Automated Machine Learning Report
: Analysis on the Market, Trends, and TechnologiesThe automated machine learning (AutoML) sector is experiencing a significant surge in growth and innovation. This technology, designed to streamline the application of machine learning to real-world problems, is democratizing machine learning and accelerating solution development. AutoML is not only making machine learning accessible to non-experts but is also often outperforming manually designed models. With key investors showing increasing confidence, the sector is witnessing substantial funding, highlighting its promising future. Companies are engaging in a variety of activities, from hyperparameter optimization and meta-learning to neural architecture search, contributing to the continuous evolution of AutoML solutions.
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Topic Dominance Index of Automated Machine Learning
To identify the Dominance Index of Automated Machine Learning in the Trend and Technology ecosystem, we look at 3 different time series: the timeline of published articles, founded companies, and global search. These timelines are normalized and combined to show a comprehensive view of the Automated Machine Learning evolution relative to all known Trends and Technologies.
Key Activities and Applications
- Automation of data preprocessing and model deployment processes.
- Application in diverse industries such as IT services, software development, and financial services.
- Development of user-friendly accounting services with reduced error rates.
- Credit underwriting enhancements for better decision-making and risk reduction.
- Peer-to-peer cloud GPU rental services for machine learning and AI research.
- Unsupervised machine learning for root cause analysis in software engineering.
- AI-backed platforms for modern contract lifecycle management.
- Email marketing and automation platforms designed for various business scales.
- Technology solutions for health estimation and battery degradation prediction.
- Cybersecurity services featuring automated detections and AI integration.
Emergent Trends and Core Insights
- A growing trend towards the integration of AI and machine learning in various business operations.
- Continuous improvement in AutoML solutions leading to outperformance of manual models.
- Expansion of AutoML's scope across multiple industries, indicating its versatility and broad applicability.
- A noticeable trend of companies adopting cloud-based GPU services for cost-effective machine learning development.
- The emergence of AI in contract management systems, indicating a shift towards intelligent automation in legal processes.
Technologies and Methodologies
- Hyperparameter optimization for enhanced machine learning model performance.
- Meta-learning and neural architecture search for advancing AutoML capabilities.
- Adoption of cloud services for scalable and accessible machine learning development.
- Utilization of unsupervised machine learning for efficient problem-solving in software development.
- Integration of artificial intelligence in cybersecurity solutions for proactive threat detection.
Automated Machine Learning Funding
A total of 240 Automated Machine Learning companies have received funding.
Overall, Automated Machine Learning companies have raised $4.1B.
Companies within the Automated Machine Learning domain have secured capital from 848 funding rounds.
The chart shows the funding trendline of Automated Machine Learning companies over the last 5 years
Automated Machine Learning Companies
The Companies feature is a crucial part of TrendFeedr. It offers in-depth information about 867 companies working within Automated Machine Learning and other trends and technologies. Identify and analyze innovators and key players in relevant industries more easily with this feature.
867 Automated Machine Learning Companies
Discover Automated Machine Learning Companies, their Funding, Manpower, Revenues, Stages, and much more
Automated Machine Learning Investors
TrendFeedr’s investors tool offers a detailed view of investment activities that align with specific trends and technologies. This tool features comprehensive data on 186 Automated Machine Learning investors, funding rounds, and investment trends, providing an overview of market dynamics.
186 Automated Machine Learning Investors
Discover Automated Machine Learning Investors, Funding Rounds, Invested Amounts, and Funding Growth
Automated Machine Learning News
Stay informed and ahead of the curve with TrendFeedr’s News feature, which provides access to 4.5K Automated Machine Learning articles. The tool is tailored for professionals seeking to understand the historical trajectory and current momentum of changing market trends.
4.5K Automated Machine Learning News Articles
Discover Latest Automated Machine Learning Articles, News Magnitude, Publication Propagation, Yearly Growth, and Strongest Publications
Executive Summary
The automated machine learning sector is advancing rapidly, with companies across various industries incorporating AutoML to optimize operations and foster innovation. The sector's growth is fueled by a combination of expert involvement, strategic investment, and a focus on developing solutions that address real-world challenges. As AutoML continues to evolve, it is poised to become a cornerstone in the business, innovation, and technology landscape, offering efficient, accessible, and advanced machine learning applications that drive progress and competitive advantage.
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