Big Data in the Financial Services Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts
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 financial services industry is no exception to this trend, where Big Data has found a host of applications ranging from targeted marketing and credit scoring to usage-based insurance, data-driven trading, fraud detection and beyond.
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Big Data investments in the financial services industry will account for nearly $9 Billion in 2018 alone. Led by a plethora of business opportunities for banks, insurers, credit card and payment processing specialists, asset and wealth management firms, lenders and other stakeholders, these investments are further expected to grow at a CAGR of approximately 17% over the next three years.
The “Big Data in the Financial Services Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of Big Data in the financial services industry including key market drivers, challenges, investment potential, application areas, use cases, future roadmap, value chain, case studies, vendor profiles and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services investments from 2018 through to 2030. The forecasts are segmented for 8 horizontal submarkets, 6 application areas, 11 use cases, 6 regions and 35 countries.
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Market Segment by Regions, regional analysis covers : Americas, United States, Canada, Mexico, Brazil, APAC, China, Japan, Korea, Southeast Asia, India, Australia, Europe, Germany, France, UK, Italy, Russia, Spain, Middle East & Africa, Egypt, South Africa, Israel, Turkey, GCC Countries.
Reasons to Purchase Big Data In The Financial Services Market Report:
Analysing the outlook of the Big Data In The Financial Services market with the recent trends and SWOT analysis.
Market dynamics scenario, along with growth opportunities of the Big Data In The Financial Services market in the years to come.
Big Data In The Financial Services Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and non-economic aspects.
Regional and country level analysis integrating the demand and supply forces that are influencing the growth of Big Data In The Financial Services market.
Big Data In The Financial Services Market value (USD Million) and volume (Units Million) data for each segment and sub-segment.
Competitive landscape involving the Big Data In The Financial Services market share of major players, along with the new projects and strategies adopted by players in the past 5 year.
Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major Big Data In The Financial Services market players.
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