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Social Robots - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026-2031)

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    Report

  • 137 Pages
  • August 2026
  • Region: Global
  • Mordor Intelligence
  • ID: 5120156
The social robots market size is expected to grow from USD 7.93 billion in 2025 to USD 10.4 billion in 2026 and is forecast to reach USD 40.23 billion by 2031 at 31.1% CAGR over 2026-2031. This report is Segmented by Product Type (Humanoid Robots, Animal-like/Companion Robots, and More), Component (Hardware, Software, and Services), Mobility (Stationary, Mobile - Wheeled, and Mobile - Legged/Other), End-User Vertical (Healthcare, Education, Entertainment and Media, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD), Based On Availability.

Global Social Robots Market Trends and Insights

Accelerating AI and NLP Breakthroughs Enhancing Human-Robot Interaction

Transformer-based language models now sit on-device or on secure edge servers, allowing sub-400 millisecond response times that make conversation feel fluid and spontaneous. Multi-modal fusion engines combine verbal content with facial-action-coding data to gauge user sentiment, driving context-appropriate gestures, lighting cues, or posture adjustments. Field pilots of Intuition Robotics’ ElliQ platform average more than 30 daily interactions per user, demonstrating sustained engagement in older-adult populations. Software-defined behaviour also slashes localization costs because new languages can be added through cloud-deployed speech-to-text modules rather than hardware swaps. These capabilities enlarge the social robots market by unlocking billable features such as real-time emotional coaching, fall-risk alerts, and family-caregiver dashboards.

Growing Elder-Care Demand Amid Global Ageing Demographics

Japan’s population aged 65 and older reached 36.25 million in 2024. Similar demographic curves unfold across Germany, Italy, and South Korea, stretching human caregiver supply and public health budgets. Government agencies now frame socially assistive robots as core infrastructure for “aging in place” programs that reduce skilled-nursing-facility admissions. A multi-prefecture initiative in Japan offers capital subsidies of up to JPY 500,000 (USD 3,350) per unit for approved elder-care robots, accelerating deployments in residential facilities. Pilot data show 95% of participants report lower loneliness scores after three months of robot companionship. These results reinforce policymakers' confidence and trigger follow-on orders, broadening the social robots market beyond urban centers to rural clinics and home-care networks.

Algorithmic Bias and Ethical Concerns Surrounding Anthropomorphic Interaction

Regulators note that speech-recognition accuracy can drop when robots engage users with accented English, potentially curbing access to health-advice modules. The European Commission’s AI Act adds risk-classification rules requiring proven safeguards for robots performing social-assistance roles. Developers now embed on-device differential-privacy filters and bias-auditing pipelines, but certification costs lengthen time-to-market. In healthcare settings, informed-consent directives mandate clear disclosures about data use and emotional profiling, leading hospitals to adopt opt-in interaction modes and periodic transparency reports. Compliance overhead tempers near-term expansion, though robust governance models may ultimately boost public trust.

Other drivers and restraints analyzed in the detailed report include:

  • Rising Labor Shortages and Wage Inflation in Service Sectors
  • Government Innovation Grants and Subsidies for Robotics Adoption
  • High Capital Cost Versus Uncertain ROI for Small Enterprises

Segment Analysis

Humanoid platforms hold a 48.30% slice of the social robots market size, but the emotional resonance of pet-like form factors is steering demand toward companion designs growing at a 33.55% CAGR. Interaction studies in dementia care show animal-inspired robots elicit higher sustained attention, reducing agitation episodes by nearly 15%. Vendors exploit this finding by coupling soft-touch skins with adaptive voice-tone modulation, achieving richer affective cues without expensive servo-actuated facial arrays. Telepresence units fill remote-learning and corporate-collaboration niches where visual embodiment, not physical assistance, is the core value. The widening diversity of form factors lets integrators match robot personality to context, supporting wider penetration of the social robots market across customer-experience touchpoints.

Human-centric design shifts also influence procurement criteria. Elder-care administrators report easier resident acceptance of small, non-bipedal robots that pose no fall hazard. This acceptance reduces staff supervision time and drives repeat orders, while the open-source Buddy SDK encourages local app developers to add culturally relevant content. Collectively, these trends favor agile manufacturers whose design pipelines pivot quickly, underscoring how software modularity and cloud-update pathways now outweigh anthropomorphic fidelity when buyers evaluate options in the social robots market.

Hardware continues to generate 57.10% of the social robots market share, yet commoditized sensors and single-board computers compress margins annually. Vendors counter by introducing tiered software licenses that unlock higher-order cognitive skills such as memory-anchored conversations or autonomous navigation in crowded retail aisles. The social robots market size attributable to software subscriptions is forecast to swell rapidly, fueled by recurring revenue from syntax-update packs, language expansions, and specialized therapy modules. Meanwhile, professional services covering workflow mapping, cloud-security audits, and staff training gain prominence as mainstream customers require turnkey integration.

The migration resembles past shifts in the smartphone and industrial-robot fields: once standardized hardware stabilizes, differentiation moves to operating-system ecosystems and service wrappers. Pepper for Home 2.0 exemplifies this paradigm, embedding generative-AI chat functions behind safety guardrails to moderate content, then charging users a monthly fee for premium skill packs because software updates deliver visible functionality without physical retrofits, customer lifetime value rises, reinforcing vendor incentives to prioritize AI research over mechanical innovation.

Complete Report Scope:

  • By Product Type
    • Humanoid Robots
    • Animal-like/Companion Robots
    • Telepresence Robots
    • Other Product Types
  • By Component
    • Hardware
    • Software
    • Services
  • By Mobility
    • Stationary
    • Mobile - Wheeled
    • Mobile - Legged/Other
  • By End-User Vertical
    • Healthcare
    • Education
    • Entertainment and Media
    • Retail and Hospitality
    • Corporate and Public Sector
    • Other End-User Verticals
  • By Geography
    • North America
      • United States
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Chile
      • Rest of South America
    • Europe
      • Germany
      • United Kingdom
      • France
      • Italy
      • Spain
      • Rest of Europe
    • Asia-Pacific
      • China
      • Japan
      • South Korea
      • India
      • Singapore
      • Australia
      • Rest of Asia-Pacific
    • Middle East and Africa
      • Middle East
        • Saudi Arabia
        • United Arab Emirates
        • Turkey
        • Rest of Middle East
      • Africa
        • South Africa
        • Nigeria
        • Egypt
        • Rest of Africa

Geography Analysis

North America controls 38.20% of current revenue thanks to venture-capital depth, state innovation grants, and fast-track FDA pathways for wellness devices. New York’s statewide companionship program recorded an average of 33 daily interactions per senior and a 95% satisfaction rate, prompting other U.S. states to issue similar RFPs. The region’s privacy statutes are less stringent than GDPR, letting vendors iterate software features more rapidly, though HIPAA obligations keep medical-record modules under strict encryption and audit trails. Canada mirrors U.S. demand drivers, with provincial health ministries funding pilot fleets in remote First Nations communities to counter caregiver scarcity.

Asia-Pacific is the growth engine with a 33.78% CAGR. The Tokyo metropolitan government funds caregiver-assistant pilots that bundle robot leases with caregiver-training curricula, aiming to cut institutional staffing gaps by 10% within five years. China’s robotics clusters in Shenzhen and Suzhou deliver cost-optimized components, enabling domestic brands to price units 25% below global averages without compromising AI capabilities. South Korean telecom carriers integrate 5G edge computing into mall and airport robots, offering robot-as-a-service bundles that include data analytics dashboards.

Europe shows steady uptake balanced by a rigorous compliance culture. Hospitals in Germany deploy companion units only after passing ethical committee reviews and data protection impact assessments, extending procurement cycles but ensuring robust governance. France’s TED-i education initiative, the largest publicly funded telepresence rollout to date, validates the cost-effectiveness of remote-presence robots in mainstream schooling. Nordic elder-care systems test mobile-legged robots for winter-terrain home visits, indicating climatic factors also shape regional adoption patterns.

List of Companies Covered in this Report:

  • SoftBank Robotics Group Corp.
  • Blue Frog Robotics SAS
  • Intuition Robotics Ltd.
  • Furhat Robotics AB
  • Amy Robotics Co. Ltd.
  • Robotemi Ltd.
  • OhmniLabs Inc.
  • Hanson Robotics Ltd.
  • PAL Robotics SL
  • Wonder Workshop Inc.
  • Double Robotics Inc.
  • Pudu Robotics Inc.
  • Savioke Inc.
  • Kinova Inc.
  • Blue Ocean Robotics ApS
  • Embodied Inc.
  • Movia Robotics Inc.
  • Bionik Laboratories Corp.
  • BotsAndUs Ltd.
  • Inrobics Social Robotics SLL

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

Table of Contents

1 INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2 RESEARCH METHODOLOGY3 EXECUTIVE SUMMARY
4 MARKET LANDSCAPE
4.1 Market Overview
4.2 Market Drivers
4.2.1 Accelerating AI and NLP breakthroughs enhancing human-robot interaction
4.2.2 Growing elder-care demand amid global ageing demographics
4.2.3 Rising labour shortages and wage inflation in service sectors
4.2.4 Government innovation grants and subsidies for robotics adoption
4.2.5 Integration of social robots into mental-health therapy workflows
4.2.6 Corporate ESG commitments driving investment in socially assistive automation
4.3 Market Restraints
4.3.1 Algorithmic bias and ethical concerns surrounding anthropomorphic interaction
4.3.2 High capital cost versus uncertain ROI for small enterprises
4.3.3 Privacy and data-protection compliance hurdles in public spaces
4.3.4 Limited long-term user engagement and novelty fatigue
4.4 Industry Value Chain Analysis
4.5 Regulatory Landscape
4.6 Impact of Macroeconomic Factors
4.7 Technological Outlook
4.8 Porter's Five Forces Analysis
4.8.1 Bargaining Power of Suppliers
4.8.2 Bargaining Power of Consumers
4.8.3 Threat of New Entrants
4.8.4 Threat of Substitutes
4.8.5 Intensity of Competitive Rivalry
5 MARKET SIZE AND GROWTH FORECASTS (VALUES)
5.1 By Product Type
5.1.1 Humanoid Robots
5.1.2 Animal-like/Companion Robots
5.1.3 Telepresence Robots
5.1.4 Other Product Types
5.2 By Component
5.2.1 Hardware
5.2.2 Software
5.2.3 Services
5.3 By Mobility
5.3.1 Stationary
5.3.2 Mobile - Wheeled
5.3.3 Mobile - Legged/Other
5.4 By End-User Vertical
5.4.1 Healthcare
5.4.2 Education
5.4.3 Entertainment and Media
5.4.4 Retail and Hospitality
5.4.5 Corporate and Public Sector
5.4.6 Other End-User Verticals
5.5 By Geography
5.5.1 North America
5.5.1.1 United States
5.5.1.2 Canada
5.5.1.3 Mexico
5.5.2 South America
5.5.2.1 Brazil
5.5.2.2 Argentina
5.5.2.3 Chile
5.5.2.4 Rest of South America
5.5.3 Europe
5.5.3.1 Germany
5.5.3.2 United Kingdom
5.5.3.3 France
5.5.3.4 Italy
5.5.3.5 Spain
5.5.3.6 Rest of Europe
5.5.4 Asia-Pacific
5.5.4.1 China
5.5.4.2 Japan
5.5.4.3 South Korea
5.5.4.4 India
5.5.4.5 Singapore
5.5.4.6 Australia
5.5.4.7 Rest of Asia-Pacific
5.5.5 Middle East and Africa
5.5.5.1 Middle East
5.5.5.1.1 Saudi Arabia
5.5.5.1.2 United Arab Emirates
5.5.5.1.3 Turkey
5.5.5.1.4 Rest of Middle East
5.5.5.2 Africa
5.5.5.2.1 South Africa
5.5.5.2.2 Nigeria
5.5.5.2.3 Egypt
5.5.5.2.4 Rest of Africa
6 COMPETITIVE LANDSCAPE
6.1 Market Concentration
6.2 Strategic Moves
6.3 Market Share Analysis
6.4 Company Profiles (includes Global level overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
6.4.1 SoftBank Robotics Group Corp.
6.4.2 Blue Frog Robotics SAS
6.4.3 Intuition Robotics Ltd.
6.4.4 Furhat Robotics AB
6.4.5 Amy Robotics Co. Ltd.
6.4.6 Robotemi Ltd.
6.4.7 OhmniLabs Inc.
6.4.8 Hanson Robotics Ltd.
6.4.9 PAL Robotics SL
6.4.10 Wonder Workshop Inc.
6.4.11 Double Robotics Inc.
6.4.12 Pudu Robotics Inc.
6.4.13 Savioke Inc.
6.4.14 Kinova Inc.
6.4.15 Blue Ocean Robotics ApS
6.4.16 Embodied Inc.
6.4.17 Movia Robotics Inc.
6.4.18 Bionik Laboratories Corp.
6.4.19 BotsAndUs Ltd.
6.4.20 Inrobics Social Robotics SLL
7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK
7.1 White-space and Unmet-need assessment

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • SoftBank Robotics Group Corp.
  • Blue Frog Robotics SAS
  • Intuition Robotics Ltd.
  • Furhat Robotics AB
  • Amy Robotics Co. Ltd.
  • Robotemi Ltd.
  • OhmniLabs Inc.
  • Hanson Robotics Ltd.
  • PAL Robotics SL
  • Wonder Workshop Inc.
  • Double Robotics Inc.
  • Pudu Robotics Inc.
  • Savioke Inc.
  • Kinova Inc.
  • Blue Ocean Robotics ApS
  • Embodied Inc.
  • Movia Robotics Inc.
  • Bionik Laboratories Corp.
  • BotsAndUs Ltd.
  • Inrobics Social Robotics SLL