市場調查報告書
商品編碼
1481407
全球自然語言處理(NLP) 市場規模、佔有率、成長分析,依部署(本地、雲端)、依技術(互動式語音回應、光學字元辨識)、依行業(醫療保健、零售)- 2024-2031 年行業預測Global Natural Language Processing (NLP) Market Size, Share, Growth Analysis, By Deployment(On-premises, Cloud), By Technology(Interactive Voice Response, Optical Character Recognition), By Industry(Healthcare, Retail) - Industry Forecast 2024-2031 |
2022年全球自然語言處理(NLP)市場規模為196.8億美元,預計將從2023年的245.2億美元成長到2031年的1424.6億美元,預測期內(2024-2031年)複合年成長率為24.60% 。
在各行業對複雜語言理解和通訊工具日益成長的需求的推動下,自然語言處理 (NLP) 市場有望實現動態成長。與句子結構各不相同的人類作家不同,人工智慧生成的內容通常缺乏這種多樣性。對 NLP 解決方案的需求激增涉及醫療保健、金融、電子商務、客戶服務等領域,其中聊天機器人、情緒分析和語音識別等應用程式增強了營運和客戶參與度。推動這種成長的是在大量資訊中進行高效資料處理的必要性。機器學習和深度學習的進步進一步提高了 NLP 的精確度和能力,改變了不同產業中人類與科技的互動。
Global Natural Language Processing (NLP) Market size was valued at USD 19.68 billion in 2022 and is poised to grow from USD 24.52 billion in 2023 to USD 142.46 billion by 2031, at a CAGR of 24.60% during the forecast period (2024-2031).
The natural language processing (NLP) market is poised for dynamic growth, driven by increasing demands for sophisticated language comprehension and communication tools in various sectors. Unlike human writers who vary in their sentence structures, AI-generated content often lacks this diversity. This surge in demand for NLP solutions spans across healthcare, finance, e-commerce, customer service, and more, where applications like chatbots, sentiment analysis, and voice recognition enhance operations and customer engagement. Fueling this growth is the necessity for efficient data processing amidst an influx of information. Advancements in machine learning and deep learning further propel NLP's precision and capabilities, transforming human interactions with technology across diverse industries.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Natural Language Processing (NLP) Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Natural Language Processing (NLP) Market Segmental Analysis
The segmentation of the global Natural Language Processing (NLP) market traverse's dimensions such as Deployment, Technology, Industry, and region. The deployment landscape unfolds with distinctions in On-Premises, Cloud, and Hybrid models. Cloud deployment prevails, basking in the limelight due to scalability, cost-efficiency, and implementation ease. Notably, Hybrid deployment, straddling on-premises and cloud domains, experiences the zenith of growth, tailor-made for entities weaving data privacy and security concerns into their operational fabric.
Drivers of the GlobalNatural Language Processing (NLP) Market
Driving the growth of the Natural Language Processing (NLP) market is the increasing need for automation and streamlining operations across various sectors. NLP solutions are at the forefront, revolutionizing tasks such as customer support, data analysis, and content creation, leading to enhanced cost-effectiveness and operational efficiency.
Restraints in the GlobalNatural Language Processing (NLP) Market
Despite the considerable momentum driving advancements in natural language processing (NLP), significant challenges arise due to the scarcity of high-quality training data. This shortage acts as a major obstacle, impeding the effective development and implementation of NLP solutions, especially in niche domains and languages other than English.
Market Trends of the GlobalNatural Language Processing (NLP) Market
A prominent trend in the field of Natural Language Processing (NLP) involves the swift incorporation of multimodal AI functionalities, blending language comprehension with sensory inputs such as images, videos, and voice. This fusion amplifies the adaptability of NLP systems, paving the way for groundbreaking applications like augmented virtual assistants, advanced chatbots, and reimagined content recommendation systems. This trend is positioned as a crucial driver shaping the landscape of the NLP market, promising transformative possibilities.