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市场调查报告书
商品编码
1874427

人机协作：全球市场占有率及排名、总收入及需求预测（2025-2031 年）

Human-machine Collaboration - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031
出版日期: | 出版商: QYResearch | 英文 109 Pages | 商品交期: 2-3个工作天内

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全球人机协作市场规模预计在 2024 年达到 180.42 亿美元，预计到 2031 年将达到 598.86 亿美元，在 2025 年至 2031 年的预测期内，复合年增长率将达到 19.3%。

人机协作（HMC），也称为人机互动（HCI），是研究人与电脑系统之间互动的领域。它专注于如何设计、评估和实现电脑技术，使其能够有效率、便利、直观地与使用者互动。人机互动不仅限于传统的电脑介面，还涵盖了人与智慧型装置之间的各种互动方式，例如智慧型手机、虚拟实境（VR）、扩增实境（AR）、语音助理、眼动追踪和脑机介面。人机互动的核心目标是提升使用者体验，并确保科技与人类的需求和行为相符。

下一代人机互动的定义涵盖了多种创新技术和互动方法，旨在改善人机互动体验。现代人机互动技术还包括以下关键领域：

扩增实境(AR) 与虚拟实境 (VR)：AR 和 VR 技术打破了电脑萤幕与使用者之间的传统界限，创造了身临其境型虚拟环境。在 VR 中，使用者透过头戴式显示器与虚拟世界互动；而在 AR 中，虚拟元素迭加在现实世界之上，使用者可以透过智慧眼镜或行动电话等装置获得互动体验。语音辨识和自然语言处理 (NLP)：语音辨识技术使电脑能够理解和解析人类语言，从而允许使用者透过语音命令与电脑互动。自然语言处理进一步提升了电脑理解和产生自然语言的能力，使机器能够更像人类一样进行交流，并为语音助理和聊天机器人等应用提供支援。

眼动追踪：眼动追踪技术能够追踪使用者的眼球运动，实现无需手动操作的控制方式。眼动追踪使系统能够捕捉使用者的注意力点和注视点，从而提升操作便利性，尤其是在无障碍设计和虚拟环境中。

其他新兴技术包括脑机介面（BCI），它可以直接读取脑电波来控制计算机，进一步拓展了人机物理互动的边界。此外，触觉回馈、手势姿态辨识和情绪运算等技术也不断丰富人机互动的方式。

下一代人机互动技术不仅将提升使用者体验的自然性和便利性，也将使人与科技的互动更加智慧、流畅和个人化。随着人工智慧和机器学习的进步，这些技术将在未来的应用中发挥更大的作用。

人机协作市场主要分为软体和硬体两大板块。截至2024年，软体市占率最大，达78.31%。这一主导地位反映了人工智慧（AI）、语音辨识、自然语言处理（NLP）和虚拟助理等技术在从消费生活到商业营运等各个领域的广泛应用。智慧语音助理、自动化客服和智慧翻译工具等应用程式已渗透到各个产业，显着提升了使用者体验和业务效率。

随着5G技术的持续发展和边缘运算的广泛应用，软体领域的市场份额预计将进一步扩大，尤其是在机器学习和深度学习演算法影响力日益增强的情况下。同时，儘管硬体产品目前市场占有率相对较小，但它们仍然是人机互动（HCI）生态系统的重要组成部分，尤其是在扩增实境（AR）、虚拟实境（VR）和眼动追踪技术等领域。在身临其境型体验需求不断增长的推动下，AR/ VR头戴装置、眼动追踪设备及相关互动硬体正逐渐成为主流，并在游戏、医疗、教育和房地产等行业迅速普及，从而带动了硬体市场的发展。

从应用角度来看，人机互动（HCI）市场目前主要集中在扩增实境/虚拟实境（AR/VR）、语音辨识和自然语言处理（NLP）以及眼动追踪技术等关键领域。到2024年，语音辨识和自然语言处理将占据最大的市场份额（75.95%）。这一成长主要得益于智慧语音助理和人工智慧（AI）客户服务平台的广泛应用。随着自然语言处理技术的不断改进和机器学习演算法的持续发展，语音和语音互动有望在未来的人机互动中发挥核心作用，尤其是在智慧家庭系统、汽车应用、金融服务等领域。

同时，VR设备成本的下降和技术的进步推动了其在虚拟培训、远端医疗协作等领域的广泛应用。 AR技术在商业和消费环境中也变得越来越普遍，催生了虚拟购物、购买前体验和互动广告等新的应用场景。

人机互动（HCI）产业的未来发展预计将遵循几个关键趋势。首先，人工智慧（AI）与巨量资料融合将推动机器学习、语音辨识、自然语言处理（NLP）及相关领域的创新，创造新的成长机会。尤其值得一提的是，AI与自然语言理解的结合将实现使用者与装置之间更聪明、直觉且无缝的互动。

其次，硬体技术将持续发展。 VR/AR设备正变得越来越轻巧、价格越来越亲民，从而提供更具沉浸感的体验。头戴式显示器（HMD）、眼动追踪系统和触觉回馈设备等硬体创新将在游戏、医疗保健和教育等领域发挥重要作用，进一步拓展市场。此外，5G和物联网（IoT）的进步将增加对即时、低延迟资料传输的需求，推动硬体製造商追求更高的效能和创新。

最后，眼动追踪和脑机介面（BCI）等新兴技术预计将在未来几年内快速发展。这些创新将显着拓展人机互动的范围，并开启智慧无缝人机连接的新时代。

本报告旨在对全球人机协作市场进行全面分析，重点关注总收入、市场份额和主要企业的排名，并按地区/国家、类型和应用程式对人机协作进行分析。

本报告以以收益为准，对人机协作市场规模、估算和预测进行了呈现，以 2024 年为基准年，并包含了 2020 年至 2031 年的历史数据和预测数据。报告运用定量和定性分析，帮助读者制定业务和成长策略，评估市场竞争格局，分析公司在当前市场中的地位，并就人机协作做出明智的商业决策。

市场区隔

公司

  • Microsoft
  • Oculus（Meta）
  • Amazon AWS
  • Iflytek
  • Google
  • IBM
  • NICE
  • Huawei
  • Alibaba
  • Sony
  • Baidu
  • Pico Interactive
  • HTC
  • Tobii
  • Apple

按类型分類的细分市场

  • 硬体
  • 软体

应用领域

  • AR/VR
  • 语音辨识与自然语言处理
  • 眼控
  • 其他的

按地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太地区
    • 中国
    • 日本
    • 韩国
    • 东南亚
    • 印度
    • 澳洲
    • 亚太其他地区
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 荷兰
    • 北欧国家
    • 其他欧洲
  • 拉丁美洲
    • 墨西哥
    • 巴西
    • 其他拉丁美洲
  • 中东和非洲
    • 土耳其
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 其他中东和非洲地区

The global market for Human-machine Collaboration was estimated to be worth US$ 18042 million in 2024 and is forecast to a readjusted size of US$ 59886 million by 2031 with a CAGR of 19.3% during the forecast period 2025-2031.

Human-machine Collaboration, also called Human-Computer Interaction (HCI), is the study of the interaction between humans and computer systems. It focuses on how to design, evaluate and implement computer technology so that it can interact with users effectively, conveniently and intuitively. HCI is not limited to traditional computer interfaces, but also includes various ways of interaction between humans and smart devices, such as smartphones, virtual reality (VR), augmented reality (AR), voice assistants, eye control and brain-computer interfaces. The core goal of human-computer interaction is to improve the user experience and ensure that the technology is well matched with human needs and behaviors.

The new generation definition of human-computer interaction covers a variety of innovative technologies and interaction methods aimed at improving the interactive experience between people and computers. Modern human-computer interaction technology also includes the following key areas:

Augmented Reality (AR) and Virtual Reality (VR): AR and VR technologies break the boundaries between traditional computer screens and users by creating immersive virtual environments. In VR, users can interact with the virtual world by wearing head-mounted display devices, while AR superimposes virtual elements on the real world to achieve interactive experience through devices (such as smart glasses, mobile phones, etc.). Speech recognition and natural language processing (NLP): Speech recognition technology enables computers to understand and parse human language, and users can interact with computers through voice commands. Natural language processing further enhances the ability of computers to understand and generate natural language, allowing machines to communicate like humans, supporting applications such as voice assistants and chatbots.

Eye control: Eye control technology achieves a control method without manual operation by tracking the movement of the user's eyes. Through eye tracking, the system can capture the user's attention and line of sight, which is used to enhance the convenience of interaction, especially in barrier-free design and virtual environments.

Other emerging technologies: This also includes brain-computer interfaces (BCI), which directly control computers by reading the user's brain signals, further breaking the physical interaction limitations between people and computers. In addition, technologies such as tactile feedback, gesture recognition, and emotional computing are also gradually enriching the way of human-computer interaction.

The new generation of human-computer interaction technology not only improves the naturalness and convenience of user experience, but also makes the interaction between people and technology more intelligent, seamless, and personalized. With the advancement of artificial intelligence and machine learning, these technologies will play a greater role in future applications.

The Human-machine Collaboration market is primarily divided into two segments: software and hardware. As of 2024, software accounts for the largest share of the market, representing 78.31%. This dominance reflects the widespread adoption of technologies such as artificial intelligence (AI), speech recognition, natural language processing (NLP), and virtual assistants across both consumer lifestyles and business operations. Applications like intelligent voice assistants, automated customer service, and smart translation tools have increasingly penetrated various sectors, significantly enhancing user experiences and operational efficiency.

The continued development of 5G technology and the growing adoption of edge computing are expected to further expand the software segment's market share, particularly with the rising influence of machine learning and deep learning algorithms. While hardware products hold a smaller market share by comparison, they remain a critical component of the HCI ecosystem-especially in areas such as augmented reality (AR), virtual reality (VR), and eye-tracking technologies. As demand for immersive experiences continues to grow, AR/VR headsets, eye-control devices, and related interactive hardware are entering the mainstream, with strong adoption in gaming, healthcare, education, real estate, and other industries, thereby driving the hardware market forward.

From an application perspective, the HCI market is currently focused on key areas such as AR/VR, speech recognition and NLP, and eye-tracking technology. In 2024, speech recognition and natural language processing commanded the largest market share, reaching 75.95%. This growth is largely driven by the widespread use of intelligent voice assistants and AI-powered customer service platforms. As NLP technologies are refined and machine learning algorithms continue to advance, speech and voice interaction are poised to become central to the future of HCI-particularly in smart home systems, automotive applications, financial services, and more.

At the same time, falling costs and technological advances in VR devices are broadening their use in virtual training, telemedicine, remote collaboration, and more. AR technology is also gaining traction in both commercial and consumer settings, enabling new use cases such as virtual shopping, try-before-you-buy experiences, and interactive advertising.

Looking ahead, the HCI industry is expected to follow several key development trends. First, the integration of AI and big data will drive innovation across machine learning, speech recognition, NLP, and related fields-unlocking new growth opportunities. In particular, combining AI with natural language understanding will enable more intelligent, intuitive, and seamless interactions between users and devices.

Second, hardware technologies will continue to evolve. VR/AR devices are becoming lighter, more affordable, and increasingly immersive. Hardware innovations such as head-mounted displays (HMDs), eye-tracking systems, and haptic feedback devices will play pivotal roles across sectors like gaming, healthcare, and education, helping to expand the market further. Additionally, with the advancement of 5G and the Internet of Things (IoT), the demand for real-time, low-latency data transmission will push hardware manufacturers to pursue higher performance and greater innovation.

Finally, emerging technologies such as eye-tracking and brain-computer interfaces (BCIs) are expected to undergo rapid development in the coming years. These breakthroughs will significantly broaden the scope of human-computer interaction, ushering in a new era of intelligent, seamless connectivity between humans and machines.

This report aims to provide a comprehensive presentation of the global market for Human-machine Collaboration, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Human-machine Collaboration by region & country, by Type, and by Application.

The Human-machine Collaboration market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Human-machine Collaboration.

Market Segmentation

By Company

  • Microsoft
  • Oculus (Meta)
  • Amazon AWS
  • Iflytek
  • Google
  • IBM
  • NICE
  • Huawei
  • Alibaba
  • Sony
  • Baidu
  • Pico Interactive
  • HTC
  • Tobii
  • Apple

Segment by Type

  • Hardware
  • Software

Segment by Application

  • AR/VR
  • Speech Recognition and Natural Language Processing
  • Eye Control
  • Others

By Region

  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • Southeast Asia
    • India
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Netherlands
    • Nordic Countries
    • Rest of Europe
  • Latin America
    • Mexico
    • Brazil
    • Rest of Latin America
  • Middle East & Africa
    • Turkey
    • Saudi Arabia
    • UAE
    • Rest of MEA

Chapter Outline

Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 2: Detailed analysis of Human-machine Collaboration company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.

Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 5: Revenue of Human-machine Collaboration in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.

Chapter 6: Revenue of Human-machine Collaboration in country level. It provides sigmate data by Type, and by Application for each country/region.

Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.

Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.

Chapter 9: Conclusion.

Table of Contents

1 Market Overview

  • 1.1 Human-machine Collaboration Product Introduction
  • 1.2 Global Human-machine Collaboration Market Size Forecast (2020-2031)
  • 1.3 Human-machine Collaboration Market Trends & Drivers
    • 1.3.1 Human-machine Collaboration Industry Trends
    • 1.3.2 Human-machine Collaboration Market Drivers & Opportunity
    • 1.3.3 Human-machine Collaboration Market Challenges
    • 1.3.4 Human-machine Collaboration Market Restraints
  • 1.4 Assumptions and Limitations
  • 1.5 Study Objectives
  • 1.6 Years Considered

2 Competitive Analysis by Company

  • 2.1 Global Human-machine Collaboration Players Revenue Ranking (2024)
  • 2.2 Global Human-machine Collaboration Revenue by Company (2020-2025)
  • 2.3 Key Companies Human-machine Collaboration Manufacturing Base Distribution and Headquarters
  • 2.4 Key Companies Human-machine Collaboration Product Offered
  • 2.5 Key Companies Time to Begin Mass Production of Human-machine Collaboration
  • 2.6 Human-machine Collaboration Market Competitive Analysis
    • 2.6.1 Human-machine Collaboration Market Concentration Rate (2020-2025)
    • 2.6.2 Global 5 and 10 Largest Companies by Human-machine Collaboration Revenue in 2024
    • 2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Human-machine Collaboration as of 2024)
  • 2.7 Mergers & Acquisitions, Expansion

3 Segmentation by Type

  • 3.1 Introduction by Type
    • 3.1.1 Hardware
    • 3.1.2 Software
  • 3.2 Global Human-machine Collaboration Sales Value by Type
    • 3.2.1 Global Human-machine Collaboration Sales Value by Type (2020 VS 2024 VS 2031)
    • 3.2.2 Global Human-machine Collaboration Sales Value, by Type (2020-2031)
    • 3.2.3 Global Human-machine Collaboration Sales Value, by Type (%) (2020-2031)

4 Segmentation by Application

  • 4.1 Introduction by Application
    • 4.1.1 AR/VR
    • 4.1.2 Speech Recognition and Natural Language Processing
    • 4.1.3 Eye Control
    • 4.1.4 Others
  • 4.2 Global Human-machine Collaboration Sales Value by Application
    • 4.2.1 Global Human-machine Collaboration Sales Value by Application (2020 VS 2024 VS 2031)
    • 4.2.2 Global Human-machine Collaboration Sales Value, by Application (2020-2031)
    • 4.2.3 Global Human-machine Collaboration Sales Value, by Application (%) (2020-2031)

5 Segmentation by Region

  • 5.1 Global Human-machine Collaboration Sales Value by Region
    • 5.1.1 Global Human-machine Collaboration Sales Value by Region: 2020 VS 2024 VS 2031
    • 5.1.2 Global Human-machine Collaboration Sales Value by Region (2020-2025)
    • 5.1.3 Global Human-machine Collaboration Sales Value by Region (2026-2031)
    • 5.1.4 Global Human-machine Collaboration Sales Value by Region (%), (2020-2031)
  • 5.2 North America
    • 5.2.1 North America Human-machine Collaboration Sales Value, 2020-2031
    • 5.2.2 North America Human-machine Collaboration Sales Value by Country (%), 2024 VS 2031
  • 5.3 Europe
    • 5.3.1 Europe Human-machine Collaboration Sales Value, 2020-2031
    • 5.3.2 Europe Human-machine Collaboration Sales Value by Country (%), 2024 VS 2031
  • 5.4 Asia Pacific
    • 5.4.1 Asia Pacific Human-machine Collaboration Sales Value, 2020-2031
    • 5.4.2 Asia Pacific Human-machine Collaboration Sales Value by Region (%), 2024 VS 2031
  • 5.5 South America
    • 5.5.1 South America Human-machine Collaboration Sales Value, 2020-2031
    • 5.5.2 South America Human-machine Collaboration Sales Value by Country (%), 2024 VS 2031
  • 5.6 Middle East & Africa
    • 5.6.1 Middle East & Africa Human-machine Collaboration Sales Value, 2020-2031
    • 5.6.2 Middle East & Africa Human-machine Collaboration Sales Value by Country (%), 2024 VS 2031

6 Segmentation by Key Countries/Regions

  • 6.1 Key Countries/Regions Human-machine Collaboration Sales Value Growth Trends, 2020 VS 2024 VS 2031
  • 6.2 Key Countries/Regions Human-machine Collaboration Sales Value, 2020-2031
  • 6.3 United States
    • 6.3.1 United States Human-machine Collaboration Sales Value, 2020-2031
    • 6.3.2 United States Human-machine Collaboration Sales Value by Type (%), 2024 VS 2031
    • 6.3.3 United States Human-machine Collaboration Sales Value by Application, 2024 VS 2031
  • 6.4 Europe
    • 6.4.1 Europe Human-machine Collaboration Sales Value, 2020-2031
    • 6.4.2 Europe Human-machine Collaboration Sales Value by Type (%), 2024 VS 2031
    • 6.4.3 Europe Human-machine Collaboration Sales Value by Application, 2024 VS 2031
  • 6.5 China
    • 6.5.1 China Human-machine Collaboration Sales Value, 2020-2031
    • 6.5.2 China Human-machine Collaboration Sales Value by Type (%), 2024 VS 2031
    • 6.5.3 China Human-machine Collaboration Sales Value by Application, 2024 VS 2031
  • 6.6 Japan
    • 6.6.1 Japan Human-machine Collaboration Sales Value, 2020-2031
    • 6.6.2 Japan Human-machine Collaboration Sales Value by Type (%), 2024 VS 2031
    • 6.6.3 Japan Human-machine Collaboration Sales Value by Application, 2024 VS 2031
  • 6.7 South Korea
    • 6.7.1 South Korea Human-machine Collaboration Sales Value, 2020-2031
    • 6.7.2 South Korea Human-machine Collaboration Sales Value by Type (%), 2024 VS 2031
    • 6.7.3 South Korea Human-machine Collaboration Sales Value by Application, 2024 VS 2031
  • 6.8 Southeast Asia
    • 6.8.1 Southeast Asia Human-machine Collaboration Sales Value, 2020-2031
    • 6.8.2 Southeast Asia Human-machine Collaboration Sales Value by Type (%), 2024 VS 2031
    • 6.8.3 Southeast Asia Human-machine Collaboration Sales Value by Application, 2024 VS 2031
  • 6.9 India
    • 6.9.1 India Human-machine Collaboration Sales Value, 2020-2031
    • 6.9.2 India Human-machine Collaboration Sales Value by Type (%), 2024 VS 2031
    • 6.9.3 India Human-machine Collaboration Sales Value by Application, 2024 VS 2031

7 Company Profiles

  • 7.1 Microsoft
    • 7.1.1 Microsoft Profile
    • 7.1.2 Microsoft Main Business
    • 7.1.3 Microsoft Human-machine Collaboration Products, Services and Solutions
    • 7.1.4 Microsoft Human-machine Collaboration Revenue (US$ Million) & (2020-2025)
    • 7.1.5 Microsoft Recent Developments
  • 7.2 Oculus (Meta)
    • 7.2.1 Oculus (Meta) Profile
    • 7.2.2 Oculus (Meta) Main Business
    • 7.2.3 Oculus (Meta) Human-machine Collaboration Products, Services and Solutions
    • 7.2.4 Oculus (Meta) Human-machine Collaboration Revenue (US$ Million) & (2020-2025)
    • 7.2.5 Oculus (Meta) Recent Developments
  • 7.3 Amazon AWS
    • 7.3.1 Amazon AWS Profile
    • 7.3.2 Amazon AWS Main Business
    • 7.3.3 Amazon AWS Human-machine Collaboration Products, Services and Solutions
    • 7.3.4 Amazon AWS Human-machine Collaboration Revenue (US$ Million) & (2020-2025)
    • 7.3.5 Amazon AWS Recent Developments
  • 7.4 Iflytek
    • 7.4.1 Iflytek Profile
    • 7.4.2 Iflytek Main Business
    • 7.4.3 Iflytek Human-machine Collaboration Products, Services and Solutions
    • 7.4.4 Iflytek Human-machine Collaboration Revenue (US$ Million) & (2020-2025)
    • 7.4.5 Iflytek Recent Developments
  • 7.5 Google
    • 7.5.1 Google Profile
    • 7.5.2 Google Main Business
    • 7.5.3 Google Human-machine Collaboration Products, Services and Solutions
    • 7.5.4 Google Human-machine Collaboration Revenue (US$ Million) & (2020-2025)
    • 7.5.5 Google Recent Developments
  • 7.6 IBM
    • 7.6.1 IBM Profile
    • 7.6.2 IBM Main Business
    • 7.6.3 IBM Human-machine Collaboration Products, Services and Solutions
    • 7.6.4 IBM Human-machine Collaboration Revenue (US$ Million) & (2020-2025)
    • 7.6.5 IBM Recent Developments
  • 7.7 NICE
    • 7.7.1 NICE Profile
    • 7.7.2 NICE Main Business
    • 7.7.3 NICE Human-machine Collaboration Products, Services and Solutions
    • 7.7.4 NICE Human-machine Collaboration Revenue (US$ Million) & (2020-2025)
    • 7.7.5 NICE Recent Developments
  • 7.8 Huawei
    • 7.8.1 Huawei Profile
    • 7.8.2 Huawei Main Business
    • 7.8.3 Huawei Human-machine Collaboration Products, Services and Solutions
    • 7.8.4 Huawei Human-machine Collaboration Revenue (US$ Million) & (2020-2025)
    • 7.8.5 Huawei Recent Developments
  • 7.9 Alibaba
    • 7.9.1 Alibaba Profile
    • 7.9.2 Alibaba Main Business
    • 7.9.3 Alibaba Human-machine Collaboration Products, Services and Solutions
    • 7.9.4 Alibaba Human-machine Collaboration Revenue (US$ Million) & (2020-2025)
    • 7.9.5 Alibaba Recent Developments
  • 7.10 Sony
    • 7.10.1 Sony Profile
    • 7.10.2 Sony Main Business
    • 7.10.3 Sony Human-machine Collaboration Products, Services and Solutions
    • 7.10.4 Sony Human-machine Collaboration Revenue (US$ Million) & (2020-2025)
    • 7.10.5 Sony Recent Developments
  • 7.11 Baidu
    • 7.11.1 Baidu Profile
    • 7.11.2 Baidu Main Business
    • 7.11.3 Baidu Human-machine Collaboration Products, Services and Solutions
    • 7.11.4 Baidu Human-machine Collaboration Revenue (US$ Million) & (2020-2025)
    • 7.11.5 Baidu Recent Developments
  • 7.12 Pico Interactive
    • 7.12.1 Pico Interactive Profile
    • 7.12.2 Pico Interactive Main Business
    • 7.12.3 Pico Interactive Human-machine Collaboration Products, Services and Solutions
    • 7.12.4 Pico Interactive Human-machine Collaboration Revenue (US$ Million) & (2020-2025)
    • 7.12.5 Pico Interactive Recent Developments
  • 7.13 HTC
    • 7.13.1 HTC Profile
    • 7.13.2 HTC Main Business
    • 7.13.3 HTC Human-machine Collaboration Products, Services and Solutions
    • 7.13.4 HTC Human-machine Collaboration Revenue (US$ Million) & (2020-2025)
    • 7.13.5 HTC Recent Developments
  • 7.14 Tobii
    • 7.14.1 Tobii Profile
    • 7.14.2 Tobii Main Business
    • 7.14.3 Tobii Human-machine Collaboration Products, Services and Solutions
    • 7.14.4 Tobii Human-machine Collaboration Revenue (US$ Million) & (2020-2025)
    • 7.14.5 Tobii Recent Developments
  • 7.15 Apple
    • 7.15.1 Apple Profile
    • 7.15.2 Apple Main Business
    • 7.15.3 Apple Human-machine Collaboration Products, Services and Solutions
    • 7.15.4 Apple Human-machine Collaboration Revenue (US$ Million) & (2020-2025)
    • 7.15.5 Apple Recent Developments

8 Industry Chain Analysis

  • 8.1 Human-machine Collaboration Industrial Chain
  • 8.2 Human-machine Collaboration Upstream Analysis
    • 8.2.1 Key Raw Materials
    • 8.2.2 Raw Materials Key Suppliers
    • 8.2.3 Manufacturing Cost Structure
  • 8.3 Midstream Analysis
  • 8.4 Downstream Analysis (Customers Analysis)
  • 8.5 Sales Model and Sales Channels
    • 8.5.1 Human-machine Collaboration Sales Model
    • 8.5.2 Sales Channel
    • 8.5.3 Human-machine Collaboration Distributors

9 Research Findings and Conclusion

10 Appendix

  • 10.1 Research Methodology
    • 10.1.1 Methodology/Research Approach
      • 10.1.1.1 Research Programs/Design
      • 10.1.1.2 Market Size Estimation
      • 10.1.1.3 Market Breakdown and Data Triangulation
    • 10.1.2 Data Source
      • 10.1.2.1 Secondary Sources
      • 10.1.2.2 Primary Sources
  • 10.2 Author Details
  • 10.3 Disclaimer

List of Tables

  • Table 1. Human-machine Collaboration Market Trends
  • Table 2. Human-machine Collaboration Market Drivers & Opportunity
  • Table 3. Human-machine Collaboration Market Challenges
  • Table 4. Human-machine Collaboration Market Restraints
  • Table 5. Global Human-machine Collaboration Revenue by Company (2020-2025) & (US$ Million)
  • Table 6. Global Human-machine Collaboration Revenue Market Share by Company (2020-2025)
  • Table 7. Key Companies Human-machine Collaboration Manufacturing Base Distribution and Headquarters
  • Table 8. Key Companies Human-machine Collaboration Product Type
  • Table 9. Key Companies Time to Begin Mass Production of Human-machine Collaboration
  • Table 10. Global Human-machine Collaboration Companies Market Concentration Ratio (CR5 and HHI)
  • Table 11. Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Human-machine Collaboration as of 2024)
  • Table 12. Mergers & Acquisitions, Expansion Plans
  • Table 13. Global Human-machine Collaboration Sales Value by Type: 2020 VS 2024 VS 2031 (US$ Million)
  • Table 14. Global Human-machine Collaboration Sales Value by Type (2020-2025) & (US$ Million)
  • Table 15. Global Human-machine Collaboration Sales Value by Type (2026-2031) & (US$ Million)
  • Table 16. Global Human-machine Collaboration Sales Market Share in Value by Type (2020-2025)
  • Table 17. Global Human-machine Collaboration Sales Market Share in Value by Type (2026-2031)
  • Table 18. Global Human-machine Collaboration Sales Value by Application: 2020 VS 2024 VS 2031 (US$ Million)
  • Table 19. Global Human-machine Collaboration Sales Value by Application (2020-2025) & (US$ Million)
  • Table 20. Global Human-machine Collaboration Sales Value by Application (2026-2031) & (US$ Million)
  • Table 21. Global Human-machine Collaboration Sales Market Share in Value by Application (2020-2025)
  • Table 22. Global Human-machine Collaboration Sales Market Share in Value by Application (2026-2031)
  • Table 23. Global Human-machine Collaboration Sales Value by Region, (2020 VS 2024 VS 2031) & (US$ Million)
  • Table 24. Global Human-machine Collaboration Sales Value by Region (2020-2025) & (US$ Million)
  • Table 25. Global Human-machine Collaboration Sales Value by Region (2026-2031) & (US$ Million)
  • Table 26. Global Human-machine Collaboration Sales Value by Region (2020-2025) & (%)
  • Table 27. Global Human-machine Collaboration Sales Value by Region (2026-2031) & (%)
  • Table 28. Key Countries/Regions Human-machine Collaboration Sales Value Growth Trends, (US$ Million): 2020 VS 2024 VS 2031
  • Table 29. Key Countries/Regions Human-machine Collaboration Sales Value, (2020-2025) & (US$ Million)
  • Table 30. Key Countries/Regions Human-machine Collaboration Sales Value, (2026-2031) & (US$ Million)
  • Table 31. Microsoft Basic Information List
  • Table 32. Microsoft Description and Business Overview
  • Table 33. Microsoft Human-machine Collaboration Products, Services and Solutions
  • Table 34. Revenue (US$ Million) in Human-machine Collaboration Business of Microsoft (2020-2025)
  • Table 35. Microsoft Recent Developments
  • Table 36. Oculus (Meta) Basic Information List
  • Table 37. Oculus (Meta) Description and Business Overview
  • Table 38. Oculus (Meta) Human-machine Collaboration Products, Services and Solutions
  • Table 39. Revenue (US$ Million) in Human-machine Collaboration Business of Oculus (Meta) (2020-2025)
  • Table 40. Oculus (Meta) Recent Developments
  • Table 41. Amazon AWS Basic Information List
  • Table 42. Amazon AWS Description and Business Overview
  • Table 43. Amazon AWS Human-machine Collaboration Products, Services and Solutions
  • Table 44. Revenue (US$ Million) in Human-machine Collaboration Business of Amazon AWS (2020-2025)
  • Table 45. Amazon AWS Recent Developments
  • Table 46. Iflytek Basic Information List
  • Table 47. Iflytek Description and Business Overview
  • Table 48. Iflytek Human-machine Collaboration Products, Services and Solutions
  • Table 49. Revenue (US$ Million) in Human-machine Collaboration Business of Iflytek (2020-2025)
  • Table 50. Iflytek Recent Developments
  • Table 51. Google Basic Information List
  • Table 52. Google Description and Business Overview
  • Table 53. Google Human-machine Collaboration Products, Services and Solutions
  • Table 54. Revenue (US$ Million) in Human-machine Collaboration Business of Google (2020-2025)
  • Table 55. Google Recent Developments
  • Table 56. IBM Basic Information List
  • Table 57. IBM Description and Business Overview
  • Table 58. IBM Human-machine Collaboration Products, Services and Solutions
  • Table 59. Revenue (US$ Million) in Human-machine Collaboration Business of IBM (2020-2025)
  • Table 60. IBM Recent Developments
  • Table 61. NICE Basic Information List
  • Table 62. NICE Description and Business Overview
  • Table 63. NICE Human-machine Collaboration Products, Services and Solutions
  • Table 64. Revenue (US$ Million) in Human-machine Collaboration Business of NICE (2020-2025)
  • Table 65. NICE Recent Developments
  • Table 66. Huawei Basic Information List
  • Table 67. Huawei Description and Business Overview
  • Table 68. Huawei Human-machine Collaboration Products, Services and Solutions
  • Table 69. Revenue (US$ Million) in Human-machine Collaboration Business of Huawei (2020-2025)
  • Table 70. Huawei Recent Developments
  • Table 71. Alibaba Basic Information List
  • Table 72. Alibaba Description and Business Overview
  • Table 73. Alibaba Human-machine Collaboration Products, Services and Solutions
  • Table 74. Revenue (US$ Million) in Human-machine Collaboration Business of Alibaba (2020-2025)
  • Table 75. Alibaba Recent Developments
  • Table 76. Sony Basic Information List
  • Table 77. Sony Description and Business Overview
  • Table 78. Sony Human-machine Collaboration Products, Services and Solutions
  • Table 79. Revenue (US$ Million) in Human-machine Collaboration Business of Sony (2020-2025)
  • Table 80. Sony Recent Developments
  • Table 81. Baidu Basic Information List
  • Table 82. Baidu Description and Business Overview
  • Table 83. Baidu Human-machine Collaboration Products, Services and Solutions
  • Table 84. Revenue (US$ Million) in Human-machine Collaboration Business of Baidu (2020-2025)
  • Table 85. Baidu Recent Developments
  • Table 86. Pico Interactive Basic Information List
  • Table 87. Pico Interactive Description and Business Overview
  • Table 88. Pico Interactive Human-machine Collaboration Products, Services and Solutions
  • Table 89. Revenue (US$ Million) in Human-machine Collaboration Business of Pico Interactive (2020-2025)
  • Table 90. Pico Interactive Recent Developments
  • Table 91. HTC Basic Information List
  • Table 92. HTC Description and Business Overview
  • Table 93. HTC Human-machine Collaboration Products, Services and Solutions
  • Table 94. Revenue (US$ Million) in Human-machine Collaboration Business of HTC (2020-2025)
  • Table 95. HTC Recent Developments
  • Table 96. Tobii Basic Information List
  • Table 97. Tobii Description and Business Overview
  • Table 98. Tobii Human-machine Collaboration Products, Services and Solutions
  • Table 99. Revenue (US$ Million) in Human-machine Collaboration Business of Tobii (2020-2025)
  • Table 100. Tobii Recent Developments
  • Table 101. Apple Basic Information List
  • Table 102. Apple Description and Business Overview
  • Table 103. Apple Human-machine Collaboration Products, Services and Solutions
  • Table 104. Revenue (US$ Million) in Human-machine Collaboration Business of Apple (2020-2025)
  • Table 105. Apple Recent Developments
  • Table 106. Key Raw Materials Lists
  • Table 107. Raw Materials Key Suppliers Lists
  • Table 108. Human-machine Collaboration Downstream Customers
  • Table 109. Human-machine Collaboration Distributors List
  • Table 110. Research Programs/Design for This Report
  • Table 111. Key Data Information from Secondary Sources
  • Table 112. Key Data Information from Primary Sources

List of Figures

  • Figure 1. Human-machine Collaboration Product Picture
  • Figure 2. Global Human-machine Collaboration Sales Value, 2020 VS 2024 VS 2031 (US$ Million)
  • Figure 3. Global Human-machine Collaboration Sales Value (2020-2031) & (US$ Million)
  • Figure 4. Human-machine Collaboration Report Years Considered
  • Figure 5. Global Human-machine Collaboration Players Revenue Ranking (2024) & (US$ Million)
  • Figure 6. The 5 and 10 Largest Companies in the World: Market Share by Human-machine Collaboration Revenue in 2024
  • Figure 7. Human-machine Collaboration Market Share by Company Type (Tier 1, Tier 2, and Tier 3): 2020 VS 2024
  • Figure 8. Hardware Picture
  • Figure 9. Software Picture
  • Figure 10. Global Human-machine Collaboration Sales Value by Type (2020 VS 2024 VS 2031) & (US$ Million)
  • Figure 11. Global Human-machine Collaboration Sales Value Market Share by Type, 2024 & 2031
  • Figure 12. Product Picture of AR/VR
  • Figure 13. Product Picture of Speech Recognition and Natural Language Processing
  • Figure 14. Product Picture of Eye Control
  • Figure 15. Product Picture of Others
  • Figure 16. Global Human-machine Collaboration Sales Value by Application (2020 VS 2024 VS 2031) & (US$ Million)
  • Figure 17. Global Human-machine Collaboration Sales Value Market Share by Application, 2024 & 2031
  • Figure 18. North America Human-machine Collaboration Sales Value (2020-2031) & (US$ Million)
  • Figure 19. North America Human-machine Collaboration Sales Value by Country (%), 2024 VS 2031
  • Figure 20. Europe Human-machine Collaboration Sales Value, (2020-2031) & (US$ Million)
  • Figure 21. Europe Human-machine Collaboration Sales Value by Country (%), 2024 VS 2031
  • Figure 22. Asia Pacific Human-machine Collaboration Sales Value, (2020-2031) & (US$ Million)
  • Figure 23. Asia Pacific Human-machine Collaboration Sales Value by Region (%), 2024 VS 2031
  • Figure 24. South America Human-machine Collaboration Sales Value, (2020-2031) & (US$ Million)
  • Figure 25. South America Human-machine Collaboration Sales Value by Country (%), 2024 VS 2031
  • Figure 26. Middle East & Africa Human-machine Collaboration Sales Value, (2020-2031) & (US$ Million)
  • Figure 27. Middle East & Africa Human-machine Collaboration Sales Value by Country (%), 2024 VS 2031
  • Figure 28. Key Countries/Regions Human-machine Collaboration Sales Value (%), (2020-2031)
  • Figure 29. United States Human-machine Collaboration Sales Value, (2020-2031) & (US$ Million)
  • Figure 30. United States Human-machine Collaboration Sales Value by Type (%), 2024 VS 2031
  • Figure 31. United States Human-machine Collaboration Sales Value by Application (%), 2024 VS 2031
  • Figure 32. Europe Human-machine Collaboration Sales Value, (2020-2031) & (US$ Million)
  • Figure 33. Europe Human-machine Collaboration Sales Value by Type (%), 2024 VS 2031
  • Figure 34. Europe Human-machine Collaboration Sales Value by Application (%), 2024 VS 2031
  • Figure 35. China Human-machine Collaboration Sales Value, (2020-2031) & (US$ Million)
  • Figure 36. China Human-machine Collaboration Sales Value by Type (%), 2024 VS 2031
  • Figure 37. China Human-machine Collaboration Sales Value by Application (%), 2024 VS 2031
  • Figure 38. Japan Human-machine Collaboration Sales Value, (2020-2031) & (US$ Million)
  • Figure 39. Japan Human-machine Collaboration Sales Value by Type (%), 2024 VS 2031
  • Figure 40. Japan Human-machine Collaboration Sales Value by Application (%), 2024 VS 2031
  • Figure 41. South Korea Human-machine Collaboration Sales Value, (2020-2031) & (US$ Million)
  • Figure 42. South Korea Human-machine Collaboration Sales Value by Type (%), 2024 VS 2031
  • Figure 43. South Korea Human-machine Collaboration Sales Value by Application (%), 2024 VS 2031
  • Figure 44. Southeast Asia Human-machine Collaboration Sales Value, (2020-2031) & (US$ Million)
  • Figure 45. Southeast Asia Human-machine Collaboration Sales Value by Type (%), 2024 VS 2031
  • Figure 46. Southeast Asia Human-machine Collaboration Sales Value by Application (%), 2024 VS 2031
  • Figure 47. India Human-machine Collaboration Sales Value, (2020-2031) & (US$ Million)
  • Figure 48. India Human-machine Collaboration Sales Value by Type (%), 2024 VS 2031
  • Figure 49. India Human-machine Collaboration Sales Value by Application (%), 2024 VS 2031
  • Figure 50. Human-machine Collaboration Industrial Chain
  • Figure 51. Human-machine Collaboration Manufacturing Cost Structure
  • Figure 52. Channels of Distribution (Direct Sales, and Distribution)
  • Figure 53. Bottom-up and Top-down Approaches for This Report
  • Figure 54. Data Triangulation
  • Figure 55. Key Executives Interviewed