USD 12.72 Billion
Report ID:
SQMIG45E2223 |
Region:
Global |
Published Date: November, 2024
Pages:
197
|Tables:
66
|Figures:
73
Operational Analytics Market size was valued at USD 12.72 Billion in 2023 and is poised to grow from USD 14.6 Billion in 2024 to USD 38.37 Billion by 2032, growing at a CAGR of 14.8% during the forecast period (2025-2032).
Surging demand for real-time analytics in businesses around the world is projected to bolster the demand for operational analytics going forward. Rising adoption of big data and advanced analytics technologies is also expected to improve the scope of application for operational analytics providers. The launch of new digital transformation initiatives around the world and rising adoption of cloud platforms are also estimated to favor the global operational analytics market growth through 2032. Increasing efforts of organizations to gain a competitive advantage over others and advancements in analytics technologies are also slated to promote operational analytics demand. Emphasis on improving operational efficiency is also contributing to the rising sales of operational analytics solutions. However, challenges in data integration, high implementation costs, resistance to change, and dearth of skilled workforce are estimated to hamper operational analytics adoption across the forecast period and beyond.
Market snapshot - 2025-2032
Global Market Size
USD 12.72 Billion
Largest Segment
Cloud
Fastest Growth
On-premises
Growth Rate
14.8% CAGR
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Global Operational Analytics Market is segmented by Offering, Technology, Data Source, Application, End User and region. Based on Offering, the market is segmented into Solution (Cloud, and On-premises), Services (Professional Services (Consulting, System Integration & Implementation, Support & Maintenance), Managed Services). Based on Technology, the market is segmented into Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, and Diagnostic Analytics. Based on Data Source, the market is segmented into Machine Data, Wire Data, Agent Data, Synthetic Data, Human Data. Based on Application, the market is segmented into Log Management & Analysis, Application Performance Monitoring, Anomaly Detection and Root Cause Analysis, Network Management, IT Service Management, Infrastructure Management, Security & Event Management, and Others. Based on End User, the market is segmented into BFSI, Retail & eCommerce, Manufacturing, Healthcare & Life Sciences, IT & ITeS, Telecommunication, Transportation & logistics, Government & Defense, Energy & Utilities, and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
The demand for cloud-based operational analytics solutions is forecasted account for the largest global operational analytics market share going forward. Increasing migration of companies towards cloud platforms and rising emphasis on reducing operational costs are expected to help this segment bring in the most revenue in the future. Advancements in cloud technologies and rising awareness regarding its benefits such as low costs, easy deployment, high scalability and flexibility are helping this segment hold sway over others in the long run. Large as well as small and medium enterprises are cementing the dominance of this segment and driving revenue for market players.
On the other hand, on-premises deployment is slated to hold the second-largest share of the global operational analytics market in the future. Increasing emphasis on improving the security of operational analytics solutions and systems to maintain data privacy and security. High infrastructure and resource costs associated with on-premises deployment are expected to somewhat impede the adoption of on-premises solutions in the future. Imposition of stringent data privacy mandates and efforts to ensure compliance with the same are also expected to create new opportunities via this segment going forward. Developed countries are slated to be more suitable for providers of on-premises operational analytics solutions.
The BFSI segment is expected to account for a substantial chunk of the global operational analytics market share over the coming years. Rapidly surging demand for decreasing operational costs in financial institutions and banks around the world is expected to help promote the adoption of operational analytics in this segment. Operational analytics solutions can help BFSI companies to categorize and analyze customers with varying credit risks to optimize their operations and potentially reduce their losses. BFSI companies are also expected to utilize operational analytics software and solutions to provide personalized experiences to their customers and also develop novel personal banking suggestions as well.
Meanwhile, the demand for operational analytics in the retail & e-commerce segment is slated to rise at a robust pace over the coming years. Rapidly increasing disposable income of people around the world has led to a high demand for better retail infrastructure. High emphasis on improving retail experience, need for personalized marketing, and efforts to optimize supply chains are other factors that help this segment offer multiple new opportunities for operational analytics providers going forward. Boom in e-commerce activity around the world is also slated to help promote the adoption of operational analytics in retail & e-commerce industry vertical through 2032 and beyond.
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North America is anticipated to account for a dominant share of the global operational analytics industry. The presence of a developed IT infrastructure, rising adoption of data-driven decision-making, and willingness to invest in utilization of advanced analytics technologies are helping this region bring in the most revenue of all. The United States and Canada are anticipated to emerge as the most opportune markets in this region over the coming years. High investments in innovation of new analytics technologies and presence of a favorable regulatory framework are expected to bolster the dominance of this segment in the long run.
On the other hand, the demand for operational analytics in the Asia Pacific region is projected to increase at an impressive CAGR across the study period and beyond. Launch of new digital transformation initiatives, high emphasis on improving operational efficiency, and growing use of cloud-based technologies are creating new business scope for operational analytics providers. Rising internet and smart device proliferation coupled with boom in e-commerce activity are also slated to promote the adoption of operational analytics in the long run. China, India, South Korea, and Japan are estimated to be the leading markets for operational analytics companies looking to make a mark in the Asia Pacific region in the future.
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Operational Analytics Market Drivers
High Demand for Real-Time Data Analysis
Growing number of organizations are focusing on opting for real-time data insights to enhance decision-making and operational efficiency. Operational analytics tools enable businesses to process and analyze large volumes of data instantly thereby fulfilling the demand for real-time data analysis whilst driving the global operational analytics market outlook as well.
Efforts to Gain Competitive Advantage
Businesses across all industry verticals are currently equally matched in terms of resources and efforts to gain competitive advantage are promoting the use of advanced solutions such as operational analytics. Operational analytics not only improve efficiency but also increase the profitability of businesses to help them gain an edge over their competition.
Operational Analytics Market Restraints
Challenges in Data Integration
Businesses generate data from a wide variety of sources and legacy systems in different formats. Operational analytics requires all of this data to provide detailed insights. However, integrating this diverse volume of datasets from multiple sources is a challenging and time-consuming process that impedes the global operational analytics industry.
Absence of Skilled Professionals
Operational analytics are highly advanced tools and solutions that require significant expertise in data analysis, data analysis, artificial intelligence, machine learning, and operations. However, the world is faced with a shortage of such skilled professionals thereby limiting the adoption of operational analytics solutions in the long run.
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Operational analytics companies should focus on addressing the issues of data integration to stand out from the competition in the long run. Targeting manufacturing, BFSI, retail & e-commerce, and healthcare industries is expected to offer lucrative business scope for operational analytics companies over the coming years. Providing predictive and prescriptive analytics is slated to become essential for all operational analytics market players through 2032.
SkyQuest's ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, rising demand for real-time data analysis and growing efforts of businesses to gain competitive advantage over one another are slated to drive the demand for operational analytics in the future. However, dearth of skilled professionals and challenges in data integration are slated to impede market development potential in the future. High emphasis on data-driven decision-making is slated to help North America to account for a dominant share of the global operational analytics industry through 2032. Developing custom analytics solutions and providing predictive analytics can help operational analytics companies maximize their business scope in the long run.
Report Metric | Details |
---|---|
Market size value in 2023 | USD 12.72 Billion |
Market size value in 2032 | USD 38.37 Billion |
Growth Rate | 14.8% |
Base year | 2024 |
Forecast period | 2025-2032 |
Forecast Unit (Value) | USD Billion |
Segments covered |
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Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
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Customization scope | Free report customization with purchase. Customization includes:-
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Table Of Content
Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
Methodology
For the Operational Analytics Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Operational Analytics Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Analyst Support
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Operational Analytics Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Operational Analytics Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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Operational Analytics Market size was valued at USD 12.72 Billion in 2023 and is poised to grow from USD 14.6 Billion in 2024 to USD 38.37 Billion by 2032, growing at a CAGR of 14.8% during the forecast period (2025-2032).
Operational analytics companies should focus on addressing the issues of data integration to stand out from the competition in the long run. Targeting manufacturing, BFSI, retail & e-commerce, and healthcare industries is expected to offer lucrative business scope for operational analytics companies over the coming years. Providing predictive and prescriptive analytics is slated to become essential for all operational analytics market players through 2032. 'IBM Corporation (USA) ', 'Oracle Corporation (USA) ', 'Microsoft Corporation (USA) ', 'SAS Institute Inc. (USA) ', 'Hewlett-Packard Enterprise (USA) ', 'SAP SE (Germany) ', 'Alteryx, Inc. (USA) ', 'Cloudera, Inc. (USA) ', 'Bentley Systems, Inc. (USA) ', 'Splunk, Inc. (USA) ', 'TIBCO Software Inc. (USA) ', 'QlikTech International AB (Sweden) ', 'MicroStrategy Incorporated (USA) ', 'Domo, Inc. (USA) ', 'Alphabet Inc (USA) ', 'Salesforce Inc (USA) ', 'Sisense Inc. (USA) ', 'Infor (USA) ', 'Zoho Corporation (India) ', 'Birst, Inc. (USA)'
Growing number of organizations are focusing on opting for real-time data insights to enhance decision-making and operational efficiency. Operational analytics tools enable businesses to process and analyze large volumes of data instantly thereby fulfilling the demand for real-time data analysis whilst driving the global operational analytics market outlook as well.
Emphasis on Predictive and Prescriptive Analytics: Operational analytics companies should focus on providing predictive and prescriptive analytics to boost revenue generation in the future. These features allow businesses to anticipate future events based on current and past data to help them make proactive decisions in the long run. Rising competition in businesses around the world makes this, an indispensable operational analytics market trend for the future.
North America is anticipated to account for a dominant share of the global operational analytics industry. The presence of a developed IT infrastructure, rising adoption of data-driven decision-making, and willingness to invest in utilization of advanced analytics technologies are helping this region bring in the most revenue of all. The United States and Canada are anticipated to emerge as the most opportune markets in this region over the coming years. High investments in innovation of new analytics technologies and presence of a favorable regulatory framework are expected to bolster the dominance of this segment in the long run.
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Report ID: SQMIG45E2223
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