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Service & Software Global Automatic Human Posture Recognition Market 2026 by Company, Regions, Type and Application, Forecast to 2032

  • RnM4673345
    • |
  • 16 February, 2026
    • |
  • Global
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  • 124 Pages
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  • GIR
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  • Service & Software

According to our (Global Info Research) latest study, the global Automatic Human Posture Recognition market size was valued at US$ 768 million in 2025 and is forecast to a readjusted size of US$ 1174 million by 2032 with a CAGR of 6.3% during review period.
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 is a detailed and comprehensive analysis for global Automatic Human Posture Recognition market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Automatic Human Posture Recognition market size and forecasts, in consumption value ($ Million), 2021-2032
Global Automatic Human Posture Recognition market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global Automatic Human Posture Recognition market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
Global Automatic Human Posture Recognition market shares of main players, in revenue ($ Million), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Automatic Human Posture Recognition
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Automatic Human Posture Recognition market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include OpenPose, MoveNet, PoseNet, ChivaCare, Sensor Medica, APECS, DCpose, Yugamiru Cloud, Egoscue, ErgoMaster - NexGen Ergonomics, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Automatic Human Posture Recognition market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
2D
3D
Market segment by Model
Real-time Human Pose Estimation
Offline / High-precision Pose Estimation
Market segment by Quantity
Single-person Pose Estimation
Multi-person Pose Estimation
Market segment by Application
Personal
Commercial
Market segment by players, this report covers
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
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Automatic Human Posture Recognition product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Automatic Human Posture Recognition, with revenue, gross margin, and global market share of Automatic Human Posture Recognition from 2021 to 2026.
Chapter 3, the Automatic Human Posture Recognition competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2021 to 2032.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2021 to 2026.and Automatic Human Posture Recognition market forecast, by regions, by Type and by Application, with consumption value, from 2027 to 2032.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Automatic Human Posture Recognition.
Chapter 13, to describe Automatic Human Posture Recognition research findings and conclusion.


1 Market Overview

  • 1.1 Product Overview and Scope
  • 1.2 Market Estimation Caveats and Base Year
  • 1.3 Classification of Automatic Human Posture Recognition by Type
    • 1.3.1 Overview: Global Automatic Human Posture Recognition Market Size by Type: 2021 Versus 2025 Versus 2032
    • 1.3.2 Global Automatic Human Posture Recognition Consumption Value Market Share by Type in 2025
    • 1.3.3 2D
    • 1.3.4 3D
  • 1.4 Classification of Automatic Human Posture Recognition by Model
    • 1.4.1 Overview: Global Automatic Human Posture Recognition Market Size by Model: 2021 Versus 2025 Versus 2032
    • 1.4.2 Global Automatic Human Posture Recognition Consumption Value Market Share by Model in 2025
    • 1.4.3 Real-time Human Pose Estimation
    • 1.4.4 Offline / High-precision Pose Estimation
  • 1.5 Classification of Automatic Human Posture Recognition by Quantity
    • 1.5.1 Overview: Global Automatic Human Posture Recognition Market Size by Quantity: 2021 Versus 2025 Versus 2032
    • 1.5.2 Global Automatic Human Posture Recognition Consumption Value Market Share by Quantity in 2025
    • 1.5.3 Single-person Pose Estimation
    • 1.5.4 Multi-person Pose Estimation
  • 1.6 Global Automatic Human Posture Recognition Market by Application
    • 1.6.1 Overview: Global Automatic Human Posture Recognition Market Size by Application: 2021 Versus 2025 Versus 2032
    • 1.6.2 Personal
    • 1.6.3 Commercial
  • 1.7 Global Automatic Human Posture Recognition Market Size & Forecast
  • 1.8 Global Automatic Human Posture Recognition Market Size and Forecast by Region
    • 1.8.1 Global Automatic Human Posture Recognition Market Size by Region: 2021 VS 2025 VS 2032
    • 1.8.2 Global Automatic Human Posture Recognition Market Size by Region, (2021-2032)
    • 1.8.3 North America Automatic Human Posture Recognition Market Size and Prospect (2021-2032)
    • 1.8.4 Europe Automatic Human Posture Recognition Market Size and Prospect (2021-2032)
    • 1.8.5 Asia-Pacific Automatic Human Posture Recognition Market Size and Prospect (2021-2032)
    • 1.8.6 South America Automatic Human Posture Recognition Market Size and Prospect (2021-2032)
    • 1.8.7 Middle East & Africa Automatic Human Posture Recognition Market Size and Prospect (2021-2032)

2 Company Profiles

  • 2.1 OpenPose
    • 2.1.1 OpenPose Details
    • 2.1.2 OpenPose Major Business
    • 2.1.3 OpenPose Automatic Human Posture Recognition Product and Solutions
    • 2.1.4 OpenPose Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.1.5 OpenPose Recent Developments and Future Plans
  • 2.2 MoveNet
    • 2.2.1 MoveNet Details
    • 2.2.2 MoveNet Major Business
    • 2.2.3 MoveNet Automatic Human Posture Recognition Product and Solutions
    • 2.2.4 MoveNet Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.2.5 MoveNet Recent Developments and Future Plans
  • 2.3 PoseNet
    • 2.3.1 PoseNet Details
    • 2.3.2 PoseNet Major Business
    • 2.3.3 PoseNet Automatic Human Posture Recognition Product and Solutions
    • 2.3.4 PoseNet Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.3.5 PoseNet Recent Developments and Future Plans
  • 2.4 ChivaCare
    • 2.4.1 ChivaCare Details
    • 2.4.2 ChivaCare Major Business
    • 2.4.3 ChivaCare Automatic Human Posture Recognition Product and Solutions
    • 2.4.4 ChivaCare Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.4.5 ChivaCare Recent Developments and Future Plans
  • 2.5 Sensor Medica
    • 2.5.1 Sensor Medica Details
    • 2.5.2 Sensor Medica Major Business
    • 2.5.3 Sensor Medica Automatic Human Posture Recognition Product and Solutions
    • 2.5.4 Sensor Medica Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.5.5 Sensor Medica Recent Developments and Future Plans
  • 2.6 APECS
    • 2.6.1 APECS Details
    • 2.6.2 APECS Major Business
    • 2.6.3 APECS Automatic Human Posture Recognition Product and Solutions
    • 2.6.4 APECS Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.6.5 APECS Recent Developments and Future Plans
  • 2.7 DCpose
    • 2.7.1 DCpose Details
    • 2.7.2 DCpose Major Business
    • 2.7.3 DCpose Automatic Human Posture Recognition Product and Solutions
    • 2.7.4 DCpose Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.7.5 DCpose Recent Developments and Future Plans
  • 2.8 Yugamiru Cloud
    • 2.8.1 Yugamiru Cloud Details
    • 2.8.2 Yugamiru Cloud Major Business
    • 2.8.3 Yugamiru Cloud Automatic Human Posture Recognition Product and Solutions
    • 2.8.4 Yugamiru Cloud Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.8.5 Yugamiru Cloud Recent Developments and Future Plans
  • 2.9 Egoscue
    • 2.9.1 Egoscue Details
    • 2.9.2 Egoscue Major Business
    • 2.9.3 Egoscue Automatic Human Posture Recognition Product and Solutions
    • 2.9.4 Egoscue Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.9.5 Egoscue Recent Developments and Future Plans
  • 2.10 ErgoMaster - NexGen Ergonomics
    • 2.10.1 ErgoMaster - NexGen Ergonomics Details
    • 2.10.2 ErgoMaster - NexGen Ergonomics Major Business
    • 2.10.3 ErgoMaster - NexGen Ergonomics Automatic Human Posture Recognition Product and Solutions
    • 2.10.4 ErgoMaster - NexGen Ergonomics Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.10.5 ErgoMaster - NexGen Ergonomics Recent Developments and Future Plans
  • 2.11 ProtoKinetics
    • 2.11.1 ProtoKinetics Details
    • 2.11.2 ProtoKinetics Major Business
    • 2.11.3 ProtoKinetics Automatic Human Posture Recognition Product and Solutions
    • 2.11.4 ProtoKinetics Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.11.5 ProtoKinetics Recent Developments and Future Plans
  • 2.12 PhysicalTech
    • 2.12.1 PhysicalTech Details
    • 2.12.2 PhysicalTech Major Business
    • 2.12.3 PhysicalTech Automatic Human Posture Recognition Product and Solutions
    • 2.12.4 PhysicalTech Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.12.5 PhysicalTech Recent Developments and Future Plans
  • 2.13 Bodiometer Home
    • 2.13.1 Bodiometer Home Details
    • 2.13.2 Bodiometer Home Major Business
    • 2.13.3 Bodiometer Home Automatic Human Posture Recognition Product and Solutions
    • 2.13.4 Bodiometer Home Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.13.5 Bodiometer Home Recent Developments and Future Plans
  • 2.14 PostureRay
    • 2.14.1 PostureRay Details
    • 2.14.2 PostureRay Major Business
    • 2.14.3 PostureRay Automatic Human Posture Recognition Product and Solutions
    • 2.14.4 PostureRay Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.14.5 PostureRay Recent Developments and Future Plans
  • 2.15 Tracy Dixon-Maynard
    • 2.15.1 Tracy Dixon-Maynard Details
    • 2.15.2 Tracy Dixon-Maynard Major Business
    • 2.15.3 Tracy Dixon-Maynard Automatic Human Posture Recognition Product and Solutions
    • 2.15.4 Tracy Dixon-Maynard Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.15.5 Tracy Dixon-Maynard Recent Developments and Future Plans
  • 2.16 DensePose
    • 2.16.1 DensePose Details
    • 2.16.2 DensePose Major Business
    • 2.16.3 DensePose Automatic Human Posture Recognition Product and Solutions
    • 2.16.4 DensePose Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.16.5 DensePose Recent Developments and Future Plans
  • 2.17 HighHRNet
    • 2.17.1 HighHRNet Details
    • 2.17.2 HighHRNet Major Business
    • 2.17.3 HighHRNet Automatic Human Posture Recognition Product and Solutions
    • 2.17.4 HighHRNet Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.17.5 HighHRNet Recent Developments and Future Plans
  • 2.18 AiphaPose
    • 2.18.1 AiphaPose Details
    • 2.18.2 AiphaPose Major Business
    • 2.18.3 AiphaPose Automatic Human Posture Recognition Product and Solutions
    • 2.18.4 AiphaPose Automatic Human Posture Recognition Revenue, Gross Margin and Market Share (2021-2026)
    • 2.18.5 AiphaPose Recent Developments and Future Plans

3 Market Competition, by Players

  • 3.1 Global Automatic Human Posture Recognition Revenue and Share by Players (2021-2026)
  • 3.2 Market Share Analysis (2025)
    • 3.2.1 Market Share of Automatic Human Posture Recognition by Company Revenue
    • 3.2.2 Top 3 Automatic Human Posture Recognition Players Market Share in 2025
    • 3.2.3 Top 6 Automatic Human Posture Recognition Players Market Share in 2025
  • 3.3 Automatic Human Posture Recognition Market: Overall Company Footprint Analysis
    • 3.3.1 Automatic Human Posture Recognition Market: Region Footprint
    • 3.3.2 Automatic Human Posture Recognition Market: Company Product Type Footprint
    • 3.3.3 Automatic Human Posture Recognition Market: Company Product Application Footprint
  • 3.4 New Market Entrants and Barriers to Market Entry
  • 3.5 Mergers, Acquisition, Agreements, and Collaborations

4 Market Size Segment by Type

  • 4.1 Global Automatic Human Posture Recognition Consumption Value and Market Share by Type (2021-2026)
  • 4.2 Global Automatic Human Posture Recognition Market Forecast by Type (2027-2032)

5 Market Size Segment by Application

  • 5.1 Global Automatic Human Posture Recognition Consumption Value Market Share by Application (2021-2026)
  • 5.2 Global Automatic Human Posture Recognition Market Forecast by Application (2027-2032)

6 North America

  • 6.1 North America Automatic Human Posture Recognition Consumption Value by Type (2021-2032)
  • 6.2 North America Automatic Human Posture Recognition Market Size by Application (2021-2032)
  • 6.3 North America Automatic Human Posture Recognition Market Size by Country
    • 6.3.1 North America Automatic Human Posture Recognition Consumption Value by Country (2021-2032)
    • 6.3.2 United States Automatic Human Posture Recognition Market Size and Forecast (2021-2032)
    • 6.3.3 Canada Automatic Human Posture Recognition Market Size and Forecast (2021-2032)
    • 6.3.4 Mexico Automatic Human Posture Recognition Market Size and Forecast (2021-2032)

7 Europe

  • 7.1 Europe Automatic Human Posture Recognition Consumption Value by Type (2021-2032)
  • 7.2 Europe Automatic Human Posture Recognition Consumption Value by Application (2021-2032)
  • 7.3 Europe Automatic Human Posture Recognition Market Size by Country
    • 7.3.1 Europe Automatic Human Posture Recognition Consumption Value by Country (2021-2032)
    • 7.3.2 Germany Automatic Human Posture Recognition Market Size and Forecast (2021-2032)
    • 7.3.3 France Automatic Human Posture Recognition Market Size and Forecast (2021-2032)
    • 7.3.4 United Kingdom Automatic Human Posture Recognition Market Size and Forecast (2021-2032)
    • 7.3.5 Russia Automatic Human Posture Recognition Market Size and Forecast (2021-2032)
    • 7.3.6 Italy Automatic Human Posture Recognition Market Size and Forecast (2021-2032)

8 Asia-Pacific

  • 8.1 Asia-Pacific Automatic Human Posture Recognition Consumption Value by Type (2021-2032)
  • 8.2 Asia-Pacific Automatic Human Posture Recognition Consumption Value by Application (2021-2032)
  • 8.3 Asia-Pacific Automatic Human Posture Recognition Market Size by Region
    • 8.3.1 Asia-Pacific Automatic Human Posture Recognition Consumption Value by Region (2021-2032)
    • 8.3.2 China Automatic Human Posture Recognition Market Size and Forecast (2021-2032)
    • 8.3.3 Japan Automatic Human Posture Recognition Market Size and Forecast (2021-2032)
    • 8.3.4 South Korea Automatic Human Posture Recognition Market Size and Forecast (2021-2032)
    • 8.3.5 India Automatic Human Posture Recognition Market Size and Forecast (2021-2032)
    • 8.3.6 Southeast Asia Automatic Human Posture Recognition Market Size and Forecast (2021-2032)
    • 8.3.7 Australia Automatic Human Posture Recognition Market Size and Forecast (2021-2032)

9 South America

  • 9.1 South America Automatic Human Posture Recognition Consumption Value by Type (2021-2032)
  • 9.2 South America Automatic Human Posture Recognition Consumption Value by Application (2021-2032)
  • 9.3 South America Automatic Human Posture Recognition Market Size by Country
    • 9.3.1 South America Automatic Human Posture Recognition Consumption Value by Country (2021-2032)
    • 9.3.2 Brazil Automatic Human Posture Recognition Market Size and Forecast (2021-2032)
    • 9.3.3 Argentina Automatic Human Posture Recognition Market Size and Forecast (2021-2032)

10 Middle East & Africa

  • 10.1 Middle East & Africa Automatic Human Posture Recognition Consumption Value by Type (2021-2032)
  • 10.2 Middle East & Africa Automatic Human Posture Recognition Consumption Value by Application (2021-2032)
  • 10.3 Middle East & Africa Automatic Human Posture Recognition Market Size by Country
    • 10.3.1 Middle East & Africa Automatic Human Posture Recognition Consumption Value by Country (2021-2032)
    • 10.3.2 Turkey Automatic Human Posture Recognition Market Size and Forecast (2021-2032)
    • 10.3.3 Saudi Arabia Automatic Human Posture Recognition Market Size and Forecast (2021-2032)
    • 10.3.4 UAE Automatic Human Posture Recognition Market Size and Forecast (2021-2032)

11 Market Dynamics

  • 11.1 Automatic Human Posture Recognition Market Drivers
  • 11.2 Automatic Human Posture Recognition Market Restraints
  • 11.3 Automatic Human Posture Recognition Trends Analysis
  • 11.4 Porters Five Forces Analysis
    • 11.4.1 Threat of New Entrants
    • 11.4.2 Bargaining Power of Suppliers
    • 11.4.3 Bargaining Power of Buyers
    • 11.4.4 Threat of Substitutes
    • 11.4.5 Competitive Rivalry

12 Industry Chain Analysis

  • 12.1 Automatic Human Posture Recognition Industry Chain
  • 12.2 Automatic Human Posture Recognition Upstream Analysis
  • 12.3 Automatic Human Posture Recognition Midstream Analysis
  • 12.4 Automatic Human Posture Recognition Downstream Analysis

13 Research Findings and Conclusion

    14 Appendix

    • 14.1 Methodology
    • 14.2 Research Process and Data Source

    Summary:
    Get latest Market Research Reports on Automatic Human Posture Recognition. Industry analysis & Market Report on Automatic Human Posture Recognition is a syndicated market report, published as Global Automatic Human Posture Recognition Market 2026 by Company, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of Automatic Human Posture Recognition market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.

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