The article cited AMA's Global Natural Language Processing Market Study explored substantial growth with CAGR of 20.84%. According the report, The Evolution of Natural Language Understanding is one of the primary growth factors for the market. Increase in Smart Device Usage is also expected to contribute significantly to the Natural Language Processing market. Overall, Web Search applications of Natural Language Processing, and the growing awareness of them, is what makes this segment of the industry important to its overall growth. The presence of players such as IBM (United States), Microsoft (United States), Google (United States), Amazon Web Services, Inc. (United States), Facebook (United States), Apple (United States), 3M (United States), Intel Corporation (United States) and SAS Institute (United States) may see astonishing sales in this Market and certainly improve revenue growth.

The Deployment Mode, such as Cloud-Based, is boosting the Natural Language Processing market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The Industry Verticals, such as Banking, Financial Services and Insurance (BFSI), is boosting the Natural Language Processing market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The Component, such as Solutions {Software Tools, Platform}, is boosting the Natural Language Processing market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

AMA’s Analyst on the Global Natural Language Processing market identified that the demand is rising in many different parts of the world as "Adoption of Natural Language Processing-Based Applications to Improve Customer Service ". Furthermore, some recent industry insights like "On 16 May 2019, Punchh, the leader in digital marketing solutions for physical retailers, announced the launch of Punchh Deep Sentiment Analysis. The new product allows brands to extract valuable insights from customer reviews using Punchh’s natural language comprehension engine built with industry-leading deep learning and artificial intelligence. and On 14 Jan 2019, Ingenico Group, the global leader in seamless payment, launched its innovative payment-enabled chatbot, which uses natural language processing (NLP) from IBM Watson to create a smooth customer experience. Watson capabilities allow Ingenico’s chatbot to better understand users’ requests once they have been inputted, whatever they may be. It can better interpret nuances in language and phrasing, handling natural variations in the way individuals communicate." is constantly making the industry dynamic. One of the challenges that industry facing is "Concerns Related to Data Privacy and Unreliability of Natural Language Processing Algorithms"

The report provides an in-depth analysis and forecast about the industry covering the following key features:

• Detailed Overview of Natural Language Processing market will help deliver clients and businesses making strategies.
• Influencing factors that thriving demand and latest trend running in the market
• What is the market concentration? Is it fragmented or highly concentrated?
• What trends, challenges and barriers will impact the development and sizing of Natural Language Processing market
• SWOT Analysis of profiled players and Porter's five forces & PEST Analysis for deep insights.
• What growth momentum or downgrade market may carry during the forecast period?
• Which region may tap highest market share in coming era?
• What focused approach and constraints are holding the Natural Language Processing market tight?
• Which application/end-user category or Product Type [Rule-Based, Statistical and Hybrid] may seek incremental growth prospects?
• What would be the market share of key countries like Germany, USA, France, China etc.?

Market Size Estimation
In market engineering method, both top-down and bottom-up approaches have been used, along with various data triangulation process, to predict and validate the market size of the Natural Language Processing market and other related sub-markets covered in the study.

o Key & emerging players in the Natural Language Processing market have been observed through secondary research.
o The industry’s supply chain and overall market size, in terms of value, have been derived through primary and secondary research processes.
o All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation
The overall Natural Language Processing market size is calculated using market estimation process, the Natural Language Processing market was further split into various segments and sub-segments. To complete the overall market engineering and arriving at the exact statistics for all segments and sub-segments, the market breakdown and data triangulation procedures have been utilized, wherever applicable. The data have been triangulated by studying various influencing factors and trends identified from both demand and supply sides of various applications involved in the study. Along with this, the Global Natural Language Processing market size has been validated using both top-down and bottom-up approaches.