Global Prescriptive Analytics Market – Industry Trends and Forecast to 2031

Análisis y tamaño del mercado de análisis prescriptivo

En el sector de la atención sanitaria, el mercado de la analítica prescriptiva está transformando los procesos de toma de decisiones en varios ámbitos. Las herramientas de analítica prescriptiva analizan los datos de los pacientes, los resultados de los tratamientos y las mejores prácticas clínicas para ofrecer recomendaciones de tratamientos personalizados y planes de atención adaptados a las necesidades de cada paciente mediante el uso de algoritmos avanzados y modelos de aprendizaje automático. Los proveedores de atención sanitaria utilizan estas herramientas para optimizar la asignación de recursos, mejorar la eficiencia operativa y mejorar los resultados de los pacientes, al tiempo que minimizan los costes.

El tamaño del mercado global de análisis prescriptivo se valoró en USD 5,66 mil millones en 2023 y se proyecta que alcance los USD 30,67 mil millones para 2031, con una CAGR del 23,52% durante el período de pronóstico de 2024 a 2031.

Además de los conocimientos del mercado, como el valor de mercado, la tasa de crecimiento, los segmentos del mercado, la cobertura geográfica, los actores del mercado y el escenario del mercado, el informe de mercado elaborado por el equipo de investigación de mercado de Data Bridge incluye un análisis experto en profundidad, análisis de importación/exportación, análisis de precios, análisis de consumo de producción y análisis pestle.

Alcance del informe y segmentación del mercado       

Definición de mercado

La analítica prescriptiva representa un enfoque analítico avanzado que supera la analítica descriptiva y predictiva al ofrecer recomendaciones prácticas para la toma de decisiones. Aprovecha algoritmos matemáticos, inteligencia artificial y aprendizaje automático para asesorar sobre estrategias óptimas para lograr objetivos específicos o resolver desafíos comerciales.

Dinámica del mercado de gestión de activos ferroviarios

Conductores

• Aumentar la disponibilidad de datos de diversas fuentes

La disponibilidad de datos de diversas fuentes, como dispositivos de IoT, redes sociales y sistemas empresariales, proporciona una base sólida para que las herramientas de análisis prescriptivo analicen y obtengan información útil. Con un mayor volumen y variedad de datos disponibles, las organizaciones pueden tomar decisiones más informadas, optimizar procesos y descubrir patrones ocultos o correlaciones que antes eran inaccesibles. Además, la proliferación de datos impulsa la innovación en algoritmos y técnicas de análisis, lo que mejora aún más las capacidades de las soluciones de análisis prescriptivo para ofrecer recomendaciones valiosas para la toma de decisiones estratégicas en todas las industrias.

• Innovaciones tecnológicas rápidas

Los avances continuos en las tecnologías de análisis, como los algoritmos de aprendizaje automático, el procesamiento del lenguaje natural y las técnicas de optimización, mejoran las capacidades y la precisión de las soluciones de software de análisis prescriptivo. Estas innovaciones permiten a las organizaciones obtener información más profunda de sus datos, tomar decisiones más informadas y descubrir patrones o correlaciones nunca antes vistos. Además, a medida que surgen y maduran nuevas tecnologías, las posibles aplicaciones del análisis prescriptivo se expanden en todas las industrias, lo que crea nuevas oportunidades para que las empresas optimicen las operaciones, mitiguen los riesgos e impulsen el crecimiento.

Oportunidades

• Aumentar la conciencia sobre la analítica prescriptiva

Organizations are becoming more knowledgeable about the capabilities of prescriptive analytics in optimizing decision-making processes; there is a growing demand for these solutions. With greater awareness comes a recognition of the potential benefits, including improved operational efficiency, enhanced competitiveness, and better resource allocation. Moreover, as stakeholders witness successful implementations and case studies showcasing tangible results, confidence in prescriptive analytics grows, further fueling its adoption. This rising awareness fosters a conducive environment for market expansion as businesses increasingly prioritize data-driven strategies to drive innovation and achieve strategic objectives.

• Rise of Regulatory Compliance

Regulatory compliance imposes stringent standards on industries such as finance, healthcare, and pharmaceuticals, necessitating accurate and proactive risk management measures. Prescriptive analytics equips organizations with the capability to analyze vast amounts of data, anticipate potential compliance issues, and recommend optimal strategies to ensure adherence to regulations. The imperative thus drives the demand for prescriptive analytics solutions for businesses to stay compliant with evolving regulatory frameworks while maintaining operational efficiency and competitiveness.

Restraints/Challenges

• Complex Implementation Processes

Integrating these advanced analytical tools into existing IT infrastructure often requires extensive customization, data integration, and system integration efforts. Organizations face challenges in aligning prescriptive analytics solutions with their specific business processes and objectives, leading to complexities in implementation. Additionally, ensuring seamless interoperability with diverse data sources and systems further adds to the complexity.

• High Costs of Maintenance

Beyond the initial investment in acquiring prescriptive analytics tools, organizations often encounter substantial ongoing expenses associated with software updates, hardware upgrades, and personnel training. These costs can strain budgets and resources, particularly for smaller enterprises or those operating on tight margins. The complexity of maintaining prescriptive analytics systems, including troubleshooting technical issues and ensuring data quality, further contributes to the financial burden. Organizations hesitate to adopt or expand their use of prescriptive analytics due to concerns about long-term sustainability and return on investment.

This market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Prescriptive Analytics Market Scope

The market is segmented on the basis of component, deployment model, organization size and end user. The growth among segments helps you analyze niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.

Deployment Model

• Cloud
• On-Premises

Component

• Solutions
  • Financial Analytics
    • Fraud Detection
    • Profitability Management
    • Governance
    • Risk and Compliance Management
    • Others
  • Risk Analytics
    • Cyber Risk Management
    • Operational Risk Management
    • Credit and Market Risk Management
    • Others
  • Marketing Analytics
    • Predictive Modeling
    • Yield Management
    • Product and Service Development Strategies
    • Others
  • Sales Analytics
    • Sales Life Cycle Management
    • Sales Rep Efficiency Management
    • Others
  • Customer Analytics
    • Customer Segmentation and Clustering
    • Customer Behavior Analysis
    • Monitoring Customer Loyalty and Satisfaction
    • Others
  • Web and Social Media Analytics
    • Social Media Management
    • Search Engine Optimization
    • Performance Monitoring
    • Competitor Benchmarking
  • Supply Chain Analytics
    • Distribution and Logistics Optimization
    • Inventory Management
    • Manufacturing Analysis
    • Others
  • Network Analytics
    • Intelligent Network Optimization
    • Traffic Management
    • Others
  • Others
• Services
  • Managed Services
  • Professional Services
  • Consulting
  • Integration
  • Deployment

Organization Size

• Small and Medium-Sized Enterprises
• Large Enterprises

Application

• Risk Management
• Operation Management
• Revenue Management
• Network Management
• Worforce Management
• Supply Chain Management
• Other

Business Fuction

• HR
• Sales
• Marketing
• Finance
• Operations

Data Type

• Unstructured
• Semi- Structured
• Structured

End User

• Banking
• Financial Services
• Insurance
• Telecommunications and IT
• Retail and e-Commerce
• Healthcare and Life Sciences
• Manufacturing
• Government and Defense
• Energy and Utilities
• Transportation and Logistics
• Others

Prescriptive Analytics Market Region Analysis/Insights

The market is analyzed and market size, volume information is provided by country, component, deployment model, organization size and end user as referenced above.

The countries covered in the market report are U.S., Canada, Mexico, Brazil, Argentina and Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA).

North America dominates the market due to a heightened awareness about the significance of predictive analytics measures among businesses in the region. Rapid technological advancements, especially in machine learning and big data analytics, have fueled the adoption of predictive analytics solutions. Additionally, North America boasts a strong presence of established market players and innovative startups, contributing to the growth of the sector. This combination of factors positions North America as a leader in driving advancements and adoption of predictive analytics solutions.

Asia-Pacific is expected for substantial growth in the market, primarily due to the increasing implementation and widespread acceptance of advanced predictive analytics solutions. These technologies enable businesses to gain valuable insights, optimize operations, and make data-driven decisions, thereby driving efficiency and competitiveness. With a rapidly evolving technological landscape and a growing emphasis on innovation, businesses across diverse sectors in the Asia-Pacific are embracing predictive analytics to stay ahead of the curve and capitalize on emerging opportunities. This trend is expected to fuel significant expansion in the region's economy, fostering a dynamic environment for innovation and growth.

The country section of the global sales force automation software market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Competitive Landscape and Prescriptive Analytics Market Share Analysis

The market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to the market.

Some of the major players operating in the market are:

• Microsoft (U.S.)
• Oracle (U.S.)
• SAP SE (Germany)
• SAS Institute Inc. (U.S.)
• Google (U.S.)
• Salesforce (U.S.)
• Amazon Web Services, Inc. (U.S.)
• Hewlett Packard Enterprise Development LP (U.S.)
• Teradata (U.S.)
• ALTERYX, INC. (U.S.)
• FICO (U.S.)
• Altair Engineering, Inc. (U.S.)
• Domo, Inc. (U.S.)
• Cloudera, Inc. (U.S.)
• Board International (Switzerland)
• TIBCO Software Inc. (U.S.)
• Hitachi Vantara LLC (Japan)
• Happiest Minds (India)
• Dataiku (France)
• QlikTech International AB (Sweden)

SKU-13576