Summary

Battery runtime has become one of the main limits on how far and how fast humanoid robots can scale. Most humanoids today run just two to four hours per charge, against the eight-to-twelve-hour shifts their industrial and commercial deployers need—making the battery the binding constraint on humanoid deployment rather than actuators, sensors or AI.

This report examines the full battery stack for humanoid robots: the power demands of a humanoid and the share of the bill of materials the battery represents (an industry target of roughly 10% of robot price), battery requirements and design constraints, cell chemistries from high-nickel lithium-ion through semi-solid and all-solid-state to lithium-sulfur and sodium-ion, cell formats, pack integration, BMS, thermal management and safety, and the choice between fast charging and battery swapping. It argues humanoids will be solid-state's first commercial market, ahead of EVs.

It maps the supply chain and competitive landscape across Asia, North America and Europe, covers end-use applications from industrial and logistics to healthcare, household and hazardous settings, and provides demand (GWh) and value (US$ million) forecasts for 2027–2040 by application, chemistry, cell format and region, alongside regulation, standards, a SWOT analysis and an outlook to 2040. The report profiles 82 companies.

Report contents include:

• Humanoid robot market context 2026–2040: shipments and installed base, penetration by sector, regional markets (China, US, South Korea, Japan, Europe), government policy and industrial strategy.
• Humanoid cost structure and the battery share of BOM, including the ~10% target and conditions for a sub-US$20,000 humanoid; power demand by subsystem and activity, with 10+ kWh use cases.
• Battery requirements and design constraints: gravimetric and volumetric energy density (target >1,000 Wh/L), power density, cycle and calendar life, safety for close human interaction, and the gap analysis to 8-hour operation.
• Battery chemistries and cell technologies: lithium-ion cathodes and anodes, semi-solid/quasi-solid-state, all-solid-state (sulfide, oxide, polymer, halide), lithium-metal/anode-free, lithium-sulfur, sodium-ion, plus metal-air, structural batteries, supercapacitors and fuel cells.
• Humanoid solid-state programmes (XPENG, GAC GoMate, EngineAI, Farasis, CALB, Joyson–Enpower, EVE Energy, Samsung SDI) and a chemistry adoption roadmap 2027–2040.
• Cell formats, pack architectures, voltage platforms, battery management systems, thermal management and safety, with case studies (Figure 03, Tesla Optimus, Boston Dynamics Atlas, UBTECH Walker S2).
• Charging vs. battery swapping: fast charging (5C–7C), docking and autonomous charging, swap stations and fleet energy management, economics and total cost of ownership, wireless power and energy harvesting.
• Supply chain and competitive landscape: the humanoid battery value chain, supplier–OEM relationships, regional analysis, supplier tiers, automotive OEMs as humanoid makers, and investments/partnerships/M&A 2024–2026.
• End-use applications across industrial manufacturing, logistics, commercial and service, healthcare/eldercare, household, research/education and hazardous/defence settings.
• Global market forecasts 2027–2040: demand (GWh) and value (US$ million) by application, chemistry, cell format and region, with scenario and sensitivity analysis.
• Regulation, standards, challenges and outlook: safety certification, China's solid-state definitions (GB/T 43568-2026), the EU Battery Regulation, supply-chain risks, SWOT analysis and outlook to 2040.
• 82 company profiles, appendices (classification, methodology, segmentation, glossary) and references.

Companies profiled include: 24M Technologies, Ampace, Ampcera, Amprius Technologies, ATL (Amperex Technology Ltd.), Azure, BAK Power Battery, Basquevolt, Blue Current, Blue Solutions, BTR New Material Group, BYD / FinDreams Battery, CALB, CATL, Chongqing Tailan New Energy, CNS Battery, Echion Technologies, EcoPro BM, Enovix, Enpower, EVE Energy, Factorial Energy, Farasis Energy (Funeng Technology), Ganfeng Lithium, Gotion High-Tech, Great Power Energy, Grepow, Group14 Technologies, Hoppt Battery, Idemitsu Kosan, IL Science, Ilika, Ion Storage Systems, Joyson New Energy, LG Energy Solution, Lishen Battery, Lyten, Maxell, Microvast, Molicel (E-One Moli Energy), Murata Manufacturing, Nandu Power, Nyobolt, Panasonic Energy, and more.

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Table of Contents

1 EXECUTIVE SUMMARY 1.1 Report scope and key definitions 1.2 Why the battery is the binding constraint on humanoid deployment 1.3 The humanoid market in 2026: hype vs. deployment reality 1.4 Humanoid vs. EV battery requirements 1.5 Battery chemistry roadmap 2027-2040 1.6 Solid-state batteries: why humanoids are solid-state's first commercial market 1.7 Market reality check: a premium niche of ~0.1 GWh in 2026 1.8 Charging vs. battery swapping: implications for battery demand 1.9 Competitive landscape 1.10 Global humanoid battery demand 2027-2040 (GWh) 1.11 Global humanoid battery market value 2027-2040 (US$ million) 1.12 Comparison of third-party forecasts 1.13 Market drivers and restraints 1.14 Strategic recommendations 2 HUMANOID ROBOT MARKET CONTEXT AND POWER DEMAND 2.1 Industry overview 2026 2.1.1 From demonstration to pilot deployment 2.1.2 The industrial robot baseline: five million robots in factories 2.1.3 Humanoid sales 2025: ~7,000 units for industrial and professional use 2.1.4 2026 shipments 2.1.5 Robot battery demand 2025-2026 2.1.6 Capital markets 2.1.7 Specialised physical AI vs. humanoids: where value is captured 2.2 Humanoid shipment and installed base outlook 2027-2040 2.2.1 Penetration by sector 2.3 Regional markets 2.3.1 China 2.3.2 United States 2.3.3 South Korea 2.3.4 Japan 2.3.5 Europe 2.3.6 Rest of World 2.4 Government policy and industrial strategy 2.5 Humanoid cost structure and the battery share of BOM 2.5.1 Humanoid BOM breakdown 2.5.2 Battery cost share of robot price and the ~10% industry target 2.5.3 Conditions for a sub-US$20,000 humanoid and implications for battery cost 2.6 Power demand of a humanoid robot 2.6.1 What the battery powers 2.6.2 Power consumption by subsystem and activity 2.6.3 Human caloric benchmark and cost of transport 2.6.4 Energy demand of example applications, including 10+ kWh use cases 2.6.5 AI compute: a growing share of the energy budget 3 BATTERY REQUIREMENTS AND DESIGN CONSTRAINTS 3.1 Requirements compared with other mobile platforms 3.2 Energy density: gravimetric and volumetric 3.2.1 Torso volume and mass limits: packs confined to the chest compartment 3.2.2 Volumetric vs. gravimetric energy density: why Wh/L matters more than in EVs 3.2.3 The weight paradox: extra battery mass raises actuator load 3.2.4 Target: >1,000 Wh/L cells for full-shift operation 3.3 Power density and peak discharge for dynamic motion 3.4 Cycle life and calendar life under multi-shift duty 3.4.1 Cycling profile of humanoid robots 3.5 Safety for close human interaction 3.5.1 Thermal runaway, nail penetration and fire containment 3.5.2 Fall, impact, vibration and shock from bipedal locomotion 3.6 Operating temperature range 3.7 Fast-charge capability 3.8 Weight distribution, centre of mass and balance 3.9 Current state of humanoid batteries 3.9.1 Specifications of commercial humanoids 3.9.2 Bipedal (<1 kWh typical) vs. wheeled (>1.5 kWh) humanoids 3.9.3 Average capacity per robot 2025-2040 3.10 Gap analysis: the road to 8-hour operation 3.10.1 Runtime today: ~2 hours for transitional packs 3.10.2 The 8-hour shift threshold, expected around 2028 3.11 Designing the robot around the pack: battery-led robot architecture 3.12 Key battery challenges 4 BATTERY CHEMISTRIES AND CELL TECHNOLOGIES 4.1 Selection criteria and overview 4.2 Lithium-ion batteries 4.2.1 Cathodes: NMC, NCA, LFP, LMFP, LCO, LMO 4.2.2 High-nickel NMC (NMC622, NMC811, NMC9.5.5): the current incumbent 4.2.3 LFP: cost advantage in lower-endurance and voice-interaction robots 4.2.4 Anodes: graphite, silicon-carbon and silicon-dominant 4.2.5 High-rate power cells for actuator peak loads 4.2.6 Lithium-polymer packs 4.3 Semi-solid and quasi-solid-state batteries 4.3.1 Technology and commercial status 4.3.2 Humanoid deployments 4.4 All-solid-state batteries 4.4.1 Sulfide, oxide, polymer and halide electrolytes 4.4.2 Electrode technologies: high-nickel cathodes, silicon, lithium metal, anode-free 4.4.3 Why humanoids commercialize solid-state before EVs: <2 kWh robot packs vs. 60-100 kWh EV packs 4.4.4 Robots as the premium-tolerant customer: energy density, peak power and safety 4.4.5 Humanoid solid-state programmes 4.4.5.1 XPENG IRON (2nd generation) 4.4.5.2 GAC GoMate (3rd generation) 4.4.5.3 EngineAI (Zhongqing) T800 4.4.5.4 Farasis (Funeng Technology) 4.4.5.5 CALB 4.4.5.6 Joyson-Enpower embodied-AI battery joint venture 4.4.5.7 EVE Energy Longquan No. 2 4.4.6 Cost: US$400-600/kWh today vs. LFP and NCM packs 4.4.7 Samsung SDI's two-track strategy: cylindrical for mass-market robots, all-solid-state for premium humanoids 4.4.7.1 Pouch all-solid-state for physical AI vs. prismatic for EVs 4.4.7.2 S-Line pilot: sulfide electrolyte, anode-free design, customer evaluation 4.4.8 Mass production plans of key solid-state players 4.4.9 Unconverged routes: oxide, sulfide and polymer as parallel chemistry bets 4.4.10 Automotive OEM solid-state timelines and spill-over to humanoids 4.4.11 Robots as the field-data generator for automotive solid-state programmes 4.5 Lithium-metal and anode-free batteries 4.6 Lithium-sulfur batteries 4.6.1 Advantages and challenges 4.6.2 Humanoid applications 4.7 Sodium-ion batteries: low-cost household robots and docking stations 4.8 Long-term and complementary technologies 4.8.1 Metal-air (Li-air, Zn-air) 4.8.2 Structural batteries (EFSB) for limbs and tendons 4.8.3 Supercapacitors and hybrid storage for peak power 4.8.4 Fuel cells for long-endurance robots 4.9 Chemistry adoption roadmap 2027-2040 5 CELL FORMATS, PACK INTEGRATION, BMS, THERMAL MANAGEMENT AND SAFETY 5.1 Cell formats 5.1.1 Cylindrical: 18650, 21700, 46-series 5.1.2 Pouch: Samsung SDI's shift to pouch format for robots 5.1.3 Prismatic 5.1.4 Structural and custom-shaped cells 5.2 Cell count and pack sizing 5.2.1 21700-based pack estimation 5.2.2 4680-based pack estimation 5.2.3 Installed vs. actual capacity: fit assessment for major models 5.3 Pack architectures 5.3.1 Centralised torso pack 5.3.2 Distributed and embedded packs 5.3.3 Swappable cartridges: single and dual 5.3.4 Structural integration: torso as battery enclosure 5.3.5 Per-model pack customisation vs. platform standardisation 5.4 Voltage platforms and power distribution 5.5 Battery management systems 5.5.1 SoC/SoH estimation under dynamic loads 5.5.2 AI-driven BMS and predictive energy management 5.5.3 Functional safety and robot-controller integration 5.6 Thermal management 5.6.1 Air, heat-pipe and liquid cooling 5.6.2 Shared cooling of battery and AI compute 5.6.3 Case studies 5.6.4 Figure 03 battery design 5.6.5 Tesla Optimus: pack, cells and patent PCT/US2023/033983 5.6.6 Boston Dynamics Atlas battery strategy 5.6.7 UBTECH Walker S2 dual-battery system 5.6.8 High-power pack for multi-legged robots (Molicel P45B 16S3P) 5.7 Connectors, harnesses and protection circuits 6 CHARGING, BATTERY SWAPPING AND ENERGY MANAGEMENT 6.1 Limited endurance: fast charging or swapping? 6.2 Fast charging (5C-7C) and degradation trade-offs 6.3 Docking and autonomous charging 6.4 Battery swapping 6.4.1 Manual hot swapping 6.4.2 Autonomous self-swapping 6.4.3 Dual-battery architectures 6.4.4 Swap stations and fleet energy management 6.4.5 Standardisation of swappable packs 6.5 Economics of battery swapping 6.5.1 Additional packs per robot and effect on total battery demand 6.6 Charging model by application 6.7 Wireless power transfer 6.8 Energy harvesting and regenerative systems 7 SUPPLY CHAIN AND COMPETITIVE LANDSCAPE 7.1 Humanoid battery value chain 7.2 Market scale today: strategic, not yet material 7.2.1 Robot battery shipments vs. total Li-ion (5.2 GWh in 2024, <0.4%) 7.2.2 Humanoid battery demand of ~0.1 GWh in 2026 vs. gigafactory scale 7.2.3 Battery vendors' narratives vs. robot OEM priorities 7.3 Supplier-OEM relationships 7.4 Regional analysis 7.4.1 China: scale, first-mover solid-state programmes and a full domestic supply chain 7.4.2 South Korea: EV-to-robot pivot 7.4.3 Japan: Panasonic, TDK, Murata, Maxell 7.4.4 Taiwan, US and Europe 7.5 Supplier tiers 7.6 Automotive OEMs as humanoid makers and battery integrators 7.6.1 XPENG Guangzhou humanoid production base 7.6.2 GAC GoMate small-batch production 7.7 Materials suppliers 7.8 Specialist robotics pack integrators 7.9 Investments, partnerships, joint ventures and M&A 2024-2026 7.10 Humanoids in battery manufacturing: CATL, BMW and the reverse relationship 8 END-USE APPLICATIONS 8.1 Industrial manufacturing 8.1.1 Automotive and battery plants 8.1.2 Electronics and general manufacturing 8.2 Logistics and warehousing 8.3 Commercial and service 8.3.1 Retail and hospitality 8.3.2 Healthcare and eldercare (KAPEX hospital deployment) 8.4 Household and domestic 8.5 Research, education and AI training-data collection 8.6 Hazardous environments, defence and outdoor 8.7 Battery requirements compared across applications 9 GLOBAL MARKET FORECASTS 2027-2040 9.1 Forecast summary 9.2 Scenarios and assumptions 9.3 Battery demand (GWh) 9.3.1 By application 9.3.2 Industrial demand by technology 9.3.3 Industrial demand including battery swapping 9.3.4 Commercial and domestic demand by technology 9.3.5 By chemistry 9.3.6 Solid-state battery demand from humanoids 9.3.7 Lithium-ion NMC by nickel content 9.3.8 By cell format 9.3.9 By region 9.4 Market value (US$ million) 9.4.1 Average selling prices 9.4.2 By application 9.4.3 By chemistry 9.4.4 Solid-state batteries by application 9.4.5 By region 9.4.6 Value split: cells, packs, BMS and thermal systems 9.5 Scenario analysis 9.6 Sensitivity analysis 10 REGULATION, STANDARDS, CHALLENGES AND OUTLOOK 10.1 Safety standards and certification 10.2 Standards gap: no robot battery duty-cycle or performance test 10.3 China's solid-state definitions: GB/T 43568-2026 and the IEC submission 10.4 EU Battery Regulation: removability, battery passport and recycling 10.5 Transport, end-of-life and second life 10.6 Supply chain risks: critical minerals, export controls and tariffs 10.7 Technical challenges 10.8 Market challenges: undefined product-market fit, fast-changing robot architectures, supplier hype 10.8.1 Robot body designs iterating faster than battery qualification cycles 10.8.2 Lack of pack standardisation across platforms 10.8.3 Solid-state chemistry routes yet to converge 10.9 SWOT analysis 10.10 Outlook to 2040 11 COMPANY PROFILES (82 company profiles) 12 APPENDICES 12.1 Report scope and objectives 12.2 Definitions and terminology 12.3 Humanoid robot classification 12.3.1 Bipedal, wheeled and hybrid humanoids 12.3.2 Autonomy levels: transition from Level 3 to Level 4 12.4 Research methodology 12.4.1 Primary and secondary research 12.4.2 Forecast model 12.4.3 Scenarios: base, conservative and accelerated 12.5 Market segmentation 12.6 Glossary of terms 12.7 List of abbreviations 13 REFERENCES

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List of Tables/Graphs

List of Tables TABLE 1 Key humanoid market indicators 2025-2026 TABLE 2 Humanoid vs. EV battery requirements compared TABLE 3 Solid-state battery commercialization targets of leading cell makers for robotics TABLE 4 Global humanoid battery demand by application 2027-2040 (GWh) TABLE 5 Global humanoid battery market value by chemistry 2027-2040 (US$ million) TABLE 6 Humanoid robot and humanoid battery forecasts compared by source TABLE 7 Market drivers and restraints for humanoid robot batteries TABLE 8 Global industrial robot operational stock and annual installations by region (latest available) TABLE 9 Humanoid robot shipments and installed base estimates 2024-2026 by source TABLE 10 Global humanoid robot shipments by application 2027-2040 (thousand units) TABLE 11 Global humanoid robot installed base by application 2027-2040 (thousand units, year end) TABLE 12 Humanoid penetration rate by sector, 2030, 2035 and 2040 TABLE 13 Humanoid robot shipments by region 2027-2040 (thousand units) TABLE 14 Government programmes relevant to humanoid batteries TABLE 15 Battery cost share of robot price by chemistry at US$5,000, US$20,000 and US$50,000 price points (2 kWh pack, 2027 pack prices) TABLE 16 Power consumption by subsystem and activity (full-size bipedal humanoid, typical ranges) TABLE 17 Estimated energy demand per shift for example humanoid applications TABLE 18 Battery requirements: humanoid vs. EV, eVTOL/drone, AMR, quadruped and power tool TABLE 19 Peak and continuous discharge requirements by activity TABLE 20 Battery specifications of leading humanoid robots (manufacturer data; n/d = not disclosed) TABLE 21 Average battery capacity per humanoid robot by application 2025-2040 (kWh) TABLE 22 Gap analysis: installed vs. required energy for 2, 4, 8 and 12 hour operation TABLE 23 Battery challenges for humanoid robots and mitigation strategies TABLE 24 Rechargeable battery technologies compared for humanoids TABLE 25 NCM vs. LFP: effect of chemistry switch on humanoid robot price (2 kWh pack, 2026 cell prices) TABLE 26 Lithium-ion anode materials compared TABLE 27 Semi-solid-state cells offered for robots: specifications by supplier TABLE 28 Solid electrolyte families compared TABLE 29 Solid-state cost premium per unit: humanoid robot vs. electric vehicle TABLE 30 Humanoid solid-state battery programmes: claimed specifications, runtime and timing TABLE 31 Solid-state vs. LFP and NCM pack cost 2026-2040 (US$/kWh, humanoid packs) TABLE 32 Solid-state mass production timelines TABLE 33 Chemistry share of humanoid battery demand, 2027, 2030, 2035 and 2040 TABLE 34 Cell format comparison for humanoid robots TABLE 35 Cell format share of humanoid battery demand 2027-2040 TABLE 36 Estimated cell count and pack volume for 2.0, 3.0 and 5.0 kWh packs by cell format (14S, ~52 V nominal) TABLE 37 Pack architecture comparison: energy, serviceability, safety, cost TABLE 38 Pack voltage and configuration by humanoid model TABLE 39 Thermal management approaches by humanoid class (reported examples where disclosed) TABLE 40 Fast-charge capability by chemistry and impact on cycle life TABLE 41 Battery swapping implementations by humanoid model TABLE 42 Total cost of ownership per robot: fast charging vs. swapping TABLE 43 Swap-pack multiplier by application 2027-2040 (packs in service per robot) TABLE 44 Recommended charging and swapping model by application TABLE 45 Publicly disclosed battery supply relationships with humanoid OEMs TABLE 46 Humanoid battery suppliers by region and technology focus TABLE 47 Tiered supplier landscape TABLE 48 Automaker humanoid programmes and battery sourcing TABLE 49 Cathode, solid electrolyte and anode suppliers targeting humanoid batteries TABLE 50 Key investments and partnerships in humanoid batteries 2024-2026 TABLE 51 Industrial humanoid deployments and battery configurations TABLE 52 Battery requirement profile by application TABLE 53 Published humanoid battery and robot forecasts compared TABLE 54 Global humanoid battery demand by application 2027-2040 (GWh) TABLE 55 Industrial humanoid battery demand by technology 2027-2040 (GWh) TABLE 56 Industrial humanoid battery demand including swap packs 2027-2040 (GWh) TABLE 57 Commercial and domestic humanoid battery demand by technology 2027-2040 (GWh) TABLE 58 Global humanoid battery demand by chemistry 2027-2040 (GWh) TABLE 59 Humanoid solid-state battery demand: semi-solid vs. all-solid-state 2027-2040 (GWh) TABLE 60 Lithium-ion NMC demand by nickel content 2027-2040 (GWh) TABLE 61 Humanoid battery demand by cell format 2027-2040 (GWh) TABLE 62 Humanoid battery demand by region 2027-2040 (GWh) TABLE 63 Cell and pack ASP by chemistry 2027-2040 (US$/kWh, cell / pack) TABLE 64 Humanoid battery market value by application 2027-2040 (US$ million) TABLE 65 Humanoid battery market value by chemistry 2027-2040 (US$ million) TABLE 66 Solid-state humanoid battery market value by application 2027-2040 (US$ million) TABLE 67 Humanoid battery market value by region 2027-2040 (US$ million) TABLE 68 Humanoid battery system value split 2027-2040 (US$ million) TABLE 69 Base, conservative and accelerated scenarios: demand and value, 2030, 2035, 2040 TABLE 70 Sensitivity of 2040 demand to runtime targets, US$/kWh and swap adoption TABLE 71 Standards relevant to humanoid robot batteries TABLE 72 Barriers to scale for humanoid batteries TABLE 73 SWOT analysis: humanoid robot battery market TABLE 74 Battery metrics and terminology used in this report TABLE 75 Humanoid morphology and its implications for battery capacity, placement and runtime TABLE 76 Key forecast assumptions 2027-2040 (base case) List of Figures FIGURE 1 Humanoid battery chemistry roadmap 2027-2040 FIGURE 2 Humanoid battery demand 2025-2026 vs. output of a single 30 GWh gigafactory line FIGURE 3 Humanoid battery supplier map by region and technology tier FIGURE 4 Global humanoid battery demand by application 2027-2040 (GWh) FIGURE 5 Global humanoid installed base by application 2027-2040 FIGURE 6 Power flow diagram for a humanoid robot FIGURE 7 Runtime vs. battery mass trade-off for a bipedal humanoid FIGURE 8 Typical humanoid duty cycle and state-of-charge profile over a shift FIGURE 9 Battery capacity vs. operating time for commercial humanoids FIGURE 10 Robot weight vs. battery capacity FIGURE 11 Battery capacity vs. degrees of freedom FIGURE 12 Average battery capacity per humanoid robot 2025-2040 (kWh) FIGURE 13 Humanoid runtime roadmap 2024-2032: transitional Li-ion to semi-solid and all-solid-state packs FIGURE 14 Chemistry suitability for humanoid robots (radar chart) FIGURE 15 XPENG IRON FIGURE 16 GAC GoMate FIGURE 17 EngineAI's T800 humanoid FIGURE 18 Farasis Energy all-solid-state pouch cells FIGURE 19 CALB solid-state cell FIGURE 20 Solid-state battery cost-down trajectory 2026-2040 FIGURE 21 Solid-state commercialization timeline for robotics, 2026-2032 FIGURE 22 Technology readiness and adoption timeline by chemistry FIGURE 23 Battery pack placement options in a humanoid body FIGURE 24 Figure 03 battery pack architecture (schematic) FIGURE 25 Conventional charging vs. battery swapping: robot availability over 24 hours FIGURE 26 Value chain: materials to cells to packs/BMS to robot OEMs to fleet operators FIGURE 27 Regional share of humanoid battery cell supply, 2026 vs. 2035 FIGURE 28 Application vs. battery attribute heat map FIGURE 29 Global humanoid battery demand by application 2027-2040 (GWh) FIGURE 30 Chemistry mix of humanoid battery demand 2027-2040 (%) FIGURE 31 Humanoid solid-state battery demand 2027-2040 (GWh) FIGURE 32 Humanoid battery demand by region 2027-2040 (GWh) FIGURE 33 Humanoid battery market value by chemistry 2027-2040 (US$ million) FIGURE 34 Scenario range for humanoid battery demand 2027-2040 (GWh) FIGURE 35 Humanoid battery forecast model structure FIGURE 36 Segmentation framework: application, chemistry, cell format, pack architecture, charging model, region