Predictive Analytics Market

Market Overview:

The global predictive analytics market is expected to exhibit a CAGR of 22.1% during 2022-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries.  These insights are included in the report as a major market contributor.

Predictive analytics stands for a branch of advanced analytics that predicts the likelihood of future events by analyzing historical and current data. It utilizes various statistical techniques to analyze data, such as data mining, machine learning, big data, and artificial intelligence. Predictive analytics helps in reducing financial risks, detecting frauds, improving marketing campaigns, enhancing business efficiency, and providing a better customer experience. As a result, it is widely adopted across diverse sectors, including telecom, IT, retail, healthcare, manufacturing, government, energy, transportation, media and entertainment, etc.

The rising trend of automation across several industries has propelled the adoption of predictive analytics to evaluate large data volumes and predict future scenarios with high revenue-generating potential. Furthermore, intensive business competition is also augmenting the demand for predictive insights to deploy robust business strategies and enhance decision-making in real-time. Additionally, the expanding e-commerce sector coupled with the rising inclination of online retailers towards customer analytics solutions, is further catalyzing the market growth. Predictive analytics in the e-commerce sector enables retailers to perform real-time analysis of consumer shopping behavior and provides numerous personalized experiences to improve customer retention. The increasing penetration of e-commerce platforms has also propelled the demand for enhanced logistics and warehousing services that deploy supply chain analytics on a real-time basis. Additionally, the rising digitalization levels in the BFSI sector to enhance numerous regulatory compliance processes, such as credit risk management, capital planning, and insurance risk management, are further augmenting the demand for predictive analytics. Apart from this, the increasing penetration of advanced technologies, such as AI, data mining, augmented and virtual reality, big data, machine learning, etc., is also bolstering the adoption of predictive analytics. In the coming years, the growing deployment of cloud-based predictive solutions providing faster data processing and enhanced flexibility in business operations is expected to drive the global market for predictive analytics.

The outbreak of the COVID-19 pandemic in early 2020, has positively influenced the market for predictive analytics. Several businesses are getting inclined towards predictive analytics to study the pandemic effect on consumer behavior, products and pricing, and supply chains, thereby creating workforce, production, and service-based business strategies, accordingly. Additionally, the healthcare sector is leveraging predictive analytics to evaluate pandemic risks, estimated number of infected cases, and potential impact on the resources.

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each sub-segment of the global predictive analytics market, along with forecasts at the global, regional and country level from 2022-2027. Our report has categorized the market based on business function, solution, service, deployment, organization size and end use industry.

Breakup by Business Function:

• Marketing
• Sales
• Finance
• Human Resource
• Operations
• Others
   

Breakup by Solution:

• Customer Analytics
• Financial Analytics
• Marketing and Sales Analytics
• Network Analytics
• Risk Analytics
• Supply Chain Analytics
• Web and Social Media Analytics
• Operations Management
• Workforce Management
• Others
   

Breakup by Service:

• Deployment/Installation
• Training and Consulting
• Support and Maintenance
   

Breakup by Deployment:

• Cloud-based
• On-premises
   

Breakup by Organization Size:

• Small and Medium Enterprises
• Large Enterprises
   

Breakup by End Use Industry:

• Banking, Financial Services and Insurance
• Telecommunication and IT
• Retail and E-Commerce
• Healthcare and Life Science
• Manufacturing
• Government and Defense
• Energy and Utility
• Transport and Logistics
• Media and Entertainment
• Others
   

Breakup by Region:

• North America
  • United States
  • Canada
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
• Latin America
  • Brazil
  • Mexico
  • Others
• Middle East and Africa
   

Competitive Landscape:

The competitive landscape of the industry has also been examined with some of the key players being International Business Machines Corporation, Oracle Corporation, SAP SE, Microsoft Corporation, SAS Institute Inc., Fair Isaac Corporation (FICO), NTT Data Corporation (Nippon Telegraph and Telephone CORPORATION), Tableau Software LLC (Salesforce.com.Inc), Tibco Software Inc., RapidMiner Inc. and Altair Engineering Inc.

Report Coverage: