ZYFRA was awarded as an Entrepreneurial Company of the Year in the AI-based Solutions for Process Industries
Frost & Sullivan has awarded ZYFRA as the Entrepreneurial Company of the Year in the AI-based Machine Data Monitoring Solution for Process Industries.
Founded in 2017 and led by the reputed Finnish entrepreneur Pekka Viljakainen, ZYFRA has demonstrated passionate persistence in its efforts to enable customers in Europe to achieve their IIoT transformation goals in Industry 4.0 environments through its launch of cutting-edge IoT and IIoT solutions, such as MDCplus and AI-enabled Digital Advisor.
The company currently operates in Finland, China, Russia, Bulgaria, and India, and its platform connected over 7,000 CNC machines across the countries. By the end of 2018 more than 200 production facilities are equipped with its products. Zyfra has also announced its plans to enter markets of Indonesia, Mongolia, South Africa, Vietnam and Chile as early as 2019-2021. ZYFRA has reached $30 mln revenue in first year, facilitating industrial manufacturers in-house and abroad with AI and IoT based solutions as well as autonomous vehicles.
Recent Index by TNW (The Next Web) ranked Finn-co ZYFRA Oy 11-th among the TOP-50 2018s world aquisition deals in IoT. The 10th position took Google with its aquisition of Lytro, the Dutch camera maker. ZYFRA announced it started its acquisition of VIST Group, one of the industrial leaders in development and implementation of information technologies for digital mining earlier in autumn this year . The M&A deal accounts for $30mln. Through acquisition (the one will be finished by 2020) of these assets the company is planning to occupy a significant share of global market and to compete with Caterpillar, Komatsu and other majors in certain aspects.
"Our view is that theres a tremendous opportunity for disruption in Industrial IoT and applied AI space, although it is still a nascent market to a larger extent - said Ilkka Saarinen, Director of Nordic markets development at ZYFRA Group. If you look at Gartner latest Magic Quadrant for IIoT platforms, you can quickly arrive at the conclusion that the market still lacks a clear leader, which leaves the doors wide open for the up and coming challengers like ourselves"
The goal of smart factories of the future is to unify the IIoT platforms to collaborate multiple hardware and software systems and eliminate defect rates. While hesitancy remains on the part of process industries to embrace the value proposition of analytics, vendors of data monitoring and analytics solutions are equally hesitant due to not fully understanding the software services business model. Services have not been particularly attractive in a business sense and are typically an add-on to a product sale. However, the impact of this challenge is expected to decline over the next five years as companies increase their investments into data monitoring and analytics solutions and understand more about the software-as-a-service (SaaS) subscription model. In this evolving landscape, vendors able to offer a solution that effectively records the data and uses advanced machine learning technology to analyze the real-time performance of industrial assets, predict failures, improve asset lifespan, reduce maintenance costs, and increase production output will find themselves best positioned to stay competitive in the dynamic European market.
"Smart manufacturing (the term refers to IoT and AI) is projected to grow noticeably in the 3 to 5 years. Recent surveys showed 92% of senior manufacturing executives believe that "Smart Factory" digital technologies such as artificial intelligence will allow them to improve their degrees of productivity and empower their staff to work more intelligently. Some even account for smart manufacturing market volume to increase to over $320 billion by 2020," said Igor Bogachev, ZYFRA Group CEO.
Evolutionary development of industry from mechanization to industrialization, and then from automation to Industry 4.0 is characterized by the massive use of various sensors for the collection and exchange of information integrated with intelligent systems.
The Industrial Internet of Things (IIoT) is a computer network consisting of elements of industrial equipment, scientific tools, equipped with technologies of interaction with each other and the external environment. The goal of the Internet of Things is to change the technological and business processes in such a way as to increase their efficiency and significantly reduce the need for human participation in making routine decisions related to the management of objects in such networks. In a general sense, IIoT can be equated to fully automate digital production.
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