GITNUX MARKETDATA REPORT 2024

Data Engineering Industry Statistics

The data engineering industry is expected to continue growing at a rapid pace, with increasing demand for skilled professionals and new technologies driving innovation and development in the field.

Highlights: Data Engineering Industry Statistics

  • By 2025, the global big data market size is expected to reach $229.4 billion.
  • There has been a 50% growth in demand for data engineers over the past years.
  • Time spent on data preparation tasks by data engineers is over 80%.
  • The big data industry is expected to grow at a compound annual growth rate of 10.6% from 2020 to 2027.
  • Predictive analytics software market revenues are projected to reach $21 billion in 2025.
  • In 2021, 1.7MB of data will be created every second for every person on earth.
  • China is expected to occupy 30% of the global big data market by 2025.
  • Industries where big data is used the most - 63% of the time in banking and 56% in manufacturing.
  • By 2025, worldwide data generation is expected to reach 180 Zettabytes.
  • 83% of enterprises turned to big data project to improve their understanding of customers.
  • Cloud-based data warehousing offers up to 3 times better ROI than in-house one.
  • The database management system market is on track to be worth $63 billion by 2022.
  • By 2025, as much as 75% of the global population will interact with data daily.
  • By 2021, data utilization from the Internet of Things will reach 95%.

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In the fast-evolving landscape of technology and data-driven decision-making, the field of data engineering plays a crucial role in ensuring the efficient handling, processing, and analysis of vast amounts of data. To shed light on the current trends and insights within the data engineering industry, this blog post will delve into a comprehensive overview of key statistics and metrics that paint a picture of the industry’s growth, challenges, and opportunities. Join us as we explore the fascinating world of data engineering through a statistical lens.

The Latest Data Engineering Industry Statistics Explained

By 2025, the global big data market size is expected to reach $229.4 billion.

This statistic indicates a significant growth trajectory in the global big data market, projecting a substantial increase in its size to reach $229.4 billion by the year 2025. This forecast suggests a strong demand for big data analytics solutions and services across various industries, driven by the increasing volume and complexity of data generated by businesses and individuals. The rapid adoption of advanced data analytics technologies, coupled with the growing recognition of the value of data-driven insights for decision-making and strategic planning, is expected to fuel the expansion of the big data market over the next few years. This trend underscores the importance of harnessing the power of data and leveraging analytical tools to gain a competitive edge in today’s data-driven business environment.

There has been a 50% growth in demand for data engineers over the past years.

The statement “There has been a 50% growth in demand for data engineers over the past years” indicates that the demand for data engineers has increased by 50% relative to some previous point in time. This growth can be interpreted as a positive trend in the job market, suggesting that there is a greater need for professionals with data engineering skills. A 50% increase in demand signifies a substantial rise in the number of job opportunities for data engineers, potentially driven by factors such as increased reliance on data-driven decision-making, advancements in technology, and the expansion of industries that rely on data analysis. This statistic implies that individuals with expertise in data engineering are currently in high demand and may continue to have favorable job prospects in the coming years.

Time spent on data preparation tasks by data engineers is over 80%.

The statistic indicates that a significant amount of time, specifically over 80%, is dedicated by data engineers towards data preparation tasks. This includes activities such as collecting, cleaning, and transforming data to make it usable for analysis or modeling purposes. Data preparation is crucial as it ensures the accuracy and reliability of analytical results, and it often requires a substantial investment of resources in terms of time and effort. The high percentage of time spent on data preparation suggests that it is a key aspect of the data engineering process and highlights the importance of having efficient and effective data preparation strategies in place to optimize the data analysis workflow.

The big data industry is expected to grow at a compound annual growth rate of 10.6% from 2020 to 2027.

The statistic implies that the big data industry, which encompasses technologies and processes used to analyze and extract insights from vast and complex datasets, is anticipated to experience substantial growth over the period of 2020 to 2027. Specifically, the industry is projected to expand at a compound annual growth rate (CAGR) of 10.6%, indicating a steady and consistent year-over-year increase in market size and revenue. This growth rate suggests that the demand for big data solutions and services is expected to rise, driven by factors such as the proliferation of data, advancements in technology, and increasing awareness of the benefits of leveraging data for decision-making and innovation.

Predictive analytics software market revenues are projected to reach $21 billion in 2025.

The statistic “Predictive analytics software market revenues are projected to reach $21 billion in 2025” indicates an estimated future value of the total revenue generated by the predictive analytics software market by the year 2025. This suggests a significant growth trend in the industry, with anticipated increased adoption and investment in predictive analytics technology across various sectors. The projected figure serves as a valuable insight for businesses, policymakers, and investors, highlighting the potential opportunities and market size for predictive analytics software in the upcoming years. This projection can inform strategic decisions for companies involved in the development or utilization of predictive analytics tools, as they navigate the evolving landscape of data-driven decision-making and business intelligence.

In 2021, 1.7MB of data will be created every second for every person on earth.

The statistic suggests that in the year 2021, the amount of data generated per second for each individual on the planet will be approximately 1.7 megabytes. This means that with the increasing use of technology, social media, smart devices, and online activities, an enormous volume of information is being produced constantly. The data can include anything from social media posts, photos, videos, emails, internet searches, sensor data, and more. This statistic illustrates the rapid pace at which digital information is expanding and highlights the importance of managing, storing, and analyzing this vast amount of data effectively to extract valuable insights and drive decision-making processes in various fields.

China is expected to occupy 30% of the global big data market by 2025.

This statistic indicates that China is projected to capture a significant share of the global big data market by the year 2025, with an expected market share of 30%. This implies that China is likely to emerge as a major player in the field of big data analytics and technology, surpassing other countries in terms of market dominance. The growth in China’s big data market share could be driven by various factors such as increased investments in technology infrastructure, a large pool of skilled data professionals, and a growing demand for data-driven solutions across industries. This statistic highlights the importance of China as a key player in the rapidly expanding global big data market and suggests the potential for continued growth and innovation in the country’s data analytics industry.

Industries where big data is used the most – 63% of the time in banking and 56% in manufacturing.

The statistic indicates the industries where big data is predominantly utilized, with banking and manufacturing standing out as leading sectors. Specifically, big data is utilized 63% of the time in the banking sector and 56% in manufacturing. This suggests that these industries heavily rely on big data analytics for various purposes, such as risk management, customer insights, operational efficiency, and product development. The high adoption rates of big data in banking and manufacturing underscore the importance of data-driven decision-making in enhancing business performance, driving innovation, and gaining competitive advantages in these sectors.

By 2025, worldwide data generation is expected to reach 180 Zettabytes.

The statistic “By 2025, worldwide data generation is expected to reach 180 Zettabytes” indicates the rapid growth and expansion of data worldwide. A Zettabyte is a unit of information equal to one sextillion bytes, highlighting the massive scale of data that will be generated in the near future. This exponential increase in data generation is largely driven by the proliferation of digital devices, the growth of the Internet of Things (IoT), and the expansion of digital services across various industries. As organizations and individuals continue to generate and store vast amounts of data, it becomes crucial to enhance data management strategies, implement robust security measures, and leverage advanced analytics to derive valuable insights from this unprecedented volume of information.

83% of enterprises turned to big data project to improve their understanding of customers.

The statistic indicates that a significant majority (83%) of enterprises have initiated big data projects as a strategy to enhance their comprehension of customers. This suggests that companies are recognizing the value of leveraging advanced data analytics tools and technologies to gain insights into customer behavior, preferences, and interactions. By investing in big data projects, organizations aim to gather, analyze, and utilize vast amounts of customer-related data to better tailor their products and services, optimize marketing strategies, improve customer satisfaction, and ultimately drive business growth. This statistic underscores the growing trend of utilizing big data initiatives to strengthen customer relationships and enhance competitiveness in today’s data-driven business landscape.

Cloud-based data warehousing offers up to 3 times better ROI than in-house one.

The statistic that cloud-based data warehousing offers up to 3 times better Return on Investment (ROI) than in-house data warehousing suggests that utilizing cloud services for data storage and management can result in significantly higher cost savings and efficiency gains compared to maintaining an in-house data warehouse infrastructure. By leveraging cloud-based solutions, organizations can benefit from lower upfront investment costs, reduced maintenance expenses, and the scalability and flexibility offered by cloud providers. This statistic highlights the potential financial advantages of outsourcing data warehousing to cloud services, enabling businesses to allocate resources more effectively and achieve a higher ROI through improved data management practices.

The database management system market is on track to be worth $63 billion by 2022.

The statistic indicates that the database management system (DBMS) market is projected to reach a value of $63 billion by the year 2022. This growth highlights the increasing demand for DBMS technologies which are essential for organizing, storing, and retrieving data efficiently in various industries such as IT, finance, healthcare, and more. The rising adoption of cloud-based and big data solutions, coupled with the need for advanced data analytics and real-time decision-making, is driving the market’s expansion. This statistic suggests a positive outlook for DBMS providers and related businesses, signaling opportunities for innovation, competition, and strategic investments in the market.

By 2025, as much as 75% of the global population will interact with data daily.

The statistic ‘By 2025, as much as 75% of the global population will interact with data daily’ refers to the significant and growing role that data plays in today’s society. With the increasing digitization of our world, from social media usage to online shopping and smart devices, individuals are constantly generating, consuming, and interacting with vast amounts of data. This statistic underscores the pervasive nature of data in our lives and highlights the importance of data literacy and privacy awareness for a majority of the global population. As we move towards a more data-driven future, understanding how to effectively navigate and interpret data will become increasingly crucial for individuals across various sectors, from education and healthcare to business and policymaking.

By 2021, data utilization from the Internet of Things will reach 95%.

The statistic “By 2021, data utilization from the Internet of Things will reach 95%” indicates that by the year 2021, a substantial portion of generated data will be coming from connected devices within the Internet of Things (IoT) network, and this data will be utilized at an unprecedented rate. This suggests that an overwhelming majority (95%) of the data collected from IoT devices such as sensors, wearables, and smart appliances will be actively processed and analyzed for various purposes including decision-making, predicting patterns, improving efficiency, and enhancing user experiences. This statistic highlights the growing importance and impact of IoT technology in generating valuable insights and driving advancements across various industries.

Conclusion

Through examining the latest data engineering industry statistics, it is evident that the field is rapidly evolving and expanding. The increasing demand for data-driven decision-making across various sectors highlights the importance of data engineers in managing, processing, and analyzing large datasets. As technology continues to advance, data engineering professionals will play a crucial role in shaping the future of data infrastructure and analytics.

References

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How we write our statistic reports:

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 Process.

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