PUBLISHER: QKS Group | PRODUCT CODE: 1669178
PUBLISHER: QKS Group | PRODUCT CODE: 1669178
Market Share and Forecast: Data Science and Machine Learning Platforms, 2023-2028, Middle East and Africa (Bundle of Two Reports)
This product includes two reports: Market Share and Market Forecast.
Market Share Description:
QKS Group Reveals that Data Science and Machine Learning Platforms Market is Projected to Register a CAGR of 33% by 2028 in Middle East and Africa.
In the Middle East and Africa (MEA) region, the market for Data Science and Machine Learning platforms is rapidly expanding amid a growing appetite for digital transformation and innovation. Global tech giants such as Microsoft Azure, Google Cloud Platform, and Amazon Web Services (AWS) dominate with their comprehensive cloud-based solutions, offering advanced tools for data analytics, AI development, and machine learning model deployment. These platforms are pivotal in supporting various industries including banking, healthcare, and energy to harness data-driven insights for competitive advantage and operational efficiency. Local initiatives and startups are also contributing significantly to the ecosystem, catering to regional nuances and specific industry requirements. Governments across MEA are increasingly investing in technology infrastructure and promoting regulatory frameworks that support digital innovation, driving further growth in the market. The region's dynamic landscape, characterized by rapid urbanization and a youthful population, presents ample opportunities for continued expansion and adoption of Data Science and Machine Learning technologies.
According to Quadrant Knowledge Solutions, "A data science and machine learning platform is an integrated system/hub built on both code-based libraries and low-code/no-code tools. This platform enables collaboration among data scientists and other stakeholders like data engineers and business analyst across different stages of the data science lifecycle, such as business understanding, data access and preparation, visualization, experimentation, model building, and insight generation. The platform facilitates machine learning engineering tasks, covering data pipeline development, feature engineering, deployment, testing and predictive analysis. The platform gives options between local clients, browsers, or completely managed cloud services to businesses depending upon their requirements."
Market Forecast Description:
QKS Group Reveals that Data Science and Machine Learning Platforms Market is Projected to Register a CAGR of 32% by 2028 in Middle East and Africa.
The market forecast for Data Science and Machine Learning Platforms in the Middle East and Africa (MEA) through 2028 shows promising growth fueled by rapid digital transformation, increasing investments in AI technologies, and a burgeoning startup ecosystem. As MEA countries diversify their economies and prioritize digital innovation, there is a rising demand for advanced analytics platforms to harness the vast amounts of data generated across various industries. Key drivers include government initiatives promoting AI adoption, the expansion of smart city projects, and the digitization of healthcare and finance sectors. Cloud-based solutions are expected to dominate the market, offering scalability and accessibility while adhering to regional data privacy regulations. Challenges such as infrastructure development, digital skills gap, and socio-economic disparities will shape market dynamics. However, collaborations between local governments, international tech firms, and academic institutions are expected to drive innovation and propel the region's AI capabilities forward. Overall, the MEA region presents a growing market opportunity for Data Science and Machine Learning Platforms, supported by technological advancements, regulatory reforms, and a strategic push towards digital transformation across diverse sectors.
According to Quadrant Knowledge Solutions, "A data science and machine learning platform is an integrated system/hub built on both code-based libraries and low-code/no-code tools. This platform enables collaboration among data scientists and other stakeholders like data engineers and business analyst across different stages of the data science lifecycle, such as business understanding, data access and preparation, visualization, experimentation, model building, and insight generation. The platform facilitates machine learning engineering tasks, covering data pipeline development, feature engineering, deployment, testing and predictive analysis. The platform gives options between local clients, browsers, or completely managed cloud services to businesses depending upon their requirements."
TABLE OF CONTENTS
Market Share:
Chapter 01: Executive Summary
- Key Research Findings
- Top Predictions
- Top Trends
- Market Summary
Chapter 02: Market Overview
- Market Definition and Scope
- Key Factors Impacting the Market
- Drivers & Restraints
Chapter 03: Market Share Analysis
- Middle East and Africa Market Share
- Middle East and Africa Market Share by Industry Verticals
- Market Share by Media & Entertainment
- Market Share by Retail
- Market Share by BFSI
- Market Share by Travel & Hospitality
- Market Share by Education
- Market Share by Public Sector
- Market Share by Healthcare & Life Science
- Market Share by Automotive
- Market Share by Food & Beverage
- Middle East and Africa Market Share by Deployment Type
- Market Share by Deployment Type: On prem
- Market Share by Deployment Type: Cloud
- Middle East and Africa Market Share by Customer Type
- Market Share by SMB
- Market Share by Large
- Market Share by Enterprise
Chapter 04: Company Profile
- Company Overview
- Analyst Perspectives and Analysis
Chapter 05: Appendix
- Research Methodologies
Market Forecast:
Chapter 01: Executive Summary
- Key Research Findings
- Top Predictions
- Top Trends
- Market Summary
Chapter 02: Market Overview
- Market Definition and Scope
- Key Factors Impacting the Market
- Drivers & Restraints
Chapter 03: Market Forecast Analysis
- MIDDLE EAST & AFRICA Market Forecast
- MIDDLE EAST & AFRICA Market Forecast by Industry Verticals
- Market Forecast by Media & Entertainment
- Market Forecast by Retail
- Market Forecast by BFSI
- Market Forecast by Travel & Hospitality
- Market Forecast by Education
- Market Forecast by Public Sector
- Market Forecast by Healthcare & Life Science
- Market Forecast by Automotive
- Market Forecast by Food & Beverage
- MIDDLE EAST & AFRICA Market Forecast by Deployment Type
- Market Forecast by Deployment Type: On prem
- Market Forecast by Deployment Type: Cloud
- MIDDLE EAST & AFRICA Market Forecast by Customer Type
- Market Forecast by SMB
- Market Forecast by Large
- Market Forecast by Enterprise
Chapter 04: Company Profile
- Company Overview
- Analyst Perspectives and Analysis
Chapter 05: Appendix
- Research Methodologies
LIST OF FIGURES
Market Share:
- Fig. 1 Market Share of Data Science & Machine Learning Platforms Middle East and Africa, 2023
- Fig. 2 Middle East and Africa Market Share of Data Science & Machine Learning Platforms IT & Telecom Industry, 2023
- Fig. 3 Middle East and Africa Market Share of Data Science & Machine Learning Platforms Banking & Financial Services Industry, 2023
- Fig. 4 Middle East and Africa Market Share of Data Science & Machine Learning Platforms Insurance Industry, 2023
- Fig. 5 Middle East and Africa Market Share of Data Science & Machine Learning Platforms Healthcare Industry, 2023
- Fig. 6 Middle East and Africa Market Share of Data Science & Machine Learning Platforms Government & Public Sector, 2023
- Fig. 7 Middle East and Africa Market Share of Data Science & Machine Learning Platforms Retail & eCommerce, 2023
- Fig. 8 Middle East and Africa Market Share of Data Science & Machine Learning Platforms Manufacturing, 2023
- Fig. 9 Middle East and Africa Market Share of Data Science & Machine Learning Platforms Hospitality, 2023
- Fig. 10 Middle East and Africa Market Share of Data Science & Machine Learning Platforms On-premises Deployment, 2023
- Fig. 11 Middle East and Africa Market Share of Data Science & Machine Learning Platforms Cloud Deployment, 2023
- Fig. 12 Middle East and Africa Market Share of Data Science & Machine Learning Platforms SMB Customers, 2023
- Fig. 13 Middle East and Africa Market Share of Data Science & Machine Learning Platforms Large Customers, 2023
- Fig. 14 Middle East and Africa Market Share of Data Science & Machine Learning Platforms Enterprise Customers, 2023
Market Forecast:
- Fig. 1 Market Forecast of Data Science & Machine Learning Platforms MIDDLE EAST & AFRICA, 2024- 2028
- Fig. 2 Market Forecast of Data Science & Machine Learning Platforms IT & Telecom Industry, 2024- 2028
- Fig. 3 Market Forecast of Data Science & Machine Learning Platforms Banking & Financial Services Industry, 2023
- Fig. 4 Market Forecast of Data Science & Machine Learning Platforms Insurance Industry, 2024- 2028
- Fig. 5 Market Forecast of Data Science & Machine Learning Platforms Healthcare Industry, 2024- 2028
- Fig. 6 Market Forecast of Data Science & Machine Learning Platforms Government & Public Sector, 2024- 2028
- Fig. 7 Market Forecast of Data Science & Machine Learning Platforms Retail & eCommerce, 2024- 2028
- Fig. 8 Market Forecast of Data Science & Machine Learning Platforms Manufacturing, 2024- 2028
- Fig. 9 Market Forecast of Data Science & Machine Learning Platforms Hospitality, 2024- 2028
- Fig. 10 Market Forecast of Data Science & Machine Learning Platforms On-premises Deployment, 2024- 2028
- Fig. 11 Market Forecast of Data Science & Machine Learning Platforms Cloud Deployment, 2024- 2028
- Fig. 12 Market Forecast of Data Science & Machine Learning Platforms SMB Customers, 2024- 2028
- Fig. 13 Market Forecast of Data Science & Machine Learning Platforms Large Customers, 2024- 2028
- Fig. 14 Market Forecast of Data Science & Machine Learning Platforms Enterprise Customers, 2024- 2028
