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Global Automatic Human Posture Recognition Market Research Report 2026

Global Automatic Human Posture Recognition Market Research Report 2026

Industry: Service & Software

Published Date: 2026-03-11

Pages: 136 Pages

Report ld: 5549773

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Automatic Human Posture Recognition Market Size(US$)

den_QYR1
cagr

CAGR 2026-2032

6.5%

marketSize

Market Size,2032

USD 1,151

Million

Market Snapshot

Market Size in 2026 (Value)
US$ 789 million
Market Forecast in 2032(Value)
US$ 1,151 million
CAGR
6.5%
Years Considered
2021-2032
Base Year
2026
Forecast Period
2026-2032

Source: Secondary research, interviews with experts, and QYResearch analysis

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.

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 delivers a comprehensive overview of the global Automatic Human Posture Recognition market, with both quantitative and qualitative analyses, to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current market, and make informed business decisions regarding Automatic Human Posture Recognition. The Automatic Human Posture Recognition market size, estimates, and forecasts are provided in terms of revenue (US$ millions), with 2025 as the base year and historical and forecast data for 2021–2032.

The report segments the global Automatic Human Posture Recognition market comprehensively. Regional market sizes by Type, by Application, by Model, and by player are also provided. For deeper insight, the report profiles the competitive landscape, key competitors, and their respective market rankings, and discusses technological trends and new product developments.

This report will assist Automatic Human Posture Recognition manufacturers, new entrants, and companies across the industry value chain with information on revenues, sales volume, and average prices for the overall market and its sub-segments, by company, by Type, by Application, and by region.

Market Segmentation

By Company

  • 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

Consumption 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

Segment by Type

  • 2D
  • 3D

Segment by Application

  • Personal
  • Commercial

Segment by Category

  • Real-time Human Pose Estimation
  • Offline / High-precision Pose Estimation

Segment by Division

  • Single-person Pose Estimation
  • Multi-person Pose Estimation

biaoTi Chapter Outline

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Chapter 1: Defines the scope of the report and presents an executive summary of market segments (by Type, by Application, by Model, etc.), including the size of each segment and its future growth potential. It offers a high-level view of the current market and its likely evolution in the short, medium, and long term.

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Chapter 2: Summarizes global and regional market size and outlines market dynamics and recent developments, including key drivers, restraints, challenges and risks for industry participants, and relevant policy analysis.

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Chapter 3: Provides a detailed view of the competitive landscape for Automatic Human Posture Recognition companies, covering revenue share, development plans, and mergers and acquisitions.

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Chapter 4: Analyzes segments by Type, detailing the size and growth potential of each segment to help readers identify blue-ocean opportunities.

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Chapter 5: Analyzes segments by Application, detailing the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.

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Chapter 6–10: Regional deep dives (North America, Europe, Asia Pacific, Latin America, Middle East & Africa) broken down by country. Each chapter quantifies market size and growth potential by region and key countries, and outlines market development, outlook, addressable space, and capacity.

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Chapter 11: Profiles key players, presenting essential information on leading companies, including product/ service offerings, revenue, gross margin, product introductions/portfolios, recent developments, etc.

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Chapter 12: Key findings and conclusions of the report.

biaoTi QYResearch's Strengths

Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:

Market entry risks/opportunities by region
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We identify regional market threats and growth prospects to guide your overseas layout.

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Product mix optimization based on local practices
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Competitor tactics in fragmented vs. consolidated markets
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We unpack rivals’ operation strategies for scattered and highly concentrated industries.

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Full Research Coverage

We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.

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We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.

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Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.

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Table of Contents

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1 Report Overview

1.1 Study Scope

1.2 Market Analysis by Type

1.2.1 Global Automatic Human Posture Recognition Market Size Growth Rate by Type: 2021 vs 2025 vs 2032

1.2.2 2D

1.2.3 3D

1.3 Market by Model

1.3.1 Global Automatic Human Posture Recognition Market Size Growth Rate by Model: 2021 vs 2025 vs 2032

1.3.2 Real-time Human Pose Estimation

1.3.3 Offline / High-precision Pose Estimation

1.4 Market by Quantity

1.4.1 Global Automatic Human Posture Recognition Market Size Growth Rate by Quantity: 2021 vs 2025 vs 2032

1.4.2 Single-person Pose Estimation

1.4.3 Multi-person Pose Estimation

1.5 Market by Application

1.5.1 Global Automatic Human Posture Recognition Market Growth by Application: 2021 vs 2025 vs 2032

1.5.2 Personal

1.5.3 Commercial

1.6 Assumptions and Limitations

1.7 Study Objectives

1.8 Years Considered

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2 Global Growth Trends

2.1 Global Automatic Human Posture Recognition Market Perspective (2021–2032)

2.2 Global Automatic Human Posture Recognition Growth Trends by Region

2.2.1 Global Automatic Human Posture Recognition Market Size by Region: 2021 vs 2025 vs 2032

2.2.2 Automatic Human Posture Recognition Historic Market Size by Region (2021–2026)

2.2.3 Automatic Human Posture Recognition Forecasted Market Size by Region (2027–2032)

2.3 Automatic Human Posture Recognition Market Dynamics

2.3.1 Automatic Human Posture Recognition Industry Trends

2.3.2 Automatic Human Posture Recognition Market Drivers

2.3.3 Automatic Human Posture Recognition Market Challenges

2.3.4 Automatic Human Posture Recognition Market Restraints

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3 Competition Landscape by Key Players

3.1 Global Top Automatic Human Posture Recognition Players by Revenue

3.1.1 Global Top Automatic Human Posture Recognition Players by Revenue (2021–2026)

3.1.2 Global Automatic Human Posture Recognition Revenue Market Share by Players (2021–2026)

3.2 Global Top Automatic Human Posture Recognition Players Market Share by Company Tier (Tier 1, Tier 2, Tier 3)

3.3 Global Key Players Ranking by Automatic Human Posture Recognition Revenue

3.4 Global Automatic Human Posture Recognition Market Concentration Ratio

3.4.1 Global Automatic Human Posture Recognition Market Concentration Ratio (CR5 and HHI)

3.4.2 Global Top 10 and Top 5 Companies by Automatic Human Posture Recognition Revenue in 2025

3.5 Global Key Players of Automatic Human Posture Recognition Head Offices and Areas Served

3.6 Global Key Players of Automatic Human Posture Recognition, Products and Applications

3.7 Global Key Players of Automatic Human Posture Recognition, Date of General Availability (GA)

3.8 Mergers and Acquisitions, Expansion Plans

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4 Automatic Human Posture Recognition Breakdown Data by Type

4.1 Global Automatic Human Posture Recognition Historic Market Size by Type (2021–2026)

4.2 Global Automatic Human Posture Recognition Forecasted Market Size by Type (2027–2032)

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5 Automatic Human Posture Recognition Breakdown Data by Application

5.1 Global Automatic Human Posture Recognition Historic Market Size by Application (2021–2026)

5.2 Global Automatic Human Posture Recognition Forecasted Market Size by Application (2027–2032)

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6 North America

6.1 North America Automatic Human Posture Recognition Market Size (2021–2032)

6.2 North America Automatic Human Posture Recognition Market Growth Rate by Country: 2021 vs 2025 vs 2032

6.3 North America Automatic Human Posture Recognition Market Size by Country (2021–2026)

6.4 North America Automatic Human Posture Recognition Market Size by Country (2027–2032)

6.5 United States

6.6 Canada

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7 Europe

7.1 Europe Automatic Human Posture Recognition Market Size (2021–2032)

7.2 Europe Automatic Human Posture Recognition Market Growth Rate by Country: 2021 vs 2025 vs 2032

7.3 Europe Automatic Human Posture Recognition Market Size by Country (2021–2026)

7.4 Europe Automatic Human Posture Recognition Market Size by Country (2027–2032)

7.5 Germany

7.6 France

7.7 U.K.

7.8 Italy

7.9 Russia

7.10 Ireland

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8 Asia-Pacific

8.1 Asia-Pacific Automatic Human Posture Recognition Market Size (2021–2032)

8.2 Asia-Pacific Automatic Human Posture Recognition Market Growth Rate by Region: 2021 vs 2025 vs 2032

8.3 Asia-Pacific Automatic Human Posture Recognition Market Size by Region (2021–2026)

8.4 Asia-Pacific Automatic Human Posture Recognition Market Size by Region (2027–2032)

8.5 China

8.6 Japan

8.7 South Korea

8.8 Southeast Asia

8.9 India

8.10 Australia & New Zealand

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9 Latin America

9.1 Latin America Automatic Human Posture Recognition Market Size (2021–2032)

9.2 Latin America Automatic Human Posture Recognition Market Growth Rate by Country: 2021 vs 2025 vs 2032

9.3 Latin America Automatic Human Posture Recognition Market Size by Country (2021–2026)

9.4 Latin America Automatic Human Posture Recognition Market Size by Country (2027–2032)

9.5 Mexico

9.6 Brazil

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10 Middle East & Africa

10.1 Middle East & Africa Automatic Human Posture Recognition Market Size (2021–2032)

10.2 Middle East & Africa Automatic Human Posture Recognition Market Growth Rate by Country: 2021 vs 2025 vs 2032

10.3 Middle East & Africa Automatic Human Posture Recognition Market Size by Country (2021–2026)

10.4 Middle East & Africa Automatic Human Posture Recognition Market Size by Country (2027–2032)

10.5 Israel

10.6 Saudi Arabia

10.7 UAE

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11 Key Players Profiles

11.1 OpenPose

11.1.1 OpenPose Company Details

11.1.2 OpenPose Business Overview

11.1.3 OpenPose Automatic Human Posture Recognition Introduction

11.1.4 OpenPose Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.1.5 OpenPose Recent Development

11.2 MoveNet

11.2.1 MoveNet Company Details

11.2.2 MoveNet Business Overview

11.2.3 MoveNet Automatic Human Posture Recognition Introduction

11.2.4 MoveNet Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.2.5 MoveNet Recent Development

11.3 PoseNet

11.3.1 PoseNet Company Details

11.3.2 PoseNet Business Overview

11.3.3 PoseNet Automatic Human Posture Recognition Introduction

11.3.4 PoseNet Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.3.5 PoseNet Recent Development

11.4 ChivaCare

11.4.1 ChivaCare Company Details

11.4.2 ChivaCare Business Overview

11.4.3 ChivaCare Automatic Human Posture Recognition Introduction

11.4.4 ChivaCare Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.4.5 ChivaCare Recent Development

11.5 Sensor Medica

11.5.1 Sensor Medica Company Details

11.5.2 Sensor Medica Business Overview

11.5.3 Sensor Medica Automatic Human Posture Recognition Introduction

11.5.4 Sensor Medica Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.5.5 Sensor Medica Recent Development

11.6 APECS

11.6.1 APECS Company Details

11.6.2 APECS Business Overview

11.6.3 APECS Automatic Human Posture Recognition Introduction

11.6.4 APECS Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.6.5 APECS Recent Development

11.7 DCpose

11.7.1 DCpose Company Details

11.7.2 DCpose Business Overview

11.7.3 DCpose Automatic Human Posture Recognition Introduction

11.7.4 DCpose Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.7.5 DCpose Recent Development

11.8 Yugamiru Cloud

11.8.1 Yugamiru Cloud Company Details

11.8.2 Yugamiru Cloud Business Overview

11.8.3 Yugamiru Cloud Automatic Human Posture Recognition Introduction

11.8.4 Yugamiru Cloud Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.8.5 Yugamiru Cloud Recent Development

11.9 Egoscue

11.9.1 Egoscue Company Details

11.9.2 Egoscue Business Overview

11.9.3 Egoscue Automatic Human Posture Recognition Introduction

11.9.4 Egoscue Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.9.5 Egoscue Recent Development

11.10 ErgoMaster - NexGen Ergonomics

11.10.1 ErgoMaster - NexGen Ergonomics Company Details

11.10.2 ErgoMaster - NexGen Ergonomics Business Overview

11.10.3 ErgoMaster - NexGen Ergonomics Automatic Human Posture Recognition Introduction

11.10.4 ErgoMaster - NexGen Ergonomics Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.10.5 ErgoMaster - NexGen Ergonomics Recent Development

11.11 ProtoKinetics

11.11.1 ProtoKinetics Company Details

11.11.2 ProtoKinetics Business Overview

11.11.3 ProtoKinetics Automatic Human Posture Recognition Introduction

11.11.4 ProtoKinetics Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.11.5 ProtoKinetics Recent Development

11.12 PhysicalTech

11.12.1 PhysicalTech Company Details

11.12.2 PhysicalTech Business Overview

11.12.3 PhysicalTech Automatic Human Posture Recognition Introduction

11.12.4 PhysicalTech Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.12.5 PhysicalTech Recent Development

11.13 Bodiometer Home

11.13.1 Bodiometer Home Company Details

11.13.2 Bodiometer Home Business Overview

11.13.3 Bodiometer Home Automatic Human Posture Recognition Introduction

11.13.4 Bodiometer Home Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.13.5 Bodiometer Home Recent Development

11.14 PostureRay

11.14.1 PostureRay Company Details

11.14.2 PostureRay Business Overview

11.14.3 PostureRay Automatic Human Posture Recognition Introduction

11.14.4 PostureRay Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.14.5 PostureRay Recent Development

11.15 Tracy Dixon-Maynard

11.15.1 Tracy Dixon-Maynard Company Details

11.15.2 Tracy Dixon-Maynard Business Overview

11.15.3 Tracy Dixon-Maynard Automatic Human Posture Recognition Introduction

11.15.4 Tracy Dixon-Maynard Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.15.5 Tracy Dixon-Maynard Recent Development

11.16 DensePose

11.16.1 DensePose Company Details

11.16.2 DensePose Business Overview

11.16.3 DensePose Automatic Human Posture Recognition Introduction

11.16.4 DensePose Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.16.5 DensePose Recent Development

11.17 HighHRNet

11.17.1 HighHRNet Company Details

11.17.2 HighHRNet Business Overview

11.17.3 HighHRNet Automatic Human Posture Recognition Introduction

11.17.4 HighHRNet Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.17.5 HighHRNet Recent Development

11.18 AiphaPose

11.18.1 AiphaPose Company Details

11.18.2 AiphaPose Business Overview

11.18.3 AiphaPose Automatic Human Posture Recognition Introduction

11.18.4 AiphaPose Revenue in Automatic Human Posture Recognition Business (2021–2026)

11.18.5 AiphaPose Recent Development

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12 Analyst's Viewpoints/Conclusions

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13 Appendix

13.1 Research Methodology

13.1.1 Methodology/Research Approach

13.1.1.1 Research Programs/Design

13.1.1.2 Market Size Estimation

13.1.1.3 Market Breakdown and Data Triangulation

13.1.2 Data Source

13.1.2.1 Secondary Sources

13.1.2.2 Primary Sources

13.2 Author Details

13.3 Disclaimer

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Table of Figures

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List of Tables

Table 1. Global Automatic Human Posture Recognition Market Size Growth Rate by Type (US$ Million): 2021 vs 2025 vs 2032
Table 2. Key Players of 2D
Table 3. Key Players of 3D
Table 4. Global Automatic Human Posture Recognition Market Size Growth Rate by Model (US$ Million): 2021 vs 2025 vs 2032
Table 5. Key Players of Real-time Human Pose Estimation
Table 6. Key Players of Offline / High-precision Pose Estimation
Table 7. Global Automatic Human Posture Recognition Market Size Growth Rate by Quantity (US$ Million): 2021 vs 2025 vs 2032
Table 8. Key Players of Single-person Pose Estimation
Table 9. Key Players of Multi-person Pose Estimation
Table 10. Global Automatic Human Posture Recognition Market Size Growth by Application (US$ Million): 2021 vs 2025 vs 2032
Table 11. Global Automatic Human Posture Recognition Market Size by Region (US$ Million): 2021 vs 2025 vs 2032
Table 12. Global Automatic Human Posture Recognition Market Size by Region (US$ Million), 2021–2026
Table 13. Global Automatic Human Posture Recognition Market Share by Region (2021–2026)
Table 14. Global Automatic Human Posture Recognition Forecasted Market Size by Region (US$ Million), 2027–2032
Table 15. Global Automatic Human Posture Recognition Market Share by Region (2027–2032)
Table 16. Automatic Human Posture Recognition Market Trends
Table 17. Automatic Human Posture Recognition Market Drivers
Table 18. Automatic Human Posture Recognition Market Challenges
Table 19. Automatic Human Posture Recognition Market Restraints
Table 20. Global Automatic Human Posture Recognition Revenue by Players (US$ Million), 2021–2026
Table 21. Global Automatic Human Posture Recognition Market Share by Players (2021–2026)
Table 22. Global Top Automatic Human Posture Recognition Players by Tier (Tier 1, Tier 2, and Tier 3), based on Automatic Human Posture Recognition Revenue, 2025
Table 23. Ranking of Global Top Automatic Human Posture Recognition Companies by Revenue (US$ Million) in 2025
Table 24. Global 5 Largest Players Market Share by Automatic Human Posture Recognition Revenue (CR5 and HHI), 2021–2026
Table 25. Global Key Players of Automatic Human Posture Recognition, Headquarters and Area Served
Table 26. Global Key Players of Automatic Human Posture Recognition, Products and Applications
Table 27. Global Key Players of Automatic Human Posture Recognition, Date of General Availability (GA)
Table 28. Mergers and Acquisitions, Expansion Plans
Table 29. Global Automatic Human Posture Recognition Market Size by Type (US$ Million), 2021–2026
Table 30. Global Automatic Human Posture Recognition Revenue Market Share by Type (2021–2026)
Table 31. Global Automatic Human Posture Recognition Forecasted Market Size by Type (US$ Million), 2027–2032
Table 32. Global Automatic Human Posture Recognition Revenue Market Share by Type (2027–2032)
Table 33. Global Automatic Human Posture Recognition Market Size by Application (US$ Million), 2021–2026
Table 34. Global Automatic Human Posture Recognition Revenue Market Share by Application (2021–2026)
Table 35. Global Automatic Human Posture Recognition Forecasted Market Size by Application (US$ Million), 2027–2032
Table 36. Global Automatic Human Posture Recognition Revenue Market Share by Application (2027–2032)
Table 37. North America Automatic Human Posture Recognition Market Size Growth Rate by Country (US$ Million): 2021 vs 2025 vs 2032
Table 38. North America Automatic Human Posture Recognition Market Size by Country (US$ Million), 2021–2026
Table 39. North America Automatic Human Posture Recognition Market Size by Country (US$ Million), 2027–2032
Table 40. Europe Automatic Human Posture Recognition Market Size Growth Rate by Country (US$ Million): 2021 vs 2025 vs 2032
Table 41. Europe Automatic Human Posture Recognition Market Size by Country (US$ Million), 2021–2026
Table 42. Europe Automatic Human Posture Recognition Market Size by Country (US$ Million), 2027–2032
Table 43. Asia-Pacific Automatic Human Posture Recognition Market Size Growth Rate by Region (US$ Million): 2021 vs 2025 vs 2032
Table 44. Asia-Pacific Automatic Human Posture Recognition Market Size by Region (US$ Million), 2021–2026
Table 45. Asia-Pacific Automatic Human Posture Recognition Market Size by Region (US$ Million), 2027–2032
Table 46. Latin America Automatic Human Posture Recognition Market Size Growth Rate by Country (US$ Million): 2021 vs 2025 vs 2032
Table 47. Latin America Automatic Human Posture Recognition Market Size by Country (US$ Million), 2021–2026
Table 48. Latin America Automatic Human Posture Recognition Market Size by Country (US$ Million), 2027–2032
Table 49. Middle East & Africa Automatic Human Posture Recognition Market Size Growth Rate by Country (US$ Million): 2021 vs 2025 vs 2032
Table 50. Middle East & Africa Automatic Human Posture Recognition Market Size by Country (US$ Million), 2021–2026
Table 51. Middle East & Africa Automatic Human Posture Recognition Market Size by Country (US$ Million), 2027–2032
Table 52. OpenPose Company Details
Table 53. OpenPose Business Overview
Table 54. OpenPose Automatic Human Posture Recognition Product
Table 55. OpenPose Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 56. OpenPose Recent Development
Table 57. MoveNet Company Details
Table 58. MoveNet Business Overview
Table 59. MoveNet Automatic Human Posture Recognition Product
Table 60. MoveNet Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 61. MoveNet Recent Development
Table 62. PoseNet Company Details
Table 63. PoseNet Business Overview
Table 64. PoseNet Automatic Human Posture Recognition Product
Table 65. PoseNet Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 66. PoseNet Recent Development
Table 67. ChivaCare Company Details
Table 68. ChivaCare Business Overview
Table 69. ChivaCare Automatic Human Posture Recognition Product
Table 70. ChivaCare Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 71. ChivaCare Recent Development
Table 72. Sensor Medica Company Details
Table 73. Sensor Medica Business Overview
Table 74. Sensor Medica Automatic Human Posture Recognition Product
Table 75. Sensor Medica Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 76. Sensor Medica Recent Development
Table 77. APECS Company Details
Table 78. APECS Business Overview
Table 79. APECS Automatic Human Posture Recognition Product
Table 80. APECS Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 81. APECS Recent Development
Table 82. DCpose Company Details
Table 83. DCpose Business Overview
Table 84. DCpose Automatic Human Posture Recognition Product
Table 85. DCpose Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 86. DCpose Recent Development
Table 87. Yugamiru Cloud Company Details
Table 88. Yugamiru Cloud Business Overview
Table 89. Yugamiru Cloud Automatic Human Posture Recognition Product
Table 90. Yugamiru Cloud Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 91. Yugamiru Cloud Recent Development
Table 92. Egoscue Company Details
Table 93. Egoscue Business Overview
Table 94. Egoscue Automatic Human Posture Recognition Product
Table 95. Egoscue Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 96. Egoscue Recent Development
Table 97. ErgoMaster - NexGen Ergonomics Company Details
Table 98. ErgoMaster - NexGen Ergonomics Business Overview
Table 99. ErgoMaster - NexGen Ergonomics Automatic Human Posture Recognition Product
Table 100. ErgoMaster - NexGen Ergonomics Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 101. ErgoMaster - NexGen Ergonomics Recent Development
Table 102. ProtoKinetics Company Details
Table 103. ProtoKinetics Business Overview
Table 104. ProtoKinetics Automatic Human Posture Recognition Product
Table 105. ProtoKinetics Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 106. ProtoKinetics Recent Development
Table 107. PhysicalTech Company Details
Table 108. PhysicalTech Business Overview
Table 109. PhysicalTech Automatic Human Posture Recognition Product
Table 110. PhysicalTech Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 111. PhysicalTech Recent Development
Table 112. Bodiometer Home Company Details
Table 113. Bodiometer Home Business Overview
Table 114. Bodiometer Home Automatic Human Posture Recognition Product
Table 115. Bodiometer Home Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 116. Bodiometer Home Recent Development
Table 117. PostureRay Company Details
Table 118. PostureRay Business Overview
Table 119. PostureRay Automatic Human Posture Recognition Product
Table 120. PostureRay Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 121. PostureRay Recent Development
Table 122. Tracy Dixon-Maynard Company Details
Table 123. Tracy Dixon-Maynard Business Overview
Table 124. Tracy Dixon-Maynard Automatic Human Posture Recognition Product
Table 125. Tracy Dixon-Maynard Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 126. Tracy Dixon-Maynard Recent Development
Table 127. DensePose Company Details
Table 128. DensePose Business Overview
Table 129. DensePose Automatic Human Posture Recognition Product
Table 130. DensePose Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 131. DensePose Recent Development
Table 132. HighHRNet Company Details
Table 133. HighHRNet Business Overview
Table 134. HighHRNet Automatic Human Posture Recognition Product
Table 135. HighHRNet Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 136. HighHRNet Recent Development
Table 137. AiphaPose Company Details
Table 138. AiphaPose Business Overview
Table 139. AiphaPose Automatic Human Posture Recognition Product
Table 140. AiphaPose Revenue in Automatic Human Posture Recognition Business (US$ Million), 2021–2026
Table 141. AiphaPose Recent Development
Table 142. Research Programs/Design for This Report
Table 143. Key Data Information from Secondary Sources
Table 144. Key Data Information from Primary Sources
Table 145. Authors List of This Report
muLu

List of Figures

Figure 1. Automatic Human Posture Recognition Picture
Figure 2. Global Automatic Human Posture Recognition Market Size Comparison by Type (US$ Million), 2021–2032
Figure 3. Global Automatic Human Posture Recognition Market Share by Type: 2025 vs 2032
Figure 4. 2D Features
Figure 5. 3D Features
Figure 6. Global Automatic Human Posture Recognition Market Size Comparison by Model (US$ Million), 2021–2032
Figure 7. Real-time Human Pose Estimation Features
Figure 8. Offline / High-precision Pose Estimation Features
Figure 9. Global Automatic Human Posture Recognition Market Size Comparison by Quantity (US$ Million), 2021–2032
Figure 10. Single-person Pose Estimation Features
Figure 11. Multi-person Pose Estimation Features
Figure 12. Global Automatic Human Posture Recognition Market Size by Application (US$ Million), 2021–2032
Figure 13. Global Automatic Human Posture Recognition Market Share by Application: 2025 vs 2032
Figure 14. Personal Case Studies
Figure 15. Commercial Case Studies
Figure 16. Automatic Human Posture Recognition Report Years Considered
Figure 17. Global Automatic Human Posture Recognition Market Size (US$ Million), Year-over-Year: 2021–2032
Figure 18. Global Automatic Human Posture Recognition Market Size, (US$ Million), 2021 vs 2025 vs 2032
Figure 19. Global Automatic Human Posture Recognition Market Share by Region: 2025 vs 2032
Figure 20. Global Automatic Human Posture Recognition Market Share by Players in 2025
Figure 21. Global Automatic Human Posture Recognition Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
Figure 22. The Top 10 and 5 Players Market Share by Automatic Human Posture Recognition Revenue in 2025
Figure 23. North America Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 24. North America Automatic Human Posture Recognition Market Share by Country (2021–2032)
Figure 25. United States Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 26. Canada Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 27. Europe Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 28. Europe Automatic Human Posture Recognition Market Share by Country (2021–2032)
Figure 29. Germany Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 30. France Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 31. U.K. Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 32. Italy Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 33. Russia Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 34. Ireland Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 35. Asia-Pacific Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 36. Asia-Pacific Automatic Human Posture Recognition Market Share by Region (2021–2032)
Figure 37. China Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 38. Japan Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 39. South Korea Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 40. Southeast Asia Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 41. India Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 42. Australia & New Zealand Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 43. Latin America Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 44. Latin America Automatic Human Posture Recognition Market Share by Country (2021–2032)
Figure 45. Mexico Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 46. Brazil Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 47. Middle East & Africa Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 48. Middle East & Africa Automatic Human Posture Recognition Market Share by Country (2021–2032)
Figure 49. Israel Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 50. Saudi Arabia Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 51. UAE Automatic Human Posture Recognition Market Size YoY Growth (US$ Million), 2021–2032
Figure 52. OpenPose Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 53. MoveNet Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 54. PoseNet Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 55. ChivaCare Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 56. Sensor Medica Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 57. APECS Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 58. DCpose Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 59. Yugamiru Cloud Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 60. Egoscue Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 61. ErgoMaster - NexGen Ergonomics Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 62. ProtoKinetics Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 63. PhysicalTech Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 64. Bodiometer Home Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 65. PostureRay Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 66. Tracy Dixon-Maynard Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 67. DensePose Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 68. HighHRNet Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 69. AiphaPose Revenue Growth Rate in Automatic Human Posture Recognition Business (2021–2026)
Figure 70. Bottom-up and Top-down Approaches for This Report
Figure 71. Data Triangulation
Figure 72. Key Executives Interviewed
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Global Automatic Human Posture Recognition Market Research Report 2026

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Published Date: 2026-03-11

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