
Soft Robotics for Industrial Applications Market
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The global soft robotics for industrial applications market was estimated at USD 2.02 billion in 2025. The market is expected to grow from USD 2.15 billion in 2026 to USD 33.3 billion in 2035, at a CAGR of 7.1%, according to latest report published by Global Market Insights Inc.
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The principal driving force for the high-end application of soft robotics in industry is basically because of innovations in flexible actuators and bio-inspired materials science research. There is a rising need, basically because of a strategic merger and acquisition phenomenon in the principal players in the robotics business, for example, the acquisition of the mGrip product line by Schmalz in 2024, and thus the need for improving process and handling throughput for delicate or irregular products. Market integration for the principal players in the business indicates massive breakthroughs, technological diversification, and a stronger presence in the world manufacturing sector. The underlying premise for traditional fixed automation solutions, for example, simple hard-coded articulated robots or rigid jaw grippers, get significantly replaced by high-compliance AI-controlled soft robots.
"Agentic AI" soft robots and generative modeled systems are a more data-driven form of production since they can measure motion metrics and environmental variables such as pressure and deformation in real time to maximize even the most complex cell in a short period. The deployment of this technology meets with a trend within industries to move towards personalized or high-mix production. As such, this is a significant growth contributor to the marketplace.
Rising demand for reshoring and smart factory solutions in the North American region and an increase in the budget allocated to labor and automation in the European and Asia-Pacific markets are the key drivers that have resulted in the commercial viability of the device. Factory owners as well as systems engineers are prepared to opt for the efficient and technology-updated process for their productions.
One of the most prominent movers in the high-performance soft machinery market is multi-modal sensor fusion (integration of electronic skins), along with AI modeled motion planning, which has found acceptance because of its proven benefits like shorter cycling times and an absolute assurance that it would never cause damage to sensitive workpieces. However, it is one market which is mostly propelled because of its dependency on knowledge about the beneficial integration function of digital twins in flexible materials. Additionally, human-robot interaction in terms of safe and convenient interaction is also going to witness advancements in areas like touch feedback and vibration-reduced polymers.
These factors cumulatively create the reason for the positive financial performance of the market, added to which are increasing adoption rates, industrywide progression toward IT/OT convergence, and demands for performance of high efficiency. Indeed, the gradual transformation of basic industrial tools into highly durable professional-grade soft autonomous machinery is vastly dependent on the advancements in material science. For now, the industry is set to witness a significant changeover in favor of self-healing elastomers, carbon-reinforced composites, and high-resilience hydrogels that not only can increase the lifecycle of a product but also enhance the energy transfer across a wide range of payloads and environmental conditions.
The rationale of manufacturers for better user experience lies in the integration of IoT-enabled diagnostics for real-time health analytics of flexible components, along with variable control systems allowing better maneuverability on the factory floor. Driving the Soft Robotics market is increasing interest from SMEs looking for cost-effective safety, rapid proliferation of "dark warehouses," and, professionally, data-backed process improvements.
For instance, in December 2022, Hyundai Motor Group started two pilot service programs employing modular platform autonomous robots at Rolling Hills Hotel in US. The PnD based robot delivers food and amenities directly to customers’ rooms while another robot takes care of outside delivery services within a residential/commercial complex in collaboration with the Korean delivery firm, Woowa Brothers.
As the demand in hospitality and healthcare sectors is growing, the adoption of soft robotics technologies is also increasing. According to the report from Bureau of Labor Statistics, the United States required additional 0.5 million nurses by 2024 representing an increase of 16% from 2014 figure of 2.7 million. There is increased need for health services, especially in developed countries with aging population. The increasing demand for healthcare services can be managed by soft robotics in healthcare facilities by automating logistics and providing more time for staff to focus on patient care.
| Key Takeaway | Details |
|---|---|
| Market Size & Growth | |
| Base Year | 2025 |
| Market Size in 2025 | USD 2.02 Billion |
| Market Size in 2026 | USD 2.15 Billion |
| Forecast Period 2026-2035 CAGR | 7.1% |
| Market Size in 2035 | USD 33.3 Billion |
| Key Market Trends | |
| Drivers | Impact |
| Labor shortages & reshoring | Demographic declines in manufacturing hubs are driving a transition from manual labor to "Agentic AI" robots that require minimal human supervision. |
| Generative AI & LLM Integration | The move from "rule-based" to "intent-based" programming allows non-technical staff to control robots via natural language, lowering the barrier to entry. |
| IT/OT Convergence | The blending of Information Tech (AI/Data) with Operational Tech (Hardware) enables real-time digital twin synchronization and predictive maintenance. |
| Pitfalls & Challenges | Impact |
| High Integration Complexity | Retrofitting legacy factory floors with AI sensors and ensuring interoperability between different robot brands remains a significant technical hurdle. |
| Data Privacy & Cybersecurity | As robots become IoT-enabled and cloud-connected, the risk of industrial espionage and cyber-attacks on production lines increases. |
| Opportunities: | Impact |
| Increasing services such Robot-as-a-Service (RaaS) | Subscription-based models allow SMEs to deploy advanced AI robotics without the massive upfront capital expenditure (CapEx). |
| Humanoid General-Purpose Robots | Advancements in "Physical AI" (like Tesla’s Optimus or Figure AI) offer the potential for robots to perform multi-purpose tasks in human-centric environments. |
| Market Leaders (2025) | |
| Market Leader |
7% market share |
| Top Players |
Consolidate share of 32% |
| Competitive Edge |
|
| Regional Insights | |
| Largest Market | North America |
| Fastest growing market | Asia Pacific |
| Emerging countries | China, India, Brazil |
| Future outlook |
|
The global soft robotics for industrial applications market is during a paradigm shift, fuelled by the convergence of material science and flexible actuation, as well as rapid advancement in artificial intelligence. Concretely, this market is being transformed by companies introducing next-generation compliant systems capable of agentic AI decision-making, bio-inspired tactile sensing, 5G-enabled edge computing, and vision-language models for delicate manipulation, among other breakthrough technologies. In sum, these are targeted at changing manufacturers who need agile, "zero-code" solutions to manage high-mix, low-volume production. Their response to the trends within the industry is a commitment to further innovation that arms factories with state-of-the-art tools to increase productivity without "downtime penalties" and help bring about a self-correcting, resilient ecosystem in manufacturing.
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Based on the robot type, the market is divided into soft grippers, inflatable robots, exoskeletons, wearables, and others. The soft grippers segment held the largest share, accounting for 35.7% of the global soft robotics market in 2026, with a valuation of USD 0.8 billion.
Specialized and high-tech, modern soft exoskeletons are ideal for enhancing the human-robot collaboration experience. Manufacturers appreciate the convenience of AI-integrated hardware for specialized, high-repetition performance tracking and worker injury prevention.
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Based on components, the soft robotics for industrial applications market is segmented into soft actuators, soft sensors, control systems, power sources, and others. In 2026, the soft actuators segment held a major market share of 35.5%.
Based on the end user, the oft robotics for industrial applications market is segmented into smartphones (electronics), tablets, desktop PCs, laptops, connected home devices, and others. In 2026, the smartphones (electronics assembly) segment held the major market share of 35.2%, reflecting the industry’s reliance on high-precision, non-marring assembly for delicate components.
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North America market in 2025, North America is the largest market for soft robotics in industrial applications. It has an estimated market value of USD 0.5 billion in 2025 with a projected growth rate of 7.3% through 2035.
Europe market is a significant market, estimated at USD 0.5 billion in 2025 with a projected growth rate of 6.8%. Germany leads the region with a sub-regional growth rate of 7.4%, followed by France and the UK.
Asia Pacific is the second largest and fastest-growing regional market. It has an estimated market value of USD 0.6 billion in 2025 with the highest projected growth rate of 7.7% through 2035.
Latin America represents a smaller segment of the global market, expected to grow at 5.6% from 2026 to 2035.
Schmalz GmbH is leading the market with approximately 7% market share. Top players including Shadow Robot Company, Schmalz GmbH, Soft Robot Tech (SRT), Kawasaki Robotics, and Universal Robots collectively hold around 32%, indicating a moderately consolidated yet competitive landscape. These prominent players are proactively involved in strategic endeavors, such as mergers & acquisitions, facility expansions, and collaborations, to expand their product portfolios, extend their reach to a broad customer base, and strengthen their market position.
Festo SE & Co. KG continues to solidify its leadership by embracing bio-inspired open-source ecosystems. In a major strategic shift, Festo recently announced expanded support for ROS 2 (Robot Operating System) across its BionicSoftHand and pneumatic actuator lines, allowing developers to use Python for complex soft-robotic deformation control. This move, combined with their ongoing research into Physical AI, aims to unlock autonomous "gentle touch" capabilities, making sensitive industrial hardware more accessible to software engineers specializing in non-linear materials.
Soft Robotics Inc. (rebranding as Oxipital AI) is undergoing a massive structural transformation, having completed the divestiture of its hardware division to focus entirely on Visual AI and machine perception by Q2 2026. This "pure-play" AI company now focuses on high-growth areas like software-defined picking and autonomous quality inspection for fragile goods. To lower adoption barriers, they recently launched an AI-driven "Compliance Studio," a no-code platform that allows even non-specialists to calibrate soft-gripper pressure and path planning, effectively democratizing delicate automation for SMEs
Major players operating in the soft robotics for industrial applications industry are:
Teradyne’s Universal Robots (UR) has aggressively targeted the "Physical AI" sector with the launch of its AI Accelerator toolkit at NVIDIA GTC 2025. This toolkit integrates NVIDIA Isaac libraries into UR’s PolyScope X platform, enabling cobots to perform tasks like bimanual assembly and LLM-driven programming. In December 2025, Teradyne also announced the opening of a new U.S. Operations Hub in Michigan for 2026 to support the massive reshoring trend in North American manufacturing.
The soft robotics for industrial applications market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue (USD billion) and volume (thousand units) from 2022 to 2035 for the following segments:
The above information is provided for the following regions and countries:
Major players include ABB Ltd, Agility Robotics, Inc., Boston Dynamics, Inc., FANUC Corporation, Figure AI, Inc., Kawasaki Heavy Industries Ltd., Keyence Corporation, and KUKA SE & Co. KGaA.
Key trends include the development of next-generation compliant systems, integration of bio-inspired tactile sensing, adoption of 5G-enabled edge computing, and the use of vision-language models for delicate manipulation.
North America was the largest market in 2025, with an estimated value of USD 0.5 billion. The region is projected to grow at a rate of 7.3% through 2035, driven by strong industrial infrastructure and technological advancements.
The smartphones (electronics assembly) segment led the market with a 35.2% share in 2026, reflecting the industry's reliance on high-precision, non-marring assembly for delicate components.
The soft actuators segment held a significant market share of 35.5% in 2026.
The market is expected to grow to USD 2.15 billion in 2026.
The soft grippers segment held the largest share, accounting for 35.7% of the market in 2026, with a valuation of USD 0.8 billion.
The market is expected to reach USD 33.3 billion by 2035, fueled by innovations such as agentic AI decision-making, bio-inspired tactile sensing, and 5G-enabled edge computing.
The market size was USD 2.02 billion in 2025, with a CAGR of 7.1% projected through 2035, driven by advancements in material science, flexible actuation, and artificial intelligence.
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