"We Envision Growth Strategies Most Suited
to Your Business"
The global natural language processing market size is estimated to display strong growth by reaching USD 161.81 billion by 2029. Fortune Business Insights™ in its report titled “Natural Language Processing (NLP) Market Size, Share & COVID-19 Impact Analysis, By Deployment (On-Premises, Cloud, and Hybrid), By Enterprise Size (Small & Medium-sized Enterprises and Large Enterprises), By Technology (Interactive Voice Response, Optical Character Recognition, Text Analytics, Speech Analytics, Classification and Categorization, Pattern and Image Recognition, and Others), By Industry Vertical (Healthcare, Retail, High Tech and Telecom, Banking, Financial Services, and Insurance, Automotive & Transportation, Advertising & Media, Manufacturing, and Others), and Regional Forecasts, 2022-2029” observes that the market size in 2021 stood at USD 20.80 billion and is expected to reach 26.42 billion in 2022. The market is expected to witness a strong CAGR of 18.1% during 2022-2029. The rising adoption of advanced AI-based platforms is projected to drive market growth. rising digitalization and adoption of advanced technologies to expand market development.
Machine Learning Model by Hewlett Packard Enterprise LP to Set Progress for Market Expansion
In April 2022, Hewlett Packard Enterprise LP launched their machine learning model that eliminates large-scale barriers for organizations. The model was made to develop the AI-based model that incorporates machine learning software platforms accurately and faster. This launch of new technology driven software platforms is expected to drive natural language processing market growth. The purpose of this new model and to have AI models that are accurate and fast.
Rising AI-based Software Adoption to Bolster Industry Growth
Natural language processing software is utilized to make sure that a robotic system functions as per the users’ instructions. Increasing adoption of AI-based software is expected to foster the market’s growth. Technological advancements in Artificial Intelligence (AI) may surge the demand for NLP tools. Further, major players focus on developing effective products that assist businesses in automating their business operations worldwide. For example, SecureKloud Technologies announced DataEdge, an AI-powered and cloud-powered data analytics platform that enabled organizations to make effective business decisions. These factors may drive the natural language processing market growth.
To get a detailed report summary and research scope of this market, click here:
Rising Reliance on Digital Tools Elevated Market’s Growth During the Pandemic
This industry was positively impacted during the COVID-19 pandemic due to rising reliance on digital tools. The sudden spike in COVID-19 infections provoked governments to impose stringent lockdown norms, thereby forcing manufacturers to adopt digital services. Moreover, the increasing adoption of electronics elevated NLP sales. Also, rapid digitalization in companies bolstered software adoption. These factors bolstered the market’s progress.
Major Players Deploy Acquisitions to Enhance their Market Reach
The prominent companies operating in the market deploy acquisitions to enhance their market reach. For example, SAP SE completed the acquisition of Askdata in July 2022. This acquisition was aimed at supporting AI-driven natural language searches and enabling businesses to undertake effective decisions. This strategy may allow the company to expand its market reach and enhance sales. Furthermore, major players deploy mergers, novel product launches, innovations, research and development, and industrial automation to enhance their market position.
Key Industry Development
List of Key Players Profiled in the Report
Further Report Findings
Table of Segmentation
ATTRIBUTE | DETAILS |
Study Period | 2018-2029 |
Base Year | 2021 |
Estimated Year | 2022 |
Forecast Period | 2022-2029 |
Historical Period | 2018-2020 |
Unit | Value (USD billion) |
Segmentation | By Deployment, Enterprise Size, Technology, Industry Vertical, and Region |
By Deployment |
|
By Enterprise Size |
|
By Technology |
|
By Industry Vertical |
|
By Region |
|