Global Predictive Analytics Market

Predictive Analytics Market Size, Share, Growth Analysis, By Service(Training & Consulting, Deployment/Installation, Support & Maintenance), By Solution(Customer analytics, financial analytics, marketing & sales analytics, network analytics), By Deployment Type(Cloud and On-premise), By Enterprise Size(Small & Medium Enterprises and Large Enterprises), By End-User(Aerospace & Defense, Automotive & Transportation, BFSI, Healthcare), By Region - Industry Forecast 2024-2031


Report ID: SQMIG45A2063 | Region: Global | Published Date: July, 2024
Pages: 157 | Tables: 149 | Figures: 78

Predictive Analytics Market Dynamics

Predictive Analytics Market Drivers

Growing Data Volumes 

  • The exponential growth of data generated by businesses across industries is driving the demand for predictive analytics. Organizations are using big data to predict trends, improve operations and make informed decisions, fueling the growth of the predictive analytics market. 

Advances in Machine Learning and AI 

  • Technological advances in machine learning and artificial intelligence are making predictive analytics more accurate and efficient. These innovations enable more sophisticated modeling and design, improve predictive capabilities, and market expansion. 

Restraints 

Increased Cost of Implementation 

  • The initial investment required to implement a predictive analytics solution can be significant. The cost of technology acquisition, systems integration, and employee training can be a barrier, especially for SMEs. 

Data Privacy and Compliance Challenges 

  • Managing sensitive information poses the significant challenges to ensure compliance with data privacy laws. Data security and regulatory compliance concerns may restrict the adoption of predictive analytics solutions and influence market growth.
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FAQs

Global Predictive Analytics Market size was valued at around USD 14.03 billion in 2022 and is projected to grow from USD 17.12 billion in 2023 to USD 84 billion by 2031 at a CAGR of 19.2% over the forecast period (2024–2031). 

The predictive analytics market is highly competitive, with a variety of key players offering advanced solutions and services in various industries. The key players in the market are IBM, SAS Institute, Oracle, Microsoft, and SAP. These companies leverage their breadth of expertise and technology to deliver complete predictive analytics solutions that meet business needs from forecasting and risk management to customer insights and operational efficiencies. IBM’s Watson delivers advanced predictive analytics capabilities powered by artificial intelligence and machine learning. IBM focuses on integrating its solutions with other enterprise software to improve business processes and decision-making. 'IBM (US)  ', 'Microsoft (US)  ', 'Oracle (US)  ', 'SAP (Germany)  ', 'SAS Institute (US)  ', 'Google (US)  ', 'Salesforce (US)  ', 'Amazon Web Services (AWS) (US)  ', 'Hewlett Packard Enterprise (HPE) (US)  ', 'Teradata (US)  ', 'Alteryx (US)  ', 'FICO (US)  ', 'Altair (US)  ', 'Domo (US)  ', 'Cloudera (US)  ', 'Board International (Switzerland)  ', 'Hitachi Vantara (US)  ', 'Qlik (US)  ', 'Happiest Minds (India)  ', 'Dataiku (US)  ', 'Biofourmis (US)  ', 'In-med Prognostics (India)  ', 'Aito.Ai (Finland)  ', 'Symend (US)  ', 'Onward Health (India)  ', 'Unioncrate (US)  ', 'CyberLabs (Brazil)  ', 'Actify Data Labs (India)  ', 'Amlgo Labs (India)  ', 'Verimos (US)'

The exponential growth of data generated by businesses across industries is driving the demand for predictive analytics. Organizations are using big data to predict trends, improve operations and make informed decisions, fueling the growth of the predictive analytics market. 

Integrating Predictive Analytics with Traditional Business Intelligence (BI) Systems to Support Market Growth: Integrating predictive analytics with traditional business intelligence approaches stems from the need for a holistic and actionable approach to data analysis. By combining historical data insights from BI and predictive modeling, organizations gain focusing on their data enabling, leading to proactive responses to changing circumstances. Data analysts and business users can easily access and interpret integrated insights through user-friendly interfaces and advanced data visualization. Ongoing learning ensures that predictive models are developed and improved, providing more accurate and valuable information. Ultimately, the trend leads to improved productivity, increased ROI, and a competitive edge in a data-driven world.

North America holds the largest market share, primarily due to growing demand for automation and widespread adoption of advanced technologies across industries in Canada and the US. In terms of market share, North America dominated the global market. This can be linked to developments in technology and the prominence of market participants, particularly in the United States. Also, venture capitalists' investment in new competitors is expected to lessen competitiveness in the market. Growing developments in the methods and procedures used to develop predictive analytics solutions are expected to provide important commercial opportunities to existing enterprises. Furthermore, there is a high demand for these solutions due to growing knowledge of predictive analytics techniques and their significance.  

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Global Predictive Analytics Market

Report ID: SQMIG45A2063

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