Global Machine Learning Market was valued at USD 10.38 billion in 2021 and is expected to reach USD 112.18 billion by the year 2028, at a CAGR of 40.5%.
The machine learning market encompasses the industry involved in the development, deployment, and utilization of machine learning (ML) technologies and solutions. Machine learning, a subset of artificial intelligence (AI), focuses on the development of algorithms and models that enable computers to learn from data and make predictions or decisions without being explicitly programmed.
Market Overview:
Numerous sectors and businesses, including finance, healthcare, retail, manufacturing, transportation, cybersecurity, and more, are utilizing machine learning.Software frameworks and libraries (like TensorFlow, PyTorch, and scikit-learn), cloud-based ML platforms (like Google Cloud AI Platform, Amazon SageMaker), specialized hardware (such GPUs, TPUs), and consulting/services providers are important segments of the machine learning business.Predictive analytics, recommendation engines, computer vision, natural language processing (NLP), anomaly detection, fraud detection, driverless cars, and tailored marketing are just a few of the many applications for machine learning.
Market Trends :
AutoML and democratization: By making the process of creating, honing, and implementing machine learning models easier, automated machine learning (AutoML) tools and platforms are empowering non-experts to use machine learning for a variety of purposes. This pattern is propelling machine learning's democratization and increasing its use in businesses.Edge computing and federated learning: Federated learning reduces latency and preserves data privacy by enabling ML models to be trained across dispersed devices or edge nodes without the need for centralized data gathering. When paired with federated learning, edge computing allows machine learning inference and decision-making closer to the data source at the network edge.Explainable AI (XAI): Transparency and interpretability in machine learning algorithms are becoming more and more important as ML models are employed in decision-making processes that have substantial consequences. The goal of explainable AI approaches is to
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With In-Depth examination of several affecting internal and external factors such as supply and sales channels, including upstream and downstream fundamentals, this report presents a complete analysis on the keyword market ecosystem. To ensure the utmost accuracy and reliability, we draw upon numerous primary and secondary sources. Employing industry-standard tools such as Porter's Five Forces Analysis, SWOT Analysis, and Price Trend Analysis, our research provides a comprehensive evaluation of the market segments and market landscape. This research study goes beyond conventional boundaries with extensive geographical coverage, allowing for a comprehensive understanding of regional trends
Leading players involved in the Machine Learning Market:
Amazon Web Services Inc (US),Baidu Inc (China),BigML Inc (US),Fair Isaac Corporation (US),Google LLC (US),H2Oai(US),Hewlett Packard Enterprise Development LP (HPE) (US),IBM Corporation (US),Intel Corporation (US),Microsoft Corporation (US),SAP SE (Germany),SAS Institute Inc (US) and other major players.
Segmentation of Machine Learning Market:
By Type
· Cloud
· On-Premises
By Application
· BFSI
· Healthcare and Life Sciences
· Retail
· Telecommunication
· Government and Defense
· Manufacturing
· Energy and Utilities
By Region
· North America (U.S., Canada, Mexico)
· Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
· Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
· Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
· South America (Brazil, Argentina, Rest of SA)
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