Asia Pacific Social Robots Market Size, Trends and Insights By Component (Hardware, Software, Services), By Technology (Machine Learning, Computer Vision, Context Awareness, Natural Language Processing), By End Use Industry (Healthcare & Pharmaceutical, Education, Media and Entertainment, Consumer Goods & Retail, Electrical and Electronics, Automotive, Others), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033
Reports Description
The Asia Pacific Social Robots Market was valued at USD 6,425.7 million in 2024 and is expected to reach USD 53,180.9 million by 2033, at a CAGR of 27.76% from 2024 to 2033.
Social Robots interact with Humans and other robots through social skills and behaviors. They possess various social interactive capabilities, such as verbal and nonverbal communication and social etiquette. Social robots can do various social interactive jobs, such as motivating, coaching, educating, criticizing, giving feedback, social support, and dialogues.
Asia Pacific Social Robots Market: Growth Factors
The Increasing Demand for Social Robots from Healthcare Applications
The demand for social robots is increasing in the healthcare and pharmaceutical industries due to the increasing geriatric population, growing healthcare awareness, and technological advancements in the robotics industry. The demand for social robots is mainly increasing in hospitals due to their ability to assist medical professionals and surgeons in patient care treatments and surgical procedures.
Social robots are used in healthcare to gather patient data, analyse and interpret disease patterns, and suggest treatments. They directly contact and interact with patients for collective primary information and enquire about diseases, which reduces human contact and thereby decreases the chances of infections.
Social robots communicate with patients to reduce social loneliness and provide emotional and psychological support, increasing their adaption in hospitals and psychological treatment centers.
The growing usage of social robots in performing minimally invasive surgeries, reducing infections, and increasing surgical accuracy, precision, and flexibility is expected to boost their adaptation to the healthcare industry.
Furthermore, factors such as the increasing adaptation of emerging technologies, the rising investment in research and development activities, the growing emphasis on healthcare awareness programs, and the growing usage of social robots to perform surgeries in remote locations are expected to drive the market growth of social robots during the forecast period.
Rising Demand for Social Robots in Consumer Goods and Retail Industry
The rising demand for social robots in the consumer goods and retail industry to interact with customers, transform customer experiences, and streamline operations is expected to boost the market growth of the Asia Pacific Social robots market during the forecast period.
Social robots interact with consumers in the retail and consumer goods industry to seek feedback, collect data and analytics, and provide retailers with valuable insights to enhance personalized customer experiences and optimize inventory management.
These capabilities are critical for data-driven decision-making in retail environments. Social robots perform various functions in the retail industry, such as scanning and tracking inventory, checking price tags, replenishing store shelves, and doing many other supplementary jobs. These functions are, in turn, boosting the usage and implementation of social robots across the retail and consumer goods industry.
Furthermore, the growing adoption of social robots in the e-commerce industry for material handling, effective supply chain management, enhanced operational efficiency, and product packaging is expected to drive the demand for social robots across the globe. For instance, Amazon, an E-commerce platform, reduced the number of workers and cut operating expenses by 20%. Thus, the factors above are expected to drive the adoption of Social robots globally.
Asia Pacific Social Robots Market: Restraints
High Initial Investment and Stringent Regulations
The implementation and adaptation of social robots require a huge initial investment. These social robots are costly because they require high costs, specialized expertise, and better internet and digital infrastructure connectivity. The operations and processes related to social robotics are run on advanced technologies and well-established digital infrastructure.
The initial investment required to implement robots is costly, and ongoing maintenance costs can also add up quickly because it requires technical skills and expertise, such as programming, maintenance, and troubleshooting. The absence of skilled professionals and the high wages of these skilled professionals enhance the overall implementation and operational cost of social robots, thereby reducing the implementation across developing and underdeveloped countries.
Implementing social robots across many end-use industries can create potential job displacement and re-engineering issues, which in turn create concerns about job security, especially for workers whose skills are no longer needed due to task automation. Cybersecurity-related issues also create challenges in the adoption and integration of social robots.
Social robots run on various emerging technologies and digital practices. These practices create large chunks of data, thereby creating cybersecurity risk. Social robots and emerging technologies are more vulnerable to cyber-attacks, leading to significant data breaches and financial losses. Thus, the abovementioned factors are expected to restrain the market’s growth.
Asia Pacific Social Robots Market: Opportunity
The growing integration of Social Robots in the Automotive and Educational end use applications
The growing usage of social robots in various end-use applications, such as automotive and educational end-use applications, is expected to create lucrative opportunities for the market during the forecast period. In automotive applications, social robots conduct various tasks such as car scanning, seatbelt inspection, quality control, assembly line inspection, wheel alignment, driving tests, and labeling labels onto vehicles.
As a result, automotive manufacturers and social robot vendors are forming collaborations by expanding their product lines. For instance, UBTECH, a Shenzhen-based robotics firm, and Chinese electric carmaker NIO collaborate to advance China’s humanoid robot industry rapidly.
Many research and educational institutes use social robotics for teaching and experimental purposes. The integration of social robots in educational institutes has the potential to revolutionize future education systems. Social robots provide personalized learning experiences, enhance student engagement and motivation, and provide customized teaching experiences. They can also teach languages and skills. Social robots also assist in mitigating educational disparities by reaching remote areas with limited access to quality education.
Many educational institutes use social robots to teach students languages and communication skills. Conversations, role-playing scenarios, pronunciation exercises, and interactive dialogues with students’ social robots allow them to practice speaking and listening in a foreign language. Thus, the growing integration of social robots in educational and automotive applications is expected to create lucrative opportunities for the market during the forecast period.
Asia Pacific Social Robots Market: Segmentation Analysis
The Asia Pacific social robots market includes component, technology, end user, and region segments. Component divides the market into hardware, software, and services. The hardware segment dominated the global social robots market and is expected to maintain its dominance during the forecast period.
Various hardware components, such as body parts of electrical and electronics components, actuators, generators, control systems, sensors, electronic control units, torso (body and arms), microcontroller/firmware, and electrical and mechanical components, are mainly used in social robotics operations.
These hardware-based social robotics components are mainly used in medical, healthcare, electronic, retail, and consumer goods applications. Their lower operational costs and growing adaption in various end-use applications are mainly driving their adaption across the region.
The software component segment is expected to grow at the fastest CAGR during the forecast period, owing to the growing integration of social robots in healthcare and automotive applications.
Software-based social robots perform various functions, such as controlling the robot’s basic functions and managing hardware resources, promoting the promotional integral derivative controllers, integrating data from multiple sensors to provide a more comprehensive understanding of the robot’s environment and determining the optimal path for the robot, and facilitating communication between the robot and human operators.
By technology, the machine learning technology segment held the highest market share in 2023 and is expected to keep its dominance during the forecast period owing to the growing integration of machine learning technologies to improve robots’ intelligence and autonomy. Machine learning technologies are integrated into social robots to enhance computer vision, imitation learning, self-supervisory learning, and assistive medical technologies.
Furthermore, social robots driven by machine learning are used in hospitals for micro-surgeries such as unclogging blood vessels because machine learning algorithms enable social robots to detect anomalies, predict maintenance needs, enhance overall productivity, provide rehabilitation support, and deliver personalized care.
The computer vision technology segment is expected to grow at the fastest CAGR during the forecast period. Computer vision-integrated robots interpret visual data using advanced AI models similar to human vision. Computer vision-enabled social robots are used for various applications, such as autonomous navigation, object detection, gesture and human pose recognition, and facial and emotion recognition.
By end use industry, the healthcare segment dominated the Asia Pacific social robots market in 2023 and is expected to continue dominating during the forecast period owing to growing investment by private companies and governments across the region in the healthcare industry.
The growing implementation of social robots in hospitals, clinics, and surgical centers to support and help people and the increasing development of social robots in many surgical centers to perform many invasive surgeries and reduce errors are some of the factors expected to drive the market growth of this segment during the forecast period.
Many hospitals are implementing social robots to help elderly people with tasks like timely medication delivery. Various factors, such as growing research and development activities in the medical field and increasing collaboration between healthcare facilities and social robot developers, are expected to create lucrative opportunities for the market during the forecast period.
The consumer goods and retail end-use industry is expected to grow at the fastest CAGR during the forecast period owing to the growing implementation of social robots in the retail industry to perform inventory management, customer services, staff alerts, order processing, and storekeeping. Furthermore, growing investment in the retail and consumer sector, rising disposable income, changing lifestyle, and growing penetration of the E-commerce sector in the consumer goods and retail industry are some of the factors propelling the market growth of this segment during the forecast period.
Report Scope
Feature of the Report | Details |
Market Size in 2024 | USD 6,425.7 Million |
Projected Market Size in 2033 | USD 53,180.9 Million |
Market Size in 2023 | USD 3,670 Million |
CAGR Growth Rate | 27.76% CAGR |
Base Year | 2023 |
Forecast Period | 2024-2033 |
Key Segment | By Component, Technology, End Use Industry and Region |
Report Coverage | Revenue Estimation and Forecast, Company Profile, Competitive Landscape, Growth Factors and Recent Trends |
Region Scope | Asia Pacific |
Buying Options | Request tailored purchasing options to fulfil your research requirements. |
Asia Pacific Social Robots Market: Regional Analysis
The Asia Pacific social robots market is segmented by region into China, India, Japan, ASEAN, South Korea, and the Rest of APAC. Among all these, China dominated the Asia Pacific social robots market and is expected to maintain its dominance during the forecast period.
Various factors, such as growing investment in emerging technologies, well-established end-use industries, supportive government policies, the availability of skilled expertise, and the rapidly growing senior population in the country, are mainly driving the growth of the Chinese social robot market. China is the world’s leading installer of social robots, accounting for 55% of all new installations in 2023.
Some of the factors propelling the market growth during the forecast period are a robust technological base, strong policy support, an excellent robotics manufacturing foundation, a well-established industrial chain, technological capability, and a growing demand for social robots in a wide range of industrial applications. China’s automotive industry is the largest in the world, which is also a boon to Chinese robotic adoption, as the auto industry is a major purchaser of industrial robots.
List of the prominent players in the Asia Pacific Social Robots Market:
- AlterG Inc.
- ABB Limited
- Kiva Systems
- Toshiba Corporation
- Kuka AG
- Singapore Technologies Engineering Ltd
- InVia Robotics Inc.
- Fanuc Corporation
- Honeywell International Inc.
- Bionik Laboratories Corp.
- Blue Frog Robotics SAS
- Blue Ocean Robotics ApS
- Embodied Inc.
- Furhat Robotics AB
- Haapie SAS
- Intuition Robotics Ltd.
- Knightscope Inc.
- Motorika USA Inc.
- MOVIA Robotics Inc.
- SoftBank Robotics
- Others
The Asia Pacific Social Robots Market is segmented as follows:
By Component
- Hardware
- Software
- Services
By Technology
- Machine Learning
- Computer Vision
- Context Awareness
- Natural Language Processing
By End Use Industry
- Healthcare & Pharmaceutical
- Education
- Media and Entertainment
- Consumer Goods & Retail
- Electrical and Electronics
- Automotive
- Others
Regional Coverage:
Asia Pacific
- China
- Japan
- India
- New Zealand
- Australia
- South Korea
- Taiwan
- Rest of Asia Pacific
Table of Contents
- Chapter 1. Preface
- 1.1 Report Description and Scope
- 1.2 Research scope
- 1.3 Research methodology
- 1.3.1 Market Research Type
- 1.3.2 Market Research Methodology
- Chapter 2. Executive Summary
- 2.1 Asia Pacific Social Robots Market (2024 – 2033) (USD Million)
- 2.2 Asia Pacific Social Robots Market: snapshot
- Chapter 3. Asia Pacific Social Robots Market – Industry Analysis
- 3.1 Asia Pacific Social Robots Market: Market Dynamics
- 3.2 Market Drivers
- 3.2.1 The Increasing Demand for Social Robots from Healthcare Applications
- 3.2.2 Rising Demand for Social Robots in Consumer Goods and Retail Industry
- 3.3 Market Restraints
- 3.4 Market Opportunities
- 3.5 Market Challenges
- 3.6 Porter’s Five Forces Analysis
- 3.7 Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Component
- 3.7.2 Market Attractiveness Analysis By Technology
- 3.7.3 Market Attractiveness Analysis By End Use Industry
- Chapter 4. Asia Pacific Social Robots Market- Competitive Landscape
- 4.1 Company market share analysis
- 4.1.1 Asia Pacific Social Robots Market: Company Market Share, 2023
- 4.2 Strategic development
- 4.2.1 Acquisitions & mergers
- 4.2.2 New Product launches
- 4.2.3 Agreements, partnerships, collaboration, and joint ventures
- 4.2.4 Research and development and Regional expansion
- 4.3 Price trend analysis
- 4.1 Company market share analysis
- Chapter 5. Asia Pacific Social Robots Market – Component Analysis
- 5.1 Asia Pacific Social Robots Market Overview: By Component
- 5.1.1 Asia Pacific Social Robots Market Share, By Component, 2023 and 2033
- 5.2 Hardware
- 5.2.1 Asia Pacific Social Robots Market by Hardware, 2024 – 2033 (USD Million)
- 5.3 Software
- 5.3.1 Asia Pacific Social Robots Market by Software, 2024 – 2033 (USD Million)
- 5.4 Services
- 5.4.1 Asia Pacific Social Robots Market by Services, 2024 – 2033 (USD Million)
- 5.1 Asia Pacific Social Robots Market Overview: By Component
- Chapter 6. Asia Pacific Social Robots Market – Technology Analysis
- 6.1 Asia Pacific Social Robots Market Overview: By Technology
- 6.1.1 Asia Pacific Social Robots Market Share, By Technology, 2023 and 2033
- 6.2 Machine Learning
- 6.2.1 Asia Pacific Social Robots Market by Machine Learning, 2024 – 2033 (USD Million)
- 6.3 Computer Vision
- 6.3.1 Asia Pacific Social Robots Market by Computer Vision, 2024 – 2033 (USD Million)
- 6.4 Context Awareness
- 6.4.1 Asia Pacific Social Robots Market by Context Awareness, 2024 – 2033 (USD Million)
- 6.5 Natural Language Processing
- 6.5.1 Asia Pacific Social Robots Market by Natural Language Processing, 2024 – 2033 (USD Million)
- 6.1 Asia Pacific Social Robots Market Overview: By Technology
- Chapter 7. Asia Pacific Social Robots Market – End Use Industry Analysis
- 7.1 Asia Pacific Social Robots Market Overview: By End Use Industry
- 7.1.1 Asia Pacific Social Robots Market Share, By End Use Industry, 2023 and 2033
- 7.2 Healthcare & Pharmaceutical
- 7.2.1 Asia Pacific Social Robots Market by Healthcare & Pharmaceutical, 2024 – 2033 (USD Million)
- 7.3 Education
- 7.3.1 Asia Pacific Social Robots Market by Education, 2024 – 2033 (USD Million)
- 7.4 Media and Entertainment
- 7.4.1 Asia Pacific Social Robots Market by Media and Entertainment, 2024 – 2033 (USD Million)
- 7.5 Consumer Goods & Retail
- 7.5.1 Asia Pacific Social Robots Market by Consumer Goods & Retail, 2024 – 2033 (USD Million)
- 7.6 Electrical and Electronics
- 7.6.1 Asia Pacific Social Robots Market by Electrical and Electronics, 2024 – 2033 (USD Million)
- 7.7 Automotive
- 7.7.1 Asia Pacific Social Robots Market by Automotive, 2024 – 2033 (USD Million)
- 7.8 Others
- 7.8.1 Asia Pacific Social Robots Market by Others, 2024 – 2033 (USD Million)
- 7.1 Asia Pacific Social Robots Market Overview: By End Use Industry
- Chapter 8. Asia Pacific Social Robots Market – Regional Analysis
- 8.1 Asia Pacific Social Robots Market Regional Overview
- 8.2 Asia Pacific Social Robots Market Share, by Region, 2023 & 2033 (USD Million)
- 8.3. Asia Pacific
- 8.3.1 Asia Pacific Asia Pacific Social Robots Market, 2024 – 2033 (USD Million)
- 8.3.1.1 Asia Pacific Asia Pacific Social Robots Market, by Country, 2024 – 2033 (USD Million)
- 8.3.1 Asia Pacific Asia Pacific Social Robots Market, 2024 – 2033 (USD Million)
- 8.4 Asia Pacific Asia Pacific Social Robots Market, by Component, 2024 – 2033
- 8.4.1 Asia Pacific Asia Pacific Social Robots Market, by Component, 2024 – 2033 (USD Million)
- 8.5 Asia Pacific Asia Pacific Social Robots Market, by Technology, 2024 – 2033
- 8.5.1 Asia Pacific Asia Pacific Social Robots Market, by Technology, 2024 – 2033 (USD Million)
- 8.6 Asia Pacific Asia Pacific Social Robots Market, by End Use Industry, 2024 – 2033
- 8.6.1 Asia Pacific Asia Pacific Social Robots Market, by End Use Industry, 2024 – 2033 (USD Million)
- Chapter 9. Company Profiles
- 9.1 AlterG Inc.
- 9.1.1 Overview
- 9.1.2 Financials
- 9.1.3 Product Portfolio
- 9.1.4 Business Strategy
- 9.1.5 Recent Developments
- 9.2 ABB Limited
- 9.2.1 Overview
- 9.2.2 Financials
- 9.2.3 Product Portfolio
- 9.2.4 Business Strategy
- 9.2.5 Recent Developments
- 9.3 Kiva Systems
- 9.3.1 Overview
- 9.3.2 Financials
- 9.3.3 Product Portfolio
- 9.3.4 Business Strategy
- 9.3.5 Recent Developments
- 9.4 Toshiba Corporation
- 9.4.1 Overview
- 9.4.2 Financials
- 9.4.3 Product Portfolio
- 9.4.4 Business Strategy
- 9.4.5 Recent Developments
- 9.5 Kuka AG
- 9.5.1 Overview
- 9.5.2 Financials
- 9.5.3 Product Portfolio
- 9.5.4 Business Strategy
- 9.5.5 Recent Developments
- 9.6 Singapore Technologies Engineering Ltd
- 9.6.1 Overview
- 9.6.2 Financials
- 9.6.3 Product Portfolio
- 9.6.4 Business Strategy
- 9.6.5 Recent Developments
- 9.7 InVia Robotics Inc.
- 9.7.1 Overview
- 9.7.2 Financials
- 9.7.3 Product Portfolio
- 9.7.4 Business Strategy
- 9.7.5 Recent Developments
- 9.8 Fanuc Corporation
- 9.8.1 Overview
- 9.8.2 Financials
- 9.8.3 Product Portfolio
- 9.8.4 Business Strategy
- 9.8.5 Recent Developments
- 9.9 Honeywell International Inc.
- 9.9.1 Overview
- 9.9.2 Financials
- 9.9.3 Product Portfolio
- 9.9.4 Business Strategy
- 9.9.5 Recent Developments
- 9.10 Bionik Laboratories Corp.
- 9.10.1 Overview
- 9.10.2 Financials
- 9.10.3 Product Portfolio
- 9.10.4 Business Strategy
- 9.10.5 Recent Developments
- 9.11 Blue Frog Robotics SAS
- 9.11.1 Overview
- 9.11.2 Financials
- 9.11.3 Product Portfolio
- 9.11.4 Business Strategy
- 9.11.5 Recent Developments
- 9.12 Blue Ocean Robotics ApS
- 9.12.1 Overview
- 9.12.2 Financials
- 9.12.3 Product Portfolio
- 9.12.4 Business Strategy
- 9.12.5 Recent Developments
- 9.13 Embodied Inc.
- 9.13.1 Overview
- 9.13.2 Financials
- 9.13.3 Product Portfolio
- 9.13.4 Business Strategy
- 9.13.5 Recent Developments
- 9.14 Furhat Robotics AB
- 9.14.1 Overview
- 9.14.2 Financials
- 9.14.3 Product Portfolio
- 9.14.4 Business Strategy
- 9.14.5 Recent Developments
- 9.15 Haapie SAS
- 9.15.1 Overview
- 9.15.2 Financials
- 9.15.3 Product Portfolio
- 9.15.4 Business Strategy
- 9.15.5 Recent Developments
- 9.16 Intuition Robotics Ltd.
- 9.16.1 Overview
- 9.16.2 Financials
- 9.16.3 Product Portfolio
- 9.16.4 Business Strategy
- 9.16.5 Recent Developments
- 9.17 Knightscope Inc.
- 9.17.1 Overview
- 9.17.2 Financials
- 9.17.3 Product Portfolio
- 9.17.4 Business Strategy
- 9.17.5 Recent Developments
- 9.18 Motorika USA Inc.
- 9.18.1 Overview
- 9.18.2 Financials
- 9.18.3 Product Portfolio
- 9.18.4 Business Strategy
- 9.18.5 Recent Developments
- 9.19 MOVIA Robotics Inc.
- 9.19.1 Overview
- 9.19.2 Financials
- 9.19.3 Product Portfolio
- 9.19.4 Business Strategy
- 9.19.5 Recent Developments
- 9.20 SoftBank Robotics
- 9.20.1 Overview
- 9.20.2 Financials
- 9.20.3 Product Portfolio
- 9.20.4 Business Strategy
- 9.20.5 Recent Developments
- 9.21 Others.
- 9.21.1 Overview
- 9.21.2 Financials
- 9.21.3 Product Portfolio
- 9.21.4 Business Strategy
- 9.21.5 Recent Developments
- 9.1 AlterG Inc.
List Of Figures
Figures No 1 to 26
List Of Tables
Tables No 1 to 5
Report Methodology
In order to get the most precise estimates and forecasts possible, Custom Market Insights applies a detailed and adaptive research methodology centered on reducing deviations. For segregating and assessing quantitative aspects of the market, the company uses a combination of top-down and bottom-up approaches. Furthermore, data triangulation, which examines the market from three different aspects, is a recurring theme in all of our research reports. The following are critical components of the methodology used in all of our studies:
Preliminary Data Mining
On a broad scale, raw market information is retrieved and compiled. Data is constantly screened to make sure that only substantiated and verified sources are taken into account. Furthermore, data is mined from a plethora of reports in our archive and also a number of reputed & reliable paid databases. To gain a detailed understanding of the business, it is necessary to know the entire product life cycle and to facilitate this, we gather data from different suppliers, distributors, and buyers.
Surveys, technological conferences, and trade magazines are used to identify technical issues and trends. Technical data is also gathered from the standpoint of intellectual property, with a focus on freedom of movement and white space. The dynamics of the industry in terms of drivers, restraints, and valuation trends are also gathered. As a result, the content created contains a diverse range of original data, which is then cross-validated and verified with published sources.
Statistical Model
Simulation models are used to generate our business estimates and forecasts. For each study, a one-of-a-kind model is created. Data gathered for market dynamics, the digital landscape, development services, and valuation patterns are fed into the prototype and analyzed concurrently. These factors are compared, and their effect over the projected timeline is quantified using correlation, regression, and statistical modeling. Market forecasting is accomplished through the use of a combination of economic techniques, technical analysis, industry experience, and domain knowledge.
Short-term forecasting is typically done with econometric models, while long-term forecasting is done with technological market models. These are based on a synthesis of the technological environment, legal frameworks, economic outlook, and business regulations. Bottom-up market evaluation is favored, with crucial regional markets reviewed as distinct entities and data integration to acquire worldwide estimates. This is essential for gaining a thorough knowledge of the industry and ensuring that errors are kept to a minimum.
Some of the variables taken into account for forecasting are as follows:
• Industry drivers and constraints, as well as their current and projected impact
• The raw material case, as well as supply-versus-price trends
• Current volume and projected volume growth through 2033
We allocate weights to these variables and use weighted average analysis to determine the estimated market growth rate.
Primary Validation
This is the final step in our report’s estimating and forecasting process. Extensive primary interviews are carried out, both in-person and over the phone, to validate our findings and the assumptions that led to them.
Leading companies from across the supply chain, including suppliers, technology companies, subject matter experts, and buyers, use techniques like interviewing to ensure a comprehensive and non-biased overview of the business. These interviews are conducted all over the world, with the help of local staff and translators, to overcome language barriers.
Primary interviews not only aid with data validation, but also offer additional important insight into the industry, existing business scenario, and future projections, thereby improving the quality of our reports.
All of our estimates and forecasts are validated through extensive research work with key industry participants (KIPs), which typically include:
• Market leaders
• Suppliers of raw materials
• Suppliers of raw materials
• Buyers.
The following are the primary research objectives:
• To ensure the accuracy and acceptability of our data.
• Gaining an understanding of the current market and future projections.
Data Collection Matrix
Perspective | Primary research | Secondary research |
Supply-side |
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Demand-side |
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Market Analysis Matrix
Qualitative analysis | Quantitative analysis |
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Prominent Player
- AlterG Inc.
- ABB Limited
- Kiva Systems
- Toshiba Corporation
- Kuka AG
- Singapore Technologies Engineering Ltd
- InVia Robotics Inc.
- Fanuc Corporation
- Honeywell International Inc.
- Bionik Laboratories Corp.
- Blue Frog Robotics SAS
- Blue Ocean Robotics ApS
- Embodied Inc.
- Furhat Robotics AB
- Haapie SAS
- Intuition Robotics Ltd.
- Knightscope Inc.
- Motorika USA Inc.
- MOVIA Robotics Inc.
- SoftBank Robotics
- Others
FAQs
The growing demand for social robots in the end use applications and increasing research and development activities in the social robotics segment.
The “Machine Learning” category dominated the market in 2023.
The key players in the market are AlterG Inc., ABB Limited , Kiva Systems, Toshiba Corporation , Kuka AG, Singapore Technologies Engineering Ltd, InVia Robotics Inc., Fanuc Corporation, Honeywell International Inc. , Bionik Laboratories Corp., Blue Frog Robotics SAS, Blue Ocean Robotics ApS, Embodied Inc., Furhat Robotics AB, Haapie SAS, Intuition Robotics Ltd., Knightscope Inc., Motorika USA Inc., MOVIA Robotics Inc., SoftBank Robotics, Others.
The market is projected to grow at a CAGR of 27.76% during the forecast period, 2024-2033.
The Asia Pacific Social Robots Market size was valued at USD 6,425.7 Million in 2024.