[Coursera] Web Intelligence and Big Data by Dr. Gautam Shroff

Apache Kafka led the global big data processing industry in 2025 with a market share of 18.13 percent. Other noteworthy software packages in the sector include Apache Hadoop and Databricks with 12 and 9.61 percent shares respectively.

The global Big Data Analysis Software market is experiencing robust growth, driven by the increasing volume of data generated across various sectors and the rising need for extracting actionable insights. The market size in 2025 is estimated at $50 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% during the forecast period (2025-2033). This significant expansion is fueled by several key factors. The widespread adoption of cloud-based solutions offers scalability and cost-effectiveness, attracting businesses of all sizes. Furthermore, the emergence of advanced analytics techniques, such as machine learning and artificial intelligence, enhances the ability to derive meaningful predictions and improve decision-making. Industry verticals like banking, manufacturing, and government are leading the adoption, leveraging big data analytics for risk management, process optimization, and improved customer service. However, challenges such as data security concerns, the need for skilled professionals, and the complexity of integrating diverse data sources are acting as restraints. The market segmentation reveals strong growth in cloud-based solutions, reflecting the shift towards flexible and readily available software infrastructure. Significant regional variations exist, with North America and Europe currently holding the largest market shares, though Asia-Pacific is projected to witness accelerated growth due to increasing digitalization and technological advancements. The competitive landscape is characterized by a mix of established players like IBM, Google, and Amazon Web Services, alongside specialized software providers such as Qlucore and Atlas.ti. These companies are continuously innovating to provide comprehensive solutions that cater to the evolving needs of businesses. The future of the Big Data Analysis Software market hinges on advancements in data visualization, enhanced integration capabilities, and the development of user-friendly interfaces. The market is likely to see further consolidation as companies strive to offer end-to-end analytics solutions, including data ingestion, processing, analysis, and visualization. The continued focus on addressing data security and privacy concerns will also play a critical role in shaping the market trajectory. The forecast suggests that by 2033, the market will surpass $150 billion, showcasing the transformative potential of big data analytics across various sectors globally.

Snapshot img

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?

Get Key Insights on Market Forecast (PDF) Request Free Sample

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.

Request Free Sample

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

MATLAB led the global advanced analytics and data science software industry in 2025 with a market share of 18.23 percent. First launched in 1984, MATLAB is developed by the U.S. firm MathWorks.

The Full-Link Big Data Solution market is experiencing robust growth, driven by the increasing need for comprehensive data analysis across various industries. The market, estimated at $150 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $500 billion by 2033. This expansion is fueled by several key factors. The rise of cloud computing provides scalable and cost-effective solutions for data storage and processing, empowering organizations of all sizes to leverage big data analytics. Furthermore, advancements in artificial intelligence (AI) and machine learning (ML) are enhancing the analytical capabilities of these solutions, unlocking deeper insights from complex datasets. The growing demand for real-time data analytics across sectors like finance, healthcare, and retail is also significantly contributing to market growth. However, challenges remain, including data security concerns, the complexity of implementing full-link solutions, and the need for skilled professionals to manage and interpret the resulting data. Despite these restraints, the market's segmentation offers diverse opportunities. Leading players like Alibaba Cloud, Amazon Web Services, Google, Microsoft, IBM, Teradata, Snowflake, Cloudera, Huawei, and Tencent are actively innovating and expanding their offerings to cater to specific industry needs. Geographic growth is uneven; North America and Europe currently hold significant market share, but rapid adoption in Asia-Pacific and other emerging regions is expected to drive substantial future growth. The market's trajectory indicates a continued upward trend, fueled by technological advancements and the ever-increasing reliance on data-driven decision-making across industries. The strategic partnerships and acquisitions within the industry further solidify its robust expansion.

WIDEa is R-based software aiming to provide users with a range of functionalities to explore, manage, clean and analyse "big" environmental and (in/ex situ) experimental data. These functionalities are the following, 1. Loading/reading different data types: basic (called normal), temporal, infrared spectra of mid/near region (called IR) with frequency (wavenumber) used as unit (in cm-1); 2. Interactive data visualization from a multitude of graph representations: 2D/3D scatter-plot, box-plot, hist-plot, bar-plot, correlation matrix; 3. Manipulation of variables: concatenation of qualitative variables, transformation of quantitative variables by generic functions in R; 4. Application of mathematical/statistical methods; 5. Creation/management of data (named flag data) considered as atypical; 6. Study of normal distribution model results for different strategies: calibration (checking assumptions on residuals), validation (comparison between measured and fitted values). The model form can be more or less complex: mixed effects, main/interaction effects, weighted residuals.

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.

By 2034, the Big Data Security Market is expected to reach a valuation of USD 300.9 billion, expanding at a healthy CAGR of 25.6%.

The global social media analytics and monitoring software industry in 2024 had Linkfluence as the market leader with a share of over 56 percent, followed by Meltwater and Netvibes who had market shares of approximately 18 and 8.1 percent, respectively. When social media analytics and monitoring software are combined, it optimizes the extracted social media insights gained through analyzing and monitoring social media data.

Pinterest Analytics led the global marketing analytics software industry in 2024 with a market share of over 50 percent, followed by Barometric with a market share of around 8 percent. Marketing analytics software allows businesses to evaluate the success of their various marketing initiatives.

The Big Data User Behavior Analysis Platform market is experiencing robust growth, driven by the increasing need for businesses to understand customer interactions and optimize digital experiences. The market, currently estimated at $15 billion in 2025, is projected to grow at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $50 billion by 2033. This expansion is fueled by several key factors. The proliferation of digital channels and the exponential increase in data generated by user interactions necessitate sophisticated analytics solutions. Businesses across diverse sectors, including e-commerce, media, and SaaS, are leveraging these platforms to personalize marketing campaigns, improve website design, enhance product development, and ultimately drive revenue growth. The rising adoption of cloud-based solutions and the increasing availability of advanced analytical techniques further contribute to market expansion. Segmentation reveals strong growth in both the Enterprise and E-commerce Analysis Platform segments, reflecting the critical role of data-driven decision-making in these sectors. Competitive intensity is high, with established players like Google and Adobe competing with agile startups and specialized platforms. Geographic analysis indicates that North America currently holds the largest market share, benefiting from early adoption and a strong technological infrastructure. However, rapidly developing economies in Asia-Pacific, particularly China and India, are poised for significant growth in the coming years, presenting substantial opportunities for market expansion. While data privacy regulations and the complexity of integrating these platforms into existing infrastructures pose challenges, the overall market trajectory remains strongly positive. The continuous advancement in machine learning and AI-driven analytics will further enhance the capabilities of these platforms, driving further adoption and fueling market growth in the long term. The increasing demand for real-time insights and predictive analytics will also shape the future of this dynamic market.

Cursos de Big Data: ▷profesionales para hacer crecer tu empresa. ▷Consigue descuentos y regalos.

Question Paper Solutions of chapter Data Base for the Modern Web of Big Data Analysis, 8th Semester , Applied Electronics and Instrumentation Engineering

Psychology still relies often on questionnaires to gather data. Despite ubiquitous computing and internet, these are often still conducted with paper and clipboard. Where the internet is used, standalone questionnaires from bulk providers like Survey Monkey are the norm. For our studies related to social networks on online disclosure, we have developed a custom site for online questionnaires, designed to engage participants and allow linking of data from one study to the next – PsyQu.com PsyQu is a modern website developed around a database and as such has a ‘schema’. This data structure encapsulates the project, researcher(s) and participant(s) in a manner that allows for participants to link multiple attempts at multiple studies under their single account. This will allow cross-linked and longitudinal studies to be performed. By moving beyond standalone questionnaires, we hope to discover new correlative and predictive patterns between online behavior and other psychological dimensions. At present, the site is in alpha testing mode with only 1 group of researchers and 3 studies: social capital, online self-disclosure and personality. In the social capital study, we used a standard scale for investigating online social capital and social trust, in an attempt to find out differences between various groups. A paper survey was also conducted in order to compare with the online survey since there has been debate on the reliability of online participation. We will present the website, initial results of the social capital study.

Marine Big Data and Digitalization Market Outlook

The global Marine Big Data and Digitalization market size was estimated to be USD 3.5 billion in 2023 and is forecasted to reach USD 12.9 billion by 2032, growing at a robust CAGR of 15.6%. The marked growth in this market can be attributed to several factors such as the increasing adoption of IoT, the need for improved operational efficiency, and the rising investment in the maritime sector's digital transformation.

One of the primary growth drivers for the Marine Big Data and Digitalization market is the increasing adoption of IoT and automation technologies in the maritime industry. With the gradual digitalization of the marine sector, there is a notable shift from traditional methods to more advanced data-driven approaches. The integration of IoT devices enables real-time monitoring and predictive maintenance, thereby enhancing operational efficiencies and reducing costs. These advancements are crucial for shipping companies and port authorities in maintaining competitiveness in an increasingly digitized world.

Another significant factor contributing to the market growth is the surge in global maritime trade. As global trade continues to expand, the volume of goods transported by sea is also increasing. This upsurge necessitates the need for more sophisticated fleet management and vessel tracking systems to ensure efficiency, safety, and compliance with international regulations. Advanced data analytics and digitalization tools play a pivotal role in managing this complex logistical web, thereby driving the demand for marine big data solutions.

The growing emphasis on environmental sustainability and regulatory compliance is also a major growth driver. With stricter regulations surrounding emissions and environmental impacts, maritime companies are increasingly turning to digital solutions for environmental monitoring and compliance. Advanced data analytics can help in tracking emissions, optimizing fuel consumption, and ensuring adherence to environmental standards. This not only helps in regulatory compliance but also enhances the sustainability initiatives of maritime organizations.

Regional dynamics play a crucial role in shaping the growth trajectory of the Marine Big Data and Digitalization market. North America and Europe are at the forefront of adopting advanced digital solutions, driven by strong technological infrastructure and significant investments in R&D. Asia Pacific, however, is expected to witness the highest growth rate during the forecast period, owing to burgeoning maritime trade, extensive port development projects, and increasing digital transformation initiatives in countries like China, Japan, and South Korea.

Component Analysis

The component segment of the Marine Big Data and Digitalization market can be broadly categorized into software, hardware, and services. The software segment is anticipated to hold the largest market share owing to the increasing adoption of advanced analytics, AI, and machine learning solutions to streamline marine operations. Solutions such as fleet management software and predictive maintenance algorithms are in high demand, driven by the need for real-time data analysis and decision-making capabilities.

In the hardware segment, the market is propelled by the demand for advanced sensors, communication devices, and navigational instruments. These hardware components are essential for capturing and transmitting vast amounts of data, which are then analyzed by sophisticated software tools. The integration of IoT devices in maritime operations has significantly boosted the hardware segment, as these devices are critical for real-time monitoring and data collection.

The services segment is also witnessing substantial growth, underpinned by the increasing need for consulting, implementation, and maintenance services. As maritime companies embark on their digital transformation journeys, they require expert guidance and support to effectively integrate and utilize big data and digitalization tools. Service providers offer a range of solutions, from initial setup and customization to ongoing maintenance and support, ensuring the seamless operation of digital systems.

Another emerging trend within the component segment is the convergence of software and hardware solutions, leading to integrated platforms that offer end-to-end digitalization capabilities. These integrated solutions provide a cohesive framework for data collection, analysis, and decision-making, thereby enhancing

The revenue is forecast to experience significant growth in all regions in 2029. From the selected regions, the ranking by revenue in the data center market is forecast to be led by the United States with 212.06 billion U.S. dollars. In contrast, the ranking is trailed by the United Kingdom with 23.76 billion U.S. dollars, recording a difference of 188.3 billion U.S. dollars to the United States. Find further statistics on other topics such as a comparison of the revenue in the world and a comparison of the revenue in the United States.The Statista Market Insights cover a broad range of additional markets.

The Big Data User Behavior Analysis Platform market is poised for substantial growth, projected to reach an estimated market size of $4,300 million by 2025, with a robust Compound Annual Growth Rate (CAGR) of 22% anticipated over the forecast period of 2025-2033. This dynamic expansion is fueled by an increasing reliance on data-driven decision-making across enterprises and the escalating need to understand intricate customer journeys. Key drivers propelling this market include the growing volume and velocity of user data generated from digital touchpoints, the imperative for personalized user experiences in an increasingly competitive digital landscape, and the demand for advanced analytics to optimize product development, marketing campaigns, and customer retention strategies. The rise of e-commerce and the proliferation of web applications further amplify the need for sophisticated platforms capable of dissecting user interactions, identifying conversion bottlenecks, and uncovering actionable insights. The market is segmented into Personal and Enterprise applications, with the Enterprise segment expected to dominate due to its extensive data processing needs and the critical role of user behavior analytics in driving business outcomes. Within platform types, Website Analysis Platforms and E-Commerce Analysis Platforms are expected to see significant adoption, directly catering to the core functionalities of understanding online user engagement. Major industry players such as Mixpanel, Google, Amplitude, and Adobe are actively innovating, offering comprehensive solutions that integrate data collection, analysis, and visualization. Geographically, North America and Europe are established leaders, driven by early adoption of advanced analytics and a mature digital ecosystem. However, the Asia Pacific region, particularly China and India, is emerging as a high-growth area, fueled by rapid digital transformation and a burgeoning e-commerce sector. Restraints such as data privacy concerns and the complexity of integrating disparate data sources are being addressed through evolving regulatory frameworks and advancements in data integration technologies. This report offers an in-depth analysis of the Big Data User Behavior Analysis Platform market, meticulously examining its landscape from the Historical Period (2019-2024) through to the Forecast Period (2025-2033), with a Base Year and Estimated Year of 2025. The study provides invaluable insights into market dynamics, key players, emerging trends, and growth catalysts that are shaping this multi-million dollar industry. With an anticipated market size of well over 5,000 million USD by 2025, this report is essential for understanding current strategies and future trajectories.

Conceptual overview of the MataNui Grid data infrastructure as well as details on the performance evaluation conducted using the Griffin GridFTP server and RESTful Web Service against a MongoDB/GridFS-based MataNui storage.

This content is augmenting the content of to the paper "MataNui - A Distributed Storage Infrastructure for Scientific Data" in the proceedings of the International Conference on Computational Science (ICCS) 2013, published in Elsevier's Procedia Computer Science series [http://www.elsevier.com/wps/find/journaldescription.cws_home/719435/description].

This statistic shows the distribution of the global big data market related to healthcare in 2016 and a forecast for 2025, by market share. It is predicted that by 2025 the market share of analytics services will increase to over 42 percent.