Prescriptive Analytics Market

The prescriptive analytics market size to grow from USD 4.9 billion in 2021 to USD 14.3 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 24.0% during the forecast period. Various factors such as increasing spending on marketing and advertising activities by enterprises, changing landscape of customer intelligence to drive the market, and proliferation of customer channels are expected to drive the adoption of prescriptive analytics solutions and services.

Prescriptive analytics is an advanced form of analytics, which comprehensively analyzes the data to determine the best possible outcomes among numerous choices under given parameters. This advanced technology combines tools and techniques, such as machine learning, artificial intelligence, mathematical sciences, and multiple computational modeling procedures to prescribe the next course of action that should be undertaken. The technology is capable of forecasting future scenarios, prescribing various outcomes that might arise with the passage of time. The prescriptive analytics technology utilizes both descriptive as well as predictive analytical algorithms to help businesses make quick and actionable decisions in near real-time. The much-anticipated self-driving cars are the best example of prescriptive analytical techniques that will drive the way into the future.

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Some of the key players operating in the prescriptive analytics market include IBM(US), Microsoft(US), Salesforce(US), SAP(Germany), SAS Institute(US), Talend(US), FICO(US), Ayata(US), Altair(US), Alteryx(US), Tibco(US), Sisense(US) and Infor(US). These prescriptive analytics vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the prescriptive analytics market.

International Business Machines (IBM) was incorporated in 1911 and is headquartered in New York, US. IBM is one of the leading American computer manufacturers and providers of cloud, cognitive security, research, analytics, consulting, IoT, and IT infrastructure. IBM operates through five segments: Cloud & Cognitive Software, Systems, Global Technology Services, Global Business Services, and Global Financing. The company manufactures and sells computer hardware and software, and offers infrastructure services, consulting services, and hosting services for mainframe computers and nanotechnology. It has a client base of more than 17,000 in more than 130 countries. Further, it has almost 8,000 subject matter experts and more than 3,000 researchers working in 12 labs located across six continents. For more than seven decades, IBM has been building industry-based solutions to real world problems with the help of Watson, its AI platform for business, redefining the future of information technology through its high-quality R&D.

SAS Institute was founded in 1976 and is headquartered in North Carolina, US. SAS is the global leader in business analytics software and services and is the largest independent vendor in the BI industry. SAS provides software applications including BI, data integration, fraud management, financial management, and IT management. Through innovative software and services, SAS empowers its customers to transform data into business intelligence.

Fair Issac Corporation (FICO) is another leading analytics software company founded in 1956, in California, US. The company operates in more than 90 countries, helping customers make better decisions and attaining a higher level of growth and customer satisfaction. It offers a wide range of products, including Fico Debt Manager Solution, Fico Falcon Fraud Manager, Fico Engagement Analyzer, Fico Blaze Advisor Decision Rules Management Systems, Fico Score, Fixo Decision Management Suite, Fico Score Open Access, and Fico Xpress Optimization Suite. FICO operates in various industries, including financial services, health care, insurance, automotive, public sector, retail, pharmaceuticals, telecommunications, travel and hospitality, media and entertainment, and high tech and utilities.

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