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.

In 2022, China's big data industry grew by almost ** percent compared to the previous year, exceeding a market size of *** trillion yuan. The Chinese government has plans to transform the country into a global technology leader and big data is one important vector in this development.

This statistic shows the growth rate of the global big data market from 2012 to 2027. The big data market is forecast to grow by 20 percent in 2018, reaching 42 billion U.S. dollars in size.

The big data security market is projected to be valued at US$ 20,418.4 million in 2023 and is expected to rise to US$ 72,652.6 million by 2033. The sales of big data security are expected to record a significant CAGR of 13.5% during the forecast period.

Attribute	Details
Market Estimated Size (2023)	US$ 20,418.4 million
Market CAGR (2023-2033)	13.5%
Market Forecasted Size (2033)	US$ 72,652.6 million

Scope of the Report

Attribute	Details
Growth Rate	CAGR of 13.5% from 2023 to 2033
Base Year of Estimation	2023
Historical Data	2018 to 2022
Forecast Period	2023 to 2033
Quantitative Units	Revenue in US$ million and Volume in Units and F-CAGR from 2023 to 2033
Report Coverage	Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, growth factors, Trends, and Pricing Analysis
Key Segments Covered	Deployment Vertical By Region
Regions Covered	North America Latin America Europe East Asia South Asia The Middle East & Africa Oceania
Key Countries Profiled	The United States Canada Brazil Mexico Germany Italy France The United Kingdom Spain Russia China Japan India GCC Countries Australia
Key Companies Profiled	Oracle Corporation Microsoft Corporation Symantec Corporation IBM Corporation Amazon Web Services Hewlett Packard Enterprise MacAfee LLC Check Point Software Technologies Ltd. Imperva Inc. Dell Technologies
Customization & Pricing	Available upon Request

The projected market size for Big Data Analytics is expected to reach USD 304. 57 billion by the end of 2023, with a compound annual growth rate (CAGR) of 14.9% during the forecast period. The growth of the Big Data Analytics market is driven by the increasing adoption of data-driven decision-making as enterprises spanning diverse industries are increasingly acknowledging the importance of data-driven decision making to extract insights, optimize operations, and enhance business outcomes. Big data and analytics solutions are utilized to analyze substantial amounts of structured and unstructured data, unearthing actionable insights, and facilitating informed decision making.

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Big Data in Oil & Gas Market By Size, Share, Trends, Opportunity, and Forecast, 2018-2028, Segmented By Components, By Application, By Data Type, By Region, Competition Forecast and Opportunities

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Forecast Market Size
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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.

What will be the Big Data as a Service Market Size During the Forecast Period?

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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

This statistic presents the market value of the big data analytics sector in Italy from 2015 to 2018. According to the data, the market value of big data analytics increased steadily over the period considered, growing from *** million euros in 2015 to approximately *** billion euros in 2018.

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Internet Of Things (Iot) Data Management Market Size 2024-2028

The internet of things (iot) data management market size is forecast to increase by USD 90.3 billion, at a CAGR of 15.72% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing adoption of industrial automation and the leveraging of manufacturing data for predictive maintenance. Companies are recognizing the value of IoT initiatives and investments, as they enable real-time monitoring, analysis, and optimization of business processes. However, despite these opportunities, challenges persist. One major obstacle is the lack of awareness and understanding of efficient methods for managing the vast amounts of data generated by IoT devices. Addressing this challenge requires a strategic approach to data management, including the implementation of advanced analytics tools and the development of robust data architectures. Companies seeking to capitalize on the opportunities presented by the IoT Data Management Market must navigate these challenges effectively, ensuring they are well-positioned to harness the power of data to drive operational efficiency and strategic decision-making.

What will be the Size of the Internet Of Things (Iot) Data Management Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
Request Free SampleThe market is characterized by continuous evolution and dynamic market activities. IoT sensors generate vast amounts of data, necessitating robust data governance and management solutions. Machine learning algorithms and cloud computing facilitate data analysis, enabling real-time insights and predictive analytics. Data lineage and modeling are crucial for understanding data origins and relationships, while big data and data warehousing provide scalable storage solutions. Data sovereignty and privacy concerns are paramount, with data security, access control, masking, anonymization, and encryption essential for safeguarding sensitive information. Data quality, data lakes, and data catalogs ensure data accuracy and accessibility. Industrial IoT, smart cities, smart homes, wearable technology, connected vehicles, and edge computing are among the sectors experiencing significant growth in IoT data management applications. Data integration, data monitoring, and data backup are essential components of IoT data management, ensuring seamless data flow and disaster recovery. Predictive analytics and business intelligence provide actionable insights, driving operational efficiency and strategic decision-making. The ongoing unfolding of market activities and evolving patterns underscore the importance of staying informed and adaptable in this rapidly evolving landscape.

How is this Internet Of Things (Iot) Data Management Industry segmented?

The internet of things (iot) data management 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. ComponentSolutionsServicesDeploymentPrivate/hybridPublicGeographyNorth AmericaUSCanadaEuropeGermanyUKAPACChinaRest of World (ROW).

By Component Insights

The solutions segment is estimated to witness significant growth during the forecast period.In the dynamic landscape of the IoT data management market in 2023, software and hardware solutions in the solutions segment hold a significant share. The global expansion of IT and retail industries, driving the generation of vast amounts of data, fuels this market growth. In emerging economies like China, India, Brazil, Indonesia, and Mexico, the number of SMEs is increasing, leading to a rising demand for software-based IoT data management solutions to derive valuable business insights. companies in this market offer software solutions to various industries, enabling them to collect and analyze data in real-time for informed decision-making. Artificial intelligence, machine learning, and predictive analytics play crucial roles in extracting valuable insights from the massive data streams. Data pipelines and data streaming ensure seamless data transfer and processing, while data visualization tools help organizations gain a comprehensive understanding of their data. Data governance, data privacy, and data security are essential aspects of IoT data management, with cloud computing and edge computing offering flexible and secure solutions. Data lineage, data modeling, and big data analytics enable organizations to gain deeper insights and make data-driven decisions. The integration of IoT sensors, wearable technology, and smart devices in various applications, from industrial IoT to smart cities and homes, further expands the market's reach. Data access control,

Big Data Security Market By Size, Share, Trends, Opportunity, and Forecast 2018-2028, Segmented By Solution Type, By Deployment, By Organization Size, By Industry Vertical, By Region, Competition Forecast and Opportunities

Pages	110
Market Size
Forecast Market Size
CAGR
Fastest Growing Segment
Largest Market
Key Players

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Location Analytics Tools Market Size 2024-2028

The location analytics tools market size is forecast to increase by USD 17.79 billion at a CAGR of 16.93% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing awareness and adoption of location-enabled services, particularly those leveraging Artificial Intelligence (AI) and machine learning capabilities for advanced analysis. This trend is being fueled by the vast amounts of location-based data being generated daily from various sources, including mobile devices, IoT sensors, and GPS systems. However, market expansion is not without challenges. Stringent government regulations governing the collection, storage, and usage of location-based data pose significant hurdles for market participants. Ensuring compliance with these regulations is crucial for maintaining consumer trust and avoiding potential legal and reputational risks. Companies seeking to capitalize on market opportunities must navigate these challenges effectively, investing in data security measures and adhering to industry best practices. Additionally, staying abreast of regulatory changes and adapting to evolving consumer expectations will be essential for long-term success in the market.

What will be the Size of the Location Analytics Tools Market during the forecast period?

Request Free SampleThe market encompasses the use of geographic data in conjunction with operational and customer data to derive valuable insights for decision-making. This market experiences significant growth due to the increasing importance of customer behavior and improving operational efficiency in various industries. Businesses face challenges in managing and analyzing large volumes of data from sources such as mobile positioning, satellite-based GPS, Wi-Fi location analytics, and IoT devices. Cloud-based solutions and real-time location data processing enable organizations to make informed decisions quickly. Geocoding and reverse geocoding technologies facilitate the integration of location data with other business data. Furthermore, advancements in ML technologies, big data, and AI are enhancing the capabilities of location analytics tools, providing more accurate and actionable insights. Applications of location analytics span across diverse sectors, including medical equipment, retail centers, and logistics, among others. Overall, the market is poised for continued expansion as businesses increasingly recognize the value of location data in driving strategic initiatives.

How is this Location Analytics Tools Industry segmented?

The location analytics tools 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. End-userTransportationRetailBFSIMedia and entertainmentTelecom and othersTypeOutdoor locationIndoor locationGeographyNorth AmericaUSEuropeGermanyUKAPACChinaJapanMiddle East and AfricaSouth America

By End-user Insights

The transportation segment is estimated to witness significant growth during the forecast period.Transportation companies are integrating location analytics tools to optimize their operations and address the challenges of managing increasing material transportation needs, reducing costs, and meeting customer service-level agreements. These tools enable real-time analysis of location-specific data, such as road conditions, weather updates, urban infrastructure, and route permissions, which are crucial for efficient route planning and resource allocation. The data is visualized as interactive maps to facilitate decision-making and improve operational efficiency. Digitalization and IoT systems play a significant role in gathering and transmitting real-time location data. Location analytics also supports predictive analytics, risk mitigation, asset management, and supply chain coordination. However, privacy concerns and data protection regulations necessitate careful handling of sensitive geospatial data. Cloud computing and Software-as-a-Service (SaaS) models facilitate scalable solutions for transportation companies. Location analytics tools offer various deployment options, including cloud and on-premises, and provide features such as indoor and outdoor tracking, user behavior analysis, and thematic mapping. They also integrate with business intelligence tools and offer reporting, visualization, and spatial analysis capabilities.

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The Transportation segment was valued at USD 2.07 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 40% to the growth of the global market during the forecast period.Technavio’s analysts have elabo

The global big data analytics market will grow with a compound annual growth rate of almost ** percent in the coming years, with revenue reaching over ** billion U.S. dollars by 2025 from around ** billion U.S. dollars in 2019.

The global visual analytics market, which is valued at US$ 8,457.6 million in 2023, is forecast to expand at a CAGR of 21.4% from 2023 to 2033, and is expected to be valued at US$ 58,969.8 million by 2033.

Attribute	Details
Visual Analytics Market CAGR (2023 to 2033)	21.4%
Visual Analytics Market Size (2023)	US$ 8,457.6 million
Visual Analytics Market Size (2033)	US$ 58,969.8 million

Big Data to be a Harbinger to the Growth of the Visual Analytics Market (2018 to 2022 vs. 2023 to 2033)

Particulars	Details
Market Size (2018)	US$ 3,479.4 million
Market Size (2022)	US$ 7,059.8 million
Market CAGR (2023 to 2033)	19.3%
Market Growth Rate (2022 to 2023)	1.19x

Regional Insights

Countries	Market Share (2022)
United States	14.1%
Germany	8.9%
Japan	5.1%
Australia	3.8%

Countries	Market CAGR (2023 to 2033)
China	23.3%
India	25.4%

The global market for big data in the e-commerce should grow from $2.5 billion in 2018 to $6.2 billion by 2025 at a compound annual growth rate (CAGR) of 13.8% for the period of 2018-2025.

The big data market is an industry that is expected to grow steadily into the future and offer businesses great potential. This source estimates that by 2017 the global big data industry will be worth as much as 43 billion U.S. dollars. Revenue from the professional services segment is expected to climb the highest, to more than 15 billion U.S. dollars by 2017.

Table of Contents

• Healthcare Big Data Analytics Market Scope:

Global Healthcare Big Data Analytics Market is estimated to be valued US$ XX.X million in 2019. The report on Healthcare Big Data Analytics Market provides qualitative as well as quantitative analysis in terms of market dynamics, competition scenarios, opportunity analysis, market growth, etc. for the forecast year up to 2029. The global healthcare big data analytics market is segmented on the basis of type, application, and geography.

Europe market was valued at US$ XX.X million in 2018 and is projected to reach US$ XX.X million in 2029, and register a CAGR of X.X% during the forecast period, according to a new Market.us (Prudour Research) study. Read More

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Streaming Analytics Market Size 2024-2028

The streaming analytics market size is forecast to increase by USD 39.7 at a CAGR of 34.63% between 2023 and 2028.

The market is experiencing significant growth due to the increasing need to improve business efficiency in various industries. The integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies is a key trend driving market growth. These technologies enable real-time data processing and analysis, leading to faster decision-making and improved operational performance. However, the integration of streaming analytics solutions with legacy systems poses a challenge. IoT platforms play a crucial role In the market, as IoT-driven devices generate vast amounts of data that require real-time analysis. Predictive analytics is another area of focus, as it allows businesses to anticipate future trends and customer behavior, leading to proactive decision-making.Overall, the market is expected to continue growing, driven by the need for real-time data processing and analysis in various sectors.

What will be the Size of the Streaming Analytics Market During the Forecast Period?

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The market is experiencing significant growth due to the increasing demand for real-time insights from big data generated by emerging technologies such as IoT and API-driven applications. This market is driven by the strategic shift towards digitization and cloud solutions among large enterprises and small to medium-sized businesses (SMEs) across various industries, including retail. Legacy systems are being replaced with modern streaming analytics platforms to enhance data connectivity and improve production and demand response. The financial impact of real-time analytics is substantial, with applications in fraud detection, predictive maintenance, and operational efficiency. The integration of artificial intelligence (AI) and machine learning algorithms further enhances the market's potential, enabling businesses to gain valuable insights from their data streams.Overall, the market is poised for continued expansion as more organizations recognize the value of real-time data processing and analysis.

How is this Streaming Analytics Industry segmented and which is the largest segment?

The streaming analytics 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. DeploymentCloudOn premisesTypeSoftwareServicesGeographyNorth AmericaCanadaUSAPACChinaJapanEuropeUKMiddle East and AfricaSouth America

By Deployment Insights

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

Cloud-deployed streaming analytics solutions enable businesses to analyze data in real time using remote computing resources, such as the cloud. This deployment model streamlines business intelligence processes by collecting, integrating, and presenting derived insights instantaneously, enhancing decision-making efficiency. The cloud segment's growth is driven by benefits like quick deployment, flexibility, scalability, and real-time data visibility. Service providers offer these capabilities with flexible payment structures, including pay-as-you-go. Advanced solutions integrate AI, API, and event-streaming analytics capabilities, ensuring compliance with regulations, optimizing business processes, and providing valuable data accessibility. Cloud adoption in various sectors, including finance, healthcare, retail, and telecom, is increasing due to the need for real-time predictive modeling and fraud detection.SMEs and startups also benefit from these solutions due to their ease of use and cost-effectiveness. In conclusion, cloud-based streaming analytics solutions offer significant advantages, making them an essential tool for organizations seeking to digitize and modernize their IT infrastructure.

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The Cloud segment was valued at USD 4.40 in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 34% 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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In North America, the region's early adoption of advanced technology and high data generation make it a significant market for streaming analytics. The vast amounts of data produced in this tech-mature region necessitate intelligent analysis to uncover valuable relationships and insights. Advanced software solutions, including AI, virtualiza

The global oil and gas analytics market is anticipated to expand at a CAGR of 18% during the forecast period, 2020 – 2026.



The oil and gas industry includes the global processes of exploration, extraction, refining, and transporting and marketing of petroleum products. The oil and gas industries are dominated by a few large firms therefore it is set as operating in an oligopoly market.
The global oil demand is on an exponential rise due to rapid globalization and industrial growth. Big data and analytics are assisting companies in analysing large quantities of structured and unstructured data from different sources and creating real-time insights. The oil companies face organizational data challenges like poor data quality, data integration, data irrelevancies, data ownership and limited visibility. The new-age big data analytics solutions have overcome the fragmented framework into unified data architecture to address the organizational data challenges.

Market Trends, Drivers, Restraints, and Opportunities:

• Adaptation of digital technologies to enhance their productivity and reduce costs are some of the key trends driving the growth of the oil and gas analytics market and thus fueling the growth of the market.
• Increase in demand from refineries for petroleum products is expected to drive the oil and gas analytics market during the forecast period.
• Implementation of strict operational safety norms by the government is expected to boost market growth.
• Various factors like cheap sensors, widening connectivity and computing power are boosting the data collection by Oil and Gas companies. This, in turn, is driving the growth of the market.
• Rising global demand for fuel, increasing competition, financial capital and public scrutiny and regulations are the market challenges.
• Energy-intensive operations and environmental impact of carbon emission, is a key restraint of the market.
• Implementation of cloud-based, and integration analytics services to find real-time information, is a key market opportunity for the industry.

Scope of the Report

The report on the global oil and gas analytics market includes an assessment of the market, trends, segments, and regional markets. Overview and dynamics have also been included in the report.

Attributes	Details
Base Year	2019
Historic Data	2018–2019
Forecast Period	2020–2026
Regional Scope	Asia Pacific, Europe, North America, Middle East & Africa, and Latin America
Report Coverage	Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, and Trends, and Revenue Forecast

Big Data as a Service Market 2028 by Size, Share, Trends, Growth and Forecast, By Solution Type, By Deployment Model, By Organization Size (Small & Medium Enterprises and Large Enterprises), and By Industry Vertical (BFSI, Retail and E-Commerce, IT & Telecom, Healthcare, Government, Manufacturing, and Others), and By Region and Competition

Pages	110
Market Size
Forecast Market Size
CAGR
Fastest Growing Segment
Largest Market
Key Players

Table of Contents

• Global Big Data Spending in Healthcare Market

Global Big Data Spending in Healthcare Market is estimated to be valued US$ XX.X million in 2019. The report on Big Data Spending in Healthcare Market provides qualitative as well as quantitative analysis in terms of market dynamics, competition scenarios, opportunity analysis, market growth, etc. for the forecast year up to 2029. The global big data spending in healthcare market is segmented on the basis of type, application, and geography.

Europe market was valued at US$ XX.X million in 2018 and is projected to reach US$ XX.X million in 2029, and register a CAGR of X.X% during the forecast period, according to a new Market.us (Prudour Research) study. Read More