PUBLISHER: QKS Group | PRODUCT CODE: 1669179
PUBLISHER: QKS Group | PRODUCT CODE: 1669179
Market Share and Forecast: Data Science and Machine Learning Platforms, 2023-2028, Latin America (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 32% by 2028 in Latin America.
The market for Data Science and Machine Learning platforms in Latin America is evolving dynamically with notable trends and opportunities. Major global players such as Microsoft Azure, Google Cloud Platform, and Amazon Web Services (AWS) dominate the region's cloud-based solutions, offering comprehensive tools for data analysis, AI development, and machine learning deployment. These platforms cater not only to large corporations but also support the digital transformation efforts of small and medium-sized enterprises across various industries including banking, healthcare, and telecommunications. Local initiatives and startups are also contributing significantly to the ecosystem, offering specialized solutions that address regional challenges and preferences. The market's expansion is fueled by increasing digitalization efforts, government incentives promoting technology adoption, and a burgeoning interest in leveraging data analytics for business optimization and decision-making processes throughout Latin America.
According to QKS Group, "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 33% by 2028 in Latin America.
The market forecast for Data Science and Machine Learning Platforms in Latin America through 2028 indicates a promising trajectory marked by increasing adoption of digital technologies and data-driven strategies across the region. As businesses and governments recognize the transformative potential of AI and machine learning, investments in advanced analytics platforms are expected to rise. Key drivers include the growing volume of data generated by digitalization efforts, the need for enhanced customer insights and operational efficiencies, and the expansion of e-commerce and fintech sectors. Cloud-based solutions are likely to dominate, offering scalability and accessibility to organizations of all sizes. Challenges such as infrastructure development and data privacy regulations will shape market dynamics, while initiatives to foster digital skills and innovation ecosystems are expected to support growth. Overall, Latin America presents a burgeoning market for Data Science and Machine Learning Platforms, driven by a convergence of technological advancement, regulatory developments, and increasing demand for data-driven decision-making across diverse industries.
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
- Latin America Market Share
- Latin America 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
- Latin America Market Share by Deployment Type
- Market Share by Deployment Type: On prem
- Market Share by Deployment Type: Cloud
- Latin America 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
- Latin America Market Forecast
- Latin America 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
- Latin America Market Forecast by Deployment Type
- Market Forecast by Deployment Type: On prem
- Market Forecast by Deployment Type: Cloud
- Latin America 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 Latin America, 2023
- Fig. 2 Latin America Market Share of Data Science & Machine Learning Platforms IT & Telecom Industry, 2023
- Fig. 3 Latin America Market Share of Data Science & Machine Learning Platforms Banking & Financial Services Industry, 2023
- Fig. 4 Latin America Market Share of Data Science & Machine Learning Platforms Insurance Industry, 2023
- Fig. 5 Latin America Market Share of Data Science & Machine Learning Platforms Healthcare Industry, 2023
- Fig. 6 Latin America Market Share of Data Science & Machine Learning Platforms Government & Public Sector, 2023
- Fig. 7 Latin America Market Share of Data Science & Machine Learning Platforms Retail & eCommerce, 2023
- Fig. 8 Latin America Market Share of Data Science & Machine Learning Platforms Manufacturing, 2023
- Fig. 9 Latin America Market Share of Data Science & Machine Learning Platforms Hospitality, 2023
- Fig. 10 Latin America Market Share of Data Science & Machine Learning Platforms On-premises Deployment, 2023
- Fig. 11 Latin America Market Share of Data Science & Machine Learning Platforms Cloud Deployment, 2023
- Fig. 12 Latin America Market Share of Data Science & Machine Learning Platforms SMB Customers, 2023
- Fig. 13 Latin America Market Share of Data Science & Machine Learning Platforms Large Customers, 2023
- Fig. 14 Latin America Market Share of Data Science & Machine Learning Platforms Enterprise Customers, 2023
Market Forecast:
- Fig. 1 Market Forecast of Data Science & Machine Learning Platforms Latin America, 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
