Global Predictive Analytics Software Market Overview:
Predictive analytics software utilities big data, machine learning and statistical algorithm in tandem to predict the future scope based on historical data and statistics. The software offers unique platform for enterprises to identify future trends and act accordingly. This data mining software helps to determine customer purchasing behavior thus, an opportunity to help retain their profitable customers.
Growth Drivers
- Growing Adoption of Predictive Analytics in Order to Forecast Future Market Trends
- Rising Big Data and Related Technologies
Market Trends
- Integration of Services with Cloud
- Growing Use of Texts in Predictive Models
Roadblocks
- Issue Related with Accuracy of Data
- Varying Data Protection Rule in Different Countries
Opportunities
- Emergence of Machine Learning and AI
- Advancement in Analytics Tools Leads to Rise in Adoption
Challenges
- Security and Privacy Related Concern
- Inability to Understand Human Behavior
Competitive Landscape:
Some of the key players profiled in the report are Anodot [Israel], Sisense [United States], The MathWorks [United States], MicroStrategy [united States], Alteryx [United States], Radius [United States], Maroon.ai [United States], SAS Institute [United States], GMDH [United States] and Alpha7 [Singapore]. Additionally, following companies can also be profiled that are part of our coverage like IBM [United States], SAP [Germany], Microsoft [United States], FICO [United States], RapidMiner [United States], Angoss Software [Canada], Tableau Software [United States], Alteryx [United States], Domino Data lab [United States], Dataiku [United States] and Exago [United Sttaes]. Analyst at AMA Research see United States Players to retain maximum share of Global Predictive Analytics Software market by 2026. Considering Market by Industry Vertical, the sub-segment i.e. Retail and eCommerce will boost the Predictive Analytics Software market. Considering Market by Deployment Model, the sub-segment i.e. On-premises will boost the Predictive Analytics Software market.
What Can be Explored with the Predictive Analytics Software Market Study
Gain Market Understanding
Identify Growth Opportunities
Analyze and Measure the Global Predictive Analytics Software Market by Identifying Investment across various Industry Verticals
Understand the Trends that will drive Future Changes in Predictive Analytics Software
Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals
Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Predictive Analytics Software market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Predictive Analytics Software market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Service providers and distributors, Predictive Analytics application builders, Independent Software Vendors (ISVs), Analytics consulting companies, Enterprises, End-users and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.