Natural Language Processing: Enterprise Applications for Natural Language Technologies (Processing, Understanding, Generation) Software and Systems: Market Analysis and Forecasts

NEW YORK, Aug. 21, 2017 /PRNewswire/ --

Natural language processing (NLP) is a technology spawned from the need for machines to understand and communicate with humans in human language, not formal computer languages. The concept behind NLP is simple: if and when machines can understand and communicate with humans in natural (human) language, it democratizes data science, enabling humans to access, analyze, and leverage data more intelligently and become more efficient as they offload redundant, data-heavy tasks to machines. NLP is most commonly understood as a user interface (UI) technology, enabling two-way communications with computers via speech or text.


Read the full report: http://www.reportlinker.com/p05069690/Natural-Language-Processing-Enterprise-Applications-for-Natural-Language-Technologies-Processing-Understanding-Generation-Software-and-Systems-Market-Analysis-and-Forecasts.html



However, NLP is also a critical technology for extracting insights and analysis from a vast amount of previously unindexed and unstructured data; mining video and audio files, emails, scanned documents, and more. NLP adoption is accelerating, but not because of the creation of new NLP algorithms, as the data science in that regard is mature. NLP adoption has accelerated over the past 2 to 3 years because of scalable, affordable computational power, the increasing digitization of all data, and the melding of NLP with machine learning (ML) and deep learning (DL).

The best bet NLP use cases, which are emerging, have some common characteristics:
- They seek operational or production efficiencies. They seek to automate redundant, data-heavy tasks or jobs to allow humans to focus on human-suited tasks.
- They seek insight. The analysis of data from previously untapped sources to gain competitive advantages, become more attuned to customers, audiences, and stakeholders, or to build predictive, prescriptive plans.

This Tractica report examines 42 NLP use cases, identifying those applications best suited for commercial use. In addition, the report details the market trends and technology issues surrounding natural language processing and presents 10-year forecasts for NLP hardware, software, and services during the period from 2016 through 2025. The report also includes detailed profiles of 35 key industry players. Market forecasts, segmented by world region, include projections of software, hardware, and services revenue across multiple industry sectors.

Key Market Forecasts
- Natural Language Processing Software Revenue by Region, World Markets: 2016-2025
- Natural Language Processing Total Revenue by Segment, World Markets: 2016-2025
- Natural Language Processing Hardware Revenue by Region, World Markets: 2016-2025
- Natural Language Processing Services Revenue by Region, World Markets: 2016-2025
- Natural Language Processing Total Software, Service, and Hardware Revenue by Region, World Markets: 2016-2025
- Natural Language Processing Software Revenue by Industry, World Markets: 2016-2025
- Natural Language Processing Software Revenue by Use Case, World Markets: 2016-2025

Use Cases
- Advertising
- Business Services
- Consumer
- Education
- Finance
- Government
- Healthcare
- Information Technology
- Investment
- Legal
- Manufacturing
- Media & Entertainment
- Oil, Gas & Mining
- Retail

Geographies
- North America
- Europe
- Asia Pacific
- Latin America
Read the full report: http://www.reportlinker.com/p05069690/Natural-Language-Processing-Enterprise-Applications-for-Natural-Language-Technologies-Processing-Understanding-Generation-Software-and-Systems-Market-Analysis-and-Forecasts.html

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