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    Predictive Analytics Market Analysis

    ID: MRFR/ICT/5380-HCR
    100 Pages
    Ankit Gupta
    October 2025

    Predictive Analytics Market Research Report: Information by Vertical (BFSI, Retail, Manufacturing, Government & Defense, Healthcare & Life Sciences, Energy & Utilities, Transportation & Logistics, Telecommunication & IT, and Others), By Organization Size (Small & Medium-sized Enterprises and Large Enterprises), By Deployment (On-Premise and Cloud), And By Region (North A...

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    Summary Table of Contents Segmentation Download PDF

    Market Analysis

    In-depth Analysis of Predictive Analytics Market Industry Landscape

    The predictive analytics market has witnessed a remarkable surge in recent years, driven by the increasing reliance on data-driven decision-making across various industries. This dynamic sector is characterized by a multitude of factors that collectively shape its trajectory. One of the key drivers is the escalating demand for actionable insights derived from vast datasets. Businesses are increasingly recognizing the potential of predictive analytics to forecast trends, identify patterns, and optimize operations. This surge in demand is met by a growing supply of sophisticated predictive analytics solutions, fostering a competitive market environment.

    Furthermore, technological advancements play a pivotal role in shaping the market dynamics. The evolution of machine learning algorithms and artificial intelligence has empowered predictive analytics tools to deliver more accurate and nuanced predictions. As businesses seek to gain a competitive edge, they are investing in cutting-edge technologies that enhance the predictive capabilities of analytics solutions. This constant innovation creates a dynamic landscape where vendors strive to outpace each other in terms of algorithmic sophistication and predictive accuracy.

    The predictive analytics market is also heavily influenced by the increasing volume and variety of data generated by businesses. The advent of big data has significantly expanded the scope and potential of predictive analytics. Organizations are leveraging not only structured data but also unstructured data from diverse sources, such as social media, sensors, and text documents. This influx of data poses both opportunities and challenges for market players, prompting them to develop solutions that can efficiently handle and analyze diverse datasets.

    Moreover, the widespread adoption of cloud computing has transformed the delivery models of predictive analytics solutions. Cloud-based predictive analytics platforms offer scalability, flexibility, and accessibility, allowing businesses to harness the power of predictive insights without the need for extensive infrastructure investments. This shift towards cloud-based solutions has reshaped the competitive landscape, with both established players and emerging startups vying for market share by offering cloud-compatible and user-friendly predictive analytics tools.

    The regulatory environment is another significant factor influencing the market dynamics of predictive analytics. As data privacy and security concerns gain prominence, businesses are under increasing pressure to ensure compliance with regulations such as GDPR and CCPA. This has prompted predictive analytics vendors to incorporate robust data protection features into their solutions, creating a market where regulatory compliance is a key differentiator.

    The democratization of predictive analytics is yet another aspect shaping the market. As the demand for predictive insights transcends traditional data science teams, vendors are developing user-friendly interfaces and tools that enable non-technical users to leverage the power of predictive analytics. This democratization trend is expanding the user base and driving the adoption of predictive analytics across various business functions, from marketing and sales to finance and human resources.

    In conclusion, the market dynamics of predictive analytics reflect a dynamic interplay of factors, including the demand for actionable insights, technological advancements, data proliferation, cloud adoption, regulatory considerations, and the democratization of analytics. This vibrant landscape presents both challenges and opportunities for market players, driving continuous innovation and competition as businesses strive to harness the full potential of predictive analytics in an increasingly data-driven world.

    Market Summary

    As per MRFR analysis, the Predictive Analytics Market Size was estimated at 8.31 USD Billion in 2024. The Predictive Analytics industry is projected to grow from 10.29 USD Billion in 2025 to 87.48 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 23.86 during the forecast period 2025 - 2035.

    Key Market Trends & Highlights

    <p>The Predictive Analytics Market is experiencing robust growth driven by technological advancements and increasing demand for data-driven insights.</p>

    • The integration of Artificial Intelligence is transforming predictive analytics capabilities across various sectors.
    • Real-time data processing is becoming essential for organizations to make timely and informed decisions.
    • Cloud-based solutions are gaining traction, enabling scalability and flexibility for businesses of all sizes.
    • The growing demand for data-driven decision making and advancements in machine learning algorithms are key drivers propelling the market forward, particularly in North America and the BFSI segment.

    Market Size & Forecast

    2024 Market Size 8.31 (USD Billion)
    2035 Market Size 87.48 (USD Billion)
    CAGR (2025 - 2035) 23.86%
    Largest Regional Market Share in 2024 North America

    Major Players

    <p>IBM (US), SAS (US), Microsoft (US), Oracle (US), SAP (DE), TIBCO Software (US), Alteryx (US), Qlik (US), Tableau (US), RapidMiner (US)</p>

    Market Trends

    The Predictive Analytics Market is currently experiencing a notable evolution, driven by advancements in technology and the increasing demand for data-driven decision-making across various sectors. Organizations are increasingly recognizing the value of predictive analytics in enhancing operational efficiency, improving customer experiences, and gaining competitive advantages. This market encompasses a wide range of applications, including risk management, marketing optimization, and supply chain forecasting. As businesses strive to harness the power of data, the integration of machine learning and artificial intelligence into predictive analytics tools is becoming more prevalent, suggesting a shift towards more sophisticated analytical capabilities. Moreover, the growing emphasis on real-time data processing and the need for actionable insights are propelling the adoption of predictive analytics solutions. Companies are investing in cloud-based platforms that offer scalability and flexibility, enabling them to analyze vast amounts of data swiftly. This trend indicates a broader acceptance of predictive analytics as a core component of strategic planning and operational execution. As the market continues to mature, it appears poised for further growth, with innovations in technology likely to enhance its capabilities and applications across diverse industries.

    Integration of Artificial Intelligence

    The incorporation of artificial intelligence into predictive analytics tools is transforming the landscape. This integration enhances the accuracy of predictions and allows for more complex data analysis, enabling organizations to derive deeper insights from their data.

    Real-Time Data Processing

    The demand for real-time data processing is on the rise, as businesses seek immediate insights to inform their decisions. This trend is driving the development of advanced analytics solutions that can process and analyze data as it is generated.

    Cloud-Based Solutions

    The shift towards cloud-based predictive analytics solutions is becoming increasingly evident. These platforms offer scalability and flexibility, allowing organizations to manage and analyze large datasets without the constraints of traditional infrastructure.

    The Global Predictive Analytics Market is poised for robust growth as organizations increasingly leverage data-driven insights to enhance decision-making and operational efficiency.

    U.S. Department of Commerce

    Predictive Analytics Market Market Drivers

    Rising Adoption of IoT Devices

    The proliferation of Internet of Things (IoT) devices is a crucial factor propelling the Predictive Analytics Market. As more devices become interconnected, the volume of data generated is expanding exponentially. This influx of data presents both challenges and opportunities for organizations seeking to leverage predictive analytics. By utilizing predictive models, businesses can analyze real-time data from IoT devices to optimize operations, enhance customer experiences, and improve product offerings. The market is expected to witness substantial growth, with estimates suggesting it could reach USD 30 billion by 2028, driven by the increasing integration of IoT technologies across various sectors.

    Need for Enhanced Customer Experience

    The imperative for enhanced customer experience is driving the Predictive Analytics Market. Organizations are increasingly focused on understanding customer preferences and behaviors to tailor their offerings accordingly. Predictive analytics enables businesses to analyze historical data and forecast future customer interactions, thereby facilitating personalized marketing strategies. This trend is particularly evident in the retail and e-commerce sectors, where companies are investing in predictive analytics solutions to improve customer engagement and retention. The market is projected to grow significantly, with estimates indicating a potential valuation of USD 22 billion by 2026, as businesses prioritize customer-centric approaches.

    Regulatory Compliance and Risk Management

    Regulatory compliance and risk management are becoming increasingly critical in the Predictive Analytics Market. Organizations are required to adhere to stringent regulations, necessitating the use of predictive analytics to identify potential risks and ensure compliance. By leveraging predictive models, businesses can proactively address compliance issues and mitigate risks associated with financial transactions, data breaches, and operational inefficiencies. This trend is particularly pronounced in sectors such as finance and healthcare, where regulatory frameworks are evolving rapidly. The market is anticipated to grow, with projections suggesting it could reach USD 28 billion by 2027, as organizations seek to enhance their risk management capabilities through predictive analytics.

    Advancements in Machine Learning Algorithms

    Advancements in machine learning algorithms are significantly influencing the Predictive Analytics Market. These innovations enhance the accuracy and efficiency of predictive models, allowing organizations to derive actionable insights from complex datasets. The integration of sophisticated algorithms enables businesses to identify patterns and trends that were previously undetectable. As a result, the market is experiencing a notable uptick, with projections indicating a potential growth trajectory that could exceed USD 25 billion by 2027. This growth is driven by the increasing adoption of machine learning technologies across various industries, including finance, healthcare, and retail, where predictive analytics is becoming indispensable for informed decision making.

    Growing Demand for Data-Driven Decision Making

    The increasing emphasis on data-driven decision making is a primary driver for the Predictive Analytics Market. Organizations across various sectors are recognizing the value of leveraging data to enhance operational efficiency and strategic planning. According to recent estimates, the market is projected to reach USD 20 billion by 2026, reflecting a compound annual growth rate of approximately 25 percent. This surge is attributed to the need for businesses to remain competitive in a rapidly evolving landscape. As companies seek to harness insights from vast datasets, the demand for predictive analytics solutions is likely to escalate, enabling them to anticipate market trends and consumer behavior more effectively.

    Market Segment Insights

    By Vertical Outlook: BFSI (Largest) vs. Healthcare & Life Sciences (Fastest-Growing)

    <p>The predictive analytics market shows a diverse distribution across various verticals, with the Banking, Financial Services, and Insurance (BFSI) sector accounting for a significant portion of market share. This vertical leverages predictive insights to enhance risk management, fraud detection, and customer personalization, solidifying its position as the largest segment within the market. Other verticals, such as Retail and Manufacturing, also hold substantial shares, focusing on inventory management and supply chain optimization, contributing to the overall maturity of the market.</p>

    <p>BFSI: Cloud Adoption (Dominant) vs. Healthcare & Life Sciences: AI-Driven Insights (Emerging)</p>

    <p>In the BFSI sector, the adoption of cloud-based predictive analytics solutions is a dominant trend, allowing institutions to harness vast amounts of data for better decision-making and operational efficiency. This segment thrives on regulatory compliance and risk assessment, leading to robust investments in technologies that support data-driven strategies. In contrast, the Healthcare & Life Sciences sector is experiencing rapid growth through the integration of AI and machine learning, enabling personalized medicine and predictive patient care. These emerging solutions are not only enhancing operational workflows but also significantly improving patient outcomes, marking this sector as the fastest-growing within the predictive analytics landscape.</p>

    By Organization Size: Small & Medium-sized Enterprises (Largest) vs. Large Enterprises (Fastest-Growing)

    <p>The predictive analytics market exhibits a significant distribution of market share between small & medium-sized enterprises (SMEs) and large enterprises. SMEs dominate this segment, leveraging predictive analytics tools to drive efficiency and enhance decision-making processes. Their need for affordable and scalable solutions has contributed to their market presence. Conversely, large enterprises are increasingly investing in advanced predictive analytics solutions, recognizing their potential to transform operations and gain insights from vast data sets. This has allowed them to quickly adapt to market changes and consumer demands. Looking at growth trends, SMEs are adopting predictive analytics at a rapid pace, driven by the need to remain competitive and responsive to market dynamics. The growing accessibility of data and user-friendly analytics tools are facilitating this transition. On the other hand, large enterprises are experiencing the fastest growth in this segment due to substantial investments in big data technologies and machine learning applications. The emphasis on data-driven decision-making is pivotal in shaping their strategies and enhancing operational performance.</p>

    <p>SMEs (Dominant) vs. Large Enterprises (Emerging)</p>

    <p>Small & Medium-sized Enterprises (SMEs) are recognized as the dominant players in the predictive analytics market. Their focus on cost-effective solutions and ease of implementation allows them to harness the power of data analytics without significant investments. SMEs leverage predictive analytics to optimize operations, improve customer engagement, and enhance product offerings, which has become crucial in achieving competitive advantage. Meanwhile, Large Enterprises represent an emerging segment keen on integrating robust predictive analytics frameworks into their operations. They invest in sophisticated analytics tools to analyze large volumes of data, enabling them to make strategic decisions swiftly. Although SMEs currently hold a stronger market position, Large Enterprises are quickly catching up by adopting innovative technologies that enhance their analytics capabilities.</p>

    By Deployment Outlook: Cloud (Largest) vs. On-Premises (Fastest-Growing)

    <p>The Predictive Analytics Market is witnessing a dynamic shift in deployment strategies, primarily characterized by two segments: Cloud and On-Premises. The Cloud deployment model holds the largest share, attributed to its flexibility, scalability, and ease of integration. Organizations are increasingly opting for cloud solutions due to their cost-effectiveness and ability to facilitate real-time analytics. In contrast, On-Premises deployments are gaining traction, appealing to businesses that prioritize data security and regulatory compliance, thus creating a diverse market landscape.</p>

    <p>Deployment Type: Cloud (Dominant) vs. On-Premises (Emerging)</p>

    <p>Cloud deployment is a dominant force in the Predictive Analytics Market, favored for its ability to deliver seamless updates, enhanced collaboration, and access to advanced analytics tools. This model supports a wide range of organizations, from SMEs to large enterprises, providing them the necessary resources to harness data-driven insights efficiently. On-Premises solutions, while emerging, are seeing a resurgence as companies seek more control over their data environments. These systems offer higher levels of customization and security, making them attractive for sectors with stringent compliance mandates, ultimately shaping a competitive landscape between the two deployment models.</p>

    Get more detailed insights about Predictive Analytics Market Research Report - Global Forecast till 2032

    Regional Insights

    North America : Innovation and Leadership Hub

    North America is the largest market for predictive analytics, holding approximately 45% of the global share. The region's growth is driven by rapid technological advancements, increasing data generation, and a strong focus on data-driven decision-making across industries. Regulatory support, particularly in data privacy and security, further catalyzes market expansion, ensuring compliance while fostering innovation. The United States leads the market, with significant contributions from Canada. Major players like IBM, Microsoft, and Oracle dominate the landscape, offering advanced solutions tailored to various sectors. The competitive environment is characterized by continuous innovation and strategic partnerships, enhancing the capabilities of predictive analytics tools and services.

    Europe : Emerging Market with Potential

    Europe is witnessing a significant rise in the predictive analytics market, currently holding around 30% of the global share. The region's growth is fueled by increasing investments in digital transformation and a growing emphasis on data analytics across various sectors. Regulatory frameworks, such as GDPR, are shaping the market by promoting data protection and privacy, which in turn drives demand for compliant analytics solutions. Leading countries in Europe include Germany, the UK, and France, where organizations are increasingly adopting predictive analytics to enhance operational efficiency. Key players like SAP and SAS are prominent in the region, contributing to a competitive landscape that encourages innovation and collaboration. The focus on sustainability and ethical data use is also influencing market dynamics, paving the way for responsible analytics practices.

    Asia-Pacific : Rapid Growth and Adoption

    Asia-Pacific is rapidly emerging as a significant player in the predictive analytics market, accounting for approximately 20% of the global share. The region's growth is driven by increasing digitalization, a surge in data generation, and a growing awareness of the benefits of predictive analytics across various industries. Government initiatives promoting technology adoption and innovation are also key catalysts for market expansion. Countries like China, India, and Japan are at the forefront of this growth, with a strong presence of both local and international players. Companies such as TIBCO Software and Alteryx are making strides in the market, enhancing their offerings to cater to diverse industry needs. The competitive landscape is characterized by a mix of established firms and startups, fostering a vibrant ecosystem for predictive analytics solutions.

    Middle East and Africa : Emerging Market with Challenges

    The Middle East and Africa region is gradually developing its predictive analytics market, currently holding about 5% of the global share. The growth is driven by increasing investments in technology and a rising demand for data-driven insights across various sectors. However, challenges such as limited infrastructure and regulatory hurdles can impede rapid growth. Governments are increasingly recognizing the importance of data analytics, leading to supportive policies that encourage market development. Countries like South Africa and the UAE are leading the way in adopting predictive analytics, with a focus on sectors such as finance and healthcare. The competitive landscape is evolving, with both local and international players vying for market share. Companies are increasingly collaborating to enhance their capabilities and address the unique challenges of the region, paving the way for future growth in predictive analytics.

    Key Players and Competitive Insights

    The Predictive Analytics Market is currently characterized by a dynamic competitive landscape, driven by the increasing demand for data-driven decision-making across various sectors. Key players such as IBM (US), Microsoft (US), and SAS (US) are at the forefront, leveraging their technological prowess to enhance their offerings. IBM (US) focuses on integrating artificial intelligence into its predictive analytics solutions, thereby enabling clients to derive actionable insights from vast datasets. Meanwhile, Microsoft (US) emphasizes cloud-based analytics, positioning itself as a leader in providing scalable solutions that cater to businesses of all sizes. SAS (US) continues to innovate with its advanced analytics capabilities, particularly in sectors like healthcare and finance, where predictive modeling is crucial for operational efficiency. Collectively, these strategies not only enhance their competitive positioning but also contribute to a rapidly evolving market landscape.

    In terms of business tactics, companies are increasingly localizing their operations to better serve regional markets, optimizing supply chains to enhance efficiency, and investing in partnerships to expand their technological capabilities. The competitive structure of the Predictive Analytics Market appears moderately fragmented, with several key players holding substantial market shares while also facing competition from emerging startups. This fragmentation allows for a diverse range of solutions, catering to various industry needs and preferences.

    In August 2025, IBM (US) announced a strategic partnership with a leading cloud provider to enhance its predictive analytics capabilities. This collaboration aims to integrate IBM's AI-driven analytics tools with the cloud provider's infrastructure, thereby offering clients a more robust and scalable solution. The significance of this partnership lies in its potential to streamline data processing and improve the speed at which businesses can derive insights, ultimately driving better decision-making.

    In September 2025, Microsoft (US) launched a new suite of predictive analytics tools designed specifically for the retail sector. This initiative reflects Microsoft's commitment to addressing industry-specific challenges, such as inventory management and customer behavior forecasting. By tailoring its offerings, Microsoft not only strengthens its market position but also enhances customer loyalty through targeted solutions that meet specific needs.

    In July 2025, SAS (US) unveiled an innovative predictive analytics platform that incorporates machine learning algorithms to enhance forecasting accuracy. This development is particularly relevant in industries where precision is paramount, such as finance and supply chain management. The introduction of this platform signifies SAS's ongoing commitment to innovation and its ability to adapt to the evolving demands of the market.

    As of October 2025, the competitive trends within the Predictive Analytics Market are increasingly defined by digitalization, sustainability, and the integration of artificial intelligence. Strategic alliances are becoming more prevalent, as companies recognize the value of collaboration in enhancing their technological capabilities and market reach. Looking ahead, it is likely that competitive differentiation will shift from traditional price-based strategies to a focus on innovation, advanced technology, and the reliability of supply chains. This evolution suggests that companies that prioritize these aspects will be better positioned to thrive in an increasingly competitive environment.

    Key Companies in the Predictive Analytics Market market include

    Industry Developments

    • Q2 2024: Salesforce launches new AI-powered predictive analytics features for Data Cloud Salesforce announced the release of advanced predictive analytics capabilities integrated into its Data Cloud platform, aiming to help enterprises forecast customer behavior and optimize marketing strategies.
    • Q2 2024: Microsoft acquires predictive analytics startup Nuance Predict for undisclosed sum Microsoft completed the acquisition of Nuance Predict, a startup specializing in healthcare predictive analytics, to strengthen its cloud-based AI offerings for hospitals and clinics.
    • Q1 2024: DataRobot secures $150M funding round to expand predictive analytics platform DataRobot raised $150 million in a new funding round led by Tiger Global, with plans to accelerate development of its enterprise predictive analytics solutions and expand into new verticals.
    • Q2 2024: IBM partners with Mayo Clinic to deploy predictive analytics for patient outcome forecasting IBM announced a strategic partnership with Mayo Clinic to implement predictive analytics tools aimed at improving patient care and operational efficiency in clinical settings.
    • Q3 2024: SAP unveils new predictive analytics module for S/4HANA Cloud SAP launched a predictive analytics module for its S/4HANA Cloud ERP system, enabling businesses to leverage machine learning for financial forecasting and supply chain optimization.
    • Q1 2024: Oracle wins $80M contract with US Department of Defense for predictive analytics in logistics Oracle secured a multi-year, $80 million contract to provide predictive analytics solutions for the US Department of Defense, focusing on logistics and supply chain management.
    • Q2 2025: Google Cloud launches Vertex AI Predictive Analytics Suite Google Cloud introduced the Vertex AI Predictive Analytics Suite, a new set of tools designed to help organizations build, deploy, and manage predictive models at scale.
    • Q1 2025: C3.ai announces partnership with Shell to deploy predictive analytics for energy operations C3.ai entered into a partnership with Shell to implement predictive analytics solutions aimed at optimizing energy production and reducing operational risks.
    • Q2 2024: SAS Institute opens new predictive analytics R&D center in Dublin SAS Institute inaugurated a research and development center in Dublin focused on advancing predictive analytics technologies for financial services and healthcare.
    • Q3 2024: Palantir Technologies wins contract with NHS for predictive analytics in patient care Palantir Technologies secured a contract with the UK's National Health Service to deploy predictive analytics tools for improving patient care and resource allocation.
    • Q1 2025: Snowflake appoints new Chief Analytics Officer to lead predictive analytics strategy Snowflake named Dr. Lisa Chen as Chief Analytics Officer, tasking her with driving the company's predictive analytics product roadmap and market expansion.
    • Q2 2025: AWS launches Predictive Analytics Accelerator for startups Amazon Web Services announced the launch of its Predictive Analytics Accelerator program, offering funding and technical support to startups developing predictive analytics solutions.

    Future Outlook

    Predictive Analytics Market Future Outlook

    <p>The Predictive Analytics Market is poised for robust growth at 23.86% CAGR from 2024 to 2035, driven by advancements in AI, big data, and demand for data-driven decision-making.</p>

    New opportunities lie in:

    • <p>Integration of predictive maintenance solutions in manufacturing sectors.</p>
    • <p>Development of personalized marketing analytics platforms for retail.</p>
    • <p>Implementation of real-time fraud detection systems in financial services.</p>

    <p>By 2035, the Predictive Analytics Market is expected to achieve substantial growth, solidifying its critical role in various industries.</p>

    Market Segmentation

    Predictive Analytics Market Vertical Outlook Outlook

    • BFSI
    • Retail
    • Manufacturing
    • Government & Defense
    • Healthcare & Life Sciences
    • Energy & Utilities
    • Transportation & Logistics
    • Telecommunication & IT
    • Others

    Predictive Analytics Market Organization Size Outlook

    • Small & Medium-sized Enterprises
    • Large Enterprises

    Predictive Analytics Market Deployment Outlook Outlook

    • On-Premises
    • Cloud

    Report Scope

    Report Attribute/Metric Details
    Market Size 2024 USD 8.31 Billion
    Market Size 2035 87.48 (Value (USD Billion))
    Compound Annual Growth Rate (CAGR) 23.86% (2025 - 2035)
    Base Year 2024
    Market Forecast Period 2025 - 2035
    Historical Data 2018- 2022
    Market Forecast Units Value (USD Billion)
    Report Coverage Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends
    Segments Covered Vertical Outlook, Organization Size, Deployment, and Region
    Geographies Covered North America, Europe, Asia Pacific, and the Rest of the World
    Countries Covered The US, Canada, German, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil
    Key Companies Profiled  Ge SAS Institute Inc. (United States), Oracle Corporation (United States), Microsoft Corporation (United States), and SAP SE (Germany)
    Key Market Opportunities Possibility of developing analytical prediction systems
    Key Market Dynamics R&D activities and strategic alliances have increased.Using some aspects of several forecasting approachesGlobalization and financial situation stabilization
    Market Size 2025 10.29 (Value (USD Billion))

    Market Highlights

    Author

    Ankit Gupta
    Senior Research Analyst

    She holds an experience of about 6+ years in market research and business consulting, working under the spectrum of information communication technology, telecommunications and semiconductor domains. aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

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    This is a great article! Really helped me understand the topic better.

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    FAQs

    How much is the Predictive Analytics market?

    The Predictive Analytics market size was valued at USD 6.51 Billion in 2023.

    What is the growth rate of the Predictive Analytics market?

    The market is projected to grow at a CAGR of 23.86% during the forecast period, 2024-2032.

    Which region held the largest market share in the Predictive Analytics market?

    North America had the largest share of the Predictive Analytics market.

    Who are the key participants in the Predictive Analytics market?

    The key players in the market are SAS Institute Inc. (United States), Oracle Corporation (United States), Microsoft Corporation (United States), and SAP SE (Germany).

    Which Vertical Outlook led the Predictive Analytics market?

    The BFSI category dominated the market in 2022.

    Which Organization Size has the largest market share in the Predictive Analytics market?

    Large Enterprise had the largest share in the market.

    1. Executive Summary
      1. 2
      2. Scope of the Report
      3. Market Definition
        1. Research Objectives
      4. 2.2
      5. Scope of the Study
      6. 2.2.2
      7. Assumptions & Limitations
      8. Markets Structure
    2. Market Research Methodology
      1. Research
      2. Process
      3. Secondary Research
      4. Primary
      5. Research
      6. Forecast Model
    3. Market
      1. Landscape
      2. Porter’s Five Forces Analysis
        1. Bargaining power of buyers
        2. Threat of substitutes
        3. Rivalry
        4. Bargaining Power of Suppliers
      3. 4.1.1
      4. Threat of New Entrants
      5. Value
      6. Chain/Supply Chain of Predictive Analytics Market
    4. Market
      1. Overview of Predictive Analytics Market
      2. Introduction
      3. Growth Drivers
      4. Impact Analysis
      5. Market Challenges
    5. Market Trends
      1. Introduction
      2. Growth Trends
      3. Impact analysis
    6. Predictive Analytics
      1. Market by Deployment
      2. Introduction
        1. Market Estimates & Forecast, 2020-2027
      3. 7.2
      4. On-Premise
      5. 7.2.2
      6. Market Estimates & Forecast by Region, 2020-2027
      7. On-Cloud
        1. Market Estimates & Forecast, 2020-2027
        2. Market Estimates &
      8. Forecast by Region, 2020-2027
    7. Predictive Analytics Market
      1. by Organization size
      2. Introduction
        1. Market Estimates & Forecast, 2020-2027
        2. Market Estimates & Forecast by Region, 2020-2027
        3. Market Estimates & Forecast, 2020-2027
        4. Market
      3. 8.2
      4. Large Enterprise
      5. 8.3
      6. SMEs
      7. Estimates & Forecast by Region, 2020-2027
    8. Predictive
      1. Analytics Market by Techniques
      2. Introduction
        1. Market Estimates & Forecast, 2020-2027
        2. Market Estimates & Forecast by Region, 2020-2027
        3. Market Estimates & Forecast,
        4. Market Estimates & Forecast by Region, 2020-2027
        5. Market Estimates & Forecast, 2020-2027
        6. Market Estimates & Forecast by Region, 2020-2027
        7. Market Estimates & Forecast, 2020-2027
        8. Market
      3. 9.2
      4. Support Vector Machines
      5. 9.3
      6. Bayesian Recommendation System
      7. 9.4
      8. Deep Neural Networks
      9. 9.5
      10. Others
      11. Estimates & Forecast by Region, 2020-2027
    9. Predictive
      1. Analytics Market by Applications
      2. Introduction
        1. Market Estimates & Forecast,
        2. Market Estimates & Forecast by Region, 2020-2027
        3. Market Estimates & Forecast, 2020-2027
        4. Market Estimates & Forecast by Region, 2020-2027
        5. Market Estimates & Forecast, 2020-2027
        6. Market Estimates & Forecast by Region, 2020-2027
        7. Market Estimates & Forecast, 2020-2027
        8. Market Estimates & Forecast by Region, 2020-2027
        9. Market Estimates & Forecast, 2020-2027
        10. Market Estimates & Forecast by Region, 2020-2027
        11. Market Estimates & Forecast, 2020-2027
        12. Market Estimates & Forecast by Region, 2020-2027
        13. Market Estimates & Forecast, 2020-2027
      3. 10.2
      4. Customer Churn Rate Prevention
      5. 10.3
      6. Risk Assessment
      7. 10.4
      8. Customer Analysis
      9. 10.5
      10. Sales Forecasting
      11. 10.6
      12. Market Analysis
      13. 10.7
      14. Financial Modelling
      15. 10.8
      16. Others
      17. 10.8.2
      18. Market Estimates & Forecast by Region, 2020-2027
    10. Predictive
      1. Analytics Market by Vertical
      2. Introduction
        1. Market Estimates & Forecast, 2020-2027
        2. Market
      3. 11.2
      4. BFSI
      5. Estimates & Forecast by Region, 2020-2027
      6. It &
        1. Market Estimates & Forecast, 2020-2027
      7. Telecommunication
      8. 11.3.2
      9. Market Estimates & Forecast by Region, 2020-2027
      10. Retail
        1. Market Estimates & Forecast, 2020-2027
      11. & Ecommerce
      12. 11.4.2
      13. Market Estimates & Forecast by Region, 2020-2027
      14. Manufacturing
        1. Market Estimates & Forecast, 2020-2027
        2. Market Estimates
      15. & Forecast by Region, 2020-2027
      16. Healthcare
        1. Market Estimates & Forecast
      17. 11.6.1
      18. Market Estimates & Forecast, 2020-2027
      19. by Region, 2020-2027
      20. Transportation & Logistics
        1. Market Estimates & Forecast, 2020-2027
        2. Market Estimates
      21. & Forecast by Region, 2020-2027
      22. Government &
        1. Market Estimates & Forecast, 2020-2027
        2. Market
      23. Defense
      24. Estimates & Forecast by Region, 2020-2027
      25. Others
        1. Market Estimates & Forecast, 2020-2027
        2. Market Estimates
      26. & Forecast by Region, 2020-2027
    11. Predictive Analytics
      1. Market by Region
      2. Introduction
        1. Market Estimates & Forecast by Country, 2020-2027
        2. Market Estimates & Forecast by Deployment, 2020-2027
        3. Market
        4. Market Estimates
        5. Market Estimates & Forecast
        6. Market Estimates & Forecast by Vertical,
        7. US
        8. Mexico
        9. Canada
      3. 12.2
      4. North America
      5. Estimates & Forecast by Organization size, 2020-2027
      6. & Forecast by Techniques, 2020-2027
      7. by Applications, 2020-2027
      8. Forecast by Deployment, 2020-2027
      9. by Organization size, 2020-2027
      10. Techniques, 2020-2027
      11. by Deployment, 2020-2027
      12. size, 2020-2027
      13. 12.2.8.5
      14. Market Estimates & Forecast by Vertical, 2020-2027
      15. 12.2.9.2
      16. Market Estimates & Forecast by Organization size, 2020-2027
      17. Estimates & Forecast by Techniques, 2020-2027
      18. & Forecast by Applications, 2020-2027
      19. by Vertical, 2020-2027
      20. Europe
        1. Market Estimates
        2. Market Estimates & Forecast
        3. Market Estimates & Forecast by Organization
        4. Market Estimates & Forecast by Techniques, 2020-2027
        5. Market Estimates & Forecast by Applications, 2020-2027
        6. Germany
        7. France
        8. UK
        9. Rest of Europe
      21. & Forecast by Country, 2020-2027
      22. by Deployment, 2020-2027
      23. size, 2020-2027
      24. 12.3.6
      25. Market Estimates & Forecast by Vertical, 2020-2027
      26. 12.3.7.2
      27. Market Estimates & Forecast by Organization size, 2020-2027
      28. Estimates & Forecast by Techniques, 2020-2027
      29. & Forecast by Applications, 2020-2027
      30. by Vertical, 2020-2027
      31. Estimates & Forecast by Deployment, 2020-2027
      32. & Forecast by Organization size, 2020-2027
      33. Forecast by Techniques, 2020-2027
      34. by Applications, 2020-2027
      35. Forecast by Deployment, 2020-2027
      36. by Organization size, 2020-2027
      37. Techniques, 2020-2027
      38. Forecast by Deployment, 2020-2027
      39. by Organization size, 2020-2027
      40. Techniques, 2020-2027
      41. Asia-Pacific
        1. Market Estimates & Forecast
        2. Market Estimates & Forecast by Deployment,
        3. Market Estimates & Forecast by Organization size, 2020-2027
        4. Market Estimates & Forecast by Techniques, 2020-2027
        5. Market
        6. Market Estimates
        7. China
        8. India
        9. Japan
      42. by Country, 2020-2027
      43. Estimates & Forecast by Applications, 2020-2027
      44. & Forecast by Vertical, 2020-2027
      45. 12.4.7.1
      46. Market Estimates & Forecast by Deployment, 2020-2027
      47. & Forecast by Organization size, 2020-2027
      48. Forecast by Techniques, 2020-2027
      49. by Applications, 2020-2027
      50. Forecast by Deployment, 2020-2027
      51. by Organization size, 2020-2027
      52. Techniques, 2020-2027
      53. Deployment, 2020-2027
      54. size, 2020-2027
      55. 12.4.9.5
      56. Market Estimates & Forecast by Vertical, 2020-2027
      57. 12.4.10
      58. Rest of Asia-Pacific
      59. 12.4.10.4
      60. Market Estimates & Forecast by Applications, 2020-2027
      61. Estimates & Forecast by Vertical, 2020-2027
      62. Rest
        1. Market Estimates & Forecast by Country, 2020-2027
        2. Market Estimates & Forecast by Deployment, 2020-2027
        3. Market
        4. Market Estimates
        5. Market Estimates & Forecast
        6. Market Estimates & Forecast by Vertical,
        7. Middle East & Africa
        8. Latin Countries
      63. of the World
      64. Estimates & Forecast by Organization size, 2020-2027
      65. & Forecast by Techniques, 2020-2027
      66. by Applications, 2020-2027
      67. & Forecast by Deployment, 2020-2027
      68. by Organization size, 2020-2027
      69. Techniques, 2020-2027
      70. Deployment, 2020-2027
      71. size, 2020-2027
      72. 12.5.8.5
      73. Market Estimates & Forecast by Vertical, 2020-2027
    12. Company Profiles
      1. IBM Corporation
        1. Company Overview
        2. Product/Business Segment Overview
        3. Key Developments
        4. Company Overview
        5. Financial
        6. Key Developments
      2. 12.1.3
      3. Financial Updates
      4. 12.2
      5. SAS Institute Inc.
      6. 12.2.2
      7. Product/Business Segment Overview
      8. Updates
      9. SAP
        1. Company Overview
        2. Product/Business
        3. Financial Updates
      10. SE
      11. Segment Overview
      12. 12.3.4
      13. Key Developments
      14. Microsoft Corporation
        1. Product/Business Segment Overview
        2. Financial Updates
        3. Key Developments
      15. 12.4.1
      16. Company Overview
      17. Oracle Corporation
        1. Company
        2. Product/Business Segment Overview
        3. Key Developments
        4. Company Overview
        5. Financial
        6. Key Developments
      18. Overview
      19. 12.5.3
      20. Financial Updates
      21. 12.6
      22. Tibco Software
      23. 12.6.2
      24. Product/Business Segment Overview
      25. Updates
      26. Angoss
        1. Company Overview
        2. Financial
        3. Key Developments
      27. Software Corporation
      28. 12.7.2
      29. Product/Business Segment Overview
      30. Updates
      31. Tableu
        1. Company Overview
        2. Financial
        3. Key Developments
      32. Software Inc.
      33. 12.8.2
      34. Product/Business Segment Overview
      35. Updates
      36. Rapidminer
        1. Company Overview
        2. Product/Business
        3. Financial Updates
      37. Inc.
      38. Segment Overview
      39. 12.9.4
      40. Key Developments
      41. NTT Data Corporation
        1. Product/Business Segment Overview
        2. Financial Updates
        3. Key
      42. 12.10.1
      43. Company Overview
      44. Developments
      45. Fair Isaac Corporation
        1. Product/Business Segment Overview
        2. Financial Updates
        3. Key
      46. 12.11.1
      47. Company Overview
      48. Developments
      49. Radius Intelligence Inc.
        1. Product/Business Segment Overview
        2. Financial Updates
        3. Key
      50. 12.12.1
      51. Company Overview
      52. Developments
      53. Ignite Technologies, Inc.
        1. Product/Business Segment Overview
        2. Financial Updates
        3. Key
      54. 12.13.1
      55. Company Overview
      56. Developments
      57. Dundas Data Visualization, Inc.
        1. Product/Business Segment Overview
        2. Financial Updates
        3. Key
      58. 12.14.1
      59. Company Overview
      60. Developments
      61. BOARD International
        1. Product/Business Segment Overview
        2. Financial Updates
        3. Key
      62. 12.15.1
      63. Company Overview
      64. Developments
    13. Conclusion
      1.  
    14. LIST OF TABLES
      1. Table1 Global
    15. Predictive Analytics Market, by Country, 2020–2027
      1. Table2
    16. North America: Predictive Analytics Market, by Country,
      1. Table3 Europe:
    17. Predictive Analytics Market, by Country, 2020–2027
      1. Table4
    18. Asia-Pacific: Predictive Analytics Market, by Country,
      1. Table5 North America:
    19. Predictive Analytics Market, by Country
      1. Table6
    20. North America: Predictive Analytics Market, by Deployment
      1. Table7
    21. North America: Predictive Analytics Market, by Organization
      1. size
      2. Table8 North America: Predictive
    22. Analytics Market, by Techniques
      1. Table9 North
    23. America: Predictive Analytics Market, by Application
      1. Table10
    24. North America: Predictive Analytics Market, by Vertical
      1. Table11
    25. Europe: Predictive Analytics Market, by Country
      1. Table12
    26. Europe: Predictive Analytics Market, by Deployment
      1. Table13 Europe: Predictive Analytics Market,
      2. by Organization size
      3. Table14 Europe:
    27. Predictive Analytics Market, by Techniques
      1. Table15
    28. Europe: Predictive Analytics Market, by Application
      1. Table16
    29. Europe: Predictive Analytics Market, by Vertical
      1. Table17
      2. Asia-Pacific: Predictive Analytics Market,
      3. by Country
      4. Table18 Asia-Pacific:
    30. Predictive Analytics Market, by Deployment
      1. Table19
    31. Asia-Pacific: Predictive Analytics Market, by Organization size
      1. Table20
      2. Asia-Pacific: Predictive Analytics Market,
      3. by Techniques
      4. Table21 Asia-Pacific: Predictive
    32. Analytics Market, by Application
      1. Table22 Asia-Pacific:
    33. Predictive Analytics Market, by Vertical
      1. Table23
    34. Middle East & Africa: Predictive Analytics Market, by Deployment
      1. Table24
      2. Middle East & Africa: Predictive Analytics
    35. Market, by Organization size
      1. Table25 Middle
    36. East & Africa: Predictive Analytics Market, by Techniques
      1. Table26
      2. Middle East & Africa: Predictive Analytics Market,
      3. by Application
      4. Table27 Middle East &
    37. Africa: Predictive Analytics Market, by Vertical
      1. Table28
    38. Latin America: Predictive Analytics Market, by Deployment
      1. Table29
    39. Latin America: Predictive Analytics Market, by Organization
      1. size
      2. Table30 Latin America: Predictive
    40. Analytics Market, by Techniques
      1. Table31 Latin
    41. America: Predictive Analytics Market, by Application
      1. Table32
    42. Latin America: Predictive Analytics Market, by Vertical
    43. LIST OF FIGURES
    44. Global Predictive Analytics Market Segmentation
    45. Forecast
      1. Methodology
    46. Porter’s Five Forces Analysis of Global Predictive
      1. Analytics Market
    47. Value Chain of Global Predictive Analytics
      1. Market
    48. Share of Predictive Analytics Market in 2020,
      1. by country (in %)
    49. Global Predictive Analytics Market, 2020–2027
    50. Global Predictive Analytics Market Size by Deployment, 2020–2027
    51. Share of Global Predictive Analytics Market by Deployment, (in
      1. %)
    52. Global Predictive Analytics Market Size by Organization
      1. size, 2020–2027
    53. Share of Global Predictive Analytics
      1. Market by Organization size, (in %)
    54. Global Predictive Analytics
      1. Market Size by Techniques, 2020–2027
    55. Share of Global
      1. Predictive Analytics Market by Techniques, (in %)
    56. Global Predictive
      1. Analytics Market Size by Application, 2020–2027
    57. Share
      1. of Global Predictive Analytics Market by Application, (in %)
      2. FIGURE 10
      3. Global Predictive Analytics Market Size by Vertical, 2020–2027
      4. FIGURE
    58. Share of Global Predictive Analytics Market by Vertical, (in %)

    Predictive Analytics Market Segmentation

    Predictive Analytics Vertical Outlook (USD Billion, 2018-2032)

    • BFSI
    • Retail
    • Manufacturing
    • Government & Defense
    • Healthcare & Life Sciences
    • Energy & Utilities
    • Transportation & Logistics
    • Telecommunication & IT
    • Others

    Predictive Analytics Organization Size Outlook (USD Billion, 2018-2032)

    • Small & Medium Enterprises
    • Large Enterprise

    Predictive Analytics Deployment Outlook (USD Billion, 2018-2032)

    • On-Premises
    • Cloud

    Predictive Analytics Regional Outlook (USD Billion, 2018-2032)

    • North America Outlook (USD Billion, 2018-2032)

      • North America Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • North America Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • North America Predictive Analytics by Deployment
        • On-Premises
        • Cloud

      • US Outlook (USD Billion, 2018-2032)

      • US Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • US Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • US Predictive Analytics by Deployment
        • On-Premises
        • Cloud

      • Canada Outlook (USD Billion, 2018-2032)

      • Canada Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • Canada Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • Canada Predictive Analytics by Deployment
        • On-Premises
        • Cloud

    • Europe Outlook (USD Billion, 2018-2032)

      • Europe Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • Europe Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • Europe Predictive Analytics by Deployment
        • On-Premises
        • Cloud

      • Germany Outlook (USD Billion, 2018-2032)

      • Germany Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • Germany Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • Germany Predictive Analytics by Deployment
        • On-Premises
        • Cloud

      • France Outlook (USD Billion, 2018-2032)

      • France Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • France Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • France Predictive Analytics by Deployment
        • On-Premises
        • Cloud

      • UK Outlook (USD Billion, 2018-2032)

      • UK Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • UK Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • UK Predictive Analytics by Deployment
        • On-Premises
        • Cloud

      • Italy Outlook (USD Billion, 2018-2032)

      • Italy Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • Italy Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Non-Small & Medium Enterprises
      • Italy Predictive Analytics by Deployment
        • On-Premises
        • Cloud

      • Spain Outlook (USD Billion, 2018-2032)

      • Spain Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • Spain Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise

      • Spain Predictive Analytics by Deployment

        • On-Premises
        • Cloud

      • Rest Of Europe Outlook (USD Billion, 2018-2032)

      • Rest Of Europe Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • Rest Of Europe Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • Rest Of Europe Predictive Analytics by Deployment
        • On-Premises
        • Cloud

    • Asia-Pacific Outlook (USD Billion, 2018-2032)

      • Asia-Pacific Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • Asia-Pacific Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • Asia-Pacific Predictive Analytics by Deployment
        • On-Premises
        • Cloud

      • China Outlook (USD Billion, 2018-2032)

      • China Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • China Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • China Predictive Analytics by Deployment
        • On-Premises
        • Cloud

      • Japan Outlook (USD Billion, 2018-2032)

      • Japan Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • Japan Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • Japan Predictive Analytics by Deployment
        • On-Premises
        • Cloud

      • India Outlook (USD Billion, 2018-2032)

      • India Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • India Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • India Predictive Analytics by Deployment
        • On-Premises
        • Cloud

      • Australia Outlook (USD Billion, 2018-2032)

      • Australia Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • Australia Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • Australia Predictive Analytics by Deployment
        • On-Premises
        • Cloud

      • Rest of Asia-Pacific Outlook (USD Billion, 2018-2032)

      • Rest of Asia-Pacific Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • Rest of Asia-Pacific Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • Rest of Asia-Pacific Predictive Analytics by Deployment
        • On-Premises
        • Cloud

    • Rest of the World Outlook (USD Billion, 2018-2032)

      • Rest of the World Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • Rest of the World Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • Rest of the World Predictive Analytics by Deployment
        • On-Premises
        • Cloud

      • Middle East Outlook (USD Billion, 2018-2032)

      • Middle East Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • Middle East Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • Middle East Predictive Analytics by Deployment
        • On-Premises
        • Cloud

      • Africa Outlook (USD Billion, 2018-2032)

      • Africa Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • Africa Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • Africa Predictive Analytics by Deployment
        • On-Premises
        • Cloud

      • Latin America Outlook (USD Billion, 2018-2032)

      • Latin America Predictive Analytics by Vertical Outlook

        • BFSI
        • Retail
        • Manufacturing
        • Government & Defense
        • Healthcare & Life Sciences
        • Energy & Utilities
        • Transportation & Logistics
        • Telecommunication & IT
        • Others
      • Latin America Predictive Analytics by Organization Size
        • Small & Medium Enterprises
        • Large Enterprise
      • Latin America Predictive Analytics by Deployment
        • On-Premises
        • Cloud
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