<![CDATA[Big Data]]> https://www.leadingmarketresearch.com/information-technology-services/big-data Thu, 07 May 2026 21:55:26 +0000 Zend_Feed http://blogs.law.harvard.edu/tech/rss <![CDATA[The Big Data Market: 2018 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts]]> https://www.leadingmarketresearch.com/the-big-data-market-2018-2030-opportunities-challenges-strategie “Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems. Amid the proliferation of real-time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D. Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Telecom & IT estimates that Big Data investments will account for over $65 Billion in 2018 alone. These investments are further expected to grow at a CAGR of approximately 14% over the next three years. The “Big Data Market: 2018 – 2030 – Opportunities, Challenges, ...
$2,500.00
]]> Mon, 25 Mar 2019 14:57:03 +0000 <![CDATA[Big Data in the Automotive Industry: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts]]> https://www.leadingmarketresearch.com/big-data-in-the-automotive-industry-2017-2030-opportunities-chall “Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems. Amid the proliferation of real-time and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors. The automotive industry is no exception to this trend, where Big Data has found a host of applications ranging from product design and manufacturing to predictive vehicle maintenance and autonomous driving. SNS Research estimates that Big Data investments in the automotive industry will account for over $2.8 Billion in 2017 alone. Led by a plethora of business opportunities for automotive OEMs, tier-1 suppliers, insurers, dealers...
$2,500.00
]]> Mon, 25 Mar 2019 14:57:03 +0000 <![CDATA[The Big Data Market: 2017 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals and Forecasts]]> https://www.leadingmarketresearch.com/the-big-data-market-2017-2030-opportunities-challenges-strategie “Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems. Amid the proliferation of real-time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D. Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for over $57 Billion in 2017 alone. These investments are further expected to grow at a CAGR of approximately 10% over the next three years. The “Big Data Market: 2017 – 2030 – Opportunities, Challenges, Stra...
$2,500.00
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