Natural Language Understanding (NLU) Market Size, Share, Growth, and Industry Analysis, By Type (Machine Translation, Voice-First Technologies, Chatbots, Conversational Search), By Application (Manufacturing, Healthcare and Other), Regional Insights, and Forecast To 2031

Updated On: 22 April 2024

Natural Language Understanding (NLU) Market Report Overview

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The global natural language understanding (NLU) market size is expanded rapidly in 2022 and market is expected to generate substantial revenue by 2031, exhibiting a high compound annual growth rate (CAGR) from 2022 to 2031.

Natural language understanding (NLU) technologies are being used more often in a variety of applications, including chatbots, virtual assistants, voice-activated devices, and customer service. Additionally, the market is being driven by the escalating need for tailored customer experiences, the development of conversational AI, and the rising popularity of voice-activated technology.

While the pandemic has posed difficulties for companies across many sectors, it has also sped up the use of NLU technology in a number of applications.

COVID-19 Impact: Pandemic Increased the Market Demand due to the Adoption Of Remote Work In Various Firms

Solutions that can assist organizations in managing client contacts in a remote and contactless environment are in more demand in the NLU market. Businesses had to figure out how to maintain consumer engagement and happiness while restricting in-person interactions as social distancing policies were imposed globally. Virtual assistants, chatbots, and other NLU systems that can handle customer enquiries and support remotely are becoming more in demand as a result of this.

A rise in the usage of voice assistants for home automation, entertainment, and personal support has also been attributed to the epidemic. The adoption of smart speakers and other voice-activated gadgets increased as consumers spent more time at home. The demand for NLU technology that can correctly comprehend natural language command has increased as a result of this development.

Latest Trends

"Steady Adoption of NLU Technology in Various Streams to Augment Market Growth"

Recent trends in the natural language understanding (NLU) market include the democratization of NLU technology through low-code and no-code solutions, the rising use of NLU in healthcare, and the integration of NLU technology with AI, machine learning, and cognitive computing. The natural language understanding (NLU) market on a global scale is developing quickly, and various new trends are appearing. Integration of NLU technology with other cutting-edge technologies like artificial intelligence (AI), machine learning (ML), and cognitive computing is one notable development. The development of increasingly sophisticated NLU solutions that can interpret and analyze natural language data more accurately and effectively is being facilitated by this combination.

Natural Language Understanding (NLU) Market Segmentation

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• By Type Analysis

According to type, the market can be segmented into machine translation, voice-first technologies, chatbots, conversational search. 

• By Application Analysis

Based on application, the market can be divided into manufacturing, healthcare and other. 

Driving Factors

"Rising Demand for Automated Customer Service to Boost the Service Demand"

The demand for intelligent chatbots and virtual assistants, the growing demand for automated customer service, and the expanding use of NLU technology in e-commerce and healthcare are some of the reasons driving the global natural language understanding (NLU) market. The development of multilingual NLU solutions, the democratization of NLU technology through low-code and no-code solutions, and the integration of NLU technology with AI and machine learning are some other driving forces.

"Various Businesses Adopting Advanced Services to Drive Growth in the Market"

To cut down on the time needed for data gathering and processing, businesses are implementing cloud-based NLP systems. Data is collected via a variety of AI-powered and cloud-based methods, including interactive speech recognition systems, by chatbots and voice search natural language processing technology. This information aids in the processing of numerous predictive and market evaluations for a certain product. By automating laborious data gathering processes, technological innovation in AI has, on the other hand, fundamentally changed Big Data analytics and driven efficient services. To automate enterprises all around the world, a number of top players are releasing AI-based software applications.

Restraining Factors

"High Cost of the Service to Impede Market Growth"

The global market for natural language understanding (NLU) is also constrained by a number of problems, including the high cost of NLU technology and a shortage of experts in the field. Growth of the market may be hampered by NLU solutions' poor accuracy, particularly for complicated languages and dialects. Additional difficulties include the possibility for bias in NLU models, which can produce unreliable and unjust outcomes, as well as privacy and security issues around the usage of NLU technology. These restraints may have an immediate effect on the acceptance and expansion of the NLU market.

Natural Language Understanding (NLU) Market Regional Insights

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"Growing Demand in North America and Europe Anticipated to Boost Market Expansion"

The growing need for NLU solutions in healthcare, e-commerce, and customer service is propelling the growth of the global natural language understanding (NLU) market in North America and Europe. A market for NLU technology is also expanding quickly in Asia Pacific, thanks to the spread of smart gadgets and e-commerce. Due to rising investments in AI and machine learning, the NLU market is anticipated to expand throughout the Middle East and Africa. However, due to low levels of acceptance and limited knowledge of NLU technology in the region, market growth in Latin America is anticipated to be sluggish.

Key Industry Players

"Adoption Innovative Strategies by Key Players Influencing Market Development"

Prominent market players are making collaborative efforts by partnering with other companies to stay ahead of the competition. Many companies are also investing in new product launches to expand their product portfolio. The top key players in the market are IBM Watson, Nuance Communications, Amazon AWS, Microsoft, SAS, Idiap and The Aspect NLU Lab. Mergers and acquisitions are also among the key strategies used by players to expand their product portfolios. In addition, the strategies to develop new technologies, capital investment in R&D, improve product quality, acquisitions, mergers, and compete for the market competition help them to perpetuate their position and value in the market. Besides, collaboration with other companies & extensive possession over market shares by the key players stimulates the market growth.

List of Market Players Profiled

• IBM Watson
• Nuance Communications
• Amazon AWS
• Microsoft
• SAS
• Idiap
• The Aspect NLU Lab

Report Coverage

This report examines an understanding of the global natural language understanding (NLU) market’s size, share, growth rate, segmentation by type, application, key players, and previous and current market scenarios. The report also collects the market’s precise data and forecasts by market experts. Also, it describes the study of this industry’s financial performance, investments, growth, innovation marks, and new product launches by the top companies and offers deep insights into the current market structure, competitive analysis based on key players, key driving forces, and restraints that affect the demand for growth, opportunities, and risks.

Furthermore, the post-COVID-19 pandemic’s effects on international market restrictions and a deep understanding of how the industry will recover, and strategies are also stated in the report. The competitive landscape has also been examined in detail to provide clarification of the competitive landscape.

This report also discloses the research based on methodologies that define price trend analysis of target companies, collection of data, statistics, target competitors, import-export, information, and previous years’ records based on market sales. Moreover, all the significant factors which influence the market such as small or medium business industry, macroeconomic indicators, value chain analysis, and demand-side dynamics, with all the major business players have been explained in detail. This analysis is subject to modification if the key players and feasible analysis of market dynamics change.