This statistic displays the adoption rates of Big Data analytics in the United Kingdom (UK) in 2015, by industry. The Telecoms as well as the Energy and utilities industry were leading in the implementation of Big Data analytics with adoption rates of 67 percent each. In contrast, the adoption rate of the healthcare sector amounted to 36 percent.

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 81 percent. Energy and utility companies were expected to rank second with an adoption rate of 80 percent in 2020. The UK in total was estimated to have an adoption rate of 67 percent.

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 57.69 billion British pounds. Professional services were expected to gain benefits amounting to roughly 34.2 billion British pounds.

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Big Data Market Size 2024-2028

The big data market size is forecast to increase by USD 508.73 billion at a CAGR of 21.46% between 2023 and 2028.

The market is experiencing significant growth due to the growth in data generation from various sources, including IoT platforms and digital transformation services. This data deluge presents opportunities for businesses to leverage advanced analytics tools for applications such as fraud detection and prevention, workforce analytics, and business intelligence. However, the increasing adoption of big data implementation also brings challenges, including the need for data security and privacy measures. Quantum computing and blockchain technology are emerging trends In the big data landscape, offering potential solutions to complex data processing and security issues. In healthcare analytics, data protection regulations are driving the need for secure data management and sharing.
Additionally, supply chain optimization is another area where big data can bring significant value, enabling real-time monitoring and predictive analytics. Overall, the market is poised for continued growth, driven by the need to extract valuable insights from the vast amounts of data being generated.

What will be the Size of the Big Data Market During the Forecast Period?

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The market is experiencing growth as businesses increasingly leverage information from vast datasets to drive strategic decision-making, enhance customer experiences, and improve operational efficiency. The digital revolution has led to an exponential increase in data creation, fueling demand for advanced analytics capabilities, real-time processing, and data protection and privacy solutions. Hardware and software companies offer on-premise and cloud-based systems to accommodate various industry needs, including customer analytics in retail and e-commerce, supply chain analytics in manufacturing, marketing analytics, pricing analytics, spatial analytics, workforce analytics, risk and credit analytics, transportation analytics, healthcare, energy and utilities, and IT and telecom. Big data applications span numerous sectors, enabling organizations to gain valuable insights from their data to optimize operations, mitigate risks, and innovate new products and services.

How is this Big Data Industry segmented and which is the largest segment?

The big data industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Deployment

  On-premises
  Cloud-based
  Hybrid


Type

  Services
  Software


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  South America



  Middle East and Africa

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period. On-premises big data software solutions involve the installation of hardware and software by the end-user, granting them complete control over the system. Despite the high upfront costs, on-premises solutions offer advantages such as full ownership and operational efficiency. In contrast, cloud-based solutions require recurring monthly payments and involve data storage on companies' servers, increasing security concerns. Advanced analytics, real-time processing, and integrated analytics are key features driving the market. Data creation from digital transformation, customer experiences, and various industries like retail, healthcare, and finance, fuel the demand for scalable infrastructure and user-friendly interfaces. Technologies such as quantum computing, blockchain, AI-driven analytics platforms, and automation are transforming business intelligence solutions.

Ensuring data protection and privacy, accessibility, and seamless data transactions are crucial in this data-driven era. Key technologies include distributed computing, visualization tools, and social media. Target audiences range from decision-makers to various industries, including transportation, energy, and consumer engagement.

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The On-premises segment was valued at USD 86.53 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 47% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The market in North America is experiencing significant growth due to digital transformation initiatives by enterprises in sectors such as healthcare, retail

This statistic displays the business innovation benefits as a result of Big Data in the United Kingdom (UK) from 2015 to 2020, by industry. It was estimated that the manufacturing sector would benefit most from business innovation due to Big Data. Telecommunications was the second ranked single sector with expected gains of roughly 1.04 billion British pounds.

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Big Data as a Service Market Size 2024-2028

The big data as a service market size is forecast to increase by USD 41.20 billion at a CAGR of 28.45% between 2023 and 2028.

The market is experiencing significant growth due to the increasing volume of data and the rising demand for advanced data insights. Machine learning algorithms and artificial intelligence are driving product quality and innovation in this sector. Hybrid cloud solutions are gaining popularity, offering the benefits of both private and public cloud platforms for optimal data storage and scalability. Industry standards for data privacy and security are increasingly important, as large amounts of data pose unique risks. The BDaaS market is expected to continue its expansion, providing valuable data insights to businesses across various industries.

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Big Data as a Service (BDaaS) has emerged as a game-changer in the business world, enabling organizations to harness the power of big data without the need for extensive infrastructure and expertise. This service model offers various components such as data management, analytics, and visualization tools, enabling businesses to derive valuable insights from their data. BDaaS encompasses several key components that drive market growth. These include Business Intelligence (BI), Data Science, Data Quality, and Data Security. BI provides organizations with the ability to analyze data and gain insights to make informed decisions.



Data Science, on the other hand, focuses on extracting meaningful patterns and trends from large datasets using advanced algorithms. Data Quality is a critical component of BDaaS, ensuring that the data being analyzed is accurate, complete, and consistent. Data Security is another essential aspect, safeguarding sensitive data from cybersecurity threats and data breaches. Moreover, BDaaS offers various data pipelines, enabling seamless data integration and data lifecycle management. Network Analysis, Real-time Analytics, and Predictive Analytics are other essential components, providing businesses with actionable insights in real-time and enabling them to anticipate future trends. Data Mining, Machine Learning Algorithms, and Data Visualization Tools are other essential components of BDaaS.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Data analytics-as-a-Service
  Hadoop-as-a-service
  Data-as-a-service


Deployment

  Public cloud
  Hybrid cloud
  Private cloud


Geography

  North America

    Canada
    US


  APAC

    China


  Europe

    Germany
    UK


  South America



  Middle East and Africa

By Type Insights

The data analytics-as-a-service segment is estimated to witness significant growth during the forecast period.

Big Data as a Service (BDaaS) is a significant market segment, highlighted by the availability of Hadoop-as-a-Service solutions. These offerings enable businesses to access essential datasets on-demand without the burden of expensive infrastructure. DAaaS solutions facilitate real-time data analysis, empowering organizations to make informed decisions. The DAaaS landscape is expanding rapidly as companies acknowledge its value in enhancing internal data. Integrating DAaaS with big data systems amplifies analytics capabilities, creating a vibrant market landscape. Organizations can leverage diverse datasets to gain a competitive edge, driving the growth of the global BDaaS market. In the context of digital transformation, cloud computing, IoT, and 5G technologies, BDaaS solutions offer optimal resource utilization.

However, regulatory scrutiny poses challenges, necessitating stringent data security measures. Retail and other industries stand to benefit significantly from BDaaS, particularly with distributed computing solutions. DAaaS adoption is a strategic investment for businesses seeking to capitalize on the power of external data for valuable insights.

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The Data analytics-as-a-Service segment was valued at USD 2.59 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 35% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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Big Data as a Service Market analysis, North America is experiencing signif

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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 integration of artificial intelligence (AI) and machine learning (ML). This enhancement enables more advanced data analysis and prediction capabilities, making data science platforms an essential tool for businesses seeking to gain insights from their data. Another trend shaping the market is the emergence of containerization and microservices in platforms. This development offers increased flexibility and scalability, allowing organizations to efficiently manage their projects. 
However, the use of platforms also presents challenges, particularly In the area of data privacy and security. Ensuring the protection of sensitive data is crucial for businesses, and platforms must provide strong security measures to mitigate risks. In summary, the market is witnessing substantial growth due to the integration of AI and ML technologies, containerization, and microservices, while data privacy and security remain key challenges.

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The market is experiencing significant growth due to the increasing demand for advanced data analysis capabilities in various industries. Cloud-based solutions are gaining popularity as they offer scalability, flexibility, and cost savings. The market encompasses the entire project life cycle, from data acquisition and preparation to model development, training, and distribution. Big data, IoT, multimedia, machine data, consumer data, and business data are prime sources fueling this market's expansion. Unstructured data, previously challenging to process, is now being effectively managed through tools and software. Relational databases and machine learning models are integral components of platforms, enabling data exploration, preprocessing, and visualization.
Moreover, Artificial intelligence (AI) and machine learning (ML) technologies are essential for handling complex workflows, including data cleaning, model development, and model distribution. Data scientists benefit from these platforms by streamlining their tasks, improving productivity, and ensuring accurate and efficient model training. The market is expected to continue its growth trajectory as businesses increasingly recognize the value of data-driven insights.

How is this Data Science Platform Industry segmented and which is the largest segment?

The 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.

Deployment

  On-premises
  Cloud


Component

  Platform
  Services


End-user

  BFSI
  Retail and e-commerce
  Manufacturing
  Media and entertainment
  Others


Sector

  Large enterprises
  SMEs


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France


  APAC

    China
    India
    Japan


  South America

    Brazil


  Middle East and Africa

By Deployment Insights

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

On-premises deployment is a traditional method for implementing technology solutions within an organization. This approach involves purchasing software with a one-time license fee and a service contract. On-premises solutions offer enhanced security, as they keep user credentials and data within the company's premises. They can be customized to meet specific business requirements, allowing for quick adaptation. On-premises deployment eliminates the need for third-party providers to manage and secure data, ensuring data privacy and confidentiality. Additionally, it enables rapid and easy data access, and keeps IP addresses and data confidential. This deployment model is particularly beneficial for businesses dealing with sensitive data, such as those in manufacturing and large enterprises. While cloud-based solutions offer flexibility and cost savings, on-premises deployment remains a popular choice for organizations prioritizing data security and control.

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The on-premises segment was valued at USD 38.70 million in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 48% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request F

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Big Data In Manufacturing Market Size 2024-2028

The big data in manufacturing market size is forecast to increase by USD 17.32 billion at a CAGR of 25.86% between 2023 and 2028.

The big data market in manufacturing is experiencing significant growth due to several key trends. The increasing adoption of Industry 4.0 and the emergence of artificial intelligence (AI) and machine learning (ML) are major drivers. The complexity of big data analytics is also fueling market growth. Industry 4.0, also known as the Fourth Industrial Revolution, is transforming manufacturing processes through automation and data-driven decision making. AI and ML are essential tools in this digital transformation, enabling predictive maintenance, quality control, and supply chain optimization. The analysis of vast amounts of data generated by these technologies is crucial for manufacturers to gain insights, improve efficiency, and remain competitive.
However, the challenges of managing and processing large volumes of data, ensuring data security, and integrating various data sources remain significant barriers to entry. Despite these challenges, the potential benefits of big data analytics in manufacturing are substantial, making it an exciting and dynamic market to watch.

What will be the Size of the Big Data In Manufacturing Market During the Forecast Period?

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The big data market in manufacturing is experiencing robust growth, driven by the increasing adoption of advanced technologies such as M2M communication, IoT, RFIDs, sensors, barcode readers, robots, automation, artificial intelligence (AI), and machine learning. OEMs are integrating these technologies into their production processes to enhance operational efficiency, reduce costs, and improve product quality. ERP systems are being upgraded with real-time analytics capabilities to enable data-driven decision-making. Processing power and storage capacity are no longer limiting factors, as cloud-based solutions offer virtually unlimited resources. Industrial digitalization is transforming the manufacturing landscape, with IT teams shifting focus from on-premises to cloud-based apps.
Open-source initiatives and descriptive analytics are gaining traction, enabling organizations to derive insights from their data and optimize performance. Connected devices and RFID technology are revolutionizing supply chain management and inventory control. Overall, the manufacturing industry is evolving into a metrics-based, data-driven sector, where AI and machine learning are becoming essential tools for competitive advantage.

How is this Big Data In Manufacturing Industry segmented and which is the largest segment?

The big data in manufacturing industry 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.

Type

  Services
  Solutions


Deployment

  On-premises
  Cloud-based
  Hybrid


Geography

  North America

    Canada
    US


  APAC

    China


  Europe

    Germany
    UK


  South America



  Middle East and Africa

By Type Insights

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

In the manufacturing sector, the services segment led the big data market in 2023 due to the increasing adoption of data analytics for cost savings, resource optimization, and operational efficiency. The manufacturing industry generates massive data from various sources, including sensors, machines, production lines, and supply chain operations. This data is a valuable asset, enabling predictive maintenance, real-time product quality monitoring, and inventory optimization. Big data services facilitate these applications, enabling manufacturers to minimize downtime, reduce defects, and optimize resource allocation. Leading OEMs, ERP systems, and M2M communication providers, such as John Deere, Oracle Corporation, and SAS Institute Inc, are integrating big data analytics into their offerings.

IoT, RFIDs, sensors, barcode readers, robots, and AI are key technologies driving industrial digitalization. Big data analytics solutions from Altair, Snowflake, Clustering, Regression, and Fair Isaac Corporation facilitate predictive asset management, inventory management, and supply chain analysis. The manufacturing industry's transition to connected factories and automation is accelerating, with cloud-based solutions from IBM, Cerner, and others enabling on-premises and cloud-based deployments.

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The Services segment was valued at USD 2.5 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 45% to the growth of the glo

Big Data refers to a large amount of data that is being generated around the world at an unprecedented rate. The data set in question is huge in size and complexity, rendering traditional data management techniques inefficient for processing. Big Data analytics deliver actionable insights based on information and raw data, acting as the driving force behind many ongoing waves of digital transformation, including artificial intelligence (AI), data science, and the Internet of Things (IoT). Many major healthcare companies and organizations are turning to a data-driven approach for transforming healthcare research, marketing, and practice. The core for this transformation is healthcare analytics, which will leave a vast impact on the healthcare sector by providing solutions that are automated, cost-effective, and highly efficient.
The healthcare service industry generates data in abundance in the form of physician notes, pathology reports, and so on, but the correct interpretation of this data is critical for providing actionable insights that will lead to better care. The use of predictive analytics can provide healthcare organizations with valuable insights to improve their existing business models and increase their profitability. Along with empowering the provider, analytics will play a crucial role in consumer empowerment by providing them accurate and actionable insights leading to more effective and faster decision-making. Big Data analytics is expected to revolutionize the industry, leading to better health practices. Read More

Insurance is a highly data-intensive industry, making it extremely important for insurers to manage large volumes of data from both traditional and non-traditional sources. As a result, many insurers are spending significant amounts on building Big Data capabilities, finding that Big Data analytics can have an impact on nearly all insurance processes, from product development to claims management. The objective should be to identify areas where Big Data can make a difference and create value for both insurers and the insured. Technology vendors are also aware of Big Data’s ability to deliver business insights. Simplification, cost reduction and revenue growth are the three key drivers behind Big Data’s adoption in the insurance industry. Read More

This statistic displays the average number of Big Data analytics solutions implemented per business in the United Kingdom (UK) in 2015, by industry. Investment banking firms were leading in the implementation of Big Data analytics. Retail Banking was the second ranked industry with an average of roughly 2.7 implemented Big Data analytics solutions per business.

Cloud computing, machine learning, augmented reality, internet TV, the Internet of Things (IoT), robotics, cryptocurrencies, voice, blockchain and cybersecurity. These are the big investment themes of tomorrow and they all have one thing in common: they generate huge amount of data. Read More

The global market for big data is maturing: forecasts predict the spend on big data technology and services to exceed $40bn in 2018. A review of the world's top FMCG companies reveals big data being used widely. Significant gains relate to using customer behavioral data to improve supply-chain issues, and support for specific marketing initiatives. Read More

The United Kingdom Data Center Market is segmented by Hotspot (London), by Data Center Size (Large, Massive, Medium, Mega, Small), by Tier Type (Tier 1 and 2, Tier 3, Tier 4) and by Absorption (Non-Utilized, Utilized). Market Volume in Megawatt (MW) is presented. Key Data Points observed include IT load capacity for existing and upcoming data centers, current and upcoming hotspots, average mobile data consumption, volume of fiber cable connectivity in KM, existing and upcoming submarine cables, rack space utilization, and number of data centers by tier.

"Pharmaceuticals: Drifting towards big data & analytics", a vertical focused report by GlobalData, is one of the many products in the digital Industry product portfolio. Read More

The Report Covers Business Intelligence Companies UK and the Market is segmented by Organization Size (Small & Medium-scale, Large-scale) and End-User (BFSI, IT & Telecom, Retail & Consumer Goods, Manufacturing & Logistics, and Public Services). The market sizes and forecasts are provided in terms of value (USD million) for all the above segments.

Big data is data that is so voluminous and complex that traditional data-processing application software is inadequate to deal with it in its entirety. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy. Big data is vital for companies of all stripes, as it allows them to understand their market better, understand their customers better, identify potential areas of opportunity and uncover internal waste and inefficiency. Read More

Success.ai’s Company Data Solutions provide businesses with powerful, enterprise-ready B2B company datasets, enabling you to unlock insights on over 28 million verified company profiles. Our solution is ideal for organizations seeking accurate and detailed B2B contact data, whether you’re targeting large enterprises, mid-sized businesses, or small business contact data.

Success.ai offers B2B marketing data across industries and geographies, tailored to fit your specific business needs. With our white-glove service, you’ll receive curated, ready-to-use company datasets without the hassle of managing data platforms yourself. Whether you’re looking for UK B2B data or global datasets, Success.ai ensures a seamless experience with the most accurate and up-to-date information in the market.

Why Choose Success.ai’s Company Data Solution? At Success.ai, we prioritize quality and relevancy. Every company profile is AI-validated for a 99% accuracy rate and manually reviewed to ensure you're accessing actionable and GDPR-compliant data. Our price match guarantee ensures you receive the best deal on the market, while our white-glove service provides personalized assistance in sourcing and delivering the data you need.

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Our database spans 195 countries and covers 28 million public and private company profiles, with detailed insights into each company’s structure, size, funding history, and key technologies. We provide B2B company data for businesses of all sizes, from small business contact data to large corporations, with extensive coverage in regions such as North America, Europe, Asia-Pacific, and Latin America.

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Company Name: Get the full legal name of the company. LinkedIn URL: Direct link to the company's LinkedIn profile. Company Domain: Website URL for more detailed research. Company Description: Overview of the company’s services and products. Company Location: Geographic location down to the city, state, and country. Company Industry: The sector or industry the company operates in. Employee Count: Number of employees to help identify company size. Technologies Used: Insights into key technologies employed by the company, valuable for tech-based outreach. Funding Information: Track total funding and the most recent funding dates for investment opportunities. Maximize Your Sales Potential: With Success.ai’s B2B contact data and company datasets, sales teams can build tailored lists of target accounts, identify decision-makers, and access real-time company intelligence. Our curated datasets ensure you’re always focused on high-value leads—those who are most likely to convert into clients. Whether you’re conducting account-based marketing (ABM), expanding your sales pipeline, or looking to improve your lead generation strategies, Success.ai offers the resources you need to scale your business efficiently.

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• Market Research: Enrich your market intelligence initiatives by gain...

The tourism industry is confronted with an incredible abundance of information, which has the potential to completely transform the sector, as long as it is wisely, efficiently, and correctly analyzed and used.
Big Data solutions can help the tourism industry in various ways, such as:
• Increase the efficiency of internal operations;
• Travel, revenue, and investment management;
• Boost financial performance;
• Improve distribution management;
• Offer more personalized and tailored products and services;
• Target the right customers with the right offers and marketing campaigns;
• Help in the decision-making process;
• Improve quality of services and products; and
• Price dynamics, especially in the air travel sector and metasearch engines. Read More

This statistic displays the risk management efficiency benefits as a result of Big Data in the United Kingdom (UK) from 2015 to 2020, by industry. It was estimated that manufacturing would benefit most from improved risk management due to Big Data implementation. The professional service sector was ranked second with roughly 9.4 billion British pounds.