Saudi Arabia Machine Learning Market Valued at USD 834 MILLION IN 2024, Growing at a 11.5% CAGR - Exclusive Report by MarkNtel Advisors
The Saudi Arabia Machine Learning Market size is valued at around USD 834 million in 2024 and is estimated to grow at a CAGR of around 11.5% during the forecast period, i.e., 2023-28.
Market Insights & Analysis: Saudi Arabia Machine Learning Market (2023-28)
Projected Growth: The Saudi Arabia Machine Learning Market is projected to grow at a 11.5% CAGR during the forecast period, i.e., 2023-28.
In-Depth Overview of the Saudi Arabia Machine Learning Market
Utilizing both primary and secondary research methodologies, the Saudi Arabia Machine Learning Market report offers an in-depth analysis valuable for stakeholders and investors seeking market insights. This report delves into market dynamics, providing a detailed examination of regional trends and developments.
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Saudi Arabia Machine Learning Market Trend: Mounting Popularity of Machine Learning Technology in the Healthcare Sector
Within the healthcare domain the adoption of machine learning modeling is gaining momentum in areas such as disease diagnosis by analysing patients’ symptoms and historical records. It is also helpful in diagnostic tests such as MRIs, CT scans, X-rays, etc., which allows radiologists to make assessments timely. As a result, the government is also encouraging the adoption of AI & ML modeling in the healthcare domain. For instance,
In 2023, the government launched Strategic Partner in Innovation & Excellence (SPInE) initiative to increase the application of machine learning and artificial intelligence in the healthcare sector.
Further, as the healthcare industry of the country is continuously expanding to serve the domestic as well as medical tourists needs, the demand for the integration of machine learning technology is anticipated to continue to boom from the sector.
Saudi Arabia Machine Learning Market Segmentation
By Application
-Data Processing
-Feature Engineering
-Modelling
-Visualization
-Fraud Detection & Security
-Supply Chain Management & Demand Forecasting
-Others (Robotics, Predictive Maintenance, etc.)
- The advent of digitalization in Saudi Arabia in almost every sector including IT, healthcare, education, etc. has led to the creation of large databases and big data.
By Deployment Mode
-Cloud
-On-Premise
By Organization Size
-Large Enterprises
-SMEs
By Services
-Professional Services
-Managed Services
By End User
-BFSI
-Healthcare
-Retail
-Telecommunication
-IT & Telecom
-Manufacturing
-Others (Education, Energy & Utilities, etc.)
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Leading Companies in the Saudi Arabia Machine Learning Market
The report features major players including:
Baidu, Takamul Smart Technology, IBM Inc., Amazon Web Services, Dataiku, SAP SE, Google Inc., Intel Corporation, CISCO Systems, SAS Institute, Others
Regional Analysis
The report covers a comprehensive analysis of the Saudi Arabia Machine Learning Market across various regions:
- Central
- East
- West
- South
The research highlights development opportunities and challenges in these regions, encompassing sales growth, product pricing and analysis, growth potential, and strategic recommendations for addressing market challenges.
Essential Questions Addressed in the Saudi Arabia Machine Learning Market Report
- Who are the major players in the Saudi Arabia Machine Learning Market?
- Which region presents the most potential for the Saudi Arabia Machine Learning Market?
- Which application area of the Saudi Arabia Machine Learning Market is anticipated to grow significantly in the coming years?
- What opportunities exist for new market entrants?
- What is the projected market size for the Saudi Arabia Machine Learning Market by the end of the forecast period?
- What are the growth prospects for the Saudi Arabia Machine Learning Market?
- What is the base year considered in this market report?
- Which region holds the largest market share in the Saudi Arabia Machine Learning Market?
- What factors are expected to drive the growth of the Saudi Arabia Machine Learning Market?
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