Machine Learning Market Segmentation:
Deployment
The cloud segment is predicted to hold 55% share of the global machine learning market by the end of 2035. One of the major benefits that have resulted from adopting cloud delivery models for learning software solutions and services is flexibility, automated software updates, disaster recovery using cloud backup systems, enhanced collaboration, document version controls, and data loss prevention with robust cloud storage facilities.
Enterprise Type
Machine learning market from the large enterprise segment is set to grow substantially with a share of 54% in the time period. It is becoming more and more common to use AI as a service and data science for the quantitative analysis of enterprises that are expected to drive segment revenue growth. For the provision of efficient market services, large firms are using machine learning approaches. Large enterprises can use machine learning without major infrastructure investments with services like Google Cloud AI Platform, Amazon Web Services (AWS), and Microsoft Azure Machine Learning providing pre-built models, distributed training capabilities, and infrastructure management.
Our in-depth analysis of the global market includes the following segments:
|
Enterprise Type |
|
|
Deployment |
|
|
End User |
|
