自然語言處理的全球市場 - 成長與趨勢,市場預測

Natural Language Processing Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)

出版日期: | 出版商: Mordor Intelligence Pvt Ltd | 英文 120 Pages | 商品交期: 2-3個工作天內



  • 全貌
  • 簡介
  • 目錄


第1章 簡介

  • 調查的成果
  • 調查的前提條件
  • 市場範圍

第2章 調查手法

第3章 摘要整理

第4章 市場動態

  • 市場概要
  • 簡介
  • 促進要素
  • 抑制因素
  • 價值鏈分析/供應鏈分析
  • 波特的五力分析

第5章 市場分類

  • 各應用領域
    • 語音分析
    • 文本分析
    • 感情分析
    • 模式、影像認證
    • 互動語音回覆系統(IVR)
    • 光學式文字識別(OCR)
  • 各引進
    • 公共雲端
    • 私有雲端
    • 混合雲端
  • 各終端用戶產業
    • IT、通訊
    • 醫療
    • 零售
    • 銀行、金融服務、保險
    • 其他(製造,媒體、娛樂,調查、教育)
  • 各技術
    • 認證
    • 運用
    • 分析
  • 各類服務
  • 各地區
    • 北美
    • 歐洲
    • 亞太地區
    • 南美
    • 中東、非洲

第6章 競爭的展望

  • 企業簡介
    • Google Inc.
    • Microsoft Corporation
    • 3M Company
    • SAS Institute Inc.
    • IBM Corporation
    • NetBase Solutions Inc.
    • Verint System Inc
    • Genpact Limited
    • Adobe Systems Incorporated
    • Intel Corporation
    • Nvidia Corporation
    • Amazon Web Services Inc.
    • AppOrchid Inc.
    • Inbenta Technologies Inc.
    • Veritone Inc.
    • SAP SE
    • Salesforce.com Inc.
    • Rasa Technologies GmbH
    • Babylon Healthcare Services Limited
    • Klevu Oy
    • Micro Focus International PLC (HPE)

第7章 投資分析

第8章 市場機會及今後趨勢

Product Code: 62339

The global natural language processing (NLP) market (henceforth, referred to as the market studied) was valued at USD 13.16 billion in 2020, and it is expected to be worth USD 42.04 billion by 2026, registering a CAGR of 21.5% during 2021-2026 (henceforth, referred to as the forecast period). It is expected that 85% of business engagement will be done without human interaction over the forecast period. Also, by 2020, it is estimated that Chatbots will save over USD 8 billion dollars to organizations globally. Many industry experts are also claiming that 25% of all enterprises will incorporate a chatbot or virtual customer assistant utilizing NLP technologies into their customer services by the end of 2020.

Vanguard piloted an intelligent agent that helps its customer service staff answer the frequently asked questions. It plans to eventually allow customers to engage with the cognitive agent directly, rather than with the human customer-service agents.

Furthermore, Financial institutions are utilizing NLP for various text mining, cross-border payments, foreign exchange, and many other applications. For instance, Citibank is using NLP for text mining and in biometric security applications. Text analytics is also helping in compliance and fraud prevention. For instance, electronic communications in banking(chats, emails, and instant messages) need to be monitored to reduce the risk of fraudulent account activities, external business activities, and sharing sensitive customer information.

The United Services Automobile Association, collaborated with IBM Global Services for developing text analytics solution for detecting fake insurance claims. US-based startup, VoiceBase also started offering Text Analytics functionality in parallel with voice data.

Due to the ongoing Covid-19 pandemic the market is witnessing growth in healthcare sector. For instance, In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a resource of over 200,000 scholarly articles, including over 100,000 with full text, about COVID-19, SARS-CoV-2, and related coronaviruses. This freely available dataset is provided to the global research community to apply recent advances in natural language processing and other AI techniques to generate new insights in support of the ongoing fight against this infectious disease. Such developments are further expected to drive the growth of the market during the forecast period.

Key Market Trends

Large Organizations are Expected to Register a Significant Growth

  • Large organizations are one of the primary drivers and investors in the NLP market. As these organizations are increasingly adopting deep learning, along with supervised and unsupervised machine learning technologies for various applications, the adoption of NLP is likely to increase. Cost and risk are some of the major factors driving the adoption of these technologies among large organizations.
  • Additionally, many small enterprises are dependent on large enterprises. This is due to some of the broad platform offerings from Amazon, Google, or Microsoft that are way too general, wherein, they still may be used in the industry verticals.
  • Most of the large end-user organizations across various industries are mainly utilizing these technologies to enhance their internal and external operations. Moreover, the ROI of the technology is not always in the monetary form, hence, most of the small organizations find it risky to invest in.
  • Moreover, Social media companies are also utilizing text analytics and NLP technologies for monitoring and tracking social media activities, such as political reviews and hate speeches. Platforms like Facebook and twitter are managing the published content with the help of these tools. The demand for information extraction product application is also anticipated to increase due to the growing importance of the web data for effective marketing and decision-making. Within the next few years, mobile chatbots are anticipated to revolutionize the marketing and commerce sectors.
  • Many big European retailers harnessed the power of NLP and text mining, for customer feedback sentiment analysis and hired a dedicated AI development team in Ukraine to build a solution. By integrating the sentiment analysis tool into their processes, these retailers increase customer loyalty, drive business changes, and achieve an appropriate return on sales and marketing investments.

North America to Witness the Highest Market Growth

  • According to RichRelevance, online shoppers in the United States are more inclined to use Google Assistant than the other platforms. Additionally, the utilization of smart speakers to obtain results on diverse topics is gaining increasing popularity, which, in turn, is expected to compel the companies to invest in the technology. This creates an immense opportunity for other application developers to target potential customers.
  • NLP may also enhance the customer experience programs with various added benefits, thereby attracting more consumers, which, in turn, is projected to have a positive impact on the market growth in the country. The growing innovations in the market studied, by the global players based in the United States, are bringing advancement into the NLP market and fueling the rate of product launch in the region.
  • For instance, IBM Research AI is exploring various applications of NLP for enterprise domains. For this, the company developed three programs, the first being advance AI where systems can learn from fewer amounts of data, leverage external knowledge, and use techniques that include neurosymbolic approaches to language, which combine neural and symbolic processing. The second program is an analyzing AI, which focuses on how a system reaches a decision. The third is scaling AI, which enables continuous adaptation, and better monitoring and testing of systems, in order to support the deployment of language systems under the rigorous expectations of enterprises.
  • In September 2019, NeuralMetrics Inc., a US company, announced the commercialization of its SmartRatio SaaS platform. It uses NLP and machine learning to extract actionable insights from hard-to-access and unstructured public data for better decision making, with increased revenues. The company's platform is currently live in production environments with several commercial lines that P&C insures.

Competitive Landscape

The natural language processing market is highly competitive and consists of several major players who have been trying to gain larger shares. These major players with prominent shares in the market have been focusing on expanding their customer base across foreign countries and are also providing new innovative solutions, along with deals and mergers to increase their market shares and profitability. Key players include Google Inc. and Microsoft Corporation, among others. The recent developments in the market include

  • January 2020 - NetBase announced the merger with Quid, which is one of the prominent companies in AI-driven text analytics. As a result of this merger, the combined company will have an enhanced portfolio in the next generation consumer and market intelligence solution. The merged company will deliver contextual insights that reveal business trends across all forms of structured and unstructured data.
  • January 2020 - The Royal Wolverhampton NHS Trust and Babylon entered a 10-year partnership to create an integrated digital health system to serve the Wolverhampton city's population. Babylon's Artificial Intelligence will help to provide live monitoring of patients with chronic conditions, and personalized care plans.

Reasons to Purchase this report:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support



  • 1.1 Study Assumptions and Market Definition




  • 4.1 Market Overview
  • 4.2 Industry Value Chain Analysis
  • 4.3 Industry Attractiveness
  • Porter's Five Forces


    • 4.3.1 Threat of New Entrants
    • 4.3.2 Bargaining Power of Buyers
    • 4.3.3 Bargaining Power of Suppliers
    • 4.3.4 Threat of Substitute Products
    • 4.3.5 Intensity of Competitive Rivalry
  • 4.4 Technology Snapshot


  • 5.1 Market Drivers
    • 5.1.1 Shifting Trend from Product

centric to Customer

centric Experience

    • 5.1.2 Increasing Demand for Smart

Devices Across Industrial Internet of

Things (IIoT


    • 5.1.3 Advancement in Machine


machine Communication Technology

    • 5.1.4 Increasing Amount of Digital Data

with the Rise in Use of Smart Devices

  • 5.2 Market Challenges
    • 5.2.1 Lack of Skilled Professionals Across

the Industry

    • 5.2.2 Complexity in the Shift from

Traditional to Advanced Technology

  • 5.3 Market Opportunities
  • 5.4 Impact of COVID-19 on the Natural Language Processing (NLP) Market - Key themes covered include growing focus on useof NLP for tracking scientific & disease-relateddatasets and public interest monitoring forformulating policy decisions


  • 6.1 By Deployment
    • 6.1.1 On


    • 6.1.2 Cloud
  • 6.2 By Size of the Organization
    • 6.2.1 Large Organizations
    • 6.2.2 Small and Medium Organizations
  • 6.3 By Type
    • 6.3.1 Hardware
    • 6.3.2 Software
    • 6.3.3 Services
  • 6.4 By Processing Type
    • 6.4.1 Text
    • 6.4.2 Speech/Voice
    • 6.4.3 Image
  • 6.5 By End

user Industry

    • 6.5.1 Education
    • 6.5.2 BFSI
    • 6.5.3 Healthcare
    • 6.5.4 IT and Telecom
    • 6.5.5 Retail
    • 6.5.6 Manufacturing
    • 6.5.7 Media and Entertainment
    • 6.5.8 Other End

User Industries

  • 6.6 By Geography
    • 6.6.1 North America (US & Canada)
    • 6.6.2 Europe (UK, Germany, France, etc.
    • 6.6.3 Asia Pacific (China, Japan, South Korea, India, etc.)
    • 6.6.4 Rest of the World (Latin America and Middle East and Africa)


  • 7.1 Company Profiles
      • NVIDIA Corporation
      • Intel Corporation
      • Baidu Inc.
      • Qualcomm Incorporated
      • Texas Instrument
      • Google Inc.
      • Microsoft Corporation
      • Micro Focus International PLC (HPE)
      • SAS Institute Inc.
      • IBM Corporation
      • NetBase Solutions Inc.
      • Verint System Inc.
      • Genpact Limited
      • Adobe Inc.
      • Intel Corporation
      • NVIDIA Corporation
      • Amazon Web Services Inc
      • App Orchid Inc.
      • Inbenta Technologies Inc.
      • Veritone Inc.
      • SAP SE
      • Salesforce.com Inc.
      • Rasa Technologies GmbH
      • Babylon Healthcare Services Limited
      • Klevu Oy