- In June 2024, IBM Corporation announced a strategic collaboration with Telefónica Tech aimed at driving the adoption of cutting-edge Artificial Intelligence (AI), analytics, and data governance solutions. This partnership seeks to address the evolving needs of enterprises, enabling them to leverage advanced technologies for improved decision-making, operational efficiency, and enhanced customer experiences in an increasingly complex business environment
- In March 2024, Microsoft revealed a collaboration with NVIDIA focused on enhancing healthcare and life sciences innovation through cloud AI and accelerated computing technologies. This partnership aims to revolutionize patient care by expediting access to precision medicine and AI-driven diagnostics. The initiative is expected to significantly advance the healthcare industry by providing faster, more accurate solutions for diagnosing and treating patients, ultimately improving health outcomes
- In January 2023, Science Applications International Corp. introduced the "Tenjin" data science platform, a versatile solution that supports low-code to full-code development for AI and machine learning applications. Powered by Dataiku, Tenjin facilitates the entire lifecycle of AI and ML model development, from deployment to training and automation, along with advanced data visualization tools. This platform aims to simplify complex processes, making AI accessible to a wider range of businesses
- In October 2022, IBM Corporation launched the Diamondback tape library, an advanced storage solution utilizing LTO technology. This innovative product boasts an impressive capacity of up to 27 petabytes (PB) of data storage within a single server rack. The Diamondback is designed to meet the increasing demands for data storage, offering scalability and reliability for organizations needing to manage vast amounts of information securely and efficiently
- In June 2022, SAS Institute expanded its capabilities by acquiring Kamakura Corporation, enhancing its portfolio with integrated risk solutions. This acquisition focuses on delivering specialized professional services in Asset Liability Management (ALM) and other financial sectors, including banking. By combining resources and expertise, SAS aims to offer comprehensive solutions that address complex risk management challenges, helping organizations make informed financial decisions and navigate market uncertainties effectively
Frequently Asked Questions
The market is segmented based on Segmentation, By Component Type (Platform, Services, Support and Maintenance, Consulting, and Deployment and Integration), Function Division (Marketing, Sales, Logistics, Finance and Accounting, Customer Support, Business Operations, and Others), Deployment Model (On-Premises and Cloud based), Organization Size (Small and Medium-sized Enterprises (SMEs), Large Enterprises), End User Application (Banking, Financial Services, and Insurance (BFSI), Telecom and IT, Retail and E-commerce, Healthcare and Life sciences, Manufacturing, Energy and Utilities, Media and Entertainment, Transportation and Logistics, Government, and Others) – Industry Trends and Forecast to 2031
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The Global Data Science Platform Market size was valued at USD 158.59 USD Billion in 2023.
The Global Data Science Platform Market is projected to grow at a CAGR of 29% during the forecast period of 2024 to 2031.
The major players operating in the market include , List provided in description ,.
The market report covers data from the U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
