▶ 調査レポート

世界の自然言語処理(NLP)市場(~2027):種類別、技術別、産業別、展開別、用途別、地域別

• 英文タイトル:Natural Language Processing Market Research Report by Type, Technology, Industry, Deployment, Application, Region - Global Forecast to 2027 - Cumulative Impact of COVID-19

360iResearchが調査・発行した産業分析レポートです。世界の自然言語処理(NLP)市場(~2027):種類別、技術別、産業別、展開別、用途別、地域別 / Natural Language Processing Market Research Report by Type, Technology, Industry, Deployment, Application, Region - Global Forecast to 2027 - Cumulative Impact of COVID-19 / MRC2303J0024資料のイメージです。• レポートコード:MRC2303J0024
• 出版社/出版日:360iResearch / 2022年10月
• レポート形態:英語、PDF、220ページ
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レポート概要
360iResearch社は、世界の自然言語処理(NLP)市場規模が2021年に160.7億ドル、2022年には187.2億ドルに到達し、今後CAGR 16.78%で成長して2027年までに407.9億ドルまで拡大すると予測しています。当調査資料では、自然言語処理(NLP)の世界市場について調査・分析を行い、序論、調査方法、エグゼクティブサマリー、市場概要、市場インサイト、種類別(ハイブリッド、ルールベース、統計的)分析、技術別(自動コーディング、分類&カテゴライズ、自動音声応答(IVR)、光学式文字認識(OCR)、パターン&画像認識)分析、産業別(自動車、金融、政府、医療&ライフサイエンス、ハイテク&電子)分析、用途別(情報抽出、機械翻訳、質問応答、レポート生成、テキスト処理)分析、地域別(南北アメリカ、アメリカ、カナダ、ブラジル、アジア太平洋、日本、中国、インド、韓国、台湾、ヨーロッパ/中東/アフリカ、イギリス、ドイツ、フランス、ロシア、その他)分析、競争状況、企業情報などの項目をまとめております。なお、当書に掲載されている企業情報には、3M Company、Amazon Web Services, Inc.、Apple, Inc.、Automated Insights, Inc.、Bitext Innovations, S.L、Conversica, Inc.、Dolbey Systems, Inc.、Google LLC by Alphabet Inc.、Health Fidelity, Inc.、Inbenta Technologies Inc.、Intel Corporationなどが含まれています。
・序論
・調査方法
・エグゼクティブサマリー
・市場概要
・市場インサイト
・世界の自然言語処理(NLP)市場規模:種類別
- ハイブリッド自然言語処理(NLP)の市場規模
- ルールベース自然言語処理(NLP)の市場規模
- 統計的自然言語処理(NLP)の市場規模
・世界の自然言語処理(NLP)市場規模:技術別
- 自動コーディングの市場規模
- 分類&カテゴライズの市場規模
- 自動音声応答(IVR)の市場規模
- 光学式文字認識(OCR)の市場規模
- パターン&画像認識の市場規模
・世界の自然言語処理(NLP)市場規模:産業別
- 自動車における市場規模
- 金融における市場規模
- 政府における市場規模
- 医療&ライフサイエンスにおける市場規模
- ハイテク&電子における市場規模
・世界の自然言語処理(NLP)市場規模:用途別
- 情報抽出における市場規模
- 機械翻訳における市場規模
- 質問応答における市場規模
- レポート生成における市場規模
- テキスト処理における市場規模
・世界の自然言語処理(NLP)市場規模:地域別
- 南北アメリカの自然言語処理(NLP)市場規模
アメリカの自然言語処理(NLP)市場規模
カナダの自然言語処理(NLP)市場規模
ブラジルの自然言語処理(NLP)市場規模
...
- アジア太平洋の自然言語処理(NLP)市場規模
日本の自然言語処理(NLP)市場規模
中国の自然言語処理(NLP)市場規模
インドの自然言語処理(NLP)市場規模
韓国の自然言語処理(NLP)市場規模
台湾の自然言語処理(NLP)市場規模
...
- ヨーロッパ/中東/アフリカの自然言語処理(NLP)市場規模
イギリスの自然言語処理(NLP)市場規模
ドイツの自然言語処理(NLP)市場規模
フランスの自然言語処理(NLP)市場規模
ロシアの自然言語処理(NLP)市場規模
...
- その他地域の自然言語処理(NLP)市場規模
・競争状況
・企業情報

The Global Natural Language Processing Market size was estimated at USD 16.07 billion in 2021 and expected to reach USD 18.72 billion in 2022, and is projected to grow at a CAGR 16.78% to reach USD 40.79 billion by 2027.

Market Statistics:
The report provides market sizing and forecast across 7 major currencies – USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period.

Market Segmentation & Coverage:
This research report categorizes the Natural Language Processing to forecast the revenues and analyze the trends in each of the following sub-markets:

Based on Type, the market was studied across Hybrid, Rule-Based, and Statistical.

Based on Technology, the market was studied across Autocoding, Classification & Categorization, Interactive Voice Response, Optical Character Recognition, Pattern & Image Recognition, Speech Analytics, and Text Analytics.

Based on Industry, the market was studied across Automotive, BFSI, Government, Healthcare & Life Sciences, High-Tech & Electronics, Media & Entertainment, Research & Education, and Retail & Consumer Goods.

Based on Deployment, the market was studied across On-Cloud and On-Premise.

Based on Application, the market was studied across Information Extraction, Machine Translation, Question Answering, Report Generation, and Text Processing.

Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.

Cumulative Impact of 2022 Russia Ukraine Conflict:
We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are significantly foreseen globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on the world economy, with especially long-term harsh effects on Russia.This report uncovers the impact of demand & supply, pricing variants, strategic uptake of vendors, and recommendations for Natural Language Processing market considering the current update on the conflict and its global response.

Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the Natural Language Processing Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis:
The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

Competitive Scenario:
The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service.

Company Usability Profiles:
The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Natural Language Processing Market, including 3M Company, Amazon Web Services, Inc., Apple, Inc., Automated Insights, Inc., Bitext Innovations, S.L, Conversica, Inc., Dolbey Systems, Inc., Google LLC by Alphabet Inc., Health Fidelity, Inc., Inbenta Technologies Inc., Intel Corporation, International Business Machines Corporation, Linguamatics Ltd., Meta Platforms, Inc., Microsoft Corporation, NetBase Quid, Rosoka Software, Inc., SAS Institute Inc., SparkCognition, Inc., and Verint Systems Inc..

The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:
1. What is the market size and forecast of the Global Natural Language Processing Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Natural Language Processing Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Natural Language Processing Market?
4. What is the competitive strategic window for opportunities in the Global Natural Language Processing Market?
5. What are the technology trends and regulatory frameworks in the Global Natural Language Processing Market?
6. What is the market share of the leading vendors in the Global Natural Language Processing Market?
7. What modes and strategic moves are considered suitable for entering the Global Natural Language Processing Market?

レポート目次

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders

2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increase Use of Smart Devices and Generated Massive Digital Data
5.1.1.2. Supportive Regulations and Adoption of Cloud-Based Solutions
5.1.1.3. Accelerating Demand from Financial Institutions Text Mining, Cross-Border Payments, and Foreign Exchange
5.1.2. Restraints
5.1.2.1. Unreliability of NLP Algorithms and Increased Complications due to Use of Code-Mixed Language
5.1.3. Opportunities
5.1.3.1. Growing Investment in Healthcare Industry to Implement NLP
5.1.3.2. Adoption of NLP-Based Applications to Improve Customer Service
5.1.3.3. Potential Application in IT & Telecom, Automotive, and Defense & Aerospace
5.1.4. Challenges
5.1.4.1. Security Concerns and Conversation with Very Minimal Data
5.2. Cumulative Impact of COVID-19

6. Natural Language Processing Market, by Type
6.1. Introduction
6.2. Hybrid
6.3. Rule-Based
6.4. Statistical

7. Natural Language Processing Market, by Technology
7.1. Introduction
7.2. Autocoding
7.3. Classification & Categorization
7.4. Interactive Voice Response
7.5. Optical Character Recognition
7.6. Pattern & Image Recognition
7.7. Speech Analytics
7.8. Text Analytics

8. Natural Language Processing Market, by Industry
8.1. Introduction
8.2. Automotive
8.3. BFSI
8.4. Government
8.5. Healthcare & Life Sciences
8.6. High-Tech & Electronics
8.7. Media & Entertainment
8.8. Research & Education
8.9. Retail & Consumer Goods

9. Natural Language Processing Market, by Deployment
9.1. Introduction
9.2. On-Cloud
9.3. On-Premise

10. Natural Language Processing Market, by Application
10.1. Introduction
10.2. Information Extraction
10.3. Machine Translation
10.4. Question Answering
10.5. Report Generation
10.6. Text Processing

11. Americas Natural Language Processing Market
11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States

12. Asia-Pacific Natural Language Processing Market
12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam

13. Europe, Middle East & Africa Natural Language Processing Market
13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom

14. Competitive Landscape
14.1. FPNV Positioning Matrix
14.1.1. Quadrants
14.1.2. Business Strategy
14.1.3. Product Satisfaction
14.2. Market Ranking Analysis, By Key Player
14.3. Market Share Analysis, By Key Player
14.4. Competitive Scenario
14.4.1. Merger & Acquisition
14.4.2. Agreement, Collaboration, & Partnership
14.4.3. New Product Launch & Enhancement
14.4.4. Investment & Funding
14.4.5. Award, Recognition, & Expansion

15. Company Usability Profiles
15.1. 3M Company
15.1.1. Business Overview
15.1.2. Key Executives
15.1.3. Product & Services
15.2. Amazon Web Services, Inc.
15.2.1. Business Overview
15.2.2. Key Executives
15.2.3. Product & Services
15.3. Apple, Inc.
15.3.1. Business Overview
15.3.2. Key Executives
15.3.3. Product & Services
15.4. Automated Insights, Inc.
15.4.1. Business Overview
15.4.2. Key Executives
15.4.3. Product & Services
15.5. Bitext Innovations, S.L
15.5.1. Business Overview
15.5.2. Key Executives
15.5.3. Product & Services
15.6. Conversica, Inc.
15.6.1. Business Overview
15.6.2. Key Executives
15.6.3. Product & Services
15.7. Dolbey Systems, Inc.
15.7.1. Business Overview
15.7.2. Key Executives
15.7.3. Product & Services
15.8. Google LLC by Alphabet Inc.
15.8.1. Business Overview
15.8.2. Key Executives
15.8.3. Product & Services
15.9. Health Fidelity, Inc.
15.9.1. Business Overview
15.9.2. Key Executives
15.9.3. Product & Services
15.10. Inbenta Technologies Inc.
15.10.1. Business Overview
15.10.2. Key Executives
15.10.3. Product & Services
15.11. Intel Corporation
15.11.1. Business Overview
15.11.2. Key Executives
15.11.3. Product & Services
15.12. International Business Machines Corporation
15.12.1. Business Overview
15.12.2. Key Executives
15.12.3. Product & Services
15.13. Linguamatics Ltd.
15.13.1. Business Overview
15.13.2. Key Executives
15.13.3. Product & Services
15.14. Meta Platforms, Inc.
15.14.1. Business Overview
15.14.2. Key Executives
15.14.3. Product & Services
15.15. Microsoft Corporation
15.15.1. Business Overview
15.15.2. Key Executives
15.15.3. Product & Services
15.16. NetBase Quid
15.16.1. Business Overview
15.16.2. Key Executives
15.16.3. Product & Services
15.17. Rosoka Software, Inc.
15.17.1. Business Overview
15.17.2. Key Executives
15.17.3. Product & Services
15.18. SAS Institute Inc.
15.18.1. Business Overview
15.18.2. Key Executives
15.18.3. Product & Services
15.19. SparkCognition, Inc.
15.19.1. Business Overview
15.19.2. Key Executives
15.19.3. Product & Services
15.20. Verint Systems Inc.
15.20.1. Business Overview
15.20.2. Key Executives
15.20.3. Product & Services

16. Appendix
16.1. Discussion Guide
16.2. License & Pricing