Press Release

Data Broker Market to Grow with a CAGR of 4.89% Globally through to 2028

Global Data Broker Market is rising due Growing Need for Data-Driven Decision-Making in the forecast period 2024-2028. 

 

According to TechSci Research report, “Global Data Broker Market - Industry Size, Share, Trends, Competition Forecast & Opportunities, 2028”, Global Data Broker Market has valued at USD 254.67 Billion in 2022 and is anticipated to project robust growth in the forecast period with a CAGR of 4.89% through 2028. The Global Data Broker Market is currently experiencing a substantial surge in growth, driven by the expanding role of artificial intelligence (AI) technologies in reshaping and optimizing supply chain operations across diverse industries. AI has become an invaluable asset for organizations striving to enhance efficiency, reduce costs, and gain a competitive edge in today's rapidly evolving global marketplace. This exploration delves into how AI is instigating significant transformations across the supply chain industry, equipping organizations to thrive in an era where data-driven insights and automation reign supreme.

 

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 The Global Data Broker Market is currently undergoing significant transformations driven by the growing demand for robust cybersecurity solutions in an increasingly digital and cloud-centric world. Data Broker solutions are gaining recognition for their ability to safeguard critical workloads and data in cloud environments, and they are playing a pivotal role in reshaping cybersecurity strategies and fortifying organizations against evolving cyber threats.

In today's digital age, as organizations migrate their operations to the cloud, the need for comprehensive protection against a myriad of cyber threats becomes increasingly critical. Data Broker solutions are at the forefront of this cybersecurity paradigm shift, offering a multifaceted defense strategy. They provide real-time threat detection, vulnerability assessment, and automated responses to security incidents, thereby enhancing the resilience of cloud-based assets.

One of the primary drivers behind the adoption of Data Broker solutions is the growing complexity of the threat landscape. Cyber adversaries are continually devising new tactics and techniques to exploit vulnerabilities in cloud environments. These include highly sophisticated malware, ransomware attacks, and data breaches, all of which have the potential to disrupt operations and compromise sensitive data. Data Broker solutions harness advanced threat intelligence, machine learning, and behavioral analytics to swiftly identify and mitigate these emerging threats, ensuring the security and continuous availability of cloud workloads.

Moreover, the rise of cloud-native technologies, such as containers and serverless computing, is reshaping the cybersecurity landscape. While these technologies offer unparalleled agility and scalability, they simultaneously introduce unique security challenges. Data Broker solutions are evolving to address these challenges, providing specialized security measures tailored to containers and serverless applications. These encompass features such as real-time vulnerability scanning, runtime protection, and robust API security, all designed to safeguard these cloud-native assets effectively.

Regulatory compliance and data privacy regulations are also driving the adoption of Data Broker solutions. Organizations must adhere to strict compliance requirements to protect sensitive data and maintain customer trust. Data Broker solutions assist in achieving compliance by meticulously monitoring and enforcing security policies, encrypting data, and generating comprehensive audit trails for compliance reporting.

The global shift toward remote and distributed workforces has further accentuated the exigency of cloud security. With employees accessing cloud resources from diverse locations and a variety of devices, the imperative of securing cloud workloads has ascended to the zenith of organizational priorities. In this context, Data Broker solutions bestow organizations with the capability to extend security measures seamlessly to remote users and devices, thereby ensuring unwavering protection regardless of the user's location.

In conclusion, the Global Data Broker Market is presently in the throes of a profound transformation, propelled by the imperative of cybersecurity in a digital and cloud-centric world. These solutions stand resolutely at the vanguard of safeguarding cloud-based workloads, applications, and data, guaranteeing their secure and uninterrupted operation. As cloud technology continues to advance, the incontrovertible significance of Data Broker in shaping the future of cybersecurity is poised to foster innovation, resilience, and unwavering confidence in an ever-evolving digital landscape.

The Subscription Paid pricing model is the dominating segment in the Global Data Broker Market.

In the subscription paid pricing model, customers pay a recurring fee to access the data broker's data and services. This pricing model is popular with businesses that need regular access to data, such as marketing agencies, credit bureaus, and financial institutions.

The pay per use paid pricing model is a pricing model in which customers pay a fee for each use of the data broker's data and services. This pricing model is popular with businesses that need occasional access to data, such as small businesses and startups.

The hybrid paid pricing model is a combination of the subscription paid and pay per use paid pricing models. In the hybrid paid pricing model, customers pay a subscription fee for access to a basic set of data and services, and they pay additional fees for access to premium data and services. This pricing model is popular with businesses that need both regular and occasional access to data.

The growth of the subscription paid pricing model in the data broker market is being driven by a number of factors, including:

The need for businesses to have regular access to data in order to make informed decisions.

The convenience and affordability of subscription-based services.

The growing availability of subscription-based data broker services.

The pay per use paid pricing model and the hybrid paid pricing models are also expected to grow in the coming years, but at a slower rate than the subscription paid pricing model. This is because businesses are increasingly recognizing the importance of having regular access to data, and they are willing to pay a subscription fee to access data on a regular basis. 

 

Major companies operating in Global Data Broker Market are:

  • Experian plc
  • Equifax Inc.
  • TransUnion LLC
  • CoreLogic, Inc.
  • DUN & BRADSTREET
  • Acxiom LLC
  • EPSILON DATA MANAGEMENT, LLC
  • Equifax Workforce Solutions, Inc.
  • LexisNexis Risk Data Management Inc.
  • Thomson Reuters Corporation

 

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“The Global Data Broker Market is currently experiencing remarkable growth, primarily fueled by the surging demand for robust cybersecurity solutions in an increasingly digital and cloud-centric world. Data Broker solutions have garnered widespread recognition for their ability to safeguard critical workloads and data in cloud environments, establishing themselves as pivotal players in the reformation of cybersecurity strategies and the fortification of organizations against ever-evolving cyber threats.

In the contemporary digital age, as organizations embark on the migration of their operations to the cloud, the necessity for comprehensive protection against a plethora of cyber threats has become profoundly critical. In this scenario, Data Broker solutions emerge as a cornerstone of modern cybersecurity, presenting a multi-faceted defense strategy. These solutions deliver real-time threat detection, conduct vulnerability assessments, and orchestrate automated responses to security incidents, thereby significantly enhancing the resilience of cloud-based assets.

The primary catalyst driving the widespread adoption of Data Broker solutions is the escalating complexity of the contemporary threat landscape. Cyber adversaries consistently devise innovative tactics and techniques to exploit vulnerabilities inherent in cloud environments. These include the deployment of highly sophisticated malware, ransomware attacks, and data breaches, all of which have the potential to disrupt operations and compromise sensitive data. Data Broker solutions counter these emerging threats with advanced threat intelligence, machine learning algorithms, and behavioral analytics, thereby ensuring the security and uninterrupted availability of cloud workloads.

Moreover, the ascent of cloud-native technologies, such as containers and serverless computing, is fundamentally reshaping the cybersecurity landscape. While these technologies deliver unparalleled agility and scalability, they concurrently introduce distinctive security challenges. Data Broker solutions are swiftly evolving to tackle these challenges head-on by furnishing specialized security measures meticulously tailored to containers and serverless applications. Notable features encompass vulnerability scanning, real-time runtime protection, and robust API security mechanisms, all devised to fortify the security posture of these cloud-native assets.

In addition to combating emerging threats and adapting to evolving technologies, Data Broker solutions are also instrumental in aiding organizations in achieving compliance with regulatory frameworks and data privacy regulations. In the contemporary landscape, organizations are mandated to adhere to stringent compliance requirements to safeguard sensitive data and uphold the trust of their customers. Data Broker solutions, in this regard, facilitate compliance endeavors by vigilantly monitoring and enforcing security policies, encrypting data to preserve its integrity, and generating comprehensive audit trails, which serve as the bedrock for compliance reporting.

Furthermore, the global paradigm shift toward remote and distributed workforces has significantly accentuated the necessity for robust cloud security. With employees accessing cloud resources from diverse geographic locations and an array of devices, securing cloud workloads has emerged as a paramount organizational priority. Data Broker solutions effectively empower organizations to extend their security measures to encompass remote users and devices, thereby ensuring consistent and unwavering protection, irrespective of the user's physical location.

In summary, the Global Data Broker Market is currently undergoing a profound transformation, propelled by the exigency of cybersecurity in a world increasingly defined by digitization and cloud-centricity. Data Broker solutions are positioned at the vanguard of safeguarding cloud-based workloads, applications, and data, assuring their security and continuous operation. As cloud technology continues its relentless advancement, the pivotal role of Data Broker solutions in shaping the future of cybersecurity remains incontrovertible, fostering innovation, resilience, and confidence in an ever-evolving digital landscape.” said Mr. Karan Chechi, Research Director with TechSci Research, a research-based management consulting firm.

Data Broker Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented , By Data Type (Unstructured Data, Structured Data and Custom Structure Data), By Pricing Model (Subscription Paid, Pay Per Use Paid, Hybrid Paid Models), By End Use Sector (BFSI, Retail And FMCG, Manufacturing, Media, Government Sector, Others Sector), By Region, By Competition”, has evaluated the future growth potential of Global Data Broker Market and provides statistics & information on market size, structure and future market growth. The report intends to provide cutting-edge market intelligence and help decision makers take sound investment decisions. Besides, the report also identifies and analyzes the emerging trends along with essential drivers, challenges, and opportunities in Global Data Broker Market.

 

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