In this data-driven digital era, the banking sector is harnessing the transformative powers of Big Data. The far-reaching implications of Big Data in banking are pioneering a revolution, aiding in smarter decision-making, risk management, and enhanced customer experiences. This blog post unfolds the spellbinding statistics of Big Data in banking, dimensioning its influence and painting a clearer picture of how it’s shaping the future of banking. From fraud detection to personalized banking services, the integration of Big Data is becoming an undeniable game-changer in this domain. Read on as we delve deeper into this fascinating journey of numbers and insights.

The Latest Big Data In Banking Statistics Unveiled

By 2025, the data analytics market in banking is expected to surge to $5.4 billion.

Projecting into the world of banking, this forecasted growth of the data analytics market to $5.4 billion by 2025 underscores the evolving role of big data in shaping the financial industry. In the granular matrix of Big Data, the banking sector finds not just patterns but actionable insights, transforming abstract numbers into concrete strategies. When looked through the lens of this statistic, we can understand the increased investment in data analytics and the profound impact it might have on the banking processes, risk management, customer experience and overall profitability. This anticipated surge also illuminates the immense potential for tech-related positions in banking, blooming career paths, and the rise of data-driven decision making in this sector. So, gazing at this looming $5.4 billion landscape, we’re not just seeing a statistic, but a promise of an unprecedented era of innovation and growth in banking.

45% of banks and insurers apply big data for fraud detection.

Dipping into the ocean of big data can unveil hidden treasure chests — or in the case of banks and insurers, potential areas of fraud. Just ponder for a moment – nearly half of these institutions leverage big data to sniff out suspicious activities. This underlines a transformative shift in how the industry is proactively combating fraud. It paints a candid picture of how important big data has become, serving as a sophisticated radar system in detecting anomalous patterns that humans may overlook. This move towards a data-centric approach in fraud detection, illustrated by the 45% statistic, serves as a trailing compass showing us the future of banking and insurance, making our financial world much more secure.

Approximately 30% of banks are at the planning stage of big data investment.

Diving into the realm of banking, where progress and success are closely entwined with the effective use and interpretation of data, it’s captivating to observe that ‘approximately 30% of banks are still at the planning stage of big data investment.’ This stat creates an unspoken narrative of a fascinating paradigm shift occurring right before our eyes. The banking industry, commonly considered as traditionally static, is making a gradual but profound transition towards becoming data-driven.

In a world submerged with numerous data pools, incorporating big data signifies a radical reinterpretation and remodeling of their business strategies – a testament to the magnifying importance of data in decision-making processes. Embarking on this journey, 30% of banks are lined up, ready to dip their toes into the colossal ocean of big data, an indication that the industry’s approach to data application and utilization is evolving.

For anyone penning a blog post about Big Data in Banking Statistics, this nugget serves as a barometer to measure the drift toward data-dominance in the banking arena, offering an opportunity to elaborate on the transformative potential that data holds for these banking institutions. Hence, this statistic serves not just as a mere fraction, but a pivotal point to elucidate the dawn of a robust data-driven era within the banking industry.

50% of banking and financial services industry will make more use of big data by 2025.

Unveiling the tremendous potential of big data in transforming the banking and financial services landscape, this statistic forecasts an influential shift in industry trends. Serving as a key highlight in the blog post, this stat reflects how big data is anticipated to become an integral part of half the industry by 2025, revolutionizing operations and decision-making processes. A significant milestone in banking’s digital evolution, this impending transition sets the stage for intriguing discussions about the future trajectory of the industry and provides a foundation for understanding how data can be leveraged to drive strategic gains in banking and finance.

About 2.5 quintillion bytes of data are created by humans every day, a significant proportion of which is from banking transactions.

In the broader expanse of the digital landscape, where the worth of information is tantamount to a gold mine, the statement that humans produce roughly 2.5 quintillion bytes of data each day is truly momentous. Draw special attention to the considerable slice of this vast data pie that is baked by banking transactions. It’s akin to a financial atlas, charting the course of monetary operations worldwide. This underscores the significance of big data in the banking universe. It’s not just about enormous numbers; these figures are the heartbeat of modern banking. They serve as the fuel that drives decisions, shapes strategies, and ultimately determines success in this fiercely competitive industry. In essence, banking is no longer just about money—it’s a data game where every byte counts.

48% of banking and financial industry firms report that big data and analytics have significantly impacted business practices.

Delving into the realm of big data, one must take note of a telling statistic where a considerable 48% of banking and financial industry enterprises acknowledge the significant influence of big data and analytics on their business operations. This impactful figure reaffirms the power wielded by these high-tech tools in not just shaping, but revolutionizing the entire banking sector.

Peeling back the layers of this statistic, we uncover the extent to which data-driven decisions have permeated the otherwise conventional banking sphere. Think less manual data entry, more data-driven insights; less guesswork and more precision. This digitized transformation of the industry further propels the preferences and profitability of businesses, painting a picture of a future where data is no longer just an information asset, but a critical success-driving factor.

A substantial 48% of firms feeling the impact of big data and analytics, qualifies the undeniable importance and escalating role of modern technology in the financial sector’s strategic fabric. Amidst the sea of banking statistics, this number stands as a beacon that illuminates the growing necessity for firms to adopt these transformative tools, gliding into a future which is as promising as it is data-driven. The underlying influence of big data and analytics has clearly made its mark, asserting its mighty stand in the unfolding narrative of big data in the banking industry.

40% of leading banks are implementing big data for customer segmentation to tailor the offered services.

In the scintillating realm of banking, unveiling the statistic that “40% of leading banks are implementing big data for customer segmentation to tailor the offered services” infuses a new dimension of understanding. This notably demonstrates what a transformational tool big data has become in the finance sector. The figure palpably showcases a growing trend among leading banks to utilize the vast potential of big data in recognizing unique customer patterns, preferences and behaviors. In essence, it serves as a testament to the rise in savviness of these financial institutions in nurturing a more personalized connection with their customers to offer enhanced services. In the context of a blog post about Big Data in Banking Statistics, it adds a compelling thrust, prompting a lively discussion on how the banking industry’s future will be increasingly interwoven with the strands of big data.

In 2020, nearly 70% of financial services companies incorporated big data to enhance cybersecurity.

Highlighting this statistic lends gravity to the transformational impact that Big Data is creating in the realm of banking and finance. It confirms the evolving trends, where a whopping 70% of financial institutions began armoring themselves with Big Data-analytics firepower to bolster their cybersecurity mechanisms in 2020 alone. This serves as an empirical testament to the paradigm shift in the industry’s approaches, where they’re diverting from traditional methods and endorsing more data-driven strategies. More than just a number, this is the dawn of a techno-centric era, where Big Data analytics plays the dual role of a cache of intelligence and a robust sentinel, fortifying banking operations against cyber threats.

Roughly 67% of data in banking go unused for analytics due to various reasons such as security concerns.

In unveiling the mysticism of big data in banking, the gargantuan statistic that asserts approximately 67% of data goes unused for analytics, largely driven by security concerns, presents a compelling paradox. On one hand, we live in an era where data is the new oil, furnishing us with unparalleled insights in customer behavior, risk mitigation, and driving innovative product development. On the other hand, more than half of this data vault remains locked and unused, illustrating an estrangement with potent knowledge source.

This brings us to the crux of our discourse – not just the utilization of big data, but its efficient and secure exploitation that brings along profound implications for the banking sector. Addressing bottlenecks such as security fears could potentially unlock a treasure-trove of dormant insights, propelling the banking sector into untraversed territories of growth, customer satisfaction, and risk management. Thus, understanding this untapped reserve and finding ways to securely harness it, will undoubtedly remain a key focus in our exploration of big data in banking.

AI and big data could increase global GDP by up to 14% between now and 2030, as a result of increased productivity, partly from optimized operations in banking.

Unveiling the potential grandeur of AI and big data, the projection for a 14% rise in global GDP by 2030 indeed adds a fresh dimension to the discourse on Big Data in Banking Statistics. Inextricably linked with the banking sector’s functioning, this impressive uptick originates in part from optimized operations, an aspect synonymous with banking efficiency.

By shifting the spotlight onto the priceless benefits of productivity increase, this statistic amplifies the magnitude and scale of impact big data can have on the banking landscape, thereby revolutionizing its traditional practices. Thus, it makes a compelling argument for banks to increasingly invest in, embrace, and capitalize on AI and Big Data technologies, thereby shaping a future where banking practices are punctuated with unparalleled efficiency and innovation.

By 2022, 90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competence – this includes the banking sector.

The gravity of the statistic hinges on the proliferation of the digital age, underscoring the undeniable ascendency of information and analytics in shaping the contours of corporate strategies, including those within the banking sector. By 2022, a staggering 90% of these strategies will highlight information as a vital enterprise asset and analytics as a pivotal competence, reflecting the bank’s growing reliance on big data.

This high percentage serves as a compelling pointer towards a future where data-driven insights are the navigator in steering corporate decisions and operations. The banking industry, a cornerstone of the economy, would be remiss if it didn’t seize the opportunities embedded in big data. The statistic opens a window into the evolving dynamics of how the banking sector uses and values information, data analytics, and digital technologies, all of which are central threads in the unfolding narrative of big data in banking.

Hence, a blog post exploring this would illuminate the profound impacts of big data in streamlining services, predicting market trends, personalizing customer experiences, managing risks, and driving profitability in the banking arena. It serves as an affirmation that big data is not simply a passing trend but a transformative force that is carving out the future of banking.

By 2025, the volume of data will grow from 33 zettabytes in 2018 to 175 zettabytes, with banking being a significant contributor.

This riveting statistic ushers in a revelation about the escalating importance of big data in the banking sector. Residing on the precipice of a data deluge, the banking industry is expected to be a leading contributor to a remarkable jump from 33 zettabytes in 2018 to a staggering 175 zettabytes by 2025. This anticipated data boom illuminates the scintillating potential of big data in reshaping banking systems, unraveling new patterns, enabling more informed decision making, and designing personalized customer solutions. It simultaneously thrusts forth the challenges tied to effective data management, thus underpinning the need for advanced analytical tools and strategies to harness this data explosion optimally. Therefore, these figures imbue a sense of urgency and importance in understanding, adapting, and innovating Big Data in the realm of banking.


In essence, big data has undoubtedly revolutionized the banking sector. It has become an indispensable tool, transforming the way banks operate, make decisions, and interact with their customers. With the increasing digitization of financial services, the utilization of big data in banking will continue to soar. As we’ve seen in the various statistics highlighted, banks all over the world are integrating big data analytics into their operations, igniting a surge of efficiency, customer satisfaction, and profitability. Thus, embracing big data is no longer just an option for banks, it is a necessity in the fast-evolving digital world. Banks, and indeed all financial institutions, must therefore position themselves to harness the full potential of big data to remain competitive in this dynamic industry.


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