Automatic Human Posture Recognition Market Size(US$)

CAGR 2026-2032
6.5%
Market Size,2032
USD 1,151
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global Automatic Human Posture Recognition market size was US$ 746 million in 2025 and is forecast to reach a readjusted size of US$ 1151 million by 2032 with a CAGR of 6.5% during the forecast period 2026-2032.
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.
The global Automatic Human Posture Recognition market is strategically segmented by company, region (country), by Type, and by Application. This report empowers stakeholders to capitalize on emerging opportunities, optimize product strategies, and outperform competitors through data-driven insights on revenue and forecasts across regions, by Type, and by Application for 2021-2032.
Market Segmentation
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Table of Contents
1 Report Overview
1.1 Study Scope
1.2 Market by Type
1.2.1 Global Market Size and Growth by Type: 2021 vs 2025 vs 2032
1.2.2 2D
1.2.3 3D
1.3 Market by Application
1.3.1 Global Market Share by Application: 2021 vs 2025 vs 2032
1.3.2 Personal
1.3.3 Commercial
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Automatic Human Posture Recognition Market Perspective (2021-2032)
2.2 Global Market Size by Region: 2021 vs 2025 vs 2032
2.3 Global Automatic Human Posture Recognition Market Share by Revenue, by Region (2021-2026)
2.4 Global Automatic Human Posture Recognition Revenue Forecast by Region (2027-2032)
2.5 Major Regions and Emerging Markets Analysis
2.5.1 North America Automatic Human Posture Recognition Market Size and Prospective (2021-2032)
2.5.2 Europe Automatic Human Posture Recognition Market Size and Prospective (2021-2032)
2.5.3 Asia-Pacific Automatic Human Posture Recognition Market Size and Prospective (2021-2032)
2.5.4 Latin America Automatic Human Posture Recognition Market Size and Prospective (2021-2032)
2.5.5 Middle East & Africa Automatic Human Posture Recognition Market Size and Prospective (2021-2032)
3 Breakdown Data by Type
3.1 Global Automatic Human Posture Recognition Historical Market Size by Type (2021-2026)
3.2 Global Automatic Human Posture Recognition Forecasted Market Size by Type (2027-2032)
3.3 Representative Players for Different Types of Automatic Human Posture Recognition
4 Breakdown Data by Application
4.1 Global Automatic Human Posture Recognition Historical Market Size by Application (2021-2026)
4.2 Global Automatic Human Posture Recognition Forecasted Market Size by Application (2027-2032)
4.3 New Sources of Growth in Automatic Human Posture Recognition Applications
5 Competitive Landscape by Players
5.1 Global Top Players by Revenue
5.1.1 Global Top Automatic Human Posture Recognition Players by Revenue (2021-2026)
5.1.2 Global Automatic Human Posture Recognition Market Share by Revenue, by Players (2021-2026)
5.2 Global Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
5.3 Players Covered: Ranking by Automatic Human Posture Recognition Revenue
5.4 Global Automatic Human Posture Recognition Market Concentration Analysis
5.4.1 Global Automatic Human Posture Recognition Market Concentration Ratio (CR5 and HHI)
5.4.2 Global Top 10 and Top 5 Companies by Automatic Human Posture Recognition Revenue in 2025
5.5 Global Key Players of Automatic Human Posture Recognition Head Offices and Areas Served
5.6 Global Key Players of Automatic Human Posture Recognition, Product and Application
5.7 Global Key Players of Automatic Human Posture Recognition, Date of Entry into This Industry
5.8 Mergers & Acquisitions, Expansion Plans
6 Region Analysis
6.1 North America Market: Players, Segments, Downstream and Major Customers
6.1.1 North America Automatic Human Posture Recognition Revenue by Company (2021-2026)
6.1.2 North America Market Size by Type
6.1.2.1 North America Automatic Human Posture Recognition Market Size by Type (2021-2026)
6.1.2.2 North America Automatic Human Posture Recognition Market Share by Type (2021-2026)
6.1.3 North America Market Size by Application
6.1.3.1 North America Automatic Human Posture Recognition Market Size by Application (2021-2026)
6.1.3.2 North America Automatic Human Posture Recognition Market Share by Application (2021-2026)
6.1.4 North America Automatic Human Posture Recognition Major Customers
6.1.5 North America Market Trends and Opportunities
6.2 Europe Market: Players, Segments, Downstream and Major Customers
6.2.1 Europe Automatic Human Posture Recognition Revenue by Company (2021-2026)
6.2.2 Europe Market Size by Type
6.2.2.1 Europe Automatic Human Posture Recognition Market Size by Type (2021-2026)
6.2.2.2 Europe Automatic Human Posture Recognition Market Share by Type (2021-2026)
6.2.3 Europe Market Size by Application
6.2.3.1 Europe Automatic Human Posture Recognition Market Size by Application (2021-2026)
6.2.3.2 Europe Automatic Human Posture Recognition Market Share by Application (2021-2026)
6.2.4 Europe Automatic Human Posture Recognition Major Customers
6.2.5 Europe Market Trends and Opportunities
6.3 Asia-Pacific Market: Players, Segments, Downstream and Major Customers
6.3.1 Asia-Pacific Automatic Human Posture Recognition Revenue by Company (2021-2026)
6.3.2 Asia-Pacific Market Size by Type
6.3.2.1 Asia-Pacific Automatic Human Posture Recognition Market Size by Type (2021-2026)
6.3.2.2 Asia-Pacific Automatic Human Posture Recognition Market Share by Type (2021-2026)
6.3.3 Asia-Pacific Market Size by Application
6.3.3.1 Asia-Pacific Automatic Human Posture Recognition Market Size by Application (2021-2026)
6.3.3.2 Asia-Pacific Automatic Human Posture Recognition Market Share by Application (2021-2026)
6.3.4 Asia-Pacific Automatic Human Posture Recognition Major Customers
6.3.5 Asia-Pacific Market Trends and Opportunities
6.4 Latin America Market: Players, Segments, Downstream and Major Customers
6.4.1 Latin America Automatic Human Posture Recognition Revenue by Company (2021-2026)
6.4.2 Latin America Market Size by Type
6.4.2.1 Latin America Automatic Human Posture Recognition Market Size by Type (2021-2026)
6.4.2.2 Latin America Automatic Human Posture Recognition Market Share by Type (2021-2026)
6.4.3 Latin America Market Size by Application
6.4.3.1 Latin America Automatic Human Posture Recognition Market Size by Application (2021-2026)
6.4.3.2 Latin America Automatic Human Posture Recognition Market Share by Application (2021-2026)
6.4.4 Latin America Automatic Human Posture Recognition Major Customers
6.4.5 Latin America Market Trends and Opportunities
6.5 Middle East & Africa Market: Players, Segments, Downstream and Major Customers
6.5.1 Middle East & Africa Automatic Human Posture Recognition Revenue by Company (2021-2026)
6.5.2 Middle East & Africa Market Size by Type
6.5.2.1 Middle East & Africa Automatic Human Posture Recognition Market Size by Type (2021-2026)
6.5.2.2 Middle East & Africa Automatic Human Posture Recognition Market Share by Type (2021-2026)
6.5.3 Middle East & Africa Market Size by Application
6.5.3.1 Middle East & Africa Automatic Human Posture Recognition Market Size by Application (2021-2026)
6.5.3.2 Middle East & Africa Automatic Human Posture Recognition Market Share by Application (2021-2026)
6.5.4 Middle East & Africa Automatic Human Posture Recognition Major Customers
6.5.5 Middle East & Africa Market Trends and Opportunities
7 Key Player Profiles
7.1 OpenPose
7.1.1 OpenPose Company Details
7.1.2 OpenPose Business Overview
7.1.3 OpenPose Automatic Human Posture Recognition Introduction
7.1.4 OpenPose Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.1.5 OpenPose Recent Development
7.2 MoveNet
7.2.1 MoveNet Company Details
7.2.2 MoveNet Business Overview
7.2.3 MoveNet Automatic Human Posture Recognition Introduction
7.2.4 MoveNet Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.2.5 MoveNet Recent Development
7.3 PoseNet
7.3.1 PoseNet Company Details
7.3.2 PoseNet Business Overview
7.3.3 PoseNet Automatic Human Posture Recognition Introduction
7.3.4 PoseNet Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.3.5 PoseNet Recent Development
7.4 ChivaCare
7.4.1 ChivaCare Company Details
7.4.2 ChivaCare Business Overview
7.4.3 ChivaCare Automatic Human Posture Recognition Introduction
7.4.4 ChivaCare Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.4.5 ChivaCare Recent Development
7.5 Sensor Medica
7.5.1 Sensor Medica Company Details
7.5.2 Sensor Medica Business Overview
7.5.3 Sensor Medica Automatic Human Posture Recognition Introduction
7.5.4 Sensor Medica Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.5.5 Sensor Medica Recent Development
7.6 APECS
7.6.1 APECS Company Details
7.6.2 APECS Business Overview
7.6.3 APECS Automatic Human Posture Recognition Introduction
7.6.4 APECS Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.6.5 APECS Recent Development
7.7 DCpose
7.7.1 DCpose Company Details
7.7.2 DCpose Business Overview
7.7.3 DCpose Automatic Human Posture Recognition Introduction
7.7.4 DCpose Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.7.5 DCpose Recent Development
7.8 Yugamiru Cloud
7.8.1 Yugamiru Cloud Company Details
7.8.2 Yugamiru Cloud Business Overview
7.8.3 Yugamiru Cloud Automatic Human Posture Recognition Introduction
7.8.4 Yugamiru Cloud Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.8.5 Yugamiru Cloud Recent Development
7.9 Egoscue
7.9.1 Egoscue Company Details
7.9.2 Egoscue Business Overview
7.9.3 Egoscue Automatic Human Posture Recognition Introduction
7.9.4 Egoscue Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.9.5 Egoscue Recent Development
7.10 ErgoMaster - NexGen Ergonomics
7.10.1 ErgoMaster - NexGen Ergonomics Company Details
7.10.2 ErgoMaster - NexGen Ergonomics Business Overview
7.10.3 ErgoMaster - NexGen Ergonomics Automatic Human Posture Recognition Introduction
7.10.4 ErgoMaster - NexGen Ergonomics Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.10.5 ErgoMaster - NexGen Ergonomics Recent Development
7.11 ProtoKinetics
7.11.1 ProtoKinetics Company Details
7.11.2 ProtoKinetics Business Overview
7.11.3 ProtoKinetics Automatic Human Posture Recognition Introduction
7.11.4 ProtoKinetics Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.11.5 ProtoKinetics Recent Development
7.12 PhysicalTech
7.12.1 PhysicalTech Company Details
7.12.2 PhysicalTech Business Overview
7.12.3 PhysicalTech Automatic Human Posture Recognition Introduction
7.12.4 PhysicalTech Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.12.5 PhysicalTech Recent Development
7.13 Bodiometer Home
7.13.1 Bodiometer Home Company Details
7.13.2 Bodiometer Home Business Overview
7.13.3 Bodiometer Home Automatic Human Posture Recognition Introduction
7.13.4 Bodiometer Home Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.13.5 Bodiometer Home Recent Development
7.14 PostureRay
7.14.1 PostureRay Company Details
7.14.2 PostureRay Business Overview
7.14.3 PostureRay Automatic Human Posture Recognition Introduction
7.14.4 PostureRay Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.14.5 PostureRay Recent Development
7.15 Tracy Dixon-Maynard
7.15.1 Tracy Dixon-Maynard Company Details
7.15.2 Tracy Dixon-Maynard Business Overview
7.15.3 Tracy Dixon-Maynard Automatic Human Posture Recognition Introduction
7.15.4 Tracy Dixon-Maynard Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.15.5 Tracy Dixon-Maynard Recent Development
7.16 DensePose
7.16.1 DensePose Company Details
7.16.2 DensePose Business Overview
7.16.3 DensePose Automatic Human Posture Recognition Introduction
7.16.4 DensePose Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.16.5 DensePose Recent Development
7.17 HighHRNet
7.17.1 HighHRNet Company Details
7.17.2 HighHRNet Business Overview
7.17.3 HighHRNet Automatic Human Posture Recognition Introduction
7.17.4 HighHRNet Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.17.5 HighHRNet Recent Development
7.18 AiphaPose
7.18.1 AiphaPose Company Details
7.18.2 AiphaPose Business Overview
7.18.3 AiphaPose Automatic Human Posture Recognition Introduction
7.18.4 AiphaPose Revenue in Automatic Human Posture Recognition Business (2021-2026)
7.18.5 AiphaPose Recent Development
8 Automatic Human Posture Recognition Market Dynamics
8.1 Automatic Human Posture Recognition Industry Trends
8.2 Automatic Human Posture Recognition Market Drivers
8.3 Automatic Human Posture Recognition Market Challenges
8.4 Automatic Human Posture Recognition Market Restraints
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
List of Figures
Related Reports
The global market for Automatic Human Posture Recognition was estimated to be worth US$ 705 million in 2024 and is forecast to a readjusted size of US$ 1089 million by 2031 with a CAGR of 6.5% during the forecast period 2025-2031.
Published Date: 2025-01-28
Pages: 127
USD 3950.00
(Single User License)
The global market for Automatic Human Posture Recognition was valued at US$ 705 million in the year 2024 and is projected to reach a revised size of US$ 1089 million by 2031, growing at a CAGR of 6.5% during the forecast period.
Published Date: 2025-01-28
Pages: 97
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The global Automatic Human Posture Recognition market size was US$ 705 million in 2024 and is forecast to a readjusted size of US$ 1089 million by 2031 with a CAGR of 6.5% during the forecast period 2025-2031.
Published Date: 2025-01-28
Pages: 104
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(Single User License)
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.
Published Date: 2026-03-08
Pages: 130
USD 3950.00
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The global Automatic Human Posture Recognition market was valued at US$ 746 million in 2025 and is anticipated to reach US$ 1151 million by 2032, at a CAGR of 6.5% from 2026 to 2032.
Published Date: 2026-03-11
Pages: 136
USD 2900.00
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The global Automatic Human Posture Recognition market is projected to grow from US$ 746 million in 2025 to US$ 1151 million by 2032, at a CAGR of 6.5% (2026-2032), driven by critical product segments and diverse end‑use applications.
Published Date: 2026-03-11
Pages: 148
USD 4900.00
(Single User License)
The global market for Automatic Human Posture Recognition was estimated to be worth US$ 705 million in 2024 and is forecast to a readjusted size of US$ 1089 million by 2031 with a CAGR of 6.5% during the forecast period 2025-2031.
Published: 2025-01-28
Pages: 127
The global market for Automatic Human Posture Recognition was valued at US$ 705 million in the year 2024 and is projected to reach a revised size of US$ 1089 million by 2031, growing at a CAGR of 6.5% during the forecast period.
Published: 2025-01-28
Pages: 97
The global Automatic Human Posture Recognition market size was US$ 705 million in 2024 and is forecast to a readjusted size of US$ 1089 million by 2031 with a CAGR of 6.5% during the forecast period 2025-2031.
Published: 2025-01-28
Pages: 104
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.
Published: 2026-03-08
Pages: 130
The global Automatic Human Posture Recognition market was valued at US$ 746 million in 2025 and is anticipated to reach US$ 1151 million by 2032, at a CAGR of 6.5% from 2026 to 2032.
Published: 2026-03-11
Pages: 136
The global Automatic Human Posture Recognition market is projected to grow from US$ 746 million in 2025 to US$ 1151 million by 2032, at a CAGR of 6.5% (2026-2032), driven by critical product segments and diverse end‑use applications.
Published: 2026-03-11
Pages: 148
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