Robot Software Market
Report ID: SQMIG45F2206
Report ID: SQMIG45F2206
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Report ID:
SQMIG45F2206 |
Region:
Global |
Published Date: May, 2025
Pages:
196
|Tables:
114
|Figures:
72
Global Robot Software Market size was valued at USD 10.13 Billion in 2024 and is poised to grow from USD 12.38 Billion in 2025 to USD 61.99 Billion by 2033, growing at a CAGR of 22.3% during the forecast period (2026–2033).
Surge in demand for automation and security in companies and rapid adoption of robot software by SMEs to reduce the cost of labor and energy drive the global robot software market growth. Further, the increase in usage of robots across industries fuels the growth of the market positively.
The fast advancement of AI and ML into robotics software, specifically in agriculture, is among the major drivers for the demand of robotic software all over the globe. For example, AI and ML are applied to develop robots that can harvest and care for crops on their own, leading to increased efficiency and reduced costs. Robotics is used to mechanize work in agriculture, for example, planting, harvesting, and spraying. AI and ML technology are employed to automate the farm activities, such as predicting weather, management of water, and monitoring crop health. Collaborative robots' technology is also a driving force for robotic software market expansion. Collaborative robots are expanding at an exponential rate because they become more intelligent and productive in alleviating some of the biggest robotic automation challenges. Collaborative robots are making tasks possible that were previously not performed by industrial robots, pushing the limits of what is possible through automation. The collaborative robots' market will account for 29% of global industrial robot's market by 2027.
Technological advancements such as embedded vision are equipping collaborative robots to sense human presence and avoid unsafe behavior and hazardous collisions. AI & ML enable these robots to understand spoken commands and respond with natural language, making it easy to collaborate. With the help of AI collaborative robots can identify new objects by looking at a human or via virtual reality without a library of training images. All these advancements will benefit the growth of the global robot software market during the forecast period.
Market snapshot - 2026-2033
Global Market Size
USD 8.28 billion
Largest Segment
Industrial Robot
Fastest Growth
Service Robot
Growth Rate
22.3% CAGR
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Global Robot Software Market is segmented by Software Type, Robot Type, Deployment Model, Organization Size, Vertical and region. Based on Software Type, the market is segmented into Recognition Software, Simulation Software, Predictive Maintenance Software, Data Management and Analysis Software and Communication Management Software. Based on Robot Type, the market is segmented into Industrial Robots and Service Robots. Based on Deployment Model, the market is segmented into On-Premises and On-Demand. Based on Organization Size, the market is segmented into Small and Medium-Sized Enterprises and Large Enterprises. Based on Vertical, the market is segmented into BFSI, Retail and Ecommerce, Government and Defense, Healthcare and Life Sciences, Transportation and Logistics, Manufacturing, Telecommunications and IT, Academia and Research and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
As per the 2024 global robot software market analysis, increasing industries embrace automation, the industrial robot segment, worth USD 12.6 billion in 2024, keeps growing. Since it gathers, analyzes, and releases robot performance statistics, industrial robot software is critical to companies that aim to boost productivity and optimize processes. It also offers modeling and visualization capabilities that allow users to locate and correct issues prior to the process actually running, reducing downtime and boosting productivity. Industrial robots are a critical component of contemporary manufacturing, logistics, and assembly-line operations due to these technologies, which result in higher production quality, improved safety, and cost savings.
Based on the global robot software market forecast, the data analytics & management software segment will grow at a compound annual rate (CAGR) of 25.6%. Bots produce vast quantities of sensor and actuator data, which need to be managed to ensure the best performance. Data analytics and management software enable real-time data gathering, organization, and analysis to support businesses with maintenance foreknowledge, increased efficiency, and understanding of robot performance. Robotic data analytics is being supplemented with AI and machine learning technology to enable more adaptive and smart automation. In industries where decision-making through data increases efficiency, such as logistics, healthcare, and industrial automation, this use is critical.
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North America dominated the robot software industry due to growing investments in Industry 4.0 technologies, automation, and artificial intelligence. Leading robot firms, cutting-edge R&D facilities, and extensive applications across manufacturing, defense, healthcare, and logistics all provide the region with the advantage. Corporate investment financing and government initiatives also help develop smart robotic systems. The North American market leadership is being supported by the increasing need for cooperative robots, AI-based automation, and cloud robotics software.
As the application of automation and AI-based robotics increases in the country, the U.S. robot software market was estimated to be USD 6.3 billion in 2024. Robotic software is increasingly used across retail, healthcare, logistics, and automotive sectors to improve accuracy, productivity, and efficiency. The demand for robotics process automation (RPA), smart manufacturing, and AI-based analytics has also contributed to the market growth. The U.S. continues to dominate the market because of robust government backing, growing R&D investments, and the presence of prominent robotics companies.
Asia-Pacific is expected to exhibit tremendous growth opportunities throughout the forecast period. The biggest economies leading the robot software market growth in this region are China, Japan, Singapore, South Korea, and India. The countries in this region are adopting robotics across all sectors at a growing rate. Apart from this, the cost of robot work cells has reduced by 5-10% per annum over the past few years and the speed and throughput of robots have significantly increased; due to which the adoption of robots is increasing, thereby driving the growth of the market in the region.
Europe will establish itself as a prominent position in the robot software market owing to improvements in industrial robotics, automation, and artificial intelligence. Growing need for smart robotic solutions originates from the robust manufacturing industry in the region, especially in Germany, France, and the UK. Industrial automation based on AI, autonomous mobile robots (AMRs), and collaborative robots (cobots) are all making progress. Furthermore, government initiatives supporting sustainable automation as well as intelligent manufacturing are fueling industry growth, positioning Europe as a leading world center for robotics software development.
Robotics software is growing immensely in Latin America due to growing applications of automation in logistics, manufacturing, and agriculture. Countries like Brazil, Mexico, and Argentina are investing in AI-based robots, smart manufacturing, and industrial automation to increase productivity and competitiveness. Additional market expansion is being driven by government programs and foreign investment in robotics R&D. Latin America is rapidly becoming an emerging hub for the use of robotics because industries like mining, energy, and healthcare are incorporating robotic software to streamline operations.
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Rise in Demand for Safety and Automation within Organizations
Rapid Adoption of Robot Software by SMEs to Minimize Labor and Energy Cost
High Initial Costs, Intricate Integration, and Demand for Highly Talented Workforce
Cybersecurity Threats and Interoperability Issues Inherent in Robot Software Deployment
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The global robot software market is competitive and extremely fragmented with the existence of global established firms along with domestic firms and start-ups. The leading global firms are ABB Ltd, Clearpath Robotics, NVIDIA Corporation, Universal Robots A/S, Dassault Systèmes, CloudMinds Technology Inc., IBM Corporation, collectively owning a share of 45%. The firms are competing in the market by strengthening their historic partnership. New product launches are the most significant strategic step that major market players are adopting for their growing market share. Major robotic software manufacturers are introducing new products increasingly for dissemination in the automotive sector.
Major Industry Updates in Robot Software Market
ABB Introduces AppStudio to Revolutionize No-Code Robotics Programming
NVIDIA's Isaac Platform Powers the Next Generation of AI-Driven Robots
ABB Expands Collaboration with Volvo to Drive EV Manufacturing with Robotics
Rockwell Acquires Clearpath Robotics to Boost Autonomous Mobile Robot Market
How AI impact Robot Software market?
With its ability to augment automation, flexibility, and decision-making, artificial intelligence (AI) is transforming the field of robot software. Robots can make decisions independently, identify patterns, and learn from data with AI integrated into them, thereby improving productivity in industry, healthcare, and logistics. Robots can perform intricate tasks, automate processes, and reduce operating expenses with AI-based software.
For instance, Amazon's warehouse robots powered by AI utilize machine learning to forecast demand, make orders faster, and maximize inventory levels. As they analyze data in real-time and optimize constantly for efficiency, robots grow smarter with the passage of time. Furthermore, as they eliminate tedious tasks such as document processing and customer service chatbots, AI-driven robotic process automation is revolutionizing companies.
AppStudio by ABB Simplifies Robot Programming with No-Code Interface
ABB introduced AppStudio, a robotic software solution that requires no programming and makes robotic automation simpler for users of all skill levels, in January 2025. With minimal setup time and complexity, the software allows for the rapid construction of customized robotic user interfaces. AppStudio makes it possible for businesses to effectively integrate and control robots in a variety of industrial applications by eliminating the need for advanced programming knowledge.
A simple drag-and-drop interface that accelerates application development is among its most striking features. To facilitate a more streamlined and efficient working process, users can share and reuse application templates through the cloud-based collaborative library of the platform. AppStudio will cut setup time by up to 80%, enabling companies to boost productivity and save installation expenses, announced ABB.
This innovation brings ABB closer to its goal of driving industrial digitization and making automation more straightforward. It is predicted to impact the manufacturing, logistics, healthcare, and electronics industries where rapid robotics implementation is critical. ABB reinforces its leadership as a robotic software solution pioneer through AppStudio, which enables organizations to gain more automation flexibility and efficiency.
Leading future trends in terms of short term, mid-term, and long-term impacts
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected using Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, the global robot software market outlook will change at a substantial level owing to improved cloud computing, automation, and artificial intelligence. With increasing demand for smart, scalable, and efficient robotic software solutions from industries like manufacturing, logistics, healthcare, and services who increasingly opt for robotics, dominant players like ABB, NVIDIA, and Rockwell Automation are developing self-contained systems, AI-powered robots, and no-code programming. As companies concentrate on efficiency, cost savings, and accuracy, the synergy of digital twins, machine learning, and real-time analytics will continue to drive market growth. With technology evolving at a fast rate, robotic software will revolutionize industries and redefine automation worldwide.
| Report Metric | Details |
|---|---|
| Market size value in 2024 | USD 10.13 Billion |
| Market size value in 2033 | USD 61.99 Billion |
| Growth Rate | 22.3% |
| Base year | 2024 |
| Forecast period | 2026-2033 |
| Forecast Unit (Value) | USD Billion |
| Segments covered |
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| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
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| Customization scope | Free report customization with purchase. Customization includes:-
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Table Of Content
Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
Methodology
For the Robot Software Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Robot Software Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
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Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Robot Software Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Robot Software Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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