Latest added Robotic Process Automation (RPA) Market research study by MarketDigits offers detailed product outlook and elaborates market review till 2026. The market Study is segmented by key regions that is accelerating the marketization. At present, the market is sharping its presence and some of the key players in the study are Blue Prism, Pegasystems, IBM Corporation, NICE Systems, Kryon Systems, Cicero, Atos SE. The study is a perfect mix of qualitative and quantitative Market data collected and validated majorly through primary data and secondary sources.
This report studies the Robotic Process Automation (RPA) Market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the Robotic Process Automation (RPA) Market by companies, region, type and end-use industry.
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Scroll down 100s of data Tables, charts and graphs spread through Pages and in-depth Table of Content on ”Global Robotic Process Automation Market By Process (Automated Solutions, Decision Support and Management Solution, Interaction Solution), Operation (Rule Based, Knowledge Based), Type (Tool Based, Service Based), Industry (BFSI, Telecom and IT, Travel, Hospitality and Transportation, Retail and Consumer Goods, Manufacturing and Logistics, Healthcare and Pharmaceuticals, Others), Deployment (On-Premise, Cloud), Solution (Software, Service), Enterprise Size (Large Enterprises, Small and Medium Enterprises), Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa) – Industry Trends and Forecast to 2026″. Early buyers will get 10% customization on study.
To Avail deep insights of Robotic Process Automation (RPA) Market Size, competition landscape is provided i.e. Revenue Analysis (M $US) by Company (2018-2020), Segment Revenue Market Share (%) by Players (2018-2020) and further a qualitative analysis is made towards market concentration rate, product/service differences, new entrants and the technological trends in future.
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Market Analysis: Global Robotic Process Automation Market
Global robotic process automation market is set to witness a healthy CAGR of 29.30% in the forecast period of 2019 to 2026. The report contains data of the base year 2018 and historic year 2017. This rise in the market can be attributed due to rising popularity and attractiveness of enterprise resource planning which is driving the needs of the business to move towards the automations. Robotic process automation provides good accuracy, improved cycle time and increased productivity in transaction and data processing which drives the market.
Few of the major competitors currently working in the global robotic process automation market are Sutherland Bulgaria, Automation Anywhere Inc., Blue Prism, Pegasystems Inc., Celaton, UiPath, Verint, Redwood Technology B.V., IBM Corporation, NICE Systems Ltd., THOUGHTONOMY, KOFAX INC., Jacada Inc., Kryon Systems, OpenConnect Systems Incorporated, Cicero Inc., Atos SE, Daythree Business Services sdn bhd, IPsoft Inc., softomotive among others.
Market Definition: Global Robotic Process Automation Market
Robotic process automation refers to the use of software with Artificial Intelligence and Machine Learning capabilities that can manage high volumes of tasks and data. These can be queries, calculations, maintenance of records and transitions. It is a series of programs and codes along with commands which are executed by robots as per the demands of business policies and guidelines. Robotic automation interacts with the existing IT architecture with no complex system integration required. The main aim of these automations is replace the boring and repeatedly task being performed by humans.
Key Developments in the Market:
- In October 2016, Automation Anywhere Inc., announced the launch of new robotic process automation analytics solution Bot Insight that enables the users to visualize and access the complex data and can provide with the real time actionable business intelligence and operational insights on bot performance
- In February 2016, NIIT Technologies has adopted intelligent automation by partnering with UiPath to drive greater business benefits for their clients globally. With the help of robotic process automation, NIIT Technologies can deliver end to end solutions to their customers
Research Methodology: Global Robotic Process Automation Market
Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analyzed and forecasted using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please request an analyst call or can drop down your enquiry.
The key research methodology used by MarketDigits research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
Key Insights in the report:
- Complete and distinct analysis of the market drivers and restraints
- Key Market players involved in this industry
- Detailed analysis of the Market Segmentation
- Competitive analysis of the key players involved
Robotic Process Automation (RPA) Market document performs geographical analysis for the major areas such as North America, China, Europe, Southeast Asia, Japan, and India, with respect to the production, price, revenue and market share for top manufacturers. This market study also analyzes the market status, future trends, market drivers, market share, growth rate, opportunities & challenges, risks and entry barriers, sales channels, distributors & Porter’s Five Forces Analysis. This Robotic Process Automation (RPA) Market research report delivers comprehensive analysis of the market structure along with the estimations of the various segments and sub-segments of the market.
There are 15 Chapters to display the Global (United States, European Union and China) Robotic Process Automation (RPA) market.
Chapter 1, to describe Definition, Specifications and Classification of Robotic Process Automation (RPA), Applications of Robotic Process Automation (RPA), Market Segment by Regions;
Chapter 2, to analyze the Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure;
Chapter 3, to display the Technical Data and Manufacturing Plants Analysis of Robotic Process Automation (RPA), Capacity and Commercial Production Date, Manufacturing Plants Distribution, R&D Status and Technology Source, Raw Materials Sources Analysis;
Chapter 4, to show the Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment);
Chapter 5 and 6, to show the Regional Market Analysis that includes United States, China, European Union & Rest of World (Japan, Korea, India and Southeast Asia), Robotic Process Automation (RPA) Segment Market Analysis (by Type);
Chapter 7 and 8, to analyze the Robotic Process Automation (RPA) Segment Market Analysis (by Application) Major Manufacturers Analysis of Robotic Process Automation (RPA);
Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type [, Lignite, Sub-Bituminous, Bituminous & Anthracite], Market Trend by Application [Power, Iron & Steel & Cement];
Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis;
Chapter 11, to analyze the Consumers Analysis of Robotic Process Automation (RPA);
Chapter 12, to describe Robotic Process Automation (RPA) Research Findings and Conclusion, Appendix, methodology and data source;
Chapter 13, 14 and 15, to describe Robotic Process Automation (RPA) sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
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