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Predictive Analytics Market Size - Industry Analysis Report, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2024 – 2032

  • Report ID: GMI1731

Predictive Analytics Market Size

Predictive Analytics Market size is expected to register significant growth between 2024 and 2032, due to the increasing number of partnerships and enhancements in services by industry leaders. These collaborations foster innovation, expanding the capabilities of predictive analytics tools and platforms. 

For instance, in March 2024, Utilizing Microsoft Fabric, Aurizon, Australia's largest freight rail operator, announced that it is advancing its predictive analytics and optimization objectives. Aurizon is reimagining its analytics platform over a three-year modernization project, merging enterprise and operational data with real-time sensor data. This consolidation aimed to maximize the value derived from data by enabling resource allocation optimization, locomotive monitoring, supply chain visibility, energy efficiency, predictive maintenance, and sustainability targets. Through its partnership with Microsoft, Aurizon participates in the Microsoft Fabric preview program, collaborating with experts to develop enhanced data warehousing, predictive analytics, and analytics use cases.

Leading companies are continuously improving their offerings by incorporating advanced algorithms and enhancing user experience to meet evolving customer needs. This concerted effort to deliver more robust and efficient predictive analytics solutions is driving market growth, as businesses across various sectors seek to leverage data-driven insights for informed decision-making.

The predictive analytics market is experiencing a surge in demand driven by the growing adoption of predictive analysis by companies across various industries. With an increasing awareness of the benefits of data-driven decision-making, businesses are incorporating predictive analytics to gain insights into future trends, behaviors, and outcomes. By leveraging advanced algorithms and machine learning techniques, organizations can enhance their strategic planning, optimize operations, mitigate risks, and personalize customer experiences.

This trend underscores the growing importance of predictive analytics as a valuable tool for driving business success in today's competitive landscape. For instance, in October 2023, Amazon QuickSight introduced support for predictive analytics through machine learning (ML) models crafted in Amazon SageMaker Canvas, eliminating the need for coding. QuickSight authors could seamlessly transfer data to SageMaker Canvas, develop ML models, and reintegrate them into QuickSight for analysis. This advancement empowered users to construct predictive dashboards for enhanced insights.

Despite its growth, the predictive analytics market faces several constraints. Challenges include data privacy concerns, as predictive models rely heavily on large datasets, raising confidentiality and compliance issues. Additionally, there's a shortage of skilled data scientists proficient in developing and interpreting predictive models, limiting adoption. Complex implementation processes and high initial costs also deter smaller enterprises. Furthermore, inaccuracies in predictive models can lead to flawed decision-making, undermining trust in the technology. These restraints highlight the need for robust data governance frameworks and continuous improvement in predictive analytics methodologies.

Predictive Analytics Market Trends

The predictive analytics industry is experiencing a notable trend owing to the increasing reliance of businesses on predictive analytics. As companies recognize the value of data-driven decision-making, they are leveraging predictive analytics to anticipate future trends, behaviors, and outcomes. By analyzing historical and real-time data, organizations can gain actionable insights to optimize operations, mitigate risks, and personalize customer experiences. This growing adoption underscores the pivotal role of predictive analytics in driving strategic initiatives and fostering innovation across various industries, fueling market expansion.

Citing an instance, in August 2023, P&G announced that it is harnessing IoT and predictive analytics to enhance the quality of Pampers diapers. Through collaboration with Microsoft IoT and edge analytics, the consumer goods leader captured real-time manufacturing data to preempt potential issues before they affect product integrity. Jeff Krietemeyer, IT Senior Director of Global Baby Care Services & Solutions at Procter & Gamble, highlighted the company's proactive approach to identifying and resolving costly manufacturing challenges, particularly those affecting diaper production. 

Predictive Analytics Industry Analysis

Based on deployment mode, the predictive analytics industry from the on-premises segment will witness robust progress from 2024 to 2032, owing to the increasing preference for cloud-based infrastructure to offer enhanced data security, storage, and privacy. These deployment models are increasingly adopted to offer improved data protection. Rising penetration in the semiconductor industry and the thriving need for effective functioning of data centers and servers will drive the industry prospects.

Predictive analytics market from the BFSI sector will expand considerably through 2032, led by growing government support to secure sensitive national security and personal data and escalating demand for advanced financial analytics solutions. Predictive analytics assist banks in optimizing their collection processes and tracking patterns of in-and-out payments in branches and ATMs to draw up a dashboard. Advantages such as fraud detection and customer engagement & targeting are other factors burgeoning the market demand.

North America predictive analytics market will depict sizable growth up to 2032, driven by higher awareness about various predictive analytics measures in the region. The strong presence of numerous solution providers, particularly in Canada and the US, has made way for increasing technological innovations. The rising number of R&D activities to support the development of new techniques and methods is another major trend fueling industry growth. Additionally, stringent regulatory requirements in industries like healthcare and finance propel the adoption of predictive analytics for compliance and risk management purposes. These factors contribute to the sustained market growth in North America.

Predictive Analytics Market Share

Major companies operating in the predictive analytics industry competitive landscape include:

  • Microsoft Corporation
  • FICO
  • Tibco Software
  • Alteryx
  • IBM Corporation
  • Oracle
  • SAP
  • SAS Institute
  • Dell
  • RapidMiner (Altair)

Predictive Analytics Industry News

·       In December 2023, Fair Isaac, the renowned US data and analytics firm commonly referred to as FICO, introduced its cloud-based platform in India. Early adopters such as HDFC Bank, Axis Bank, and AU Small Finance Bank from the Indian banking sector were poised to enhance customer satisfaction and foster innovation. The FICO Platform offered a range of sophisticated decision-making and artificial intelligence features specifically designed to empower local enterprises, signaling a significant advancement in the Indian business landscape.


What Information does this report contain?

Historical data coverage: 2018 to 2023; Growth Projections: 2024 to 2032.
Expert analysis: industry, governing, innovation and technological trends; factors impacting development; drawbacks, SWOT.
6-7 year performance forecasts: major segments covering applications, top products and geographies.
Competitive landscape reporting: market leaders and important players, competencies and capacities of these companies in terms of production as well as sustainability and prospects.
Authors: Preeti Wadhwani

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