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Market Leader - Top 10 Analytics Technologies Market


Business analytics is the practice of generating useful insights from a huge amount of business data (past and present) to predict future outcomes. The top 10 analytics technologies report studies the major analytics technologies, such as analytics as a service, streaming analytics, edge analytics, Data Lakes, social media analytics, predictive analytics, security analytics, high-performance data analytics, content analytics, and video analytics

International Business Machine (IBM) Corporation was founded in year 1911 and is headquartered in New York, U.S. with its noteworthy presence across 175 countries. IBM has adopted the strategy of new product launches to remain competitive in the big data and analytics arena. Furthermore, the company spends one third of the research’s spending on development of data, analytics, and cognitive computing technologies. In March 2016, IBM signed an agreement with the Italian government for Watson Health European Center of Excellence in Milan. IBM planned to invest up to USD 150 Million (€135 Million) to develop a new generation of data-driven healthcare applications and solutions using Watson Analytics. In February 2016, IBM announced an expansion of its cloud data services portfolio. This expansion included 25 additional services on the IBM Cloud. The purpose of this expansion was to help the developers build, deploy, and manage web & mobile applications and enable data scientists to discover hidden trends using data & analytics on the cloud. In February 2016, IBM announced a new technology, Quarks that has embedded streaming analytics with Internet of Things (IoT). This provides advanced analysis of data to get actionable insights, which in turn reduces the communication costs for companies. In September 2016, IBM launched servers that are designed to accelerate artificial intelligence, deep learning, and advanced analytics. With these new servers from IBM, the Linux server lineup leverages the OPENPOWER innovations in the sphere.

Oracle Corporation is one of the eminent IT conglomerates, which was founded in 1977 and is headquartered in California, U.S. The company diversifies its business operations into three major segments: software & cloud, hardware systems, and services. Oracle has been at the forefront in providing software for Enterprise Information Management (EIM) and cloud solutions. The company’s extensive portfolio of products and solutions include databases & relational servers, application development & decision support tools, and enterprise business applications. In September 2016, Oracle announced numerous innovations in its analytics offerings that give enterprises, a complete suite of cloud services to make maximum use of their data. The new Oracle cloud services enable businesses to fundamentally modify the way of generating insights from customers, algorithms, machines, and processes. Oracle has also adopted inorganic growth strategies such as mergers, acquisitions, partnerships, and collaborations to increase its market share in the analytics markets. In July 2016, Oracle acquired NetSuite Inc., a software company that offers software and services to manage businesses' operations and customer relations. The acquisition would help Oracle cash in on Netsuite’s solution to develop a single system for running a business on the cloud.

SAS Institute (U.S.) is a global provider of business analytics and services. It offers advanced analytics, BI & analytics, cloud analytics, customer intelligence, data management, decision management, fraud & security intelligence, solutions for Hadoop, in-memory analytics, performance management, risk management, and supply chain intelligence. The company's consistent focus on Research and Development (R&D) enables it to launch innovative products, which helps in increasing its revenue and market share. Over the last several years, SAS Institute has been focusing on enhancing its products and launching new innovative solutions through consistent R&D investments. In April 2016, SAS launched SAS Analytics for IoT, a package that applied its core expertise of analyzing huge amounts of data to IoT-connected sensors and devices. SAS Analytics for IoT analyzes rapidly moving data, which ultimately provides the information to make quicker decisions, based on analysis. SAS has also adopted inorganic growth strategies such as collaboration and strategic alliance. In December 2015, EY announced its strategic alliance with SAS. This collaboration integrated the cross-sector experience of key industry sectors and that of SAS’ analytical platform.

Related Reports:

Top 10 Analytics Technologies by Technology (Analytics-As-A-Service, Streaming Analytics, Edge Analytics, Data Lakes, Social Media Analytics, Predictive Analytics, Security Analytics, High-Performance Data Analytics, Content Analytics, and Video Analytics)

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