查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1609917

2025-2033 年日本人工智慧市场规模、份额、趋势和预测（按类型、产品、技术、系统、最终用途产业和地区）

Japan Artificial Intelligence Market Size, Share, Trends and Forecast by Type, Offering, Technology, System, End Use Industry, and Region, 2025-2033
出版日期: | 出版商: IMARC | 英文 120 Pages | 商品交期: 5-7个工作天内

价格
简介目录

2024 年日本人工智慧IMARC Group规模为 66 亿美元。这个市场的推动因素是越来越依赖人工智慧(AI) 驱动的聊天机器人来即时註册和解决客户查询，以及越来越多地采用自动导引车(AGV) 来识别道路上的障碍物并检测动态变化。

资讯和通讯 (ICT) 系统产生大量资料，为人工智慧 (AI) 演算法提供动力。日本拥有强大的ICT基础设施，包括高速互联网和5G网络，有利于即时资料处理和人工智慧应用的无缝整合。企业可以收集、处理和分析资料，以提高金融和医疗保健领域的准确性和功能。人工智慧用于优化网路效能、调整参数、预测流量模式并检测潜在问题。 ICT 支援物联网 (IoT)，使互连设备能够通讯和共享资料。它还提供人工智慧开发的硬体、软体和平台。人工智慧有助于识别网路钓鱼尝试、恶意软体和其他漏洞，以改善 ICT 系统的安全状况。根据 IMARC 集团的报告，到 2033 年，日本资讯与通讯技术 (ICT) 市场预计将达到 5,300 亿美元。

由于人工智慧，绿色技术可以增强其能力并实现更大的永续发展目标。人工智慧可以分析大型数据集并即时监控能源、水和原材料等资源的使用情况。它可以识别低效率并优化消耗，以减少浪费并促进製造业、农业和能源生产等行业更永续的实践。人工智慧可以实现自动分类和挑选材料以供重复使用，以改善废弃物管理和回收流程。除此之外，人工智慧驱动的模型可以预测环境风险、气候变迁、自然灾害和污染程度。它可以提供有价值的见解，帮助减轻风险并为环境保护和气候适应政策提供资讯。农民可以在精准农业中利用人工智慧绿色技术来优化水、肥料和农药等资源的使用。 IMARC集团的报告显示，到2032年，日本绿色技术和永续发展市场预计将达到434.2亿美元。

日本人工智慧市场趋势：

人工智慧在零售和电子商务的应用越来越多

日本的零售商和电子商务平台采用人工智慧技术来保持竞争力并简化营运。在实体店中，支援人工智慧的互动式资讯亭和机器人可协助购物者找到产品、提出建议和结帐。人工智慧驱动的视觉搜寻和图像识别工具允许客户使用图像搜寻产品。线上商店使用人工智慧驱动的聊天机器人来帮助客户解决问题并即时解决问题。人工智慧帮助全通路零售商整合来自线上、店内和行动平台的客户资料。它在行动支付中用于验证交易、检测诈欺并确保安全购买。此外，它还用于基于订阅的零售服务，例如餐包配送和时尚盒，为订阅者提供个人化的产品选择。人工智慧驱动的自动化系统可加快拣选、包装和运输流程，确保所有零售通路快速、准确地履行订单。根据IMARC Group的报告，预计2024年至2032年日本零售市场的成长率（CAGR）为1.40%。

自动导引车的扩展

自动导引车 (AGV) 需要先进的人工智慧演算法来导航复杂的环境。透过使用人工智慧，AGV 可以识别障碍物，检测环境的动态变化，并做出即时决策以避免损坏。除此之外，AGV 还可用于仓库内物料搬运、产品组装和运输的自动化。企业可以整合人工智慧来实现更大程度的自动化、降低人力成本并提高生产力。人工智慧技术可以优化多个 AGV 的协调、管理时间表、预测维护需求并提高整体车队效率。他们可以预测 AGV 何时需要维护并避免停机。他们还可以分析 AGV 的电池电量和马达性能资料。 IMARC Group网站公布的资料显示，日本自动导引车市场预计2024-2032年期间将呈现7.79%的成长率（CAGR）。

公有云的采用率不断上升

人工智慧在公有云中用于自动化资源配置、负载平衡和系统最佳化。它确保高效的性能、节省成本并最大限度地减少用户的停机时间。公共云端供应商使企业能够存取先进的人工智慧工具和机器学习 (ML) 模型，而无需单独开发它们。公司可以产生见解、执行预测分析并建立自订机器学习模型。人工智慧最大限度地减少了执行此类任务所需的实体基础设施投资。人工智慧驱动的解决方案可以随时回答问题、解决问题并提供协助。人工智慧驱动的自然语言处理 (NLP) 和语音辨识技术被纳入公有云平台，以开发语音启动应用程式和虚拟助理。除此之外，公有云供应商使用人工智慧驱动的安全功能来即时侦测和缓解威胁。 IMARC Group的报告预测，日本公有云市场在2024-2032年期间将呈现13.05%的成长率（CAGR）。

目录

第一章：前言

第 2 章：范围与方法

  • 研究目的
  • 利害关係人
  • 数据来源
    • 主要来源
    • 二手资料
  • 市场预测
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第 3 章：执行摘要

第 4 章：日本人工智慧市场 - 简介

  • 概述
  • 市场动态
  • 产业动态
  • 竞争情报

第 5 章：日本人工智慧市场格局

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

第 6 章：日本人工智慧市场 - 细分：按类型

  • 狭义/弱人工智慧
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 通用/强人工智慧
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）

第 7 章：日本人工智慧市场 - 分拆：透过发行

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

第 8 章：日本人工智慧市场 - 细分：按技术划分

  • 机器学习
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 自然语言处理
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 上下文感知计算
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 电脑视觉
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 其他的
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）

第 9 章：日本人工智慧市场 - 细分：按系统划分

  • 智慧系统
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 决策支援处理
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 混合系统
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 模糊系统
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）

第 10 章：日本人工智慧市场 - 细分：按最终用途产业

  • 卫生保健
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 製造业
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 汽车
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 农业
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 零售
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 安全
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 人力资源
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 行销
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 金融服务
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 运输与物流
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）
  • 其他的
    • 概述
    • 历史与当前市场趋势（2019-2024）
    • 市场预测（2025-2033）

第 11 章：日本人工智慧市场 - 竞争格局

  • 概述
  • 市场结构
  • 市场参与者定位
  • 最佳制胜策略
  • 竞争仪表板
  • 公司评估象限

第 12 章：关键参与者简介

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

第 13 章：日本人工智慧市场 - 产业分析

  • 驱动因素、限制因素和机会
    • 概述
    • 司机
    • 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 14 章：附录

简介目录
Product Code: SR112024A9349

The Japan artificial intelligence market size was valued at USD 6.6 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 35.2 Billion by 2033, exhibiting a CAGR of 20.4% from 2025-2033. The market is driven by the growing reliance on artificial intelligence (AI)-powered chatbots to register and resolve customer queries in real-time, along with the rising adoption of automated guided vehicles (AGVs) to recognize obstacles on roads and detect dynamic changes.

Information and communication (ICT) systems generate vast amounts of data that fuels artificial intelligence (AI) algorithms. Japan has robust ICT infrastructure with high-speed internet and 5G networks that facilitate real-time data processing and the seamless integration of AI applications. Businesses can collect, process, and analyze data to improve accuracy and functionality in finance and healthcare sectors. AI is used to optimize network performance, adjust parameters, predict traffic patterns, and detect potential issues. ICT supports the Internet of Things (IoT) that enables interconnected devices to communicate and share data. It also provides the hardware, software, and platforms for AI development. AI helps in identifying phishing attempts, malware, and other vulnerabilities to improve the security posture of ICT systems. As per the IMARC Group's report, the Japan information and communication technology (ICT) market is expected to reach USD 530 Billion by 2033.

Because of AI, green technology can enhance its capabilities and achieve greater sustainability goals. AI can analyze large datasets and monitor resource usage like energy, water, and raw materials in real time. It identifies inefficiencies and optimizes consumption to reduce waste and promote more sustainable practices across industries like manufacturing, agriculture, and energy production. AI enables automated sorting and picks materials for reuse to improve waste management and recycling processes. Besides this, AI-driven models can predict environmental risks, climate change, natural disasters, and pollution levels. It can provide valuable insights that help mitigate risks and inform policies aimed at environmental protection and climate adaptation. Farmers can utilize AI-enabled green technologies in precision farming to optimize the use of resources like water, fertilizers, and pesticides. The IMARC Group's report shows that Japan green technology and sustainability market is expected to reach USD 43.42 Billion by 2032.

Japan Artificial Intelligence Market Trends:

Increasing use of AI in retail and e-commerce

Retailers and e-commerce platforms in Japan adopt AI technologies to stay competitive and streamline their operations. In physical stores, AI-enabled interactive kiosks and robots assist shoppers to locate products, make recommendations, and check out. AI-powered visual search and image recognition tools allow customers to search for products using images. Online stores use AI-powered chatbots to assist customers with questions and resolve issues in real-time. AI helps omnichannel retailers to integrate customer data from online, in-store, and mobile platforms. It is used in mobile payments to verify transactions, detect fraud, and ensure secure purchases. In addition, it is utilized in subscription-based retail services like meal kit deliveries and fashion boxes to personalize product selection for subscribers. AI driven automated systems speed up picking, packing, and shipping processes to ensure fast and accurate fulfillment for all retail channels. According to the IMARC Group's report, Japan retail market is projected to exhibit a growth rate (CAGR) of 1.40% during 2024-2032.

Expansion of automated guided vehicles

Automated guided vehicles (AGVs) require advanced AI algorithms to navigate complex environments. By using AI, AGVs can recognize obstacles, detect dynamic changes in the environment, and make real-time decisions to avoid damage. Besides this, AGVs are used to automate material handling, product assembly, and transportation within warehouses. Businesses can integrate AI to achieve greater automation, reduce human labor costs, and increase productivity. AI technologies can optimize the coordination of multiple AGVs, manage schedules, predict maintenance needs, and improve overall fleet efficiency. They can predict when an AGV may require maintenance and avoid downtime. They can also analyze data from battery levels and motor performance of AGVs. The data published on the website of the IMARC Group shows that the Japan automated guided vehicles market is expected to exhibit a growth rate (CAGR) of 7.79% during 2024-2032.

Rising adoption of public cloud

AI is used in public clouds to automate resource provisioning, load balancing, and system optimization. It ensures efficient performance, cost savings, and minimal downtime for users. Public cloud providers enable businesses to access advanced AI tools and machine learning (ML) models without the need to develop them separately. Companies can generate insights, perform predictive analytics, and build custom ML models. AI minimizes the need to invest in physical infrastructure to perform such tasks. AI-powered solutions can answer questions, resolve issues, and provide assistance all the time. AI-powered natural language processing (NLP) and speech recognition technologies are assimilated into public cloud platforms to develop voice-activated applications and virtual assistants. Besides this, public cloud providers use AI-driven security features to detect and mitigate threats in real-time. IMARC Group's report predicted that Japan public cloud market will exhibit a growth rate (CAGR) of 13.05% during 2024-2032.

Japan Artificial Intelligence Industry Segmentation:

Analysis by Type:

Narrow/Weak Artificial Intelligence

General/Strong Artificial Intelligence

Companies in Japan employ narrow AI to automate processes, improve efficiency, and drive innovations across industries. Narrow or weak AI perform specialized tasks related to ML, image recognition, and natural language processing (NLP). These AI systems are designed to assist in robotics, autonomous vehicles, and customer services.

General or strong AI can replicate human-level cognitive abilities. Research and development (R&D) institutions and tech companies utilize general AI to perform a wide range of intellectual tasks. It holds potential for future applications in robotics, healthcare, and autonomous decision-making.

Analysis by Offering:

Hardware

Software

Services

Hardware is essential to apply AI in robotics, autonomous vehicles, and IoT devices. Because of Japan's thriving manufacturing sector and innovation in chip designs, AI hardware can support the rapid deployment of AI technologies across industries.

AI software inculcates ML frameworks, natural language processing (NLP) tools, and data analytics platforms. It is used to make smart decisions and provide operational efficiency in healthcare, automotive, and finance industries.

Japanese companies rely on AI services to customize solutions, optimize workflows, and ensure seamless deployment in services segment. Smaller firms employ AI-as-a-Service (AIaaS) to access advanced AI capabilities and remove the need to invest upfront in hardware or software.

Analysis by Technology:

Machine Learning

Natural Language Processing

Context-Aware Computing

Computer Vision

Others

Machine learning (ML) enables predictive analytics, automation, and adaptive systems across industries. Japanese companies use ML to make data-driven decisions in robotics, autonomous vehicles, and financial technology. ML enhances efficiency, optimizes supply chains, and personalizes customer experiences.

Natural language processing (NLP) is important to streamline human-computer interaction with the use of voice, text, and sentiment analysis. NLP creates multilingual and culturally contextual AI systems to deliver superior user experiences across sectors like e-commerce and tourism.

Context-aware computing uses situational data to deliver tailored AI-driven solutions. In Japan, it finds applications in smart homes, automotive systems, and wearable devices to provide personalized and adaptive services.

Computer vision offers image recognition, facial analysis, and autonomous navigation. It is employed to assist robotics, healthcare diagnostics, and surveillance. It is built with camera and imaging technologies to automate precision-oriented processes.

Analysis by System:

Intelligence Systems

Decision Support Processing

Hybrid Systems

Fuzzy Systems

Intelligence systems are critical to robotics, smart devices, and industrial automation. They enhance operational efficiency, optimize workflows, and improve customer experiences. They find applications in healthcare, automotive, and manufacturing industries.

Decision support processing uses AI systems to aid in complex decision-making using data analysis and predictive algorithms. These systems improve the accuracy and speed of decisions and support businesses to stay competitive in a data-driven economy.

Hybrid systems that combine with AI technologies can deliver comprehensive solutions. In Japan, these systems are applied in applications like autonomous vehicles, smart cities, and robotics. By using hybrid systems, Japanese companies can address complex challenges across industries and promote AI innovations.

Fuzzy systems that use approximate reasoning and imprecise data can deliver actionable insights. They are applied to control systems in appliances and vehicles in manufacturing, energy, and consumer electronic sectors.

Analysis by End Use Industry:

Healthcare

Manufacturing

Automotive

Agriculture

Retail

Security

Human Resources

Marketing

Financial Services

Transportation and Logistics

Others

In Japan, the healthcare industry uses AI to enable precise diagnostics, personalized treatments, and drug discovery. AI addresses challenges posed by Japan's aging population to improve efficiency and patient care with minimal healthcare costs.

Smart manufacturing factories leverage AI to optimize production lines, reduce downtime, and enhance efficiency. Japan utilizes AI to remain competitive, streamline supply chains, and innovate in industries, such as electronic, automotive, and industrial equipment.

Japan's automotive industry uses AI to automate driving and vehicle safety systems. Companies pioneer AI applications in self-driving cars and smart mobility solutions. AI-driven technologies improve road safety, fuel efficiency, and vehicle performance.

With challenges like labor shortages and land constraints, AI-powered drones, sensors, and analytics optimize crop yields and resource management. AI also supports sustainable farming practices to make the agriculture industry more efficient and resilient.

Retail industry uses AI to predict trends, optimize supply chains, and improve operational efficiency. AI-powered chatbots, recommendation systems, and visual search tools enhance customer engagement.

AI enhances Japan's security infrastructure through facial recognition, threat detection, and cybersecurity solutions. AI helps mitigate risks and improve responses to security challenges and builds safer environments in both digital and physical spaces.

AI can automate recruitment, evaluate performance, and engage employees to streamline human resource (HR) processes. AI-powered tools analyze resumes, predict job fit, and identify skill gaps, saving time and resources.

In marketing, AI enables Japanese companies to deliver targeted campaigns and analyze consumer behavior. AI optimizes advertising spend and enhances customer experiences by personalizing interactions.

In the financial services sector, AI-powered chatbots and robo-advisors enhance customer service and investment management. Financial institutions use AI to assess risks, enable regulatory compliance, and operational efficiency.

To optimize Japan's transportation and logistics industry, AI systems enhance efficiency, reduce costs, and minimize environmental impact. AI is important for real-time tracking and predictive maintenance to enable seamless operations in Japan's complex transportation networks.

Competitive Landscape:

Leading companies in Japan are placing bets on AI solutions for robotics, smart devices, healthcare, and cloud computing. Automotive companies are leveraging AI in autonomous vehicle development, smart mobility, and vehicle safety systems. Startups are collaborating with larger enterprises and research and development (R&D) institutions to assimilate AI applications across industries, including fintech, healthcare, and e-commerce. Companies are using AI systems to sponsor initiatives aimed at solving societal challenges like Japan's aging population and labor shortages. Additionally, governing agencies in Japan are playing an essential role by providing funding, research grants, and creating favorable policies to support AI development. Companies are also investing in home automation systems and smart home devices like robot vacuums, advanced wearables, smart kitchen appliances, and automated washing machines. For instance, in November 2024, Science Co., the leading materials company developed Mirai Ningen Sentakuki, a human washing machine that aims to enhance relaxing experience by integrating AI. Mirai is equipped with built-in sensors to monitor vital health signs and adjust the water temperature accordingly.

The report provides a comprehensive analysis of the competitive landscape in the Japan artificial intelligence market with detailed profiles of all major companies.

Latest News and Developments:

In November 2024: Prime Minister of Japan, Ishiba Shigeru announced the investment of 65 billion dollars in microchips and AI. This funding aims to enhance the domestic development of technological infrastructure, including artificial intelligence and semiconductors. The government's commitment to backing high-tech industries can drive additional investment from the private sector.

Key Questions Answered in This Report

  • 1. What is artificial intelligence?
  • 2. How big is the Japan artificial intelligence market?
  • 3. What is the expected growth rate of the Japan artificial intelligence market during 2025-2033?
  • 4. What are the key factors driving the Japan artificial intelligence 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 Artificial Intelligence Market - Introduction

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

5 Japan Artificial Intelligence Market Landscape

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

6 Japan Artificial Intelligence Market - Breakup by Type

  • 6.1 Narrow/Weak Artificial Intelligence
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2019-2024)
    • 6.1.3 Market Forecast (2025-2033)
  • 6.2 General/Strong Artificial Intelligence
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2019-2024)
    • 6.2.3 Market Forecast (2025-2033)

7 Japan Artificial Intelligence Market - Breakup by Offering

  • 7.1 Hardware
    • 7.1.1 Overview
    • 7.1.2 Historical and Current Market Trends (2019-2024)
    • 7.1.3 Market Forecast (2025-2033)
  • 7.2 Software
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2019-2024)
    • 7.2.3 Market Forecast (2025-2033)
  • 7.3 Services
    • 7.3.1 Overview
    • 7.3.2 Historical and Current Market Trends (2019-2024)
    • 7.3.3 Market Forecast (2025-2033)

8 Japan Artificial Intelligence Market - Breakup by Technology

  • 8.1 Machine Learning
    • 8.1.1 Overview
    • 8.1.2 Historical and Current Market Trends (2019-2024)
    • 8.1.3 Market Forecast (2025-2033)
  • 8.2 Natural Language Processing
    • 8.2.1 Overview
    • 8.2.2 Historical and Current Market Trends (2019-2024)
    • 8.2.3 Market Forecast (2025-2033)
  • 8.3 Context-Aware Computing
    • 8.3.1 Overview
    • 8.3.2 Historical and Current Market Trends (2019-2024)
    • 8.3.3 Market Forecast (2025-2033)
  • 8.4 Computer Vision
    • 8.4.1 Overview
    • 8.4.2 Historical and Current Market Trends (2019-2024)
    • 8.4.3 Market Forecast (2025-2033)
  • 8.5 Others
    • 8.5.1 Overview
    • 8.5.2 Historical and Current Market Trends (2019-2024)
    • 8.5.3 Market Forecast (2025-2033)

9 Japan Artificial Intelligence Market - Breakup by System

  • 9.1 Intelligence Systems
    • 9.1.1 Overview
    • 9.1.2 Historical and Current Market Trends (2019-2024)
    • 9.1.3 Market Forecast (2025-2033)
  • 9.2 Decision Support Processing
    • 9.2.1 Overview
    • 9.2.2 Historical and Current Market Trends (2019-2024)
    • 9.2.3 Market Forecast (2025-2033)
  • 9.3 Hybrid Systems
    • 9.3.1 Overview
    • 9.3.2 Historical and Current Market Trends (2019-2024)
    • 9.3.3 Market Forecast (2025-2033)
  • 9.4 Fuzzy Systems
    • 9.4.1 Overview
    • 9.4.2 Historical and Current Market Trends (2019-2024)
    • 9.4.3 Market Forecast (2025-2033)

10 Japan Artificial Intelligence Market - Breakup by End Use Industry

  • 10.1 Healthcare
    • 10.1.1 Overview
    • 10.1.2 Historical and Current Market Trends (2019-2024)
    • 10.1.3 Market Forecast (2025-2033)
  • 10.2 Manufacturing
    • 10.2.1 Overview
    • 10.2.2 Historical and Current Market Trends (2019-2024)
    • 10.2.3 Market Forecast (2025-2033)
  • 10.3 Automotive
    • 10.3.1 Overview
    • 10.3.2 Historical and Current Market Trends (2019-2024)
    • 10.3.3 Market Forecast (2025-2033)
  • 10.4 Agriculture
    • 10.4.1 Overview
    • 10.4.2 Historical and Current Market Trends (2019-2024)
    • 10.4.3 Market Forecast (2025-2033)
  • 10.5 Retail
    • 10.5.1 Overview
    • 10.5.2 Historical and Current Market Trends (2019-2024)
    • 10.5.3 Market Forecast (2025-2033)
  • 10.6 Security
    • 10.6.1 Overview
    • 10.6.2 Historical and Current Market Trends (2019-2024)
    • 10.6.3 Market Forecast (2025-2033)
  • 10.7 Human Resources
    • 10.7.1 Overview
    • 10.7.2 Historical and Current Market Trends (2019-2024)
    • 10.7.3 Market Forecast (2025-2033)
  • 10.8 Marketing
    • 10.8.1 Overview
    • 10.8.2 Historical and Current Market Trends (2019-2024)
    • 10.8.3 Market Forecast (2025-2033)
  • 10.9 Financial Services
    • 10.9.1 Overview
    • 10.9.2 Historical and Current Market Trends (2019-2024)
    • 10.9.3 Market Forecast (2025-2033)
  • 10.10 Transportation and Logistics
    • 10.10.1 Overview
    • 10.10.2 Historical and Current Market Trends (2019-2024)
    • 10.10.3 Market Forecast (2025-2033)
  • 10.11 Others
    • 10.11.1 Overview
    • 10.11.2 Historical and Current Market Trends (2019-2024)
    • 10.11.3 Market Forecast (2025-2033)

11 Japan Artificial Intelligence Market - Competitive Landscape

  • 11.1 Overview
  • 11.2 Market Structure
  • 11.3 Market Player Positioning
  • 11.4 Top Winning Strategies
  • 11.5 Competitive Dashboard
  • 11.6 Company Evaluation Quadrant

12 Profiles of Key Players

  • 12.1 Company A
    • 12.1.1 Business Overview
    • 12.1.2 Product Portfolio
    • 12.1.3 Business Strategies
    • 12.1.4 SWOT Analysis
    • 12.1.5 Major News and Events
  • 12.2 Company B
    • 12.2.1 Business Overview
    • 12.2.2 Product Portfolio
    • 12.2.3 Business Strategies
    • 12.2.4 SWOT Analysis
    • 12.2.5 Major News and Events
  • 12.3 Company C
    • 12.3.1 Business Overview
    • 12.3.2 Product Portfolio
    • 12.3.3 Business Strategies
    • 12.3.4 SWOT Analysis
    • 12.3.5 Major News and Events
  • 12.4 Company D
    • 12.4.1 Business Overview
    • 12.4.2 Product Portfolio
    • 12.4.3 Business Strategies
    • 12.4.4 SWOT Analysis
    • 12.4.5 Major News and Events
  • 12.5 Company E
    • 12.5.1 Business Overview
    • 12.5.2 Product Portfolio
    • 12.5.3 Business Strategies
    • 12.5.4 SWOT Analysis
    • 12.5.5 Major News and Events

13 Japan Artificial Intelligence Market - Industry Analysis

  • 13.1 Drivers, Restraints, and Opportunities
    • 13.1.1 Overview
    • 13.1.2 Drivers
    • 13.1.3 Restraints
    • 13.1.4 Opportunities
  • 13.2 Porters Five Forces Analysis
    • 13.2.1 Overview
    • 13.2.2 Bargaining Power of Buyers
    • 13.2.3 Bargaining Power of Suppliers
    • 13.2.4 Degree of Competition
    • 13.2.5 Threat of New Entrants
    • 13.2.6 Threat of Substitutes
  • 13.3 Value Chain Analysis

14 Appendix