Big Data & Data Analytics Market in Homeland Security and Public Safety: 2017-2022

LONDON, April 5, 2017 /PRNewswire/ -- The Global Market for Big Data and Data Analytics in Homeland Security and Public Safety is Forecast to Reach $11B in 2022

The "Big Data & Data Analytics, Homeland Security & Public Safety: Global Market 2017-2022" report forecasts that this industry's revenues will grow at a 2015-2022 CAGR of 17.5%, reaching $11 Billion by 2022.The use of big data and data analytics by Homeland Security, Public Safety organizations and intelligence agencies is on the rise, mostly because the world is becoming more digital and connected.

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This is creating new opportunities, not only for data collection and storage, but also for intelligence processing, exploitation, dissemination, and analysis. Big data and data analytics technologies can increase the investigative capabilities of intelligence organizations in many relevant aspects, including: war on crime & terror, defense from cyber-attacks, public safety, disaster and mass incident management, and development of predictive capabilities. All fields of Intelligence benefit from big data growth including Osint Market, Sigint Market, Cyber defense activities, financial investigations

We forecast that the big data and data analytics in Homeland Security and Public Safety market in Asia Pacific and Europe to grow rapidly, with CAGR in the low 20s, especially due to the Chinese and Western European markets.

The global big data Market in Homeland Security and Public Safety market are boosted by the following drivers:
- The increased use of smartphones, wearables, and other smart connected devices (cars, machines, IoT, etc.), which will continue to create enormous amounts of information that Homeland Security and Public Safety organizations can use to their advantage, mostly in Sigint (signal intelligence) related activities.
- Technological advancements in data collection, storage, analytics, and visualization, which will allow organizations to increase the amount of data they generate, as well as to produce more actionable intelligence to support real-time decision making.
- Increased investment in data analysis and visualization capabilities by Homeland Security and Public Safety organizations, which act as a major catalyst for the implementation of big data and data analytics solutions.
- The adoption of cloud technology by governmental agencies, which will also act as a stimulus towards analytics implementation. Given that most organizations do not have the in-house infrastructure to support big data analytics, several of them must turn to cloud solutions, which will make the use of data analytics easier.
- The cost of data storage, which continues to decrease and encourage a move to the cloud.
- The growing generation of data-aware and data professionals – HLS data scientists.
- The rise of state-of-the-art attack technologies (e.g., cyber-warfare, encrypted communication, cyber-crime, chemical warfare agents, and GPS jammers) as well as other advanced techniques employed by terror organizations (such as, ISIS and state-sponsored terror groups) and other 21st century criminals, which make it harder for Homeland Security and Public Safety organizations to track them down. Big data and daa analytics is one of the preferred ways to deal with this new reality.

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