# Artificial Intelligence in Robotics Market

> Artificial Intelligence in Robotics Market Size, Share and Research Report By Component (Hardware, Software, and Services), By Robot Type (Industrial Robots, Collaborative Robots, Service Robots, and Medical and Healthcare Robots), By Application (Manufacturing and Assembly, Logistics and Warehousing, Healthcare and Surgery, Inspection and Maintenance, and Retail and Customer Service), By End-user Industry (Automotive, Electronics and Semiconductors, Healthcare, Logistics and E-commerce, Food and Beverage, and Others) And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) – Industry Forecast Till 2035

- **Forecast Period:** 2026-2035
- **CAGR:** 12.14%
- **2025:** USD 23.65 Billion
- **2035:** USD 74.49 Billion
- **Key Players:** ABB Ltd. (Robotics), FANUC Corporation, Yaskawa Electric Corporation, KUKA AG (Midea Group), NVIDIA Corporation, Intuitive Surgical, Inc., Teradyne (Universal Robots, MiR), Amazon Robotics

**Report ID:** MRFR/ICT/30049-HCR · **Pages:** 100 · **Author:** Nirmit Biswas & Aarti Dhapte · **Last Updated:** September 24, 2026

**URL:** https://www.marketresearchfuture.com/reports/artificial-intelligence-in-robotics-market-31833

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## Market Summary

## Artificial Intelligence in Robotics Market Summary

The Artificial Intelligence In [Robotics](https://www.marketresearchfuture.com/reports/robotics-market-4732) Market was valued at USD 23.65 billion in 2025 and is projected to reach USD 26.56 billion in 2026, climbing to USD 74.49 billion by 2035 at a CAGR of 12.14% over 2026–2035. Two policy anchors frame this trajectory. China's 14th Five-Year Plan for Robot Industry Development targets more than 20% annual growth in robot industry revenue and a doubling of manufacturing robot density [4], while the U.S. CHIPS and Science Act committed USD 52.7 billion to domestic semiconductor capacity, pulling AI-enabled automation into new fabs and electronics lines [8].

There is a technology trade behind the headline numbers. Robots programd point-by-point with teach pendants on fixed paths are losing way to systems that sense, plan and adapt through learning models. Capital is monitoring that move: February 2024: Figure AI raised USD 675 million at a valuation of USD 2.6 billion to market general-purpose humanoids [19]. March 2025: NVIDIA launched their Isaac GR00T N1 humanoid foundation model as an open, configurable base for robot makers [16].

Regionally, Asia-Pacific leads in both scale and velocity, compounding at a 13.4% CAGR (2026–2035) led by China, Japan and South Korea. North America takes the second position with a 27.8% share (2025), led by warehouse automation and reshoring of electronics manufacture. Success in the next decade will depend less on mechanical perfection than on how fast robots can learn new tasks.

## Key Report Takeaways

### • By Component

- Hardware held a 57.4% share (2025) of the [Artificial Intelligence](https://www.marketresearchfuture.com/reports/artificial-intelligence-market-1139) In Robotics Market, anchored by sensors, actuators, and edge processors
- Software is the fastest-growing component at a 21.6% CAGR (2026–2035), led by machine learning & deep learning libraries
- Services generated USD 3.45 billion (2025) from integration, monitoring, and model retraining contracts

### • By Robot Type

- Industrial Robots accounted for a 63.1% share (2025), with Articulated Robots forming the core installed base
- Medical and Healthcare Robots are expanding at a 23.2% CAGR (2026–2035), the highest of any robot class

### • By Application

- Manufacturing and Assembly captured a 37.8% share (2025) through inline inspection and adaptive process control
- Logistics and Warehousing is growing at a 22.4% CAGR (2026–2035) as fulfillment networks scale mobile robot fleets

### • By End-user Industry

- Automotive retained a 25.7% share (2025), driven by welding, painting, and EV battery assembly
- Healthcare is the fastest-growing end user at a 22.1% CAGR (2026–2035) within the Artificial Intelligence In Robotics Market

### • By Region

- Asia-Pacific is the fastest-growing region at a 13.4% CAGR (2026–2035)
- North America held a 27.8% share (2025), led by the United States
- Europe generated USD 4.71 billion (2025), with Germany as its largest national market

## Market Size and Forecast (2021–2035)

Artificial Intelligence: Historical values The Robotics Market was constructed bottom-up from robot shipping and installed-base data reported by the International Federation of Robotics [1][2], vendor segment disclosures [21], and AI software and services revenues attributed to robotic deployments. Forecast values are applied to adoption curves by application and area and cross-checked against announced capital projects and industrial policy targets. The historical increase has outperformed expected growth because the 2023-2025 era is a mix of recovery from the shortage and a wave of foundation-model investment. expected growth levels off as the installed base matures.

## Market Drivers

## Driver Impact Analysis

| Driver | ~% Impact on CAGR | Geographic Relevance | Impact Timeline | Ref |
| --- | --- | --- | --- | --- |
| Foundation-model robot programming | +2.4% | Global | Short-term (≤2 yr) | [16] |
| Manufacturing labor shortages | +2.1% | North America, Europe, Japan | Medium-term (2–4 yr) | [3] |
| E-commerce fulfillment automation | +1.8% | North America, Asia-Pacific | Short-term (≤2 yr) | [17] |
| National robotics and industrial policy | +1.5% | Asia-Pacific, North America, Europe | Long-term (≥4 yr) | [4][8] |
| Automotive and electronics production investment | +1.3% | Asia-Pacific, North America | Medium-term (2–4 yr) | [1] |
| Aging demographics and healthcare demand | +1.2% | Japan, Europe, North America | Long-term (≥4 yr) | [12][13] |

### Foundation-Model Robot Programming

Pre-trained vision-language-action models are collapsing the time needed to teach robots new tasks. NVIDIA's Isaac GR00T N1, released in March 2025, gives developers an open humanoid foundation model that can be post-trained on a fraction of the data previously required [16]. Google DeepMind's Gemini Robotics models, unveiled the same month, extend general reasoning to physical manipulation [23]. For buyers, the practical effect is shorter commissioning cycles and economic automation of lower-volume tasks that never justified custom programming.

### Manufacturing Labor Shortages

Workforce gaps are forcing automation decisions that cost studies alone never triggered. and The Manufacturing Institute estimate the United States will need 3.8 million manufacturing workers between 2024 and 2033, and that 1.9 million of those roles could go unfilled [3]. Plants facing chronic vacancies in welding, machine tending, and quality inspection increasingly specify AI-equipped robots that can absorb part variation, because rigid automation cannot cover the full range of jobs left open.

### E-commerce Fulfillment Automation

Same-day delivery expectations have turned warehouses into the most aggressive adopters of learned navigation and picking. Amazon deployed its one-millionth robot in July 2025 and introduced DeepFleet, a generative AI model that improves robot fleet travel efficiency by 10% [17]. That scale matters beyond one company: it validates mobile manipulation economics for third-party [logistics](https://www.marketresearchfuture.com/reports/logistics-market-5076) providers and retailers, who now benchmark fulfillment cost per unit against AI-coordinated fleets.

### National Robotics and Industrial Policy

Governments now treat robotics capability as strategic infrastructure. China's robot industry plan targets more than 20% annual revenue growth [4], and its 2023 guidelines on humanoid robots set a goal of mass production capability by 2025 [5]. In the United States, the USD 52.7 billion CHIPS program is funding fabs that are among the most automated facilities built [8]. These programs create multi-year demand floors that hold even through cyclical capital spending slowdowns.

### Automotive and Electronics Production Investment

Vehicle electrification and chip localization are generating new greenfield lines designed around intelligent automation from day one. Automotive and electrical/electronics manufacturers together absorbed nearly half of the 541,302 industrial robots installed worldwide in 2023 [1]. [Battery](https://www.marketresearchfuture.com/reports/battery-market-2930) cell handling, module assembly, and wafer logistics demand vision-guided precision and adaptive force control, which pushes buyers toward AI-enabled cells rather than conventional fixed automation.

### Aging Demographics and Healthcare Demand

Population aging is creating labor demand that healthcare systems cannot staff. The United Nations projects people aged 65 and over will rise from 761 million in 2021 to 1.6 billion by 2050 [12]. Japan's Ministry of Health, Labour and Welfare estimates the country will need roughly 570,000 additional care workers by fiscal 2040 [13]. Surgical systems, hospital logistics robots, and care-assist devices are the direct beneficiaries, with regulatory clearances such as the da Vinci 5 approval widening the procedure base [18].

## Restraints

## Restraints Impact Analysis

The negative impact estimates below reflect the directional drag each restraint places on growth in the Artificial Intelligence In Robotics Market. They are analyst judgments, partly overlapping, and should not be summed against the drivers in Section 4.

| Restraint | ~% Impact on CAGR | Geographic Relevance | Impact Timeline | Ref |
| --- | --- | --- | --- | --- |
| High upfront and integration costs | -1.6% | Global, especially SMEs | Short-term (≤2 yr) | [1] |
| AI and robotics talent scarcity | -1.1% | Global | Medium-term (2–4 yr) | [3] |
| Regulatory and safety certification complexity | -0.9% | Europe, North America | Medium-term (2–4 yr) | [6][7][10] |
| Cybersecurity and data governance risks | -0.8% | Global | Long-term (≥4 yr) | [11] |
| Semiconductor export controls and trade friction | -1.0% | Asia-Pacific, North America | Short-term (≤2 yr) | [9] |

### High Upfront and Integration Costs

System integration, safety guarding, and data preparation frequently cost more than the robot itself, which deters small and mid-sized manufacturers. The adoption gap is visible in density data: the United States operates 295 robots per 10,000 manufacturing employees, against 1,012 in South Korea [1]. Until financing models and no-code deployment tools mature, many SMEs will remain priced out of AI-enabled cells.

### AI and Robotics Talent Scarcity

Deploying learned systems requires engineers who understand both controls and machine learning, a rare combination. The same labor shortage that drives adoption also slows it: with up to 1.9 million U.S. manufacturing roles at risk of going unfilled [3], plants struggle to hire the technicians who maintain, retrain, and troubleshoot [AI robots](https://www.marketresearchfuture.com/reports/ai-robots-market-6684). Integrator backlogs lengthen project timelines as a result.

### Regulatory and Safety Certification Complexity

Vendors face overlapping rulebooks. The EU AI Act classifies AI safety components in machinery as high-risk, with obligations applying from August 2027 [6], while the revised Machinery Regulation (EU) 2023/1230 applies from January 2027 [7]. The updated ISO 10218-1:2025 standard adds requirements for collaborative operation and functional safety [10]. Certification costs weigh most heavily on start-ups with learned, non-deterministic control.

### Cybersecurity and Data Governance Risks

Connecting robots to cloud-hosted models expands the attack surface of production networks. The IEC 62443 series sets security levels for industrial automation and control systems [11], but many installed controllers predate it. Manufacturers in defense, pharmaceuticals, and semiconductors often restrict data export from robot cells, limiting the fleet learning that makes AI robots improve over time.

### Semiconductor Export Controls and Trade Friction

High-performance AI chips power robot perception and on-device inference, and their trade is increasingly restricted. The U.S. Bureau of Industry and Security tightened controls on advanced computing items in October 2023 [9], complicating supply for Chinese robot makers and multinational vendors serving Chinese plants. Tariff uncertainty on components adds cost and forces dual-sourcing that slows product roadmaps.

## Opportunities

## Artificial Intelligence in Robotics Market Opportunities

### General-Purpose Humanoids for Brownfield Plants

Most factories were built for human bodies, not robot cells. Humanoids that fit existing workstations avoid costly line redesign, and Goldman Sachs estimates the humanoid robot segment could reach USD 38 billion by 2035 [15]. Early contracts in automotive and logistics, following funding rounds such as Figure AI's USD 675 million raise [19], give vendors a path to validate unit economics in tote handling and machine tending.

### Robots-as-a-Service and Fleet Data Monetization

Subscription pricing converts large capital outlays into per-hour or per-pick fees, removing the chief barrier for smaller buyers. The larger prize is data: vendors operating smart robotics systems across hundreds of sites can aggregate performance data to improve models and sell optimization analytics. Amazon's DeepFleet shows how fleet-level learning yields measurable efficiency gains [17], a model third-party vendors are now replicating.

### Emerging Markets in India, Brazil, and Saudi Arabia

Industrial policy in emerging economies is opening greenfield demand. India's Production Linked Incentive schemes cover 14 sectors with an outlay of ₹1.97 lakh crore [24]. Brazil's Nova Indústria Brasil program earmarks BRL 300 billion in financing through 2026 [22], and Saudi Arabia's National Industrial Strategy aims to raise industrial exports to SAR 557 billion by 2030 [25]. New plants can adopt AI robots without legacy retrofit costs.

### Eldercare and Hospital Logistics

Care-worker shortages create demand for robots that lift, deliver, and monitor. Professional service robot sales rose about 30% in 2023 to nearly 205,000 units [2], and Japan's projected care-worker gap [13] makes it a proving ground. Vendors that pair hospital logistics robots with nurse-call and records integration can move from single-ward pilots to system-wide contracts.

### Simulation, Synthetic Data, and Digital Twins

Data scarcity remains the binding constraint on robot learning. Simulation platforms that generate synthetic training data let developers train policies before physical deployment, and NVIDIA positions its GR00T tooling around this workflow [16]. [Software](https://www.marketresearchfuture.com/reports/software-market-11924) vendors that own the simulation-to-deployment pipeline can charge recurring fees tied to every robot trained, independent of hardware margins.

## Future Outlook

## Artificial Intelligence in Robotics Market Future Outlook

### Embodied Foundation Models Become the Control Layer

Robot intelligence is moving from task-specific code to general models that reason about the physical world. Google DeepMind's Gemini Robotics [23] and NVIDIA's GR00T N1 [16] signal that cognitive robotics is becoming a platform category rather than a research niche. By the early 2030s, buyers will likely select robots partly by the model ecosystem they run, much as they choose phones by operating system, shifting margin toward model and data owners.

### Humanoid Scale-Up and Unit Economics

Humanoids will be judged on cost per productive hour, not demonstrations. Goldman Sachs projects USD 38 billion in humanoid revenue by 2035 [15], but that outcome depends on bill-of-materials costs falling as actuator and battery volumes rise. Chinese suppliers, backed by national mass-production goals [5], are likely to set the price floor, forcing Western vendors to compete on software, safety certification, and service.

### Platform Economics and Fleet Interoperability

With more than 4.28 million industrial robots operating worldwide [1], the next competitive battleground is orchestration across mixed fleets. Open standards such as ROS 2 and the VDA 5050 interface for mobile robots let operators combine vendors under one control plane. Platform owners that manage heterogeneous fleets will capture recurring revenue, while single-brand hardware vendors risk commoditization unless they own the orchestration layer.

### Energy, Compute, and Sustainability Reporting

AI robotics depends on data center and edge compute with a real energy cost. The IEA projects global data center electricity consumption rising from about 415 TWh in 2024 to around 945 TWh by 2030 [14]. Manufacturers reporting Scope 2 emissions will scrutinize the energy profile of cloud-trained robot models, favoring efficient on-device inference and vendors that disclose training and operating energy.

## Segment Insights

## Artificial Intelligence in Robotics Market Segmentation

The segmentation below covers the Artificial Intelligence In Robotics Market across four dimensions. Regional analysis appears in Section 7.

### By Component

| Segment | Key Metric | Primary Demand Driver |
| --- | --- | --- |
| Hardware | 57.4% share (2025) | Sensors, actuators, and edge processors for perception and precise motion |
| Software | 21.6% CAGR (2026–2035) | Machine learning & deep learning libraries and computer vision stacks |
| Services | USD 3.45 billion (2025) | Integration, remote monitoring, and model retraining contracts |

Within the Artificial Intelligence In Robotics Market, hardware leads because every deployment needs sensors, force-torque units, cameras, and edge compute modules, and modular designs now let buyers swap grippers or AI boards without replacing the robot. Software is growing fastest as pre-trained perception and motion-planning libraries raise equipment effectiveness on existing machines. Services form a steady annuity, with retraining contracts expanding as models require periodic updates to handle new parts and conditions.

### By Robot Type

| Segment | Key Metric | Primary Demand Driver |
| --- | --- | --- |
| Industrial Robots | 63.1% share (2025) | Articulated Robots in welding, painting, and material handling |
| Collaborative Robots | USD 2.25 billion (2025) | High-mix, low-volume production flexibility |
| Service Robots | 17.8% CAGR (2026–2035) | Logistics, cleaning, and hospitality automation |
| Medical and Healthcare Robots | 23.2% CAGR (2026–2035) | Surgical assistance and hospital logistics |

Industrial Robots dominate the Artificial Intelligence In Robotics Market, with Articulated Robots forming the bulk of an installed base that now exceeds 4.28 million units [1]. AI upgrades let these arms handle variable part geometries without re-teaching. Medical and Healthcare Robots are the fastest-growing class, as vision-guided surgical platforms such as da Vinci 5 [18] and autonomous hospital delivery robots scale. Collaborative Robots serve plants needing frequent changeovers.

### By Application

| Segment | Key Metric | Primary Demand Driver |
| --- | --- | --- |
| Manufacturing and Assembly | 37.8% share (2025) | Inline quality inspection and adaptive process control |
| Logistics and Warehousing | 22.4% CAGR (2026–2035) | E-commerce order fulfillment and mobile robot fleets |
| Healthcare and Surgery | USD 3.10 billion (2025) | Minimally invasive procedures and clinical logistics |
| Inspection and Maintenance | 9.4% share (2025) | Asset monitoring in energy and infrastructure |
| Retail and Customer Service | 16.9% CAGR (2026–2035) | Shelf scanning and in-store assistance |

Manufacturing and Assembly remains the largest application in the Artificial Intelligence In Robotics Market, as embedded vision detects micro-defects and edge analytics predicts failures before they halt production. Logistics and Warehousing grows fastest, with mobile robots using LiDAR and AI routing to adapt to changing inventory positions [17]. Healthcare and Surgery and Retail and Customer Service expand steadily, while Inspection and Maintenance gains traction in utilities and oil and gas.

### By End-user Industry

| Segment | Key Metric | Primary Demand Driver |
| --- | --- | --- |
| Automotive | 25.7% share (2025) | Body-in-white welding, painting, and EV battery assembly |
| Electronics and Semiconductors | USD 4.49 billion (2025) | Wafer handling and precision assembly |
| Healthcare | 22.1% CAGR (2026–2035) | Surgical volumes and care-worker shortages |
| Logistics and E-commerce | 16.8% share (2025) | Parcel sortation and goods-to-person picking |
| Food and Beverage | USD 1.99 billion (2025) | Hygienic handling and packaging variability |
| Others | 10.2% CAGR (2026–2035) | Agriculture, construction, and energy |

Automotive is the largest end user of the Artificial Intelligence In Robotics Market, and generative AI now accelerates programming for new model variants and battery lines. Healthcare is the fastest-growing end user, driven by aging populations [12] and expanding surgical robot indications. Electronics and Semiconductors benefits from CHIPS-funded fab construction [8], while Logistics and E-commerce and Food and Beverage adopt AI robots to cope with product variety and labor gaps.

## Regional Market Share Analysis

## Regional Market Share Analysis

| Region | Key Metric | Primary Investment Themes |
| --- | --- | --- |
| North America | 27.8% share (2025) | Warehouse automation, reshored electronics, surgical robotics |
| Europe | USD 4.71 billion (2025) | Automotive automation, certified collaborative systems |
| Asia-Pacific | 13.4% CAGR (2026–2035) | Electronics and EV production, humanoid programs, robot density targets |
| South America | 10.8% CAGR (2026–2035) | Automotive and food processing modernization |
| Middle East & Africa | 3.8% share (2025) | Diversification-led greenfield manufacturing, logistics hubs |
| Total | USD 23.65 billion (2025) | — |

Regional demand in the Artificial Intelligence In Robotics Market follows manufacturing intensity, labor costs, and state support for automation. Asia-Pacific combines the world's largest robot installation base with the fastest growth, while North America and Europe compete on software, healthcare robotics, and safety-certified systems.

### North America

| Country | Key Metric | Key Driver |
| --- | --- | --- |
| United States | USD 5.92 billion (2025) | Fulfillment automation, CHIPS-funded fabs, surgical robotics |

The United States dominates regional demand. Its 37,587 industrial robot installations in 2023 [1] understate AI intensity, because the country also leads in warehouse mobile robots and surgical systems. CHIPS Act funding [8] is building fabs with dense automation, and venture capital concentrates in Bay Area and Boston humanoid and foundation-model start-ups. Labor scarcity [3] keeps automotive and food processing investment steady even when broader capital spending slows.

### Europe

| Country | Key Metric | Key Driver |
| --- | --- | --- |
| Germany | 31.5% of regional revenue (2025) | Automotive and machinery automation |
| United Kingdom | 11.2% CAGR (2026–2035) | Healthcare and logistics robotics |
| France | USD 0.72 billion (2025) | Aerospace and food processing |
| Rest of Europe | 10.4% CAGR (2026–2035) | Nordic and Central European manufacturing |

Germany anchors European demand with 28,355 robot installations in 2023 and a density of 429 robots per 10,000 employees [1]. Europe's distinctive feature is regulation: the AI Act [6] and Machinery Regulation [7] raise compliance costs but also create a premium for certified, explainable systems that European vendors are positioned to supply. The United Kingdom's growth rests on NHS surgical adoption and grocery fulfillment automation.

### Asia-Pacific

| Country | Key Metric | Key Driver |
| --- | --- | --- |
| China | 46.8% of regional revenue (2025) | Robot density targets, humanoid mass-production goals |
| Japan | USD 2.26 billion (2025) | Eldercare demand, robot OEM ecosystem |
| South Korea | 12.9% CAGR (2026–2035) | Electronics and battery manufacturing |
| India | 17.1% CAGR (2026–2035) | PLI-driven electronics and automotive capacity |
| Rest of Asia-Pacific | 9.6% of regional revenue (2025) | Electronics assembly relocation |

China installed 51% of all industrial robots deployed globally in 2023 [1], and its 2023 humanoid guidelines [5] are pulling domestic AI start-ups into the Artificial Intelligence In Robotics Market at scale. South Korea runs the world's highest robot density at 1,012 units per 10,000 employees [1]. Japan pairs a deep OEM base with acute care-worker shortages [13], while India's robot installations rose 59% in 2023 [1] on PLI-backed electronics expansion [24].

### South America

| Country | Key Metric | Key Driver |
| --- | --- | --- |
| Brazil | 58.0% of regional revenue (2025) | Automotive and agribusiness processing |
| Rest of South America | 9.7% CAGR (2026–2035) | Mining and food processing automation |

Brazil leads the region, supported by Nova Indústria Brasil's BRL 300 billion financing envelope, which prioritizes digital transformation of industry [22]. Automotive plants operated by global OEMs are the first adopters of vision-guided robots, followed by meat and grain processors. Currency volatility and import duties on robots remain the main brakes on faster uptake across the region.

### Middle East & Africa

| Country | Key Metric | Key Driver |
| --- | --- | --- |
| Saudi Arabia | 14.1% CAGR (2026–2035) | National Industrial Strategy, greenfield factories |
| United Arab Emirates | USD 0.21 billion (2025) | Logistics hubs, national AI strategy |
| Rest of Middle East & Africa | 46.0% of regional revenue (2025) | South African automotive and mining |

Saudi Arabia's National Industrial Strategy, targeting SAR 557 billion in industrial exports by 2030 [25], funds new plants that can specify AI robots from the start. The United Arab Emirates focuses on port, airport, and e-commerce logistics automation. South Africa's automotive cluster accounts for much of the remaining regional demand, though skills shortages limit deployment depth.

## Competitive Benchmarking

## Competitive Benchmarking

The Artificial Intelligence In Robotics Market is moderately concentrated. Our estimate of the Herfindahl-Hirschman Index is in the range of 650-800 and the combined top-five share is about 33-40%. Established robot OEMs dominate hardware revenue, while chipmakers, cloud platforms and well-funded start-ups are competing for the software and model layer. Consolidation is accelerating, as demonstrated by SoftBank Group’s $5.375 billion deal to acquire ABB’s robotics unit [20].

| Company | Est. Revenue Share Range | Key Offerings for Artificial Intelligence In Robotics Market | Strategic Positioning |
| --- | --- | --- | --- |
| ABB Ltd. (Robotics) | ~7–9% | Industrial and collaborative robots, OmniCore controllers, AI vision picking | Broad installed base; ownership moving to SoftBank Group [20][21] |
| FANUC Corporation | ~7–9% | Industrial robots, AI servo tuning, vision-guided cells | Cost and reliability leader in factory automation |
| Yaskawa Electric Corporation | ~5–7% | Motoman robots, AI-enabled motion control | Strong in automotive and electronics |
| KUKA AG (Midea Group) | ~4–6% | Industrial robots, medical robotics platforms, simulation software | Automotive depth with Chinese market access |
| NVIDIA Corporation | ~5–8% | Jetson edge modules, Isaac platform, GR00T foundation models | Compute and model layer across OEMs [16] |
| Intuitive Surgical, Inc. | ~6–8% | da Vinci surgical systems, procedure analytics | Dominant surgical robotics franchise [18] |
| Teradyne (Universal Robots, MiR) | ~2–4% | Collaborative robots, autonomous mobile robots | Cobot and mobile robot leader for SMEs |
| Amazon Robotics | ~3–5% | Warehouse robots, DeepFleet fleet AI | Largest captive mobile robot fleet [17] |
| Boston Dynamics (Hyundai Motor Group) | ~1–2% | Spot, Stretch, electric Atlas | Advanced mobility with automotive parent |
| Alphabet (Google DeepMind) | ~1–3% | Gemini Robotics models | Foundation-model supplier to robot makers [23] |

## Recent News & Developments

## Recent News & Developments

Recent activity in the Artificial Intelligence In Robotics Market centers on foundation models, capital raises, regulation, and consolidation.

- Figure AI (February 2024): Closed a USD 675 million Series B at a USD 2.6 billion valuation, signaling investor appetite for general-purpose humanoids [19]
- Intuitive Surgical (March 2024): Received FDA 510(k) clearance for da Vinci 5, adding force feedback and greater computing power to its surgical platform [18]
- European Union (August 2024): The AI Act entered into force, setting a phased timeline for high-risk AI in machinery [6]
- International Organization for Standardization (2025): Published the revised ISO 10218-1:2025 industrial robot safety standard [10]
- NVIDIA (March 2025): Released Isaac GR00T N1, an open humanoid foundation model, at its GTC conference [16]
- Google DeepMind (March 2025): Launched Gemini Robotics and Gemini Robotics-ER for general-purpose physical tasks [23]
- Amazon (July 2025): Deployed its one-millionth robot and introduced DeepFleet to raise fleet travel efficiency by 10% [17]
- SoftBank Group (October 2025): Agreed to acquire ABB's robotics division for USD 5.375 billion, reshaping the OEM landscape [20]

## Report Scope

| Parameter | Details |
| --- | --- |
| Market Scope | Artificial Intelligence In Robotics Market revenue from AI-enabled hardware, software, and services across robot types, applications, and end users |
| Study Period | 2021–2035 (Historical: 2021–2024; Base Year: 2025; Forecast: 2026–2035) |
| CAGR | 12.14% (2026–2035) |
| Market Size checkpoints | USD 23.65 billion (2025); USD 26.56 billion (2026); USD 42.00 billion (2030); USD 74.49 billion (2035) |
| Fastest Growing Segments | Software (21.6% CAGR); Medical and Healthcare Robots (23.2% CAGR); Logistics and Warehousing (22.4% CAGR); Healthcare (22.1% CAGR); Asia-Pacific (13.4% CAGR) |
| Companies Profiled | ABB, FANUC, Yaskawa, KUKA, NVIDIA, Intuitive Surgical, Teradyne, Amazon Robotics, Boston Dynamics, Alphabet (Google DeepMind) |
| Valuation Currency | USD Billion (constant 2025 exchange rates) |

## Frequently Asked Questions

**Q: How should buyers evaluate total cost of ownership in the Artificial Intelligence In Robotics Market?**
A: Budget for integration, safety guarding, and model retraining alongside the robot price, since these often exceed hardware cost. Payback under 24 months usually requires multi-shift utilization and a stable part mix [21].

**Q: Is Robots-as-a-Service a safer entry route than outright purchase?**
A: For plants with volatile volumes, usually yes. Subscriptions shift uptime risk to the vendor and turn capital expense into operating expense, though multi-year costs can exceed ownership [17].

**Q: Which cybersecurity framework applies to robots in the Artificial Intelligence In Robotics Market?**
A: IEC 62443 is the reference framework for securing industrial control systems, including robot controllers. Buyers should require documented secure update pipelines and network segmentation before linking robots to cloud models [11].

**Q: How do simulation-trained robots compare with robots programmed on the shop floor?**
A: Simulation-first training shortens commissioning because policies are refined on digital twins before deployment. The trade-off is the sim-to-real gap, which still demands on-site tuning for friction, lighting, and part variation [16].

**Q: Which emerging use cases could reshape the Artificial Intelligence In Robotics Market after 2030?**
A: Agricultural harvesting, construction layout, and in-home assistance are the leading candidates. Each requires manipulation in unstructured settings, a capability general-purpose models are only beginning to demonstrate [23].

**Q: Can one technical file cover both EU AI Act and Machinery Regulation obligations?**
A: Largely, yes. The two regimes were designed to interlock, so vendors can document AI risk management within the machinery conformity file, cutting duplicate certification work [6][7].

**Q: How are workforce roles changing where AI robots are deployed?**
A: Demand shifts from manual operators toward robot technicians, data annotators, and cell supervisors. Vendors across the Artificial Intelligence In Robotics Market increasingly bundle training academies with equipment contracts [3].


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