Market Size of North America Operational Intelligence Industry
| Study Period | 2019 - 2029 |
| Base Year For Estimation | 2023 |
| Market Size (2024) | USD 1.57 Billion |
| Market Size (2029) | USD 2.73 Billion |
| CAGR (2024 - 2029) | 9.50 % |
| Market Concentration | Low |
Major Players
*Disclaimer: Major Players sorted in no particular order |
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North America Operational Intelligence Market Analysis
The North America Operational Intelligence Market size is estimated at USD 1.57 billion in 2024, and is expected to reach USD 2.73 billion by 2029, growing at a CAGR of 9.5% during the forecast period (2024-2029).
The need for data quality management, discovery, and visualization compels businesses to adopt operational intelligence software. On-premise ESB and BPM (business process management) solutions are well suited for vertical scalability while integrating an enterprise’s complex internal systems and architecture.
- Operational intelligence (OI) is a form of dynamic, real-time business analytics that delivers insights into business and IT operations. These solutions provide enterprises with the opportunity to streamline the process of data collection and analysis. Enterprises can monitor and troubleshoot in real-time and improve their security and compliance methods, thereby speeding up the delivery of their services to customers.
- Enterprises cannot tap the full potential of the available data for making decisions using traditional analytical tools, such as business intelligence and data warehouse tools. These conventional information management systems cannot analyze the data in any practical and actionable way due to their high volume and diversity.
- Cisco Systems estimates that around 42% of all data generated will likely be from machines, including sensors, networks, security systems, servers, storage, and applications. Real-time data analytics can influence the IoT and Big Data capabilities to enhance business operations.
- Moreover, the challenge of interoperability between different devices and platforms has complicated issues for businesses, as it is challenging to connect dynamic applications, services, and data. Therefore, the shift to cloud solutions helps enterprises address their current integration challenges while giving them the manageability, scalability, and reliability they need for the future.
- Further, the spread of COVID-19 accelerated the adoption of operational intelligence tools. Organizations had to adopt digitally enabled solutions to accelerate the performance of operations seamlessly while working remotely.
