Big Data Analytics Market Massive Opportunity Opening Up
The big data analytics market is expected to reach approximately USD 683.18 Billion by the end of 2030 with approximately 13.6% CAGR during the forecasted period from 2022-2030.
Shraddha Nevase
The Big Data Analytics Market witnesses rapid growth. The accumulation of big data rising every minute with the rising adoption of connecting and wearable & sensors technology is major trends driving the market growth. Besides, rapid transformations and advancements in information technology foster market value.
With the rising demand for personalized and cost-effective big data management solutions across the burgeoning sectors, the market is projected to garner vast gains during the next few years. In this regard, Market Research Future (MRFR) states that the global big data analytics market is forecasted to reach a significant value of USD 683.18 Billion by 2030, growing at a 13.6% CAGR during the assessment period (2022-2030).
Click Here to Get Sample Premium Report @
https://www.marketresearchfuture.com/sample_request/4503
Big data analytics refers to the process of collecting, extracting, and analyzing large and complex data sets, often with the use of advanced data analysis techniques, such as machine learning and predictive analytics, in order to identify patterns, correlations and other insights. The data sets can be made up of structured, semi-structured, or unstructured data from both internal and external sources.
Big data analytics has become increasingly important in business, healthcare, finance, and other industries as it allows organizations to leverage data to make better, data-driven decisions. Organizations can use big data analytics to develop insights into customer behavior, market trends, and operational efficiency.
To perform big data analytics, organizations need to have the right tools and technologies in place, including data storage and processing systems, data analysis software, and skilled data analysts and scientists. Some popular technologies used in big data analytics include Hadoop, Spark, and NoSQL databases.
Overall, big data analytics is an important field that is rapidly growing and evolving. It has the potential to help organizations uncover valuable insights and gain a competitive advantage in their respective industries.
Additionally, the growing awareness of the importance of data collection, storage, and analysis boosts the market size, increasing the adoption of big data analytics extensively. The rising proliferation of IoT in different devices like sensors and the convergence of big data and IoT influences the market landscape, generating big data.
Big Data Analytics Market - Segments
The market is segmented into components, solutions, end-users, and regions. The component segment is sub-segmented into software and hardware. The solution segment is sub-segmented into fraud detection, risk management, customer analytics, content analytics, and others.
The end-user segment is sub-segmented into banking, discrete manufacturing, process manufacturing, government, telecommunication, insurance, transportation, utilities, and others. The region segment is sub-segmented into the Americas, Asia Pacific, MEA, Europe, and rest-of-the-world.
Big Data Analytics Market – Regional Analysis
North America dominates the global market for big data analytics. Rising investments in big data analytics and demand from banking sectors to simplify the operational processes drive the market growth. Besides, the large presence of key big data analytics providers and world-class infrastructure boosts the market size, offering the latest technologies.
Also, increasing product developments, policies by federal governments, and increased focus on big data management & analysis for better management support bolster the market shares. Additionally, the presence of IT companies and rapid expansion of businesses act as major driving forces.
Big Data Analytics Market – Competitive Analysis
The big data analytics market appears highly competitive with the presence of several large and small players operating in the market. Players operating in the market focus on optimized situational awareness for customers and ensure their mission success. To gain a larger competitive edge, these players invest heavily in R&D, global expansion, advanced technologies, and product launch.
Major Players:
Players leading the global big data analytics market include Teradata Corporation (US), IBM Corporation (US), VMware, Inc (US), SAP SE (Germany), Tableau Software (US), Oracle Corporation (US), Microsoft Corporation (US), Pentaho (US), Google Inc (US), Datameer (US), and Hewlett Packard Enterprise (US), among others.
Industry/Innovation/Related News:
Nov.18, 2021 --- CoinAnalyst Corp., a leading provider of AI-based, big data analytics platforms, announced its partnership with iVest+, the next-generation trading platform, to bring proprietary indicators to innovate trading platforms.
Browse Full Report Details @
https://www.marketresearchfuture.com/reports/big-data-analytics-market-4503
CoinAnalyst’s technology enables investors in the digital asset sector and other industries to access a custom dashboard. The company would provide Big Data and AI indicators to further enhance the already industry-leading trading platform of iVest.
Realted Reports:
About Market Research Future (MRFR):
Market Research Future (MRFR) is a global market research company that takes pride in its services, offering a complete and accurate analysis with regard to diverse markets and consumers worldwide. MRFR’s approach combines the proprietary information with various data sources to give an extensive understanding to the client about the latest key developments, expected events and also about what action to take based on these aspects.
Contact:
Market Research Future (Part of Wantstats Research and Media Private Limited)
99 Hudson Street, 5Th Floor
New York, NY 10013
United States of America
+1 628 258 0071 (US)
+44 2035 002 764 (UK)
Email: sales@marketresearchfuture.com
Website: https://www.marketresearchfuture.com
