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Big Data Analytics in Banking Market Surges to USD 745.16 Billion by 2030, Propelled by 13.5% CAGR – Verified Market Reports®

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The Big Data Analytics in Banking market is driven by the increasing demand for personalized customer experiences and risk management. Challenges include data security, regulatory compliance, and integration with legacy systems. Growing digital transformation and the need for real-time insights fuel market expansion, while the complexity of data management and talent shortages pose significant obstacles.
LEWES, Del., Aug. 12, 2024 /PRNewswire/ — The Global Big Data Analytics in Banking Market is projected to grow at a CAGR of 13.5% from 2024 to 2030, according to a new report published by Verified Market Reports®. The report reveals that the market was valued at USD 307.52 Billion in 2023 and is expected to reach USD 745.16 Billion by the end of the forecast period.

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Browse in-depth TOC on Big Data Analytics in Banking Market
202 – Pages126 – Tables37 – Figures
Scope Of The Report
ATTRIBUTES
DETAILS
STUDY PERIOD
2021-2030
BASE YEAR
2023
FORECAST PERIOD
2024-2030
HISTORICAL PERIOD
2021-2022
UNIT
VALUE (USD BILLION)
KEY COMPANIES PROFILED
IBM, Oracle, SAP SE, Microsoft, HP, Amazon AWS, Google, Hitachi Data Systems, Tableau, New Relic, Alation
SEGMENTS COVERED
By TypeBy ApplicationBy Geography
Big Data Analytics in Banking Market Overview
Big Data Analytics has revolutionized the banking sector by enabling institutions to process vast amounts of data in real-time, providing valuable insights that drive decision-making.
The integration of Big Data technologies in banking has shifted the industry from traditional methods to data-driven strategies, improving everything from customer experience to risk management.
Banks collect and analyze data from various sources, including transactions, social media, and customer feedback, to gain a comprehensive understanding of market trends and customer behaviors. This shift has allowed for more personalized services and better predictive modeling, which are essential in today’s competitive financial landscape.
Market Drivers and Growth Factors
The rapid growth of digital banking and the increasing volume of unstructured data are key drivers of the Big Data Analytics market in banking. Customers now demand seamless digital experiences, pushing banks to adopt advanced analytics tools to meet these expectations.
Furthermore, the rise in cyber threats and the need for robust security measures have made Big Data Analytics indispensable for fraud detection and compliance. The ability to analyze large datasets helps banks to identify patterns that can predict fraudulent activities, thus protecting both the institution and its customers.
Additionally, regulatory requirements demand more sophisticated data management and reporting, further fueling the adoption of Big Data Analytics in the banking sector.
Key Technologies and Tools
The backbone of Big Data Analytics in banking is formed by various technologies and tools, such as Hadoop, Apache Spark, and machine learning algorithms. These technologies allow banks to process and analyze large volumes of data efficiently.
Hadoop provides a distributed storage system that enables banks to manage big datasets across different nodes, while Apache Spark enhances the speed of data processing.
Machine learning, on the other hand, plays a crucial role in predictive analytics, helping banks forecast market trends and customer needs. The integration of these technologies not only improves data processing capabilities but also supports real-time analytics, which is critical in a fast-paced banking environment.
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Applications in Customer Relationship Management
Big Data Analytics has significantly enhanced Customer Relationship Management (CRM) in banking. By analyzing customer data, banks can offer personalized services that meet the unique needs of each client. This includes tailored product offerings, personalized marketing campaigns, and better customer support.
Big Data allows banks to segment their customers based on various factors such as spending habits, preferences, and financial goals. This segmentation helps in creating targeted strategies that improve customer satisfaction and loyalty.
Moreover, sentiment analysis through social media data enables banks to gauge customer opinions and respond proactively to concerns, thereby enhancing the overall customer experience.
Challenges and Risks
Despite its benefits, the implementation of Big Data Analytics in banking comes with several challenges. Data privacy and security are major concerns, as banks deal with sensitive customer information that must be protected from breaches. The complexity of Big Data tools also requires significant investment in technology and skilled personnel, which can be a barrier for smaller institutions.
Additionally, there is the challenge of integrating Big Data Analytics with existing systems, which may not be designed to handle such large volumes of data. Banks must also navigate the regulatory landscape, ensuring that their data practices comply with laws such as GDPR, which adds another layer of complexity to Big Data initiatives.
Future Trends and Opportunities
The future of Big Data Analytics in banking is promising, with advancements in artificial intelligence (AI) and machine learning set to further enhance the capabilities of banks. AI-driven analytics will enable more accurate predictive models, allowing banks to anticipate market changes and customer needs with greater precision. The use of blockchain technology for secure data sharing is another emerging trend that could revolutionize data management in the banking sector.
Additionally, the continued growth of mobile banking will generate even more data, providing banks with richer datasets to analyze. As these technologies evolve, banks that effectively leverage Big Data Analytics will be well-positioned to gain a competitive edge in the market.
Big Data Analytics in Banking Market Key Players Shaping the Future
Major players, including IBM, Oracle, SAP SE, Microsoft, HP, Amazon AWS, Google, Hitachi Data Systems, Tableau, New Relic. and more, play a pivotal role in shaping the future of the Big Data Analytics in Banking Market. Financial statements, product benchmarking, and SWOT analysis provide valuable insights into the industry’s key players.
Big Data Analytics in Banking Market Segment Analysis
Based on the research, Verified Market Reports® has segmented the global Big Data Analytics in Banking Market into Type, Application and Geography.
To get market data, market insights, and a comprehensive analysis of the Global Big Data Analytics in Banking Market, please Contact Verified Market Reports®.
Big Data Analytics in Banking Market, by TypeOn-PremiseCloudBig Data Analytics in Banking Market, by ApplicationFeedback ManagementCustomer AnalyticsSocial Media AnalyticsFraud Detection and ManagementBig Data Analytics in Banking Market, by GeographyNorth AmericaU.SCanadaMexicoEuropeGermanyFranceU.KRest of EuropeAsia PacificChinaJapanIndiaRest of Asia PacificROWMiddle East & AfricaLatin AmericaBrowse Related Reports:
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Top Hadoop Big Data Analytics Trends consolidating ‘new age’ technologies
About Us
Verified Market Reports® stands at the forefront as a global leader in Research and Consulting, offering unparalleled analytical research solutions that empower organizations with the insights needed for critical business decisions. Celebrating 10+ years of service, Verified Market Reports has been instrumental in providing founders and companies with precise, up-to-date research data.
With a team of 500+ Analysts and subject matter experts, Verified Market Reports leverages internationally recognized research methodologies for data collection and analyses, covering over 15,000 high impact and niche markets. This robust team ensures data integrity and offers insights that are both informative and actionable, tailored to the strategic needs of businesses across various industries.
Verified Market Reports’ domain expertise is recognized across 14 key industries, including Semiconductor & Electronics, Healthcare & Pharmaceuticals, Energy, Technology, Automobiles, Defense, Mining, Manufacturing, Retail, and Agriculture & Food. In-depth market analysis cover over 52 countries, with advanced data collection methods and sophisticated research techniques being utilized. This approach allows for actionable insights to be furnished by seasoned analysts, equipping clients with the essential knowledge necessary for critical revenue decisions across these varied and vital industries.
Verified Market Reports® is also a member of ESOMAR, an organization renowned for setting the benchmark in ethical and professional standards in market research. This affiliation highlights Verified Market Reports’ dedication to conducting research with integrity and reliability, ensuring that the insights offered are not only valuable but also ethically sourced and respected worldwide.
Contact UsMr. Edwyne FernandesVerified Market Reports®US: +1 (650)-781-4080US Toll Free: +1 (800)-782-1768Email: [email protected] Web: https://www.verifiedmarketreports.com/Follow Us: LinkedIn | Twitter
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Flat Ads Makes Its Mark at DMEXCO 2024: Showcasing Strength in Programmatic Advertising

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COLOGNE, Germany, Sept. 20, 2024 /PRNewswire/ — In September, Flat Ads makes its mark at DMEXCO 2024, the prestigious European event of digital marketing and technology. The highly successful exhibition boasts 650 exhibitors, 850 speakers, and thousands of participants. At the event, Flat Ads showcased the strength of programmatic advertising platform in ad delivery, traffic optimization, and brand safety.

Flat Ads programmatic advertising platform has an exclusive developer traffic of 700 million and an extensive network spanning over 200 countries and regions worldwide. It cooperates with over 200 leading DSP/SSP partners, including FreeWheel, PubMatic and Criteo, leveraging an efficient and complete bidding system, as well as automatic delivery algorithms, to achieve precise marketing and advertising effectiveness maximization.
With its exclusive platform strategy algorithm, Flat Ads programmatic advertising platform can continuously conduct automatic exploration and matching based on the characteristics of DSP and traffic, optimize and adjust the algorithm model in real-time. This not only ensures the sustainability of DSP budgets, but also maximizes traffic utilization and enhances monetization revenue of advertisements.
Moreover, brand protection is among the top priorities of Flat Ads. In addition to accessing to authority agency Pixalate to test the effectiveness of ads, it has also accessed HUMAN, the global cybersecurity authority to safeguard its clients by preventing bot attacks, digital fraud and abuse, ensuring a stable, reliable, and secure programmatic advertising transaction platform.
By participating in DMEXCO 2024, Flat Ads showcased its outstanding strength and fruitful achievements in the programmatic advertising field, attracting the attention of numerous advertisers and developers for cooperation. Flat Ads boasts not only robust technical capabilities and innovative prowess, but also an active and open attitude towards emerging technologies, embracing and exploring them. It remains committed to providing more professional and efficient global marketing services to advertisers and developers worldwide, helping clients stand out in the fiercely competitive market and achieve business growth.
As a globally leading mobile advertising marketing platform, Flat Ads currently operates offices in Singapore, Indonesia, Hong Kong, and Guangzhou, serving over 1000 clients with global marketing solutions. If you’re interested in Flat Ads’ programmatic advertising services, please visit www.flat-ads.com.

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Artificial Intelligence

Fraud Detection & Prevention Market to Reach $252.7 Billion, Globally, by 2032 at 24.3% CAGR: Allied Market Research

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The introduction of big data analytics, cloud computing services, and an upsurge in mobile payment drive the growth of the market.
PORTLAND, Ore., Sept. 20, 2024 /PRNewswire/ — Allied Market Research published a report, titled, “Fraud Detection & Prevention Market by Component (Solution and Service), Deployment Mode (On-Premises and Cloud), Organization Size (Large Enterprises and Small and Medium-sized Enterprises) and Industry Vertical (BFSI, IT and Telecom, Retail, Healthcare, Government and Defense, Manufacturing, Transportation and Logistics and Others): Global Opportunity Analysis and Industry Forecast, 2023-2032”. According to the report, the “fraud detection & prevention market” was valued at $29.5 billion in 2022, and is projected to reach $252.7 billion by 2032, growing at a CAGR of 24.3% from 2023 to 2032.

The introduction of big data analytics, cloud computing services, and an upsurge in mobile payment drive the growth of the market. In addition, the rise in the adoption of banking & financial sectors across the globe fuels the growth of the market. Moreover, continuous technological advancements are expected to provide lucrative opportunities for the growth of the market during the forecast period. On the contrary, the high cost of fraud detection and prevention solutions limits the growth of the fraud detection & prevention market.
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The solution segment held the highest market share in 2022. 
By component, the solution segment dominated the market in 2022, this dominance is driven by the increasing demand for advanced technological solutions that can effectively detect, monitor, and prevent fraudulent activities across various industries such as banking, e-commerce, and insurance. Solutions like AI-based fraud detection, machine learning algorithms, and behavioral analytics have become critical tools in identifying potential fraud in real time and reducing financial losses. However, the service segment is expected to witness the largest CAGR of 28.0%, this growth is driven by the increasing need for specialized services such as consulting, implementation, and maintenance to help organizations effectively integrate and optimize fraud detection solutions.
The BFSI segment held the highest market share in 2022.
By industry vertical, the BFSI segment accounted for the largest share in 2022. This is primarily due to the high frequency and sophistication of fraud targeting financial institutions, making fraud detection and prevention solutions a critical need in the BFSI sector. Financial transactions, online banking, and digital payments are particularly vulnerable to cyberattacks, phishing schemes, and identity theft, driving the sector’s substantial investment in advanced fraud detection technologies. However, the retail segment is expected to witness the largest CAGR of 32.7%. This anticipated growth is driven by several factors. Retailers are increasingly targeted by fraudsters due to the high volume of transactions and the sensitivity of customer data involved. As e-commerce and digital transactions expand, the need for advanced fraud detection and prevention solutions becomes more critical.
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Regional Insights: The North America region held the highest market share in 2022. 
By region, the fraud detection & prevention market was dominated by North America in 2022. North America, particularly the U.S., has a highly developed financial and technological infrastructure that supports advanced fraud detection solutions. The region’s significant investments in cybersecurity and fraud prevention technologies, combined with a high incidence of cyber threats, drive continuous innovation and adoption of sophisticated fraud management systems. 
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Key Industry Developments 
In February 2024, the U.S. Department of the Treasury announced that it has recovered over $375 million as a result of its implementation of an enhanced fraud detection process that utilizes Artificial Intelligence (AI) at the beginning of Fiscal Year 2023.In April 2024, Cognizant collaborated with FICO, to launch a cloud-based real-time payment fraud prevention solution powered by FICO Falcon Fraud Manager. The joint offering would leverage both firms’ artificial intelligence (AI) and machine learning (ML) technology to help banks and other payment service providers in North America protect their customers from fraud in the growing world of instant digital payments.In September 2022, Deutsche Bank collaborated with Visa, to help prevent online retail fraud. Merchants who process their e-commerce payments via Deutsche Bank can now use “Decision Manager,” an automated fraud detection system from Visa-owned company Cybersource.AVENUE- A Subscription-Based Library (Premium on-demand, subscription-based pricing model):
AMR introduces its online premium subscription-based library Avenue, designed specifically to offer cost-effective, one-stop solution for enterprises, investors, and universities. With Avenue, subscribers can avail an entire repository of reports on more than 2,000 niche industries and more than 12,000 company profiles. Moreover, users can get an online access to quantitative and qualitative data in PDF and Excel formats along with analyst support, customization, and updated versions of reports.
Get an access to the library of reports at any time from any device and anywhere. For more details, follow the link: https://www.alliedmarketresearch.com/library-access
About Us:
Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Wilmington, Delaware. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports Insights” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
We are in professional corporate relations with various companies, and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Allied Market Research CEO Pawan Kumar is instrumental in inspiring and encouraging everyone associated with the company to maintain high quality of data and help clients in every way possible to achieve success. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.
Contact:David Correa1209 Orange Street,Corporation Trust Center,Wilmington, New Castle,Delaware 19801 USA.Int’l: +1-503-894-6022Toll Free: +1-800-792-5285UK: +44-845-528-1300India (Pune): +91-20-66346060Fax: [email protected] 
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Artificial Intelligence

G42 Collaborates with NVIDIA to Deliver Next-Generation Climate Solutions Using Earth-2

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ABU DHABI, UAE, Sept. 20, 2024 /PRNewswire/ — G42, a leader in AI and cloud computing, today announced that it is partnering with NVIDIA to advance climate technology with a focus on developing AI solutions aimed at dramatically enhancing the accuracy of weather forecasting globally.

The collaboration builds on NVIDIA’s Earth-2, an open platform that accelerates climate and weather predictions with interactive, AI-augmented, high-resolution simulation. G42 and NVIDIA will initially focus on a square-kilometer resolution weather forecasting model that improves the accuracy of meteorological predictions.
Key to this initiative is the establishment of a new operational base and Climate Tech Lab in Abu Dhabi. This state-of-the-art facility will serve as a hub for research and development, driving forward both companies’ commitment to environmental sustainability. This facility will also mobilize the creation of tailored climate and weather solutions that leverage over 100 petabytes of geophysical data assets.
Peng Xiao, Group CEO of G42, said, “This initiative with NVIDIA is a testament to our commitment to applying AI in ways that not only innovate but also solve critical global challenges. Establishing the Earth-2 Climate Tech Lab in Abu Dhabi allows us to leverage our unique capabilities and insights to foster a sustainable future for the world.”
In addition to fostering innovation in climate technology, the initiative will focus on building a robust framework for integrating enhanced weather prediction capabilities with comprehensive data metrics and visualization. This will assist organizations worldwide in achieving their sustainability goals through well-informed, data-driven environmental strategies.
“Our collaboration with G42 marks a pivotal step toward harnessing AI to understand and predict climate phenomena with unprecedented accuracy,” said Jensen Huang, founder and CEO of NVIDIA. “The Earth-2 Climate Tech Lab will propel environmental solutions using the most advanced accelerated computing and AI technology to benefit millions of people around the world.”
By uniting G42’s AI expertise with NVIDIA’s computational acumen, this partnership aims to deliver transformative climate solutions that combine scientific accuracy with real-world applicability, driving impactful change across industries and ecosystems.
About G42
G42 is a technology holding group, a global leader in creating visionary artificial intelligence for a better tomorrow. Born in Abu Dhabi and operating worldwide, G42 champions AI as a powerful force for good across industries. From molecular biology to space exploration and everything in between, G42 realizes exponential possibilities, today. To know more visit www.g42.ai.
Media contactsMedia and PR Team, [email protected]

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