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Data science platform market size to grow at a CAGR of 26.78% by 2027, North America will account for a significant share of the global market growth, Technavio

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NEW YORK, March 1, 2024 /PRNewswire/ — According to Technavio, the global data science platform market size is estimated to grow by USD 2,49,147.71 million from 2022 to 2027. The market is estimated to grow at a CAGR of 26.78% during the forecast period. The report includes historic market data from 2017 to 2021. In 2017, the market was valued at USD 37,419.53 million. By geography, the global data science platform market is segmented into North America, Europe, APAC, South America, and Middle East and Africa. The report provides actionable insights and estimates the contribution of all regions to the growth of the global market. North America will account for a significant share of the global market during the forecast period. The growth of the market in North America is driven by the increase in data generation across various industries, such as the retail, BFSI, healthcare, and public sectors, due to the increase in digital transformation, such as digitalization of workspace, access via mobile apps and websites, online transactions, online purchases and sells, and virtualization of desktops. Request a sample report

Report Coverage

Details

Page number

168

Base year

2022

Historic period

2017-2021

Forecast period

2023-2027

Growth momentum & CAGR

Accelerate at a CAGR of 26.78%

Market growth 2023-2027

USD 249.15 billion

Market structure

Fragmented

YoY growth 2022-2023(%)

25.6

Regional analysis

North America, Europe, APAC, South America, and Middle East and Africa

Performing market contribution

North America at 39%

Key countries

US, Canada, China, Germany, and UK

Most banks in the US are leveraging data science technologies to gain a competitive edge over their competitors. Big data analytics services, which are one of the popular applications of data science, help firms achieve real-time marketing, integration of e-commerce platforms with payment processing, and facilitate the small loans and microloans market in the US. Thus, the increased adoption of big data analytics is expected to enhance the growth of the financial services spending market in North America, which in turn, is expected to, drive the growth of the market in the region. The report provides a comprehensive analysis of growth opportunities at regional levels, new product launches, the latest trends, and the post-pandemic recovery of the global market. For more insights on the market, Request a sample report

The global market is fragmented, and the five forces analysis covers– 

Bargaining power of buyers The threat of new entrantsThreat of rivalryBargaining power of suppliersThreat of substitutesInterpretation of porter’s five models helps to strategize the business, for entire details, buy the report!

Customer Landscape 
The report includes the market’s adoption lifecycle, from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their growth strategies.

Segment Overview
Technavio has segmented the market based on component (Platform and Services), and deployment (On-premise and Cloud). 

The platform segment will account for a significant share of the global market during the forecast period. Data science platforms that are considered the best usually offer the flexibility of open-source tools and the scalability of elastic computer resources. Some of the best data science platforms include Alteryx Analytics, Microsoft Azure ML studio, and the RapidMiner platform. These platforms enable data-driven business decisions, and enterprises are investing in data science platforms and advanced analytics capabilities to improve business outcomes. Therefore, this will drive the growth of the platform segment during the forecast period. Download a Sample Report

The high generation of data volumes

Enterprise applications are generating large volumes of data, and this will keep continuing throughout the forecast period and beyond. Moreover, the increasing volume of data generated in organizations through various channels and sources has compelled organizations to implement big data analytics and save a significant amount of cost for organizations.Data science platforms and associated technologies have helped organizations transform unstructured and semi-structured data into structured and meaningful data. Big data analytics, a popular data science application, can be used for retrieving and analyzing data to discover significant weaknesses, develop indicator patterns to identify opportunities and threats; and optimize business decisions.As data volumes are growing, the demand for data analytics is also growing, which is expected to drive the growth of the market during the forecast period.

The growing dependency on the internet is the primary trend in the global market. Increasing threat from open-source vendors is a major challenge to the growth of the global market. Find more insights in a sample report!

Analyst Review

In today’s rapidly evolving digital landscape, the market stands as a pivotal arena where innovation intersects with necessity. With the advent of Big Data, social media, and the Internet of Things (IoT), the volume and variety of data generated have reached unprecedented levels. This deluge includes multimedia files, structured data, unstructured data, machine-based data, and human-generated data alike, originating from diverse sources such as business data, machine data, and consumers through channels like smartphones and social media posts.

To effectively harness this data reservoir, organizations increasingly rely on sophisticated database systems, including traditional relational databases and those capable of handling unstructured documents, social media posts, and machine logs alongside images. Facilitating this process are data science platforms, comprehensive ecosystems equipped with data science tools and technologies that empower enterprises to extract insights and drive business problem solving and decision-making.

In adopting data-driven approaches, enterprises deploy data-intensive business strategies supported by advanced analytics techniques including streaming analytics, machine learning (ML), and predictive analytics. These platforms cater to diverse verticals such as BFSI, healthcare and life sciences, manufacturing, Retail and eCommerce, Telecom and IT, Media and Entertainment, Government and Defense, Transportation and Logistics, Energy and Utilities, travel and hospitality, and education and research.

Within this market, service offerings play a pivotal role. Professional services encompass support and maintenance, deployment and integration, and managed services, ensuring seamless implementation and operation. As organizations span organization size from large enterprise segment to small and medium-sized businesses (SMBs), deployment modes range from on-premises segment to cloud computing, catering to diverse needs and preferences.

Ultimately, the market serves as the bedrock for unlocking the full potential of data, driving innovation, and empowering enterprises to thrive in an increasingly data-centric world. By embracing best practices and leveraging cutting-edge technologies, organizations can effectively navigate this landscape, transforming data into a strategic asset that propels them towards success. Find more insights in a sample report!

Related Reports:

The artificial intelligence platforms market size is expected to increase to USD 31,255.01 million from 2022 to 2027, and the market’s growth momentum will accelerate at a CAGR of 34.86%.The size of the DevOps platform market is expected to increase by USD 25,113.89. million from 2022 to 2027, and the market’s growth momentum will accelerate at a CAGR of 24.5%.

TOC

Executive SummaryMarket LandscapeMarket SizingHistoric Market SizeFive Forces AnalysisMarket Segmentation by ComponentMarket Segmentation by DeploymentCustomer LandscapeGeographic LandscapeDrivers, Challenges, and TrendsCompany LandscapeCompany AnalysisAppendix

About US
Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provide actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contact
Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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EPG Publishes Inaugural ESG Report, Establishing Baseline for Sustainable Global Expansion

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SINGAPORE, April 19, 2026 /PRNewswire/ — EPG today released its 2025 ESG Report, outlining its sustainability approach and performance across global operations as it scales internationally.

Environmental EPG achieved full compliance with applicable environmental regulations, with 100% of waste treated and disposed of. The company completed its inaugural greenhouse gas (GHG) inventory, encompassing Scope 1, Scope 2, and key Scope 3 categories, establishing the foundation for its emissions management strategy and long-term decarbonization roadmap.

Social Female represented 31% of total employees, and 85% of employees recruited locally in Malaysia hold managerial positions. EPG maintained a diversified supply chain, with approximately 47% of suppliers based outside of mainland China.

Governance As of the date of this press release, the EPG Board of Directors includes two female directors, representing 22% of board members. The Board convened two meetings with 100% attendance.

As EPG matures its ESG framework, the company is forming a dedicated ESG Committee to oversee this progress. ESG management systems will be embedded into existing and planned facilities, starting with its Malaysia manufacturing plant currently under construction. EPG will also extend these standards through its supply chain at its upcoming Shanghai partner conference.

“Scaling globally only means something if we scale responsibly,” said Alick Wan, EPG Founder and Chairman. “We see an opportunity to redefine what sustainable infrastructure looks like for the AI era — proving that high performing infrastructure can also carry light footprint. We believe modular is how the industry gets there.”

EPG is proud to have contributed to the book Greener Data, Volume III, launching on Earth Day 2026. The chapter shared EPG’s philosophy on how modular construction reduces on-site waste, lowers embodied carbon, and enables full lifecycle sustainability, making the case that responsible scaling and commercial ambition are not in conflict.

Following approximately $200 million in Series B and B+ financing, EPG will keep strengthening company-wide ESG governance and scale its modular approach across an expanding international footprint.

Read the full report: https://www.epg-module.com/list-27-1.html

Contact: communications@epg-module.com

About EPG

EPG is a Singapore-headquartered provider of modular and prefabricated data center infrastructure, powered by dual R&D centers in Singapore and Shanghai and advanced manufacturing hubs in Malaysia and China. With over 20 years of engineering expertise, EPG delivers innovative and sustainable solutions for hyperscale, cloud, and enterprise deployments across APAC, EMEA, and other global markets.

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SOURCE EPG Singapore Pte Ltd

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Simpli5 Announces Platform Expansion Designed to Close the Gap Between Self-Awareness and Team Action

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Behavioral intelligence leader addresses the knowing-doing problem that leaves most assessment investments unrealized

AUSTIN, Texas, April 19, 2026 /PRNewswire/ — Simpli5, the behavioral intelligence platform that powers team effectiveness at organizations including LinkedIn, Kaiser Permanente, and Notion, today announced a significant expansion of its platform aimed at solving one of the most persistent challenges in enterprise learning and development: the knowing-doing gap.

While behavioral assessments have proliferated across the Fortune 500, the vast majority of users never return to their insights after initial onboarding — leaving significant organizational investment unrealized. The upcoming Simpli5 release is engineered specifically to close that gap, translating one-time self-awareness into an ongoing team practice embedded in the flow of daily work.

“Self-awareness that lives in a report is just data. Self-awareness that lives in your daily relationships is transformation,” said Karen Wright Gordon, Founder and CEO of Simpli5. “We built this because we knew the highest-value moments in our platform were sitting unused for too many users. These features are about closing that gap without adding friction.”

The expansion introduces a suite of interconnected capabilities designed to keep behavioral insights present in the flow of daily work — accessible at the moments that matter most, and creating reinforcing loops that grow in value as organizational adoption scales.

Unlike point-in-time assessments, Simpli5 is engineered to compound in value over time. Each connection made, each insight applied, and each colleague activated increases the network intelligence available to every user on the platform. The upcoming release is designed to accelerate that compounding effect.

Full feature details and availability will be announced in the coming weeks.

About Simpli5

Simpli5 powered by 5 Dynamics is a behavioral intelligence platform built on the science of five natural work energy phases: Explore, Excite, Examine, Execute, and Evaluate. Unlike static assessment tools, Simpli5 is a living team intelligence platform that deepens in value as adoption scales across an organization. Its AI coaching product, SenSai, delivers personalized behavioral insights at the moment of need.

For more information, visit simpli5.com.

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SK hynix Begins Mass Production of 192GB SOCAMM2 ‘Setting a New Standard for AI Server Memory Performance’

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–     Mass production of 192GB high capacity products designed for the NVIDIA Vera Rubin platform
–     Maximizes power efficiency by featuring high density DRAM based on the latest 1cnm process
–     Company to closely collaborate with NVIDIA to solve bottlenecks in AI infrastructure and provide optimal performance

SEOUL, South Korea, April 19, 2026 /PRNewswire/ — SK hynix Inc. (or “the company”, www.skhynix.com) announced today that it has begun mass production of the 192GB SOCAMM2, a next-generation memory module standard based on the 1cnm process (sixth-generation of the 10-nanometer technology) LPDDR5X low-power DRAM.

SOCAMM2[1] is a module that adapts low-power memory – which was previously used mainly in mobile products like smartphones – for server environments. It is designed to be a primary memory solution for next-generation AI servers.

[1]SOCAMM2 (Small Outline Compression Attached Memory Module 2): An AI server–optimized memory module based on LPDDR. It offers a slim form factor and high scalability, while its compression connector enhances signal integrity and allows for easy module replacement

SK hynix emphasized that the 1cnm based SOCAMM2 product that is now in mass production delivers more than double the bandwidth with over 75% improved power efficiency compared to conventional RDIMM[2], providing an optimized solution for high performance AI operations.

[2]RDIMM (Registered Dual In-Line Memory Module): DRAM module for server/workstation that includes a register or buffer chip to relay address and command signals between the memory controller and DRAM chip in a memory module

In particular, the company noted that its SOCAMM2 products are designed for NVIDIA Vera Rubin platform.

SK hynix expects the new SOCAMM2 product will fundamentally resolve the memory bottlenecks encountered during the training and inference of large language model (LLM) with hundreds of billions of parameters, thereby playing a pivotal role in dramatically accelerating the processing speed of the overall system.

The company stated that with the AI market shifting focus from inference to training, SOCAMM2 is gaining significant attention as a next-generation memory solution capable of operating LLMs with low power consumption. To meet the demands of its global Cloud Service Provider (CSP) customers, SK hynix has not only been providing a supply portfolio, but also stabilized its mass production system early on.

“By supplying the 192GB SOCAMM2, SK hynix has established a new standard for AI memory performance,” Justin Kim, President & Head of AI Infra (CMO, Chief Marketing Officer) at SK hynix said. “We will solidify our position as the most trusted AI memory solution provider, through close collaboration with our global AI customers.”

About SK hynix Inc.

SK hynix Inc., headquartered in Korea, is the world’s top-tier semiconductor supplier offering Dynamic Random Access Memory chips (“DRAM”) and flash memory chips (“NAND flash”) for a wide range of distinguished customers globally. The Company’s shares are traded on the Korea Exchange, and the Global Depository shares are listed on the Luxembourg Stock Exchange. Further information about SK hynix is available at www.skhynix.com, news.skhynix.com.

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SOURCE SK hynix Inc.

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