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1874427

人機協作：全球市場佔有率及排名、總收入及需求預測（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個工作天內

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全球人機協作市場規模預計在 2024 年達到 180.42 億美元，預計到 2031 年將達到 598.86 億美元，在 2025 年至 2031 年的預測期內，複合年成長率將達到 19.3%。

人機協作（HMC），也稱為人機互動（HCI），是研究人與電腦系統之間互動的領域。它專注於如何設計、評估和實現電腦技術，使其能夠有效率、便利、直覺地與使用者互動。人機互動不僅限於傳統的電腦介面，還涵蓋了人與智慧型裝置之間的各種互動方式，例如智慧型手機、虛擬實境（VR）、擴增實境（AR）、語音助理、眼動追蹤和腦機介面。人機互動的核心目標是提升使用者體驗，並確保科技與人類的需求和行為相符。

下一代人機互動的定義涵蓋了多種創新技術和互動方法，旨在改善人機互動體驗。現代人機互動技術還包括以下關鍵領域：

擴增實境(AR) 與虛擬實境 (VR)：AR 和 VR 技術打破了電腦螢幕與使用者之間的傳統界限，創造了身臨其境型虛擬環境。在 VR 中，使用者透過頭戴式顯示器與虛擬世界互動；而在 AR 中，虛擬元素疊加在現實世界之上，使用者可以透過智慧眼鏡或行動電話等裝置獲得互動體驗。語音辨識和自然語言處理 (NLP)：語音辨識技術使電腦能夠理解和解析人類語言，從而允許使用者透過語音命令與電腦互動。自然語言處理進一步提升了電腦理解和產生自然語言的能力，使機器能夠更像人類一樣進行交流，並為語音助理和聊天機器人等應用提供支援。

眼動追蹤：眼動追蹤技術能夠追蹤使用者的眼球運動，實現無需手動操作的控制方式。眼動追蹤使系統能夠捕捉使用者的注意力點和注視點，從而提升操作便利性，尤其是在無障礙設計和虛擬環境中。

其他新興技術包括腦機介面（BCI），它可以直接讀取腦電波來控制電腦，進一步拓展了人機物理互動的邊界。此外，觸覺回饋、手勢姿態辨識和情緒運算等技術也不斷豐富人機互動的方式。

下一代人機互動技術不僅將提升使用者體驗的自然性和便利性，也將使人與科技的互動更加智慧、流暢和個人化。隨著人工智慧和機器學習的進步，這些技術將在未來的應用中發揮更大的作用。

人機協作市場主要分為軟體和硬體兩大板塊。截至2024年，軟體市佔率最大，達78.31%。這一主導地位反映了人工智慧（AI）、語音辨識、自然語言處理（NLP）和虛擬助理等技術在從消費生活到商業營運等各個領域的廣泛應用。智慧語音助理、自動化客服和智慧翻譯工具等應用程式已滲透到各個產業，顯著提升了使用者體驗和業務效率。

隨著5G技術的持續發展和邊緣運算的廣泛應用，軟體領域的市場佔有率預計將進一步擴大，尤其是在機器學習和深度學習演算法影響力日益增強的情況下。同時，儘管硬體產品目前市場佔有率相對較小，但它們仍然是人機互動（HCI）生態系統的重要組成部分，尤其是在擴增實境（AR）、虛擬實境（VR）和眼動追蹤技術等領域。在身臨其境型體驗需求不斷成長的推動下，AR/ VR頭戴裝置、眼動追蹤設備及相關互動硬體正逐漸成為主流，並在遊戲、醫療、教育和房地產等行業迅速普及，從而帶動了硬體市場的發展。

從應用角度來看，人機互動（HCI）市場目前主要集中在擴增實境/虛擬實境（AR/VR）、語音辨識和自然語言處理（NLP）以及眼動追蹤技術等關鍵領域。到2024年，語音辨識和自然語言處理將佔據最大的市場佔有率（75.95%）。這一成長主要得益於智慧語音助理和人工智慧（AI）客戶服務平台的廣泛應用。隨著自然語言處理技術的不斷改進和機器學習演算法的持續發展，語音和語音互動有望在未來的人機互動中發揮核心作用，尤其是在智慧家庭系統、汽車應用、金融服務等領域。

同時，VR設備成本的下降和技術的進步推動了其在虛擬培訓、遠端醫療協作等領域的廣泛應用。 AR技術在商業和消費環境中也變得越來越普遍，催生了虛擬購物、購買前體驗和互動廣告等新的應用場景。

人機互動（HCI）產業的未來發展預計將遵循幾個關鍵趨勢。首先，人工智慧（AI）與巨量資料融合將推動機器學習、語音辨識、自然語言處理（NLP）及相關領域的創新，創造新的成長機會。尤其值得一提的是，AI與自然語言理解的結合將實現使用者與裝置之間更聰明、直覺且無縫的互動。

其次，硬體技術將持續發展。 VR/AR設備正變得越來越輕巧、價格越來越親民，從而提供更具沉浸感的體驗。頭戴式顯示器（HMD）、眼動追蹤系統和觸覺回饋設備等硬體創新將在遊戲、醫療保健和教育等領域發揮重要作用，進一步拓展市場。此外，5G和物聯網（IoT）的進步將增加對即時、低延遲資料傳輸的需求，推動硬體製造商追求更高的效能和創新。

最後，眼動追蹤和腦機介面（BCI）等新興技術預計將在未來幾年內快速發展。這些創新將顯著拓展人機互動的範圍，並開啟智慧無縫人機連接的新時代。

本報告旨在對全球人機協作市場進行全面分析，重點關注總收入、市場佔有率和主要企業的排名，並按地區/國家、類型和應用程式對人機協作進行分析。

本報告以以收益為準，對人機協作市場規模、估算和預測進行了呈現，以 2024 年為基準年，並包含了 2020 年至 2031 年的歷史數據和預測數據。報告運用定量和定性分析，幫助讀者制定業務和成長策略，評估市場競爭格局，分析公司在當前市場中的地位，並就人機協作做出明智的商業決策。

市場區隔

公司

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

按類型分類的細分市場

  • 硬體
  • 軟體

應用領域

  • AR/VR
  • 語音辨識與自然語言處理
  • 眼控
  • 其他

按地區

  • 北美洲
    • 美國
    • 加拿大
  • 亞太地區
    • 中國
    • 日本
    • 韓國
    • 東南亞
    • 印度
    • 澳洲
    • 亞太其他地區
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 義大利
    • 荷蘭
    • 北歐國家
    • 其他歐洲
  • 拉丁美洲
    • 墨西哥
    • 巴西
    • 其他拉丁美洲
  • 中東和非洲
    • 土耳其
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 其他中東和非洲地區

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