In an era where numbers speak louder than words, big data has become a crucial player in the dynamic world of finance. Every decision, forecast, and strategy now hinges on a nexus of complex figures and algorithms. This blog post aims to shed light on the intriguing world of big data in the finance industry through the magnifying lens of extensive statistics. It will take you on an insightful journey, exploring how big data continues to reshape financial landscapes around the globe, and why understanding these statistics is becoming more crucial for finance professionals, academicians, and enthusiasts alike. Buckle up as we delve into the intricate weave of numbers in finance, and decipher the exciting truths they conceal.

The Latest Big Data In Finance Industry Statistics Unveiled

According to a 2019 study by Accenture, 79% of enterprise executives agree that companies that do not embrace Big Data will lose their competitive position.

Delving into the realms of Big Data, the Accenture study beams a flashlight onto a reality that can’t be ignored. It flings open a captivating statistic – a striking 79% of enterprise executives believe in the indispensable nature of Big Data, warning that those companies not harnessing its power are at risk of slipping off the competitive grid.

In the dynamic landscape of the finance industry, where precision, forecasting, and strategic decision-making are paramount, this statistic is a loud wake-up call. It accentuates the fact that Big Data is no longer a ‘nice to have,’ but a ‘must-have,’ echoing through the corridors of financial institutions across the globe. This statistic propels the conversation, taking it from the realm of theory to a shared consensus among enterprise executives – adapt or lose out. It paints a stark picture: In the fast-paced chess game that is the finance industry, Big Data is your Queen. Without it, your position may be severely compromised.

The statistic doesn’t stop there. It forms a solid backbone for a blog post about Big Data in the finance industry, powerfully illustrating its deep-seated importance, potential implications for non-adoption, and almost unanimously agreed upon relevance.

In conclusion, this statistic doesn’t just matter – it commands attention. It stresses Big Data’s emerging role as a vital player in the finance industry, and in doing so, sets a compelling tone for any insightful discussion or blog post on the topic.

Big data has the potential to generate cost savings up to 20% in the financial industry.

In the context of a blog post purely dedicated to unraveling the realm of Big Data in the finance industry, the statistic about Big Data’s potential to generate cost savings up to 20% shines like a star in a deep, dark night. It’s like the cardinal point on a compass, guiding financial institutions towards unlocking immense cost savings. This illuminating figure demystifies the real, tangible monetary benefits that Big Data brings to the table, casting aside any shadow of doubt about its significant role in economical management. Ultimately, it’s the golden nugget of wisdom that finance professionals need to fine-tune their strategies and lend their organizations a competitive edge in this data-driven age.

In 2022, the global market of big data in the banking industry is forecast to reach $14.83 billion.

Highlighting the forecast that the global market of big data in the banking industry is projected to touch $14.83 billion in 2022 generates a pivotal touchstone for our discussion on Big Data in the Finance Industry. This exponential surge mirrors the recognition, acceptance and implementation of Big Data by stakeholders in the banking industry. Furthermore, it underscores the transformative potential of Big Data in revolutionizing operational efficiency, customer relationship management, risk mitigation and overall profitability within the financial landscape. As such, this prediction is not only a testament to the banking industry’s big data strategies but also signals the potential return on investing resources in this relatively new technology. So, fasten your seatbelts as we delve into an exciting journey through the world of Big Data in Finance Industry and uncover how this technological boon is transforming the next generation of banking services.

The financial industry ranked second with big data technology adoption at 70.1%.

In setting the stage for one of the key movers and shakers in the adoption of big data technology, the financial industry stands proud with a solid 70.1% adoption rate. This impressive figure not only showcases the sector’s willingness to embrace innovative technologies, but also underscores the potential evolutionary journey of the financial ecosystem. Just imagine the transformative possibilities—whether it be risk management, customer segmentation, or fraud detection—all underpinned by big data. This furthers the conversation, painting a vivid picture of how an industry typically perceived as traditional and rigid is making bold strides in harnessing the power of data.

A 2020 report indicated that 90% of global data has been produced in the last two years.

The sheer velocity at which data is created, as evidenced by a staggering 90% of global data being produced in the last two years alone, paints an elaborate canvas for the financial industry to tap into. Thus, big data in finance is not just a fleeting trend, but rapidly becoming an intricate part of the financial world’s DNA.

This data deluge, highlighted by the 2020 report, juices up the financial industry’s ability to derive insightful analytics, make informed decisions, and predict future trends with higher accuracy. Consider the wealth of information uncovered in just a fraction of this data—details about markets, consumer behaviors, trends, risks, and so much more. With big data’s role in finance significantly amplified by this data surge, it moves from being an optional tool to an integral part of success in the ever-evolving and increasingly tech-driven world of finance.

According to Statista, the big data and business analytics revenue worldwide is forecasted to reach $274.3 billion in 2022.

Forecasting a worldwide revenue of $274.3 billion by 2022 for big data and business analytics is an assertion of a revolutionary financial trend seeping into the global commerce sector. This juggernaut prediction by Statista promises a thrilling drive on data superhighway for the finance industry, offering enormous prospects in terms of scalability and growth. Bracing for such revenue booms implies notably lucrative opportunities for businesses to leverage in-depth analysis for decision making and strategic planning. Hence, if you’re dabbling in the finance industry, fasten your seat belts because big data could be your booster rocket propelling you towards heightened profitability.

IBM states that 2.5 quintillion bytes of data are created each day in global industries, including finance.

Undeniably, the colossal figure of 2.5 quintillion bytes of data created each day across global industries introduces us to a world overflowing with information troves. This figure presented by IBM is like a beacon of realization that lights up the escalating value and need for Big Data analysis in an ever-growing information landscape.

In a blog post about Big Data In Finance Industry Statistics, this towering statistic is the heart of the narrative. Imagine the finance industry as a vast ocean where numerous data bytes form massive informational waves each day. This IBM fact emphasizes the sheer volume and frequency of data, reinforcing both the challenges and opportunities in handling and analyzing these vast information resources.

The ability to harness this data tsunami effectively, particularly in the finance sector, has tremendous potential. It can offer unprecedented insights into customer behaviors, risk management, fraud detection, and market trends, to name a few. The statistic ultimately underscores the imperative of leveraging cutting-edge technology and advanced analytics in the finance industry to tame this data beast and extract its valuable gems.

Gartner predicts that by the end of 2024, 75% of enterprises will shift from piloting to operationalizing AI, driving a 5X increase in streaming data and analytics infrastructures.

In peeling back the layers of this prediction, it unravels insightful implications for the finance industry. With Gartner’s forecast of a 75% surge in enterprises transitioning from testing to implementing Artificial Intelligence (AI) by 2024, it indicates a forthcoming gold rush of data. What this means for the finance industry – a sector underpinned by numbers and data – is the impending boom in need and usage of Big Data infrastructure. In banking terms, if AI was the vault, Big Data would be the currency within.

Moreover, the prediction reveals an anticipated 5-times upswing in streaming data and analytics frameworks. In the financial sphere, this would unlock doors to monumental opportunities for data-driven decision making, predictive analytics and risk management, thereby creating a powerful knowledge-based ecosystem. Interestingly, the technology is not just an ‘add-on’ but a ‘game-changer’ in delivering competitive advantages in finance. Truly, for good reason do the giants of numbers – the finance sector – perk up their ears when the wizards of the future – the statisticians – whisper their forecasts. The stats speak not just of technology implementation but signal the dawn of a possible technological renaissance in the finance industry.

McKinsey Global Institute research suggests that by 2020, financial and insurance sectors will have $300B to $350B in data value.

The crescendo of this financial concerto is powered by the compelling prediction from the McKinsey Global Institute. Their research waltzes us into a captivating future – where by 2020, the inclusive brilliance of the financial and insurance sectors could be shining with $300B to $350B in data value. This melodious note signifies the resounding importance of big data in these sectors, painting a picture of data-driven decisions not just resounding in hallways, but taken center-stage; delivering unparalleled performances in profit and efficiency. This anticipated influx showcases the potential monetary value hinged onto effective utilization of big data, harmoniously blending with the anticipation of these sectors evolving into more data-centric entities.

IDC predicts that data workers will spend 20% less time on data searching and preparation, due to the adoption of AI-enhanced tools by 2022.

A projected decrease of 20% in data searching and preparation time, as envisioned by IDC, casts a rather promising light on the landscape of Big Data in the Finance Industry. This paves the way for a future where financial experts can spend more time engaged in the analysis and interpretation of data, unlocking greater levels of insight, rather than getting bogged down in data prep chores. Hastened by the adoption of AI-enhanced tools, this shift signifies profound efficiency enhancements which could translate to increased productivity, reduced costs and the creation of more value from financial data.

As per a 2019 report by Accenture, only 32% of the organizations have successfully implemented a data-driven strategy in their finance departments.

Accenture’s 2019 findings unmask a critical and telling reality, providing a pivot point for the dialogue surrounding big data in the finance industry. It illuminates the fact that a meagre 32% of organizations are leveraging data-driven strategies within their finance departments. This statistic highlights an opportunity gap, a silent call to action for organizations in the financial sector to further invest in and harness the potential of big data. As organizations truly tap into this data goldmine, they can optimize their decision-making processes, enhance performance, boost profits, and achieve a competitive edge. Thus, the statistic is no mere number—it becomes a beacon, illuminating the path forward for the finance industry’s relationship with big data.

The big data analytics segment in the finance market is expected to grow at a rate of more than 22% from 2019 to 2025.

Unveiling the immense potential of the big data analytics segment in the finance market, this sparkling statistic throws light on its formidable growth prospects: an anticipated growth trajectory of over 22% from 2019 to 2025. Grasping the significance of this, it reflects a step change in the industry’s trajectory, underpinning the driving role of big data in redefining financial services. Equally, it symbolizes the exponential convergence of finance and technology domains, and their transformative impact on the global economy. It further attests to the fiscal and operational efficiencies enabled by big data, suggesting a bright horizon for financial institutions striving for digital transformation.

The finance industry is projected to have the highest spending on big data solutions, and this expenditure is expected to reach $22.59 billion by 2027.

Bathing in the bright spotlight of the gargantuan field of Big Data, financial industries all around the world are eyeing a monumental shift. Big Data’s tide isn’t just rising, it’s projected to swell into a tsunami, sweeping across all corners of the finance industry and seeing it reach an astonishing peak of $22.59 billion spending by 2027. This figure, colossal in scope, serves as a testament to the growing adoption and increasing importance of Big Data solutions for financial operations and strategy. This clearly illustrates an undeniable trend – the financial industry is staking its bets on a Big Data enriched future, and if the forecast is anything to go by, its gamble stands to massively pay off, further elevating its standing in the global digital economy.

A 2021 survey revealed that 54% of financial services executives use big data analytics for understanding customers better.

In the epoch of financial digitization, the 2021 survey uncovers the strategic advantage that big data holds. In terms of penetration, a striking 54% of financial services executives have turned towards big data analytics for insightful customer understanding. This revelation showcases an industry-wide revolution, shedding light on the growing preference of industry leaders towards data-driven decision-making. As a reader, you get to witness the dynamic relationship and mutual impact between big data and the finance industry. Such a trend not only weaves a compelling narrative of digital transformation empowering the finance sector but also lends credence to big data’s undeniable role as a tool for customer insight. Indeed, it signifies big data’s transformative potential in the finance industry, indicative of a data-centric future.

61% of financial services companies projected to adopt big data in the cloud by 2022.

Envision a future where decisions are made on the basis of robust, well grounded, and up-to-the-minute information rather than intuition. This is what the statistic ‘61% of financial services companies projected to adopt big data in the cloud by 2022’ brings to the table in the conversation about Big Data in the Finance Industry.

This statistic underscores the rapid and substantial transition shaping the financial sector, a shift towards digitization, and more precisely, towards big data and cloud technology implementation. Most noteworthy is how this evolution provides financial institutions with a firepower to manage colossal amounts of data, help in informed decision-making, spur strategic growth, and enhance their standing in an increasingly competitive market.

Not to ignore, this migration to the cloud not only narrates a tale about advanced data storage and processing capabilities but adds on a cost-efficient flair and expeditious data access. The forecasted figure drafts an inspiring and intriguing blueprint for what the financial industry’s future might look like, making it an indispensable piece of information in the discourse about Big Data in the Finance Industry.

The market size for big data most crucial segment, banking, finance securities and insurance for 2021 is estimated to be $28.9 billion.

Highlighting the whopping $28.9 billion market size for big data in banking, finance securities, and insurance industries underlines the titanic role and impact this technology has in the financial sector. To touch on such a hefty figure magnifies the sheer volume of adoption and application of big data in these essential industries. Grasping the size of the market becomes a testament to the immense value being placed on the data-driven mechanisms in managing, operating and innovating within these sectors. The essence of this statistic in a blog post about Big Data in Finance Industry Statistics essentially paints a portrait of an ever-evolving landscape, confirming that big data is much more than a passing trend, instead showcasing its solidification as a critical element in the finance industry’s future growth and evolution.

75% of financial institutions reported an increase in analytics investments to gain better insights.

Painting the landscape of Big Data in the Finance Industry, the statistic underscores the palpable shift towards data-driven decision making. A compelling 75% upswing in analytics investments among financial institutions illuminates this paradigm shift, signaling a recognition of the predictive power of Big Data. Digging beneath the surface, it suggests that major financial players are fueling the ascendancy of intelligent, fact-based strategies to outpace competition. Essentially, this transition is increasingly becoming an industry norm, setting up analytics as the linchpin in driving profitability and operational efficiency. It’s an investment in insights, a bet on the vital role of Big Data in shaping the future of the finance sector.

70% of banking and financial institution executives indicated big data analytics as the #1 factor for their success.

Immerse yourself in the compelling tale told by this statistic: ‘70% of banking and financial institution executives attributed their success to big data analytics’. Here, the immense weight that big data analytics holds in the finance industry emerges, painting a vivid picture of its significant role. This riveting narrative shines as the pioneering protagonist in our blog post on ‘Big Data in Finance Industry Statistics’, where it has the potential to transform normative strategies into powerful, data-driven success stories. This statistic is not merely a number; it serves as a potent testament to the integral role of big data analytics in shaping the future of the finance industry.

70% of large financial institutions are using big data to improve their risk management capabilities.

Delving into the extraordinary percentage of 70% large financial institutions employing big data for enhanced risk management illustrates an impressive commitment within the finance industry to harness data for strategic planning. Expressed in this figure is a vivid realization of big data’s potent capabilities to offer unprecedented insights into risk management, shaping a more controlled and robust avenue for institutions to optimize their financial explorations. By integrating their operations with big data, these prominent financial institutions are blazing a trail for the rest of the industry, signifying an innovative and technology-driven future. Undeniably, such an influential statistic sets the tone for a significant shift in financial industry norms, reinforcing the indispensable role of big data in shaping progressive finance practices.


In summary, the finance industry’s adoption and use of Big Data has significant implications. The statistics clearly illustrate Big Data’s transformative impact on everything from risk management to customer service, investment strategies to fraud detection. The rapidly evolving digital landscape and increased emphasis on data-driven decision-making reinforce the necessity of Big Data in the finance industry. As this trend continues to grow, companies that utilize Big Data effectively will undoubtedly stay ahead in a highly competitive market. In essence, Big Data is not merely an option for the finance industry; it is an essential asset shaping its future.


0. –

1. –

2. –

3. –

4. –

5. –

6. –

7. –

8. –

9. –

10. –

11. –

12. –

13. –

14. –

15. –