Data Science Platform Market Size & Share Analysis - Trends, Drivers, Competitive Landscape, and Forecasts (2025 - 2032)
This Report Provides In-Depth Analysis of the Data Science Platform Market Report Prepared by P&S Intelligence, Segmented by Component (Platform, Services), Deployment Mode (Cloud, On-Premises), Organization Size (Small & Medium Sized Enterprises, Large Enterprises), Business Function (Marketing & Sales, Logistics, Finance & Accounting, Customer Support, Business Operations), Industry (IT & Telecommunication, Healthcare, BFSI, Manufacturing, Retail & E-commerce, Energy and Utilities, Government), and Geographical Outlook for the Period of 2019 to 2032
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Data Science Platform Market Future Prospects
The global data science platform market was valued at USD 117.7 billion in 2024, and it is projected to reach USD 718.3 billion by 2032, growing at a CAGR of 25.6% between 2025 and 2032. This is primarily attributed to the rapid growth in demand for big data technologies along with the increasing penetration of data analytic platforms in various industries. Moreover, the rising volume of data and obtaining access to organizational data from many departments throughout a business is projected to drive the market.
Data science platforms are becoming increasingly popular across the world. The program provides open-source tools with considerable flexibility and scalability of computing resources. It is also simple to align with diverse data architectures. Aside from that, the platform supports version control, allowing the data science team to collaborate on projects without losing previously completed work. Such advantages contribute significantly to the market growth in the coming years.
The surging volume of organization data, fast technical advances, and falling average selling cost of smart devices contribute to the production of vast amounts of unorganized and unstructured data. Over 80% of the data collected by an organization is not stored in a traditional relational database. It is instead hidden in unstructured papers, social media posts, machine logs, photographs, and other sources. The tremendous expansion of data gives chances for companies to obtain new insights, which has boosted the demand for innovative tactics and processes. This, in turn, helps fuel the industry growth over the forecast period.
Data Science Platform Market Trends and Growth Drivers
Technological Advancements in Technologies Are Biggest Trends
Rapid technological improvements are taking place as a result of increasing research and development spending.
As organizations grow, there is a greater demand for technologies that can increase productivity and efficiency.
Also, the use of platforms and software is rising due to the prevalence of technologies like artificial intelligence (AI), machine learning (ML), and the internet of things (IoT).
Studies suggest that global AI spending will cross USD 630 billion by 2028 and that the contribution of this technology to the world economy could be a massive USD 15 trillion by decade-end!
As data quantities rise every day, modern data handling systems and solutions are crucial for the growth of enterprises, which would drive product demand in the market throughout the projected period.
Surging Volumes of Data Is Chief Market Driver
With the increased use of social media, multimedia, and IoT, which have resulted in an overwhelming flow of data in either structured or unstructured format, the volume of data gathered by enterprises is constantly expanding.
For example, about 90% of the world's data has been produced in the last two years.
As per estimates, compared to 41 Zettabytes in 2019, 97 Zettabytes of data were generated in 2022.
Moreover, machine-generated and human-based data are growing at a rate that is around 10 times faster than traditional commercial data.
For instance, the growth rate of the adoption of machine data is exponential and 50 times higher. Consumer-driven and -oriented data predominates.
Consumers who are "always-on," generate most of the data around the globe.
Nowadays, the majority of individuals spend 4–6 hours each day generating and consuming data via a range of gadgets and (social) applications.
Every time people swipe, click, or send a message, fresh information is added to a database somewhere in the world. Because everyone now has a smartphone, enormous volumes of data are being created.
Cost, Workforce, and Privacy Data Challenges Persist in Market
The biggest restraints for the data science platform market are the high cost of these solutions, the lack of skilled professionals to handle them, and the privacy concerns associated with digital information.
Although traditional home-use software is not that expensive, that integrated with AI, ML, and other advanced technologies is.
This makes it inaccessible to the commonfolk, especially in developing countries.
Similarly, organizations face a lack of professionals skilled in implementing, operating, maintaining, and upgrading software that collect, store, share, analyze, and encrypt data.
As per estimates, the world could be more than 85 million skilled IT professionals short, because of which almost 90% of the companies will be impacted.
Specifically, in the U.S., the problem could worsen if the Trump 2.0 administration bows to MAGA protestors, as almost 30% of the IT professionals in the country are immigrants.
The shortage will not only lead to higher wages and hampered operations but also problems in regulatory compliance.
Developed countries have strict and, often, unforgiving, laws to protect data privacy, which could hamper the uptake of advanced data science platforms in the short run.
Data Science Platform Market Analysis
Component Insights
The platforms category accounted for a larger revenue share, of 80% in 2024. This is because large and medium-sized organizations are increasingly utilizing data technologies, and they are focusing on developing products that deliver consistency and efficiency, as a result of implementing data science platforms.
The services category is expected to grow at the higher CAGR over the next few years. Some of the key services offered by well-known companies in this field include training, deployment, consulting, integration, maintenance, and support. Since data science platforms provide tremendous development opportunities, hence more businesses are looking for ways to include them in their working environments in order to enhance efficiency and productivity. As a result, these services are widely employed by firms to effectively integrate the platform into their prevailing environment successfully.
These components have been analyzed:
Platforms (Larger Category)
Services (Faster-Growing Category)
Professional Services
Support & Maintenance
Consulting
Deployment & Integration
Deployment Mode Insights
The on-premises category accounted for the largest revenue share in 2024, in the data science platform market, owing to the surging deployment of data science solutions on-premises. The on-premises deployment approach is used by enterprises in highly regulated verticals such as BFSI, healthcare and life sciences, and manufacturing. Furthermore, major organizations with adequate IT resources are likely to choose the on-premises deployment strategy, as it is the most dependable deployment strategy, allowing them to maintain a high level of control and security.
The cloud bifurcation will have the higher CAGR over the forecast period. This is attributed to the inherent advantages of cloud-based solutions, including scalability, anytime, anywhere access, decentralized nature, and cost-effectiveness. The cloud is of immense benefit to small, underfunded entities as it eliminates the need for expensive onsite IT infrastructure. Moreover, depending on how much control they need over their data, companies can choose between private, public, and hybrid cloud environments.
The deployment modes considered are:
Cloud (Faster-Growing Category)
On-Premises (Larger Category)
Enterprise Size Insights
Large enterprises held the largest market share in 2024, of 60%, and this trend is expected to continue during the forecast period, due to the increasing popularity of cloud technologies among these enterprises. Large organizations collect massive volumes of data from their diversified consumer base. In large enterprises, data is critical for measuring their overall performance. These corporations utilize data science platforms to evaluate data from a range of sources, including social media feeds, sensors, and webcams. Each record must be handled while keeping its link to other data and its chronological sequence in mind.
SMEs are the faster-growing category in the market due to the general trend of digitization and data analytics around the world as being critical to business growth and decision making. The availability of cost-effective, pay-per-use cloud-based data science platforms allows SMEs to advance their operations and stay relevant among the stiff competition. With more than 90% of the companies globally being SMEs, which employ 50% of the worldwide workforce, data science platforms could drastically improve their contribution to the human economy.
The segment is bifurcated as follows:
Small & Medium Sized Enterprises (SMEs) (Faster-Growing Category)
Large Enterprises (Larger Category)
Industry Insights
The BFSI sector held the largest revenue share, of 35%, in 2024, and it is expected to grow at a significant growth rate in the next few years in the data science platform market. The implementation of data science in banking and financial companies has become more than necessary. Data science technology has become a trend in every industry because of how well it works and how readily it simplifies tasks. Moreover, banks will be able to focus their resources more efficiently, make better judgments, and enhance their performance in accordance with their standard objectives with the aid of data science.
Banks have a lot of data from their customers and clients, which is becoming tough to manage. Banks save even little information about their consumers, which must be kept safe. As a result, banks are obligated to gather, analyze, and retain huge volumes of data. Digital banking has grown in popularity and is now commonly utilized. Banks can readily obtain information about customer interactions and preferences through online transactions, and data science may use this data to enhance decision-making processes and create new revenue-generating options for the industry.
The healthcare sector is the fastest-growing category, primarily on account of the burgeoning focus on digital health solutions. From full-fledged hospitals to individual practices, all kinds of healthcare providers are digitizing their documentation and data collection & storage process. Moreover, the rising popularity of telemedicine, mHealth, remote patient monitoring, and precision medicine, is leading to massive volumes of patient data. For instance, the Indian government promotes the digital transformation of the healthcare sector via initiatives such as Ayushman Bharat, Aarogya Setu, CoWIN App, e-Hospital, and e-Sanjeevani.
A lot of this data is also used during drug R&D, clinical trials, and population health management, which makes tools to store, collect, share, and analyze it vital in the contemporary world. The criticality of this data makes it at risk for theft, unauthorized access, and usage for malicious purposes. Hence, several regulations have been implemented to secure the HIT ecosystem, and compliance with them demands data science platforms with robust cybersecurity measures.
Here are the industries covered in the report:
IT & Telecommunication
Healthcare (Fastest-Growing Category)
BFSI (Largest Category)
Manufacturing
Retail & E-commerce
Energy and Utilities
Government
Others
Business Function Insights
The marketing & sales category holds the largest share, and it also has the highest CAGR, of 28%, as the analysis of customer data is vital to creating effective marketing strategies. The strong focus of companies on digital marketing not only leads to the creation of massive volumes of digital information on what people do online but also its analysis for effective decision making. Studies suggest that companies will spend almost USD 1 trillion on digital marketing in 2030, which hints at a massive demand for data science platforms for marketing & sales applications.
We analyzed these business functions:
Marketing & Sales (Largest and Fastest-Growing Category)
Logistics
Finance & Accounting
Customer Support
Business Operations
Others
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Data Science Platform Market Geographical Outlook
North America is the leader in the market for data science platforms, with 45% share, because of its existing infrastructure, a large number of R&D activities, and the presence of key industry players across the region.
Additionally, it is predicted that efficient aftersales services are available and the existence of numerous capital-intensive enterprises in North America boost the demand for data science platforms.
As organizations become more aware of the benefits of these platforms, they continue to incorporate them into their existing operating systems in order to obtain a competitive advantage in the regional market.
APAC is the fastest-growing market with 28.5% CAGR over the forecast period.
This is because of the rampant urbanization and people’s rising living standards, which is reflected in the increase in the uptake of smart, connected gadgets.
APAC also has the largest internet-connected population (over 2.5 billion in 2022), and the internet penetration rates continues to surge.
Governments’ digital transformation initiatives drive internet penetration and advances in connectivity; the rapid expansion of 5G networks is key in this regard.
This creates opportunities for companies across industries to collect and analyze a wide variety of customer data, while complying with data privacy laws.
The following is the geographical breakdown of the market:
The market is fragmented as there a huge number of international regional, and local IT companies offering data science platforms. Moreover, the no-size-fits-all nature of the industry opens opportunities for innovation-driven startups, which compete with a range of tools integrated with AI, ML, NLP, and other cutting-edge technologies. Further, the ready availability of cloud resources makes it easy for smaller companies with inefficient sales networks to reach customers.
Major Companies in Data Science Platform Market:
IBM Corporation
Google LLC
Microsoft Corporation
SAS Institute Inc.
Amazon Web Services Inc.
The MathWorks Inc.
Cloudera Inc.
TIBCO Software Inc.
Teradata Corporation
Alteryx Inc.
SAP SE
Oracle Corporation
Data Science Platform Market News
In December 2024, IBM Corporation announced that it will expand its London data center to the storage region of Wasabi Technologies to enhance data management offerings in the U.K.
In December 2024, Amazon Web Services Inc. deployed its analytics, data, and AI platform to enable BBVA to migrate its entire data platform in Europe and Uruguay to the cloud. AWS also announced that following this successful migration, BBVA
In November 2024, SAS Institute Inc. acquired Hazy, a developer of synthetic data tools, to advance its generative AI capabilities.
In September 2024, Microsoft Corporation announced the Global AI Infrastructure Investment Partnership with BlackRock, MGX, and Global Infrastructure Partners to enhance data center infrastructure in the U.S. This USD 100-billion partnership will focus on AI, computing power, and more-efficient energy systems for these places.
Frequently Asked Questions About This Report
What was the size of the data science platform market in 2024?+
The market for data science platforms valued USD 117.7 billion in 2024.
What is the nature of the data science platform market?+
The data science platform industry is fragmented.
Which is the largest industry in the data science platform market?+
The market for data science platforms is dominated by the BFSI sector.
What are the major drivers for the data science platform market?+
The data science platform industry is driven by the rampant global digitization and rising data volumes.
Which is the fastest-growing region in the data science platform market?+
APAC is the fastest-growing market for data science platforms.
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