Global Automatic Human Posture Recognition Market Research Report 2025

Publication ID:

PB502255726

Publication Date:

February 10, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

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.
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.
This report aims to provide a comprehensive presentation of the global market for Automatic Human Posture Recognition, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Automatic Human Posture Recognition.
The Automatic Human Posture Recognition market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Automatic Human Posture Recognition market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Automatic Human Posture Recognition companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
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
Segment by Type
Kinematic Model
Plane Model
Block Model
Segment by Application
Personal
Commercial
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, 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: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Automatic Human Posture Recognition company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size 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 market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

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: 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 Automatic Human Posture Recognition Market Growth 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 Automatic Human Posture Recognition Growth Trends by Region
2.2.1 Global Automatic Human Posture Recognition Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Automatic Human Posture Recognition Historic Market Size by Region (2020-2025)
2.2.3 Automatic Human Posture Recognition Forecasted Market Size by Region (2026-2031)
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
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 (2020-2025)
3.1.2 Global Automatic Human Posture Recognition Revenue Market Share by Players (2020-2025)
3.2 Global Top Automatic Human Posture Recognition Players by Company Type and Market Share by Company Type (Tier 1, Tier 2, and 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 2024
3.5 Global Key Players of Automatic Human Posture Recognition Head office and Area Served
3.6 Global Key Players of Automatic Human Posture Recognition, Product and Application
3.7 Global Key Players of Automatic Human Posture Recognition, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Automatic Human Posture Recognition Breakdown Data by Type
4.1 Global Automatic Human Posture Recognition Historic Market Size by Type (2020-2025)
4.2 Global Automatic Human Posture Recognition Forecasted Market Size by Type (2026-2031)
5 Automatic Human Posture Recognition Breakdown Data by Application
5.1 Global Automatic Human Posture Recognition Historic Market Size by Application (2020-2025)
5.2 Global Automatic Human Posture Recognition Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Automatic Human Posture Recognition Market Size (2020-2031)
6.2 North America Automatic Human Posture Recognition Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Automatic Human Posture Recognition Market Size by Country (2020-2025)
6.4 North America Automatic Human Posture Recognition Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Automatic Human Posture Recognition Market Size (2020-2031)
7.2 Europe Automatic Human Posture Recognition Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Automatic Human Posture Recognition Market Size by Country (2020-2025)
7.4 Europe Automatic Human Posture Recognition Market Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Automatic Human Posture Recognition Market Size (2020-2031)
8.2 Asia-Pacific Automatic Human Posture Recognition Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Automatic Human Posture Recognition Market Size by Region (2020-2025)
8.4 Asia-Pacific Automatic Human Posture Recognition Market Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Automatic Human Posture Recognition Market Size (2020-2031)
9.2 Latin America Automatic Human Posture Recognition Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Automatic Human Posture Recognition Market Size by Country (2020-2025)
9.4 Latin America Automatic Human Posture Recognition Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Automatic Human Posture Recognition Market Size (2020-2031)
10.2 Middle East & Africa Automatic Human Posture Recognition Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Automatic Human Posture Recognition Market Size by Country (2020-2025)
10.4 Middle East & Africa Automatic Human Posture Recognition Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
11.18.5 AiphaPose Recent Development
12 Analyst's Viewpoints/Conclusions
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

Companies Mentioned:

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

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