Kenneth Research, in its repository of market research reports, has recently added a report on Big Data Analytics in Banking Market that emphasizes the latest trends, key opportunities, drivers, and challenges associated with the growth of the market during the forecast period, i.e., 2022 – 2031. The Big Data Analytics in Banking Market is anticipated to grow primarily on account of the growing trade of ICT goods and services worldwide. According to the statistics by the World Bank, the exports of ICT goods globally increased from 11.164% of total goods exports in 2017 to 11.53% of total goods exports in 2019.
U.S. Market recovers fast; In a release on May 4th 2021, the U.S. Bureau and Economic Analsysis and U.S. Census Bureau mentions the recovery in the U.S. International trade in March 2021. Exports in the country reached $200 billion, up by $12.4 billion in Feb 2021. Following the continuous incremental trend, imports tallied at $274.5 billion, picked up by $16.4 billion in Feb 2021. However, as COVID19 still haunts the economies across the globe, year-over-year (y-o-y) avergae exports in the U.S. declined by $7.0 billion from March 2020 till March 2021 whilest imports increased by $20.7 billion during the same time. This definitely shows how the market is trying to recover back and this will have a direct impact on the Healthcare/ICT/Chemical industries, creating a huge demand for Big Data Analytics in Banking Market products.
The Final Report will cover the impact analysis of COVID-19 on this industry:
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The Big Data Analytics in Banking Market in North America is anticipated to grow significantly owing to the presence of several key players in the region, along with the increasing need of the organizations in the nation to run on a strong ICT infrastructure.
Big Data analytics is an expanding technology which has application in diverse segments of the business world. It involves usage of some advanced statistical and mathematical models such as data mining, artificial intelligence and predictive analysis. In the report, the market outlook section mainly encompasses fundamental dynamics of the market which include drivers, restraints, opportunities and challenges faced by the industry. Drivers and Restraints are intrinsic factors whereas opportunities and challenges are extrinsic factors of the market.
Factors such as increasing need for real time monitoring of data generated by banks, growing adoption rate of Internet of Things (IoT) along with growing need for security of data have been driving the global big data analytics market. On the other hand, lacking awareness of the various benefits of big data solutions in banking sector as well as government rules & regulations might hamper the overall market at a global level.
Verified Market Research narrows down the available data using primary sources to validate the data and use it in compiling a full-fledged market research study. The report contains a quantitative and qualitative estimation of market elements which interests the client. The “Global Big Data Analytics in Banking Market” is mainly bifurcated into sub-segments which can provide a classified data regarding latest trends in the market. This can be of a great use in gaining knowledge about the cutting-edge technologies in the market.
Global Big Data Analytics in Banking Market Competitive Landscape
The “Global Big Data Analytics in Banking Market” study report will provide a valuable insight with an emphasis on global market including some of the major players as given below:
• IBM
• Oracle
• SAP SE
• Microsoft
• HP
• Amazon AWS
• Google
• Hitachi Data Systems
• Tableau
• New Relic
• Alation
• Teradata
• VMware
Our market analysis also entails a section solely dedicated for such major players wherein our analysts provide an insight to the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share and market ranking analysis of the above mentioned players globally.
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Global Big Data Analytics in Banking Market Segmentation, by Type
• On-Premise
• Cloud
Global Big Data Analytics in Banking Market Segmentation, by Application
• Feedback Management
• Fraud Detection and Management
• Customer Analytics
• Social Media Analytics
• Others
Global Big Data Analytics in Banking Market Geographic Scope
• North America
o U.S.
o Canada
o Mexico
• Europe
o Germany
o UK
o France
o Rest of Europe
• Asia Pacific
o China
o Japan
o India
o Rest of Asia Pacific
• Latin America
o Brazil
• Rest of the World
The Final Report will cover the impact analysis of COVID-19 on this industry:
Download Sample of This Strategic Report:
https://www.kennethresearch.com/sample-request-10070441
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• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
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• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking and SWOT analysis for the major market players
• The current as well as future market outlook of the industry with respect to recent developments (which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes an in-depth analysis of the market of various perspectives through Porter’s five forces analysis
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