Operational Intelligence (OI) is a technology used for improving the visibility of events that could occur in a business and discovering insights by the IT department across different organization verticals. It is a technology that is based on real-time information. Behind every IT infrastructure and system running in the business, there is a massive amount of machine-generated data. This data needs to be analyzed with the help of the OI tools. This data is of value to organizations as the data can be used to improve the overall efficiency of the business.

The global operational intelligence market was valued at $XX million in 2018 and is expected to reach $14364.45 million by 2027, growing at a CAGR of 12.87% during the forecast period. The base year considered for the market study is 2018, and the forecasted period is between 2019 and 2027.

Some of the factors that are driving the global operational intelligence market are:

• Increasing focus on real-time decision-making
• Organizations emphasizing on improving operational efficiency and productivity
• Need for in-depth data analysis in order to identify future risks
• Rapidly changing business environments

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The primary factor driving the OI market is the increasing focus on real-time decision-making. OI enables an integrated, flexible, and real-time decision-making provision for senior-level management in any enterprise. OI solutions automate the decision-making process, which eradicates process delays. These solutions are strategically and deliberately used by organizations to reduce operating costs, upgrade the business processes, and enhance their performance. Organizations also obtain competitive gain through OI solutions because they convert raw marketing and customer data into useful data, in turn, helping the companies to outpace their competitors.

The end-user industry is primarily dominated by the retail sector, which accounted for around 16% of share in the year 2018. The retail market generates an immense volume of transaction data that is collected from their operational systems such as financial & point-of-sale systems, and e-commerce or online retailing solutions. The data collected can be processed to achieve customer insights, understanding the customer needs better, and performance of the product in the market. Retailers across the globe are constantly focusing on creating new ways to collect data during the buying process of their consumers that will help them to leverage the insights of their collected data in order to recognize its potential monetary value. Real-time data sharing by retailers with suppliers and vendors can provide them with an opportunity to improvise their inventory management, resource allocation, efficient planning, and better-quality control process. Insight from operational intelligence data helps them answer critical strategic and operational questions associated with customer segmentation and analytics, merchandising, and supply chain efficiency.

With the increased adoption of operational intelligence, new challenges have been introduced in the market. Lack of skilled professionals, complexity in data transferring, handling to manage business requirements, and high cost are some of the major issues that are profoundly pulling back the operational intelligence market. As the market is expanding, the cost of initial investment and implementation is increasing, owing to the risen demand and customization of products as per the requirements. The deployment of OI is an expensive process. The complex programming in the process, as well as data integration, involves additional time and cost. Also, most vendors charge extra for software updates.  Furthermore, OI software is complex and usually requires consultants or skilled professionals to operate the software.

The report on global operational intelligence includes segmentation on the basis of deployment mode, organization size, and end-user industry.

Market by Deployment Mode:

• On-Premises
• Cloud

Market by Organization Size:

• Large Enterprise
• Small Medium Enterprise (SMEs)

Market by End User Industry:

• Retail
• Manufacturing
• Transportation & Distribution
• IT & Telecommunication
• Healthcare
• Banking, Financial Services & Insurance (BFSI)
• Media & Entertainment
• Energy & Utilities
• Government
• Other End-User Industries

The report scope is widely categorized on the basis of its major components, which includes hardware, software, and services (OI platforms). However, the total market revenue in the report is calculated as the sum of software & service components only. Revenue from the hardware component is excluded from the scope of the report.

Geographically, the global operational intelligence market has been segmented into four major regions, which includes:

• North America Operational Intelligence Market: the United States & Canada
• Europe Operational Intelligence Market: United Kingdom, Germany, France, Spain, Italy, and Rest of Europe
• Asia Pacific Operational Intelligence Market: China, India, Japan, Australia, South Korea, and Rest of Asia Pacific
• Rest of World: Latin America, Middle East & Africa

In terms of geography, North America is the global leader in operational intelligence market. In 2018, it accounted for around 42% of the market share. North America includes the U.S. and Canada. The rising focus towards data-driven business strategies & continual increase in the business data across numerous end-user industries is driving the North American operational intelligence market. The adoption of operational intelligence solutions has increased in North America. The US is considered the leading country in the global OI market because of the presence of major OI vendors in the country. In recent years, the market in the US has witnessed the increased emergence of mobile and cloud-based OI solution providers.

Moreover, Asia Pacific is anticipated to be the fastest-growing during the forecast period. Asia Pacific market is primarily driven by government initiatives to support digital infrastructure in Asian countries, increasing support to data analytics, established IT service sector, and growing analytics market. In 2015, the Indian government launched “Digital India” initiative to comprehensively upgrade digital infrastructure in the country and increasing the adoption of the digital platform across the industry verticals. The initiative is aimed at providing more precedence to the new-age technologies, including Machine Learning (ML), Artificial Intelligence (AI), Internet of Things (IoT), and others. In 2016, the Chinese government defined an initiative named ‘Digital China’ vision. Additionally, Made in China 2025 focuses on integrating mobile internet, big data, cloud computing, and IOT into businesses in various traditional industries to enhance operational efficiency across China.

Global operational intelligence market is segmented on the basis of its end-user industries, such as retail, manufacturing, transportation & distribution, IT & telecommunication, healthcare, Banking, Financial Services & Insurance (BFSI), media & entertainment, energy & utilities, government, and other end users. Additionally, the market is also divided on the basis of its deployment mode and organization type. Deployment mode segment includes On-Premises & cloud-based deployment, whereas the organization type segment comprises of large enterprise and small, & medium enterprises (SMEs).

The major companies operating in the global operational intelligence market are:

• International Business Machines Corporation (IBM)
• SAP SE
• Vitria Technology, Inc.
• OpenText Corporation
• Splunk, Inc.
• Others

Company profiles of the prominent market players are discussed in detail. Most of the companies are focusing on strategies such as agreements, merger & acquisition, partnership, contracts, and new product launch, in order to gain a competitive edge over other companies.  For Instance, in July 2019, OpenText™ and Mastercard collaborated to enhance the financial efficiencies across global supply chains, starting in the automotive industry. In March 2019, a French start-up, Streamdata.io, a software publisher specializing in event-driven API Management was acquired by Axway Software. In January 2019, Version 8.0 of Real-time Operational Decisions platform, which is integrated with JUNI was introduced by OpsVeda.

Key findings of the global operational intelligence market are:

• North America is the leader in the global operational intelligence market.
• Asia Pacific is anticipated to be the fastest-growing region in the global operational intelligence market, which is growing at a CAGR of XX% during the forecasted period 2019-2027.
• Cloud-based deployment of OI platforms or solutions is the fastest evolving deployment mode.
• Energy and Utilities end-user industry & large enterprise are the key segments in the OI market.
• The need for real-time data analytics for real-time decision-making is the primary growth driver for the market.
• Big Data & Internet of Things (IoT) are transforming the analytics landscape.