Feb 28, 2017
Factors such as growing investments and the increasing use of drones in commercial and military applications are expected to drive the growth of the market in near future.
Feb 14, 2017
The scope of this report covers the industrial cooking fire protection systems market for the food manufacturing sector on the basis of product, service, and geographical region.
Feb 13, 2017
The market is expected to witness significant growth in the coming years owing to stringent environmental regulations across world to reduce the environmental pollution from spills.
Feb 02, 2017
Major drivers of the market include growing size of dairy farms, increasing focus of major companies on technological advancements along with new product launches, and substantial cost savings associated with livestock monitoring management.
Feb 01, 2017
Some key factors driving this market are continuous modification of industrial codes, regulations, and safety standards for industrial fire brigades and growing awareness of the industrial fire brigade to prevent damages caused by fire.
Jan 23, 2017
The major drivers for the precision farming market include the adoption of new technologies to increase farm efficiency and reduce production cost, increasing global demand for food owing to increasing population
Dec 19, 2016
Reduction in operational costs and negligible upfront investments by MaaS end users, rising demand from MaaS from hospitals, universities, and remote regions, and high investments by governments in microgrid infrastructure
Dec 15, 2016
The market is expected to witness significant growth in the coming years, owing to increasingly stringent environmental noise regulations across the regions as the noise has harmful impact on human health.
Dec 13, 2016
Major growth drivers of the market are centralized security control throughout the enterprise, dynamic provisioning of networking resources, reduced operational cost, easy Quality of Service (QoS) implementation, and unified cloud resources.
Dec 12, 2016
The research and development activities for the development of better processing hardware for deep learning, growing adoption of cloud-based technology, and the growing usage of the deep learning technology