Prescriptive Analytics Market Research Report- Global Forecast 2030

Prescriptive Analytics Market Research Report Information By Component (Service, Software), By Application (Operation Management, Revenue Management, SCM, Others), By Deployment (On Demand, On Premise), By Organization (SME, LBU), By Business Sector (HR, Marketing, Finance, Operation), By Vertical (BFSI, Healthcare, IT/ Telecom, Manufacturing, Government) And By Region (North America, Europe, Asia-Pacific, and Middle East & Africa, South America) - Forecast Till 2030

ID: MRFR/ICT/1947-HCR | 100 Pages | Author: Shubham Munde | May 2023         

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Prescriptive Analytics Market Overview

Prescriptive Analytics Market Size was valued at USD 5.19 billion in 2022. The Prescriptive Analytics market industry is projected to grow from USD 5.50 Billion in 2023 to USD 22.30 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 19.1% during the forecast period (2023 - 2030).

Prescriptive analytics is a system that uses analytics methods including descriptive, diagnostic, and predictive analytics to suggest potential outcomes for a given circumstance. Descriptive predictive and prescriptive analytics typically offers insights such as data on potential outcomes, prior results, and available resources and suggests a course of action or strategy that must be implemented or changed.
Prescriptive Analytics Market Overview

Prescriptive Analytics Market Trends

Increasing Application of Real Time Data for Business Operation

Every corporation focusing on its business expansion in the cutthroat market must use data-driven decision-making. Real-time data accessibility aids firms in processing and analyzing data, which is then utilized to produce regular strategies for improving corporate performance and to gain an advantage over rivals.

Additionally, businesses are utilizing the advantages of business intelligence and analytical tools more and more, not only to gather perspectives but also to drive strategic decision-making in real-time. Prescriptive data analysis employs ML and AI to identify and suggest an action or collection of activities that can be utilized to control potential future circumstances. The best example of prescriptive model in action is Amazon, which uses user data to suggest related products to customers based on their prior purchases.

real-time accessibility of data has become increasingly popular in recent years due to the benefits it brings to businesses. In today's fast-paced business environment, companies require immediate access to accurate and relevant information in order to make informed decisions, respond to changing market conditions, and improve operational efficiency.

Additionally, by having real-time data access, companies can monitor key performance indicators, track inventory levels, and monitor customer behavior in real-time, allowing them to make informed decisions and respond quickly to changes. This helps to reduce the time and resources needed for manual data collection and analysis, and allows organizations to respond more quickly to business opportunities and challenges.

Moreover, real-time data access can also help to improve collaboration and communication within an organization. By having immediate access to the latest information, teams can work more closely together and make decisions more effectively, leading to improved productivity and better results.

Overall, the rise in popularity of real-time data accessibility is driven by the need for businesses to be more agile and efficient in order to stay competitive in today's rapidly changing business landscape.

Prescriptive Analytics Market Segment Insights

Prescriptive Analytics Application Insights

During the anticipated time, the supply chain management segment is anticipated to be the largest. The various organizational verticals, including discount, retail, assembling, and others, implement supply chain solutions. Solutions for supply-chain management assist in managing stock arrangements across all industries. The association generates a significant amount of data from the time that natural material is acquired until it is sent to the assembly. The board segment of the prescriptive analytics market will become more interested in supply chain management in order to reduce costs and increase association benefits.

In August 2021:
Sisense released the newest Sisense Q2 2021, enabling businesses to create extendable insights, explore the newest capabilities, discover new dimensions with Sisense Explanations, and incorporate photos into pivot tables.

In May 2021:
SAS has announced plans to strengthen its data and analytics capabilities by integrating new data management solutions into its SASViya platform, which is built for cloud-based operations. This move is aimed at providing a solid foundation for successful data and analytics operations and helping customers maximize the value of their data.

Prescriptive Analytics Region Insights

Prescriptive analytics market share in North America was the largest in 2022 and is expected to hold this position during the forecast period. The increase in demand for analytical marketing solutions and the widespread use of analytical framework among businesses in this sector are related to this. In addition, the large number of competitors operating in this area contributes to the market's growth in North America. Additionally, North American nations' highly developed IT infrastructure has facilitated a widespread use of prescriptive data analytics tools by regional enterprises.

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

Prescriptive Analytics Key Market Players & Competitive Insights

The market has a large number of important companies. Due to the market's high CAGR and lucrative revenue sources, they are entering it. This is true despite the fact that substantial entry barriers are created by hefty research and development expenditures. Businesses are surviving by making greater investments in R&D, forming alliances, mergers, and acquisitions, as well as by introducing new, more cutting-edge products and services.

In the market for prescriptive analytics, Ayata is a significant American competitor.  By entering the prescriptive analytics industry with new solutions, it is maintaining its competitive edge. The company utilizes cutting-edge technology and draw inspiration from the Central Nervous System of the human body (CNS.) Its products and services forecast potential future situations and their expected results using a combination of structured and unstructured data.

Key Companies in the Prescriptive Analytics market includes

  • FICO (U.S.)

  • Ayata (U.S.)

  • IBM Corporation (U.S.)

  • River Logic, Inc. (U.S.)

  • Angoss Software (U.S.)

  • Frontline (U.S.)

  • Profitect (U.S.)

  • Panoratio (Germany),

  • TIBCO Software (U.S.)

  • NGData (Belgium)

Prescriptive Analytics Industry Developments

In March 2021:

IBM launched Cloud Satellite, which provides cloud services to its clients everywhere. Clients can use this to automate cloud native service deployment and management for both development and operations, which will increase company agility.

In November 2020:

IBM introduced 5G and Edge Computing in order to enable businesses move computation and data storage closer to the data source and make it even simpler for enterprises to act on the insights derived from the data.

Prescriptive Analytics Market Segmentation

Prescriptive Analytics Component Outlook

  • Software

  • Services

Prescriptive Analytics Application Outlook

  • Operation Management

  • Revenue Management

  • SCM

  • Others

Prescriptive Analytics Deployment Outlook

  • On Demand

  • On Premise

Prescriptive Analytics Organization Outlook

  • SME

  • LBU

Prescriptive Analytics Business Sector Outlook

  • HR, Marketing

  • Finance

  • Operation

Prescriptive Analytics Vertical Outlook

  • BFSI

  • Healthcare

  • IT/ Telecom

  • Manufacturing

  • Government

Prescriptive Analytics Regional Outlook

  • North Americas

    • U.S.

    • Canada

  • Europe

    • Germany

    • France

    • UK

    • Italy

    • Spain

    • Rest of Europe

  • Asia-Pacific

    • China

    • Japan

    • India

    • Australia

    • South Korea

    • Australia

    • Rest of Asia-Pacific

  • Rest of the World

Report Scope:

Report Attribute/Metric Details
Market Size 2022 USD 5.19 billion
Market Size 2023 USD 5.50 billion
Market Size 2030 USD 22.30 billion
Compound Annual Growth Rate (CAGR) 19.12% (2023-2030)
Base Year 2022
Forecast Period 2023-2030
Historical Data 2019 & 2021
Forecast Units Value (USD Billion)
Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered Component, Application, Deployment, Organization, Business Sector, Vertical and Region
Geographies Covered North America, Europe, Asia Pacific, and Rest of the World
Countries Covered U.S., Canada, Germany, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea.
Key Companies Profiled FICO (U.S.), Ayata (U.S.), IBM Corporation (U.S.), River Logic, Inc. (U.S.), Angoss Software (U.S.), Frontline (U.S.), Profitect (U.S.), Panoratio (Germany), TIBCO Software (U.S.), NGData (Belgium)
Key Market Opportunities The rising usage of Big Data and the Internet of Things (IoT).
Key Market Dynamics Increasing Application of Real Time Data for Business Operation

Frequently Asked Questions (FAQ) :

The Prescriptive Analytics Market size was valued at USD 5.19 Billion in 2022.

The market is projected to grow at a CAGR of 19.1% during the forecast period, 2023-2030.

The key players in the market are FICO, Ayata, IBM Corporation, River Logic, Inc., Angoss Software, Frontline, Profitect, Panoratio, TIBCO Software, NGData.

The HR, Marketing, Finance, Operation had the largest share in the market.

Key Questions Answered

  • ✅ Global Market Outlook
  • ✅ In-depth analysis of global and regional trends
  • ✅ Analyze and identify the major players in the market, their market share, key developments, etc.
  • ✅ To understand the capability of the major players based on products offered, financials, and strategies.
  • ✅ Identify disrupting products, companies, and trends.
  • ✅ To identify opportunities in the market.
  • ✅ Analyze the key challenges in the market.
  • ✅ Analyze the regional penetration of players, products, and services in the market.
  • ✅ Comparison of major players’ financial performance.
  • ✅ Evaluate strategies adopted by major players.
  • ✅ Recommendations
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