United States Deep Learning Frameworks Market Insights, Forecast to 2029
The key companies of Deep Learning Frameworks in United States include TensorFlow, PyTorch, Keras, Sonnet, MXNet, Gluon, DL4J, ONNX, and Chainer, etc. In 2022, the top five players in United States had a share approximately xx % in terms of revenue.
Report Includes
This report presents an overview of United States market for Deep Learning Frameworks market size. Analyses of the United States market trends, with historic market revenue data for 2018 - 2022, estimates for 2023, and projections of CAGR through 2029.
This report focuses on the Deep Learning Frameworksrevenue, market share and industry ranking of main companies, data from 2018 to 2023. Identification of the major stakeholders in the United States Deep Learning Frameworks market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2018 to 2029. Evaluation and forecast the market size for Deep Learning Frameworks revenue, projected growth trends, production technology, application and end-user industry.
Segment by Type
Convolutional Neural Networks (CNNs)
Long Short Term Memory Networks (LSTMs)
Recurrent Neural Networks (RNNs)
Generative Adversarial Networks (GANs)
Radial Basis Function Networks (RBFNs)
Multilayer Perceptrons (MLPs)
Self Organizing Maps (SOMs)
Deep Belief Networks (DBNs)
Restricted Boltzmann Machines( RBMs)
Segment By Application
Automated Driving
Healthcare
Aerospace
Electronics
Industrial Automation
Hospitality
Retail
Digital Assistants
Others
Key companies covered in this report:
TensorFlow
PyTorch
Keras
Sonnet
MXNet
Gluon
DL4J
ONNX
Chainer
Deeplearning4j
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1 Report Overview 1
1.1 Study Scope 1
1.2 Market Analysis by Type 1
1.2.1 United States Deep Learning Frameworks Market Size Growth Rate by Type: 2018 VS 2022 VS 2029 1
1.2.2 Convolutional Neural Networks (CNNs) 3
1.2.3 Long Short Term Memory Networks (LSTMs) 3
1.2.4 Recurrent Neural Networks (RNNs) 4
1.2.5 Generative Adversarial Networks (GANs) 4
1.2.6 Radial Basis Function Networks (RBFNs) 5
1.2.7 Multilayer Perceptrons (MLPs) 5
1.2.8 Self Organizing Maps (SOMs) 6
1.2.9 Deep Belief Networks (DBNs) 6
1.2.10 Restricted Boltzmann Machines( RBMs) 7
1.3 Market by Application 7
1.3.1 United States Deep Learning Frameworks Market Share by Application: 2018 VS 2022 VS 2029 7
1.3.2 Automated Driving 9
1.3.3 Healthcare 9
1.3.4 Aerospace 9
1.3.5 Electronics 10
1.3.6 Industrial Automation 10
1.3.7 Hospitality 10
1.3.8 Retail 10
1.3.9 Digital Assistants 11
1.4 Assumptions and Limitations 11
1.5 Study Objectives 12
1.6 Years Considered 12
2 United States Growth Trends 13
2.1 United States Deep Learning Frameworks Market Perspective (2018-2029) 13
2.2 Deep Learning Frameworks Market Dynamics 14
2.2.1 Deep Learning Frameworks Industry Trends 14
2.2.2 Deep Learning Frameworks Market Drivers 15
2.2.3 Deep Learning Frameworks Market Challenges 15
2.2.4 Deep Learning Frameworks Market Restraints 16
3 Competition Landscape by Key Players 17
3.1 Global Revenue Deep Learning Frameworks by Players 17
3.1.1 United States Deep Learning Frameworks Revenue by Players (2018-2023) 17
3.1.2 United States Deep Learning Frameworks Revenue Market Share by Players (2018-2023) 19
3.2 United States Deep Learning Frameworks Market Share by Company Type (Tier 1, Tier 2, and Tier 3) 22
3.3 United States of Deep Learning Frameworks, Ranking by Revenue, 2021 VS 2022 VS 2023 24
3.4 United States Deep Learning Frameworks Market Concentration Ratio 25
3.4.1 United States Deep Learning Frameworks Market Concentration Ratio (CR5 and HHI) 25
3.4.2 United States Top 10 and Top 5 Companies by Deep Learning Frameworks Revenue in 2022 26
3.5 United States of Deep Learning Frameworks Head office and Area Served 26
3.6 United States of Deep Learning Frameworks, Product and Application 28
3.7 United States of Deep Learning Frameworks, Date of Enter into This Industry 31
3.8 Mergers & Acquisitions, Expansion Plans 33
4 Deep Learning Frameworks Breakdown Data by Type 34
4.1 United States Deep Learning Frameworks Historic Market Size by Type (2018-2023) 34
4.2 United States Deep Learning Frameworks Forecasted Market Size by Type (2024-2029) 35
5 Deep Learning Frameworks Breakdown Data By Application 37
5.1 United States Deep Learning Frameworks Historic Market Size By Application (2018-2023) 37
5.2 United States Deep Learning Frameworks Forecasted Market Size By Application (2024-2029) 38
6 Key Players Profiles 40
6.1 TensorFlow 40
6.1.1 TensorFlow Company Details 40
6.1.2 TensorFlow Business Overview 40
6.1.3 TensorFlow Deep Learning Frameworks Introduction 41
6.1.4 TensorFlow in United States: Revenue in Deep Learning Frameworks Business (2018-2023) 41
6.1.5 TensorFlow Recent Development 41
6.2 PyTorch 42
6.2.1 PyTorch Company Details 42
6.2.2 PyTorch Business Overview 42
6.2.3 PyTorch Deep Learning Frameworks Introduction 43
6.2.4 PyTorch in United States: Revenue in Deep Learning Frameworks Business (2018-2023) 43
6.2.5 PyTorch Recent Development 43
6.3 Keras 44
6.3.1 Keras Company Details 44
6.3.2 Keras Business Overview 44
6.3.3 Keras Deep Learning Frameworks Introduction 45
6.3.4 Keras in United States: Revenue in Deep Learning Frameworks Business (2018-2023) 45
6.3.5 Keras Recent Development 45
6.4 Sonnet 46
6.4.1 Sonnet Company Details 46
6.4.2 Sonnet Business Overview 46
6.4.3 Sonnet Deep Learning Frameworks Introduction 47
6.4.4 Sonnet in United States: Revenue in Deep Learning Frameworks Business (2018-2023) 47
6.4.5 Sonnet Recent Development 47
6.5 MXNet 48
6.5.1 MXNet Company Details 48
6.5.2 MXNet Business Overview 48
6.5.3 MXNet Deep Learning Frameworks Introduction 49
6.5.4 MXNet in United States: Revenue in Deep Learning Frameworks Business (2018-2023) 49
6.5.5 MXNet Recent Development 49
6.6 Gluon 50
6.6.1 Gluon Company Details 50
6.6.2 Gluon Business Overview 50
6.6.3 Gluon Deep Learning Frameworks Introduction 51
6.6.4 Gluon in United States: Revenue in Deep Learning Frameworks Business (2018-2023) 51
6.6.5 Gluon Recent Development 51
6.7 DL4J 52
6.7.1 DL4J Company Details 52
6.7.2 DL4J Business Overview 52
6.7.3 DL4J Deep Learning Frameworks Introduction 53
6.7.4 DL4J in United States: Revenue in Deep Learning Frameworks Business (2018-2023) 53
6.7.5 DL4J Recent Development 53
6.8 ONNX 54
6.8.1 ONNX Company Details 54
6.8.2 ONNX Business Overview 54
6.8.3 ONNX Deep Learning Frameworks Introduction 55
6.8.4 ONNX in United States: Revenue in Deep Learning Frameworks Business (2018-2023) 55
6.8.5 ONNX Recent Development 55
6.9 Chainer 56
6.9.1 Chainer Company Details 56
6.9.2 Chainer Business Overview 56
6.9.3 Chainer Deep Learning Frameworks Introduction 57
6.9.4 Chainer in United States: Revenue in Deep Learning Frameworks Business (2018-2023) 57
6.9.5 Chainer Recent Development 57
6.10 Deeplearning4j 58
6.10.1 Deeplearning4j Company Details 58
6.10.2 Deeplearning4j Business Overview 58
6.10.3 Deeplearning4j Deep Learning Frameworks Introduction 59
6.10.4 Deeplearning4j in United States: Revenue in Deep Learning Frameworks Business (2018-2023) 59
6.10.5 Deeplearning4j Recent Development 59
7 Analyst's Viewpoints/Conclusions 61
8 Appendix 62
8.1 Research Methodology 62
8.1.1 Methodology/Research Approach 62
8.1.2 Data Source 65
8.2 Author Details 68
8.3 Disclaimer 70
TensorFlow
PyTorch
Keras
Sonnet
MXNet
Gluon
DL4J
ONNX
Chainer
Deeplearning4j
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*If Applicable.
