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Enterprise Data Warehouse Market to be Worth $8.15 Billion by 2030
Published November 23, 2023
Meticulous Research®—a leading global market research company, published a research report titled, ‘Enterprise Data Warehouse Market by Offering (Solution, Services), Organization Size, Deployment Mode, End-use Industry (IT & Telecommunication, Healthcare, Retail & E-commerce, BFSI, Manufacturing), and Geography - Global Forecast to 2030.’
According to this latest publication from Meticulous Research®, the enterprise data warehouse market is projected to reach $8.15 billion by 2030, at a CAGR of 14.4% during the forecast period. The growth of this market is driven by the increasing role of business intelligence and data analytics in enterprise management and the rising importance of data-driven decision-making to improve business performance. However, the complex utilization of data warehouse services restrains the growth of this market. Furthermore, the growing deployment of large-scale cloud data warehouses and the rising adoption of virtual data warehousing to boost the data access process are expected to create market growth opportunities. However, managing data structure and optimizations is a major challenge for the players operating in this market. The latest trends in the enterprise data warehouse market are the increasing use of machine learning and artificial intelligence.
The enterprise data warehouse market is segmented by offering (solution [data warehousing & integration, data governance, master data management, advanced analytics, business intelligence, data mining, and other solutions], services [professional services and managed services]), Organization Size (large enterprise and small & medium-sized enterprise), Deployment Mode (cloud-based deployment and on-premise deployment), End-use Industry (IT & telecommunications, retail & E-commerce, healthcare, manufacturing, energy & utilities, education, BFSI, government, and other end-use industries), and geography. The study also evaluates industry competitors and analyses the market at the regional and country levels.
Based on offering, the enterprise data warehouse market is segmented into solutions and services. In 2023, the solutions segment is expected to account for the larger share of the enterprise data warehouse market. The large market share of this segment is attributed to the rising need to track and modify marketing campaigns for faster and more accurate evaluation, the increasing demand for maintaining data quality and consistency, the increasing role of business intelligence and data analytics in enterprise management, the rising adoption of virtual data warehousing to boost data access process, and the growing need to protect the existing and prospective customers’ information. Also, this segment is projected to register the highest CAGR during the forecast period.
Based on organization size, the enterprise data warehouse market is segmented into large enterprises and small & medium-sized enterprises. In 2023, the large enterprise segment is expected to account for the larger share of the enterprise data warehouse market. The large market share of this segment is attributed to the growing need for streamlined data management, improved analytics, better decision-making, easier access to structured data across the organization, and the rising need to store large volumes of data. It promotes better business intelligence and strategic planning, and the growing implementation of EDW ensures data security, compliance, and governance in large enterprises.
However, the small & medium-sized enterprise segment is projected to register the highest CAGR during the forecast period due to the rising adoption of EDW to streamlined data management and improved insights for better decision-making, the growing need to enhance efficiency in operations and scalability, the increasing adoption to improved analytics and reporting capabilities that empower smaller enterprises to make data-driven decisions, and the growing need to Improve data quality management.
Based on deployment mode, the enterprise data warehouse market is segmented into cloud-based deployment and on-premise deployment. In 2023, the on-premise deployment segment is expected to account for the larger share of the enterprise data warehouse market. The large market share of this segment is attributed to the growing use of on-premises data warehouses for better control, speed, security, governance, and availability, the rising need to achieve data governance and regulatory compliance, and the higher preference for on-premise deployments among large enterprises.
However, the cloud-based deployment segment is projected to register the highest CAGR during the forecast period due to the growing deployment of large-scale cloud data warehouses, the rising need for advanced security measures, encryption, access control, and compliance certifications, the increasing use to handle large volume of data and faster processing speed, and the rising adoption of cloud-based EDW for automatic updates and maintenance.
Based on end-use industry, the enterprise data warehouse market is segmented into IT & telecommunications, retail & E-commerce, healthcare, manufacturing, energy & utilities, education, BFSI, government, and other end-use industries. In 2023, the IT & telecommunications segment is expected to account for the largest share of the enterprise data warehouse market. The large market share of this segment is attributed to the increasing adoption of EDW to enable a comprehensive view of customer behaviors, network performance, and operational insights, the rising use for proactive maintenance, capacity planning, and the identification of potential issues, the growing need to manage regulatory compliances by securely storing and managing sensitive customer data, and the rising adoption of virtual data warehousing to boost data access process.
However, the healthcare segment is projected to register the highest CAGR during the forecast period due to the increasing adoption of EDW solutions to aggregate patient records, medical histories, and diagnostic reports, the rising need to streamline administrative tasks, billing, and inventory management, the growing use for data exchange between different healthcare systems, and the increasing use of the solution for predictive analysis for disease outbreaks, patient trends, and resource need.
Based on geography, the enterprise data warehouse is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. In 2023, North America is expected to account for the largest share of the enterprise data warehouse market. The large market share of North America is attributed to the rising technological advancement of several industries and the presence of many key vendors, the increasing reliance on data-driven decision-making in businesses, the rising shift towards cloud-based solutions due to cost-effectiveness and flexibility, and the growing need for collaborative data storage and analytics solution due to rise in remote work culture.
However, the Asia-Pacific market is projected to register the highest CAGR during the forecast period due to the rising growth in E-commerce along with technological innovation in countries such as China, India, and South Korea, the growing demand for data integration tools and software, the increasing adoption of data warehouse solution by various departments such as healthcare and IT telecommunication, and the rising importance of data-driven decision making to improve business performance.
The key players operating in the enterprise data warehouse market include Accur8 Software (U.S.), Virtusa Corporation (U.S.), International Business Machines Corporation (U.S.), Microsoft Corporation (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), Snowflake Inc. (U.S.), HCL Technologies Ltd. (India), Amitech Solutions, Inc. (U.S.), Fusion Consulting AG (Switzerland), Micro Focus International Limited (U.K.) (A Subsidiary of OpenText Corporation), Health Catalyst, Inc. (U.S.), AtScale (U.S.), CitiusTech Inc. (U.S.), and Cloudera, Inc. (U.S.).
In the fast-evolving field of data science, obtaining a Master’s degree is a crucial step toward honing the skills needed for success in this dynamic and competitive industry. Two popular destinations for pursuing a Master’s in Data Science are the United States and the United Kingdom, each offering unique advantages and characteristics. In this article, we’ll explore the key factors to consider when deciding between the US and the UK for your advanced degree in data science.
Master’s in Data Science programs in the US typically span two years, providing students with a comprehensive curriculum that covers a broad range of topics. The structure often includes a combination of coursework, hands-on projects, and opportunities for internships, allowing students to gain practical experience alongside theoretical knowledge.
In the UK, Master’s programs in Data Science are often one year in duration, providing an accelerated path to degree completion. The focused curriculum emphasizes core concepts and skills, offering a more concentrated learning experience. While the shorter duration can be appealing, it requires students to absorb a significant amount of material in a shorter time frame.
The US is home to many top-ranked universities renowned for their strong emphasis on research and academic excellence. Institutions such as Stanford University, Massachusetts Institute of Technology (MIT), and University of California, Berkeley, consistently rank high globally, providing students with access to world-class faculty and resources.
UK universities, including the University of Oxford, University of Cambridge, and Imperial College London, are globally recognized for their academic rigor. The UK’s commitment to research and innovation in data science is reflected in the quality of its programs and faculty. Many UK universities collaborate with industry partners to ensure the relevance of their curriculum.
The US, being a global hub for technology and innovation, offers unparalleled opportunities for networking and internships. Proximity to major tech companies in Silicon Valley, Seattle, and other tech hubs provides students with direct access to potential employers. Many US universities have strong industry connections, facilitating internships and job placements for graduates.
The UK boasts a thriving technology sector, particularly in cities like London and Manchester. Master’s programs often collaborate with industry partners, providing students with opportunities to engage in real-world projects and internships. While the industry landscape may be more compact compared to the US, UK programs focus on fostering strong connections with leading companies.
The US offers a diverse cultural experience with a vast and varied landscape. Students in the US have the opportunity to engage in a multicultural environment, contributing to a rich and vibrant academic experience. The cultural diversity extends beyond the campus, offering a broader perspective on global issues and fostering cross-cultural collaboration.
The UK, with its historical significance and cultural diversity, provides an enriching experience for international students. The proximity of European countries makes it easy for students to explore different cultures during their studies. The UK’s cultural richness is reflected in its arts, history, and global influence, providing a unique backdrop for academic pursuits.
Pursuing a Master’s in Data Science in the US can be more expensive, with tuition fees varying significantly between universities. However, the US offers a range of scholarships, grants, and funding opportunities for international students. Additionally, the potential for higher post-graduate salaries in the US tech industry may offset the initial investment.
While the UK generally has shorter program durations, tuition fees can still be substantial. However, the cost of living may be comparatively lower, and there are scholarship options available for international students. Graduates from UK programs often enter the job market sooner, potentially mitigating the financial investment.
In the decision between pursuing a Master’s in Data Science in the US or the UK, it ultimately comes down to personal preferences, career goals, and individual circumstances. The US offers a diverse and expansive academic environment with strong industry connections, while the UK provides an efficient and focused program structure with a rich cultural experience. Both countries have top-tier universities, and the choice depends on what aligns best with your educational and professional aspirations.
What are the key factors differentiating the industry connections and opportunities for Master’s in Data Science students between the United States and the United Kingdom?
The United States, as a global hub for technology and innovation, provides unparalleled opportunities for networking and internships. The proximity to major tech companies in Silicon Valley and other tech hubs gives students direct access to potential employers, and many US universities have strong industry connections facilitating internships and job placements. In the United Kingdom, particularly in cities like London and Manchester, there is a thriving technology sector. Master’s programs often collaborate with industry partners, offering students opportunities to engage in real-world projects and internships. While the industry landscape may be more compact compared to the US, UK programs focus on fostering strong connections with leading companies
The United States and the United Kingdom are both renowned for their strong data science ecosystems and offer a plethora of industry connections and opportunities for Master’s in Data Science students. However, there are some key factors that differentiate the two countries in this regard.
Industry concentration: The United States has a larger and more diverse tech industry, with a higher concentration of data science-focused companies, particularly in Silicon Valley and other major tech hubs. This leads to more opportunities for internships, networking, and job placement for Master’s in Data Science students.
Industry maturity: The data science industry in the United States is more mature and established, with a longer history of innovation and adoption. This means that companies are more likely to have well-defined data science roles and teams, providing clearer pathways for career advancement.
Industry collaboration: There is a strong culture of collaboration between academia and industry in the United States, with many universities partnering with tech companies for research projects and internships. This collaboration provides students with exposure to real-world data science problems and enhances their employability.
Industry diversity: The United States has a wider range of industries that utilize data science, from traditional sectors like finance and healthcare to emerging fields like autonomous vehicles and artificial intelligence. This diversity provides students with more options for career exploration and specialization.
Salary potential: Data science salaries in the United States are generally higher than in the United Kingdom, reflecting the stronger demand for data science professionals and the higher cost of living in major US tech hubs.
Global impact: Data science companies in the United States often have a global reach, providing students with opportunities to work on projects that impact the world on a large scale.
Industry specialization: The data science industry in the United Kingdom is known for its specialization in certain sectors, such as finance, healthcare, and retail. This specialization can provide students with deeper expertise in their chosen field.
Government support: The UK government has placed a strong emphasis on data science, providing funding for research and innovation. This support has fostered a vibrant data science ecosystem and created opportunities for students to work on government-funded projects.
International focus: The UK’s location in Europe and its strong ties to the European Union provide students with access to international opportunities and exposure to a diverse range of data science practices.
Ultimately, the choice between the United States and the United Kingdom for Master’s in Data Science students depends on individual preferences, career goals, and financial considerations. Both countries offer excellent opportunities for data science education, industry connections, and career advancement.