Global Language Processing Market Research Report 2017 to 2021 provides a unique tool for evaluating the market, highlighting opportunities, and supporting strategic and tactical decision-making. This report recognizes that in this rapidly-evolving and competitive environment, up-to-date marketing information is essential to monitor performance and make critical decisions for growth and profitability. It provides information on trends and developments, and focuses on markets and materials, capacities and technologies, and on the changing structure of the Language Processing Market.
Companies Mentioned are Hewlett Packard Enterprise (HPE), IBM, Microsoft, SAS Institute, Verint Systems, 3M, Apple, AYLIEN, Basis Technology, Cerner Systems, Dolbey Systems, Envion Software, Google, Intel, Linguamatics, MModal IP, NetBase Solutions, Nuance Communication, Oracle, and Sensory.
The global Language Processing market consists of different international, regional, and local vendors. The market competition is foreseen to grow higher with the rise in technological innovation and M&A activities in the future. Moreover, many local and regional vendors are offering specific application products for varied end-users. The new vendor entrants in the market are finding it hard to compete with the international vendors based on quality, reliability, and innovations in technology.
This independent 82 page report guarantees you will remain better informed than your competition. With over 150 tables and figures examining the Language Processing market, the report gives you a visual, one-stop breakdown of the leading products, submarkets and market leader’s market revenue forecasts as well as analysis to 2021.
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Geographically, this report is segmented into several key Regions, with production, consumption, revenue (million USD), and market share and growth rate of Language Processing in these regions, from 2012 to 2021 (forecast), covering Americas, APAC and EMEA.
The report provides a basic overview of the Language Processing industry including definitions, classifications, applications and industry chain structure. And development policies and plans are discussed as well as manufacturing processes and cost structures.
Then, the report focuses on global major leading industry players with information such as company profiles, product picture and specifications, sales, market share and contact information. What’s more, the Language Processing industry development trends and marketing channels are analyzed.
The research includes historic data from 2012 to 2016 and forecasts until 2021 which makes the reports an invaluable resource for industry executives, marketing, sales and product managers, consultants, analysts, and other people looking for key industry data in readily accessible documents with clearly presented tables and graphs. The report will make detailed analysis mainly on above questions and in-depth research on the development environment, market size, development trend, operation situation and future development trend of Language Processing on the basis of stating current situation of the industry in 2017 so as to make comprehensive organization and judgment on the competition situation and development trend of Language Processing Market and assist manufacturers and investment organization to better grasp the development course of Language Processing Market.
According to the report, one driver in the market is increased investments in speech solutions. There is increased investment in speech solutions because of the cost factor. Speech solutions help businesses to reduce operating costs and enable organizations to expand services without additional overhead costs. This is seen as an advantage in terms of cost factor. Speech solutions identify words spoken by an individual, convert them into a machine-readable format, and respond automatically.
Further, the report states that one challenge in the market is high investment for developing and implementing the software. One of the challenges that is inhibiting the growth of the technology is the high investment associated with its development and implementation. Large-scale deployment of language processing in an enterprise is a time-consuming and expensive process, leading to failure in successful implementation and huge loss for the organization.