This statistic displays the adoption rates of Big Data analytics in the United Kingdom (UK) in 2015 and 2020. In 2015, the adoption rate amounted to 56 percent across all examined industry. 67 percent of the industries will adopt Big Data analytics in 2020.

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Data Science Platform Market Size 2025-2029

The data science platform market size is forecast to increase by USD 763.9 million, at a CAGR of 40.2% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies. This fusion enables organizations to derive deeper insights from their data, fueling business innovation and decision-making. Another trend shaping the market is the emergence of containerization and microservices in data science platforms. This approach offers enhanced flexibility, scalability, and efficiency, making it an attractive choice for businesses seeking to streamline their data science operations. However, the market also faces challenges. Data privacy and security remain critical concerns, with the increasing volume and complexity of data posing significant risks. Ensuring robust data security and privacy measures is essential for companies to maintain customer trust and comply with regulatory requirements. Additionally, managing the complexity of data science platforms and ensuring seamless integration with existing systems can be a daunting task, requiring significant investment in resources and expertise. Companies must navigate these challenges effectively to capitalize on the market's opportunities and stay competitive in the rapidly evolving data landscape.

What will be the Size of the Data Science Platform Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, driven by the increasing demand for advanced analytics and artificial intelligence solutions across various sectors. Real-time analytics and classification models are at the forefront of this evolution, with APIs integrations enabling seamless implementation. Deep learning and model deployment are crucial components, powering applications such as fraud detection and customer segmentation. Data science platforms provide essential tools for data cleaning and data transformation, ensuring data integrity for big data analytics. Feature engineering and data visualization facilitate model training and evaluation, while data security and data governance ensure data privacy and compliance. Machine learning algorithms, including regression models and clustering models, are integral to predictive modeling and anomaly detection. Statistical analysis and time series analysis provide valuable insights, while ETL processes streamline data integration. Cloud computing enables scalability and cost savings, while risk management and algorithm selection optimize model performance. Natural language processing and sentiment analysis offer new opportunities for data storytelling and computer vision. Supply chain optimization and recommendation engines are among the latest applications of data science platforms, demonstrating their versatility and continuous value proposition. Data mining and data warehousing provide the foundation for these advanced analytics capabilities.

How is this Data Science Platform Industry segmented?

The data science platform industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. DeploymentOn-premisesCloudComponentPlatformServicesEnd-userBFSIRetail and e-commerceManufacturingMedia and entertainmentOthersSectorLarge enterprisesSMEsApplicationData PreparationData VisualizationMachine LearningPredictive AnalyticsData GovernanceOthersGeographyNorth AmericaUSCanadaEuropeFranceGermanyUKMiddle East and AfricaUAEAPACChinaIndiaJapanSouth AmericaBrazilRest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.In the dynamic the market, businesses increasingly adopt solutions to gain real-time insights from their data, enabling them to make informed decisions. Classification models and deep learning algorithms are integral parts of these platforms, providing capabilities for fraud detection, customer segmentation, and predictive modeling. API integrations facilitate seamless data exchange between systems, while data security measures ensure the protection of valuable business information. Big data analytics and feature engineering are essential for deriving meaningful insights from vast datasets. Data transformation, data mining, and statistical analysis are crucial processes in data preparation and discovery. Machine learning models, including regression and clustering, are employed for model training and evaluation. Time series analysis and natural language processing are valuable tools for understanding trends and customer sen

The displayed data shows the results of an expert survey conducted in the United Kingdom in 2019 on the implementation status of the analysis of data from social media platforms at logistics companies. Participants of the survey were employees who have been working in logistics for at least 2 years. Some ** percent of respondents stated that the implementation of social media data analysis is out of the question for their company.

IntroductionThe UK Biobank (UKB) is a resource that includes detailed health-related data on about 500,000 individuals and is available to the research community. However, several obstacles limit immediate analysis of the data: data files vary in format, may be very large, and have numerical codes for column names.Resultsukbtools removes all the upfront data wrangling required to get a single dataset for statistical analysis. All associated data files are merged into a single dataset with descriptive column names. The package also provides tools to assist in quality control by exploring the primary demographics of subsets of participants; query of disease diagnoses for one or more individuals, and estimating disease frequency relative to a reference variable; and to retrieve genetic metadata.ConclusionHaving a dataset with meaningful variable names, a set of UKB-specific exploratory data analysis tools, disease query functions, and a set of helper functions to explore and write genetic metadata to file, will rapidly enable UKB users to undertake their research.

Business intelligence and analytics software publishers' revenue is expected to swell at a compound annual rate of 1.9% over the five years through 2024-25 to reach £884.9 million. Strong growth has been fuelled by rising business software investment, IT and telecommunications adoption, advances in computing technology and the digitalisation of business processes. This has driven the advent of big data, providing new data sets which can interface with business analytics software. Many software products, including customer relationship management and enterprise resource planning systems, have become basic tools for managing large companies. The largest publishers have pursued acquisition activity to take control of cloud companies and data analytics businesses. These industry giants are generally selective with acquisitions, embracing the switch to software as a service and adopting the low-cost cloud model. The industry has demonstrated resilience amid turbulent times, continuing on a growth path in recent years. This is primarily a result of the rapid digitisation spurred by the pandemic. As remote work became the new norm and businesses faced the necessity of managing expansive data sets efficiently, they turned to analytics software. Despite fiscal stresses, companies continued investing in software subscriptions, recognising the indispensable use of applications in a remote work environment. As such, subscriptions and sales of cloud-based software witnessed noticeable growth. Revenue is forecast to climb by 1.9% in 2024-25, with profit also expected to edge up as demand remains strong. Over the five years through 2029-30, revenue is expected to climb at a compound annual rate of 2.9% to reach £1 billion. Heightened adoption of industry-specific software among small and medium-size enterprises (SMEs) is projected to fuel growth. The ongoing transition towards business intelligence apps hosted on external servers and accessible via secure internet connections – known as software as a service (SaaS) – will open up new possibilities. While workforce complications and restrictions on the freedom of movement present potential challenges, the industry's future still looks strong, characterised by a continued focus on research and development and aggressive acquisition strategies from the biggest publishers.

The UK daily temperature data contain maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM, DLY3208 or AWSDLY messages. The data span from 1853 to 2023. For details on measurement techniques, including calibration information and changes in measurements, see section 5.2 of the MIDAS User Guide linked to from this record. Soil temperature data may be found in the UK soil temperature datasets linked from this record. This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2023. This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily temperature observations within the full MIDAS collection.

This statistic presents the estimated adoption rates of Big Data in the United Kingdom (UK) in 2020, by industry. The report estimated the future adoption rate in the leading retail banking sector at ** percent. Energy and utility companies were expected to rank second with an adoption rate of ** percent in 2020. The UK in total was estimated to have an adoption rate of ** percent.

The UK geospatial analytics market, a segment of the broader global market valued at $1.85 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 11.26%, presents significant growth opportunities. Driven by increasing government initiatives promoting digital infrastructure and smart cities, coupled with the rising adoption of precision agriculture techniques and advancements in sensor technologies, the market is poised for expansion. The UK's robust technology sector and strong presence of key players like Hexagon, Trimble, and Bentley Systems contribute to a competitive yet dynamic landscape. Growth is further fueled by the need for improved urban planning, efficient resource management, and enhanced infrastructure development. Specific application areas like network analysis for optimizing utility grids, geovisualization for real estate and construction planning, and surface analysis for environmental monitoring contribute significantly to market demand. While data privacy concerns and the need for skilled professionals represent potential restraints, the overall market outlook remains positive, with continued investments in research and development driving innovation and expanding market applications. The UK's specific market share within the global geospatial analytics landscape is not explicitly stated, however, considering the UK's advanced technological infrastructure and active participation in relevant industries, it's reasonable to expect a substantial share. Estimating the UK market size within the global context requires careful consideration of various factors. Given the global CAGR of 11.26% and the UK's significant role in technology and related sectors, a conservative estimation would place the UK's 2025 market size at approximately £100 million. This projection assumes a relatively proportional contribution from the UK given its economic standing and technological advancement within Europe and globally. The key drivers mentioned above are expected to accelerate market expansion over the forecast period (2025-2033), with the adoption of cloud-based geospatial analytics solutions and the increasing availability of high-resolution satellite imagery further contributing to market growth. This segment is likely to experience stronger growth in areas such as defense and intelligence, given the government's investment in national security. Recent developments include: April 2023: EDF used Esri UK corporate GIS to build a geospatial site for the Hinkley Point C nuclear power station, one of Europe's most extensive and complicated building projects. The portal provides a single picture of the entire project. They are facilitating greater cooperation and enabling new digital workflows, Assisting employees and contractors in improving safety and productivity. When the building of the nuclear reactors began, the portal has recently been expanded to include Tier-1 contractors, and it presently has over 1,500 users., April 2021: Esri UK launched a new cooperation with Tetra Tech, a worldwide consulting and engineering services company, to enhance indoor mapping capabilities by combining their expertise. Esri UK was to contribute to the partnership's robust GIS system, which had multiple indoor mapping capabilities, such as interactive floor plans and indoor location capabilities. Tetra Tech was to add 3D terrestrial laser scanning, data analytics, and CAD capabilities to GIS. They were to collaborate to provide customers with an end-to-end interior mapping solution to capitalize on an expanding need for indoor mapping for facilities management at central workplaces, campuses, or hospitals.. Key drivers for this market are: Increasing in Demand for Location Intelligence, Advancements of Big Data Analytics. Potential restraints include: Increasing in Demand for Location Intelligence, Advancements of Big Data Analytics. Notable trends are: Location data will hold the significant share.

This study contains script files to create teaching versions of Understanding Society: Waves 1-3, the new UK household panel survey. Specifically, the user can focus on individual waves, or can create a panel survey dataset for use in teaching undergraduates and postgraduates. Core areas of focus are attitudes to voting and political parties, to the environment, and to ethnicity and migration. Script files are available for SPSS, STATA and R. Individuals wishing to make use of this resource will need to apply separately to the UK data archive for access to the original datasets: http://discover.ukdataservice.ac.uk/catalogue/?sn=6614 &type=Data%20catalogue

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Big Data Market Size 2025-2029

The big data market size is forecast to increase by USD 193.2 billion at a CAGR of 13.3% between 2024 and 2029.

The market is experiencing a significant rise due to the increasing volume of data being generated across industries. This data deluge is driving the need for advanced analytics and processing capabilities to gain valuable insights and make informed business decisions. A notable trend in this market is the rising adoption of blockchain solutions to enhance big data implementation. Blockchain's decentralized and secure nature offers an effective solution to address data security concerns, a growing challenge in the market. However, the increasing adoption of big data also brings forth new challenges. Data security issues persist as organizations grapple with protecting sensitive information from cyber threats and data breaches.
Companies must navigate these challenges by investing in robust security measures and implementing best practices to mitigate risks and maintain trust with their customers. To capitalize on the market opportunities and stay competitive, businesses must focus on harnessing the power of big data while addressing these challenges effectively. Deep learning frameworks and machine learning algorithms are transforming data science, from data literacy assessments to computer vision models.

What will be the Size of the Big Data Market during the forecast period?

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In today's data-driven business landscape, the demand for advanced data management solutions continues to grow. Companies are investing in business intelligence dashboards and data analytics tools to gain insights from their data and make informed decisions. However, with this increased reliance on data comes the need for robust data governance policies and regular data compliance audits. Data visualization software enables businesses to effectively communicate complex data insights, while data engineering ensures data is accessible and processed in real-time. Data-driven product development and data architecture are essential for creating agile and responsive business strategies. Data management encompasses data accessibility standards, data privacy policies, and data quality metrics.
Data usability guidelines, prescriptive modeling, and predictive modeling are critical for deriving actionable insights from data. Data integrity checks and data agility assessments are crucial components of a data-driven business strategy. As data becomes an increasingly valuable asset, businesses must prioritize data security and privacy. Prescriptive and predictive modeling, data-driven marketing, and data culture surveys are key trends shaping the future of data-driven businesses. Data engineering, data management, and data accessibility standards are interconnected, with data privacy policies and data compliance audits ensuring regulatory compliance.
Data engineering and data architecture are crucial for ensuring data accessibility and enabling real-time data processing. The data market is dynamic and evolving, with businesses increasingly relying on data to drive growth and inform decision-making. Data engineering, data management, and data analytics tools are essential components of a data-driven business strategy, with trends such as data privacy, data security, and data storytelling shaping the future of data-driven businesses.

How is this Big Data Industry segmented?

The big data industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  On-premises
  Cloud-based
  Hybrid


Type

  Services
  Software


End-user

  BFSI
  Healthcare
  Retail and e-commerce
  IT and telecom
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    Australia
    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.

In the realm of big data, on-premise and cloud-based deployment models cater to varying business needs. On-premise deployment allows for complete control over hardware and software, making it an attractive option for some organizations. However, this model comes with a significant upfront investment and ongoing maintenance costs. In contrast, cloud-based deployment offers flexibility and scalability, with service providers handling infrastructure and maintenance. Yet, it introduces potential security risks, as data is accessed through multiple points and stored on external servers. Data

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UK Data Center Market Size 2024-2028

The uk data center market size is forecast to increase by USD 37.87 billion, at a CAGR of 21.8% between 2023 and 2028.

The Data Center Market in the UK is experiencing significant shifts, driven by the increasing adoption of multi-cloud solutions and the necessity to upgrade networks to support the rollout of 5G technology. These trends reflect the evolving digital landscape, with businesses seeking greater agility, scalability, and efficiency in their IT infrastructure. Simultaneously, the consolidation of data centers continues, as organizations aim to optimize resources and reduce operational costs. However, these advancements come with challenges, including the growing power consumption demands of data centers, which necessitate sustainable energy solutions and innovative cooling technologies to mitigate environmental concerns and maintain cost competitiveness. Companies in the UK data center market must navigate these trends and challenges to capitalize on opportunities for growth and maintain a competitive edge in the rapidly evolving digital economy.

What will be the size of the UK Data Center Market during the forecast period?

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The UK data center market is witnessing significant advancements, driven by the increasing demand for power-hungry tower servers and the shift towards renewable energy sources. With the expansion of data center footprints, IP addressing and data center certifications have become crucial for ensuring efficient network management. Green data centers, integrating cooling technology and energy management, are gaining traction as businesses prioritize sustainability. Server clustering, virtual machines (VMs), solid-state drives (SSDs), and storage arrays are key technologies enhancing data center performance. Location selection, risk management, and business continuity plans are essential considerations for organizations. Data analytics, wireless networking, and big data applications are fueling the adoption of high-performance computing (HPC) solutions, including blade servers and load balancing. Fiber optic cables and Ethernet cables are vital components for seamless connectivity, while tape libraries and optical storage cater to data archiving needs. Sustainable data centers, employing energy-efficient rackmount servers and advanced cooling systems, are the future of the industry.

How is this market segmented?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. ComponentIT infrastructurePower managementMechanical constructionGeneral constructionSecurity solutionsTypeOn-premiseHyperscaleHPCColocationEdgeOn-premiseHyperscaleHPCColocationEdgeDesignTraditionalContainerizedModularTraditionalContainerizedModularGeographyEuropeUK

By Component Insights

The it infrastructure segment is estimated to witness significant growth during the forecast period.

The data center IT infrastructure market in the UK is experiencing significant growth due to the increasing demand for computing power and storage to accommodate expanding data traffic. Enterprises are transitioning from traditional on-premises data centers to cloud-based solutions, including hyperscale data centers and edge computing. Modular data centers and containerized data centers are gaining popularity for their flexibility and scalability. Network security and access control are essential considerations, with high-availability systems and disaster recovery solutions ensuring business continuity. Energy efficiency and liquid cooling are key trends, as are managed services, remote monitoring, and data center automation. IT infrastructure solutions encompass server racks, network switches, cooling systems, and performance monitoring tools. Software-defined networking (SDN) and data center virtualization are crucial components, enabling temperature control, power capacity, and storage virtualization. Data storage and capacity planning require technical expertise, while backup and recovery solutions ensure business continuity. The market is also witnessing the adoption of hybrid cloud and maintenance contracts for network management. Data center design and construction are ongoing processes, with a focus on reducing carbon footprint and optimizing airflow management. Cloud migration is a significant trend, with the need for seamless integration and efficient data transfer.

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The IT infrastructure segment was valued at USD 11191.10 million in 2018 and showed a gradual increase during the forecast period.

Market Dynamics

Our researchers analy

This statistic displays the economic benefits Big Data analytics in the United Kingdom (UK) from 2015 to 2020. It was estimated that efficiency benefits would account for the largest share of the economic benefits of Big Data analytics. The total benefits amounted to roughly ***** billion British pounds.

The UK daily rainfall data contain rainfall accumulation and precipitation amounts over a 24 hour period. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSDLY, DLY3208 and SSER. The data spans from 1853 to 2021. Over time a range of rain gauges have been used - see section 5.6 and the relevant message type information in the linked MIDAS User Guide for further details.

This version supersedes the previous version (202107) of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2021, and additional historical data for Colmonell (Ayrshire, 1924-1960), Camps Reservoir (Lanarkshire, 1934-1960), and Greenock (Renfrewshire, 1910-1960).

This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset. Currently this represents approximately 13% of available daily rainfall observations within the full MIDAS collection.

Source: Job Description of LinkedIn Tag: Data Analyst Region: London, UK

I have scraped 115 job posts and collected the required skills for Data Analyst job posts on LinkedIn from September to December 2022.

This statistic displays the economic benefits of Big Data analytics in the United Kingdom (UK) from 2015 to 2020, by industry. The report estimated that manufacturing would realize the largest benefits amounting to roughly ***** billion British pounds. Professional services were expected to gain benefits amounting to roughly **** billion British pounds.

The NNRD is a national resource holding real-world clinical data captured in the course of care on all admissions to NHS neonatal units in England, Wales, Scotland and the Isle of Man. Neonatal units submit data through their Electronic Patient Record system supplier. At present, there is information on around one million babies and 10 million days of care in the NNRD.

The NNRD is available to support audit, evaluations, bench-marking, quality improvement and clinical, epidemiological, health services and policy research to improve patient care and outcomes. Data in the NNRD comprise the Neonatal Data Set (ISB1595), an approved NHS Information Standard and include demographic details, daily records of interventions and treatments throughout the neonatal inpatient stay, information on diagnoses and outcomes, and follow-up health status at age two years.

The Neonatal Data Analysis Unit was founded to support the management and development of the National Neonatal Research Database (NNRD) established in 2007 by Professor Modi, and related research.

More information can be found at https://www.imperial.ac.uk/neonatal-data-analysis-unit