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市场调查报告书
商品编码
1746651

日本认知运算市场报告（按技术、部署类型、企业规模、产业垂直领域和地区）2025 年至 2033 年

Japan Cognitive Computing Market Report by Technology, Deployment Type, Enterprise Size, Industry Vertical, and Region 2025-2033
出版日期: | 出版商: IMARC | 英文 119 Pages | 商品交期: 5-7个工作天内

价格
简介目录

2024年，日本认知运算市场规模达29.511亿美元。展望未来， IMARC Group预计到2033年，该市场规模将达到273.729亿美元，2025-2033年期间的复合年增长率（CAGR）为28.10%。对进阶分析（包括自然语言处理（NLP）、机器学习和深度学习）的需求日益增长，这些分析旨在从资料中提取有意义的模式和洞察，推动市场的发展。

认知运算是人工智慧 (AI) 的一个分支，旨在创建能够模仿人类思考过程的系统。它结合了各种 AI 技术，包括 NLP、机器学习和神经网络，使电脑能够理解和解释复杂资料、像人类一样推理并做出明智的决策。与依赖显式程式设计的传统运算不同，认知运算系统可以从大量资料中学习并适应新资讯。它们擅长处理涉及非结构化资料（例如文字、图像和语音）的任务，这使其在医疗诊断、客户服务和财务分析等领域具有价值。认知运算系统可以以更自然、更对话的方式与使用者交互，使他们能够回答问题、提供见解并协助决策。 IBM 的 Watson 以及 Siri 和 Alexa 等聊天机器人就是认知运算应用的例子，它们透过增强资料分析、解决问题和人机互动来改变产业。

日本认知运算市场趋势：

日本的认知运算市场正经历强劲成长，这归因于几个相互关联的因素。首先，资料产生和可用性的急剧增长，再加上从这些资料中提取有意义见解的需求，推动了对认知运算解决方案的需求。此外，业务营运和决策过程日益复杂，需要更先进、更具适应性的系统，从而进一步推动了市场的扩张。此外，人工智慧、机器学习和 NLP 等各种技术的融合显着增强了认知运算系统的功能。此外，企业对认知运算的潜在好处的认识不断提高，例如改善客户服务、提高效率和降低成本，这已成为重要驱动力。除此之外，在预测期内，对个人化使用者体验的日益重视以及医疗保健、金融和製造业等多个行业对日常任务自动化的需求预计将推动日本的认知运算市场发展。

日本认知运算市场区隔：

技术洞察：

  • 自然语言处理
  • 机器学习
  • 自动推理
  • 其他的

部署类型洞察：

  • 本地
  • 基于云端

企业规模洞察：

  • 中小企业
  • 大型企业

产业垂直洞察：

  • 卫生保健
  • 金融服务业
  • 零售
  • 政府
  • 资讯科技和电信
  • 能源和电力
  • 其他的

竞争格局：

市场研究报告也对竞争格局进行了全面的分析。报告涵盖了市场结构、关键参与者定位、最佳制胜策略、竞争仪錶板和公司评估象限等竞争分析。此外，报告还提供了所有主要公司的详细资料。

本报告回答的关键问题：

  • 日本认知运算市场目前表现如何？未来几年会如何表现？
  • COVID-19 对日本认知运算市场有何影响？
  • 日本认知运算市场在技术基础上的划分是怎么样的？
  • 根据部署类型，日本认知运算市场是如何分類的？
  • 日本认知运算市场依企业规模划分是怎样的？
  • 日本认知运算市场依产业垂直分類的分布是怎么样的？
  • 日本认知运算市场的价值链分为哪些阶段？
  • 日本认知运算的关键驱动因素和挑战是什么？
  • 日本认知运算市场的结构是怎么样的？主要参与者是谁？
  • 日本认知运算市场的竞争程度如何？

本报告回答的关键问题：

  • 日本认知运算市场目前表现如何？未来几年会如何表现？
  • COVID-19 对日本认知运算市场有何影响？
  • 日本认知运算市场在技术基础上的划分是怎么样的？
  • 根据部署类型，日本认知运算市场是如何分類的？
  • 日本认知运算市场依企业规模划分是怎样的？
  • 日本认知运算市场依产业垂直分類的分布是怎么样的？
  • 日本认知运算市场的价值链分为哪些阶段？
  • 日本认知运算的关键驱动因素和挑战是什么？
  • 日本认知运算市场的结构是怎么样的？主要参与者是谁？
  • 日本认知运算市场的竞争程度如何？

目录

第一章：前言

第二章：范围与方法

  • 研究目标
  • 利害关係人
  • 资料来源
    • 主要来源
    • 次要来源
  • 市场评估
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第三章：执行摘要

第四章：日本认知运算市场 - 简介

  • 概述
  • 市场动态
  • 产业趋势
  • 竞争情报

第五章：日本认知运算市场格局

  • 历史与当前市场趋势（2019-2024）
  • 市场预测（2025-2033）

第六章：日本认知运算市场 - 细分：依技术

  • 自然语言处理
    • 概述
  • 机器学习
    • 概述
  • 自动推理
    • 概述
  • 其他的

第七章：日本认知运算市场 - 细分：依部署类型

  • 本地
    • 概述
  • 基于云端
    • 概述

第 8 章：日本认知运算市场 - 细分：依企业规模

  • 中小企业
    • 概述
  • 大型企业
    • 概述

第九章：日本认知运算市场-细分：依垂直产业

  • 卫生保健
    • 概述
  • 金融服务业
    • 概述
  • 零售
    • 概述
  • 政府
    • 概述
  • 资讯科技和电信
    • 概述
  • 能源和电力
    • 概述
  • 其他的

第十章：日本认知运算市场-竞争格局

  • 概述
  • 市场结构
  • 市场参与者定位
  • 最佳获胜策略
  • 竞争仪錶板
  • 公司评估象限

第 11 章：关键参与者简介

  • Company A
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • Company B
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • Company C
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • Company D
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • Company E
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events

第 12 章：日本认知运算市场 - 产业分析

  • 驱动因素、限制因素和机会
    • 概述
    • 驱动程式
    • 限制
    • 机会
  • 波特五力分析
    • 概述
    • 买家的议价能力
    • 供应商的议价能力
    • 竞争程度
    • 新进入者的威胁
    • 替代品的威胁
  • 价值链分析

第 13 章：附录

简介目录
Product Code: SR112025A19298

Japan cognitive computing market size reached USD 2,951.1 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 27,372.9 Million by 2033, exhibiting a growth rate (CAGR) of 28.10% during 2025-2033. The increasing demand for advanced analytics, including natural language processing (NLP), machine learning, and deep learning, to extract meaningful patterns and insights from data, is driving the market.

Cognitive computing is a branch of artificial intelligence (AI) that aims to create systems capable of mimicking human thought processes. It combines various AI technologies, including NLP, machine learning, and neural networks, to enable computers to understand and interpret complex data, reason like humans, and make informed decisions. Unlike traditional computing, which relies on explicit programming, cognitive computing systems can learn from vast amounts of data and adapt to new information. They excel in tasks that involve unstructured data, such as text, images, and speech, making them valuable in areas like healthcare diagnostics, customer service, and financial analysis. Cognitive computing systems can interact with users in a more natural and conversational manner, enabling them to answer questions, provide insights, and assist in decision-making. IBM's Watson and chatbots like Siri and Alexa are examples of cognitive computing applications that are transforming industries by enhancing data analysis, problem-solving, and human-computer interaction.

Japan Cognitive Computing Market Trends:

The cognitive computing market in Japan is experiencing robust growth due to several interconnected factors. Firstly, the exponential increase in data generation and availability, coupled with the need for extracting meaningful insights from this data, has driven the demand for cognitive computing solutions. Additionally, the ever-growing complexity of business operations and decision-making processes has necessitated more advanced and adaptive systems, further propelling the market's expansion. Furthermore, the convergence of various technologies, such as artificial intelligence, machine learning, and NLP, has significantly enhanced the capabilities of cognitive computing systems. Moreover, the rising awareness among businesses about the potential benefits of cognitive computing, such as improved customer service, enhanced efficiency, and cost reduction, has acted as a significant driver. Apart from this, the growing emphasis on personalized user experiences and the need to automate routine tasks in several industries, like healthcare, finance, and manufacturing, is expected to drive the cognitive computing market in Japan during the forecast period.

Japan Cognitive Computing Market Segmentation:

Technology Insights:

  • Natural Language Processing
  • Machine Learning
  • Automated Reasoning
  • Others

Deployment Type Insights:

  • On-premises
  • Cloud-based

Enterprise Size Insights:

  • Small and Medium-sized Enterprises
  • Large Enterprises

Industry Vertical Insights:

  • Healthcare
  • BFSI
  • Retail
  • Government
  • IT and Telecom
  • Energy and Power
  • Others

Competitive Landscape:

The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.

Key Questions Answered in This Report:

  • How has the Japan cognitive computing market performed so far and how will it perform in the coming years?
  • What has been the impact of COVID-19 on the Japan cognitive computing market?
  • What is the breakup of the Japan cognitive computing market on the basis of technology?
  • What is the breakup of the Japan cognitive computing market on the basis of deployment type?
  • What is the breakup of the Japan cognitive computing market on the basis of enterprise size?
  • What is the breakup of the Japan cognitive computing market on the basis of industry vertical?
  • What are the various stages in the value chain of the Japan cognitive computing market?
  • What are the key driving factors and challenges in the Japan cognitive computing?
  • What is the structure of the Japan cognitive computing market and who are the key players?
  • What is the degree of competition in the Japan cognitive computing market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Japan Cognitive Computing Market - Introduction

  • 4.1 Overview
  • 4.2 Market Dynamics
  • 4.3 Industry Trends
  • 4.4 Competitive Intelligence

5 Japan Cognitive Computing Market Landscape

  • 5.1 Historical and Current Market Trends (2019-2024)
  • 5.2 Market Forecast (2025-2033)

6 Japan Cognitive Computing Market - Breakup by Technology

  • 6.1 Natural Language Processing
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2019-2024)
    • 6.1.3 Market Forecast (2025-2033)
  • 6.2 Machine Learning
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2019-2024)
    • 6.2.3 Market Forecast (2025-2033)
  • 6.3 Automated Reasoning
    • 6.3.1 Overview
    • 6.3.2 Historical and Current Market Trends (2019-2024)
    • 6.3.3 Market Forecast (2025-2033)
  • 6.4 Others
    • 6.4.1 Historical and Current Market Trends (2019-2024)
    • 6.4.2 Market Forecast (2025-2033)

7 Japan Cognitive Computing Market - Breakup by Deployment Type

  • 7.1 On-premises
    • 7.1.1 Overview
    • 7.1.2 Historical and Current Market Trends (2019-2024)
    • 7.1.3 Market Forecast (2025-2033)
  • 7.2 Cloud-based
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2019-2024)
    • 7.2.3 Market Forecast (2025-2033)

8 Japan Cognitive Computing Market - Breakup by Enterprise Size

  • 8.1 Small and Medium-sized Enterprises
    • 8.1.1 Overview
    • 8.1.2 Historical and Current Market Trends (2019-2024)
    • 8.1.3 Market Forecast (2025-2033)
  • 8.2 Large Enterprises
    • 8.2.1 Overview
    • 8.2.2 Historical and Current Market Trends (2019-2024)
    • 8.2.3 Market Forecast (2025-2033)

9 Japan Cognitive Computing Market - Breakup by Industry Vertical

  • 9.1 Healthcare
    • 9.1.1 Overview
    • 9.1.2 Historical and Current Market Trends (2019-2024)
    • 9.1.3 Market Forecast (2025-2033)
  • 9.2 BFSI
    • 9.2.1 Overview
    • 9.2.2 Historical and Current Market Trends (2019-2024)
    • 9.2.3 Market Forecast (2025-2033)
  • 9.3 Retail
    • 9.3.1 Overview
    • 9.3.2 Historical and Current Market Trends (2019-2024)
    • 9.3.3 Market Forecast (2025-2033)
  • 9.4 Government
    • 9.4.1 Overview
    • 9.4.2 Historical and Current Market Trends (2019-2024)
    • 9.4.3 Market Forecast (2025-2033)
  • 9.5 IT and Telecom
    • 9.5.1 Overview
    • 9.5.2 Historical and Current Market Trends (2019-2024)
    • 9.5.3 Market Forecast (2025-2033)
  • 9.6 Energy and Power
    • 9.6.1 Overview
    • 9.6.2 Historical and Current Market Trends (2019-2024)
    • 9.6.3 Market Forecast (2025-2033)
  • 9.7 Others
    • 9.7.1 Historical and Current Market Trends (2019-2024)
    • 9.7.2 Market Forecast (2025-2033)

10 Japan Cognitive Computing Market - Competitive Landscape

  • 10.1 Overview
  • 10.2 Market Structure
  • 10.3 Market Player Positioning
  • 10.4 Top Winning Strategies
  • 10.5 Competitive Dashboard
  • 10.6 Company Evaluation Quadrant

11 Profiles of Key Players

  • 11.1 Company A
    • 11.1.1 Business Overview
    • 11.1.2 Services Offered
    • 11.1.3 Business Strategies
    • 11.1.4 SWOT Analysis
    • 11.1.5 Major News and Events
  • 11.2 Company B
    • 11.2.1 Business Overview
    • 11.2.2 Services Offered
    • 11.2.3 Business Strategies
    • 11.2.4 SWOT Analysis
    • 11.2.5 Major News and Events
  • 11.3 Company C
    • 11.3.1 Business Overview
    • 11.3.2 Services Offered
    • 11.3.3 Business Strategies
    • 11.3.4 SWOT Analysis
    • 11.3.5 Major News and Events
  • 11.4 Company D
    • 11.4.1 Business Overview
    • 11.4.2 Services Offered
    • 11.4.3 Business Strategies
    • 11.4.4 SWOT Analysis
    • 11.4.5 Major News and Events
  • 11.5 Company E
    • 11.5.1 Business Overview
    • 11.5.2 Services Offered
    • 11.5.3 Business Strategies
    • 11.5.4 SWOT Analysis
    • 11.5.5 Major News and Events

12 Japan Cognitive Computing Market - Industry Analysis

  • 12.1 Drivers, Restraints, and Opportunities
    • 12.1.1 Overview
    • 12.1.2 Drivers
    • 12.1.3 Restraints
    • 12.1.4 Opportunities
  • 12.2 Porters Five Forces Analysis
    • 12.2.1 Overview
    • 12.2.2 Bargaining Power of Buyers
    • 12.2.3 Bargaining Power of Suppliers
    • 12.2.4 Degree of Competition
    • 12.2.5 Threat of New Entrants
    • 12.2.6 Threat of Substitutes
  • 12.3 Value Chain Analysis

13 Appendix