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Tom Fernandez-Buckley (Senior) Data Scientist - Natural Language Processing (m/w) - MÜNCHEN
Nur für XING Mitglieder sichtbar Global Quantum Cryptography Market Forecast to 2024
Quantum cryptography is a new method for secret communications that provides the assurance of security of digital data. Quantum cryptography is primarily based on the usage of individual particles/waves of light (photon) and their essential quantum properties for the development of an unbreakable cryptosystem, primarily because it is impossible to measure the quantum state of any system without disturbing that system. It is hypothetically possible that other particles could be used, but photons offer all the necessary qualities needed, the their behavior is comparatively understandable, and they are the information carriers in optical fiber cables, the most promising medium for very high-bandwidth communications.
Quantum computing majorly focuses on the growing computer technology that is built on the platform of quantum theory which provides the description about the nature and behavior of energy and matter at quantum level. The fame of quantum mechanics in cryptography is growing because they are being used extensively in the encryption of information. Quantum cryptography allows the transmission of the most critical data at the most secured level, which in turn, propels the growth of the quantum computing market. Quantum computing has got a huge array of applications.
Market Analysis: According to Infoholic Research, the Global Quantum cryptography Market is expected to reach $1.53 billion by 2023, growing at a CAGR of around 26.13% during the forecast period. The market is experiencing growth due to the increase in the data security and privacy concerns. In addition, with the growth in the adoption of cloud storage and computing technologies is driving the market forward. However, low customer awareness about quantum cryptography is hindering the market growth. The rising demands for security solutions across different verticals is expected to create lucrative opportunities for the market.
Market Segmentation Analysis: The report provides a wide-ranging evaluation of the market. It provides in-depth qualitative insights, historical data, and supportable projections and assumptions about the market size. The projections featured in the report have been derived using proven research methodologies and assumptions based on the vendor’s portfolio, blogs, whitepapers, and vendor presentations. Thus, the research report serves every side of the market and is segmented based on regional markets, type, applications, and end-users.
Countries and Vertical Analysis: The report contains an in-depth analysis of the vendor profiles, which include financial health, business units, key business priorities, SWOT, strategy, and views; and competitive landscape. The prominent vendors covered in the report include ID Quantique, MagiQ Technologies, Nucrypt, Infineon Technologies, Qutools, QuintenssenceLabs, Crypta Labs, PQ Solutions, and Qubitekk and others. The vendors have been identified based on the portfolio, geographical presence, marketing & distribution channels, revenue generation, and significant investments in R&D.
Competitive Analysis: The report covers and analyzes the global intelligent apps market. Various strategies, such as joint ventures, partnerships, collaborations, and contracts, have been considered. In addition, as customers are in search of better solutions, there is expected to be a rising number of strategic partnerships for better product development. There is likely to be an increase in the number of mergers, acquisitions, and strategic partnerships during the forecast period.
Companies such as Nucrypt, Crypta Labs, Qutools, and Magiq Technologies are the key players in the global Quantum Cryptography market. Nucrypt has developed technologies for emerging applications in metrology and communication. The company has also produced and manufactured electronic and optical pulses. In addition, Crypta Labs deals in application security for devices. The company deals in Quantum Random Number Generator products and solutions and Internet of Things (IoT). The major sectors the company is looking at are transport, military and medical.
The report includes the complete insight of the industry and aims to provide an opportunity for the emerging and established players to understand the market trends, current scenario, initiatives taken by the government, and the latest technologies related to the market. In addition, it helps the venture capitalists in understanding the companies better and to take informed decisions.
Regional Analysis: The Americas held the largest chunk of market share in 2017 and is expected to dominate the quantum cryptography market during the forecast period. The region has always been a hub for high investments in research and development (R&D) activities, thus contributing to the development of new technologies. The growing concerns for the security of IT infrastructure and complex data in America have directed the enterprises in this region to adopt quantum cryptography and reliable authentication solutions.
Benefits: The report provides an in-depth analysis of the global intelligent apps market aiming to reduce the time to market the products and services, reduce operational cost, improve accuracy, and operational performance. With the help of quantum cryptography, various organizations can secure their crucial information, and increase productivity and efficiency. In addition, the solutions are proven to be reliable and to improve scalability. The report discusses the types, applications, and regions related to this market. Further, the report provides details about the major challenges impacting the market growth.
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Market Overview:
In the present digitized world, 80% of the data generated is unstructured. Organizations are using natural language processing technology to unravel the meaning of such data to leverage business strategies and opportunities. A myriad of unstructured data is available online in the form of audio content, visual content and social footprints. Data has now become an asset for organizations. We have arrived into an era of automation of tedious cognitive tasks in businesses. Human beings fundamentally think, communicate and understand in an unstructured manner. Majority of the workflow in business and personal domain are either entirely controlled by humans or involves a human layer that converts the real-world inputs to computer inputs. NLP is gradually becoming ubiquitous in business enterprises and it has a wide array of functions ranging from chatbots and digital assistants such as Google Home, Siri and Alexa to compliance monitoring functions, business intelligence and analytics. Queries, email communication, videos, social media, support requests, customer reviews and so on are sources of useful insights that can be used to generate significant business value.
Natural language processing (NLP), also known as computational linguistics is an amalgamation of artificial intelligence, machine learning and linguistics. NLP is one of the most leveraged technologies in artificial intelligence and the growth of the technology is being propelled by the growth of related technologies such as deep learning and cognitive computing. NLP combines artificial intelligence, computer science and computational linguistics to help machines in reading texts by simulating the human ability of understanding languages. The technology offers competitive advantage to businesses in legal, media and digital ad services. Automotive, healthcare, education and the retail sectors are extensively investing in the technology, as NLP is continuously evolving and is capable of interpreting and adapting to a wide variety of human languages. Sentiment analysis is largely used in web and social media monitoring as it gives businesses access to the opinions of end-users about the organization and its services. Useful insights about customer preferences and attitudes can be obtained from the emoticons in social media. The use cases for natural language processing is diverse, covering customer service, autonomous vehicles, healthcare, banking, financial services and insurance (BFSI), manufacturing, retail and consumer goods, media and entertainment, research, education,high tech and electronics.
Technological mainstays namely Google, IBM, Microsoft and others are making significant investment in the field of natural language processing. NLP and text analytics have a major role to play in social media sentiment analysis, business intelligence, data governance, cognitive computing and business intelligence. Text analytics is a subset of NLP and is one amongst the two analytics options that NLP offers, alongside speech analytics. NLP helps in establishing relationships in documents, carrying out search, understanding the demarcations of sentences and phrases and determining names and places through semantic technologies. In the context of text analytics, NLP helps in identifying aspects of regulatory compliance, categorization, sentiment analysis and text clustering. NLP solutions are either statistics based, rule based or a hybrid.
Market Analysis
According to Infoholic Research, the Global Natural Language Processing market is expected to grow at a CAGR of 18.78% during the forecast period 2017–2023. The market is driven by factors such as the availability of a high volume of unstructured data, enhanced utility of smart devices, increased use of NLP in call centers, increased demand for better customer experience and expansive application areas. The future potential of the market is promising owing to opportunities such as developments in big data technologies, democratization of data, smart search and the emergence of human-like virtual assistants. The market growth is curbed by restraining factors such as difficulties in bridging gaps between humans and machines, training of researchers and loss of context and meaning.
Segmentation by Offerings
The market has been segmented and analyzed by the following offerings: Software, Hardware and Services.
Segmentation by Technologies:
The market has been segmented and analyzed by the following technologies: Pattern and Image Recognition, Interactive Voice Response (IVR), Optical Character Recognition (OCR), Text Analytics, Speech Analytics, Classification and Categorization, Auto Coding, Professional Services and Support and Maintenance Services.
Segmentation by Regions:
The market has been segmented and analyzed by the following regions: North America, EMEA, APAC and Latin America.
Segmentation by Verticals:
The market has been segmented and analyzed by the following verticals: Healthcare and Lifesciences, Retail and Consumer Goods, High Tech and Electronics, Media and Entertainment, BFSI, Manufacturing, and Research and Education.
The study covers and analyses the “Global Natural Language Processing Market”. Bringing out the complete key insights of the industry, the report aims to provide an opportunity for players to understand the latest trends, current market scenario, government initiatives, and technologies relevant to the market. In addition, it helps the venture capitalists in understanding the companies better and take informed decisions.
1. The report covers drivers, restraints, and opportunities (DRO) affecting the market growth during the forecast period (2017–2023).
2. It also contains an analysis of vendor profiles, which include financial health, business units, key business priorities, SWOT, strategies, and views.
3. The report covers competitive landscape, which includes M&A, joint ventures and collaborations, and competitor comparison analysis.
4. In the vendor profile section, for the companies that are privately held, financial information and revenue of segments will be limited.


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Über die Gruppe "Natural language processing"

  • Gegründet: 11.03.2011
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