The Latest Enterprise Data Management Industry Statistics Explained
By 2026, the global enterprise data management market is estimated to reach $146.3 billion, marking a CAGR of 12.8% from 2019.
The statistic signifies that the global enterprise data management market is projected to achieve a value of $146.3 billion by the year 2026, reflecting a Compound Annual Growth Rate (CAGR) of 12.8% since 2019. This indicates a steady and substantial expansion in the market size and demand for data management solutions and services used by businesses worldwide. The CAGR of 12.8% highlights a consistent annual growth rate over the specified period, showcasing the strong momentum and increasing importance of effective data management strategies in the enterprise sector.
About 69% of organizations identify data as a business issue, rather than an IT problem.
The statistic that about 69% of organizations identify data as a business issue rather than an IT problem indicates a shifting mindset within organizations towards recognizing the strategic importance of data in driving business decisions and outcomes. This suggests that organizations are increasingly viewing data not just as a technical concern for IT departments to handle, but as a critical asset that can be leveraged to gain competitive advantage, improve operations, and meet business objectives. By acknowledging data as a business issue, organizations are likely to invest more resources into data management, analytics, and governance, aligning their data strategies with overall business goals for enhanced decision-making and performance.
Only 37% of organizations have assigned a dedicated executive for data management.
The statistic that only 37% of organizations have assigned a dedicated executive for data management highlights a gap in strategic leadership regarding data within organizations. Having a dedicated executive responsible for data management is crucial in today’s data-driven business environment to ensure effective planning, governance, and utilization of data assets. Without a designated leader overseeing data management initiatives, organizations may face challenges such as data silos, inconsistent data quality, and missed opportunities for leveraging data for decision-making and business growth. This statistic underscores the importance of prioritizing data management at the executive level to drive data-driven strategies, improve operational efficiency, and achieve competitive advantage in the digital age.
The implementation of machine learning (ML) and artificial intelligence (AI) in enterprise data management systems is set to increase by 75% by 2025.
The statistic indicates that there is a strong upward trend in the integration of machine learning and artificial intelligence technologies into enterprise data management systems, with a projected 75% increase by the year 2025. This suggests that organizations are recognizing the value and benefits that ML and AI bring to enhancing data processing, analysis, and decision-making processes. The growing reliance on automation, predictive analytics, and optimization offered by ML and AI solutions is driving businesses to adopt these technologies at a rapid pace. The rise in data complexity and volume further underscores the need for advanced tools to effectively manage and derive insights from data, leading to the widespread adoption of ML and AI in enterprise settings.
As of 2020, North America held the largest market share of 42.78% in the global data management market.
The statistic states that as of 2020, North America had the largest market share of 42.78% in the global data management market. This means that nearly 43% of the total revenue generated in the data management industry worldwide came from North America. This could be attributed to various factors such as the technological advancement, strong infrastructure, and high adoption rate of data management solutions in the region. As the largest market share holder, North America likely has a significant influence on shaping trends and driving innovation within the data management sector on a global scale.
By 2025, the data management market will increase to $105 billion.
The statistic that by 2025, the data management market will increase to $105 billion indicates a projected significant growth in the industry over the next few years. This statistic suggests that there is a growing demand for data management solutions and services as businesses and organizations increasingly rely on data-driven decision-making processes. The projected increase to $105 billion signifies a substantial market opportunity for companies operating in the data management sector, as well as potential benefits for employment opportunities and technological advancements in data management tools and technologies. Overall, this statistic highlights the importance of efficient data management practices in the evolving digital landscape.
The Asia Pacific data management market will register the highest CAGR of 14.5% from 2019 to 2025.
This statistic indicates that the data management market in the Asia Pacific region is expected to experience a Compound Annual Growth Rate (CAGR) of 14.5% from 2019 to 2025. This implies that the market is projected to grow rapidly over the next few years, reflecting increasing demand for data management solutions in this region. Factors such as advancements in technology, increasing adoption of big data analytics, and the digital transformation initiatives across various industries are likely to drive this growth. Companies operating in the data management space in the Asia Pacific region may see significant opportunities for expansion and investment during this period.
The data management services sector is predicted to witness a CAGR of 14% during 2020-2025.
The statistic indicates that the data management services sector is expected to experience a Compound Annual Growth Rate (CAGR) of 14% over the period of 2020 to 2025. This means that the sector is projected to grow at an average annual rate of 14% during this time frame. A CAGR of 14% suggests a robust and rapid expansion in the industry, which may be driven by factors such as increasing data volumes, technological advancements, and growing demand for data analytics and storage solutions. This prediction highlights the potential opportunities for growth and investment within the data management services sector over the next five years.
About 94% of enterprises use some form of XaaS – software, platform, and Infrastructure as a Service.
The statistic states that approximately 94% of enterprises utilize some form of XaaS (Anything as a Service) model, which includes software, platform, and infrastructure as a service. This high adoption rate highlights the increasing trend towards outsourcing technology services to third-party providers rather than managing them in-house. By leveraging XaaS offerings, businesses can benefit from cost-effective, scalable, and flexible solutions that enhance operational efficiency and enable them to focus on their core competencies. This statistic underscores the strategic importance of XaaS in modern business operations and reflects the growing reliance on cloud-based services to drive innovation and competitiveness in the marketplace.
The BFSI sector is expected to hold a leading position in the data management market due to stringent regulatory norms.
The statistic implies that the Banking, Financial Services, and Insurance (BFSI) sector is projected to have a dominant presence in the data management market primarily because of the strict regulatory requirements imposed on these industries. Given the sensitive nature of financial data and the necessity to comply with various regulatory standards such as GDPR and Dodd-Frank, organizations within the BFSI sector are compelled to invest significantly in robust data management solutions to ensure compliance and data security. This forecast suggests that the BFSI sector will likely prioritize data management initiatives to meet regulatory demands, potentially giving them a leading position in the market due to their specific needs and strategic focus on data governance and security.
In 2021, more than 59 zettabytes (ZB) of data will be created, captured, copied, and consumed globally.
The statistic “In 2021, more than 59 zettabytes (ZB) of data will be created, captured, copied, and consumed globally” highlights the unprecedented scale at which data is being generated and utilized in today’s digital age. The sheer volume of 59 zettabytes represents a staggering amount of information, far exceeding what has been previously recorded in history. This exponential growth in data is driven by various sources such as social media, internet usage, IoT devices, and digital technologies, reflecting the increasing interconnectedness and digitalization of our world. The statistic underscores the importance of effective data management, analytics, and privacy measures to harness the potential insights and benefits offered by such vast quantities of data while also addressing potential challenges related to storage, security, and privacy concerns.
By 2025, half of the enterprises will have robust data management process and AI governance in place.
The statistic implies that by the year 2025, approximately half of all businesses or enterprises will have implemented strong data management processes and established governance specifically focused on artificial intelligence (AI). This suggests a significant shift towards more systematic and structured approaches to handling data and AI technologies within organizations. Such a development indicates a growing recognition of the importance of data quality, security, and compliance, as well as the need for well-defined guidelines and frameworks for deploying AI solutions effectively. Overall, this trend signifies a maturing landscape in which businesses are increasingly prioritizing the strategic management of data and AI to drive innovation, efficiency, and competitive advantage.
66% of corporations have strategy seeking centralization and unification of data under a single view, evidencing an escalating need for efficient data management.
The statistic stating that 66% of corporations have a strategy aimed at centralizing and unifying data under a single view indicates a significant trend towards more efficient data management practices in the corporate world. This suggests that a majority of organizations recognize the value of having a cohesive and integrated approach to managing their data assets, allowing them to access, analyze, and utilize information more effectively. The increasing need for centralized data management reflects the importance of data-driven decision-making and the desire to streamline processes, reduce redundancy, and improve overall organizational efficiency. As businesses continue to prioritize data as a strategic asset, the trend towards centralization and unification of data is likely to grow in importance in the coming years.
About 80% of organizations consider data analysis and interpretation crucial for their business functioning and growth.
The statistic suggests that a large majority of organizations, specifically around 80%, place significant emphasis on data analysis and interpretation as vital components for their business operations and expansion. This highlights a widespread recognition among businesses of the value of leveraging data to make informed decisions, drive strategic initiatives, and ultimately achieve growth in today’s data-driven environment. By prioritizing data analysis, organizations are better equipped to understand market trends, customer preferences, and operational efficiencies, allowing them to stay competitive, adapt to changing conditions, and capitalize on opportunities for innovation and success.
As of 2019, the real-time data generated per day per person amounted to 1.7MB.
The statistic states that in 2019, the average amount of real-time data generated per day per person was 1.7 megabytes (MB). This means that on a daily basis, each individual was responsible for producing or accessing approximately 1.7MB of data in real-time, likely through activities such as browsing the internet, using social media, streaming videos, sending messages, or interacting with various online platforms. The continuous growth of digital information and advancements in technology have led to a significant increase in data generation and consumption on a personal level, highlighting the importance of efficient data management and privacy practices in the modern era.
By 2027, the global data governance market is estimated to reach $4.85 billion, suggesting an important role of governance in data management.
The statistic indicates that the global data governance market is projected to grow significantly, reaching a value of $4.85 billion by 2027. This substantial increase reflects the growing recognition of the importance of data governance in effectively managing and leveraging data assets within organizations. Data governance involves the development and enforcement of policies, standards, and processes to ensure the quality, security, and compliance of data throughout its lifecycle. The anticipated growth in the data governance market signifies a heightened emphasis on establishing robust governance frameworks to address data-related challenges, enhance decision-making processes, mitigate risks, and drive overall business value from data assets.
The number of businesses implementing Big Data has grown from 17% in 2015 to 59% in 2018.
The statistic reveals a significant increase in the adoption of Big Data among businesses, with the percentage of businesses implementing Big Data solutions growing from 17% in 2015 to 59% in 2018. This indicates a substantial shift towards leveraging data analytics and advanced technologies for decision-making and operational improvements within organizations. The rapid growth in adoption suggests that more businesses are recognizing the importance of harnessing the power of Big Data to gain competitive advantages, enhance customer experiences, and drive innovation. This trend highlights the increasing recognition of data-driven insights as a strategic asset in the modern business landscape, reflecting a broader trend towards digital transformation and the prioritization of data-driven strategies among organizations.
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