The Most Surprising Data Management Industry Statistics in 2023

Facts about this Market Data Report

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Highlights: The Most Important Data Management Industry Statistics

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In today's digital age, data has become a crucial asset for every business, driving decision-making and strategies across all sectors. As we delve deeper into the fascinating world of data, we find that effective data management is no longer a luxury but a necessity. It's vitally important to have a keen understanding of data management industry trends, not only to keep your organization competitive but also to keep pace with accelerated business transformations.

In this market data report, we will explore the most up-to-date and relevant statistics dominating the data management industry. These figures will offer a close-up view of the importance of data stewardship and help us understand why organizations are investing substantial resources in this area. So, let's dive straight in and decipher the intriguing science of data, numbers, and trends.

The Latest Data Management Industry Statistics Unveiled

By 2022, 90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.

As we delve deeper into the intricacies of the Data Management Industry, spotting trends and patterns becomes pivotal. The statistic highlighted above, remarkably indicates a maturing market, where by 2022, nearly 90% of corporate strategies will recognize information as a vital enterprise asset and analytics as a key skill. Now, imagine the transformation this signifies - a radical shift from merely collecting and storing data to strategically utilizing it for leading-edge insights and decision making.

Integrating such a trend into our discussions helps underline the intensifying importance of data management and analytics in the corporate arena. Reflecting on these projections, businesses across the spectrum need to gear up for a landscape where a data-driven approach will be the norm, not an exception. It is an inevitable trajectory that prods businesses to level up their data management game, enhancing their data-processing infrastructure, and, more importantly, fostering a data-adept workforce.

Furthermore, it is not just a statistical figure. It is a beacon, enlightening the direction where the industry is steering. It suggests a substantial market demand for competent data management and advanced analytics solutions, creating a hotbed of opportunities for the players in this industry. As the perceived value of information skyrockets, so does the demand for efficient data handling standards, opening the floor for an exciting competitive battleground in the data management industry.

By 2025, the worldwide data will grow 61% to 175 zettabytes, with as much of the data residing in the cloud as in data centers.

Illuminating the potential march of the data deluge, it's forecasted that by 2025, the global data wealth will catapult to 175 zettabytes, a 61% growth. This flood of information equates not only to data's physical growth, but also its migration, with omnipresent clouds forming the new home for data, on par with traditional data centers.

For professionals in the Data Management Industry, these numbers reveal an expanding universe of opportunity as vast as the data itself. The surge in global data necessitates increased storage, implying opportunity for cloud-based solutions previously unmatched by data centers. Orchestrating this data migration, means mastering a changing landscape and potentially, the reins of the industry.

Beyond volume and location, the data growth underscores the critical importance of effective and efficient data management. To harness the potential within these zettabytes of data demands advanced analytics and robust data management systems. Possibilities for innovation in machine learning, AI and data security reverberate in these figures.

Thus, the statistic encapsulates not just a prediction of increased data, but the trajectory of the Data Management Industry itself. It's a call to evolution, reinvention and the kind of voracious innovation that can only be inspired by 175 zettabytes.

An average of $5 million is the potential cost savings for businesses implementing a data management platform according to a 2019 study.

Featuring within the illuminated discourse of Data Management Industry Statistics, the proclaimed 2019 study unveils a golden thread - a striking potentiality of $5 million in cost savings for businesses adopting a data management platform. Such a revelation offers businesses an insight sparkling with economic allure, unequivocally endorsing the fruitful intersection of savvy technology adoption and financial strategy. Essentially, this statistic crystallizes the tantalizing promise of operational efficiency and financial gravity as it beckons businesses across the globe to harness, leverage, and revolutionize their data management systems. Ultimately, by doing so, it ingeniously makes an appealing case to embark on the journey of data management platform implementation.

65.2% of businesses cited improving the quality of business decisions as the main reason for investing in advanced big data and analytics.

Delving into the heart of pertinent data management industry statistics, there's a revelation. A commanding 65.2% fraction of businesses point to enhancing operational decision-making quality as their driving motivation to plunge into advanced big data and analytics. This statistic holds significant weight, illustrating a shift in current enterprise trends.

It brings to light their recognition of data as a valuable resource in strategic planning, illuminating the path to informed decisions and elevated performance. This figure also highlights the escalating prominence of data-driven decision-making, placing it at the forefront of business priorities.

Moreover, it fuels the discussion on the integral role of effective data management systems in harnessing the power of big data, thereby providing insightful perspectives for stakeholders in the data management industry.

Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone.

Unveiling the magnitude of data birthed daily puts into clear perspective the colossal task shouldered by the Data Management Industry. With the creation of 2.5 quintillion bytes of data daily, we're not merely talking about petabytes or exabytes, but a behemoth of digital information payload beyond imagination.

Visualize this startling fact - the quantum of data formed in the world today has ballooned by a staggering 90% in just the recent pair of years. This places an unprecedented and challenging burden on the 'data management' industry. This burden, however, is a veiled opportunity - an opportunity to design, innovate and revolutionize the techniques of handling, processing, storing and securing data. It bridges the industry experts' conversation about logical data modeling to the traditional 'water-cooler' chats.

Moreover, these facts encapsulate the rapid acceleration of our digital universe and the inextricable intertwining of data management in our daily lives. These statistics form the core rationale behind pushing the borders of existing technology and necessitate an unreserved investment in big data and AI. They are the catalysts that inspire ongoing progress and experimentation in the fields of data security, privacy, and ethical use.

Today's data deluge underscores the inherent importance and potential growth of the data management industry, functioning as the underpinning foundation of our digitally evolving society.

Data scientists spend 80% of their time cleaning and manipulating data, rather than mining for insights.

In the realm of data management, imagine the intriguing paradox where data scientists, meant to be the miners excavating nuggets of insight, actually function more as custodians of the data mine. Their toil is primarily consumed in decluttering and reorienting the data, with a whopping 80% of their efforts allocated towards this vast endeavour. This statistic unveils the critical importance of effective data management.

Without it, these data professionals are confined to spending the majority of their efforts on groundwork, instead of unlocking substantial value from the mountains of data that organisations accumulate. The implications of this extend further - influencing decision-making efficiency, resource allocation, and cost management. Thus reinforcing the pivotal role of robust data management in the data industry, and making it an indispensable aspect to explore in any discourse on industry statistics.

Poor data management practices cost businesses an average of $15 million per year in 2017.

Diving headfirst into the ocean of numbers, it's worth highlighting how poor data management gnawed away at businesses' finances in 2017, eroding an average of $15 million per annum. Within a blog post discussing Data Management Industry Statistics, this figure sends a powerful ripple across the water, emphasizing the astounding financial impact of overlooked data management.

The picture it paints is compelling: For every minute businesses fail to swim with the current of efficient data utilization, there's a potential pile of cash slipping through the fingers. With such an economic wallop, this statistic has the persuasive prowess to urge organizations to critically evaluate their data management techniques and seek improvements, underscoring the immense price tag attached to neglecting the workings of optimal data management.

84% of CEOs are concerned about the quality of the data they’re basing their decisions on.

Wrestling with the gravity of this statistic, it's impossible to ignore the vast implications it has on the Data Management Industry. Engage with the thought that a gigantic 84% of CEOs reveal their apprehension regarding the data quality basis of their decisions. This percentage heralds a clear warning that data integrity is not a mere footnote in boardroom agendas, but a rising specter of concern.

It rips open a glaring challenge for the data management industry; an urgent mandate to enhance data quality assurance, fortify trust and stamp out doubts lurking in executive minds. Meanwhile, it also brings forth an immense opportunity. A market dominated by data-skeptical CEOs is a fertile ground to innovate, improve, and instill confidence, ultimately evolving the landscape of industry standards in data management.

Thus, this statistic isn't merely a percentage. It is a lion's roar emphasizing the urgency of data quality and reliability, a call to arms for data management professionals, and a compass pointing towards a notable growth horizon in the industry. It is not just data; it is a map marking the pitfalls and potentials of the data management industry, charting the course that industry professionals must navigate in the coming times.

Just 3% of companies' data meets basic quality standards.

Delving into the world of Industry Data Management through a statistic lens, it's rather alarming to uncover that a meager 3% of companies' data adheres to basic quality benchmarks. This nugget of information is far more than just a percentile; it's a bright, red warning light flashing in the digital sea of data.

In the grand scheme of Data Management Industry Statistics, this figure serves a metaphorical wake-up call—in the era where data is the new gold, most companies are, in fact, digging in vein. The lean percentage adds an urgent edge to the discussion, highlighting a widespread industry crisis and spearheading potent conversations around the importance of quality data. It underlines the critical need for robust data management strategies that can transform this grim narrative into a story of success, accuracy, and profit.

But that's not all. This statistic also serves as a rallying point for data management companies. It's a beacon, guiding them to potentials clients struggling with data quality issues. What we have at hand is not just a statistic but an unsettling revelation, a call to action, and a business opportunity—all intimately intertwined into a single figure: 3%.

Global Big Data and business analytics revenue is forecast to reach $274.3 billion by 2022.

Forecasting the global Big Data and business analytics revenue at $274.3 billion by 2022 isn't just a number written in the stars but paints a vibrant picture of the Data Management Industry's skyrocketing growth. It is a testament to the industry's relentless innovation, expansion, and potential, encouraging tech enthusiasts, businesses, and investors to join the serenade.

This impressive figure stands as a beacon for the future, emphasizing how invaluable data has become in our digital lives. It shines a spotlight on the industry's growth rhythm, underscoring the crucial role data management and analytics play in shaping the global business landscape.

Projecting such ginormous revenue also signals the bullish trend of businesses incorporating data-driven strategies, thereby deepening the industry's influence and reach. Moreover, this projection dynamically juxtaposes the industry's present scenario with its future potential, providing a clear trajectory to readers about market trends and lucrative opportunities simmering in the data management realm.

Finally, this statistics serenades a call-to-action. It reminds businesses to leverage data management tools and analytics to adapt, survive, and triumph in the new 'normal,' where data is not just a numerical sea but a powerful resource driving strategic advantages and business growth at an unparalleled pace.


Navigating through the current digital age is seamless when you have a good handle on data management. The statistics showcased in this blog post clearly demonstrate the vital role of data management in today’s data-rich industries. With the exponential growth in data volume, the increasing adoption of big data technologies, and the significant financial implications of effective data management, it's apparent that robust data management strategies are no longer an option - they are a necessity.

Keep these statistics in mind as you formulate your data management solutions, ensuring a smarter, more efficient, and cost-effective operation that can transform your business landscape. Remember, the future belongs to organizations that can turn their data into actionable insights, and it all begins with proficient data management.


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Frequently Asked Questions

Data management is the process of collecting, storing, organizing, protecting, and analyzing data to support an organization’s operations. In the data management industry, it refers to a comprehensive approach to manage the flow of data from creation and initial storage to the time when it becomes obsolete and is deleted.
Data management is essential in today’s business landscape because it helps organizations make informed decisions, reduce errors, maintain regulatory compliance, and improve service delivery and customer engagement. It can lead to greater operational efficiency, better data protection, and strategic business growth.
The key components, typically, would be data architecture, governance & quality, warehousing & recovery and certain business intelligence capabilities. Overall, the strategy should be designed to ensure data’s consistency, security, accuracy, and completeness, and to facilitate the easy sharing and transfer of data.
Several technologies are revolutionizing the data management industry. These include artificial intelligence (AI), machine learning (ML), big data analytics, cloud computing, and blockchain technology. These technologies are helping to automate data management processes, enhance data analysis, and improve data security.
The major challenges include dealing with large volumes of data (big data), maintaining data quality, ensuring data security and privacy, complying with regulatory standards, and integrating various types of data from multiple sources. Additionally, the lack of skilled data management professionals can also pose a challenge.
How we write these articles

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly. See our Editorial Guidelines.

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