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1687549

自然言語処理(NLP)市場規模、シェア、成長分析:提供別、タイプ別、用途別、技術別、業界別、地域別 - 産業予測 2025~2032年

Natural Language Processing (NLP) Market Size, Share, and Growth Analysis, By Offering (Solutions, Services), By Type (Rule-Based, Statistical), By Application, By Technology, By Vertical, By Region - Industry Forecast 2025-2032


出版日
発行
SkyQuest
ページ情報
英文 197 Pages
納期
3~5営業日
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.06円
自然言語処理(NLP)市場規模、シェア、成長分析:提供別、タイプ別、用途別、技術別、業界別、地域別 - 産業予測 2025~2032年
出版日: 2025年03月18日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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概要

自然言語処理(NLP)市場規模は2023年に245億2,000万米ドルと評価され、2024年の305億5,000万米ドルから2032年には1,774億9,000万米ドルに成長し、予測期間(2025-2032年)のCAGRは24.6%で成長する見通しです。

自然言語処理(NLP)市場は、継続的なイノベーションと既存企業および新興新興企業間の激しい競争によって、大きな成長が見込まれています。この分野は依然としてダイナミックであり、今後数年間にエキサイティングな機会を提供します。高度な言語理解とコミュニケーション技術に対する需要の高まりは、ヘルスケア、金融、eコマース、カスタマーサービスなどの業界におけるNLPの拡大の主要な推進力となっています。チャットボット、感情分析、言語翻訳、音声認識など、顧客とのやり取りを強化し、業務を効率化するためのNLPアプリケーションに依存する企業が増えています。企業が膨大な量のデータを処理・分析する効率的な方法を模索する中、情報管理の自動化と最適化におけるNLPの役割は拡大し続けています。機械学習とディープラーニングの進歩は、NLPシステムをさらに強化し、その精度と機能性を向上させています。これらの開発により、企業はより高度な言語処理タスクにNLPを活用できるようになり、最終的には人間と機械の相互作用に変革をもたらします。効率性とユーザーエクスペリエンスを向上させるためにNLPを活用したソリューションが各業界で採用される中、市場は急速に進化し、複数の領域におけるコミュニケーションと自動化の未来を形作ることになるでしょう。

目次

イントロダクション

  • 調査の目的
  • 調査範囲
  • 定義

調査手法

  • 情報調達
  • 二次と一次データの方法
  • 市場規模予測
  • 市場の前提条件と制限

エグゼクティブサマリー

  • 世界市場の見通し
  • 供給と需要の動向分析
  • セグメント別機会分析

市場力学と見通し

  • 市場概要
  • 市場規模
  • 市場力学
    • 促進要因と機会
    • 抑制要因と課題
  • ポーターの分析

主な市場の考察

  • 重要成功要因
  • 競合の程度
  • 主な投資機会
  • 市場エコシステム
  • 市場の魅力指数(2024年)
  • PESTEL分析
  • マクロ経済指標
  • バリューチェーン分析
  • 価格分析
  • 技術の進歩

自然言語処理(NLP)市場規模:提供別& CAGR(2025-2032)

  • 市場概要
  • ソリューション
    • タイプ別
    • プラットフォーム
    • ソフトウェアツール
    • 展開モード別
    • クラウド
    • オンプレミス
  • サービス
    • プロフェッショナルサービス
    • トレーニングとコンサルティング
    • システム統合と実装
    • サポートとメンテナンス
    • マネージドサービス

自然言語処理(NLP)市場規模:タイプ別& CAGR(2025-2032)

  • 市場概要
  • ルールベース
  • 統計に基づく
  • ハイブリッド

自然言語処理(NLP)市場規模:用途別& CAGR(2025-2032)

  • 市場概要
  • 顧客体験管理
  • バーチャルアシスタント/チャットボット
  • ソーシャルメディアモニタリング
  • 感情分析
  • テキスト分類と要約
  • 従業員のオンボーディングと採用
  • 言語生成と音声認識
  • 機械翻訳
  • その他の用途

自然言語処理(NLP)市場規模:技術別& CAGR(2025-2032)

  • 市場概要
  • 光学文字認識
  • インタラクティブ音声応答
  • 自動コーディング
  • テキスト分析
  • 音声分析
  • 画像とパターンの認識
  • シミュレーションとモデリング

自然言語処理(NLP)市場規模:業界別& CAGR(2025-2032)

  • 市場概要
  • BFSI
  • ITとITeS
  • 小売業と電子商取引
  • ヘルスケアとライフサイエンス
  • 運輸と物流
  • 政府と公共部門
  • メディアとエンターテイメント
  • 製造業
  • 通信
  • その他
    • 教育
    • 旅行とホスピタリティ
    • 自動車
    • エネルギーと公益事業

自然言語処理(NLP)市場規模:地域別& CAGR(2025-2032)

  • 北米
    • 米国
    • カナダ
  • 欧州
    • ドイツ
    • スペイン
    • フランス
    • 英国
    • イタリア
    • その他欧州地域
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • ラテンアメリカ
    • ブラジル
    • その他ラテンアメリカ地域
  • 中東・アフリカ
    • GCC諸国
    • 南アフリカ
    • その他中東・アフリカ

競合情報

  • 上位5社の比較
  • 主要企業の市場ポジショニング(2024年)
  • 主な市場企業が採用した戦略
  • 最近の市場動向
  • 企業の市場シェア分析(2024年)
  • 主要企業の企業プロファイル
    • 企業の詳細
    • 製品ポートフォリオ分析
    • 企業のセグメント別シェア分析
    • 収益の前年比比較(2022-2024)

主要企業プロファイル

  • Alphabet Inc.(Google)(United States)
  • Microsoft Corporation(United States)
  • International Business Machines Corporation(IBM)(United States)
  • Amazon.com, Inc.(United States)
  • Meta Platforms, Inc.(Facebook)(United States)
  • Apple Inc.(United States)
  • Baidu, Inc.(China)
  • Alibaba Group Holding Limited(China)
  • SAP SE(Germany)
  • Oracle Corporation(United States)
  • Salesforce.com, Inc.(United States)
  • NVIDIA Corporation(United States)
  • Cerence Inc.(United States)
  • SoundHound AI, Inc.(United States)
  • Artificial Solutions International AB(Sweden)
  • Tencent Holdings Limited(China)
  • Adobe Inc.(United States)
  • Cognizant Technology Solutions Corporation(United States)
  • Infosys Limited(India)

結論と提言

目次
Product Code: SQMIG45A2230

Natural Language Processing (NLP) Market size was valued at USD 24.52 Billion in 2023 and is poised to grow from USD 30.55 Billion in 2024 to USD 177.49 Billion by 2032, growing at a CAGR of 24.6% during the forecast period (2025-2032).

The natural language processing (NLP) market is poised for significant growth, driven by continuous innovation and intense competition among established companies and emerging startups. This sector remains dynamic, offering exciting opportunities in the coming years. The rising demand for advanced language comprehension and communication technologies is a key driver of NLP's expansion across industries such as healthcare, finance, e-commerce, and customer service. Businesses increasingly rely on NLP applications, including chatbots, sentiment analysis, language translation, and voice recognition, to enhance customer interactions and streamline operations. As organizations seek efficient ways to process and analyze vast amounts of data, NLP's role in automating and optimizing information management continues to expand. Advancements in machine learning and deep learning have further strengthened NLP systems, improving their accuracy and functionality. These developments enable businesses to leverage NLP for more sophisticated language processing tasks, ultimately transforming human-machine interactions. With industries embracing NLP-driven solutions to enhance efficiency and user experience, the market is set to evolve rapidly, shaping the future of communication and automation across multiple domains.

Top-down and bottom-up approaches were used to estimate and validate the size of the 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.

Natural Language Processing (NLP) Market Segments Analysis

Global Natural Language Processing (NLP) Market is segmented into Offering, Type, Application, Technology, Vertical and region. Based on Offering, the market is segmented into Solutions and Services. Based on Type, the market is segmented into Rule-Based, Statistical and Hybrid. Based on Application, the market is segmented into Customer Experience Management, Virtual Assistants/Chatbots, Social Media Monitoring, Sentiment Analysis, Text Classification & Summarization, Employee Onboarding & Recruiting, Language Generation & Speech Recognition, Machine Translation and Other Applications. Based on Technology, the market is segmented into Optical Character Recognition, Interactive Voice Response, Auto Coding, Text Analytics, Speech Analytics, Image & Pattern Recognition and Simulation & Modeling. Based on Vertical, the market is segmented into BFSI, IT & ITeS, Retail & eCommerce, Healthcare and Life Sciences, Transportation and Logistics, Government and Public Sector, Media & Entertainment, Manufacturing, Telecom and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Natural Language Processing (NLP) Market

The growth of the Natural Language Processing (NLP) market is driven by the increasing demand for automation and efficiency across various industries. NLP plays a crucial role in streamlining processes by automating tasks such as customer support, data analysis, and content creation. By integrating NLP solutions, businesses can enhance operational efficiency, reduce costs, and improve overall productivity. As industries continue to embrace AI-driven innovations, NLP technology is becoming an essential tool for optimizing workflows and enhancing user experiences, solidifying its importance in the evolving digital landscape.

Restraints in the Natural Language Processing (NLP) Market

The advancement of Natural Language Processing (NLP) faces significant challenges due to the scarcity of high-quality training data, particularly for low-resource languages and specialized fields. Many languages lack extensive digital content and standardized linguistic resources, making it difficult to develop effective NLP models. This data scarcity is further exacerbated by the unique linguistic features of these languages, which are often not represented in existing NLP frameworks. Additionally, specialized domains suffer from limited annotated datasets, hindering the development of domain-specific NLP applications. These constraints impede the progress and deployment of NLP solutions across diverse languages and specialized sectors.

Market Trends of the Natural Language Processing (NLP) Market

A prominent trend in Natural Language Processing (NLP) is the swift integration of multimodal AI capabilities, combining language understanding with sensory inputs such as images, videos, and audio. This convergence enhances the adaptability of NLP systems, leading to transformative applications like advanced virtual assistants, interactive chatbots, and sophisticated content recommendation systems. Major tech companies are actively developing multimodal AI models. For instance, Meta's Llama 3.2 can process both visual and textual information, enabling more versatile AI applications. Similarly, Amazon's Nova models, including Nova Lite and Nova Pro, are designed to handle images, videos, and text, expanding the potential of NLP systems. This evolution signifies a pivotal shift in the NLP market, as integrating multiple data modalities allows AI systems to understand and interact with information more comprehensively, thereby enhancing user experiences across various platforms.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2024
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis
  • Technological Advancement

Global Natural Language Processing (NLP) Market Size by Offering & CAGR (2025-2032)

  • Market Overview
  • Solutions
    • Type
    • Platforms
    • Software tools
    • Deployment Mode
    • Cloud
    • On Premises
  • Services
    • Professional Services
    • Training & Consulting
    • System Integration & Implementation
    • Support & Maintenance
    • Managed Services

Global Natural Language Processing (NLP) Market Size by Type & CAGR (2025-2032)

  • Market Overview
  • Rule-Based
  • Statistical
  • Hybrid

Global Natural Language Processing (NLP) Market Size by Application & CAGR (2025-2032)

  • Market Overview
  • Customer Experience Management
  • Virtual Assistants/Chatbots
  • Social Media Monitoring
  • Sentiment Analysis
  • Text Classification & Summarization
  • Employee Onboarding & Recruiting
  • Language Generation & Speech Recognition
  • Machine Translation
  • Other Applications

Global Natural Language Processing (NLP) Market Size by Technology & CAGR (2025-2032)

  • Market Overview
  • Optical Character Recognition
  • Interactive Voice Response
  • Auto Coding
  • Text Analytics
  • Speech Analytics
  • Image & Pattern Recognition
  • Simulation & Modeling

Global Natural Language Processing (NLP) Market Size by Vertical & CAGR (2025-2032)

  • Market Overview
  • BFSI
  • IT & ITeS
  • Retail & eCommerce
  • Healthcare and Life Sciences
  • Transportation and Logistics
  • Government and Public Sector
  • Media & Entertainment
  • Manufacturing
  • Telecom
  • Others
    • Education
    • Travel & Hospitality
    • Automotive
    • Energy & Utilities

Global Natural Language Processing (NLP) Market Size & CAGR (2025-2032)

  • North America (Offering, Type, Application, Technology, Vertical)
    • US
    • Canada
  • Europe (Offering, Type, Application, Technology, Vertical)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Offering, Type, Application, Technology, Vertical)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Offering, Type, Application, Technology, Vertical)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Offering, Type, Application, Technology, Vertical)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2024
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2024
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

  • Alphabet Inc. (Google) (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • International Business Machines Corporation (IBM) (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amazon.com, Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Meta Platforms, Inc. (Facebook) (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Apple Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Baidu, Inc. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Alibaba Group Holding Limited (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAP SE (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Oracle Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Salesforce.com, Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • NVIDIA Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cerence Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SoundHound AI, Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Artificial Solutions International AB (Sweden)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Tencent Holdings Limited (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Adobe Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cognizant Technology Solutions Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Infosys Limited (India)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations