Social Robots Market Size and Share

Social Robots Market (2025 - 2030)
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Social Robots Market Analysis by Mordor Intelligence

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. Steep gains stem from the pairing of large-language-model (LLM) software layers with ever-cheaper sensing and actuation hardware, which together make empathetic, conversational machines commercially viable. Institutional buyers in elder-care, hospitality, and education are choosing turnkey robot-as-a-service contracts that flatten upfront costs and shorten payback periods. Rapid progress in multimodal sentiment analysis enables robots to read facial micro-expressions and voice tone, improving therapeutic outcomes in dementia, autism, and post-acute rehabilitation. Companies are redirecting R&D budgets from form-factor innovation to software frameworks so that a single hardware platform can serve multiple use cases through downloadable skill sets. Large public-sector procurement schemes in Japan, France, and several U.S. states add further momentum, widening the addressable base beyond early adopters.

Key Report Takeaways

  • By product type, humanoid robots led with 48.30% revenue share of the social robots market in 2025, while animal-like and companion robots are projected to expand at a 33.55% CAGR through 2031.
  • By component, hardware accounted for 57.10% of the social robots market size in 2025; software is forecast to record the fastest growth at 33.08% CAGR to 2031.
  • By mobility, mobile-wheeled platforms held 61.10% share of the social robots market size in 2025, whereas mobile-legged and other advanced solutions are predicted to rise at a 33.30% CAGR.
  • By end-user vertical, healthcare commanded 37.85% of the social robots market share in 2025; retail and hospitality applications are advancing at a 33.95% CAGR through 2031.
  • By geography, North America captured 38.20% share of the social robots market in 2025; Asia-Pacific is the fastest-growing region, progressing at a 33.78% CAGR to 2031.

Note: Market size and forecast figures in this report are generated using Mordor Intelligence’s proprietary estimation framework, updated with the latest available data and insights as of 2026.

Segment Analysis

By Product Type: Companion Designs Accelerate on Emotional Engagement Advantages

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.

Social Robots Market: Market Share by Product Type, 2025
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Social Robots Market: Market Share by Product Type, 2025

By Component: Software and Services Outpace Hardware in Value Capture

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.

By Mobility: Wheeled Dominance Persists While Legged Platforms Extend Reach

Wheeled robots own 61.10% of the social robots market size because smooth indoor flooring dominates healthcare, education, and retail spaces. These platforms balance energy efficiency with maintenance simplicity, ensuring 99% uptime in multi-shift service environments. Yet legged locomotion is gathering speed at a 33.30% CAGR as torque-dense actuators and real-time balance algorithms mature. Hospitals exploring in-room patient lifts or ward-round accompaniment require stair-climbing ability, an area where legged units excel. Early prototypes demonstrate sub-2-centimeter foot-placement accuracy, meeting safety norms for patient-interactive devices.

Stationary kiosks remain relevant in high-traffic transit hubs where physical mobility adds little value. For example, a fixed Buddy attendant at Paris-Orly Airport answers 600 daily passenger queries with 92% satisfaction ratings. Each mobility archetype, therefore, targets distinct situational needs, but advanced locomotion will broaden total addressable deployments and raise the technological entry bar for new entrants seeking to penetrate the social robots market.

Social Robots Market: Market Share by Mobility, 2025
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Social Robots Market: Market Share by Mobility, 2025

By End-User Vertical: Healthcare Still Leads but Commercial Segments Race Ahead

Healthcare contributes 37.85% of 2025 revenue as insurers approve reimbursements for fall-detection alerts and medication-reminder conversations. Robots help clinicians run cognitive-stimulation sessions, freeing 8–10 minutes per patient per day. However, retail and hospitality deployments are rising at a 33.95% CAGR as managers automate greeting, shelf-stock inquiries, and queue management. A mid-sized supermarket chain in South Korea reported that customer-interaction robots cut wait times by 18% and boosted basket size by 5%, driving chain-wide rollouts.

Educational institutions leverage telepresence variants to include long-term sick students in classroom life, while entertainment venues use interactive dance and trivia features to deepen visitor immersion. Corporate lobbies adopt mobile guides that escort guests to meeting rooms, slashing manual reception workload by 40%. This diversification signals that commercial volumes may soon eclipse medical units, realigning competitive dynamics inside the social robots market.

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.

Social Robots Market CAGR (%), Growth Rate by Region
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Regulatory Landscape

Compliance requirements for social robots are tightening across major regions because these systems combine physical interaction with continuous collection of voice, image, and behavioral data. In the European Union, Regulation (EU) 2024/1689 (AI Act) adds risk-based obligations for AI systems, and robots covered by product safety rules also face parallel conformity requirements under machinery legislation. That dual compliance track increases the burden for documentation, transparency, and safety controls for human-facing robots.

China is moving toward more specific governance for anthropomorphic and emotionally interactive services. The Cyberspace Administration of China (CAC) and other departments issued the Interim Measures for the Administration of AI Anthropomorphic Interactive Services on April 10, 2026 (effective July 15, 2026), setting guardrails relevant to conversational and companion robot deployments. Standards and industry frameworks are also shaping global design baselines, with ISO 13482:2014 widely referenced for personal care robot safety and ISO 31101:2023 guiding safety management for service robot application services in unstructured environments. In the United States, proposed federal procurement restrictions (for example, S. 3275 in the 119th Congress) point to national security considerations alongside privacy and safety compliance.

Value Chain Analysis

The social robots value chain runs from upstream electromechanical components (sensors, actuators, compute modules, batteries, cameras, and microphones) to midstream robot OEMs and OS or framework providers (robot operating stacks, speech and vision models, and multimodal sentiment engines). Downstream, integrators and channel partners serve healthcare providers, hospitality operators, education programs, and telecom or cloud partners delivering robot-as-a-service. As software becomes a larger value-capture layer, vendors increasingly package recurring subscriptions for conversational skills, monitoring dashboards, and localization modules, supported by professional services such as workflow design, cybersecurity audits, staff training, and fleet management.

Standardization and scale manufacturing are also becoming more visible across the chain. In February 2026, IEEE approved IEEE 7014.1 for ethical design of empathic, partner-based AI, providing a reference point for interaction design and safeguards. China also advanced industrial coordination through a national humanoid robotics standard system unveiled in March 2026 by a MIIT-related technical committee, spanning areas such as safety, ethics, and components, which helps align upstream suppliers and assemblers toward more interoperable parts and compliance-ready designs. On the commercialization side, UBTECHs June 2026 launch of the UWORLD U1 Series, described as mass-produced full-size companion humanoids with reported order volume at launch, highlights how capacity, component sourcing, and after-sales service networks are becoming decisive differentiators for large deployments.

Competitive Landscape

No single vendor holds more than 10% share, leaving the social robots market moderately fragmented. Incumbents such as SoftBank Robotics focus on open-source ROS2 compatibility, inviting independent developers to add hospitality or retail skill sets that widen addressable use cases. Blue Frog Robotics cultivates a partner marketplace where agencies can resell Buddy-based concierge solutions under white-label agreements, expanding geographic reach without direct capital outlay. Intuition Robotics positions itself squarely in healthcare, layering HIPAA-compliant dashboards and predictive analytics modules that generate subscription revenue well after initial installation.

Start-ups that specialize in clinical therapy, speech-language rehabilitation, autism intervention, or post-stroke motor-skills retraining gain traction by securing peer-reviewed evidence and CE marks, raising entry barriers around domain knowledge. Hardware commoditization pressures pure-play manufacturers; success hinges on proprietary AI stacks, developer ecosystems, and service portfolios rather than electromechanical novelty. Strategic alliances between robotics firms and telecom carriers, cloud-service providers, or medical-device channels are multiplying as each participant seeks bundle economics and data-monetization upside.

Social Robots Industry Leaders

  1. SoftBank Robotics Group Corp.

  2. Blue Frog Robotics SAS

  3. Intuition Robotics Ltd.

  4. Furhat Robotics AB

  5. Amy Robotics Co. Ltd.

  6. *Disclaimer: Major Players sorted in no particular order
Social Robots Market Concentration
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Market Opportunities and Future Outlook

A whitespace is opening around software-defined capability layers that let one hardware platform serve multiple use cases through downloadable skill sets, particularly where buyers favor robot-as-a-service contracts that bundle updates, support, and security controls. This is reinforced by vendor moves toward centralized orchestration and reusable cognitive stacks across form factors, such as Pudu Robotics showcasing a Visual-Language-Model-based Physical Agent architecture ("One Brain, Multiple Embodiments") at WAIC 2026, and ASUS introducing its Maestro AI orchestration platform alongside service and in-home companion robot concepts at Computex 2026. These approaches expand the addressable ecosystem for third-party developers, integrators, and vertical application partners by shifting differentiation away from mechanics and toward software, data governance, and deployment tooling.

Public procurement and reimbursement-linked pathways remain a concrete avenue for scaling, especially in elder-care and education where programs already fund deployments, including Frances TED-i rollout of 1,750 Buddy telepresence units and U.S. state programs positioning companion robots within Medicaid-related technology assistance. At the same time, region-specific compliance regimes, such as Chinas CAC Interim Measures effective July 15, 2026 for AI anthropomorphic interactive services and the EUs AI Act obligations, are driving demand for privacy-by-design sensor packages, content guardrails, audit trails, and opt-in interaction modes that vendors can productize as premium compliance modules. Industrialization signals from mass-production claims in consumer-facing humanoids, such as UBTECHs June 2026 UWORLD U1 launch with disclosed RMB pricing and reported order counts at launch, also underscore opportunity for downstream financing, servicing, and fleet-operations partners that reduce total cost of ownership for institutions.

Recent Industry Developments

  • May 2026: SoftBank Robotics debuted its autonomous cooking robots, STEAMA and FLAMA, at the National Restaurant Association Show 2026 in Chicago. The launch broadened the companys food-service automation portfolio beyond customer interaction, supporting bundled deployments that combine front-of-house engagement with back-of-house throughput.
  • March 2026: Intuition Robotics announced that its ElliQ AI care device became available to eligible Washington Medicaid recipients. The move ties companion robotics more directly to public healthcare funding pathways, strengthening the case for scaled deployments that include caregiver dashboards and ongoing service subscriptions.
  • June 2025: Aldebaran Robotics, known for the Pepper and NAO social robots, entered receivership. This created uncertainty for installed fleets and maintenance continuity, while also opening room for competitors and integrators to pursue replacement cycles and service takeovers.

Table of Contents for Social Robots Industry Report

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. 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
*List of vendors is dynamic and will be updated based on the customized study scope

Research Methodology Framework and Report Scope

Market Definition and Coverage

For this study, the social robots market covers robots designed to interact with people through conversation, gestures, and guidance, and to support social engagement in homes and public settings. The value is counted as revenues generated from sales and related offerings that make these robots usable for the end customer.

Scope exclusions: Industrial robots used mainly for factory automation and robots built only for warehouse picking or manufacturing tasks are excluded.

Segmentation Overview

  • 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

Data Sources, Market Sizing, and Validation

Desk Research

We start by mapping what a social robot is in real deployments, and where it is actually bought and used, so the market boundary stays practical. Public sources are used to anchor the demand context and technology direction, such as International Federation of Robotics publications, OECD and World Bank indicators, US FDA device databases for relevant assistive and care adjacent deployments, Eurostat datasets, and patent publications from major patent offices.

After that, we pull structured signals that connect demand to spend, such as import and export patterns, public procurement notes, and adoption programs reported by ministries or municipal agencies. We also review company filings, investor presentations, product documentation, and reputed press to understand pricing and business models, including robot as a service, and to capture launch timing. For hard-to-collect company financial splits and patent landscaping, we selectively use paid subscriptions for company financials and intelligence, news and financials, and patent databases. The sources listed here are illustrative, and many other public and paid sources are also checked for data collection, validation, and clarification.

Primary Interviews and Surveys

Primary work is used to pressure-test what we see in documents, especially on what buyers count as a social robot, typical deal sizes, and the share of revenue coming from hardware versus software and services. We interview a mix of manufacturers, component suppliers, distributors, system integrators, and institutional buyers across healthcare, education, hospitality, and retail, then reconcile differences across regions so assumptions do not drift.

Distribution of primary research fieldwork respondents

Company typeRespondent positionRegion
Top tier: 37% CXOs: 17%APAC: 42%
Mid tier: 41% Functional/Unit leaders: 26%EMEA: 34%
Smaller Players: 22% Managers: 57%Americas: 24%

Market-Sizing & Forecasting

Our sizing starts with a top-down demand pool build that links social-robot spending to where deployments happen, then splits by region and end use using adoption patterns we see in service-robot activity. We cross-check the model with selective bottom-up approximations, including sampled average selling price ranges multiplied by estimated unit deployments in a few priority use cases, and channel checks on how often robot as a service is chosen versus upfront purchase.

Key inputs in this market include robot shipment and installed base signals in service robotics, the share of institutional use in elder care and education settings, typical contract structures (subscription versus capital sale), hardware cost deflation for sensors and compute, and the pace of new capabilities in natural language interaction that unlock new deployments. When a bottom-up check is incomplete for smaller countries or smaller suppliers, we fill the gap using proxy adoption ratios tied to population age mix, hospital and care capacity, and education spending, then normalize the result back to the top-down envelope.

For forecasting, we mainly use scenario analysis because adoption can jump when procurement programs expand or when price points fall below buyer thresholds. Assumptions for penetration, pricing progression, and mix shift into services are reviewed with interview feedback, and then applied consistently year by year so the forecast is repeatable.

Data Validation & Update Cycle

We validate outputs by triangulating multiple checks, so the final number is not driven by one data stream alone. Model totals are compared with independent signals like service-robot shipment trends, procurement announcements, and revenue mix commentary, then unusual jumps are reworked until the drivers are clear.

Before sign-off, numbers pass through step-by-step analyst review where assumptions, currency conversions, and split logic are examined for variance against peers and historical patterns. If a major product launch, regulatory change, or demand shock is observed, respondents are re-contacted to confirm what changed and how it should be reflected. The report is refreshed annually, with interim updates for material events, and a final pre-delivery pass is done so clients receive the latest view.

Mordor Intelligence's Social Robots Market Estimate Compared With Other Published Estimates

Published market sizes for social robots can look far apart because each publisher draws the line differently on what counts as a social robot and what is treated as adjacent service robotics. Differences also come from how revenues are counted, especially when subscriptions, services, and pilot deployments are mixed with upfront robot sales.

The biggest gap drivers usually sit in scope and pricing logic. Some estimates bundle telepresence, rehabilitation, or toy-like products without a consistent rule for whether the product is mainly used for social interaction, and then apply aggressive price curves even when procurement budgets stay fixed. Timing choices matter too, since currency conversion dates and refresh cadence can change the current-year number when fast growth is underway.

Benchmark comparison

SourceMarket SizeGaps in Research Methodology
Mordor Intelligence USD 10.40 B (2026)
Industry Tracker A USD 7.66 B (2025)Uses a different base year and tends to group components and end users more broadly, which can undercount service-heavy contracts when revenues are recognized over time.
Specialty Research House B USD 7.40 B (2026)Leans on a narrower included set of robot types and applies uniform average prices across regions, which can miss the higher institutional spend seen in care and education deployments.

By tracking key deployment settings, pricing mix shifts, and refresh triggers, Mordor Intelligence keeps the social-robot boundary tied to interaction-led use cases and avoids blending in adjacent automation categories. The spread in the table mainly reflects base-year selection, what is included as a social robot, and how recurring revenues are treated, which are all choices that materially move the total.

Key Questions Answered in the Report

What revenue level does the social robots market reach by 2031?

Published forecasts show the social robots market size climbing to USD 40.23 billion by 2031 at a 31.1% CAGR.

Which region grows fastest in social robot deployments?

Asia-Pacific records the highest CAGR at 33.78% through 2031, propelled by Japan’s aging population and large public subsidies.

Which end-use segment currently generates the largest robot demand?

Healthcare leads with 37.85% of 2025 revenue thanks to wide uptake in elder-care, rehabilitation and mental-health programs.

How are vendors shifting their revenue models?

Providers now emphasize software subscriptions and professional services that add recurring income beyond the initial hardware sale.

What primary barrier slows adoption among small enterprises?

High total cost of ownership versus uncertain ROI remains the strongest deterrent, especially where upfront capital subsidies are absent.

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