As per Market Research Future Analysis, the Operational Analytics market is poised for significant growth, expanding from USD 11.07 billion in 2024 to USD 31.72 billion by 2032, with a CAGR of 14.06% during the forecast period. The market was valued at USD 9.53 billion in 2023, driven by the increasing need for process optimization and the rise of IoT-enabled technologies.
The Operational Analytics market is characterized by several key trends and highlights.
Key players include IBM Corporation, Microsoft Corporation, Oracle Corporation, SAS Institute, Hewlett Packard Enterprise, SAP SE, and Alteryx.
The key market drivers enhancing market growth are the increased need for process and operations optimization, control, and data explosion due to the emergence of IOT-enabled technology
Source: Secondary Research, Primary Research, Market Research Future Database, and Analyst Review
With the evolving IT industry and the growing complexity of IT environments, the generation of operational data has increased significantly. In the past, more than traditional data analytics tools were needed in analyzing large operational data, leading to low returns on investment. However, the emergence of IT Operations Analytics (ITOA) solutions has revolutionized the way organizations analyze operational data. These solutions enable organizations to effectively identify the underlying causes of IT system performance issues and analyze them in a scalable and cost-effective manner. By deploying ITOA solutions, organizations can analyze vast amounts of operational data from different applications.
Real-time analytical capabilities enhance analytical outcomes, providing organizations with valuable insights. This factor drives the Market CAGR.
Additionally, The Operational Analytics Industry comprises enterprises that contribute to the significant growth of the Operational Analytics Market Application. IT operational analytics are vital in improving operational efficiencies, enhancing capacity management, and reducing mean time to repair (MTTR) or mean time to identify (MTTI) by up to 70%. These analytics solutions automate the collection, organization, and identification of data patterns in complex and rapidly changing IT environments. Operational analytics provide timely and actionable information, enabling faster problem detection and improving IT system performance. This allows users to address issues and minimize resolution time efficiently.
Thus, these factors drive the Operational Analytics market revenue.
Based on application, the Operational Analytics market segmentation includes customer management and fraud detection. The customer management segment dominated the market due to its significant impact on business performance and customer satisfaction. Operational analytics in customer management gives businesses valuable insights into customer behavior, preferences, and needs. By analyzing customer data, organizations can enhance customer segmentation, improve personalized marketing strategies, optimize customer service processes, and identify opportunities for upselling and cross-selling.
The Operational Analytics market segmentation, based on vertical, includes energy & utilities and financial services. The financial services segment dominated the market because financial institutions rely heavily on operational analytics to optimize business operations, manage risks, detect fraud, and enhance regulatory compliance. Operational analytics enables financial services organizations to analyze vast amounts of data related to transactions, customer behavior, market trends, and internal processes to make informed decisions and improve overall operational efficiency.
The Operational Analytics market segmentation, based on type, includes software and services. The software segment dominates the market by providing organizations with tools to collect, analyze, and derive insights from operational data. These solutions offer advanced analytics, data visualization, and reporting features, enabling businesses to optimize operations and make better decisions. With the increasing need for real-time monitoring, predictive analytics, and process optimization, the demand for operational analytics software is high across various industries.
Based on Deployment, the Operational Analytics market segmentation includes on-cloud and on-premise. The on-cloud segment dominated the market because cloud-based Deployment allows businesses to access and analyze their operational data from anywhere, at any time, using various devices.
Figure1: Operational Analytics Market, by Deployment, 2022&2032(USD billion)
Source: Secondary Research, Primary Research, Market Research Future Database, and Analyst Review
By Region, the study provides market insights into North America, Europe, Asia-Pacific, and Rest of the World. The North American operational analytics market will dominate because the presence of players in the Region and technological advancements drives the software segment.
Further, the major countries studied in the market report are The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure2: OPERATIONAL ANALYTICS MARKET SHARE BY REGION 2022 (%)
Source: Secondary Research, Primary Research, Market Research Future Database, and Analyst Review
Europe's Operational Analytics market accounts for the second-largest market share. As the demand for streamlined processes and improved operations continues to grow, the Region is experiencing a surge in technological innovation. Companies are seeking out cutting-edge solutions to maximize efficiency and productivity while also minimizing costs and waste. Further, the German Operational Analytics market held the largest market share, and the UK has been growing rapidly. It turns out it's the fastest-growing market in the European Region.
The Asia-Pacific Operational Analytics Market is expected to grow fastest from 2023 to 2032. This is due to the emergence of IOT-enabled technology and the rapid rise of technology adoption. Moreover, China’s Operational Analytics market held the largest market share, and the Indian Operational Analytics market was the fastest-growing market in the Asia-Pacific region.
Leading market players are investing heavily in research and development to expand their product lines, which will help the Operational Analytics market grow even more. Market participants are also undertaking various strategic activities to expand their footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. The Operational Analytics industry must offer cost-effective items to expand and survive in a more competitive and rising market climate.
Manufacturing locally to minimize operational costs is one of the key business tactics manufacturers use in the Operational Analytics industry to benefit clients and increase the market sector. In recent years, the Operational Analytics industry has offered some of the most significant medical advantages. Major players in the Operational Analytics market include IBM Corporation (US), Oracle Corporation (US), Microsoft Corporation (US), SAS Institute (US), Hewlett Packard Enterprise (US), SAP SE (Germany), and Alteryx (US). Cloudera (US), Bentley Systems (US), Splunk (US), and other companies are trying to boost market demand by investing in research and development projects.
It's a smart move, as innovation is often the key to staying ahead of the competition and meeting the needs of consumers.
SolarWinds expanded its IT operations management portfolio to address the requirements of IT professionals navigating hybrid IT environments and adapting to economic challenges.
SAP SE, a leading German multinational software company, developed the Corona Warn App for the German government. Based on Apple and Google's Exposure Notification Framework, this app aims to help combat the spread of COVID-19 by alerting users of potential exposure.
IBM Corporation (US)
Microsoft Corporation (US)
SAS Institute (US)
Hewlett Packard Enterprise (US)
SAP SE (Germany)
Alteryx (US).
Cloudera (US)
Customer Management
Fraud Detection
Energy & Utilities
Financial Services
Software
Services
On-Cloud
On-Premise
US
Canada
Germany
France
UK
Italy
Spain
Rest of Europe
China
Japan
India
Australia
South Korea
Australia
Rest of Asia-Pacific
Middle East
Africa
Latin America
| Attribute/Metric | Details |
| Market Size 2023 | USD 9.53 billion |
| Market Size 2024 | USD 11.07 billion |
| Market Size 2032 | USD 31.72 billion |
| Compound Annual Growth Rate (CAGR) | 14.06%(2024-2032) |
| Base Year | 2023 |
| Market Forecast Period | 2024-2032 |
| Historical Data | 2018- 2022 |
| Market Forecast Units | Value (USD Billion) |
| Report Coverage | Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends |
| Segments Covered | Application, Vertical, Type, Deployment, and Region |
| Geographies Covered | North America, Europe, AsiaPacific, and the Rest of the World |
| Countries Covered | The U.S., Canada, German, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil |
| Key Companies Profiled | IBM Corporation (US) Oracle Corporation (US) Microsoft Corporation (US) SAS Institute (US) Hewlett Packard Enterprise (US) SAP SE (Germany) Alteryx (US). Cloudera (US) Bentley Systems (US) Splunk (US) |
| Key Market Opportunities | The growing reliance on IT infrastructure across industries worldwide has significantly heightened the demand for operational analytics. |
| Key Market Dynamics | The Operational Analytics Industry consists of enterprises providing major growth to the Operational Analytics Market Application. |
Operational Analytics Market Highlights:
Frequently Asked Questions (FAQ):
The Operational Analytics market size was valued at USD
9.53 Billion in 2023.
The market is projected to grow at a CAGR of 14.06% during the forecast period, 2024-2032.
North America had the largest share of the market
The key players in the market are IBM Corporation (US), Oracle Corporation (US), Microsoft Corporation (US), SAS Institute (US), Hewlett Packard Enterprise (US), SAP SE (Germany), and Alteryx (US).
The Software Operational Analytics category dominated the market in 2022.
The On-Cloud had the largest share in the market.
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Research Analyst Level II With a technical background in information technology & semiconductors, shubham has 4.5+ years of experience in market research and analytics with the tasks of data mining, analysis, and project execution. he is the poc for our clients, for their consulting projects running under the ict/semiconductor domain. shubham holds a bachelor’s in information and technology and a master of business administration (mba). shubham has executed over 150 research projects for our clients under the brand name market research future in the last 2 years. his core skill is building the research respondent relation for gathering the primary information from industry and market estimation for niche markets. he is having expertise in conducting secondary & primary research, market estimations, market projections, competitive analysis, analysing current market trends and market dynamics, deep-dive analysis on market scenarios, consumer behaviour, technological impact analysis, consulting, analytics, etc. he has worked on fortune 500 companies' syndicate and consulting projects along with several government projects. he has worked on the projects of top tech brands such as ibm, google, microsoft, aws, meta, oracle, cisco systems, samsung, accenture, vmware, schneider electric, dell, hp, ericsson, and so many others. he has worked on metaverse, web 3.0, zero-trust security, cyber-security, blockchain, quantum computing, robotics, 5g technology, high-performance computing, data centers, ai, automation, it equipment, sensors, semiconductors, consumer electronics and so many tech domain projects.
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