市場調查報告書
商品編碼
1556006
全球自然語言理解市場評估:依組成部分、類型、應用、產業、地區、機會、預測,2017-2031年Natural Language Understanding Market Assessment, By Component, By Type, By Application, By Industry, By Region, Opportunities and Forecast, 2017-2031F |
2024-2031年預測期間,全球自然語言理解市場規模將以24.11%的年複合成長率擴大,從2023年的279.9億美元成長到2031年的1575.4億美元。由於人工智慧的進步,自然語言理解(NLU)市場不斷成長。 AI產業的公司和組織產生了51個機器學習模型,學術機構貢獻了15個模型。人工智慧產業與學術機構之間的合作創下歷史新高,排名第21 位,兩者合作產生了引人注目的模型。根據Artificial Intelligence Index Report 2023,2023年發布了149個基礎模型,是2022年發布數量的兩倍多,顯示這一速度加快。此外,其中 65.7%的模型是開源的,這表明了向可存取性和協作的轉變。
美國公佈了2023年61個頂級人工智慧模型,鞏固了其在人工智慧領域的全球領先地位。與OpenAI Generative Pre-Trained Transformer 4(GPT-4)等尖端AI 模型相關的培訓成本不斷上升,推動自然語言理解市場的發展,因為行業進入者會激勵其他潛在方法,預計將有助於顯著擴展。
提高客戶參與度是自然語言理解(NLU)市場的關鍵驅動力。人工智慧的使用在銀行業客戶服務趨勢方面取得了顯著成果,例如透過聊天機器人更快、更準確地處理客戶查詢的能力。這些聊天機器人代表了目的是減少人際互動並提高效率、滿意度和可靠性的技術創新。預計到2030年,人工智慧在銀行業的應用價值將達到 640.3億美元。僅聊天機器人一項預計即可節省約 73億美元。即時、高品質回應的轉變反映了消費者需求的變化,並凸顯了自然語言理解解決方案對於更好的客戶體驗日益重要,進一步推動市場成長。
本報告研究了全球自然語言理解市場,並提供了市場概述,包括依組件、類型、應用、行業、地區和參與該市場的公司概況。
Global natural language understanding market is projected to witness a CAGR of 24.11% during the forecast period 2024-2031, growing from USD 27.99 billion in 2023 to USD 157.54 billion in 2031. The natural language understanding (NLU) market is on the rise owing to advancements in artificial intelligence. The companies and organizations in the AI industry produced 51 machine learning models, while academic institutions contributed 15 models. The partnership between the AI industry and academic institutions reached an all-time high at number 21 on notable models resulting from their collaboration. As per the Artificial Intelligence Index Report 2023, the release of 149 foundation models in 2023, which was more than double the number released in 2022, demonstrates this accelerating pace. In addition, 65.7% of those models were open source, indicating a shift towards accessibility and collaboration.
The United States solidified its position as a global leader in artificial intelligence with 61 of the top AI models in 2023, twice as many as those from both the European Union and China combined. Rising training costs associated with state-of-the-art AI models such as OpenAI Generative Pre-Trained Transformer 4 (GPT-4) will contribute to significant natural language understanding market expansion as the industry players are incentivized towards other potential approaches.
For instance, in March 2023, Nuance Communications, Inc., and Microsoft Corporation launched Dragon Ambient eXperience (DAX) Express, the first fully AI-automated clinical documentation application utilizing GPT-4, designed to reduce clinician paperwork and improve patient care.
Enhanced Customer Experience Drives the Natural Language Understanding Market
Enhanced customer engagement is a major growth driver in the natural language understanding (NLU) market. By using AI, remarkable results are witnessed in the trends of customer services in banking, such as AI being used to process customer inquiries faster and more accurately via chatbots. These chatbots represent technological innovations designed to reduce human interactions and increase efficiency, satisfaction, and reliability. AI in banking is projected to reach USD 64.03 billion by 2030. Chatbots alone are expected to save around USD 7.3 billion in business. The transition to instant, high-quality responses reflect the transforming consumer needs and underscores the rising significance of natural language understanding solutions for better customer experiences, further driving the market growth.
For example, in June 2024, IBM Corp. announced the general availability of its new watsonx Assistant for Z, a generative AI assistant designed to streamline mainframe management, along with enhancements to other watsonx assistants.
Conversational Artificial Intelligence Propels Market Growth
Conversational Artificial Intelligence (AI) is significantly boosting the growth of the NLU market. Companies worldwide spend USD 1.3 trillion on 265 billion customer service calls yearly, increasing the demand for efficient solutions. Conversational AI, like chatbots and virtual assistants, are transforming customer service by offering prompt, reliable answers with minimal human interaction, which represents more investments in natural language understanding solutions and can facilitate interactions and reduce costs. The growing demand among enterprises for more efficient operations and better customer experiences is helping to expand conversational AI, thereby promoting growth in the natural language understanding market.
For example, in September 2024, SAP SE introduced Joule, a generative AI copilot embedded in its cloud enterprise portfolio, designed to transform business operations with proactive, contextualized insights for improved outcomes.
Government Initiatives Acting as a Catalyst
Governments are helping to drive the growth of the natural language understanding (NLU) market with supportive initiatives. For instance, in the United States, the AI Initiative and the European Commission's AI Act provide important funding and set clear rules that encourage innovation in natural language understanding. China's AI development plan signals new progress in language technology. The United Kingdom's National AI Strategy supports research and partnerships. Furthermore, India's National Artificial Intelligence Mission and Canada's Digital Charter are making significant impacts by investing funds in AI research work to ensure responsible use. These efforts enable the rapid development and broad proliferation of natural language understanding technologies.
For example, in May 2023, the United States invested USD 140 million to establish seven new National AI Research Institutes. This funding aims to foster responsible AI innovation, enhance the country's AI research infrastructure, and support the growth of a diverse AI workforce.
Chatbots and Virtual Assistants Lead the Natural Language Understanding Market
The higher adoption of chatbots and virtual assistant services majorly influences the natural language understanding market. The chatbot market is expected to grow as businesses are using global chatbots to reduce customer complaints and respond at a faster pace than before. 90% of companies reported quicker complaint resolution using chatbots, according to the Massachusetts Institute of Technology (MIT) Technology. Therefore, chatbots entered mainstream messaging apps, such as WhatsApp and Facebook Messenger, fueled by the push for efficiency and personalization in customer interactions. The market is competitive, with established key players performing key innovations to stay ahead. For instance, in July 2024, Salesforce, Inc. announced its first fully autonomous AI agent, Einstein Service Agent, which resolves customer service cases using natural language and generative AI, enhancing efficiency and enabling 24/7 support.
North America Dominates the Natural Language Understanding Market
North America dominates the natural language understanding (NLU) market owing to a well-established technological infrastructure and substantial contributions towards artificial intelligence. The industry has the largest technology companies in the world, including Microsoft Corp., Alphabet Inc., and IBM Corp. These companies have dedicated a substantial volume of resources for research and development in this field, allowing them to design increasingly advanced natural language understanding models that other sectors, such as healthcare, finance, or retail, can simply adopt. Moreover, high concern for data privacy and security in the region has resulted in the increasing advancement of strong language processing solutions, making it more trustworthy and reliable, accelerating North America's natural language processing market throughout the forecast period.
For instance, in February 2024, Adobe Inc.'s new AI Assistant in Reader and Acrobat enhances NLU by providing summaries, answering questions, and formatting content from trillions of PDFs, utilizing advanced AI and machine learning technologies.
Future Market Scenario (2024-2031F)
Natural language understanding systems will be multilingual and work on multiple dialects, thereby enabling global connectivity.
Natural language understanding use cases will range from customer service to healthcare, finance, and education, making it more accessible and efficient.
Chatbots and virtual assistants will deliver increasingly personalized experiences, using more sophisticated natural language understanding to recognize user intent based on the preferences of a specific person.
Natural language understanding systems will develop a better emotional understanding, allowing for more empathetic and human-like interactions.
Key Players Landscape and Outlook
AI propels the natural language understanding market as most of the prominent companies are focusing on improving chatbot and virtual assistant functionality, automating customer service, or building more sophisticated algorithms for natural language processing. The potential of the market is enormous, with an increase in demand for customized customer experience and streamlined operations across industries. Businesses further plan for expansion as investment of funds will be channeled into research and development, which should, in turn, transform multilingual support and emotional intelligence. Furthermore, the proliferation of natural language understanding applications across healthcare and finance industries will continue to boost market prospects.
In August 2024, OpenAI, Inc. partnered with Conde Nast, a subsidiary of Advance Magazine Publishers, Inc., to enhance AI-driven news discovery. This collaboration will integrate content from Conde Nast's brands into ChatGPT and SearchGPT, improving search features and user experience.
Moreover, In June 2024, SAP SE allied with Mistral AI to upgrade its enterprise software with advanced large language models to unlock new opportunities and value for SAP customers in the AI era.
All segments will be provided for all regions and countries covered
Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.