Federal Priorities Spotlight: Big Data, 2018-2023
Published: October 31, 2018
Deltek’s Federal Priorities Spotlight: Big Data report analyzes the policies, trends, challenges and technology enablers influencing the federal big data market.
The need for the federal government to derive increased value from the vast amounts of data it collects is the driving force behind the growing demand for big data solutions. Data proliferation will continue, and agencies are under pressure to improve their ability to manage, process and use it. Congress, the administration and federal leaders have recognized the importance of data in their missions, issuing legislation and policies that highlight its importance, including the federal data strategy under the President’s Management Agenda. Agencies lack the internal expertise to leverage their own data, and are investing in services, such as analysis support, to more quickly gain value from existing data stores. Big data software, such as predictive analytics and visualization, are in high demand as well. In the long-term, agencies are developing strategies to modernize their IT infrastructure to not only maximize the use of existing data, but to serve as a foundation for emerging, data-reliant technologies, such as artificial intelligence and machine learning.
Deltek forecasts federal demand for vendor-furnished big data products and services will grow from $2.6 billion in FY 2018 to $3.5 billion in FY 2023 at a Compound Annual Growth Rate (CAGR) of 6.2%.
Critical Insight for Vendors
Deltek's Federal Priorities Spotlight: Big Data report takes a strategic look at federal agencies’ progress and investment in workforce mobility and citizen interaction in a mobile-facing environment.
The report provides:
Deltek's Federal Priorities Spotlight: Big Data report is delivered in PowerPoint® format, including a PowerPoint® Executive Briefing, and an Excel® data workbook.
Federal Priorities Spotlight: Big Data
Big Data Trends and Drivers
Big Data Spending Opportunities
Big Data Market Forecast
Conclusions and Recommendations