Global Advanced Analytics Market report from Global Insight Services is the single authoritative source of intelligence on Advanced Analytics Market. The report will provide you with analysis of impact of latest market disruptions such as Russia-Ukraine war and Covid-19 on the market. Report provides qualitative analysis of the market using various frameworks such as Porters’ and PESTLE analysis. Report includes in-depth segmentation and market size data by categories, product types, applications, and geographies. Report also includes comprehensive analysis of key issues, trends and drivers, restraints and challenges, competitive landscape, as well as recent events such as M&A activities in the market.
Advanced analytics is a term for the sophisticated statistical and mathematical techniques used to examine data and draw conclusions from it. Data mining, predictive modeling, and machine learning are all forms of advanced analytics.
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Key Trends
There are four key trends in Advanced Analytics technology:
1. The use of artificial intelligence (AI) and machine learning (ML) to automate the analysis of data.
2. The use of big data to drive the analysis.
3. The use of predictive analytics to identify future trends.
Key Drivers
There are four key drivers of the advanced analytics market:
1. The increasing volume of data: With the proliferation of digital devices and the growth of the Internet of Things (IoT), organizations are now generating more data than ever before. This increase in data volume is driving organizations to adopt advanced analytics solutions to help them make sense of all this data.
2. The need for real-time insights: In today’s fast-paced business world, organizations need to be able to make decisions quickly.
Market Segments
By Type
- Big Data Analytics
- Predictive Analytics
- Customer Analytics
By Business Function
- Finance
- Human Resource
- Operations
- Supply Chain
By End-Use
- BFSI
- Healthcare
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Key Players
- Oracle
- Altair
- Microsoft
- IBM
- Adobe
- Teradata
- DataRobot
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