Marché mondial de l’analyse opérationnelle – Tendances et prévisions du secteur jusqu’en 2031

Analyse du marché et de la taille de l'analyse opérationnelle

Le marché de l'analyse opérationnelle connaît une croissance significative, tirée par la demande croissante d'informations sur les données en temps réel pour améliorer l'efficacité opérationnelle et la prise de décision dans divers secteurs. Les organisations exploitent de plus en plus l'analyse opérationnelle pour obtenir un avantage concurrentiel en optimisant leurs processus commerciaux, en réduisant les coûts et en améliorant la satisfaction des clients. La prolifération du big data, les progrès de l'intelligence artificielle et de l'apprentissage automatique, ainsi que l'adoption des appareils IoT (Internet des objets) sont des facteurs clés contribuant à l'expansion du marché. Des secteurs tels que la fabrication, la santé, la vente au détail et la logistique sont parmi les principaux adoptants de solutions d'analyse opérationnelle, car ils cherchent à exploiter la puissance des données pour stimuler la productivité et l'innovation. De plus, l'accent croissant mis sur la transformation numérique et le besoin de capacités d'analyse prédictives et prescriptives propulsent davantage la croissance du marché. 

Français La taille du marché mondial de l'analyse opérationnelle était évaluée à 11,85 milliards USD en 2023 et devrait atteindre 43,14 milliards USD d'ici 2031, avec un TCAC de 17,53 % au cours de la période de prévision de 2024 à 2031. En plus des informations sur le marché telles que la valeur du marché, le taux de croissance, les segments de marché, la couverture géographique, les acteurs du marché et le scénario du marché, le rapport de marché organisé par l'équipe de recherche sur le marché de Data Bridge comprend une analyse approfondie des experts, une analyse des importations/exportations, une analyse des prix, une analyse de la consommation de production et une analyse du pilon.

Portée du rapport et segmentation du marché       

Market Definition

Operational Analytics refers to the practice of using data analysis and business intelligence to improve day-to-day operations within an organization. This involves collecting, processing, and analyzing data generated by various operational systems and processes to gain insights that can enhance efficiency, productivity, and decision-making. Operational analytics focuses on real-time or near-real-time data to provide actionable insights that help organizations optimize their operations, reduce costs, improve customer satisfaction, and increase overall performance.                     

Operational Analytics Market Dynamics

Drivers

• Increasing Demand for Real-time Data Insights

Organizations are increasingly prioritizing real-time data insights to enhance operational efficiency, improve decision-making, and maintain a competitive edge. The ability to analyze data as it is generated allows companies to promptly identify and resolve issues, optimize processes, and adapt quickly to changing conditions. This real-time analysis capability is especially critical in industries such as finance, healthcare, and manufacturing, where timely decision-making can significantly impact outcomes. As a result, the demand for operational analytics tools that provide immediate data insights is driving significant growth in the market.

• Advancements in Artificial Intelligence and Machine Learning

The integration of artificial intelligence (AI) and machine learning (ML) technologies into operational analytics is revolutionizing data analysis. These advancements are enabling more sophisticated and accurate data interpretation, predictive capabilities, and automation. AI and ML algorithms can process vast amounts of data quickly, identifying patterns and anomalies that human analysts might miss. This leads to more informed decision-making and the ability to predict and mitigate potential issues before they arise. As AI and ML technologies continue to evolve, their application in operational analytics software is expected to drive substantial market growth.

Opportunities

• Development of Industry-specific Solutions

Tailoring analytics solutions to the unique needs of industries such as healthcare, retail, and logistics addresses specific operational challenges and enhances the value of the insights generated. For instance, in healthcare, operational analytics can improve patient care and streamline administrative processes, while in retail, it can optimize inventory management and customer experiences. By focusing on the distinct requirements of each industry, these specialized solutions are more effective and appealing to potential users, thereby creating new opportunities for market expansion.

• Integration with Cloud Computing

The integration of operational analytics with cloud computing platforms offers scalable and cost-effective solutions that are accessible to a wider range of organizations. Cloud-based analytics solutions eliminate the need for substantial upfront investments in infrastructure, making advanced analytics more attainable for small and medium-sized enterprises (SMEs). In addition, cloud platforms provide the flexibility to scale resources up or down based on demand, ensuring that organizations can handle varying data loads efficiently. This integration not only reduces costs but also enhances the accessibility and adoption of operational analytics solutions across diverse sectors.

Restraints/Challenges

• Complexity of Data Integration

Integrating data from multiple sources and systems presents significant challenges, requiring substantial investments in infrastructure and skilled personnel. Operational analytics solutions must be capable of aggregating and analyzing diverse datasets to provide comprehensive insights. However, the complexity of data integration can lead to issues with data quality, consistency, and accuracy. Organizations may face difficulties in merging disparate data types, formats, and systems, which can challenge the effective use of analytics tools.   

• Data Privacy and Security Concerns

The collection and analysis of large volumes of data inherently raise concerns about data privacy and security. These concerns are particularly pronounced in regulated industries such as healthcare and finance, where strict compliance with data protection laws is mandatory. Ensuring the security of sensitive information requires robust measures and technologies, which can be costly and complex to implement. Consequently, apprehensions about data breaches and compliance with regulations can hinder the widespread adoption of operational analytics solutions.

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.

Recent Developments

• In June 2023, Jaguar Land Rover (JLR) announced a collaboration with Everstream Analytics, a supply chain solutions provider. This partnership integrates AI into JLR’s supply chain management, enabling real-time monitoring and mitigating supply-related issues
• In March 2023, Insight Software, a leading technology company specializing in reporting, analytics, and performance management solutions, announced the expansion of its Angles Professional product line for Oracle. By integrating Logi Analytics, the company enhanced its offerings to create a tool beneficial for all business departments
• In February 2023, IBM launched its new Watson AIOps platform, leveraging AI and machine learning to automate IT operations and enhance decision-making processes

Operational Analytics Market Scope

The market is segmented on the basis of type, business function, application, deployment model, and industry vertical. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Type

• Software
• Service
  • Managed Services
  • Professional Services
    • Consulting Services
    • Deployment and Integration
    • Support and Maintenance

Business Function

• Information Technology
• Marketing
• Sales
• Finance
• Human Resources
• Others

Application

• Predictive Asset Maintenance
• Risk Management
• Fraud Detection
• Supply Chain Management

• Customer Management
• Workforce Management
• Sales and Marketing Management
• Others

Deployment Model

• On-Premises
• Hosted/ On-Cloud

Industry Vertical

• Telecommunication
• Retail and Consumer Goods
• Manufacturing
• Government and Defense
• Energy and Utilities
• Transportation and Logistics
• Others

Operational Analytics Market Regional Analysis/Insights

The market is analyzed and market size insights and trends are provided by country, type, business function, application, deployment model, and industry vertical as referenced above.

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

North America is expected to dominate the market due to firms in North America are often early adopters of emerging technologies, displaying a readiness to take calculated risks and adopt innovative solutions. This proactive approach provides them with a competitive edge in experience and expertise in implementing and optimizing IT operations analytics (ITOA) solutions. U.S.-based companies like Splunk, Oracle, Microsoft, and SAP are highly advanced and efficient in deploying operational analytics systems. These companies generate vast amounts of data, which they use to enhance IT operations.

Asia-Pacific is expected to witness significant growth due to growing awareness of the benefits of operational analytics, particularly in developing economies. Countries such as China, India, and Southeast Asian nations are increasingly recognizing the value of leveraging operational analytics to enhance efficiency, optimize processes, and make data-driven decisions. This heightened awareness is coupled with rapid technological advancements, expanding digital infrastructure, and increased investments in analytics solutions.

The country section of the 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 like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the 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 Operational Analytics Market Share Analysis

Le paysage concurrentiel du marché fournit des détails par concurrent. Les détails inclus sont la présentation de l'entreprise, les finances de l'entreprise, les revenus générés, le potentiel du marché, les investissements dans la recherche et le développement, les nouvelles initiatives du marché, la présence mondiale, les sites et installations de production, les capacités de production, les forces et les faiblesses de l'entreprise, le lancement du produit, la largeur et l'étendue du produit, la domination des applications. Les points de données ci-dessus fournis ne concernent que l'orientation des entreprises par rapport au marché.

Certains des principaux acteurs opérant sur le marché sont :

• IBM Corporation (États-Unis)
• Oracle (États-Unis)
• Microsoft (États-Unis)
• SAP SE (Allemagne)
• Hexagon AB (Suède)
• IMS Software, Inc. (États-Unis)
• Autodesk Inc. (États-Unis)
• Bentley Systems, Incorporated (États-Unis)
• Alteryx, Inc. (États-Unis)
• SAS Institute Inc. (États-Unis)
• Hewlett Packard Enterprise Development LP (États-Unis)
• Cisco Systems, Inc. (États-Unis)
• VMware, Inc. (États-Unis)
• Continuity Software Ltd. (Israël)
• ExtraHop Networks, Inc. (États-Unis)
• BMC Software, Inc. (États-Unis)
• Apptio, Inc. (États-Unis)
• Appnomic (États-Unis)
• Evolven Software (États-Unis)
• Splunk Inc. (États-Unis)

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