The statistic shows the market share of the global cognitive robotic process automation in 2017 and 2026, by industry. In 2026, the finance and banking segment is projected to take up **** percent of the overall market share.
Robotic process automation market revenues are expected to eclipse **** billion U.S. dollars worldwide in 2020. Forecasts predict continued growth in the coming years with market value set to reach more than *** billion by 2023. Robotic Process Automation RPA is a type of IT solution that allows organizations to automate many of their tasks through the use of specialized software programs. Many business executives believe that RPA can bring many benefits, saving their company time on repetitive tasks and serving to increase the quality of work that their company produces. Blueprism, NICE, and UiPath are some of the biggest names in the industry, each with a significant share of the overall market. Automation Automation on a broader scale extends past the software market and into hardware, especially in the context of manufacturing. The factory automation segment is by far the biggest segment in the industry, whilst process automation and industrial software also account for significant shares. As automation software becomes more advanced, it remains to be seen how much of an effect it will have on employment levels, across a variety of industries.
The statistic shows a spending forecast for cognitve robotic process automation (RPA) worldwide, in 2017 and 2026. In 2026, expenditure on cognitive robotic process automation is expected to reach about **** billion U.S. dollars globally. The CAGR of this market from 2017 to 2026 is projected to be **** percent.
https://bisresearch.com/privacy-policy-cookie-restriction-modehttps://bisresearch.com/privacy-policy-cookie-restriction-mode
Global Cognitive Robotic Process Automation Market is Expected reach $3,620.8 million by 2026. The report offer in-depth detail regarding CRPA market size, industry analysis, forecast and trends.
The statistic shows the market share of the global cognitive robotic process automation in 2017 and 2026, by type. In 2026, the services segment is projected to take up ** percent of the overall market share.
https://www.expertmarketresearch.com/privacy-policyhttps://www.expertmarketresearch.com/privacy-policy
The global robotic process automation market was valued at USD 5.66 Billion in 2024. The market is expected to grow at a CAGR of 36.30% during the forecast period of 2025-2034 to reach a value of USD 125.25 Billion by 2034. Expanding use of automation systems in healthcare for patient data management, medical claims processing, and compliance tracking is accelerating demand in life sciences and clinical workflows.
The market is gaining significant traction, largely driven by the surge in enterprise-scale adoption of AI-integrated automation. A major trend reshaping the industry is hyper-automation, which extends beyond repetitive task automation toward end-to-end business orchestration. According to the robotic process automation market analysis, 74% of organizations have already embarked on RPA journeys as of June 2022. Notably, the United States federal government’s “Technology Modernization Fund” has injected over USD 1.2 billion since its inception in 2017, allocating a substantial portion toward automation-driven modernization, underscoring how policy initiatives are accelerating market adoption.
Another compelling factor is workforce transformation across industries. In India, the government’s Digital India program has also pushed automation adoption across banking and citizen services, enabling public agencies to save manual hours while reducing error rates. Moreover, the European Commission’s Horizon Europe program, with EUR 95.5 billion in funding, has earmarked automation and AI projects as central pillars for industrial competitiveness. These government-backed initiatives illustrate how policy alignment and fiscal support are becoming catalysts for large-scale RPA implementation globally.
The robotic process automation market’s potential is further highlighted by efficiency-driven results. Industry reports note that RPA can reduce operational costs by 20% in industries like telecom and healthcare. This blend of cost efficiency, supportive government policies, and AI-driven innovation places the market on an accelerated growth trajectory, making it an essential area of investment for enterprises navigating digital transformation.
The statistic shows the robotic process automation (RPA) software vendor revenue worldwide in 2017 and 2018. In 2018, UiPath was the largest vendor in the global RPA software market, with a revenue of ***** million U.S. dollars.
The statistic shows the spending on robotic process automation (RPA) software worldwide from 2017 to 2021. In 2020, global spending on RPA software is expected to grow, reaching **** billion U.S. dollars, despite the economic recession caused by the COVID-19 pandemic.
The statistic shows a forecast of spending on business process automation (BPA) worldwide, by segment, from 2016 to 2021. In 2017, expenditure on internal operational spending on business process automation is expected to reach *** billion U.S. dollars globally.
https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy
According to Cognitive Market Research, the global Butterfly pea flower tea market size was USD XX million in 2024 and will expand at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. • The global Industrial robots market will expand significantly by XX% CAGR between 2024 to 2031. • Asia pacific held the major market of more than XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. • North America held a market of around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. • Investments in Artificial Intelligence and Robotic Process Automation and rising labor costs and an aging workforce are the growth drivers. • High costs is a restraint to the market. • By Type, Articulated segment is expected to dominate the market. • By end-use, Electronics segment is expected to dominate the market. • By function, Soldering and Welding is expected to dominate the market. Market Dynamics
Key Drivers
Investments on Artificial Intelligence and Robotic Process Automation is Fueling the Rise of Industrial Robots
A growing number of structures are using industrial robots, and these machines are frequently utilized in automation systems that are made up of several industrial robots. The working environment of robotics process automation has transformed over the last several years, and it has progressed from an emerging component in the industrial robotics business. Robotic automation provides rapid and significant innovation, resulting in tangible advantages for the industrial automation business. Automation firms throughout the world are investing heavily in R&D to create and improve new technologies. In 2019, ABB pledged to invest more than $150 million in the building of a new robotics production and research center in China by 2021. Some of the primary factors influencing robotic process automation are processes with higher automation potential and larger headcount reductions, which provide significant cost savings to manufacturers. The ongoing cost of Robotic Process Automation (RPA), which includes licensing, hosting, and monitoring, varies greatly depending on the vendor and kind of solution; the lower the recurring cost for RPA, the greater the cost savings. Various service providers are deploying RPA technologies in a variety of end-user processes to improve consistency, reduce risk, and lowering costs.
The need for industrial robots will increase due to rising labor costs and an aging workforce.
Labor costs account for 62% to 65% of overall industrial operating costs. In most situations, labor-intensive jobs are divided into two kinds of employees: direct and indirect, especially in enterprises that occupy more than 200,000 square feet. Direct personnel are in charge of carrying out the procedure, whilst indirect staff provide back-end assistance to direct staff. The presence of both direct and indirect personnel, as well as department supervisors, adds significant expense to warehouse operations. Hourly salaries increased from $19.6 in 2017 to $22.7 in 2020. Furthermore, the average weekly hours grew from 42.11 in 2017 to 39.2 in 2020, resulting in essentially unchanged warehouse productivity. As standard hourly salaries rise in tandem with growing global inflation, while weekly hours remain constant or fall in the future years, operational costs will undoubtedly rise. Aside from that, emerging countries have experienced a steady increase in the aging workforce, resulting in concerns with safety, quality control, and productivity. As a result, industrial automation has emerged as a significant tool of addressing growing salaries and worker aging. As a result, industrial operators have come to rely on robots to provide a simple and effective means of lowering operational expenses while maintaining peak output.
Restraints
High initial investment in industrial robots may hamper the growth of the market
The worldwide industrial robotics industry's growth may be hampered by the high initial costs of product deployment and rising maintenance expenses....
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Singapore Share of GVA: SI: RPA: Administrative & Support Services data was reported at 4.500 % in 2020. This records a decrease from the previous number of 4.900 % for 2019. Singapore Share of GVA: SI: RPA: Administrative & Support Services data is updated yearly, averaging 3.950 % from Dec 2005 (Median) to 2020, with 16 observations. The data reached an all-time high of 5.700 % in 2017 and a record low of 2.400 % in 2006. Singapore Share of GVA: SI: RPA: Administrative & Support Services data remains active status in CEIC and is reported by Singapore Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.A099: Share of Nominal Gross Value Added by Industry (Discontinued).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
(停止更新)总增加值(GVA)比例:SI:RPA:行政和支援服务在12-01-2020达4.500%,相较于12-01-2019的4.900%有所下降。(停止更新)总增加值(GVA)比例:SI:RPA:行政和支援服务数据按年更新,12-01-2005至12-01-2020期间平均值为3.950%,共16份观测结果。该数据的历史最高值出现于12-01-2017,达5.700%,而历史最低值则出现于12-01-2006,为2.400%。CEIC提供的(停止更新)总增加值(GVA)比例:SI:RPA:行政和支援服务数据处于定期更新的状态,数据来源于Singapore Department of Statistics,数据归类于全球数据库的新加坡 – Table SG.A099: Share of Nominal Gross Value Added by Industry (Discontinued)。
Not seeing a result you expected?
Learn how you can add new datasets to our index.
The statistic shows the market share of the global cognitive robotic process automation in 2017 and 2026, by industry. In 2026, the finance and banking segment is projected to take up **** percent of the overall market share.