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Data Science Platform Market Is Expected To Reach around USD 378.7 Billion by 2030, Grow at a CAGR Of 16.43% during Forecast Period 2023 To 2030 | Data By Contrive Datum Insights Pvt Ltd.

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Farmington, March 09, 2023 (GLOBE NEWSWIRE) — The Data Science Platforms Market Size Was Estimated At USD 96.3 Billion In 2021, And It Is Expected To Hit Around USD 378.7 Billion By 2030, Poised To Grow at a CAGR Of 16.43% Over The Forecast Period 2022 To 2030. As more money is put into research and development, technology is developing quickly. As businesses grow, they need more and more technology that can help them to more productive and efficient. Software and platforms are being used more and more because of technological advances like artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). Advanced tools and platforms for processing data are helping businesses grow a lot as the amount of data they have to deal with grows every day.

One of the most popular types of software in use today is a platform for data science. This software has a number of advanced analytics and machine learning techniques. It gives data scientists the chance to build skills, find insights in data, and share what they’ve learned through solo projects. Data science projects are made up of different tools that are made for each step of the data modelling process.

Today, more and more people are using platforms for data science. This software gives you open-source tools that are very flexible and can be used with a wide range of computer resources. It is also easy to fit into different data architectures. Also, the platform has version control, which lets data science groups work together on projects without losing work that was just finished. These benefits are making a big difference in the growth of the market.

Request Sample Copy of Report “Data Science Platform Market Size, Share & Trends Estimation Report By Component (Platform, Services {Professional Services, Managed Services}, Support and maintenance, Consulting, Deployment and Integration), By Type (Cloud, On-premise, By Application:, Marketing, Sales, Logistics, Finance & Accounting, Customer Support, Others), By Industry Vertical (BFSI, Retail & eCommerce, Telecom & IT, Media & Entertainment, Healthcare & Life Sciences, Government & Defense, Manufacturing, Transportation & Logistics), By Region, And Segment Forecasts, 2023 – 2030”, published by Contrive Datum Insights.

Recent Developments:

  • November 2021, IBM updates IBM SPSS Modeler 18.2.2. The new update comes with a sophisticated and versatile data mining workbench that allows users to easily and easily develop accurate predictive models without programming.
  • In May 2021, Google updates Google Vertex AI, a newly managed ML platform on Google Cloud. The platform is designed to make it easier for developers to deploy and maintain AI models. It’s an unusual announcement from Google I/O, which is usually focused on mobile and web developers and doesn’t usually feature much Google Cloud news, but the fact that Google has chosen to unveil Vertex today means that this new service has a broad spectrum of developers.

Market Dynamics:

Trends:

AI and machine learning are gaining more and more attention. As AI and machine learning are used more, data science platforms are becoming more important.

Big data is growing so quickly that companies are looking for platforms that can handle large amounts of data and give real-time insights.

Platforms in the cloud: Because cloud computing has become so popular, more and more data science platforms are being built in the cloud. These platforms give businesses more freedom and room to grow.

Open source technologies: Many data science platforms, like R and Python, are built on open source technologies, which give users more freedom and the ability to make their own changes.

Drivers:

Business intelligence and analytics: The growing need for business intelligence and analytics is driving the growth of the market for data science platforms.

Need to decide things better: Companies are looking for data science platforms that will help them make better decisions as the business world gets more complicated.

Predictive analytics are becoming more popular because companies are using them to guess how customers will act, predict sales, and improve business processes.

The privacy and security of data are becoming more and more important. Organizations are looking for data science platforms with strong security and privacy features because they are collecting more and more data.

Opportunities:

As data science is used more and more in healthcare, data science platform providers have a big chance to make solutions for this sector.

Growth in emerging markets: The data science platform market is growing quickly in Asia-Pacific and Latin America, which gives providers a chance to grow globally.

Integration with other technologies: Data science platforms can be combined with other technologies, like blockchain and the Internet of Things (IoT), so providers can offer more services.

Focus on SMBs: Small and medium-sized businesses (SMBs) might not have the resources to build their own data science solutions, so data science platform providers should focus on them.

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Scope of Report:

Report Attributes Details
Growth Rate CAGR of 16.43% from 2023 to 2030.
Revenue Forecast by 2030 USD 378.7 Billion
By Component Platform, Services, Support and maintenance, Consulting, Deployment and Integration, Others
By Type Cloud, On-premise, Others
By Application Marketing, Sales, Logistics, Finance & Accounting, Customer Support, Others
By Industry Vertical BFSI, Retail & eCommerce, Telecom & IT, Media & Entertainment, Healthcare & Life Sciences, Government & Defense, Manufacturing, Transportation & Logistics, Others
By Companies  Microsoft, IBM, Google, Wolfram, Datarobot, Cloudera, Rapidminer, Domino Data Lab, Dataiku, Alteryx, Continuum Analytics, Bridgei2i Analytics, Datarpm, Rexer Analytics, Feature Labs
Regions and Countries Covered
  • North America: (US, Canada, Mexico, Rest of North America)
  • Europe(Germany, France, Italy, Spain, UK, Nordic Countries, Benelux Union, Rest of Europe)
  • Asia-Pacific (Japan, China, India, Australia, South Korea, Southeast Asia, Rest of Asia-Pacific)
  • The Middle East & Africa(Saudi Arabia, UAE, Egypt, South Africa, Rest of the Middle East & Africa)
  • Latin America(Brazil, Argentina, Rest of Latin America)
  • Rest Of the World
Base Year  2022
Historical Year  2017 to 2022
Forecast Year  2023 to 2030

Regional Outlook:                                                                                   

In 2021, 36% of global income came from North America. This is because key regional market players are putting more and more effort into making these platforms better and better. For example, the tech company Oracle has said that a cloud-based data science platform will be available in February 2020. The new platform has features like shared projects, policies for team security, suitability, reproducibility, and model catalogues.

In 2021, Europe had the second-largest market share. As the use of data-driven digital transformation grows, more and more businesses in the area are putting this technology to use to speed up growth. Asia-Pacific (APAC) has continued to be a good market for companies that offer solutions and services for data science platforms. This is because data science platforms have grown a lot in both developed and developing economies. In Japan, China, and India, there are a number of possible data science platform market opportunities. Due to the fast growth of its technology-based economy, APAC is expected to have the fastest-growing demand for data science platform software and services over the next few years.

The global market for Data Science Platforms has been looked at in different parts of the world, like North America, Europe, Asia-Pacific, Latin America, the Middle East, and India. In the near future, this market will be dominated by the global region.

Key Segments Covered:

Top Market Players:
Microsoft, IBM, Google, Wolfram, Datarobot, Cloudera, Rapidminer, Domino Data Lab, Dataiku, Alteryx, Continuum Analytics, Bridgei2i Analytics, Datarpm, Rexer Analytics, Feature Labs, and others.

By Component:

  • Platform
  • Services
    • Professional Services
    • Managed Services
  • Support and maintenance
  • Consulting
  • Deployment and Integration

By Type:

  • Cloud
  • On-premise

By Application:

  • Marketing
  • Sales
  • Logistics
  • Finance & Accounting
  • Customer Support
  • Others

By Industry Vertical:

  • BFSI
  • Retail & eCommerce
  • Telecom & IT
  • Media & Entertainment
  • Healthcare & Life Sciences
  • Government & Defense
  • Manufacturing
  • Transportation & Logistics

Regions and Countries Covered

  • North America: (US, Canada, Mexico, Rest of North America)
  • Europe: (Germany, France, Italy, Spain, UK, Nordic Countries, Benelux Union, Rest of Europe)
  • Asia-Pacific: (Japan, China, India, Australia, South Korea, Southeast Asia, Rest of Asia-Pacific)
  • The Middle East & Africa: (Saudi Arabia, UAE, Egypt, South Africa, Rest of the Middle East & Africa)
  • Latin America: (Brazil, Argentina, Rest of Latin America)
  • Rest Of the World

Check out more related studies published by Contrive Datum Insights:

  • 5G Infrastructure Market – The 5G infrastructure market was valued at USD 1.37 billion in 2020 and is projected to reach USD 42.84 billion by 2030, growing at a CAGR of 54.4% from 2020 to 2030. 
  • Fuel Cell Device Market – The global fuel cell market size was valued at USD 4.1 billion in 2022 and is expected to grow USD 32.0 billion by 2030 at a compound annual growth rate (CAGR) of 23.2% from 2023 to 2030.
  • Logistics Robots Market – The Global Logistics Robots Market Size Was Valued At USD 6.17 Billion In 2022. The Market Is Projected To Grow From USD 7.11 Billion In 2022 To USD 21.01 Billion By 2029, Exhibiting A CAGR Of 16.7% During The Forecast Period.

Customization of the Report: The report can be customized as per client needs or requirements.For any queries, you can contact us on [email protected] or +1 215-297-4078. Our sales executives will be happy to understand your needs and provide you with the most suitable reports.

About Us:
Contrive Datum Insights (CDI) is a global delivery partner of market intelligence and consulting services to officials at various sectors such as investment, information technology, telecommunication, consumer technology, and manufacturing markets. CDI assists investment communities, business executives, and IT professionals to undertake statistics-based accurate decisions on technology purchases and advance strong growth tactics to sustain market competitiveness. Comprising of a team size of more than 100 analysts and cumulative market experience of more than 200 years, Contrive Datum Insights guarantees the delivery of industry knowledge combined with global and country-level expertise.

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Artificial Intelligence

Picus Security Launches Security Validation for Kubernetes

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Teams can eliminate container security exposures with the new enhancements in Picus’ platform for multi-cloud
SAN FRANCISCO, May 23, 2024 /PRNewswire/ — Picus Security, the Security Validation company, today announced security validation for Kubernetes. This new capability allows Security and DevOps teams to realize the benefits of containers securely by proactively measuring and optimizing the resilience of clusters. It is the latest innovative addition to the Picus Security Validation Platform, which empowers users to consistently validate their security posture and measure risk across on-premises and multi-cloud environments.

For organizations that want an agile way to deploy, run and scale applications, Kubernetes offers considerable benefits. However, security is often the biggest barrier to its adoption. The dynamic and complex nature of Kubernetes means that containers are often misconfigured due to human error. Without a hands-on approach to governance, security gaps can easily emerge over time, increasing the risk of incidents. This situation is exacerbated by the high level of expertise required to secure Kubernetes and the use of default settings which are inherently insecure. According to The State of Kubernetes Report, more than two-thirds of Kubernetes users (67%) have delayed deployments due to security concerns.* 
The addition of Kubernetes validation extends the Picus platform’s existing validation capabilities, which are powered by attack simulation and GenAI. It enables organizations to proactively identify and mitigate security misconfigurations, such as weak policies and settings that could allow containers to run with insecure privileges and facilitate lateral movement. Now security teams can automatically assess the security of their workloads wherever they are located – on-premises, in containers, and also in cloud platforms including Amazon Web Services, Google Cloud Platform, and Microsoft Azure.
“Cloud security is perhaps the biggest barrier of entry for organizations that want to take advantage of container orchestration,” said Volkan Erturk, Picus CTO and Co-Founder. “Kubernetes offers incredible opportunities for DevOps teams to deploy and scale new applications, but Security teams can struggle to keep pace.
“With the Picus Security Validation Platform, security concerns won’t slow down an organization’s digital transformation journey. This new offering will allow our users to consistently measure the security of their workloads and vastly reduce the effort needed to address exposures across growing IT environments.”
Additional Information
Read the Kubernetes validation announcement blog.Register for the upcoming webinar on July 11th 2024 at 10.00 EST/ 15.00 BST: Beyond Cloud Security Posture Management: Validating Cloud Effectiveness with Attack Simulation About Picus Security
Picus Security helps security teams consistently and accurately validate their security posture. Our Security Validation Platform simulates real-world threats to evaluate the effectiveness of security controls, identify high-risk attack paths to critical assets, and optimize threat prevention and detection capabilities.
As the pioneer of Breach and Attack Simulation, we specialize in delivering the actionable insights our customers need to be threat-centric and proactive. 
Picus is a Gartner® Peer Insights™ Customers’ Choice for 2024 in the BAS tools category†. The company is recognized as a leader by Frost & Sullivan^.
† Gartner, Voice of the Customer for Breach and Attack Simulation Tools, Peer Contributors, 30 January 2024 ^ Frost and Sullivan, 2022 Frost Radar™ report for the Global Breach and Attack Simulation Market
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Highlights from the Finale: Day Three of the London Blockchain Conference Unravelled

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As the London Blockchain Conference draws to a close, attendees heard from industry experts on Driving Innovation with Blockchain.
LONDON, May 23, 2024 /PRNewswire/ — Attendees at the London Blockchain Conference were in to witness the final day, which featured a line-up of informative and thought-provoking speakers. Throughout the day, there were exciting panels and presentations which featured cutting-edge ideas and insights.

Day 3 kickstarted with BSVA launching a new report focusing on the role of blockchain in safeguarding data and streamlining transactions.
Other sessions included:
The Intersection of Web3, AI, and Emerging Tech – Somi Aran, Founder of InPeak gave the opening keynote which explored the dynamic convergence of Web3, Artificial Intelligence, and emerging technologies. She delved into how these technologies are reshaping industries and redefining the boundaries of innovation and the potential impacts and opportunities these technologies present.
Bridging the gap: Making Web3 technologies user-friendly – Christine Leong, CIO, nChain – discussed some of the innovative strategies and practical solutions aimed at simplifying Web3 technologies. She also discussed how nChain is planning to transform Web3 from a domain exclusive to the tech-savvy, into a user-friendly ecosystem that empowers all users.
Is code law? – Rules applicable to blockchain networks – panel featuring Marcin Zarakowski, CEO of Token Recovery, Akber Datoo CEO of D2 Legal Technology, Jeffrey Golden, King’s Counsel (Hon) at 3 Hare Court Chambers, Andrei Kirilenko, Professor of Finance at Cambridge Judge Business School, Professor Sarah Green, Law Commissioner at Law Commission, where they discussed that rules apply to the nodes and validators which support the particular network and process its transactions. The group also discussed whether the blockchain protocols’ rules and software code are the only sources of regulation in blockchain networks.
An Introduction to nChain Identity – Thomas Moretti, Head of Product Development at nChain. He spoke about the Self Sovereignty Identity concept and showcased the latest project it is working on – nChain Identity.
Reimagining Roles: How regulated industry leaders are shaping the future of finance – a panel featuring, Andrew Mosson (Chief Commercial Officer of OneTrading, Néstor Palao, Head DLT & Corporate Clients at Sygnum Bank, Laurence Lewandowska, CFO/COO at BSV Association and Wojciech Kaszycki Chairman & Founder at Mobilum. The panel discussed how the new era of digital assets, traditional banking institutions, exchanges, and financial services are being reimagined in the context of emerging technologies such as blockchain and AI.
Please register here if you would like to listen to any of the sessions today. 
If you want to interview any speaker from today’s sessions, please email [email protected].
About the London Blockchain Conference NETWORK. LEARN. ENGAGE.  At the London Blockchain Conference, we show how Blockchain will change the world and help people see another way to manage data, build scalable on-chain solutions and achieve great things. We do this by creating valuable, insightful, and engaging events that educate and inform, allowing you to connect and network to build strong business relationships. Our conference is the best avenue to see blockchain innovations, ecosystem announcements, product launches, technology updates, keynote speeches, panels, and fireside chats from blockchain leaders. Join us and experience it for yourself. 

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Nord Anglia Education publishes new insights on the role of AI and metacognition in learning

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LONDON, May 23, 2024 /PRNewswire/ — INSIGHTS, the global publication from Nord Anglia Education, has published two new articles taking an in-depth look at AI in education and the role of metacognition in teaching and learning.

Exploring the role of AI in learning
https://www.nordangliaeducation.com/insights/2024/articles/the-generative-generationIn its ‘Generative Generation’ feature, INSIGHTS explores the role of artificial intelligence (AI) in education, and whether the technology is making it easier for children to learn. Speaking to Nord Anglia’s educators as well as leading experts from the world of academia, it also includes real-life examples of how Nord Anglia’s schools are using AI in the classroom.
For example, Nord Anglia’s British International School in Kuala Lumpur has adapted the technology to create an AI-powered teaching assistant that can personalise learning, guide students through content exploration, and deepen their understanding through interactive activities. Learners define the topic they want to explore and the course specification they are working to, and the AI explores the content with them in a conversational way, enabling them to ask questions as they go. 
Dr Bruce Geddes, Deputy Head of Secondary at the school, told INSIGHTS that AI represents “the biggest opportunity we’ve had in our lifetimes, for many, many spheres, but particularly in education”.
Avenues: The World School in New York, which became part of Nord Anglia in 2023, encourages its students to use AI in their work. As an example, in an app development project students use ChatGPT to generate the bulk of the coding, then review, correct and refine it. This saves them “hours of manual work by leveraging the appropriate tool in an academically appropriate way,” says Lia Muschellack, Director of Technology at the school.
The school also has its own generative AI chatbot, Savvy, built in 2019 and now powered by open AI technology. It can answer queries, provide information, and engage in “diverse discussions ranging from academic topics to casual conversations”.
“We understand that our students will be actively leveraging these tools throughout their academic and professional pathways, so we want to make sure they not only understand the potentials and limitations, but that they have tinkered and truly experienced them,” Muschellack explains.
Metacognition: a learning superpower
In its feature ‘Metacognition. Helping Kids Unlock the Power of ‘Thinking about Thinking’, INSIGHTS looks at how students can develop the important skill of metacognition.
“Metacognition is the ability to be aware of our cognitive or thought processes and to monitor, reflect on, and change those processes,” Dr Rose Luckin, Professor of Learner Centred Design at the University College London Knowledge Lab, told INSIGHTS.
Nord Anglia Education is working with Dr Luckin to develop its approach to metacognition and to help teachers introduce metacognitive strategies into classrooms. It has developed a metacognitive framework of six “Learner Ambitions” to help students develop the 6 Cs: to become critical, creative, committed, and curious learners, working compassionately and collaboratively in the classroom and beyond.
As the article explains, Nord Anglia’s deep dive into metacognition has many goals: developing student agency, boosting academic performance, and developing ‘future’ skills that employers want. The framework is being initially applied across 27 Nord Anglia schools around the world and its impact will be measured in independent research in partnership with Boston College, reporting in 2025.
Nord Anglia’s examination of metacognition also involves exploring personalised goals and thinking routines. For instance, students at Nord Anglia International School Hong Kong use the “Step In, Step Out, Step Back” routine to develop empathy and understanding in their studies. “It’s about asking the right questions; those really big questions that lead to even more questions,” says Raquel Thomson, the school’s Deputy Head of Primary. “Thinking strategies like this stay with students and serve a purpose whatever they do in their lives, whether they choose to be a scientist or a teacher or go into business.”
For media enquiries please contact: Francesca Milani Communications Manager, Digital Education Portfolio +44 20 7131 0000 [email protected] 
About Nord Anglia Education:
As the world’s leading international schools organisation, we’re shaping a generation of creative and resilient global citizens who graduate from our schools with everything they need for success, whatever they choose to be or do in life.  
Our strong academic foundations combine world-class teaching and curricula with cutting-edge technology and facilities, creating learning experiences like no other. Inside and outside of the classroom, we inspire our students to achieve more than they ever thought possible.  
No two children learn the same way, which is why our schools around the world personalise learning to what works best for every student. Inspired by our high-quality teachers, our students achieve outstanding academic results and go on to study at the world’s top universities.  
To learn more or apply for a place for your child, go to nordangliaeducation.com.
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