In our digitally-driven world, the field of data science has undeniably carved a niche for itself, dominating numerous aspects of business, technology, and innovation. But just how much impact does it truly have? To answer this, we delve deep into the world of numbers, trends, and facts. This blog post will illuminate the current landscape of the data science industry, drawing from the latest statistics and expert insights. Whether you’re a data science professional, an aspiring student, or a business leader, our comprehensive overview of data science industry statistics will provide an informative and insightful pulse check. Let’s embark on this quantitative journey and unravel the mystery that lies behind the data science phenomenon.

The Latest Data Science Industry Statistics Unveiled

A shortage of 250,000 data scientists is predicted in the United States. Source: LinkedIn Workforce Report.

Painting a vivid picture of the data science landscape in the United States, the LinkedIn Workforce Report unveils a perplexing paradox. While data science remains a blazing trail, a staggering shortfall of 250,000 data scientists looms ominously on the horizon. This astounding figure not only underscores the skyrocketing demand for data science prowess, but also forewarns of the looming challenges that the industry may face.

In the universe of the data science industry, this could be seen as a meteor about to hit. As every sector now leverages data to fine-tune decisions, strategize, and boost efficiency, the desperate call for data scientists is louder than ever. Without these analytical maestros, companies may struggle to keep up in an increasingly data-centric world.

Wrapped in this alarming statistic is also a glimmering opportunity. The chasm between supply and demand for data scientists lights up a pathway for anyone embarking on or advancing a data science career. The silver lining in this imminent shortage is the likelihood of competitive salaries, higher investment in training, and an increased focus on data literacy across all job roles.

Thus, this prediction from LinkedIn Workforce Report furnishes our blog post with an audacious insight into the data science industry, driving home the fact that data science is not merely a fleeting trend, but an urgent necessity.

A 28% annual growth is expected in the data science job arena till 2020. Source: IDC.

Highlighting the prediction of a 28% annual growth rate in the data science job market until 2020, courtesy of IDC, underlines the surging demand and burgeoning opportunities within this industry. The numbers essentially trumpet the booming vitality and robust dynamics of the data science realm; a crescendo that rings loud and clear with promise, setting the tempo for exponential progression, professional promise and industry-wide expansion. The constant evolution of this domain is put into perspective, thus underscoring how invaluable data science has become in today’s digitally-processed world. This growth projection also serves as a beacon for those exploring career landscapes, pointing towards the fruitful possibilities that lie in the path of data science.

Job postings in data science and analytics increased over 15% in 2020. Source: QuantHub.

Scrutinizing the significant uplift in job postings for data science and analytics by over 15% in 2020 uncovers invaluable insights into the accelerating momentum of the data science industry. QuantHub’s revelation encapsulates the escalating wealth of opportunities, on the backdrop of a year fraught with global uncertainties. It is emblematic of the increasing reliance of diverse sectors on data-driven strategies to brave daunting challenges and strengthening their data infrastructure. Thus, it shines a light on the vibrancy and resilience of the data science industry, making it an indispensable component of any discourse around data science industry statistics.

70% of chief executives have stated that they plan to adopt AI technology by 2030 predominantly to handle data analytics. Source: PWC.

Dive deeper into the profound ocean of the modern corporate world, and you’ll find an intriguing statistic that asserts that 70% of chief executives plan to embrace AI technology by 2030, primarily for data analytics, according to a PWC survey. This revelation nudges us towards a pivotal trend that is reshaping the data science field. Picture this: if you’re nostalgically tied to tradition, this statistic serves as a gentle prod, reminding you that it’s time to step into the future where AI-driven data science is slowly becoming a norm and not an exception. It’s as though we’re on the brink of a technological revolution, one that is set to redefine and digitize data analytics. Evidently, this isn’t a trend that’s confined to only a few tech-savvy leaders; instead, it’s sweeping across the board, compelling CEOs to gravitate towards this evolving phenomenon. Are you prepared to embrace an era where data science and AI become the ultimate comrades in the corporate realm, spearheading new milestones in innovation and efficiency? This statistic makes you ponder this question, underlining the significance and the sheer magnitude of this impending transformation.

Over 40% of data science tasks will be automated by 2020. Source: Gartner.

Integrating this sterling statistic into a blog post about data science industry statistics sheds crucial light on the rapidly evolving dynamics of the field. The fact that over 40% of data science tasks are predicted to be automated by 2020, as per Gartner’s study, paints a vivid picture of the industry’s leap towards automation. It underscores the increasing reliance on AI and machine learning technologies to streamline complex data examination tasks, which in turn, could trigger a significant shift in the demands and expectations of data science professionals. This transformation potentially frees up more time for these experts to focus on strategic, higher-order problem-solving and decision-making processes. Thus, conveying this information effectively communicates to readers the pace of change in the data science industry, and can have profound implications on those intending to step into or even steer their careers in this industrious world.

90% of the world’s data has been created in the last two years. Source: IBM.

Let’s dive into the ocean of digital data, an expansive world that is irreversibly transforming our lives and businesses. Picture 90% of this digital ocean as a fiercely flowing river, fueling the industrial engine of data science since only the last couple of years. Isn’t this a staggering perspective? It’s a testament to an explosion of digital information, growing faster than ever before.

Through the lens of this trend, the data science industry becomes the Red Sea of opportunities, the hard-pressed miners panning for golden insights. The voluminous growth in data symbolizes a gold rush for data scientists, pumped by the profound revelation from IBM.

This vivid rising tide reflects an unruly landscape that generates data in everyday actions. Everything from social media interactions to online transactions leaves a digital fingerprint. This expansive and exponential growth in data creates a paradise of practical research for data scientists. Thus, the IBM statistic doesn’t just indicate the size of the data reservoir but also emphasizes the rising demand, relevance, and urgency of data science in our daily lives.

Moreover, it subtly stresses the critical need for improving data processing capabilities. As these colossal volumes of data continue to roll in relentlessly, the tools and techniques of yesteryears may not suffice, necessitating continual innovation in the industry. This scenario makes data science intriguing and challenging, promising a riveting exploration for those daring to dive deep into its depths.

So, let’s gear up, fellow data divers. We’ve got an ocean to explore, made mostly of the rushing waters of recent years, and it’s expanding with each passing second. Endless opportunities wait beneath these electronic waves for those poised to surf the surge. Hence, this statistic from IBM is more than a statistic – it’s a call to ride the wave of the data science revolution.

The number of job postings for data scientists rose by 29% year on year, but the interest from job-seekers rose by just 14%. Source: Indeed.

This noteworthy statistic serves as a pulse check on the rapidly evolving field of data science. When dissected, it reveals a fascinating narrative of a growing supply and demand imbalance in the data science job market. From one perspective, a 29% surge in job postings showcases the soaring importance businesses are attaching to data sciences and the new opportunities being forged in this space every year. However, the flip side presents a scarcer 14% rise in job-seeker interest, which starkly outlines the burgeoning talent gap in the industry. Thus, it stands as a clarion call for aspirants in the tech field to equip themselves with data science skills, and a cautionary advisory for businesses to innovate in their talent acquisition and retention strategies. Moreover, it prompts focused discussions and potential recommendations about bridging this gap to ensure the sustained growth and innovation in the data science industry.

In the United States, data scientists earn an average salary of $96,491 per year. Source: Payscale.

Painting a picture of the industry landscape, the statistic illuminates the inherent financial value tied to the role of a data scientist in the U.S. At an encouraging average of $96,491 per year, the figure narrates a tale of prosperity and potential growth, thereby generating an allure for those contemplating this career trajectory. It acts as a beacon, shedding light on the robustness of the data science market and signaling the lucrative rewards for the desirable skills within this field. Notably, this monetary reflection not only elevates the prestige of the profession but also underscores its strategic significance in shaping the future of U.S. industries.

Globally, we’re forecasted to create 1.7MB of data per person, every second by 2020. Source: Domo.

As we dive deeper into the digital age, it’s important to illuminate the sheer magnitude of information we are generating. Envision this: by 2020, around the world, each individual will be contributing to a virtual tsunami, creating 1.7MB of data every passing second, as estimated by Domo. This staggering data growth and accumulation not only redefine the scale at which we understand data storage but also underscore the rising demand and paramount importance of the data science industry.

This data explosion is like an endless gold mine, ripe for insights, for those adept in data mining, interpretation and utilization. Hence, mastering data science becomes a crucial, if not requisite skill, in extracting meaningful patterns and deriving actionable intelligence from this virtual deluge of data. The quantified prediction provides clear evidence of the sheer scale of opportunities for data scientists, statisticians, and businesses willing to harness this potential power of data. The data science industry is not only pivotal but indeed aligned with the global trend of relentless data creation.

The demand for data scientists in non-tech industries like healthcare and finance is growing rapidly, at over 50% per year. Source: Burtch Works.

Setting the scene in a galaxy of escalating data volumes, where every sector is grappling to gain insightful analytics, the highlighted Burtch Works’ statistic serves as a pulsar, radiating the surging demand for data scientists beyond the tech terrain. It spotlights the rapid expansion of data science into non-tech domains like healthcare and finance, growing at an astonishing pace of over 50% per annum.

In the context of a blog post about data science industry statistics, this cosmic shift ushers in a whole new arena of opportunities and challenges. It pin-points towards an evolving job landscape, insinuating an upgrade in skills and competencies necessary for a data scientist today.

The revelation paints a promising career outlook for the data science enthusiast, propelling them to explore diverse ventures beyond tech boundaries and make significant contributions in sectors previously untouched by deep data analytics. Simultaneously, it underscores the transformative power of data science, subtly emphasizing its potential in reshaping traditional work streams in the healthcare and finance sector, leading to improved efficiency, decision making and customer experience.

Hence, this Burtch Works’ statistic pulsates as a significant beacon for all stakeholders of the data science universe, reiterating that the exploration and conquest of the data world is only in its fledgling stages.

61% of organizations have identified Machine Learning and Artificial Intelligence as their company’s most significant data initiative for next year. Source: MicroStrategy Report.

The orchestration of this statistic creates a symphony of insights, echoing the industry’s shifting paradigms. This 61% of organizations, captured in the MicroStrategy Report, are not merely numbers on a page – they lead the vanguard, marking Machine Learning and Artificial Intelligence as their guiding beacon for the upcoming year. It’s as if they’ve cast their old maps aside, charting a course through the vast, unexplored territories of the data-driven future. This unveiling reflects the evolution within the data science industry, nudging the strategic compass towards AI and ML. It tantalizingly suggests a seismic shift in operational strategy – a revelation which, like a lighthouse, illuminates the path for others in this digitally transforming landscape.

59% of all Data Science and Analytics job demand is in Finance and Insurance, Professional Services, and IT industry. Source: Burning Glass Technologies.

Diving headfirst into the pool of data science and analytics, one can’t help but be struck by an illuminating fact. The beacon of 59% of job demand in this field shines brightly in three sectors; Finance and Insurance, Professional Services, and the IT industry. This particular statistic, backed by Burning Glass Technologies, is like a road sign pointing towards the thriving opportunities. It’s a testament to the prominent influence these sectors have in driving the ever-evolving landscape of data science. For aspiring data scientists, this serves as a compass, leading them towards industries where their skills are most sought after. Furthermore, this statistic punctuates the pulsating need for data-driven decision making in these core sectors, asserting their critical role in shaping the future of data science and analytics.

More than 50% of businesses intend to adopt big data analytics by 2022. Source: Cision PR Newswire.

Within the panorama of a blog post dissecting the intriguing world of data science industry statistics, the fact that over half of businesses foresee bringing big data analytics into their tool kit by 2022 drops a significant breadcrumb. It draws an unmistakable trajectory of the industry’s direction, underlining just how quickly the importance of harnessing and interpreting massive data swells has ascended on the agenda of enterprises globally.

As antennas of modern businesses shift to the alluring frequency of data-based decision-making, this statistic serves a dual purpose. Firstly, it stands as an alert for relooking enterprise strategies, highlighting the imperativeness for other businesses to either join the data analytics adoption bandwagon or risk being left behind. Secondly, it pulls back the curtains on the burgeoning demand for data science skills, providing robust encouragement for aspiring data scientists and contextualizing the boom in the industry’s growth.

Navigating the post’s informative path, readers can now factually grasp the penetration and power that data analytics are tipped to command in the imminent future, making this pithy statistic a critical waypoint in their understanding of the ever-evolving data science industry.

39% of business executives trust in automated analytics to access important business data. Source: Narrative Science.

Highlighting the statistic that 39% of business executives trust automated analytics to access pivotal business data offers a profound insight into the growing confidence in data science within the business domain. In a rough-and-tumble business environment where every decision counts, this figure underscores the incremental shift towards data science solutions for informed decision-making.

This assertive nod to automated analytics includes a strong message about the surge of transformation in the industry, where machine learning and AI become trusted allies rather than threatening unknowns. It’s a signal that the toils of the data science industry are breaking barriers, instilling faith in technology, and fostering an environment where tradition and innovation coexist and interact constructively.

In the grand tapestry of data science industry statistics, this figure can serve as a vibrant thread. It can shape narratives about the future of business intelligence, the role of automation and algorithms, and about how executives are gradually yielding strategic ground to data science. It’s a telling piece in the puzzle that charts out not just the current embrace of analytics, but the possibility of a future where data-driven insights will become the gold standard for business operations.

Only 23% of global executives have strongly implemented big data analytics in their firms. Source: Forbes.

Delving into the realm of data science industry statistics, it becomes conspicuously clear that the infiltration of big data analytics among global executives is in its infancy, with only 23% having firmly established its presence in their firms. This intriguing insight, courtesy of Forbes, not only indicates the underutilization of such a potent tool, but also underscores a reservoir of untapped potential in the market. Further translation of this figure implies a distinctive competitive advantage for those who harness this tool early, whilst those lagging behind risk obsolescence. Furthermore, this statistic presents a clarion call for training and development in data analytics to bridge the prevailing knowledge gap among executives. Through this lens, this statistic dutifully serves as both a beacon and a caution to readers navigating the data science industry.

Approximately 44 trillion GB of data will be produced by 2020. Source: Seagate.

Delving into this fascinating statistic from Seagate, one can appreciate the breathtaking magnitude of the global production data – approximately 44 trillion GB by 2020. Within the realm of the data science industry, these figures stand as an awe-inspiring testament to the escalating value and necessity of data science. With this tide of data surging in, organizations worldwide face the challenge of harnessing this deluge and converting it into reasonable and profitable information. Cue, our data science industry, the indispensable beacon in this chaos, effectively sifting, managing, modeling, and translating raw data into actionable insights. This towering wave of data consequently underscores the growing demand for data scientists, relentless innovation in data processing tools and algorithms, and marks an era of golden opportunity and vigorous growth within the industry.

Over 2.5 quintillion bytes of data are created each day across the globe. Source: IBM.

Dive deep into the world of data and you’ll find yourself swimming in a sea of over 2.5 quintillion bytes generated each day. According to IBM, our globe is practically fueling a data explosion on a daily basis.

Unraveling this data deluge is exactly why the data science industry exists. As the custodians of data, data scientists tease insights from this enormity, essentially turning digital chaos into a goldmine of solutions and strategies. Think of this – every byte in these quintillions provides an opportunity for data scientists to detect patterns, predict trends, improve decision-making, and impact outcomes.

As such, this statistic is not just about the quantity of data. It is a bellwether of the burgeoning importance and inevitable growth of the data science industry. It signals the skyrocketing demand for data professionals, the intensifying thrust on data-driven operations across sectors, and the increasing scope for innovative big data technologies. Simply put, the data creation rate underlines the future of data science – enormous potential and exciting challenges.

So, when you browse through other data science industry statistics, remember this – each quintillion byte of data paints a picture of the transformative power of data science. The more data we produce, the more relevant and impactful data science becomes. It’s an exhilarating ride into the future.

And thus, the journey of every data byte highlights the true essence of why data science is not just an industry growth statistic – but a testament to human progress in the Information Age.


In this era of digitalization, the data science industry has experienced remarkable growth and is poised to continue its significant influence in the future. The current statistics offer an insightful perspective into this rapidly evolving sector. In a world where data is the new oil, the roles data science plays in business, technology, and decision-making processes remain critical. Despite the constant shift and changes, the statistics affirm that pursuing a career in data science can be a smart move with numerous productive opportunities. To stay at the forefront of this transformative wave, professionals and businesses should continually adapt and refine their data-related skills and strategies. As we navigate this data-driven future, the data science industry will undoubtedly continue to be a beacon of innovation, transformation, and growth.


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