PUBLISHER: QKS Group | PRODUCT CODE: 1669182
PUBLISHER: QKS Group | PRODUCT CODE: 1669182
Market Share and Forecast: Data Science and Machine Learning Platforms, 2023-2028, Central and Eastern Europe (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 30% by 2028, Central and Eastern Europe.
The market for Data Science and Machine Learning (DSML) platforms is experiencing remarkable growth worldwide, driven by the increasing adoption of artificial intelligence (AI) and machine learning (ML) across various industries. Organizations are leveraging these platforms to gain insights from their data, automate processes, and make data-driven decisions. The global market is characterized by strong competition among leading tech giants such as Google, Microsoft, Amazon, IBM, and emerging players like DataRobot, Databricks, and H2O.ai. These platforms offer a wide range of capabilities, including data preparation, model development, deployment, and monitoring, catering to both technical and non-technical users. The proliferation of cloud computing has significantly contributed to the market's expansion, enabling scalable and cost-effective DSML solutions. Additionally, the integration of DSML platforms with other technologies like big data, Internet of Things (IoT), and edge computing is further enhancing their utility and driving demand. The market is also seeing increased investments in research and development to improve platform functionalities and user experience. With an estimated global CAGR of around 30%, the DSML platforms market is set to continue its rapid expansion, reflecting the critical role of data science and machine learning in modern business strategies.
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 34% by 2028 in Central and Eastern Europe.
The market forecast for Data Science and Machine Learning Platforms in Central and Eastern Europe (CEE) through 2028 anticipates significant growth driven by increasing digital transformation initiatives and the adoption of AI technologies across various sectors. CEE countries are increasingly focusing on developing their tech ecosystems, supported by a growing pool of skilled IT professionals and favorable government policies promoting innovation. Key drivers include the rising demand for data-driven insights to optimize business processes, improve customer experiences, and drive operational efficiencies. Cloud-based platforms are expected to gain traction due to their scalability and cost-effectiveness, catering to businesses of all sizes in the region. Moreover, sectors such as finance, healthcare, manufacturing, and agriculture are likely to lead in AI adoption, fueling demand for advanced analytics solutions. Challenges such as data privacy regulations and the need for infrastructure development will influence market dynamics, while collaborations between academia, industry, and government are set to foster innovation and enhance the region's competitiveness in the global AI market. Overall, Central and Eastern Europe presents a promising growth opportunity for Data Science and Machine Learning Platforms, driven by technological advancements, increasing digital maturity, and strategic investments in AI-driven capabilities.
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- Worldwide
- Global DTO Market Share Analysis
Chapter 04: Market Share Analysis
- Market Share Central and Eastern Europe
- 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
- Market Share by Deployment Type
- Market Share by Deployment Type: On prem
- Market Share by Deployment Type: Cloud
- Market Share by Customer Type
- Market Share by SMB
- Market Share by Large
- Market Share by Enterprise
Chapter 05: Company Profile
- Company Overview
- Analyst Perspectives and Analysis
Chapter 06: 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
- Central and Eastern Europe Market Forecast
- Central and Eastern Europe 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
- Central and Eastern Europe Market Forecast by Deployment Type
- Market Forecast by Deployment Type: On prem
- Market Forecast by Deployment Type: Cloud
- Central and Eastern Europe 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 Central and Eastern Europe, 2023
- Fig. 2 Canada Market Share of Data Science & Machine Learning Platforms IT & Telecom Industry, 2023
- Fig. 3 Canada Market Share of Data Science & Machine Learning Platforms Banking & Financial Services Industry, 2023
- Fig. 4 Canada Market Share of Data Science & Machine Learning Platforms Insurance Industry, 2023
- Fig. 5 Canada Market Share of Data Science & Machine Learning Platforms Healthcare Industry, 2023
- Fig. 6 Canada Market Share of Data Science & Machine Learning Platforms Government & Public Sector, 2023
- Fig. 7 Canada Market Share of Data Science & Machine Learning Platforms Retail & eCommerce, 2023
- Fig. 8 Canada Market Share of Data Science & Machine Learning Platforms Manufacturing, 2023
- Fig. 9 Canada Market Share of Data Science & Machine Learning Platforms Hospitality, 2023
- Fig. 10 Canada Market Share of Data Science & Machine Learning Platforms On-premises Deployment, 2023
- Fig. 11 Canada Market Share of Data Science & Machine Learning Platforms Cloud Deployment, 2023
- Fig. 12 Canada Market Share of Data Science & Machine Learning Platforms SMB Customers, 2023
- Fig. 13 Canada Market Share of Data Science & Machine Learning Platforms Large Customers, 2023
- Fig. 14 Canada Market Share of Data Science & Machine Learning Platforms Enterprise Customers, 2023
Market Forecast:
- Fig. 1 Market Forecast of Data Science & Machine Learning Platforms Central and Eastern Europe, 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
