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市場調查報告書

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, and Forecast (2020 - 2025)

出版商 Mordor Intelligence LLP 商品編碼 669971
出版日期 內容資訊 英文 220 Pages
商品交期: 2-3個工作天內
價格
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, and Forecast (2020 - 2025)
出版日期: 2020年03月01日內容資訊: 英文 220 Pages
簡介

本報告涵括自然語言處理的全球市場的促進要素與抑制因素,各應用領域、引進、終端用戶產業、技術、服務、地區的分析,及主要供應商的簡介,投資分析等資訊。

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

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目錄
Product Code: 62339

The global natural language processing (NLP) market was valued at USD 10.93 billion in 2019, and it is expected to be worth USD 34.80 billion by 2025, registering a CAGR of 21.5% during 2020-2025. Over the past few years, deep learning architectures and algorithms have made impressive advances in the fields of text analytics. Most of the marketing agencies are adopting text analytics solutions to enhance their marketing programs. The growing trend for mobile marketing is developing space for the studied segment to expand over the forecast period. Product innovation is still a significant trend in the text analytics market, which is mainly helping the market vendors to expand the customer base. For instance, Rosoka Software launched the analyst's notebook, Rosoka Text Analytics, which can be used to analyze unstructured documents in over 200 languages. This is expected to boost the company's audience reach, thereby fueling the financials.

  • The shifting trend from product-centric to customer-centric experience drives the market. The usage of the internet and an ever-expanding means of communication, consumption, and interaction has empowered consumers. Companies have been forced to rethink their branding and business models.
  • Customer engagement vendors are incorporating AI capabilities into their platforms, in order to enable end users to create scalable, individualized customer experiences without the need for manual programming or logic building. It is estimated that the increased revenue due to the adoption of AI in customer relationship management activities may cross USD 125 billion, in the United States alone, by 2021.
  • Increasing demand for smart devices across Industrial Internet of Things (IIoT) drives the market. The Industrial Internet of Things (IIoT) uses networked sensors and intelligent devices directly on the manufacturing floor, for collecting data to drive artificial intelligence and predictive analytics.
  • Industries use products, such as networking devices, sensors for temperature, pressure, and flow measurement, and connected devices in huge numbers. The initial cost of implementation and the internal rate of return (IRR) period are the major factors impacting the decisions related to the implementation of such products, services, and software associated with them.
  • However, complexity in the shift from traditional to advanced technology challenges the market to grow. The transition from the existing legacy system to SaaS platforms is an expensive process involving technical and non-technical resources and other challenges. Also, the lack of understanding of cloud computing migration leads to many migration failures in achieving organizational goals.

Key Market Trends

Speech/Voice is Expected to Register a Significant Growth

  • Speech analytics solutions are gaining popularity among enterprises across the world since the conventional text-based analytics solutions adopted by enterprises is no longer enough to handle complex business issues. Many organizations are deploying speech analytics through a combination of internally recorded data, social media data, and external syndicated data, mainly to have a better understanding of their customer requirements.
  • The growing advancement in voice assistant technologies, such as Amazon's Alexa, is fueling the adoption of speech analytics over the forecast period. In 2017, May 16, the US President Donald Trump "addressed" a conference in Tianjin from Washington, where he speaks flawless Chinese. This advanced voice assistance feature was developed by iFlytek Co Ltd.
  • Further, the e-commerce titan Alibaba joined the likes of Tencent Holdings and Baidu, in the race to develop AI that can enrich social media feeds and target ads and services, by using natural language processing. Moreover, NLP has been endorsed by the government as a part of its national-level plan that calls for the country to become the industry leader by 2030.
  • During the Global Shopping Festival 2017, organized by Alibaba, the company handled 95% of customer service inquiries through its self-developed virtual customer service chatbot. Additionally, the company launched a smart speaker system, Tmall Genie, which uses NLP and AliGenie voice assistant to receive customers' requests in Mandarin Chinese. Thus, the advent of such speakers in the market is also anticipated to drive the demand for NLP in the country.
  • Additionally, emerging companies, like Homebase has further developed new skills for voice assistants, which now can answer questions, such as what are the pool hours?, how much is my rent?, and what is the status of my maintenance ticket?, etc., which exhibit the advancements in AI-based assistants for NLP.
  • Further, North America is one of the major markets for natural language processing, owing to its dominance in AI and machine learning (ML) technologies. 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.

Asia-Pacific to Witness the Highest Market Growth

  • The Asia-Pacific region is one of the most potential markets for the NLP industry. The region is also witnessing an increasing rate of adoption of the AI and ML technologies, especially among SMEs in the region. The voice assistance market is also booming in Asia, and the region is home to many consumer electronics manufacturers, including smart speakers and smartphones.
  • In the present scenario, most of the AI development is done by large internet companies across the world. Apart from the United States, most of these companies are based in China. The Chinese government has also been very active in advancing its AI strategy. The growth of NLP in the country is mainly fueled by the governmental blueprint, which was outlined in 2017, in order to make the country the world's uncontested AI power in the next decade.
  • Further, the Indian government is creating policies and making investments, with an aim to encourage AI-based startups. The growing digital adoption among the regional SMEs may also expand the growth of the market studied. Deploying an NLP-enabled chatbot can bridge the language gap between the English speaking and non-English speaking population of India, by providing multi-language support.
  • Moreover, some of the prominent banks in India already deployed NLP and AI chatbots to enhance the customer-interaction process. For instance, HDFC Bank collaborated with Senseforth and launched 'EVA' (Electronic Virtual Assistant). The chatbot addressed 2.7 million queries in the first six months. These instances contributes to the growth of the market during forecast period.

Competitive Landscape

The natural language processing market is highly competitive and consists of several major players who are trying to gain larger shares. These major players with prominent shares in the market are 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 are Google Inc., Microsoft Corporation, etc. Recent developments in the market are -

  • Oct 2019 - Google LLC was planning to augment its search engine with natural-language processing features that were expected to be equipped with the most significant update of the past five years. Google planned to add new NLP models to its search engine that uses a technique called Bidirectional Encoder Representations from Transformers, or BERT, to analyze user queries. The method allows artificial intelligence algorithms to interpret text more accurately by analyzing how the words in a sentence relate to one another.
  • Jan 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.

Reasons to Purchase this report:

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

Table of Contents

1 INTRODUCTION

  • 1.1 Study Deliverables
  • 1.2 Study Assumptions
  • 1.3 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Introduction to Market Drivers and Restraints
  • 4.3 Market Drivers
    • 4.3.1 Shifting Trend from Product-centric to Customer-centric Experience
    • 4.3.2 Increasing Demand for Smart Devices Across Industrial Internet of Things (IIoT)
    • 4.3.3 Advancement in Machine-to-machine Communication Technology
    • 4.3.4 Increasing Amount of Digital Data with the Rise in Use of Smart Devices
  • 4.4 Market Challenges
    • 4.4.1 Lack of Skilled Professionals Across the Industry
    • 4.4.2 Complexity in the Shift from Traditional to Advanced Technology
  • 4.5 Market Opportunities
    • 4.5.1 Increasing Adoption of Cognitive Technology in the Field of Artificial Intelligence

5 MARKET SEGMENTATION

  • 5.1 By Deployment
    • 5.1.1 On-Premise
    • 5.1.2 Cloud
  • 5.2 By Size of the Organization
    • 5.2.1 Large Organizations
    • 5.2.2 Small and Medium Organizations
  • 5.3 By Type
    • 5.3.1 Hardware
    • 5.3.2 Software
    • 5.3.3 Services
  • 5.4 By Processing Type
    • 5.4.1 Text
    • 5.4.2 Speech/Voice
    • 5.4.3 Image
  • 5.5 By End-user Industry
    • 5.5.1 Education
    • 5.5.2 BFSI
    • 5.5.3 Healthcare
    • 5.5.4 IT and Telecom
    • 5.5.5 Retail
    • 5.5.6 Manufacturing
    • 5.5.7 Media and Entertainment
    • 5.5.8 Other End-User Industries
  • 5.6 Geography
    • 5.6.1 North America
    • 5.6.2 Europe
    • 5.6.3 Asia-Pacific
    • 5.6.4 Rest of the World

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 Hardware Providers
      • 6.1.1.1 NVIDIA Corporation
      • 6.1.1.2 Intel Corporation
      • 6.1.1.3 Baidu Inc.
      • 6.1.1.4 Qualcomm Incorporated
      • 6.1.1.5 Texas Instrument
    • 6.1.2 Software and Service Providers
      • 6.1.2.1 Google Inc.
      • 6.1.2.2 Microsoft Corporation
      • 6.1.2.3 Micro Focus International PLC (HPE)
      • 6.1.2.4 SAS Institute Inc.
      • 6.1.2.5 IBM Corporation
      • 6.1.2.6 NetBase Solutions Inc.
      • 6.1.2.7 Verint System Inc.
      • 6.1.2.8 Genpact Limited
      • 6.1.2.9 Adobe Inc.
      • 6.1.2.10 Intel Corporation
      • 6.1.2.11 NVIDIA Corporation
      • 6.1.2.12 Amazon Web Services Inc.
      • 6.1.2.13 App Orchid Inc.
      • 6.1.2.14 Inbenta Technologies Inc.
      • 6.1.2.15 Veritone Inc.
      • 6.1.2.16 SAP SE
      • 6.1.2.17 Salesforce.com Inc.
      • 6.1.2.18 Rasa Technologies GmbH
      • 6.1.2.19 Babylon Healthcare Services Limited
      • 6.1.2.20 Klevu Oy

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS