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Home > Reports > Service & Software > Automatic Human Posture Recognition - Global Market Share and Ranking, Overall Sales and Demand Forecast 2026-2032

Automatic Human Posture Recognition - Global Market Share and Ranking, Overall Sales and Demand Forecast 2026-2032

Automatic Human Posture Recognition - Global Market Share and Ranking, Overall Sales and Demand Forecast 2026-2032

Industry: Service & Software

Published: 2026-03-08

Pages: 130 Pages

Report ld: 5549768

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Description

The global market for Automatic Human Posture Recognition was estimated to be worth US$ 746 million in 2025 and is projected to reach US$ 1151 million, growing at a CAGR of 6.5% from 2026 to 2032.

Automatic human pose recognition refers to the core technology that uses computer vision and deep learning algorithms to automatically detect and analyze the positions of key human joints (such as head, shoulders, elbows, wrists, hips, knees, and ankles) from images or videos captured by cameras, constructing a human "skeleton" model to determine the current posture or movement pattern of a person, such as standing, sitting, walking, bending over, raising hands, or falling. The system typically includes several steps: human detection, keypoint localization, skeleton modeling, and pose classification. It can run on ordinary cameras or even mobile phone cameras and is widely used in motion and rehabilitation training action evaluation, intelligent fitness/dance scoring, human-computer interaction, abnormal posture (such as falls and climbing over railings) recognition in security scenarios, and intelligent monitoring of dangerous postures and violations by workers in industrial settings.

Automatic Human Posture Recognition Market Size(US$)

M= millions and B=billions

QYRLogo
From the demand side, automatic human pose recognition has quietly become a "fundamental capability," although most end-users are unaware of this term. On one hand, there are To C scenarios: home fitness apps, smart TVs/motion-sensing games, online rehabilitation training, and "AI motion scoring" in mini-programs are all using pose recognition to replace expensive motion capture equipment, allowing a mobile phone or camera to perform functions such as posture assessment, yoga/dance movement correction, and monitoring of adolescent hunchback; on the other hand, there are To B/To G scenarios: nursing homes and home care use it for fall/prolonged bed rest monitoring, factories, warehouses, and construction sites use it to identify violations such as bending over to carry objects, climbing to high places, and entering dangerous areas, and subways/shopping malls/scenic spots are beginning to experiment with "pose + behavior" recognition to detect abnormal gatherings, fights, and fence jumping. As the advantages of "non-intrusive, non-wearable, and low-cost" are recognized, this technology is expanding from single-point pilot projects to become a "video surveillance upgrade package" and a "standard capability for smart terminals."
From the supply and competitive landscape perspective, automatic human pose recognition has entered a stage where "general algorithms are reaching their limits, and scenarios and closed loops determine value": the underlying 2D/3D pose models have basically been leveled by large companies and open-source frameworks, and simply selling SDKs or model interfaces has high prices and high substitutability; the real bargaining power lies with players who integrate pose recognition with a complete business closed loop—for example, providing "action scoring + training prescriptions + risk warnings" in the rehabilitation/sports field, directly linking to alarms, assessments, and team management in industrial safety, and integrating with nursing systems, bedside alarms, and family apps in elderly care. Looking further ahead, as edge computing capabilities are deployed to cameras, NVRs, and other devices, whoever can develop sufficiently lightweight models that perform stably under complex lighting, occlusion, and multi-person scenarios, and who can leverage long-term data to build an "industry action library" and risk control models, will have the opportunity to upgrade from being "an algorithm provider" to a "service provider for safety, health, and efficiency improvement in a specific vertical scenario," securing recurring subscription and project-based revenue, rather than simply selling a technology solution once.

This report provides a comprehensive view of the global market for Automatic Human Posture Recognition, covering total sales revenue, the market share and ranking of key companies, along with analyses by region & country, by Type, and by Application.

The Automatic Human Posture Recognition market size, estimations, and forecasts are presented in terms of sales revenue ($ millions), with 2025 as the base year and historical and forecast data from 2021 to 2032. The report combines quantitative and qualitative analysis to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current marketplace, and make informed business decisions regarding Automatic Human Posture Recognition.

Market Segmentation

  • Report Metric

  • Details

  • Report Title

  • Automatic Human Posture Recognition - Global Market Share and Ranking, Overall Sales and Demand Forecast 2026-2032

  • Forecasted Market Size in 2032

  • US$ 1151 million

  • CAGR(2026-2032)

  • 6.5%

  • Market Size Available for Years

  • 2026-2032

  • Global Automatic Human Posture Recognition Companies Covered

  • OpenPose

    MoveNet

    PoseNet

    ChivaCare

    Sensor Medica

    APECS

    DCpose

    Yugamiru Cloud

    Egoscue

    ErgoMaster - NexGen Ergonomics

    ProtoKinetics

    PhysicalTech

    Bodiometer Home

    PostureRay

    Tracy Dixon-Maynard

    DensePose

    HighHRNet

    AiphaPose

  • Global Automatic Human Posture Recognition Market, by Region

  • North America (U.S., Canada, Mexico)

    Europe (Germany, France, UK, Italy, etc.)

    Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)

    South America (Brazil, etc.)

    Middle East and Africa (Turkey, GCC Countries, Africa, etc.)

  • Global Automatic Human Posture Recognition Market, Segment by Type

  • 2D

    3D

  • Global Automatic Human Posture Recognition Market, Segment by Application

  • Personal

    Commercial

  • Product Category

  • Real-time Human Pose Estimation

    Offline / High-precision Pose Estimation

  • Market Segment

  • Single-person Pose Estimation

    Multi-person Pose Estimation

  • Forecast Units

  • Million USD

  • Report Coverage

  • Revenue and volume forecast, company share, competitive landscape, growth factors and trends

Chapter Outline
Chapter 1: Introduces the scope of the report and the global market size (value). It also summarizes market dynamics and recent developments; identifies key drivers and restraints; outlines challenges and risks for players; reviews relevant industry policies.
Chapter 2: Provides a detailed analysis of the Automatic Human Posture Recognition companies' competitive landscape—including revenue shares, recent development plans, and mergers and acquisitions (M&A).
Chapter 3: Analyzes market segmentation by Type, presenting the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 4: Analyzes market segmentation by Application, presenting the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 5: Presents Automatic Human Posture Recognition revenue at the regional level. It offers a quantitative assessment of market size and growth potential by region and summarizes market development, future prospects, addressable space, and country-level market size worldwide.
Chapter 6: Presents Automatic Human Posture Recognition revenue at the country level. It provides segmented data by Type and by Application for each country/region.
Chapter 7: Profiles key players, detailing the main companies' product revenue, gross margin, product portfolios, recent developments, etc.
Chapter 8: Analysis of Value Chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Table of Contents

1 Market Overview
    1.1 Automatic Human Posture Recognition Product Introduction
    1.2 Global Automatic Human Posture Recognition Market Size Forecast (2021–2032)
    1.3 Automatic Human Posture Recognition Market Trends & Drivers
        1.3.1 Automatic Human Posture Recognition Industry Trends
        1.3.2 Automatic Human Posture Recognition Market Drivers & Opportunities
        1.3.3 Automatic Human Posture Recognition Market Challenges
        1.3.4 Automatic Human Posture Recognition Market Restraints
    1.4 Assumptions and Limitations
    1.5 Study Objectives
    1.6 Years Considered
2 Competitive Analysis by Company
    2.1 Global Automatic Human Posture Recognition Players Revenue Ranking (2025)
    2.2 Global Automatic Human Posture Recognition Revenue by Company (2021–2026)
    2.3 Key Companies’ R&D and Operations Footprint and Headquarters
    2.4 Key Companies Automatic Human Posture Recognition Product Offerings
    2.5 Key Companies General Availability (GA) Timeline for Automatic Human Posture Recognition
    2.6 Automatic Human Posture Recognition Market Competitive Analysis
        2.6.1 Automatic Human Posture Recognition Market Concentration Rate (2021–2026)
        2.6.2 Top 5 and Top 10 Global Companies by Automatic Human Posture Recognition Revenue in 2025
        2.6.3 Global Companies by Tier (Tier 1, Tier 2, Tier 3), based on Automatic Human Posture Recognition revenue, 2025
    2.7 Mergers & Acquisitions and Expansion
3 Segmentation Automatic Human Posture Recognition Market Classification
    3.1 Introduction by Type
        3.1.1 2D
        3.1.2 3D
        3.1.3 Global Automatic Human Posture Recognition Sales Value by Type
            3.1.3.1 Global Automatic Human Posture Recognition Sales Value by Type (2021 vs 2025 vs 2032)
            3.1.3.2 Global Automatic Human Posture Recognition Sales Value, by Type (2021–2032)
            3.1.3.3 Global Automatic Human Posture Recognition Sales Value, by Type (%), 2021–2032
    3.2 Introduction by Model
        3.2.1 Real-time Human Pose Estimation
        3.2.2 Offline / High-precision Pose Estimation
        3.2.3 Global Automatic Human Posture Recognition Sales Value by Model
            3.2.3.1 Global Automatic Human Posture Recognition Sales Value by Model (2021 vs 2025 vs 2032)
            3.2.3.2 Global Automatic Human Posture Recognition Sales Value, by Model (2021–2032)
            3.2.3.3 Global Automatic Human Posture Recognition Sales Value, by Model (%), 2021–2032
    3.3 Introduction by Quantity
        3.3.1 Single-person Pose Estimation
        3.3.2 Multi-person Pose Estimation
        3.3.3 Global Automatic Human Posture Recognition Sales Value by Quantity
            3.3.3.1 Global Automatic Human Posture Recognition Sales Value by Quantity (2021 vs 2025 vs 2032)
            3.3.3.2 Global Automatic Human Posture Recognition Sales Value, by Quantity (2021–2032)
            3.3.3.3 Global Automatic Human Posture Recognition Sales Value, by Quantity (%), 2021–2032
4 Segmentation by Application
    4.1 Introduction by Application
        4.1.1 Personal
        4.1.2 Commercial
    4.2 Global Automatic Human Posture Recognition Sales Value by Application
        4.2.1 Global Automatic Human Posture Recognition Sales Value by Application (2021 vs 2025 vs 2032)
        4.2.2 Global Automatic Human Posture Recognition Sales Value by Application (2021–2032)
        4.2.3 Global Automatic Human Posture Recognition Sales Value by Application (%), 2021–2032
5 Segmentation by Region
    5.1 Global Automatic Human Posture Recognition Sales Value by Region
        5.1.1 Global Automatic Human Posture Recognition Sales Value by Region: 2021 vs 2025 vs 2032
        5.1.2 Global Automatic Human Posture Recognition Sales Value by Region (2021–2026)
        5.1.3 Global Automatic Human Posture Recognition Sales Value by Region (2027–2032)
        5.1.4 Global Automatic Human Posture Recognition Sales Value by Region (%), 2021–2032
    5.2 North America
        5.2.1 North America Automatic Human Posture Recognition Sales Value, 2021–2032
        5.2.2 North America Automatic Human Posture Recognition Sales Value by Country (%), 2025 vs 2032
    5.3 Europe
        5.3.1 Europe Automatic Human Posture Recognition Sales Value, 2021–2032
        5.3.2 Europe Automatic Human Posture Recognition Sales Value by Country (%), 2025 vs 2032
    5.4 Asia Pacific
        5.4.1 Asia Pacific Automatic Human Posture Recognition Sales Value, 2021–2032
        5.4.2 Asia Pacific Automatic Human Posture Recognition Sales Value by Subregion (%), 2025 vs 2032
    5.5 South America
        5.5.1 South America Automatic Human Posture Recognition Sales Value, 2021–2032
        5.5.2 South America Automatic Human Posture Recognition Sales Value by Country (%), 2025 vs 2032
    5.6 Middle East & Africa
        5.6.1 Middle East & Africa Automatic Human Posture Recognition Sales Value, 2021–2032
        5.6.2 Middle East & Africa Automatic Human Posture Recognition Sales Value by Country (%), 2025 vs 2032
6 Segmentation by Key Countries/Regions
    6.1 Key Countries/Regions Automatic Human Posture Recognition Sales Value Growth Trends, 2021 vs 2025 vs 2032
    6.2 Key Countries/Regions Automatic Human Posture Recognition Sales Value, 2021–2032
    6.3 United States
        6.3.1 United States Automatic Human Posture Recognition Sales Value, 2021–2032
        6.3.2 United States Automatic Human Posture Recognition Sales Value by Type (%), 2025 vs 2032
        6.3.3 United States Automatic Human Posture Recognition Sales Value by Application, 2025 vs 2032
    6.4 Europe
        6.4.1 Europe Automatic Human Posture Recognition Sales Value, 2021–2032
        6.4.2 Europe Automatic Human Posture Recognition Sales Value by Type (%), 2025 vs 2032
        6.4.3 Europe Automatic Human Posture Recognition Sales Value by Application, 2025 vs 2032
    6.5 China
        6.5.1 China Automatic Human Posture Recognition Sales Value, 2021–2032
        6.5.2 China Automatic Human Posture Recognition Sales Value by Type (%), 2025 vs 2032
        6.5.3 China Automatic Human Posture Recognition Sales Value by Application, 2025 vs 2032
    6.6 Japan
        6.6.1 Japan Automatic Human Posture Recognition Sales Value, 2021–2032
        6.6.2 Japan Automatic Human Posture Recognition Sales Value by Type (%), 2025 vs 2032
        6.6.3 Japan Automatic Human Posture Recognition Sales Value by Application, 2025 vs 2032
    6.7 South Korea
        6.7.1 South Korea Automatic Human Posture Recognition Sales Value, 2021–2032
        6.7.2 South Korea Automatic Human Posture Recognition Sales Value by Type (%), 2025 vs 2032
        6.7.3 South Korea Automatic Human Posture Recognition Sales Value by Application, 2025 vs 2032
    6.8 Southeast Asia
        6.8.1 Southeast Asia Automatic Human Posture Recognition Sales Value, 2021–2032
        6.8.2 Southeast Asia Automatic Human Posture Recognition Sales Value by Type (%), 2025 vs 2032
        6.8.3 Southeast Asia Automatic Human Posture Recognition Sales Value by Application, 2025 vs 2032
    6.9 India
        6.9.1 India Automatic Human Posture Recognition Sales Value, 2021–2032
        6.9.2 India Automatic Human Posture Recognition Sales Value by Type (%), 2025 vs 2032
        6.9.3 India Automatic Human Posture Recognition Sales Value by Application, 2025 vs 2032
7 Company Profiles
    7.1 OpenPose
        7.1.1 OpenPose Profile
        7.1.2 OpenPose Main Business
        7.1.3 OpenPose Automatic Human Posture Recognition Products, Services, and Solutions
        7.1.4 OpenPose Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.1.5 OpenPose Recent Developments
    7.2 MoveNet
        7.2.1 MoveNet Profile
        7.2.2 MoveNet Main Business
        7.2.3 MoveNet Automatic Human Posture Recognition Products, Services, and Solutions
        7.2.4 MoveNet Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.2.5 MoveNet Recent Developments
    7.3 PoseNet
        7.3.1 PoseNet Profile
        7.3.2 PoseNet Main Business
        7.3.3 PoseNet Automatic Human Posture Recognition Products, Services, and Solutions
        7.3.4 PoseNet Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.3.5 PoseNet Recent Developments
    7.4 ChivaCare
        7.4.1 ChivaCare Profile
        7.4.2 ChivaCare Main Business
        7.4.3 ChivaCare Automatic Human Posture Recognition Products, Services, and Solutions
        7.4.4 ChivaCare Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.4.5 ChivaCare Recent Developments
    7.5 Sensor Medica
        7.5.1 Sensor Medica Profile
        7.5.2 Sensor Medica Main Business
        7.5.3 Sensor Medica Automatic Human Posture Recognition Products, Services, and Solutions
        7.5.4 Sensor Medica Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.5.5 Sensor Medica Recent Developments
    7.6 APECS
        7.6.1 APECS Profile
        7.6.2 APECS Main Business
        7.6.3 APECS Automatic Human Posture Recognition Products, Services, and Solutions
        7.6.4 APECS Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.6.5 APECS Recent Developments
    7.7 DCpose
        7.7.1 DCpose Profile
        7.7.2 DCpose Main Business
        7.7.3 DCpose Automatic Human Posture Recognition Products, Services, and Solutions
        7.7.4 DCpose Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.7.5 DCpose Recent Developments
    7.8 Yugamiru Cloud
        7.8.1 Yugamiru Cloud Profile
        7.8.2 Yugamiru Cloud Main Business
        7.8.3 Yugamiru Cloud Automatic Human Posture Recognition Products, Services, and Solutions
        7.8.4 Yugamiru Cloud Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.8.5 Yugamiru Cloud Recent Developments
    7.9 Egoscue
        7.9.1 Egoscue Profile
        7.9.2 Egoscue Main Business
        7.9.3 Egoscue Automatic Human Posture Recognition Products, Services, and Solutions
        7.9.4 Egoscue Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.9.5 Egoscue Recent Developments
    7.10 ErgoMaster - NexGen Ergonomics
        7.10.1 ErgoMaster - NexGen Ergonomics Profile
        7.10.2 ErgoMaster - NexGen Ergonomics Main Business
        7.10.3 ErgoMaster - NexGen Ergonomics Automatic Human Posture Recognition Products, Services, and Solutions
        7.10.4 ErgoMaster - NexGen Ergonomics Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.10.5 ErgoMaster - NexGen Ergonomics Recent Developments
    7.11 ProtoKinetics
        7.11.1 ProtoKinetics Profile
        7.11.2 ProtoKinetics Main Business
        7.11.3 ProtoKinetics Automatic Human Posture Recognition Products, Services, and Solutions
        7.11.4 ProtoKinetics Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.11.5 ProtoKinetics Recent Developments
    7.12 PhysicalTech
        7.12.1 PhysicalTech Profile
        7.12.2 PhysicalTech Main Business
        7.12.3 PhysicalTech Automatic Human Posture Recognition Products, Services, and Solutions
        7.12.4 PhysicalTech Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.12.5 PhysicalTech Recent Developments
    7.13 Bodiometer Home
        7.13.1 Bodiometer Home Profile
        7.13.2 Bodiometer Home Main Business
        7.13.3 Bodiometer Home Automatic Human Posture Recognition Products, Services, and Solutions
        7.13.4 Bodiometer Home Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.13.5 Bodiometer Home Recent Developments
    7.14 PostureRay
        7.14.1 PostureRay Profile
        7.14.2 PostureRay Main Business
        7.14.3 PostureRay Automatic Human Posture Recognition Products, Services, and Solutions
        7.14.4 PostureRay Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.14.5 PostureRay Recent Developments
    7.15 Tracy Dixon-Maynard
        7.15.1 Tracy Dixon-Maynard Profile
        7.15.2 Tracy Dixon-Maynard Main Business
        7.15.3 Tracy Dixon-Maynard Automatic Human Posture Recognition Products, Services, and Solutions
        7.15.4 Tracy Dixon-Maynard Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.15.5 Tracy Dixon-Maynard Recent Developments
    7.16 DensePose
        7.16.1 DensePose Profile
        7.16.2 DensePose Main Business
        7.16.3 DensePose Automatic Human Posture Recognition Products, Services, and Solutions
        7.16.4 DensePose Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.16.5 DensePose Recent Developments
    7.17 HighHRNet
        7.17.1 HighHRNet Profile
        7.17.2 HighHRNet Main Business
        7.17.3 HighHRNet Automatic Human Posture Recognition Products, Services, and Solutions
        7.17.4 HighHRNet Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.17.5 HighHRNet Recent Developments
    7.18 AiphaPose
        7.18.1 AiphaPose Profile
        7.18.2 AiphaPose Main Business
        7.18.3 AiphaPose Automatic Human Posture Recognition Products, Services, and Solutions
        7.18.4 AiphaPose Automatic Human Posture Recognition Revenue (US$ Million), 2021–2026
        7.18.5 AiphaPose Recent Developments
8 Industry Chain Analysis
    8.1 Automatic Human Posture Recognition Value Chain
    8.2 Automatic Human Posture Recognition Upstream Analysis
        8.2.1 Key Raw Materials
        8.2.2 Key Suppliers of Raw Materials
        8.2.3 Cost Structure
    8.3 Midstream Analysis
    8.4 Downstream (Customer) Analysis
    8.5 Sales Model and Sales Channelss
        8.5.1 Automatic Human Posture Recognition Sales Model
        8.5.2 Sales Channels
        8.5.3 Automatic Human Posture Recognition 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

Table of Figures

List of Tables
 Table 1. Automatic Human Posture Recognition Market Trends
 Table 2. Automatic Human Posture Recognition Market Drivers & Opportunities
 Table 3. Automatic Human Posture Recognition Market Challenges
 Table 4. Automatic Human Posture Recognition Market Restraints
 Table 5. Global Automatic Human Posture Recognition Revenue by Company (US$ Million), 2021–2026
 Table 6. Global Automatic Human Posture Recognition Revenue Market Share by Company (2021–2026)
 Table 7. Key Companies’ R&D and Operations Footprint and Headquarters
 Table 8. Key Companies Automatic Human Posture Recognition Product Type
 Table 9. Key Companies General Availability (GA) Timeline for Automatic Human Posture Recognition
 Table 10. Global Automatic Human Posture Recognition Companies Market Concentration Ratio (CR5 and HHI)
 Table 11. Global Companies by Tier (Tier 1, Tier 2, Tier 3), based on Automatic Human Posture Recognition revenue, 2025
 Table 12. Mergers & Acquisitions and Expansion Plans
 Table 13. Global Automatic Human Posture Recognition Sales Value by Type: 2021 vs 2025 vs 2032 (US$ Million)
 Table 14. Global Automatic Human Posture Recognition Sales Value by Type (US$ Million), 2021–2026
 Table 15. Global Automatic Human Posture Recognition Sales Value by Type (US$ Million), 2027–2032
 Table 16. Global Automatic Human Posture Recognition Sales Market Share in Value by Type (2021–2026)
 Table 17. Global Automatic Human Posture Recognition Sales Market Share in Value by Type (2027–2032)
 Table 18. Global Automatic Human Posture Recognition Sales Value by Model: 2021 vs 2025 vs 2032 (US$ Million)
 Table 19. Global Automatic Human Posture Recognition Sales Value by Model (US$ Million), 2021–2026
 Table 20. Global Automatic Human Posture Recognition Sales Value by Model (US$ Million), 2027–2032
 Table 21. Global Automatic Human Posture Recognition Sales Market Share in Value by Model (2021–2026)
 Table 22. Global Automatic Human Posture Recognition Sales Market Share in Value by Model (2027–2032)
 Table 23. Global Automatic Human Posture Recognition Sales Value by Quantity: 2021 vs 2025 vs 2032 (US$ Million)
 Table 24. Global Automatic Human Posture Recognition Sales Value by Quantity (US$ Million), 2021–2026
 Table 25. Global Automatic Human Posture Recognition Sales Value by Quantity (US$ Million), 2027–2032
 Table 26. Global Automatic Human Posture Recognition Sales Market Share in Value by Quantity (2021–2026)
 Table 27. Global Automatic Human Posture Recognition Sales Market Share in Value by Quantity (2027–2032)
 Table 28. Global Automatic Human Posture Recognition Sales Value by Application: 2021 vs 2025 vs 2032 (US$ Million)
 Table 29. Global Automatic Human Posture Recognition Sales Value by Application (US$ Million), 2021–2026
 Table 30. Global Automatic Human Posture Recognition Sales Value by Application (US$ Million), 2027–2032
 Table 31. Global Automatic Human Posture Recognition Sales Market Share in Value by Application (2021–2026)
 Table 32. Global Automatic Human Posture Recognition Sales Market Share in Value by Application (2027–2032)
 Table 33. Global Automatic Human Posture Recognition Sales Value by Region, (US$ Million), 2021 vs 2025 vs 2032
 Table 34. Global Automatic Human Posture Recognition Sales Value by Region (US$ Million), 2021–2026
 Table 35. Global Automatic Human Posture Recognition Sales Value by Region (US$ Million), 2027–2032
 Table 36. Global Automatic Human Posture Recognition Sales Value by Region (%), 2021–2026
 Table 37. Global Automatic Human Posture Recognition Sales Value by Region (%), 2027–2032
 Table 38. Key Countries/Regions Automatic Human Posture Recognition Sales Value Growth Trends, (US$ Million): 2021 vs 2025 vs 2032
 Table 39. Key Countries/Regions Automatic Human Posture Recognition Sales Value, (US$ Million), 2021–2026
 Table 40. Key Countries/Regions Automatic Human Posture Recognition Sales Value, (US$ Million), 2027–2032
 Table 41. OpenPose Basic Information List
 Table 42. OpenPose Description and Business Overview
 Table 43. OpenPose Automatic Human Posture Recognition Products, Services, and Solutions
 Table 44. Revenue (US$ Million) in Automatic Human Posture Recognition Business of OpenPose (2021–2026)
 Table 45. OpenPose Recent Developments
 Table 46. MoveNet Basic Information List
 Table 47. MoveNet Description and Business Overview
 Table 48. MoveNet Automatic Human Posture Recognition Products, Services, and Solutions
 Table 49. Revenue (US$ Million) in Automatic Human Posture Recognition Business of MoveNet (2021–2026)
 Table 50. MoveNet Recent Developments
 Table 51. PoseNet Basic Information List
 Table 52. PoseNet Description and Business Overview
 Table 53. PoseNet Automatic Human Posture Recognition Products, Services, and Solutions
 Table 54. Revenue (US$ Million) in Automatic Human Posture Recognition Business of PoseNet (2021–2026)
 Table 55. PoseNet Recent Developments
 Table 56. ChivaCare Basic Information List
 Table 57. ChivaCare Description and Business Overview
 Table 58. ChivaCare Automatic Human Posture Recognition Products, Services, and Solutions
 Table 59. Revenue (US$ Million) in Automatic Human Posture Recognition Business of ChivaCare (2021–2026)
 Table 60. ChivaCare Recent Developments
 Table 61. Sensor Medica Basic Information List
 Table 62. Sensor Medica Description and Business Overview
 Table 63. Sensor Medica Automatic Human Posture Recognition Products, Services, and Solutions
 Table 64. Revenue (US$ Million) in Automatic Human Posture Recognition Business of Sensor Medica (2021–2026)
 Table 65. Sensor Medica Recent Developments
 Table 66. APECS Basic Information List
 Table 67. APECS Description and Business Overview
 Table 68. APECS Automatic Human Posture Recognition Products, Services, and Solutions
 Table 69. Revenue (US$ Million) in Automatic Human Posture Recognition Business of APECS (2021–2026)
 Table 70. APECS Recent Developments
 Table 71. DCpose Basic Information List
 Table 72. DCpose Description and Business Overview
 Table 73. DCpose Automatic Human Posture Recognition Products, Services, and Solutions
 Table 74. Revenue (US$ Million) in Automatic Human Posture Recognition Business of DCpose (2021–2026)
 Table 75. DCpose Recent Developments
 Table 76. Yugamiru Cloud Basic Information List
 Table 77. Yugamiru Cloud Description and Business Overview
 Table 78. Yugamiru Cloud Automatic Human Posture Recognition Products, Services, and Solutions
 Table 79. Revenue (US$ Million) in Automatic Human Posture Recognition Business of Yugamiru Cloud (2021–2026)
 Table 80. Yugamiru Cloud Recent Developments
 Table 81. Egoscue Basic Information List
 Table 82. Egoscue Description and Business Overview
 Table 83. Egoscue Automatic Human Posture Recognition Products, Services, and Solutions
 Table 84. Revenue (US$ Million) in Automatic Human Posture Recognition Business of Egoscue (2021–2026)
 Table 85. Egoscue Recent Developments
 Table 86. ErgoMaster - NexGen Ergonomics Basic Information List
 Table 87. ErgoMaster - NexGen Ergonomics Description and Business Overview
 Table 88. ErgoMaster - NexGen Ergonomics Automatic Human Posture Recognition Products, Services, and Solutions
 Table 89. Revenue (US$ Million) in Automatic Human Posture Recognition Business of ErgoMaster - NexGen Ergonomics (2021–2026)
 Table 90. ErgoMaster - NexGen Ergonomics Recent Developments
 Table 91. ProtoKinetics Basic Information List
 Table 92. ProtoKinetics Description and Business Overview
 Table 93. ProtoKinetics Automatic Human Posture Recognition Products, Services, and Solutions
 Table 94. Revenue (US$ Million) in Automatic Human Posture Recognition Business of ProtoKinetics (2021–2026)
 Table 95. ProtoKinetics Recent Developments
 Table 96. PhysicalTech Basic Information List
 Table 97. PhysicalTech Description and Business Overview
 Table 98. PhysicalTech Automatic Human Posture Recognition Products, Services, and Solutions
 Table 99. Revenue (US$ Million) in Automatic Human Posture Recognition Business of PhysicalTech (2021–2026)
 Table 100. PhysicalTech Recent Developments
 Table 101. Bodiometer Home Basic Information List
 Table 102. Bodiometer Home Description and Business Overview
 Table 103. Bodiometer Home Automatic Human Posture Recognition Products, Services, and Solutions
 Table 104. Revenue (US$ Million) in Automatic Human Posture Recognition Business of Bodiometer Home (2021–2026)
 Table 105. Bodiometer Home Recent Developments
 Table 106. PostureRay Basic Information List
 Table 107. PostureRay Description and Business Overview
 Table 108. PostureRay Automatic Human Posture Recognition Products, Services, and Solutions
 Table 109. Revenue (US$ Million) in Automatic Human Posture Recognition Business of PostureRay (2021–2026)
 Table 110. PostureRay Recent Developments
 Table 111. Tracy Dixon-Maynard Basic Information List
 Table 112. Tracy Dixon-Maynard Description and Business Overview
 Table 113. Tracy Dixon-Maynard Automatic Human Posture Recognition Products, Services, and Solutions
 Table 114. Revenue (US$ Million) in Automatic Human Posture Recognition Business of Tracy Dixon-Maynard (2021–2026)
 Table 115. Tracy Dixon-Maynard Recent Developments
 Table 116. DensePose Basic Information List
 Table 117. DensePose Description and Business Overview
 Table 118. DensePose Automatic Human Posture Recognition Products, Services, and Solutions
 Table 119. Revenue (US$ Million) in Automatic Human Posture Recognition Business of DensePose (2021–2026)
 Table 120. DensePose Recent Developments
 Table 121. HighHRNet Basic Information List
 Table 122. HighHRNet Description and Business Overview
 Table 123. HighHRNet Automatic Human Posture Recognition Products, Services, and Solutions
 Table 124. Revenue (US$ Million) in Automatic Human Posture Recognition Business of HighHRNet (2021–2026)
 Table 125. HighHRNet Recent Developments
 Table 126. AiphaPose Basic Information List
 Table 127. AiphaPose Description and Business Overview
 Table 128. AiphaPose Automatic Human Posture Recognition Products, Services, and Solutions
 Table 129. Revenue (US$ Million) in Automatic Human Posture Recognition Business of AiphaPose (2021–2026)
 Table 130. AiphaPose Recent Developments
 Table 131. Revenue (US$ Million) in Automatic Human Posture Recognition Business of Company 40 (2021–2026)
 Table 132. Company 40 Recent Developments
 Table 133. Key Raw Materials Lists
 Table 134. Key Suppliers of Raw Materials Lists
 Table 135. Automatic Human Posture Recognition Downstream Customers
 Table 136. Automatic Human Posture Recognition Distributors List
 Table 137. Research Programs/Design for This Report
 Table 138. Key Data Information from Secondary Sources
 Table 139. Key Data Information from Primary Sources


List of Figures
 Figure 1. Automatic Human Posture Recognition Product Picture
 Figure 2. Global Automatic Human Posture Recognition Sales Value, 2021 vs 2025 vs 2032 (US$ Million)
 Figure 3. Global Automatic Human Posture Recognition Sales Value (US$ Million), 2021–2032
 Figure 4. Automatic Human Posture Recognition Report Years Considered
 Figure 5. Global Automatic Human Posture Recognition Players Revenue Ranking (US$ Million), 2025
 Figure 6. The 5 and 10 Largest Companies in the World: Market Share by Automatic Human Posture Recognition Revenue in 2025
 Figure 7. Automatic Human Posture Recognition Market Share by Company Type (Tier 1, Tier 2, and Tier 3): 2021 vs 2025
 Figure 8. 2D Picture
 Figure 9. 3D Picture
 Figure 10. Global Automatic Human Posture Recognition Sales Value by Type (US$ Million), 2021 vs 2025 vs 2032
 Figure 11. Global Automatic Human Posture Recognition Sales Value Market Share by Type, 2025 & 2032
 Figure 12. Real-time Human Pose Estimation Picture
 Figure 13. Offline / High-precision Pose Estimation Picture
 Figure 14. Global Automatic Human Posture Recognition Sales Value by Model (US$ Million), 2021 vs 2025 vs 2032
 Figure 15. Global Automatic Human Posture Recognition Sales Value Market Share by Model, 2025 & 2032
 Figure 16. Single-person Pose Estimation Picture
 Figure 17. Multi-person Pose Estimation Picture
 Figure 18. Global Automatic Human Posture Recognition Sales Value by Quantity (US$ Million), 2021 vs 2025 vs 2032
 Figure 19. Global Automatic Human Posture Recognition Sales Value Market Share by Quantity, 2025 & 2032
 Figure 20. Product Picture of Personal
 Figure 21. Product Picture of Commercial
 Figure 22. Global Automatic Human Posture Recognition Sales Value by Application (US$ Million), 2021 vs 2025 vs 2032
 Figure 23. Global Automatic Human Posture Recognition Sales Value Market Share by Application, 2025 & 2032
 Figure 24. North America Automatic Human Posture Recognition Sales Value (US$ Million), 2021–2032
 Figure 25. North America Automatic Human Posture Recognition Sales Value by Country (%), 2025 vs 2032
 Figure 26. Europe Automatic Human Posture Recognition Sales Value (US$ Million), 2021–2032
 Figure 27. Europe Automatic Human Posture Recognition Sales Value by Country (%), 2025 vs 2032
 Figure 28. Asia Pacific Automatic Human Posture Recognition Sales Value (US$ Million), 2021–2032
 Figure 29. Asia Pacific Automatic Human Posture Recognition Sales Value by Subregion (%), 2025 vs 2032
 Figure 30. South America Automatic Human Posture Recognition Sales Value (US$ Million), 2021–2032
 Figure 31. South America Automatic Human Posture Recognition Sales Value by Country (%), 2025 vs 2032
 Figure 32. Middle East & Africa Automatic Human Posture Recognition Sales Value (US$ Million), 2021–2032
 Figure 33. Middle East & Africa Automatic Human Posture Recognition Sales Value by Country (%), 2025 vs 2032
 Figure 34. Key Countries/Regions Automatic Human Posture Recognition Sales Value (%), 2021–2032
 Figure 35. United States Automatic Human Posture Recognition Sales Value (US$ Million), 2021–2032
 Figure 36. United States Automatic Human Posture Recognition Sales Value by Type (%), 2025 vs 2032
 Figure 37. United States Automatic Human Posture Recognition Sales Value by Application (%), 2025 vs 2032
 Figure 38. Europe Automatic Human Posture Recognition Sales Value (US$ Million), 2021–2032
 Figure 39. Europe Automatic Human Posture Recognition Sales Value by Type (%), 2025 vs 2032
 Figure 40. Europe Automatic Human Posture Recognition Sales Value by Application (%), 2025 vs 2032
 Figure 41. China Automatic Human Posture Recognition Sales Value (US$ Million), 2021–2032
 Figure 42. China Automatic Human Posture Recognition Sales Value by Type (%), 2025 vs 2032
 Figure 43. China Automatic Human Posture Recognition Sales Value by Application (%), 2025 vs 2032
 Figure 44. Japan Automatic Human Posture Recognition Sales Value (US$ Million), 2021–2032
 Figure 45. Japan Automatic Human Posture Recognition Sales Value by Type (%), 2025 vs 2032
 Figure 46. Japan Automatic Human Posture Recognition Sales Value by Application (%), 2025 vs 2032
 Figure 47. South Korea Automatic Human Posture Recognition Sales Value (US$ Million), 2021–2032
 Figure 48. South Korea Automatic Human Posture Recognition Sales Value by Type (%), 2025 vs 2032
 Figure 49. South Korea Automatic Human Posture Recognition Sales Value by Application (%), 2025 vs 2032
 Figure 50. Southeast Asia Automatic Human Posture Recognition Sales Value (US$ Million), 2021–2032
 Figure 51. Southeast Asia Automatic Human Posture Recognition Sales Value by Type (%), 2025 vs 2032
 Figure 52. Southeast Asia Automatic Human Posture Recognition Sales Value by Application (%), 2025 vs 2032
 Figure 53. India Automatic Human Posture Recognition Sales Value (US$ Million), 2021–2032
 Figure 54. India Automatic Human Posture Recognition Sales Value by Type (%), 2025 vs 2032
 Figure 55. India Automatic Human Posture Recognition Sales Value by Application (%), 2025 vs 2032
 Figure 56. Automatic Human Posture Recognition Value Chain
 Figure 57. Automatic Human Posture Recognition Cost Structure
 Figure 58. Channels of Distribution (Direct Sales, and Distribution)
 Figure 59. Bottom-up and Top-down Approaches for This Report
 Figure 60. Data Triangulation
 Figure 61. Key Executives Interviewed

Description

The global market for Automatic Human Posture Recognition was estimated to be worth US$ 746 million in 2025 and is projected to reach US$ 1151 million, growing at a CAGR of 6.5% from 2026 to 2032.

Automatic human pose recognition refers to the core technology that uses computer vision and deep learning algorithms to automatically detect and analyze the positions of key human joints (such as head, shoulders, elbows, wrists, hips, knees, and ankles) from images or videos captured by cameras, constructing a human "skeleton" model to determine the current posture or movement pattern of a person, such as standing, sitting, walking, bending over, raising hands, or falling. The system typically includes several steps: human detection, keypoint localization, skeleton modeling, and pose classification. It can run on ordinary cameras or even mobile phone cameras and is widely used in motion and rehabilitation training action evaluation, intelligent fitness/dance scoring, human-computer interaction, abnormal posture (such as falls and climbing over railings) recognition in security scenarios, and intelligent monitoring of dangerous postures and violations by workers in industrial settings.
From the demand side, automatic human pose recognition has quietly become a "fundamental capability," although most end-users are unaware of this term. On one hand, there are To C scenarios: home fitness apps, smart TVs/motion-sensing games, online rehabilitation training, and "AI motion scoring" in mini-programs are all using pose recognition to replace expensive motion capture equipment, allowing a mobile phone or camera to perform functions such as posture assessment, yoga/dance movement correction, and monitoring of adolescent hunchback; on the other hand, there are To B/To G scenarios: nursing homes and home care use it for fall/prolonged bed rest monitoring, factories, warehouses, and construction sites use it to identify violations such as bending over to carry objects, climbing to high places, and entering dangerous areas, and subways/shopping malls/scenic spots are beginning to experiment with "pose + behavior" recognition to detect abnormal gatherings, fights, and fence jumping. As the advantages of "non-intrusive, non-wearable, and low-cost" are recognized, this technology is expanding from single-point pilot projects to become a "video surveillance upgrade package" and a "standard capability for smart terminals."
From the supply and competitive landscape perspective, automatic human pose recognition has entered a stage where "general algorithms are reaching their limits, and scenarios and closed loops determine value": the underlying 2D/3D pose models have basically been leveled by large companies and open-source frameworks, and simply selling SDKs or model interfaces has high prices and high substitutability; the real bargaining power lies with players who integrate pose recognition with a complete business closed loop—for example, providing "action scoring + training prescriptions + risk warnings" in the rehabilitation/sports field, directly linking to alarms, assessments, and team management in industrial safety, and integrating with nursing systems, bedside alarms, and family apps in elderly care. Looking further ahead, as edge computing capabilities are deployed to cameras, NVRs, and other devices, whoever can develop sufficiently lightweight models that perform stably under complex lighting, occlusion, and multi-person scenarios, and who can leverage long-term data to build an "industry action library" and risk control models, will have the opportunity to upgrade from being "an algorithm provider" to a "service provider for safety, health, and efficiency improvement in a specific vertical scenario," securing recurring subscription and project-based revenue, rather than simply selling a technology solution once.

This report provides a comprehensive view of the global market for Automatic Human Posture Recognition, covering total sales revenue, the market share and ranking of key companies, along with analyses by region & country, by Type, and by Application.

The Automatic Human Posture Recognition market size, estimations, and forecasts are presented in terms of sales revenue ($ millions), with 2025 as the base year and historical and forecast data from 2021 to 2032. The report combines quantitative and qualitative analysis to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current marketplace, and make informed business decisions regarding Automatic Human Posture Recognition.

Market Segmentation
Chapter Outline
Chapter 1: Introduces the scope of the report and the global market size (value). It also summarizes market dynamics and recent developments; identifies key drivers and restraints; outlines challenges and risks for players; reviews relevant industry policies.
Chapter 2: Provides a detailed analysis of the Automatic Human Posture Recognition companies' competitive landscape—including revenue shares, recent development plans, and mergers and acquisitions (M&A).
Chapter 3: Analyzes market segmentation by Type, presenting the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 4: Analyzes market segmentation by Application, presenting the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 5: Presents Automatic Human Posture Recognition revenue at the regional level. It offers a quantitative assessment of market size and growth potential by region and summarizes market development, future prospects, addressable space, and country-level market size worldwide.
Chapter 6: Presents Automatic Human Posture Recognition revenue at the country level. It provides segmented data by Type and by Application for each country/region.
Chapter 7: Profiles key players, detailing the main companies' product revenue, gross margin, product portfolios, recent developments, etc.
Chapter 8: Analysis of Value Chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Automatic Human Posture Recognition - Global Market Share and Ranking, Overall Sales and Demand Forecast 2026-2032

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