Data Science Platform Market: Global Industry Analysis and Forecast (2024-2030)

Global Data Science Platform Market size was valued at USD 96.2 Billion in 2023 and the total Data Science Platform Market revenue is expected to grow at 26.8 % from 2024 to 2030, reaching nearly USD 507 Billion. Data science combines scientific techniques, procedures, algorithms, and systems to conclude information and insights from noisy, structured, and unstructured data, and apply that knowledge across various application areas. Data mining, machine learning, and big data are connected to data science. Data Science Platform MarketTo know about the Research Methodology:- Request Free Sample Report The data science platform market is flourishing because of the volume and complexity of data businesses generate. These platforms provide united environments for collecting, storing, analysing, and visualizing data, empowering organizations to remove illegal insights. The data science platform market exhibits robust growth, expected to reach USD 507 billion by 2030, driven by factors like: 1. Rising demand for data-driven decision-making across commerce. 2. Increasing adoption of cloud computing, facilitating data storage and processing. 3. Advancements in artificial intelligence and machine learning, require strong platforms for integration. 4. Government initiatives, and greater internet penetration, have enabled regions like Asia Pacific and Europe to catch up and present significant growth opportunities. Despite its potential, the report also explains the data science platform market faces challenges like talent scarcity and the need for continuous innovation to keep in step with evolving technologies. Overall, the market offers immense opportunities for businesses to leverage the power of data for informed decision-making and gaining a competitive edge. The competitive landscape is, with established players like Microsoft Azure, IBM Watson, Amazon SageMaker, and Google Cloud AI Platform opposing for market share. Open-source options like Apache Spark and RStudio also hold significant ground.

Data Science Platform Market Dynamics:

Rising Data Volumes and Complexity Data Science Platform Market The primary driver behind the growth of the data science platform market is the relentless surge in data volumes and complexity. Visualize data as an overwhelming surge, expected to reach 175 zettabytes by 2025. Including sensor readings and social media posts, adding layers of complexity. The driver lies in the necessity for solutions that navigate and make sense of this intricate data ecosystem. Data science platforms (DSPs) emerge as the solution, offering the infrastructure to ingest, store, and analyze the ever-expanding data ocean. This driver has a physical impact on the market, with studies indicating that organizations leveraging advanced analytics experience 8.96 % higher revenue growth. Key players in the market, including Microsoft Azure, IBM Watson, Amazon Sage-Maker, and Google Cloud AI Platform, are actively contributing to this growth, vying for market share. Regions such as Asia Pacific and Europe are witnessing substantial opportunities, with government initiatives, enhanced internet penetration, and growing awareness driving the adoption of data-driven strategies. The Next-Generation Data Science Platforms The data science platforms have lots of space for additional development. They emerge from unlikely places. Here are a few ideas for next-generation data science platforms: Data Science Platform Market Talent Scarcity Develops Challenges in the Data Science Market The shortage of talent creates challenges for the data science industry and slows down smooth progress. As systems of government increasingly recognize the pivotal role of data scientists and analysts in extracting meaningful insights, the demand for skilled professionals has surged. The limited pool of qualified talent with expertise in areas like machine learning, artificial intelligence, and data analysis poses a significant obstacle. In addition to slowing down innovation, scarcity increases competition for available experts, raising labor prices. The data science market faces the imperative task of addressing this talent gap through strategic initiatives such as educational programs, upskilling opportunities, and collaborative efforts between academia and industry to cultivate a robust pipeline of skilled professionals. Overcoming talent scarcity is essential for solving the potential of data science and ensuring sustained growth and innovation in the market. Rising R&D Investment and Advancements in Technologies Substantial investments in research and development are poised to create lucrative prospects for the data science platform market, contributing to its accelerated growth. Additionally, the swift progress in cutting-edge technologies like artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) presents a multitude of growth avenues within the market. These ongoing advancements underscore the market's dynamism, signaling the potential for continuous expansion in the foreseeable future.

Data Science Platform Market Segment Analysis:

By Components, the platform segment dominated the market in 2023, with 35.2% of total shares. Driven by the increased usage of data technology by big and medium-sized businesses. The market is divided into platforms and services based on its components. Companies are concentrating on implementing products that provide uniformity and repeatability. This is possible by implementing data science platforms. The services segment is expected to grow at a CAGR of 7.8 % during the forecast period. Training, consultation, deployment, integration, maintenance, and support are some of the services offered by market leaders. With data science platforms providing significant growth prospects, more businesses are seeking methods to incorporate technology platforms into their working environment to reap productivity and efficiency gains. Data Science Platform Market By Vertical, in 2023, with the digitalization of the BFSI segment, rapid adoption of machine learning, artificial intelligence techniques for data management, and enhanced customer experience the BFSI segment commanded a substantial revenue share, surpassing 21.9%. The healthcare sector's rapid growth, having a CAGR of 8.3%, is driven by one of the platform's prominent applications in medical imaging. The healthcare segment's increasing adoption is highlighted by a significant focus on enhancing healthcare delivery. Also, data science platforms find utility in the IT and telecommunications industries, contributing to heightened productivity and efficiency. These platforms streamline routine operations and provide comprehensive insights from diverse data sources. In the retail and e-commerce domains, machine learning-driven decisions facilitated by data science technologies drive accelerated technology adoption. Furthermore, the manufacturing segment is slated for substantial growth as the use of data science platforms becomes more prevalent, optimizing job and operational efficiency throughout the forecast period. Data Science Platform Market

Data Science Platform Market Regional Insights:

In 2023, North America dominated the global revenue share, contributing around 37.5%. This significant market presence is driven by regional players increasingly highlighting the continuing growth of data science platforms. For instance, technology giant Oracle bolstered the trend by unveiling a cloud-based data science platform in February 2020, featuring attributes such as shared projects, team security policies, suitability, reproducibility, and model catalogs. The European market has been second-largest market share in 2023, driven by the escalating adoption of data-driven digital transformation and a growing number of firms leveraging technology to advance their growth strategies. The Asia Pacific (APAC) region consistently presents favorable market opportunities for Data Science Platform solutions and services. Japan, China, and India offer various potential opportunities due to their rapidly advancing technology-based economic structures. Consequently, APAC is expected to show the swiftest demand growth for Data Science Platform software and services throughout the forecast period. Data Science Platform Market Competitive Landscapes: Competitive Landscape of Data Science The competitive landscape for the data science market is characterized by significant trends and players. As of 2024, the market is witnessing substantial growth, with a focus on various industries such as BFSI, Health and Life Sciences, and IT. Businesses are realizing how important data is to improving customer experiences, operations, and overall growth. AI-driven inventions, changing data ethics, and other revolutionary changes are the key focus areas of the key players in the Data Science market. The key players in the Data Science Market Include AWS, Google, Microsoft, IBM, Alibaba Cloud, Rexer Analytics, RapidMiner Inc., and Domino Data Lab Inc. Domino Data Lab Inc. - Domino Data Lab, a provider of Enterprise MLOps platform, recently secured a $100 million funding round in October 2021. The Series F round was led by Great Hill Partners, with an expanded partnership with NVIDIA, which also participated in the round. This investment brings the company's total funding to $228 million. The funding is aimed at accelerating the company's growth and innovation to help its customers address the world's most important challenges. RapidMiner Inc. - In September 2022, RapidMiner Inc., which offers business artificial intelligence platforms, closed a fundraising round for $20 million. With cooperation from previous investors, Altair, a new investor, led the investment round. The funding will be used to boost the platform's functionality, broaden the company's worldwide reach, and quicken its growth and innovation. With this fundraising round, the company has raised a total of $57 million in capital. Alteryx Inc.- Through its Alteryx Ventures division, Alteryx made a strategic investment in Bigeye, a data observability platform, in December 2023. The investment was made to expand Bigeye's global reach and data observability platform. With this investment, Bigeye has raised $68.5 million in total funds.

Data Science Platform Market Scope: Inquire before buying

Data Science Platform Market
Report Coverage Details
Base Year: 2023 Forecast Period: 2024-2030
Historical Data: 2018 to 2023 Market Size in 2023: US $ 96.2 Bn.
Forecast Period 2024 to 2030 CAGR: 26.8% Market Size in 2030: US $ 507 Bn.
Segments Covered: by Component Platform Services Others (Support and maintenance, Consulting, Etc.)
by Deployment Cloud On-premises
by Organization Size Small and Medium-Sized Enterprises Large Enterprises
by Vertical BFSI Retail and e-commerce Telecom and IT Media and Entertainment Healthcare and Life Sciences Government and Defense Manufacturing Others (Travel and Hospitality, Education and Research)

Data Science Platform Market, by Region

North America (United States, Canada and Mexico) Europe (UK, France, Germany, Italy, Spain, Sweden, Austria, Turkey, Russia and Rest of Europe) Asia Pacific (China, India, Japan, South Korea, Australia, ASEAN and Rest of APAC) Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A) South America (Brazil, Argentina, Columbia and Rest of South America)

Data Science Platform Market Key Players:

North America Data Science Platform Market Key Players 1. AWS (United States) 2. Google (United States) 3. Microsoft (United States) 4. IBM(United States) 5. SAS(United States) 6. MathWorks (United States) 7. Cloudera (United States) 8. Tibco Software (United States) 9. Alibaba Cloud (United States) 10. Alteryx Inc. (United States) 11. Cloudera Inc. (United States) 12. Datarobot Inc. (United States) 13. Domino Data Lab Inc. (United States) 14. Databricks (United States) 15. IBM Corporation (United States) 16. Rexer Analytics (United States)(United States) 17. RapidMiner Inc. (United States) 18. Rapid Insight (United States) 19. Wolfram (United States) 20. Apheris (Germany) 21. SAP (Germany) 22. Dataiku (France) FAQs: 1. Which region is expected to dominate the Data Science Platform Market at the end of the forecast period? Ans. North America is expected to dominate the Data Science Platform Market. 2. Which are the primary companies in data science in China? Ans. Baidu, Alibaba, and Tencent are the primary companies in data science in China. 3. What is expected to drive the growth of the Data Science Platform market in the forecast period? Ans. The developments within the AI and ML industry are expected to drive the growth of the Data Science Platform market in the forecast period. 4. What is the projected market size and growth rate of the Data Science Platform Market? Ans. Global Data Science Platform Market size was valued at USD 96.2 Billion in 2023 and the total Data Science Platform Market revenue is expected to grow at 26.8 % from 2024 to 2030, reaching nearly USD 507 Billion. 5. What segments are covered in the Data Science Platform Market report? Ans. The segments covered are Component, Deployment, Organization Size, Vertical, and Region
1. Data Science Platform Market Introduction 1.1. Study Assumption and Market Definition 1.2. Scope of the Study 1.3. Executive Summary 2. Data Science Platform Market: Dynamics 2.1. Data Science Platform Market Trends by Region 2.1.1. North America Data Science Platform Market Trends 2.1.2. Europe Data Science Platform Market Trends 2.1.3. Asia Pacific Data Science Platform Market Trends 2.1.4. Middle East and Africa Data Science Platform Market Trends 2.1.5. South America Data Science Platform Market Trends 2.2. Data Science Platform Market Dynamics by Region 2.2.1. North America 2.2.1.1. North America Data Science Platform Market Drivers 2.2.1.2. North America Data Science Platform Market Restraints 2.2.1.3. North America Data Science Platform Market Opportunities 2.2.1.4. North America Data Science Platform Market Challenges 2.2.2. Europe 2.2.2.1. Europe Data Science Platform Market Drivers 2.2.2.2. Europe Data Science Platform Market Restraints 2.2.2.3. Europe Data Science Platform Market Opportunities 2.2.2.4. Europe Data Science Platform Market Challenges 2.2.3. Asia Pacific 2.2.3.1. Asia Pacific Data Science Platform Market Drivers 2.2.3.2. Asia Pacific Data Science Platform Market Restraints 2.2.3.3. Asia Pacific Data Science Platform Market Opportunities 2.2.3.4. Asia Pacific Data Science Platform Market Challenges 2.2.4. Middle East and Africa 2.2.4.1. Middle East and Africa Data Science Platform Market Drivers 2.2.4.2. Middle East and Africa Data Science Platform Market Restraints 2.2.4.3. Middle East and Africa Data Science Platform Market Opportunities 2.2.4.4. Middle East and Africa Data Science Platform Market Challenges 2.2.5. South America 2.2.5.1. South America Data Science Platform Market Drivers 2.2.5.2. South America Data Science Platform Market Restraints 2.2.5.3. South America Data Science Platform Market Opportunities 2.2.5.4. South America Data Science Platform Market Challenges 2.3. PORTER’s Five Forces Analysis 2.4. PESTLE Analysis 2.5. Technology Roadmap 2.6. Regulatory Landscape by Region 2.6.1. North America 2.6.2. Europe 2.6.3. Asia Pacific 2.6.4. Middle East and Africa 2.6.5. South America 2.7. Key Opinion Leader Analysis For Data Science Platform Industry 2.8. Analysis of Government Schemes and Initiatives For Data Science Platform Industry 2.9. Data Science Platform Market Trade Analysis 2.10. The Global Pandemic Impact on Data Science Platform Market 3. Data Science Platform Market: Global Market Size and Forecast by Segmentation by Demand and Supply Side (by Value in USD Million) 2023-2030 3.1. Data Science Platform Market Size and Forecast, by Component (2023-2030) 3.1.1. Platform 3.1.2. Services 3.1.3. Others (Support and maintenance, Consulting, Etc.) 3.2. Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 3.2.1. Cloud 3.2.2. On-premises 3.3. Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 3.3.1. Small and Medium-Sized Enterprises 3.3.2. Large Enterprises 3.4. Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 3.4.1. BFSI 3.4.2. Retail and e-commerce 3.4.3. Telecom and IT 3.4.4. Media and Entertainment 3.4.5. Healthcare and Life Sciences 3.4.6. Government and Defense 3.4.7. Manufacturing 3.4.8. Others (Travel and Hospitality, Education and Research) 3.5. Data Science Platform Market Size and Forecast, by Region (2023-2030) 3.5.1. North America 3.5.2. Europe 3.5.3. Asia Pacific 3.5.4. Middle East and Africa 3.5.5. South America 4. North America Data Science Platform Market Size and Forecast by Segmentation (by Value in USD Million) 2023-2030 4.1. North America Data Science Platform Market Size and Forecast, by Component (2023-2030) 4.1.1. Platform 4.1.2. Services 4.1.3. Others (Support and maintenance, Consulting, Etc.) 4.2. North America Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 4.2.1. Cloud 4.2.2. On-premises 4.3. North America Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 4.3.1. Small and Medium-Sized Enterprises 4.3.2. Large Enterprises 4.4. North America Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 4.4.1. BFSI 4.4.2. Retail and e-commerce 4.4.3. Telecom and IT 4.4.4. Media and Entertainment 4.4.5. Healthcare and Life Sciences 4.4.6. Government and Defense 4.4.7. Manufacturing 4.4.8. Others (Travel and Hospitality, Education and Research) 4.5. North America Data Science Platform Market Size and Forecast, by Country (2023-2030) 4.5.1. United States 4.5.1.1. United States Data Science Platform Market Size and Forecast, by Component (2023-2030) 4.5.1.1.1. Platform 4.5.1.1.2. Services 4.5.1.1.3. Others (Support and maintenance, Consulting, Etc.) 4.5.1.2. United States Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 4.5.1.2.1. Cloud 4.5.1.2.2. On-premises 4.5.1.3. United States Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 4.5.1.3.1. Small and Medium-Sized Enterprises 4.5.1.3.2. Large Enterprises 4.5.1.4. United States Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 4.5.1.4.1. BFSI 4.5.1.4.2. Retail and e-commerce 4.5.1.4.3. Telecom and IT 4.5.1.4.4. Media and Entertainment 4.5.1.4.5. Healthcare and Life Sciences 4.5.1.4.6. Government and Defense 4.5.1.4.7. Manufacturing 4.5.1.4.8. Others (Travel and Hospitality, Education and Research) 4.5.2. Canada 4.5.2.1. Canada Data Science Platform Market Size and Forecast, by Component (2023-2030) 4.5.2.1.1. Platform 4.5.2.1.2. Services 4.5.2.1.3. Others (Support and maintenance, Consulting, Etc.) 4.5.2.2. Canada Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 4.5.2.2.1. Cloud 4.5.2.2.2. On-premises 4.5.2.3. Canada Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 4.5.2.3.1. Small and Medium-Sized Enterprises 4.5.2.3.2. Large Enterprises 4.5.2.4. Canada Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 4.5.2.4.1. BFSI 4.5.2.4.2. Retail and e-commerce 4.5.2.4.3. Telecom and IT 4.5.2.4.4. Media and Entertainment 4.5.2.4.5. Healthcare and Life Sciences 4.5.2.4.6. Government and Defense 4.5.2.4.7. Manufacturing 4.5.2.4.8. Others (Travel and Hospitality, Education and Research) 4.5.3. Mexico 4.5.3.1. Mexico Data Science Platform Market Size and Forecast, by Component (2023-2030) 4.5.3.1.1. Platform 4.5.3.1.2. Services 4.5.3.1.3. Others (Support and maintenance, Consulting, Etc.) 4.5.3.2. Mexico Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 4.5.3.2.1. Cloud 4.5.3.2.2. On-premises 4.5.3.3. Mexico Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 4.5.3.3.1. Small and Medium-Sized Enterprises 4.5.3.3.2. Large Enterprises 4.5.3.4. Mexico Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 4.5.3.4.1. BFSI 4.5.3.4.2. Retail and e-commerce 4.5.3.4.3. Telecom and IT 4.5.3.4.4. Media and Entertainment 4.5.3.4.5. Healthcare and Life Sciences 4.5.3.4.6. Government and Defense 4.5.3.4.7. Manufacturing 4.5.3.4.8. Others (Travel and Hospitality, Education and Research) 5. Europe Data Science Platform Market Size and Forecast by Segmentation (by Value in USD Million) 2023-2030 5.1. Europe Data Science Platform Market Size and Forecast, by Component (2023-2030) 5.2. Europe Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 5.3. Europe Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 5.4. Europe Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 5.5. Europe Data Science Platform Market Size and Forecast, by Country (2023-2030) 5.5.1. United Kingdom 5.5.1.1. United Kingdom Data Science Platform Market Size and Forecast, by Component (2023-2030) 5.5.1.2. United Kingdom Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 5.5.1.3. United Kingdom Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 5.5.1.4. United Kingdom Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 5.5.2. France 5.5.2.1. France Data Science Platform Market Size and Forecast, by Component (2023-2030) 5.5.2.2. France Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 5.5.2.3. France Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 5.5.2.4. France Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 5.5.3. Germany 5.5.3.1. Germany Data Science Platform Market Size and Forecast, by Component (2023-2030) 5.5.3.2. Germany Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 5.5.3.3. Germany Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 5.5.3.4. Germany Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 5.5.4. Italy 5.5.4.1. Italy Data Science Platform Market Size and Forecast, by Component (2023-2030) 5.5.4.2. Italy Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 5.5.4.3. Italy Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 5.5.4.4. Italy Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 5.5.5. Spain 5.5.5.1. Spain Data Science Platform Market Size and Forecast, by Component (2023-2030) 5.5.5.2. Spain Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 5.5.5.3. Spain Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 5.5.5.4. Spain Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 5.5.6. Sweden 5.5.6.1. Sweden Data Science Platform Market Size and Forecast, by Component (2023-2030) 5.5.6.2. Sweden Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 5.5.6.3. Sweden Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 5.5.6.4. Sweden Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 5.5.7. Austria 5.5.7.1. Austria Data Science Platform Market Size and Forecast, by Component (2023-2030) 5.5.7.2. Austria Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 5.5.7.3. Austria Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 5.5.7.4. Austria Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 5.5.8. Rest of Europe 5.5.8.1. Rest of Europe Data Science Platform Market Size and Forecast, by Component (2023-2030) 5.5.8.2. Rest of Europe Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 5.5.8.3. Rest of Europe Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 5.5.8.4. Rest of Europe Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 6. Asia Pacific Data Science Platform Market Size and Forecast by Segmentation (by Value in USD Million) 2023-2030 6.1. Asia Pacific Data Science Platform Market Size and Forecast, by Component (2023-2030) 6.2. Asia Pacific Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 6.3. Asia Pacific Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 6.4. Asia Pacific Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 6.5. Asia Pacific Data Science Platform Market Size and Forecast, by Country (2023-2030) 6.5.1. China 6.5.1.1. China Data Science Platform Market Size and Forecast, by Component (2023-2030) 6.5.1.2. China Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 6.5.1.3. China Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 6.5.1.4. China Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 6.5.2. S Korea 6.5.2.1. S Korea Data Science Platform Market Size and Forecast, by Component (2023-2030) 6.5.2.2. S Korea Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 6.5.2.3. S Korea Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 6.5.2.4. S Korea Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 6.5.3. Japan 6.5.3.1. Japan Data Science Platform Market Size and Forecast, by Component (2023-2030) 6.5.3.2. Japan Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 6.5.3.3. Japan Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 6.5.3.4. Japan Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 6.5.4. India 6.5.4.1. India Data Science Platform Market Size and Forecast, by Component (2023-2030) 6.5.4.2. India Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 6.5.4.3. India Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 6.5.4.4. India Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 6.5.5. Australia 6.5.5.1. Australia Data Science Platform Market Size and Forecast, by Component (2023-2030) 6.5.5.2. Australia Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 6.5.5.3. Australia Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 6.5.5.4. Australia Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 6.5.6. Indonesia 6.5.6.1. Indonesia Data Science Platform Market Size and Forecast, by Component (2023-2030) 6.5.6.2. Indonesia Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 6.5.6.3. Indonesia Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 6.5.6.4. Indonesia Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 6.5.7. Malaysia 6.5.7.1. Malaysia Data Science Platform Market Size and Forecast, by Component (2023-2030) 6.5.7.2. Malaysia Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 6.5.7.3. Malaysia Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 6.5.7.4. Malaysia Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 6.5.8. Vietnam 6.5.8.1. Vietnam Data Science Platform Market Size and Forecast, by Component (2023-2030) 6.5.8.2. Vietnam Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 6.5.8.3. Vietnam Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 6.5.8.4. Vietnam Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 6.5.9. Taiwan 6.5.9.1. Taiwan Data Science Platform Market Size and Forecast, by Component (2023-2030) 6.5.9.2. Taiwan Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 6.5.9.3. Taiwan Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 6.5.9.4. Taiwan Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 6.5.10. Rest of Asia Pacific 6.5.10.1. Rest of Asia Pacific Data Science Platform Market Size and Forecast, by Component (2023-2030) 6.5.10.2. Rest of Asia Pacific Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 6.5.10.3. Rest of Asia Pacific Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 6.5.10.4. Rest of Asia Pacific Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 7. Middle East and Africa Data Science Platform Market Size and Forecast by Segmentation (by Value in USD Million) 2023-2030 7.1. Middle East and Africa Data Science Platform Market Size and Forecast, by Component (2023-2030) 7.2. Middle East and Africa Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 7.3. Middle East and Africa Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 7.4. Middle East and Africa Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 7.5. Middle East and Africa Data Science Platform Market Size and Forecast, by Country (2023-2030) 7.5.1. South Africa 7.5.1.1. South Africa Data Science Platform Market Size and Forecast, by Component (2023-2030) 7.5.1.2. South Africa Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 7.5.1.3. South Africa Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 7.5.1.4. South Africa Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 7.5.2. GCC 7.5.2.1. GCC Data Science Platform Market Size and Forecast, by Component (2023-2030) 7.5.2.2. GCC Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 7.5.2.3. GCC Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 7.5.2.4. GCC Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 7.5.3. Nigeria 7.5.3.1. Nigeria Data Science Platform Market Size and Forecast, by Component (2023-2030) 7.5.3.2. Nigeria Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 7.5.3.3. Nigeria Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 7.5.3.4. Nigeria Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 7.5.4. Rest of ME&A 7.5.4.1. Rest of ME&A Data Science Platform Market Size and Forecast, by Component (2023-2030) 7.5.4.2. Rest of ME&A Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 7.5.4.3. Rest of ME&A Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 7.5.4.4. Rest of ME&A Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 8. South America Data Science Platform Market Size and Forecast by Segmentation (by Value in USD Million) 2023-2030 8.1. South America Data Science Platform Market Size and Forecast, by Component (2023-2030) 8.2. South America Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 8.3. South America Data Science Platform Market Size and Forecast, by Organization Size(2023-2030) 8.4. South America Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 8.5. South America Data Science Platform Market Size and Forecast, by Country (2023-2030) 8.5.1. Brazil 8.5.1.1. Brazil Data Science Platform Market Size and Forecast, by Component (2023-2030) 8.5.1.2. Brazil Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 8.5.1.3. Brazil Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 8.5.1.4. Brazil Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 8.5.2. Argentina 8.5.2.1. Argentina Data Science Platform Market Size and Forecast, by Component (2023-2030) 8.5.2.2. Argentina Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 8.5.2.3. Argentina Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 8.5.2.4. Argentina Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 8.5.3. Rest Of South America 8.5.3.1. Rest Of South America Data Science Platform Market Size and Forecast, by Component (2023-2030) 8.5.3.2. Rest Of South America Data Science Platform Market Size and Forecast, by Deployment (2023-2030) 8.5.3.3. Rest Of South America Data Science Platform Market Size and Forecast, by Organization Size (2023-2030) 8.5.3.4. Rest Of South America Data Science Platform Market Size and Forecast, by Vertical (2023-2030) 9. Global Data Science Platform Market: Competitive Landscape 9.1. MMR Competition Matrix 9.2. Competitive Landscape 9.3. Key Players Benchmarking 9.3.1. Company Name 9.3.2. Business Segment 9.3.3. End-user Segment 9.3.4. Revenue (2022) 9.3.5. Company Locations 9.4. Leading Data Science Platform Market Companies, by market capitalization 9.5. Market Structure 9.5.1. Market Leaders 9.5.2. Market Followers 9.5.3. Emerging Players 9.6. Mergers and Acquisitions Details 10. Company Profile: Key Players 10.1. AWS (United States) 10.1.1. Company Overview 10.1.2. Business Portfolio 10.1.3. Financial Overview 10.1.4. SWOT Analysis 10.1.5. Strategic Analysis 10.1.6. Scale of Operation (small, medium, and large) 10.1.7. Details on Partnership 10.1.8. Regulatory Accreditations and Certifications Received by Them 10.1.9. Awards Received by the Firm 10.1.10. Recent Developments 10.2. Google (United States) 10.3. Microsoft (United States) 10.4. IBM(United States) 10.5. SAS(United States) 10.6. MathWorks (United States) 10.7. Cloudera (United States) 10.8. Tibco Software (United States) 10.9. Alibaba Cloud (United States) 10.10. Alteryx Inc. (United States) 10.11. Cloudera Inc. (United States) 10.12. Datarobot Inc. (United States) 10.13. Domino Data Lab Inc. (United States) 10.14. Databricks (United States) 10.15. IBM Corporation (United States) 10.16. Rexer Analytics (United States)(United States) 10.17. RapidMiner Inc. (United States) 10.18. Rapid Insight (United States) 10.19. Wolfram (United States) 10.20. Apheris (Germany) 10.21. SAP (Germany) 10.22. Dataiku (France) 11. Key Findings 12. Industry Recommendations 13. Data Science Platform Market: Research Methodology 14. Terms and Glossary
  • INQUIRE BEFORE BUYING