Cognitive Operations Market Scope
Cognitive operations refer to self-learning algorithms assess and function, by making use of data mining, pattern recognition, along with natural language processing software. Increasing need for Full stack monitoring solutions from IT Industry led to a rise in demand for cognitive operation solutions to manage increasingly complex and dynamic environments with less effort to improve productivity. In addition, market players are focusing on technological developments such as integrations of cloud-based, machine learning and real-time data analytics solutions with cognitive operations and increasing demand of cognitive operations from numerous industry verticals such as healthcare and life sciences, banking and financial services, IT, telecom, and others driving the demand for cognitive operation solutions.
According to AMA, the Global Cognitive Operations market is expected to see growth rate of 23.67%
Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global Cognitive Operations market throughout the predicted period.
IBM (United States), Splunk (United States), CA Technologies (United States), Micro Focus (United Kingdom), VMware (United States), HCL Technologies (India), AppDynamics (United States), BMC Software (United States), New Relic (United States), Appnomic (India), CloudFabrix (United States), Loom Systems (United States), Dynatrace (United States), Zenoss (United States), Ymor (United States), Devo (United States), Logz.io (United States) and ServiceNow (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Correlata (Israel), ScienceLogic (United States), Sumo Logic (United States), RISC Networks (United States), Bay Dynamics (United States), Corvil (Ireland) and Interlink Software Services (United Kingdom).
About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.
Segmentation Overview
The study have segmented the market of Global Cognitive Operations market , by Application (IT Operations Analytics, Application Performance Management, Infrastructure Management, Network Analytics, Security analytics and Others [Log and Event Management, Predictive Maintenance, Anomaly Detection, App Experience Analytics, and Root Cause Analytics]) and Region with country level break-up.
On the basis of geography, the market of Cognitive Operations has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).
Market Leaders and their expansionary development strategies
29th March 2019, BMC Software engaged in IT solutions for the digital enterprise, announced a strategic partnership with Automation Anywhere, provider of robotic process automation (RPA) services, to include RPA across service desk processes which will help to extend the BMC Helix cognitive automation’s capabilities.
Market Trend
- Growing Prevalence of Cloud-Based Cognitive Operations Solutions
- Emergence of Machine Learning (MI) and Real Time Data Analytics Solutions for Cognitive Operations
Market Drivers
- Power To Reduction Management Effort and Improve Productivity
- Ability to Anticipate and Adjust As Per Business Needs
- Provide Quick and Cost Effective Resolution to Complex Analytical Problems
Opportunities
- Rise In Demand from Emerging Economies Owing to Growing IT Infrastructure
- Increasing Adoption of Cognitive Operations in Small and Medium Enterprises
Restraints
- Lack of Skilled Professionals to Adopt New Technology
- Complexity Involved in the Implementation of Cognitive Operations
Challenges
- Integration of Cognitive Operations with Conventional Systems
Key Target Audience
Artificial Intelligence (AI), Cognitive, and Analytics Solutions and Services Providers, Value-Added Resellers (VARs), Managed Service Providers (MSPs), Cloud Services Providers, System Integrators, Training and Education Services Providers, Information Technology (IT) Directors/Consultants, Small and Medium-Sized Enterprises (SMEs) and Others