The Natural Language Processing (NLP) market has emerged as a transformative force in the realm of artificial intelligence, revolutionizing how machines understand and interact with human language. With the accelerating digitization of businesses and the growing volume of unstructured data, the NLP market, which is

In the Natural Language Process (NLP) development sector there were ***** companies that had accumulated funding of over *** million U.S. dollars in 2022. Of all companies, Verbit was a step ahead of all of its competitors, exceeding *** million U.S. dollars in funding. At the same time, both Grammarly and Unisound have accumulated substantially more funding than the rest of the companies on the list.

The natural language processing market size is projected to grow from USD 25.98 billion in 2024 to USD 302.4 billion by 2035, representing a CAGR of 25%, during the forecast period till 2035.

Natural Language Processing (NLP) for business is a rapidly evolving field that leverages artificial intelligence and machine learning to enable machines to understand, interpret, and respond to human language in a valuable way. This technology has become indispensable across various industries, providing solutions

Global Natural Language Processing (NLP) Market size was valued at USD 15.51 billion in 2021 and is poised to grow from USD 19.68 billion in 2022 to reach USD 112.28 Billion by 2030, at a CAGR of 24.6% during the forecast period 2023-2030.

During a 2022 survey conducted in the United States, it was found that 18 percent of respondents thought that artificial intelligence will lead to there being many fewer jobs. By contrast, 25 percent of respondents aged between 30 and 44 years stated that AI will create many more jobs.

Artificial intelligence

Artificial intelligence (AI) is the ability of a computer or machine to mimic the competencies of the human mind, learning from previous experiences to understand and respond to language, decisions, and problems. Particularly, a large amount of data is often used to train AI into developing algorithms and skills. The AI ecosystem consists of machine learning (ML), robotics, artificial neural networks, and natural language processing (NLP). Nowadays, tech and telecom, financial services, healthcare, and pharmaceutical industries are prominent for AI adoption in companies.

AI companies and startups

More and more companies and startups are engaging in the artificial intelligence market, which is forecast to grow rapidly in the coming years. Examples of big tech firms are IBM, Microsoft, Baidu, and Tencent, with the last owning the highest number of AI and ML patent families, amounting to over nine thousand. Moreover, driven by the excitement for this new technology and by the large investments in it, the number of startups involved in the industry around the world has grown in recent years. For instance, in the United States, the New York company UiPath was the top-funded AI startup.

The Natural Language Processing (NLP) market is experiencing transformative growth, driven by the increasing demand for artificial intelligence (AI) and machine learning (ML) technologies across various industries. As organizations strive to enhance customer interactions and automate tasks, NLP plays a pivotal role

The Natural Language Processing (NLP) in Finance market is rapidly evolving, leveraging advanced linguistic algorithms to transform how the financial industry analyzes data and interacts with clients. By enabling machines to understand, interpret, and generate human language, NLP is revolutionizing various aspects o

The Cognitive Computing and Natural Language Processing (NLP) market is at the forefront of technological innovation, revolutionizing how machines understand and interact with human language. With the ability to analyze, interpret, and respond to complex data through advanced algorithms and machine learning, cogniti

The Natural Language Processing (NLP) software market has emerged as a pivotal sector within the technology landscape, driven by the increasing demand for automated communication and data analysis in various industries. With a market size that has seen significant growth over the past few years-valued at approximate

The Natural Language Processing (NLP) in Life Sciences Services market has emerged as a revolutionary tool, transforming the way healthcare professionals, researchers, and pharmaceutical companies approach data analysis, patient interaction, and clinical decision-making. NLP, a subfield of artificial intelligence, e

Introduction

Artificial Intelligence Statistics: Artificial intelligence (AI) has rapidly become a disruptive force, revolutionizing industries and transforming the way businesses operate and interact with their customers. By analyzing massive amounts of data and performing tasks typically managed by humans, AI is driving advancements in sectors like healthcare, finance, automotive, and retail.

Key technologies, including machine learning, natural language processing, and robotics, are driving this evolution, leading to more streamlined operations, improved decision-making, and enhanced personalisation.

As AI continues to advance, its capacity to address complex global issues, streamline processes, and open new business opportunities is becoming increasingly apparent, solidifying its role as a cornerstone of future technological development.

As of 2020, the overall size of natural language processing (NLP) market in China reached roughly ** billion yuan and was projected to grow at an average compound annual rate of ** percent over the observed period, amounting to over *** billion yuan in 2026. Natural language processing belongs to the artificial intelligence industry and describes the analysis and synthesis of human speech.

As of 2019, the overall scale of the knowledge graph and natural language processing (NLP) market in China reached roughly ** billion yuan and was projected to grow at an average compound annual rate of **** percent over the observed period, amounting to over *** billion yuan in 2025. In 2020, knowledge graph and NPL core products and services would form a market of nearly **** billion yuan in size and, in the meantime, increase the peripheral industry's value to around **** billion yuan.

The Natural Language Processing (NLP) solution market has emerged as a pivotal segment in the tech industry, transforming the way businesses interact with data and customers. With the advent of artificial intelligence, NLP harnesses complex algorithms to enable machines to understand, interpret, and generate human l

.xlsx file for the replication of the Paper The Complex Crises Database: 70 years of Macroeconomic Crises. It contains the term frequencies of 20 crises sentiment indexes computed from the IMF country report for the period 1956-2016 for 181 countries. (2021-07-02)

The Ai Drug Discovery market is projected to be valued at $XX billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of YY%, reaching approximately $ZZ billion by 2034.

Business Analytics Market was valued at USD 84.42 Billion in 2024 and is projected to reach USD 176.14 Billion by 2031, growing at a CAGR of 9.63% from 2024 to 2031.

Global Business Analytics Market Drivers

The market drivers for the Business Analytics Market can be influenced by various factors. These may include:

Growing Adoption of Big Data Analytics: In order to extract meaningful insights from their data, organizations are progressively using big data analytics in response to the exponential expansion of data. Making educated decisions through data analysis is facilitated by business analytics. Growing Need for Data-driven Decision Making: In order to obtain a competitive edge, businesses are realizing the significance of data-driven decision making. The methods and instruments for data analysis and significant insights extraction for improved decision-making are offered by business analytics. Growing Need for Predictive and Prescriptive Analytics: Predictive and prescriptive analytics are becoming more and more in demand as a means of projecting future trends and results. Businesses can use business analytics to prescribe activities to achieve desired outcomes and forecast future outcomes based on previous data. Growing Emphasis on Customer Analytics: As e-commerce and digital marketing gain traction, companies are putting more of an emphasis on comprehending the behavior and preferences of their customers. In order to increase consumer engagement and personalize marketing efforts, business analytics is used to analyze customer data. Emergence of Advanced Technologies: The use of advanced analytics solutions is being propelled by developments in fields like artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). Businesses may now analyze data more effectively and gain deeper insights thanks to these technologies. Operational Efficiency and Cost Optimization Are Necessary: Companies are always under pressure to increase operational efficiency and reduce costs. Business analytics promotes market expansion by assisting in the identification of opportunities for process and cost-cutting enhancements. Compliance and Regulatory Requirements: The use of business analytics solutions for risk management and compliance reporting is being fueled by the growing regulatory requirements in a number of industries, including healthcare, banking, and retail.

The AI chip market is projected to be valued at $50 billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 8.5%, reaching approximately $120 billion by 2034.

The Natural Language Processing (NLP) market for Healthcare and Life Sciences is experiencing remarkable growth, driven by the increasing demand for advanced analytics and improved patient care. NLP, a branch of artificial intelligence, allows healthcare providers to extract meaningful insights from vast amounts of