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Big Data Market Size 2025-2029

The big data market size is valued to increase USD 193.2 billion, at a CAGR of 13.3% from 2024 to 2029. Surge in data generation will drive the big data market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 36% growth during the forecast period.
By Deployment - On-premises segment was valued at USD 55.30 billion in 2023
By Type - Services segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 193.04 billion
Market Future Opportunities: USD 193.20 billion
CAGR from 2024 to 2029 : 13.3%

Market Summary

In the dynamic realm of business intelligence, the market continues to expand at an unprecedented pace. According to recent estimates, this market is projected to reach a value of USD 274.3 billion by 2022, underscoring its significant impact on modern industries. This growth is driven by several factors, including the increasing volume, variety, and velocity of data generation. Moreover, the adoption of advanced technologies, such as machine learning and artificial intelligence, is enabling businesses to derive valuable insights from their data. Another key trend is the integration of blockchain solutions into big data implementation, enhancing data security and trust.
However, this rapid expansion also presents challenges, such as ensuring data privacy and security, managing data complexity, and addressing the skills gap. Despite these challenges, the future of the market looks promising, with continued innovation and investment in data analytics and management solutions. As businesses increasingly rely on data to drive decision-making and gain a competitive edge, the importance of effective big data strategies will only grow.

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

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How is the Big Data Market 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 ever-evolving landscape of data management, the market continues to expand with innovative technologies and solutions. On-premises big data software deployment, a popular choice for many organizations, offers control over hardware and software functions. Despite the high upfront costs for hardware purchases, it eliminates recurring monthly payments, making it a cost-effective alternative for some. However, cloud-based deployment, with its ease of access and flexibility, is increasingly popular, particularly for businesses dealing with high-velocity data ingestion. Cloud deployment, while convenient, comes with its own challenges, such as potential security breaches and the need for companies to manage their servers.

On-premises solutions, on the other hand, provide enhanced security and control, but require significant capital expenditure. Advanced analytics platforms, such as those employing deep learning models, parallel processing, and machine learning algorithms, are transforming data processing and analysis. Metadata management, data lineage tracking, and data versioning control are crucial components of these solutions, ensuring data accuracy and reliability. Data integration platforms, including IoT data integration and ETL process optimization, are essential for seamless data flow between systems. Real-time analytics, data visualization tools, and business intelligence dashboards enable organizations to make data-driven decisions. Data encryption methods, distributed computing, and data lake architectures further enhance data security and scalability.

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The On-premises segment was valued at USD 55.30 billion in 2019 and showed a gradual increase during the forecast period.

With the integration of AI-powered insights, natural language processing, and predictive modeling, businesses can unlock valuable insights from their data, improving operational efficiency and driving growth. A recent study reveals that the market is projected to reach USD 274.3 billion by 2022, underscoring its growing importance in today's data-driven economy. This continuous evolution of big data technologies and solutions underscores the need for robust data governa

The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027. What is Big data? Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets. Big data analytics Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.

The global big data analytics market size was valued at $307.52 billion in 2023 & is projected to grow from $348.21 billion in 2024 to $961.89 billion by 2032

Introduction

Big Data Statistics: Big Data Statistics involves the gathering, analysis, and interpretation of large volumes of data from diverse sources, including social media, sensors, online transactions, and digital devices. As businesses increasingly adopt data-driven strategies, the role of big data becomes more crucial.

By applying advanced statistical methods and leveraging powerful computing technologies, organizations can uncover valuable patterns, trends, and insights that fuel innovation and enhance competitive positioning. The growth of technologies such as machine learning, artificial intelligence, and cloud computing has enabled more efficient processing and analysis of massive datasets, leading to improvements in customer experience, operational efficiency, and strategic decision-making.

The global market for big data analytics is expected to grow rapidly, with sectors like healthcare, finance, retail, and manufacturing leading the way in adopting big data solutions.

The Big Data Technology Market report segments the industry into By Delivery Mode (On-Premise, Cloud), By End-user Vertical (Telecom & IT, Energy & Power, BFSI, Retail, Manufacturing, Aerospace & Defense, Engineering & Construction, Healthcare & Pharmaceuticals, and more), and By Geography (North America, Europe, Asia, Australia and New Zealand, Latin America, Middle East and Africa).

Big Data Market Outlook

According to our latest research, the global big data market size reached USD 332.7 billion in 2024, reflecting robust adoption across diverse industries. The market is projected to grow at a CAGR of 13.2% during the forecast period, reaching USD 862.5 billion by 2033. This remarkable growth is primarily driven by increasing data volumes, the proliferation of connected devices, and the rising demand for actionable insights to support strategic business decisions. The rapid evolution of digital transformation initiatives and the integration of artificial intelligence and machine learning into analytics platforms are further accelerating market momentum, as enterprises strive to harness the full potential of big data to gain a competitive edge.

One of the primary growth factors fueling the big data market is the exponential increase in data generation from various sources, including social media, IoT devices, enterprise applications, and digital transactions. Organizations are increasingly recognizing the value of leveraging this data to extract actionable insights, optimize operations, and personalize customer experiences. As the digital ecosystem expands, the need for advanced analytics tools capable of processing and analyzing vast, complex datasets has become paramount. The integration of big data analytics with cloud computing platforms further enhances scalability and accessibility, enabling even small and medium-sized enterprises (SMEs) to deploy sophisticated data-driven strategies without incurring significant infrastructure costs. This democratization of data analytics is significantly broadening the market’s addressable base.

Another significant driver is the surge in regulatory requirements and compliance mandates, particularly in sectors such as banking, healthcare, and government. These industries are compelled to implement robust data management and analytics frameworks to ensure data integrity, security, and regulatory compliance. Big data solutions offer advanced capabilities for real-time monitoring, risk assessment, and fraud detection, which are critical for organizations operating in highly regulated environments. Additionally, the growing emphasis on customer-centric strategies is prompting businesses to invest in customer analytics, enabling them to anticipate market trends, improve customer satisfaction, and foster loyalty through personalized offerings. The convergence of big data with emerging technologies like artificial intelligence, blockchain, and edge computing is opening new avenues for innovation and value creation.

Despite the positive outlook, the big data market faces challenges related to data privacy, security, and talent shortages. The increasing complexity of data ecosystems necessitates skilled professionals proficient in data science, analytics, and cybersecurity. Organizations are actively investing in workforce development and partnering with technology vendors to bridge these gaps. Furthermore, the shift towards hybrid and multi-cloud environments is driving demand for interoperable big data solutions that can seamlessly integrate disparate data sources while maintaining compliance with data sovereignty regulations. As businesses continue to navigate these complexities, the adoption of advanced big data platforms is expected to remain a critical enabler of digital transformation and business agility.

From a regional perspective, North America continues to dominate the big data market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The presence of leading technology companies, advanced digital infrastructure, and a strong focus on innovation underpin North America’s leadership. However, Asia Pacific is witnessing the fastest growth, driven by rapid digitalization, government initiatives, and the proliferation of internet-enabled devices. Countries such as China, India, and Japan are investing heavily in big data analytics to enhance public services, healthcare delivery, and industrial productivity. Meanwhile, Europe’s emphasis on data protection and digital sovereignty is spurring demand for secure and compliant big data solutions. The Middle East & Africa and Latin America are also emerging as promising markets, supported by increasing investments in smart city projects and digital transformation initiatives.

Big Data Analytics Market Outlook

According to our latest research, the global Big Data Analytics market size reached USD 318.5 billion in 2024, reflecting robust adoption across various industries. The market is poised to grow at a CAGR of 13.2% from 2025 to 2033, and is forecasted to attain a value of USD 857.4 billion by 2033. This remarkable expansion is driven by the escalating volume of data generated worldwide, the proliferation of digital transformation initiatives, and the increasing demand for actionable business intelligence. As organizations continue to leverage advanced analytics to gain competitive advantages, the Big Data Analytics market is set for unprecedented growth in the coming years.

The primary growth factor fueling the Big Data Analytics market is the exponential increase in data generation from diverse sources such as social media, IoT devices, enterprise applications, and cloud platforms. Organizations are increasingly recognizing the value of harnessing this vast data to uncover patterns, trends, and actionable insights that can drive strategic decision-making. The integration of artificial intelligence (AI) and machine learning (ML) with Big Data Analytics has further enhanced the capability to extract predictive and prescriptive insights, thereby optimizing operations, improving customer experiences, and enabling innovative business models. The need for real-time analytics and the ability to process unstructured data have also contributed significantly to market growth, as businesses seek to remain agile and responsive in a rapidly evolving digital landscape.

Another critical driver for the Big Data Analytics market is the rapid adoption of cloud computing technologies, which provide scalable and cost-effective platforms for storing and analyzing large volumes of data. Cloud-based analytics solutions offer flexibility, ease of deployment, and seamless integration with existing IT infrastructures, making them highly attractive to organizations of all sizes. The emergence of hybrid and multi-cloud environments has further facilitated the adoption of Big Data Analytics, allowing enterprises to leverage the best features of public and private clouds while ensuring data security and compliance. Additionally, the growing emphasis on data-driven decision making in sectors such as healthcare, BFSI, retail, and manufacturing is accelerating investments in advanced analytics solutions, contributing to sustained market expansion.

The increasing focus on regulatory compliance and data privacy is also shaping the growth trajectory of the Big Data Analytics market. Organizations are required to adhere to stringent regulations such as GDPR, HIPAA, and CCPA, necessitating robust data governance frameworks and secure analytics platforms. This has led to the development of sophisticated analytics tools that not only deliver actionable insights but also ensure data integrity, confidentiality, and compliance with global standards. Furthermore, the emergence of edge analytics and the integration of Big Data Analytics with IoT and blockchain technologies are opening new avenues for innovation, enabling real-time monitoring, predictive maintenance, and enhanced operational efficiency across industries.

From a regional perspective, North America continues to dominate the Big Data Analytics market owing to the presence of leading technology providers, high digital adoption rates, and substantial investments in advanced analytics solutions. However, the Asia Pacific region is witnessing the fastest growth, driven by rapid digitization, increasing internet penetration, and the proliferation of connected devices. Europe is also making significant strides, particularly in industries such as manufacturing, healthcare, and financial services, where data-driven insights are critical for operational excellence and regulatory compliance. The Middle East & Africa and Latin America are gradually catching up, fueled by government initiatives, infrastructure development, and the rising adoption of cloud-based analytics solutions.

The Big Data Basic Platform market is experiencing robust growth, projected to reach a market size of $150 billion by 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 18% from 2025 to 2033. This expansion is fueled by several key drivers, including the escalating volume and velocity of data generated across various industries, the increasing demand for real-time data analytics, and the growing adoption of cloud-based solutions for data storage and processing. Furthermore, advancements in technologies like artificial intelligence (AI) and machine learning (ML) are creating new opportunities for businesses to leverage big data for improved decision-making and enhanced operational efficiency. The market is segmented across various deployment models (cloud, on-premise, hybrid), industry verticals (finance, healthcare, retail, etc.), and functionalities (data ingestion, storage, processing, analytics). Key players in this competitive landscape include established technology giants like IBM, Microsoft, and AWS, alongside specialized big data solution providers such as Splunk and Cloudera. The market's growth trajectory is expected to remain strong throughout the forecast period, driven by ongoing digital transformation initiatives across enterprises globally. The significant market expansion reflects a confluence of factors. Businesses are increasingly recognizing the strategic value of big data for competitive advantage, leading to significant investments in platform infrastructure and skilled talent. Geographic expansion is also a notable driver, with developing economies witnessing accelerated adoption. However, challenges remain, including the complexities of data integration, security concerns related to sensitive data, and the need for skilled professionals capable of managing and interpreting large datasets. The market is witnessing increasing consolidation through mergers and acquisitions, as companies strive to broaden their service offerings and strengthen their market positions. The emergence of open-source technologies and the ongoing evolution of cloud computing architectures are further shaping the market's competitive dynamics, driving innovation and lowering the barrier to entry for new entrants. Future growth will likely depend on continued technological advancements, increasing data literacy, and the development of robust data governance frameworks.

The Big Data Basic Platform market is booming, projected to reach $150 billion by 2033 at a 15% CAGR. Discover key trends, drivers, restraints, and leading companies shaping this rapidly evolving sector. Learn more about cloud-based solutions, regional market shares, and future growth potential.

The global big data and business analytics (BDA) market was valued at ***** billion U.S. dollars in 2018 and is forecast to grow to ***** billion U.S. dollars by 2021. In 2021, more than half of BDA spending will go towards services. IT services is projected to make up around ** billion U.S. dollars, and business services will account for the remainder. Big data High volume, high velocity and high variety: one or more of these characteristics is used to define big data, the kind of data sets that are too large or too complex for traditional data processing applications. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets. For example, connected IoT devices are projected to generate **** ZBs of data in 2025. Business analytics Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate business insights. The size of the business intelligence and analytics software application market is forecast to reach around **** billion U.S. dollars in 2022. Growth in this market is driven by a focus on digital transformation, a demand for data visualization dashboards, and an increased adoption of cloud.

The Big Data Market is projected to grow at a CAGR of around 14.7% during 2023-28, says MarkNtel Advisors. (Top Companies - Accenture PLC, Cloudera Inc., Teradata Corporation, Microsoft Corporation, Splunk Inc., Amazon Web Services, and Cisco Systems Inc)

Big Data Analytics In Healthcare Market size was valued at USD 37.22 Billion in 2024 and is projected to reach USD 74.82 Billion by 2032, growing at a CAGR of 9.12% from 2026 to 2032.Rising adoption of electronic health records (EHRs) and digital healthcare solutions: The widespread adoption of electronic health records (EHRs) and other digital healthcare solutions is the foundational driver for the big data analytics market. With over 96% of U.S. hospitals now using EHRs, a vast, standardized, and machine-readable data source has become available.Growing need to reduce healthcare costs through efficient data-driven decision-making: Healthcare costs are a global concern, and the pressure to reduce expenditures without compromising care quality is a powerful driver for the adoption of big data analytics. Analytics provides a data-driven approach to identifying and eliminating waste, fraud, and abuse.

Discover the explosive growth of the Full-Link Big Data Solution market, projected to reach $500B by 2033! This in-depth analysis reveals key drivers, trends, and leading companies like AWS, Google Cloud, and Azure, shaping the future of data analytics. Explore market segmentation, regional insights, and growth projections for informed strategic decisions.

Journal of Big Data Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material. All articles published by the Journal of Big Data are made freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers. As authors of articles published in the Journal of Big Data you are the copyright holders of your article and have granted to any third party, in advance and in perpetuity, the right to use, reproduce or disseminate your article, according to the SpringerOpen copyright and license agreement. For those of you who are US government employees or are prevented from being copyright holders for similar reasons, SpringerOpen can accommodate non-standard copyright lines.

The India Big Data Technology and Service Market Report is Segmented by Type (Solution, Services), Deployment Model (On-Premise, Cloud, Hybrid), Organization Size (Small and Medium Enterprise, Large Enterprise), and End-User Vertical (BFSI, Retail and E-Commerce, Telecom and IT, Media and Entertainment, and More). The Market Forecasts are Provided in Terms of Value (USD).

Journal of Big Data - ResearchHelpDesk - The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material. All articles published by the Journal of Big Data are made freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers. As authors of articles published in the Journal of Big Data you are the copyright holders of your article and have granted to any third party, in advance and in perpetuity, the right to use, reproduce or disseminate your article, according to the SpringerOpen copyright and license agreement. For those of you who are US government employees or are prevented from being copyright holders for similar reasons, SpringerOpen can accommodate non-standard copyright lines.

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Big Data Services Market Size 2025-2029

The big data services market size is forecast to increase by USD 604.2 billion, at a CAGR of 54.4% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing adoption of big data in various industries, particularly in blockchain technology. The ability to process and analyze vast amounts of data in real-time is revolutionizing business operations and decision-making processes. However, this market is not without challenges. One of the most pressing issues is the need to cater to diverse client requirements, each with unique data needs and expectations. This necessitates customized solutions and a deep understanding of various industries and their data requirements. Additionally, ensuring data security and privacy in an increasingly interconnected world poses a significant challenge. Companies must navigate these obstacles while maintaining compliance with regulations and adhering to ethical data handling practices. To capitalize on the opportunities presented by the market, organizations must focus on developing innovative solutions that address these challenges while delivering value to their clients. By staying abreast of industry trends and investing in advanced technologies, they can effectively meet client demands and differentiate themselves in a competitive landscape.

What will be the Size of the Big Data Services 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 ever-increasing volume, velocity, and variety of data being generated across various sectors. Data extraction is a crucial component of this dynamic landscape, enabling entities to derive valuable insights from their data. Human resource management, for instance, benefits from data-driven decision making, operational efficiency, and data enrichment. Batch processing and data integration are essential for data warehousing and data pipeline management. Data governance and data federation ensure data accessibility, quality, and security. Data lineage and data monetization facilitate data sharing and collaboration, while data discovery and data mining uncover hidden patterns and trends. Real-time analytics and risk management provide operational agility and help mitigate potential threats. Machine learning and deep learning algorithms enable predictive analytics, enhancing business intelligence and customer insights. Data visualization and data transformation facilitate data usability and data loading into NoSQL databases. Government analytics, financial services analytics, supply chain optimization, and manufacturing analytics are just a few applications of big data services. Cloud computing and data streaming further expand the market's reach and capabilities. Data literacy and data collaboration are essential for effective data usage and collaboration. Data security and data cleansing are ongoing concerns, with the market continuously evolving to address these challenges. The integration of natural language processing, computer vision, and fraud detection further enhances the value proposition of big data services. The market's continuous dynamism underscores the importance of data cataloging, metadata management, and data modeling for effective data management and optimization.

How is this Big Data Services Industry segmented?

The big data services 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. ComponentSolutionServicesEnd-userBFSITelecomRetailOthersTypeData storage and managementData analytics and visualizationConsulting servicesImplementation and integration servicesSupport and maintenance servicesSectorLarge enterprisesSmall and medium enterprises (SMEs)GeographyNorth AmericaUSMexicoEuropeFranceGermanyItalyUKMiddle East and AfricaUAEAPACAustraliaChinaIndiaJapanSouth KoreaSouth AmericaBrazilRest of World (ROW).

By Component Insights

The solution segment is estimated to witness significant growth during the forecast period.Big data services have become indispensable for businesses seeking operational efficiency and customer insight. The vast expanse of structured and unstructured data presents an opportunity for organizations to analyze consumer behaviors across multiple channels. Big data solutions facilitate the integration and processing of data from various sources, enabling businesses to gain a deeper understanding of customer sentiment towards their products or services. Data governance ensures data quality and security, while data federation and data lineage provide transparency and traceability. Artificial intelligence and machine learning algo

Snapshot img { margin: 10px !important; } About SME Big Data Big data solutions include a wide range of hardware, software, and services required for processing and analyzing structured and unstructured data that is too big for traditional data processing tools to manage. These data are generated by various sources such as mobile devices, digital repositories, and enterprise applications and range in size from terabytes (10^12 bytes) to petabytes (10^15 bytes) and even exabytes (10^18 bytes). Due to the considerably large size of big data, it is difficult for SMEs to manage and analyze the data using existing traditional data processing tools. Big data solutions are being used for a wide range of applications such as conversation analysis in social networking websites, fraud management in the BFSI sector, and disease diagnosis in the Healthcare sector. Due to the increasing need for big data solutions, the Global SME Big Data market is expected to witness rapid growth during the forecast period. TechNavio's analysts forecast the Global SME Big Data market will grow at a CAGR of 42.94 percent over the period 2013-2018.Covered in this Report This report covers the present scenario and the growth prospects of the Global SME Big Data market for the period 2014-2018. To calculate the market size, the report considers revenue generated from sales ofHardware: Big data storage, servers, and networking componentsSoftware applications: Apache Hadoop, NoSQL, Cassandra, and other big data software applicationsServices: Big data analytics and consulting, implementation, support, and professional servicesTechNavio's report, the Global SME Big Data Market 2014-2018, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the APAC, the EMEA, and the Americas regions; it also covers the Global SME Big Data market landscape and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.Key RegionsAmericas APACEMEAKey VendorsHewlett-Packard Co.IBM Corp.Oracle Corp.Teradata Corp.Other Prominent VendorsAmazon Web Services, Inc.Cloudera, Inc.Couchbase Inc.EMC Corp.Google Inc.Microsoft Corp.SAP AGSplunk Inc.Key Market DriverIncreasing Need to Improve Business Processes Efficiency.For a full, detailed list, view our report.Key Market ChallengeLack of Awareness among SMEs about Potential of Big Data Solutions.For a full, detailed list, view our report.Key Market TrendIncreasing Market Consolidation.For a full, detailed list, view our report.Key Questions Answered in this ReportWhat will the market size be in 2018 and what will the growth rate be?What are the key market trends?What is driving this market?What are the challenges to market growth?Who are the key vendors in this market space?What are the market opportunities and threats faced by the key vendors?What are the strengths and weaknesses of the key vendors?You can request one free hour of our analyst’s time when you purchase this market report. Details are provided within the report.

The statistic shows the problems that organizations face when using big data technologies worldwide as of 2017. Around ** percent of respondents stated that inadequate analytical know-how was a major problem that their organization faced when using big data technologies as of 2017.

The global big data technology market is expected to grow at a CAGR of 17.10% during the period 2025-2034. The market is expected to be driven by organizations’ need to gather and analyse huge amounts of data to gain insights and make intelligent decisions. North America, Europe and Asia are expected to be key markets.