Data Science and Predictive Analytics Market

Data Science and Predictive Analytics Market Overview

The report is titled as ‘Data Science and Predictive Analytics Market: Opportunity Analysis and Future Assessment 2022-2030’. An overview of conceptual frameworks, analytical approaches of the Data Science and Predictive Analytics Market is the main objective of the report, which further consists the market opportunity and insights of the data involved in the making of the respective market.

The global data science and predictive analytics market is estimated to reach at a value of US$ 11.5 Bn by the end of 2022 and expected to reach at a value of US$ 48.5 Bn by 2030 with a significant CAGR of 19.7%.

Reports & Insights Overview

The non-identical approach of Reports and Insights stands with conceptual methods backed up with the data analysis. The novel market understanding approach makes up the standard of the assessment results that give better opportunity for the customers to put their effort.

A research report on the Data Science and Predictive Analytics Market by Reports and Insights is an in-depth and extensive study of the market based on the necessary data crunching and statistical analysis. It provides a brief view of the dynamics flowing through the market, which includes the factors that supports market and the factors that are acting as impedance for the growth of the market. Furthermore, the report includes the various trends and opportunities in the respective market in different regions for a better understanding of readers that helps to analyze the potential of the market.

Data Science and Predictive Analytics Market Segmentation

The global data science and predictive analytics market is segmented on the basis of component, deployment mode, organization size, vertical, and region

By Component

Solutions

Financial Analytics

Risk Analytics

Marketing Analytics

Sales Analytics

Customer Analytics

Web and Social Media Analytics

Supply chain Analytics

Network Analytics

Services

Professional Services

Consulting

Deployment and Integration

Support and Maintenance

Managed Services

By Deployment Mode

Cloud

On-premises

By Organization Size

Large enterprises

Small and medium-sized enterprises (SMEs)

By Vertical

BFSI

Manufacturing

Retail and eCommerce

Government and Defense

Healthcare and Life Sciences

Energy and Utilities

Telecommunications and IT

Transportation and Logistics

Media and Entertainment

Travel and Hospitality

Other Verticals

By Region

North America

Latin America

Europe

Asia Pacific

Middle East

Africa

Data Science and Predictive Analytics Market Key Players

Some of the key participating players in global data science and predictive analytics market are:

IBM

Microsoft

Oracle

SAP

SAS Institute

Google

Salesforce

AWS

HPE

Teradata

Alteryx

FICO

Altair

Domo

Cloudera

Board International

TIBCO Software

Hitachi Vantara

Qlik

Happiest Minds

Dataiku

RapidMiner

Biofourmis

In-med Prognostics

Aito.Ai

Symend

Onward Health

Unioncrate

CyberLabs

Actify Data Labs

Amlgo Labs

Verimos

Factors that are benchmarked while estimating the market

Various factors that are benchmarked while estimating the market growth includes (but not restricted to):

New product designs and launches

Current product compliance

Reimbursement

Concerns for use of data science and predictive analytics

Advantages of data science and predictive analytics

Actions taken by the manufacturer and respective regulatory authorities also impact the market growth of the segment. These factors are understood at regional level and in major countries globally for providing regional insights of the product segment in the report. This helps our clients to take informed decisions.

A mix of top-down and bottom-up approach is followed to arrive and validate our market value estimations. For a product segment like wherein one/two manufacturer(s) dominates the market, it’s product sales, previous growth rates and market expansion plans are considered to generate market share in the market.