-based and On-premise), by Application (Image Recognition, Signal Recognition, Data Mining and Other) and Region with country level break-up.
On the basis of geography, the market of Deep Learning System Software 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).
Influencing Trend:
Deep Learning Usage in Big Data Analytics
Market Growth Drivers:
Increasing Adoption of Cloud-Based Technology and Rapid Increase in the Amount of Data Being Generated in End-Use Industries
Challenges:
Lack of Technical Expertise
Restraints:
Scalability of Deep Learning Models
Opportunities:
Increasing Research and Development Activities in Deep Learning and Growing AI Adoption in Customer-Centric Services
Market Leaders and their Expansionary Development Strategies
In December 2019, Intel Corporation acquired Habana Labs, an Israel-based developer of programmable deep learning accelerators for the data center for approximately USD 2 billion. This merger strengthened Intel’s artificial intelligence (AI) portfolio.
In May 2022, Intel launched second-generation Habana, AI deep learning processors deliver high performance and high efficiency. The new chips include the Habana Gaudi2 and Habana Greco and use 7-nanometer. This launch helped company to expand its presence in deep learning system software market
Key Target Audience
New Entrants/Investors, Analysts and Strategic Business Planners, Deep Learning System Software Providers, Cloud Service Providers, Government Regulatory and Research Organizations and End Use Industry
About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.