The global demand for Deep Learning Chipset Market is presumed to reach the valuation of nearlyUSD 70.7 BN by 2030 from USD 11.86 MN in 2022 with a CAGR of 25% under the study period of 2023-2030.
Deep learning chipset incorporates AI and machine learning. It uses multi-layered artificial networks to deliver accuracy in object detection, speech recognition, and language translation among others. Data learning chipset has a highly flexible architecture which can learn representations from raw data and can increase predictive accuracy when provided more data.
Market Dynamics
The emergence of quantum computing is primarily fueling market growth. The growing number of AI applications along with rising investments in AI startups is again boosting the market growth. On the flip side, the dearth of skilled workforce may hamper the market growth. Whereas, increasing adoption of deep learning chips in developing regions and development of smarter robots are likely to offer an opportunity over the forecast timeframe.
The report covers Porter's Five Forces Model, Market Attractiveness Analysis and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level.
Additionally, these tools also give inclusive assessment of each application/product segment in the global market of deep learning chipset.
Market Segmentation
The entire deep learning chipset market has been sub-categorized into type and application. The report provides an analysis of these subsets with respect to the geographical segmentation. This research study will keep marketer informed and helps to identify the target demographics for a product or service.
By Type
- Graphics Processing Units (GPU)
- Central Processing Units (CPUs)
- Application Specific
- Integrated Circuits (AGICA)
- Field Programmable Gate Arrays (FPGAS)
- Others
By Compute Capacity
By End User
- Consumer Electronics
- Automotive
- Industrial
- Healthcare
- Aerospace & Deferse
- Others
Regional Analysis
This section covers regional segmentation which accentuates on current and future demand for deep learning chipset market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand for individual application segment across all the prominent regions.
Global Deep Learning Chipset Market Share by Region (Representative Graph)
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the deep learning chipset market include IBM Corporation, Graphcare Ltd, CEVA Inc, Advanced Micro Devices Inc, NVidia Corporation, Intel Corporation, IBM Corporation, Movidius, Xilinx Inc., TeraDeep Inc, QUALCOMM Incorporated, Alphabet In. This section includes a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
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