Market Research Report
Cognitive Computing Materials Market, By Deployment Type, By End-user, By Application, By Industry, and by Region - Size, Share, Outlook, and Opportunity Analysis, 2019 - 2027
|Published by||Coherent Market Insights||Product code||927676|
|Published||Content info||140 Pages
Delivery time: 2-3 business days
|Cognitive Computing Materials Market, By Deployment Type, By End-user, By Application, By Industry, and by Region - Size, Share, Outlook, and Opportunity Analysis, 2019 - 2027|
|Published: February 27, 2020||Content info: 140 Pages||
Cognitive computing refer to new hardware and software which is used for stimulating human functions and help to improve human decision making. It is a technology providing platform, which is based on the scientific disciplines of signal processing and artificial intelligence. These platforms are comprised of natural language processing (NLP), reasoning, speech recognition and vision, machine learning and human-computer interaction. In other words, cognitive computing simulates the human thought process in the computerized model, in order to create automated IT systems that computing can solve problems without human involvement. Cognitive computing has been considered as more innovative as it uses a unique method of gaining knowledge from structured and unstructured data .Thus, in turn various organizations have started adopting cognitive technology owing to the recent advancements in digital technology.
Higher adoption of cognitive computing, growing number of unstructured and complex data is the major factor driving the growth of global cognitive computing market. The advancement in cognitive computing such as cloud, mobile and data analytics is increasing the demand of this market. The process of cognitive computing acquires data from the unstructured source by using machine learning algorithms. The demand for big data analytics has increased significantly and majority of the data received by companies is in the form of unstructured data including images, audio files, videos, texts, etc. This enable various organizations to adopt cognitive computing platform to organize the data and provide meaningful results.
Cloud-based applications are used in cognitive computing due to their different characteristics such as less consumption of memory, high flexibility, lesser cost, and increased flexibility. Various organizations of different sizes are focused on moving their critical business systems onto cloud based platforms. Thus, in turn the demand for a cognitive cloud platform is expected to increase the market and bring large number of cognitive computing applications. Therefore, growing cloud-based applications is expected to boost the market growth over the forecast period.
This report segments the global cognitive computing market on the basis of by deployment type, by end user, by application, by industry and region. On the basis of deployment type, the global cognitive computing market is segmented into on-premise and cloud software. On the basis of end user, global cognitive computing market is segmented into small scale enterprises, large scale enterprise and public sector. On the basis of application, global cognitive computing market is segmented into diagnostic APIs, robots, cyber security, farm mechanization, elearning, supply chain management, social media monitoring, self-driving cars, gaming, video ,it infrastructure management and others. On the basis of industry, global cognitive computing market is segmented into healthcare, BFSI, it & telecom, energy & utilities, agriculture, retail, aerospace & defense, government, transportation, media & entertainment, education and others (HR, marketing & PR, etc.). On the basis of region, global cognitive computing market is segmented into North America, Latin America, Europe, APAC, Middle East and Africa.
"*" marked represents similar segmentation in other categories in the respective section.