Top 10 Robotics Startups to Watch in 2026

Executive Summary

LONDON, March 7, 2026 — The global robotics industry has entered its most consequential growth phase in history. Venture capital investment in AI-powered humanoid and industrial robots reached record levels in 2025 and has continued accelerating into 2026, as corporates from BMW and Amazon to Mercedes-Benz commit to large-scale commercial deployments. The global smart robots market was valued at $131.46 billion in 2024 and is projected to grow at a compound annual rate of 26.5% through 2030, according to Grand View Research. Humanoid robots — once considered science fiction — are now operating on active assembly lines, in fulfilment warehouses, and within research hospitals. This analysis identifies the ten robotics startups commanding the most attention in 2026, ranking them by funding raised, commercial deployment depth, technology differentiation, and strategic positioning for long-term market leadership across industrial, logistics, and consumer segments.

Quick Reference: Top 10 Robotics Startups in 2026

#	Company	Headquarters	Founded	Key Funding	Flagship Product
1	Figure AI	Sunnyvale, USA	2022	$2.25B+	Figure 02 Humanoid
2	Physical Intelligence (π)	San Francisco, USA	2023	$400M	π0 Robot Foundation Model
3	Apptronik	Austin, USA	2016	$350M+	Apollo Humanoid
4	Neura Robotics	Metzingen, Germany	2019	€1B+	MAiRA Cognitive Humanoid
5	1X Technologies	Moss, Norway	2014	$100M+	NEO B1 / EVE
6	Agility Robotics	Corvallis, USA	2015	$150M+	Digit Humanoid
7	Unitree Robotics	Hangzhou, China	2016	$1.3B valuation	G1 Humanoid / B2 Quadruped
8	Skild AI	Pittsburgh, USA	2023	$300M	Universal Robot Brain
9	Algorized	Tel Aviv / New York	2022	$13M Series A	AI Nervous System for Industrial Robots
10	Sanctuary AI	Vancouver, Canada	2018	$140M+ CAD	Phoenix Humanoid

Top 10 Robotics Startups to Watch in 2026

1. Figure AI — Sunnyvale, California, USA

Figure AI stands as the most heavily capitalised pure-play humanoid robotics startup in the world, having raised approximately $2.25 billion in total since its founding in 2022 by entrepreneur Brett Adcock. The company's landmark $675 million Series B in early 2024 attracted a remarkable coalition of strategic investors including OpenAI, Microsoft, NVIDIA, Intel Capital, Samsung Investment, Jeff Bezos's Bezos Expeditions, and Parkway Venture Capital — a lineup that underscores how convergent the interests of AI infrastructure giants and robotics hardware have become. That capital injection valued Figure AI at approximately $2.6 billion, cementing it as one of the fastest-growing hardware companies in Silicon Valley history.

The company's flagship product, the Figure 02 humanoid robot, represents a significant step beyond its predecessor, featuring enhanced hand dexterity with 16 degrees of freedom per hand, a full-colour vision system, and an onboard AI inference engine that processes sensory input and generates motor commands in near real-time. Figure 02's hands are capable of manipulating small components, operating power tools, and performing assembly tasks that previously required human fine motor skills. The integration with OpenAI's language models enables Figure 02 to receive and interpret natural-language instructions from human supervisors, reducing the need for task-specific programming and allowing rapid redeployment across different production stations. BMW Manufacturing was the first corporate partner to deploy Figure 02 in a commercial factory environment, using the robots in body shop operations at its Spartanburg, South Carolina plant.

In 2026, Figure AI's strategic trajectory centres on scaling the Figure 02 production run beyond the pilot cohort and deepening its commercial partnership pipeline. The company is building its own manufacturing capability rather than relying purely on contract electronics manufacturers, a decision that carries substantial capital requirements but gives Figure AI control over hardware iteration cycles and unit cost reduction. With OpenAI's continued involvement, Figure AI is positioned to benefit from advances in multimodal foundation models that will progressively expand the range of tasks Figure 02 can perform without custom training — a capability that industry analysts from Goldman Sachs have identified as the key determinant of long-term humanoid robot adoption curves across manufacturing sectors.

2. Physical Intelligence (π) — San Francisco, California, USA

Physical Intelligence, known as π (pi), occupies a uniquely differentiated position in the 2026 robotics landscape: rather than building its own hardware platform, the company is developing foundational AI models that can control any robot. Founded in 2023 by Karol Hausman, Brian Ichter, Pete Florence, and Professor Sergey Levine — a team whose collective research background spans Google Brain, Google DeepMind, and UC Berkeley's RAIL Lab — Physical Intelligence raised $400 million in its Series A funding round, achieving a post-money valuation of approximately $2.4 billion within its first year of operation. The round was led by Bezos Expeditions, with participation from Sequoia Capital, Lux Capital, and Tiger Global.

The company's inaugural model, π0 (pi-zero), published in late 2024, demonstrated a general-purpose robot policy capable of performing a diverse set of manipulation tasks including laundry folding, table clearing, and assembly operations — all using the same pre-trained weights with minimal task-specific fine-tuning. The π0 architecture draws on transformer-based vision-language-action (VLA) models, training on an unusually broad dataset of robot demonstrations that spans multiple hardware embodiments and task categories. This approach, sometimes called an "embodied foundation model," mirrors the scaling laws observed in large language models and multimodal AI systems: more data and more parameters produce increasingly general and robust behaviour. Physical Intelligence's thesis is that the most durable competitive moat in robotics lies not in any particular mechanical design but in the quality and breadth of the AI model that animates the machine.

The commercial implications of Physical Intelligence's approach are substantial for the broader industry. If the company's foundation model paradigm succeeds, robot manufacturers will increasingly compete on hardware quality and cost while licensing or integrating third-party AI controllers — a structural shift analogous to the relationship between smartphone hardware makers and mobile operating systems. In 2026, π is deepening partnerships with hardware OEMs and logistics operators who want to upgrade their existing robotic fleets without replacing physical assets. The company's ability to demonstrate generalisation across humanoid platforms from different manufacturers will be the critical proof point that either validates or challenges the AI-first thesis that underpins its multi-billion dollar valuation, according to analysis from Andreessen Horowitz's robotics practice.

3. Apptronik — Austin, Texas, USA

Apptronik brings a decade of institutional robotics research to the commercial humanoid market, having spun out of the University of Texas at Austin's Human Centered Robotics Lab in 2016 under CEO Jeff Cardenas. The company's deep collaboration with NASA — most notably on the MIRA (Miniaturised In-vivo Robotic Assistant) surgical system developed for the International Space Station — gave Apptronik an unusually rigorous engineering foundation in reliability, safety certification, and human-in-the-loop operation. That heritage informed the design philosophy behind Apollo, the company's commercial humanoid robot, which prioritises operational reliability and predictability over raw performance benchmarks. Apollo stands at 5 feet 8 inches tall, weighs approximately 73 kilograms, and carries payloads of up to 25 kilograms — specifications chosen specifically to match the physical demands of warehouse and logistics tasks rather than laboratory demonstrations.

The most significant development in Apptronik's commercial trajectory was Google's $160 million investment, which forms part of a broader strategic partnership giving Apptronik access to Google DeepMind's robotics AI research and compute infrastructure. This relationship gives Apptronik a path to integrating state-of-the-art foundation model capabilities into Apollo's control stack without the full cost of building a frontier AI research team in-house. The company has deployed Apollo units with multiple logistics and manufacturing partners, including in fulfilment operations where the robot performs piece picking, tote transport, and shelf stocking tasks under human supervision. Apptronik's commercial model emphasises a Robot-as-a-Service (RaaS) subscription structure that allows enterprise customers to deploy Apollo without large upfront capital commitments, lowering the adoption barrier relative to outright hardware purchase programmes.

By 2026, Apptronik has positioned itself as one of the strongest American challengers in the humanoid race, and its combination of NASA-validated engineering rigour, Google-backed AI capability, and pragmatic commercial focus distinguishes it from peers that emphasise headline performance metrics over operational reliability. The company's leadership has been publicly transparent about the challenges of humanoid deployment at scale — including unstructured environment handling, battery life constraints, and maintenance cycle management — in a way that builds credibility with enterprise procurement teams that have grown sceptical of overpromised robotics timelines. As reported by TechCrunch, Apollo's cumulative deployment hours have crossed a commercially significant threshold in 2026, providing the operational data needed to accelerate the next generation hardware revision.

4. Neura Robotics — Metzingen, Germany

Neura Robotics is Europe's most generously funded humanoid robotics company and one of the few non-American, non-Chinese startups competing credibly for global market share in the sector. Founded in 2019 by David Reger in Metzingen, Germany — a small town near Stuttgart in the heart of Germany's automotive engineering corridor — the company raised €1 billion in a landmark funding round in 2024 at a reported valuation of €8 billion, establishing it as one of Germany's most valuable technology startups. The investor syndicate included Bosch Ventures, EQT Ventures, and several undisclosed strategic investors from the German automotive and industrial machinery sectors, reflecting the deep interest European industrial conglomerates have in controlling their humanoid robotics supply chains rather than depending entirely on American or Chinese vendors.

The company's flagship robot, MAiRA (Multi-purpose AI Robot Assistant), is designed for close human collaboration in industrial settings, featuring cognitive AI capabilities that allow it to interpret and respond to contextual cues, adapt to changes in its working environment, and carry out multi-step tasks that require planning and sequencing rather than just reactive motion control. MAiRA's hands are equipped with tactile sensors that provide fine-grained force feedback, enabling manipulation tasks requiring delicacy — such as handling glass components or operating precision instruments — alongside the heavier payload tasks common in automotive assembly. Neura Robotics has also developed a proprietary cognitive AI architecture called 4NE-1 (pronounced "for any one"), which the company describes as a real-time neural processing system enabling whole-body coordination and task generalisation without internet connectivity, a significant advantage for deployments in secure industrial environments.

Mercedes-Benz represents Neura Robotics' most prominent commercial partner, with the automotive manufacturer investing in the company's earlier funding rounds and conducting extended deployment trials of MAiRA in its German production facilities. This relationship gives Neura Robotics a unique validation signal within the European automotive supply chain: if MAiRA can meet the precision and reliability standards of one of the world's most demanding car manufacturers, it becomes a compelling proposition for Tier 1 and Tier 2 suppliers across the continent. In 2026, Neura Robotics is focused on scaling from pilot deployments to series production volumes, addressing both the manufacturing ramp-up challenge that has constrained every humanoid vendor and the ongoing fine-tuning of MAiRA's cognitive systems across the diversity of tasks encountered in live factory environments, as documented by Handelsblatt.

5. 1X Technologies — Moss, Norway

1X Technologies is the world's most geographically unexpected robotics unicorn — a humanoid robotics company headquartered not in Silicon Valley or Shenzhen but in Moss, a coastal town south of Oslo, Norway. Founded in 2014 by CEO Bernt Øyvind Børnich, 1X occupies a distinctive market position as an OpenAI-backed company with a dual product strategy that spans both the industrial and consumer segments. The company's first product, EVE, is a wheeled humanoid designed for industrial and commercial environments, valued for its ability to operate in spaces designed for human workers without infrastructure modification. EVE has been deployed in security patrol, inventory management, and light materials handling roles, with deployments running across multiple enterprise customers in North America and Scandinavia.

The company's second and more ambitious product is NEO B1, a bipedal humanoid robot designed for deployment in human homes. The NEO B1 represents a fundamental design philosophy difference from most humanoid robotics startups, which focus primarily on industrial and logistics applications where controlled environments and clear economic ROI make deployment more straightforward. 1X is making a long-term bet that the consumer humanoid market — household assistance, elderly care, personal productivity — will ultimately be larger than the industrial segment and is investing accordingly in the mechanical design, safety certification processes, and AI training data pipelines required to deploy robots in unstructured residential environments. OpenAI's investment in 1X creates a natural data flywheel: interactions between NEO B1 units and household users generate behavioural training data that feeds back into the underlying AI models, progressively improving performance across the diverse range of tasks encountered in home settings.

The European regulatory environment presents both a challenge and an opportunity for 1X Technologies in 2026. The EU AI Act's provisions on high-risk AI systems apply to robots operating autonomously in human-occupied spaces, requiring extensive documentation, conformity assessments, and incident reporting mechanisms that add compliance costs not yet faced by competitors in less regulated markets. However, 1X's Norwegian base and its early engagement with European regulators position it to navigate these requirements more fluently than American or Chinese competitors, potentially giving it a first-mover advantage in the consumer robotics segment across the EU market. As noted in a 2025 analysis by Axios, consumer humanoid deployments remain the frontier where competitive differentiation in 2026 will be most fiercely contested.

6. Agility Robotics — Corvallis, Oregon, USA

Agility Robotics was founded in 2015 as a spinout from Oregon State University by robotics professor Jonathan Hurst, whose academic research in bipedal locomotion underpins the dynamic walking capabilities that distinguish Digit from its competitors. The company raised a $150 million Series B in 2023, with strategic investment from Amazon, which has since become both a major commercial partner and a critical validator of Digit's operational performance in demanding real-world logistics environments. Agility's flagship robot, Digit, stands 5 feet 9 inches tall, weighs 65 kilograms, and features a unique torso design that allows it to fold at the waist and reach into low shelving spaces — a capability that is directly relevant to warehouse fulfilment operations where standard industrial robots cannot access all storage locations.

The most significant commercial development in Agility Robotics' history was the opening of RoboFab, the company's dedicated humanoid robot manufacturing facility in Salem, Oregon. RoboFab was purpose-built to produce Digit units at scale, with an initial annual capacity target that reflects Agility's commitment to transitioning from a research and pilot-scale operation to a production business. Amazon's pilot deployment of Digit in its fulfilment centres provides Agility with a high-volume, high-scrutiny proving ground that generates operational data at a pace that no laboratory environment can replicate. The key use case in Amazon's warehouses centres on tote handling — picking up and moving the plastic tote boxes that travel along Amazon's conveyor and sorting systems — a task that is both high in volume and constrained enough in scope that Digit's current manipulation capabilities can handle it reliably.

Agility Robotics' positioning in 2026 reflects a deliberate focus on depth rather than breadth: rather than pursuing a wide variety of use cases across multiple industries simultaneously, the company is concentrating on achieving genuine operational excellence in logistics before expanding its task portfolio. This focus has allowed Digit to accumulate substantially more real-world deployment hours in live commercial environments than most humanoid competitors, and the associated data and operational learning provide a compounding advantage as the company iterates on software and hardware. The company's academic roots continue to influence its engineering culture — Agility has published more peer-reviewed research on bipedal locomotion dynamics than any other commercial robotics company — giving it a degree of credibility with research-oriented enterprise buyers that complements its commercial deployment track record, as documented by TechCrunch's robotics coverage.

7. Unitree Robotics — Hangzhou, China

Unitree Robotics has achieved a post-money valuation exceeding $1.3 billion following its Series C funding round led by Hillhouse Capital. Founded in 2016 by Wang Xingxing, a researcher who identified the market opportunity for cost-competitive quadruped and humanoid robots while completing his doctoral studies at Zhejiang University, Unitree has consistently pursued a strategy of aggressive price compression that has forced the global robotics industry to re-examine its cost assumptions. The company's G1 humanoid robot, launched in 2024, carries a starting list price of approximately $16,000 — a price point at least five to ten times lower than comparable products from Western humanoid robotics companies — achieved through tight vertical integration, proximity to China's electronics manufacturing supply chain, and high-volume production processes honed through years of quadruped robot manufacturing.

The G1 stands 127 centimetres tall, weighs 35 kilograms, and features 23 degrees of freedom in its dexterous hands, enabling manipulation tasks ranging from tool use to object sorting. Its complementary quadruped platform, the B2, weighs 60 kilograms, achieves top speeds of 6 metres per second, sustains operation for up to four hours on a single charge, and has been deployed in applications including infrastructure inspection, security patrol, and entertainment. Both products are sold globally, with Unitree's international distribution channels having expanded significantly in 2025 and 2026 as buyers in Europe, the United States, and Southeast Asia seek cost-competitive alternatives to domestic robotics vendors. The company's open SDK and developer-friendly licensing approach have cultivated a large research and integration community that generates third-party applications and use-case evidence that further broadens Unitree's market reach without proportional marketing expenditure.

Unitree's strategic significance in 2026 extends beyond its own product line: by demonstrating that capable humanoid and quadruped robots can be manufactured at consumer-electronics-like price points, the company has fundamentally altered the competitive calculus for the entire global robotics industry. Venture-backed Western humanoid startups must now defend premium pricing against a credible low-cost alternative, a challenge that requires either demonstrating substantially superior AI capability, offering robotics-as-a-service models that abstract away the hardware cost, or targeting use cases where regulatory compliance or data sovereignty concerns favour domestic vendors. As reported by Bloomberg, China's cost advantages in humanoid robotics are expected to intensify as domestic scale continues to expand through 2026 and 2027.

8. Skild AI — Pittsburgh, Pennsylvania, USA

Skild AI raised $300 million in a 2024 funding round led by SoftBank Vision Fund 2, achieving a valuation of approximately $1.5 billion and establishing itself as one of the most generously funded AI-for-robotics companies since Physical Intelligence. The company was founded in 2023 by Deepak Pathak and Abhinav Gupta, both professors at Carnegie Mellon University's School of Computer Science and authors of foundational academic research on self-supervised robot learning, curiosity-driven exploration, and generalised robot policies. CMU's robotics department — consistently ranked among the world's best — provided Skild AI with an exceptional talent recruitment pipeline and access to research infrastructure that has materially accelerated its early development relative to companies building equivalent capabilities from scratch without an institutional foundation.

Skild AI's central product is what the company describes as a "universal robot brain" — a large-scale AI foundation model trained on a diverse corpus of robot demonstrations, simulation data, and video footage of human manipulation tasks. The model is designed to be deployed across different robot hardware platforms with minimal hardware-specific retraining, operating as a general-purpose control layer that can receive task instructions and execute them through any compatible robot's actuator system. This architecture mirrors Physical Intelligence's approach but with greater emphasis on rapid generalisation: Skild AI's benchmarks emphasise the model's ability to perform novel tasks that were not explicitly represented in its training data, which is the key capability that would enable a single AI controller to be commercially deployed across the diverse task portfolios of logistics, manufacturing, and healthcare robotics customers.

SoftBank's investment in Skild AI reflects the Japanese conglomerate's long-term conviction about AI-enabled robotics, a thesis it first articulated through its investment in Boston Dynamics and has continued pursuing through strategic positions across the global robotics AI ecosystem. For Skild AI, the SoftBank relationship provides more than capital: access to SoftBank's portfolio companies — including robotics operators in Japan, Southeast Asia, and the Middle East — creates a potential go-to-market channel that could accelerate Skild AI's commercial deployment into live operational environments substantially faster than a direct enterprise sales motion would allow. The company's progress in 2026 is being closely monitored by the industry as a leading indicator of how quickly AI foundation model approaches can bridge the gap between laboratory benchmark performance and commercial-grade operational reliability, a question that McKinsey's 2025 automation report identifies as the critical inflection point for mass humanoid adoption.

9. Algorized — Tel Aviv / New York

Algorized has secured $13 million in Series A funding to advance what it describes as an AI "nervous system" for industrial robots — a software layer that enhances the cognitive and adaptive capabilities of existing robot hardware rather than requiring customers to replace their installed base of industrial machinery. The company operates at the intersection of two major industry trends: the recognition that most industrial facilities have invested heavily in robots that are capable of more sophisticated behaviour than their current controllers permit, and the emergence of AI models with sufficient robustness to operate reliably in the demanding environments of factory floors. Algorized's approach lowers the adoption barrier for AI-enhanced robotics by allowing manufacturers to upgrade rather than replace, reducing capital expenditure requirements and minimising the operational disruption associated with major equipment transitions.

The company's technical architecture centres on a modular software platform that integrates with the communication protocols and hardware interfaces of major industrial robot brands, applying machine learning models for tasks including adaptive path planning, anomaly detection, and dynamic response to variations in workpiece positioning and environmental conditions. A robot equipped with Algorized's nervous system can, for example, compensate in real-time for variations in the placement of components on a conveyor without requiring a human operator to reprogram the task sequence — a capability that directly addresses one of the most common productivity bottlenecks in flexible manufacturing. The $13 million Series A investment will be used to expand the platform's compatibility across additional robot brands and to develop higher-level task reasoning capabilities that enable more complex multi-step manufacturing sequences to be handled without operator intervention.

Algorized's market positioning in 2026 is particularly relevant for mid-size manufacturers who have invested significantly in automation infrastructure but lack the engineering resources to integrate frontier AI capabilities internally. While large automotive and electronics manufacturers have dedicated robotics engineering teams capable of evaluating and deploying solutions from Physical Intelligence or Skild AI, the broader industrial base — food processing, pharmaceuticals, consumer goods packaging, metal fabrication — has historically been underserved by AI robotics vendors whose offerings require substantial integration effort. Algorized's plug-in architecture targets this segment, and if the company can demonstrate consistent ROI in these environments, its addressable market extends well beyond the headline use cases that dominate coverage of the humanoid robotics sector, according to industry analysis from IDC's Worldwide Robotics Forecast.

10. Sanctuary AI — Vancouver, British Columbia, Canada

Sanctuary AI was founded in 2018 by Geordie Rose and Suzanne Gildert — both veterans of D-Wave Systems, the quantum computing company — alongside co-founders Olivia Norton and Suzanne Gildert, and has raised over CAD $140 million to develop Phoenix, a humanoid robot distinguished by its proprietary cognitive AI system called Carbon. Unlike companies that integrate third-party language models or general-purpose AI into their robots, Sanctuary AI has built Carbon as a custom cognitive architecture designed specifically for embodied physical tasks — a system that reasons about actions, predicts consequences, and adapts to unexpected conditions in ways that general-purpose AI models were not optimised for. Phoenix stands 5 feet 7 inches tall, weighs 70 kilograms, and is notable for having the fastest robot hands of any commercially demonstrated humanoid, capable of performing fine manipulation tasks at speeds approaching human dexterity benchmarks.

The company's most commercially visible deployment was at Mark's Work Wearhouse, a Canadian retail chain, where Phoenix units were tasked with store operations tasks including product sorting, shelf stocking, and inventory management in a live retail environment. This deployment provided Sanctuary AI with operational data across an unusually diverse task portfolio — retail environments require robots to handle products of vastly different shapes, weights, and fragility levels, navigate dynamic spaces populated by human shoppers, and execute tasks defined by natural-language instructions from store managers. The retail deployment also generated significant public visibility for Sanctuary AI in a market where most humanoid robot demonstrations occur in carefully controlled factory environments, building a brand association with practical real-world utility that distinguishes the company from competitors whose commercial track record remains limited to pilot programmes.

Sanctuary AI's Canadian base provides access to talent from the University of British Columbia and the Vector Institute, two world-class institutions in machine learning research, as well as a regulatory environment that has been broadly supportive of AI and robotics innovation. The company's long-term thesis is that general-purpose robots with human-like cognitive capabilities will ultimately be deployed across virtually every sector of the economy — retail, logistics, healthcare, construction, and domestic assistance — and that the depth and generality of the underlying Carbon cognitive system represents its most durable competitive advantage. As the humanoid robotics race accelerates through 2026, Sanctuary AI's differentiated approach to cognition over hardware spectacle positions it as the field's most philosophically distinct contender, according to coverage in IEEE Spectrum.

Key Takeaways

The global robotics startup ecosystem in 2026 is characterised by three converging forces: the rapid commoditisation of humanoid hardware driven by Chinese manufacturers like Unitree; the emergence of AI foundation models (Physical Intelligence, Skild AI) that could decouple robot intelligence from specific hardware platforms; and the shift from laboratory demonstrations to commercial deployments at scale, led by Figure AI with BMW, Agility Robotics with Amazon, and Neura Robotics with Mercedes-Benz. Companies best positioned for long-term success are those building proprietary data flywheels from real-world deployments — every hour a Figure 02, Digit, or Apollo unit spends in a live commercial environment generates training data that progressively improves AI performance and widens the gap between operational leaders and laboratory-stage competitors. The window for new entrants to accumulate equivalent operational data is narrowing rapidly as deployment volumes accelerate through 2026 and into 2027.

Industry Implications

The concentration of humanoid robotics capital in the United States and China raises important questions for European and other regional policymakers about supply chain sovereignty in a sector increasingly critical to industrial competitiveness. Neura Robotics and 1X Technologies represent the most credible European challengers, but their combined capitalisation remains significantly smaller than their American counterparts. The global robotics market is projected to reach $131.46 billion by 2030 according to Grand View Research, with the industrial robotics segment alone expected to reach $60.56 billion by 2030 per separate analysis from the same firm. Labour market dynamics are also accelerating deployment timelines: with the US Bureau of Labor Statistics projecting significant shortfalls in logistics, warehouse, and light manufacturing roles through the end of the decade, enterprise buyers are increasingly evaluating humanoid robots not as experimental technology but as a necessary operational response to structural workforce constraints.

Robotics Market Statistics — 2024–2026 Forecasts

Category	Metric	Year	Value	Source
Smart Robots	Market Size	2024	$131.46 Billion	Grand View Research
Industrial Robotics	Market Size	2030	$60.56 Billion	Grand View Research
Robot as a Service	Market Size	2026	$4.12 Billion	Grand View Research
AI in Robotics	Investment	2025	Record Surge	Axios
Top Robotics	Market Size	2030	$150.84 Billion	MarketsandMarkets