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Prescriptive Analytics Market SWOT Analysis, Business Growth Opportunities by Top Companies, Future Challenges, Competitive Strategies and Forecast to 2026

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Thomas Hinds
Prescriptive Analytics Market SWOT Analysis, Business Growth Opportunities by Top Companies, Future Challenges, Competitive Strategies and Forecast to 2026

Growth in number of connected devices in IoT, surge in demand for advanced and real-time analytics, and increase in need for prescriptive analytical models drive the prescriptive analytics market.

The report segments the prescriptive analytics market on the basis of solution, deployment model, user group, industry vertical, and geography. As per solution, the market is bifurcated into software and service. By deployment model, the market divided into on-premise and cloud. The study indicates that rising popularity of automated business decisions and massive investments done by various firms helps to expand the addressable market for prescriptive analytics. The increase in cyber-crime results in the huge data loss for an organization, influences the demand of prescriptive analytics.

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The major driver for Prescriptive Analytics Market is development in advanced technologies such as Internet of Thing (IoT) and big data and rising status of real time accessibility of data for effective business applications has powered the growth of prescriptive analytics market.

Key Market Players

Few of the companies in Robotic Process Automation (RPA) market are: International Business Machines Corporation, FICO, River Logic, Inc., Ayata, Angoss Software, Profitect, Frontline, Panoratio, TIBCO Software, and NGData.

The study is a source of reliable data on:

Market segments and sub-segments

Market trends and dynamics

Supply and demand

Market size

Current trends/opportunities/challenges

Competitive landscape

Technological breakthroughs

Value chain and stakeholder analysis

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The regional analysis covers:

North America (U.S. and Canada)

Latin America (Mexico, Brazil, Peru, Chile, and others)

Western Europe (Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, and Luxembourg)

Eastern Europe (Poland and Russia)

Asia Pacific (China, India, Japan, ASEAN, Australia, and New Zealand)

Middle East and Africa (GCC, Southern Africa, and North Africa)

Some Points from Table of Content:

Chapter 1.    Executive Summary

Chapter 2.    Research Methodology

2.1.    Research approach

2.2.    Scope, definition, and assumptions

2.3.    Data sources

Chapter 3.    Market Outlook

3.1.    Introduction

3.2.    Key trends

3.2.1.    Market drivers

3.2.2.    Market restraints

3.2.3.    Market opportunities

3.3.    Value chain analysis

3.4.    Porter’s Five Forces analysis

3.5.    PESTEL analysis

3.6.    Vendor landscape analysis, 2017

Chapter 4.    Global Prescriptive Analytics Market Overview, By Type

4.1.    Global Prescriptive Analytics market share, by type, 2017 & 2025

4.2.    Technology Used

4.2.1.    Market size and projections, 2015-2025

4.3.    Enterprise Type

4.3.1.    Market size and projections, 2015-2025

4.4.    Others

4.4.1.    Market size and projections, 2015-2025

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About Us:

Adroit Market Research is an India-based business analytics and consulting company incorporated in 2018. Our target audience is a wide range of corporations, manufacturing companies, product/technology development institutions and industry associations that require understanding of a market’s size, key trends, participants and future outlook of an industry. We intend to become our clients’ knowledge partner and provide them with valuable market insights to help create opportunities that increase their revenues. We follow a code– Explore, Learn and Transform. At our core, we are curious people who love to identify and understand industry patterns, create an insightful study around our findings and churn out money-making roadmaps.

Contact Info:

Ryan Johnson

Adroit Market Research

3131 McKinney Ave Ste 600,

Dallas, Texas – 75204, U.S.A

Phone No: +19723628199

Email: sales@adroitmarketresearch.com

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