Automatic Human Posture Recognition Market Size(US$)

CAGR 2025-2031
6.5%
Market Size,2031
USD 1,089
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
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.
Human posture analysis software is a software system with important application value. It can automatically identify and analyze human posture, movements, expressions, etc. through computer vision technology.
With the continuous development of information technology, the software industry has become an industry full of vitality and opportunities. Software has penetrated into every aspect of our life and work. From smartphone APPs to enterprise-level software systems, software has become an important part of our modern life. In the future, the development trend of the software industry will continue to develop in the direction of digitization, intelligence and cloudification. With the continuous development and application of technologies such as the Internet of Things and artificial intelligence, the software industry will enter a new era.
The global Automatic Human Posture Recognition market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Automatic Human Posture Recognition market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on sales, revenue and forecast by region (country), by Type and by Application for the period 2020-2031.
Market Segmentation
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, and by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Revenue of Automatic Human Posture Recognition in global, regional level and country level. It provides a quantitative analysis of the market size and development potential of each region.
Chapter 3: Detailed analysis of Automatic Human Posture Recognition manufacturers competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Region analysis by company, by Type, by Application, revenue for each segment.
Chapter 7: Provides profiles of key manufacturers, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Automatic Human Posture Recognition revenue, gross margin, and recent development, etc.
Chapter 8: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 9: The main points and conclusions of the report.
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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 Growth by Type: 2020 VS 2024 VS 2031
1.2.2 Kinematic Model
1.2.3 Plane Model
1.2.4 Block Model
1.3 Market by Application
1.3.1 Global Market Share by Application: 2020 VS 2024 VS 2031
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 (2020-2031)
2.2 Global Market Size by Region: 2020 VS 2024 VS 2031
2.3 Global Automatic Human Posture Recognition Revenue Market Share by Region (2020-2025)
2.4 Global Automatic Human Posture Recognition Revenue Forecast by Region (2026-2031)
2.5 Major Region and Emerging Market Analysis
2.5.1 North America Automatic Human Posture Recognition Market Size and Prospective (2020-2031)
2.5.2 Europe Automatic Human Posture Recognition Market Size and Prospective (2020-2031)
2.5.3 Asia-Pacific Automatic Human Posture Recognition Market Size and Prospective (2020-2031)
2.5.4 Latin America Automatic Human Posture Recognition Market Size and Prospective (2020-2031)
2.5.5 Middle East & Africa Automatic Human Posture Recognition Market Size and Prospective (2020-2031)
3 Breakdown Data by Type
3.1 Global Automatic Human Posture Recognition Historic Market Size by Type (2020-2025)
3.2 Global Automatic Human Posture Recognition Forecasted Market Size by Type (2026-2031)
3.3 Different Types Automatic Human Posture Recognition Representative Players
4 Breakdown Data by Application
4.1 Global Automatic Human Posture Recognition Historic Market Size by Application (2020-2025)
4.2 Global Automatic Human Posture Recognition Forecasted Market Size by Application (2026-2031)
4.3 New Sources of Growth in Automatic Human Posture Recognition Application
5 Competition Landscape by Players
5.1 Global Top Players by Revenue
5.1.1 Global Top Automatic Human Posture Recognition Players by Revenue (2020-2025)
5.1.2 Global Automatic Human Posture Recognition Revenue Market Share by Players (2020-2025)
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 2024
5.5 Global Key Players of Automatic Human Posture Recognition Head office and Area 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 Enter into This Industry
5.8 Mergers & Acquisitions, Expansion Plans
6 Region Analysis
6.1 North America Market: Players, Segments and Downstream
6.1.1 North America Automatic Human Posture Recognition Revenue by Company (2020-2025)
6.1.2 North America Market Size by Type
6.1.2.1 North America Automatic Human Posture Recognition Market Size by Type (2020-2025)
6.1.2.2 North America Automatic Human Posture Recognition Market Share by Type (2020-2025)
6.1.3 North America Market Size by Application
6.1.3.1 North America Automatic Human Posture Recognition Market Size by Application (2020-2025)
6.1.3.2 North America Automatic Human Posture Recognition Market Share by Application (2020-2025)
6.1.4 North America Market Trend and Opportunities
6.2 Europe Market: Players, Segments and Downstream
6.2.1 Europe Automatic Human Posture Recognition Revenue by Company (2020-2025)
6.2.2 Europe Market Size by Type
6.2.2.1 Europe Automatic Human Posture Recognition Market Size by Type (2020-2025)
6.2.2.2 Europe Automatic Human Posture Recognition Market Share by Type (2020-2025)
6.2.3 Europe Market Size by Application
6.2.3.1 Europe Automatic Human Posture Recognition Market Size by Application (2020-2025)
6.2.3.2 Europe Automatic Human Posture Recognition Market Share by Application (2020-2025)
6.2.4 Europe Market Trend and Opportunities
6.3 Asia-Pacific Market: Players, Segments and Downstream
6.3.1 Asia-Pacific Automatic Human Posture Recognition Revenue by Company (2020-2025)
6.3.2 Asia-Pacific Market Size by Type
6.3.2.1 Asia-Pacific Automatic Human Posture Recognition Market Size by Type (2020-2025)
6.3.2.2 Asia-Pacific Automatic Human Posture Recognition Market Share by Type (2020-2025)
6.3.3 Asia-Pacific Market Size by Application
6.3.3.1 Asia-Pacific Automatic Human Posture Recognition Market Size by Application (2020-2025)
6.3.3.2 Asia-Pacific Automatic Human Posture Recognition Market Share by Application (2020-2025)
6.3.4 Asia-Pacific Market Trend and Opportunities
6.4 Latin America Market: Players, Segments and Downstream
6.4.1 Latin America Automatic Human Posture Recognition Revenue by Company (2020-2025)
6.4.2 Latin America Market Size by Type
6.4.2.1 Latin America Automatic Human Posture Recognition Market Size by Type (2020-2025)
6.4.2.2 Latin America Automatic Human Posture Recognition Market Share by Type (2020-2025)
6.4.3 Latin America Market Size by Application
6.4.3.1 Latin America Automatic Human Posture Recognition Market Size by Application (2020-2025)
6.4.3.2 Latin America Automatic Human Posture Recognition Market Share by Application (2020-2025)
6.4.4 Latin America Market Trend and Opportunities
6.5 Middle East & Africa Market: Players, Segments and Downstream
6.5.1 Middle East & Africa Automatic Human Posture Recognition Revenue by Company (2020-2025)
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 (2020-2025)
6.5.2.2 Middle East & Africa Automatic Human Posture Recognition Market Share by Type (2020-2025)
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 (2020-2025)
6.5.3.2 Middle East & Africa Automatic Human Posture Recognition Market Share by Application (2020-2025)
6.5.4 Middle East & Africa Market Trend and Opportunities
7 Key Players 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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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
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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.
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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.
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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.
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Published Date: 2026-03-11
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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
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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 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 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.
Published: 2026-03-11
Pages: 110
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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