The Intelligent Process Automation Market size was USD 13.9 billion in 2022 and is expected to Reach USD 37.08 billion by 2030 and grow at a CAGR of 13.05% over the forecast period of 2023-2030.
The Intelligent Process Automation market is a growing industry that is expected to continue expanding in the coming years. Robotic process automation and artificial intelligence technologies are used in the sophisticated automation method known as intelligent process automation. The objective of IPA is to improve business process automation by including cognitive skills that allow the system to carry out more difficult activities and make decisions that are comparable to those made by human operators. Market growth is anticipated to be boosted by a growing demand to increase the productivity of business operations and rising technological penetration across various industry sectors. Since it deals with the display layer of information systems, intelligent process automation does not necessitate a significant investment in infrastructure. As a result, more businesses concentrate on deploying automation solutions and services. The organizations' automation efforts are concentrated on improving functionality and customer happiness.
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In addition, one of the main forces behind many process automation initiatives is quality enhancement. Increasing the needs of the organization to understand the potential impact of automation in business is driving the segment growth. Consulting services help customers identify the business processes that can be potentially automated. Intelligent process automation solutions equip users with cutting-edge tools and flexible workflows to help them make quicker, more informed decisions. To remove bottlenecks in workflow systems, these solutions regulate and watch over interfaces. In the upcoming years, it is projected that this component would give the market momentum. both front- and back-office business processes are being revolutionized by automation. One of the key factors fueling market expansion is the rising demand for transformation initiatives that are driven by automation and a digital workforce. Automation is changing due to technological developments such as robotic process automation and artificial intelligence (AI). The implementation has a strong emphasis on operational effectiveness, productivity, and building new revenue-generating opportunities.
KEY DRIVERS
Rising adoption of Robotic Process Automation
Growing importance of integrating artificial intelligence technology to streamline workflow and adoption of automation techniques
RPA is a software technology that automates repetitive tasks, allowing businesses to streamline their operations and reduce costs. The adoption of RPA is increasing due to its ability to improve efficiency, accuracy, and productivity, as well as reduce errors and costs
RESTRAIN
Lack of clarity in process mapping
Resistance to implementing automated and intelligent procedures is a big barrier that is limiting market expansion.
Before any intelligent automation is put in place, it is recommended for companies to do process mapping then process reengineering, to streamline first
OPPORTUNITY
Large and medium-sized firms have potential clients in the IPA industry.
The IPA market presents opportunities for businesses to integrate artificial intelligence technology to streamline workflow and adoption of automation techniques
IPA market presents opportunities for large and medium-sized players to account for the majority of market revenue. Major companies are deploying various strategies such as mergers and acquisitions, partnerships, and collaborations to strengthen their market position
CHALLENGES
Lack of clarity in the identification of business processes to automate is major challenge hindering the market growth.
Absence of highly sophisticated and skilled manpower
Despite automation can result in considerable gains in productivity and cost savings, it can be difficult for SAP users to identify which processes to automate and how to put them up.
Russia Ukraine war Create exacerbate market uncertainty, which might affect corporations' desire to invest in emerging technologies like IPA. Until things settle down, businesses might postpone or rethink their automation plans. Businesses in areas that have been directly impacted by the war might put more emphasis on rapid business recovery and continuity measures than automation initiatives. This can temporarily slow down the uptake of IPA in those particular areas. Western sanctions, imposed because of the war on Ukraine, have had a significant impact on automation systems in Russia before The Russian share on automation systems in the world market is about 3.5% for process automation and about 1.7 percent on discrete automation systems. Conflicts have the potential to disrupt traditional work settings, so there may be an increase in demand for automation technologies and remote work solutions to assist remote teams and maintain business continuity. Companies may revaluate their business plans in light of the war and give risk management and cost-cutting measures first priority. IPA can help with cost-cutting and Government responses to the dispute may alter the policies and incentives provided to companies, which may impact the adoption rates of automation. Restrictive rules may discourage businesses from making IPA investments, but supportive policies may stimulate them.
IMPACT OF ONGOING RECESSION
Capital expenditure on new technologies like IPA might be lower during this period, which can impact the growth of the automation market. In a recessionary environment, businesses become more cautious with their investments and focus on initiatives that deliver a clear return on investment. IPA solutions that can demonstrate concrete ROI can help businesses postpone or scale back their automation projects. The world has yet to experience automation's capabilities and its ability to improve processes, services and the Business Function experience. It will alter the function of individuals and industries in the event of a future economic downturn. By 2025, the amount of time spent on current tasks at work by humans and machines will be almost equal. This means that automation will assist humans and businesses exponentially in the foreseeable future. During a recession, businesses often look for ways to reduce costs and increase operational efficiency to weather the economic downturn. IPA offers automation solutions that can help streamline processes, reduce manual labour, and optimize workflows, making it an attractive option for cost-conscious organizations. Now the situation gets settled the Intelligent Process Automation help organizations in Reduction of onboarding and training time by 70%.and Reduction of cost of operations by 35%.
By Offering
Solution
Platform
Services
Professional Services
Managed Services
By Deployment Mode
On-Premises
Cloud
By Technology
Machine Learning
Natural Language Processing
Virtual Agents
Computer Vision
Others
By Application
Security Management
Content Management
Contact Center Management
Application Management
Business Process Automation
Others
By Organization Size
Large Enterprises
Small and Medium-sized Enterprises
By Business Function
Information Technology
Finance & Accounts
Human Resources
Operation & Supply Chain
By End-User
BFSI
Telecommunications & IT
Manufacturing & Logistics
Healthcare & Life Sciences
Ratil & eCommerce
Media & Entertainment
Others
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North America
USA
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
REGIONAL ANALYSISAutomation Anywhere
North America is predicted to maintain its market dominance. Over the course of the forecast period. particularly the United States, has been an early adopter of IPA technologies. The region has a well-developed technology infrastructure and a high level of digitalization, which supports IPA implementation. Industries such as finance, healthcare, and manufacturing have been at the forefront of adopting IPA solutions. Regional growth is being fuelled by an increase in the enterprise's use of process management and automation solutions in the United States. The primary drivers of the segmental development are increased spending on corporate operations optimization and widespread adoption of cutting-edge technologies like AI, machine learning, and RPA. Additionally, it is hoped that the presence of significant vendors in the area will promote growth. In 2018, Europe held a market share of more than 31%. To improve banking procedures, the European BFSI sector is anticipated to embrace intelligent process automation technologies. European and Asian businesses, including A.S. Watson Group, are concentrating on incorporating Natural Language Processing capabilities for precise sales. demand management. Automating at scale can help in driving significant cost efficiencies across different industrial sectors.
Asia Pacific is anticipated to grow at the fastest CAGR. driven by countries like China, India, Japan, and South Korea. The region's vast population and emerging economies create substantial opportunities for automation. Industries such as manufacturing, IT services, and e-commerce are actively implementing IPA to enhance productivity and competitiveness. Government initiatives and incentives in certain countries can also play a role in promoting IPA adoption. Due to the rise in online transactions in the two nations, the BFSI sector in China and India is expanding. The demand for intelligent process automation solutions and services is being further boosted by growing awareness of automation, machine learning, and artificial intelligence. The primary drivers of the regional market growth include globalization, economic development, digitization, and greater adoption of cloud-based technologies.
The major players are Automation Anywhere, Cognizant, Nice, CGI, Capgemini, Blue Prism, Pegasystems, HCL Technologies, Genpact, ATOS, IBM, WorkFusion, HyperScience, Layie, Jiffy.ai and Other Players
Pegasystems:
In April 2020, the Pega platform has received a new improvement according to Pegasystems. pegaprocess AI provides a new feature to assist businesses in real-time business and customer operations Optimisation
IBM Corporation:
In October 2021 Cisco Systems Inc. and IBM Corporation announced their partnership to Orchestrate and administer a significant number of 5G Core and radio nodes
| Report Attributes | Details |
| Market Size in 2022 | US$ 13.9 Bn |
| Market Size by 2030 | US$ 37.08 Bn |
| CAGR | CAGR of 13.05% From 2023 to 2030 |
| Base Year | 2022 |
| Forecast Period | 2023-2030 |
| Historical Data | 2020-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Offering (Solution, Platform, Services (Professional Service, Managed Services)) • By Deployment Mode (On-Premises, Cloud) • By Technology (Machine Learning, Natural Language Processing, Virtual Agents, Computer Vision, Others) • By Application (Security Management, Content Management, Contact Center Management, Application Management, Business Process Automation, Others) • By Organization Size (Large Enterprises, Small and Medium-sized Enterprises) • By Business Function (Information Technology, Finance & Accounts, Human Resources, Operation & Supply Chain) • By End-User (BFSI, Telecommunications & IT, Manufacturing & Logistics, Healthcare & Life Sciences, Ratil & eCommerce, Media & Entertainment, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]). Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Company Profiles | Automation Anywhere, Cognizant, Nice, CGI, Capgemini, Blue Prism, Pegasystems, HCL Technologies, Genpact, ATOS, IBM, WorkFusion, HyperScience, Layie, Jiffy.ai |
| Key Drivers | • Rising adoption of Robotic Process Automation • Growing importance of integrating artificial intelligence technology to streamline workflow and adoption of automation techniques |
| Market Opportunities | • Large and medium-sized firms have potential clients in the IPA industry. • The IPA market presents opportunities for businesses to integrate artificial intelligence technology to streamline workflow and adoption of automation techniques |
Ans. The Compound Annual Growth rate for Intelligent Process Automation Market over the forecast period is 14 %.
Ans. USD 38.7 Billion is the projected Intelligent Process Automation Market size of the Company by 2030.
Ans. AI brings advanced capabilities to IPA, enabling automation systems to learn, adapt, make intelligent decisions, and handle unstructured data. It enhances the efficiency, accuracy, and effectiveness of automated processes, driving greater value and productivity for organizations.
Ans. The Solution Intelligent Process Automation Category dominate the market.
Ans. Some examples of AI applications in IPA, Intelligent Document Processing, Cognitive Automation, Predictive Analytics, Intelligent Automation, Enhanced Decision-Making.
TABLE OF CONTENTS
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of Ukraine- Russia War
4.2 Impact of Recession
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 Japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Intelligent Process Automation Market Segmentation, By Offering
8.1 Solution
8.2 Platform
8.3 Services
8.3.1 Professional Services
8.3.2 Managed Services
9. Intelligent Process Automation Market Segmentation, By Deployment Mode
9.1 On-Premises
9.2 Cloud
10. Intelligent Process Automation Market Segmentation, By Technology
10.1 Machine Learning
10.2 Natural Language Processing
10.3 Virtual Agents
10.4 Computer Vision
10.5 Others
11. Intelligent Process Automation Market Segmentation, By Application
11.1 Security Management
11.2 Content Management
11.3 Contact Center Management
11.4 Application Management
11.5 Business Process Automation
11.6 Others
12. Intelligent Process Automation Market Segmentation, By Organization Size
12.1 Large Enterprises
12.2 Small and Medium-sized Enterprises
13. Intelligent Process Automation Market Segmentation, By Business Function
13.1 Information Technology
13.2 Finance & Accounts
13.3 Human Resources
13.4 Operation & Supply Chain
14. Intelligent Process Automation Market Segmentation, By End-User
14.1 BFSI
14.2 Telecommunications & IT
14.3 Manufacturing & Logistics
14.4 Healthcare & Life Sciences
14.5 Ratil & eCommerce
14.6 Media & Entertainment
14.7 Others
15. Regional Analysis
15.1 Introduction
15.2 North America
15.2.1 North America Intelligent Process Automation Market by Country
15.2.2North America Intelligent Process Automation Market by Component
15.2.3 North America Intelligent Process Automation Market by Technology
15.2.4 North America Intelligent Process Automation Market by Organization Size
15.2.5 North America Intelligent Process Automation Market by Business Function
15.2.6 USA
15.2.6.1 USA Intelligent Process Automation Market by Component
15.2.6.2 USA Intelligent Process Automation Market by Technology
15.2.6.3 USA Intelligent Process Automation Market by Organization Size
15.2.6.4 USA Intelligent Process Automation Market by Business Function
15.2.7 Canada
15.2.7.1 Canada Intelligent Process Automation Market by Component
15.2.7.2 Canada Intelligent Process Automation Market by Technology
15.2.7.3 Canada Intelligent Process Automation Market by Organization Size
15.2.7.4 Canada Intelligent Process Automation Market by Business Function
15.2.8 Mexico
15.2.8.1 Mexico Intelligent Process Automation Market by Component
15.2.8.2 Mexico Intelligent Process Automation Market by Technology
15.2.8.3 Mexico Intelligent Process Automation Market by Organization Size
15.2.8.4 Mexico Intelligent Process Automation Market by Business Function
15.3 Europe
15.3.1 Eastern Europe
15.3.1.1 Eastern Europe Intelligent Process Automation Market by Country
15.3.1.2 Eastern Europe Intelligent Process Automation Market by Component
15.3.1.3 Eastern Europe Intelligent Process Automation Market by Technology
15.3.1.4 Eastern Europe Intelligent Process Automation Market by Organization Size
15.3.1.5 Eastern Europe Intelligent Process Automation Market by Business Function
15.3.1.6 Poland
15.3.1.6.1 Poland Intelligent Process Automation Market by Component
15.3.1.6.2 Poland Intelligent Process Automation Market by Technology
15.3.1.6.3 Poland Intelligent Process Automation Market by Organization Size
15.3.1.6.4 Poland Intelligent Process Automation Market by Business Function
15.3.1.7 Romania
15.3.1.7.1 Romania Intelligent Process Automation Market by Component
15.3.1.7.2 Romania Intelligent Process Automation Market by Technology
15.3.1.7.3 Romania Intelligent Process Automation Market by Organization Size
15.3.1.7.4 Romania Intelligent Process Automation Market by Business Function
15.3.1.8 Hungary
15.3.1.8.1 Hungary Intelligent Process Automation Market by Component
15.3.1.8.2 Hungary Intelligent Process Automation Market by Technology
15.3.1.8.3 Hungary Intelligent Process Automation Market by Organization Size
15.3.1.8.4 Hungary Intelligent Process Automation Market by Business Function
15.3.1.9 Turkey
15.3.1.9.1 Turkey Intelligent Process Automation Market by Component
15.3.1.9.2 Turkey Intelligent Process Automation Market by Technology
15.3.1.9.3 Turkey Intelligent Process Automation Market by Organization Size
15.3.1.9.4 Turkey Intelligent Process Automation Market by Business Function
15.3.1.10 Rest of Eastern Europe
15.3.1.10.1 Rest of Eastern Europe Intelligent Process Automation Market by Component
15.3.1.10.2 Rest of Eastern Europe Intelligent Process Automation Market by Technology
15.3.1.10.3 Rest of Eastern Europe Intelligent Process Automation Market by Organization Size
15.3.1.10.4 Rest of Eastern Europe Intelligent Process Automation Market by Business Function
15.3.2 Western Europe
15.3.2.1 Western Europe Intelligent Process Automation Market by Country
15.3.2.2 Western Europe Intelligent Process Automation Market by Component
15.3.2.3 Western Europe Intelligent Process Automation Market by Technology
15.3.2.4 Western Europe Intelligent Process Automation Market by Organization Size
15.3.2.5 Western Europe Intelligent Process Automation Market by Business Function
15.3.2.6 Germany
15.3.2.6.1 Germany Intelligent Process Automation Market by Component
15.3.2.6.2 Germany Intelligent Process Automation Market by Technology
15.3.2.6.3 Germany Intelligent Process Automation Market by Organization Size
15.3.2.6.4 Germany Intelligent Process Automation Market by Business Function
15.3.2.7 France
15.3.2.7.1 France Intelligent Process Automation Market by Component
15.3.2.7.2 France Intelligent Process Automation Market by Technology
15.3.2.7.3 France Intelligent Process Automation Market by Organization Size
15.3.2.7.4 France Intelligent Process Automation Market by Business Function
15.3.2.8 UK
15.3.2.8.1 UK Intelligent Process Automation Market by Component
15.3.2.8.2 UK Intelligent Process Automation Market by Technology
15.3.2.8.3 UK Intelligent Process Automation Market by Organization Size
15.3.2.8.4 UK Intelligent Process Automation Market by Business Function
15.3.2.9 Italy
15.3.2.9.1 Italy Intelligent Process Automation Market by Component
15.3.2.9.2 Italy Intelligent Process Automation Market by Technology
15.3.2.9.3 Italy Intelligent Process Automation Market by Organization Size
15.3.2.9.4 Italy Intelligent Process Automation Market by Business Function
15.3.2.10 Spain
15.3.2.10.1 Spain Intelligent Process Automation Market by Component
15.3.2.10.2 Spain Intelligent Process Automation Market by Technology
15.3.2.10.3 Spain Intelligent Process Automation Market by Organization Size
15.3.2.10.4 Spain Intelligent Process Automation Market by Business Function
15.3.2.11 Netherlands
15.3.2.11.1 Netherlands Intelligent Process Automation Market by Component
15.3.2.11.2 Netherlands Intelligent Process Automation Market by Technology
15.3.2.11.3 Netherlands Intelligent Process Automation Market by Organization Size
15.3.2.11.4 Netherlands Intelligent Process Automation Market by Business Function
15.3.2.12 Switzerland
15.3.2.15.1 Switzerland Intelligent Process Automation Market by Component
15.3.2.15.2 Switzerland Intelligent Process Automation Market by Technology
15.3.2.15.3 Switzerland Intelligent Process Automation Market by Organization Size
15.3.2.15.4 Switzerland Intelligent Process Automation Market by Business Function
15.3.2.13 Austria
15.3.2.13.1 Austria Intelligent Process Automation Market by Component
15.3.2.13.2 Austria Intelligent Process Automation Market by Technology
15.3.2.13.3 Austria Intelligent Process Automation Market by Organization Size
15.3.2.13.4 Austria Intelligent Process Automation Market by Business Function
15.3.2.14 Rest of Western Europe
15.3.2.14.1 Rest of Western Europe Intelligent Process Automation Market by Component
15.3.2.14.2 Rest of Western Europe Intelligent Process Automation Market by Technology
15.3.2.14.3 Rest of Western Europe Intelligent Process Automation Market by Organization Size
15.3.2.14.4 Rest of Western Europe Intelligent Process Automation Market by Business Function
15.4 Asia-Pacific
15.4.1 Asia Pacific Intelligent Process Automation Market by Country
15.4.2 Asia Pacific Intelligent Process Automation Market by Component
15.4.3 Asia Pacific Intelligent Process Automation Market by Technology
15.4.4 Asia Pacific Intelligent Process Automation Market by Organization Size
15.4.5 Asia Pacific Intelligent Process Automation Market by Business Function
15.4.6 China
15.4.6.1 China Intelligent Process Automation Market by Component
15.4.6.2 China Intelligent Process Automation Market by Technology
15.4.6.3 China Intelligent Process Automation Market by Organization Size
15.4.6.4 China Intelligent Process Automation Market by Business Function
15.4.7 India
15.4.7.1 India Intelligent Process Automation Market by Component
15.4.7.2 India Intelligent Process Automation Market by Technology
15.4.7.3 India Intelligent Process Automation Market by Organization Size
15.4.7.4 India Intelligent Process Automation Market by Business Function
15.4.8 Japan
15.4.8.1 Japan Intelligent Process Automation Market by Component
15.4.8.2 Japan Intelligent Process Automation Market by Technology
15.4.8.3 Japan Intelligent Process Automation Market by Organization Size
15.4.8.4 Japan Intelligent Process Automation Market by Business Function
15.4.9 South Korea
15.4.9.1 South Korea Intelligent Process Automation Market by Component
15.4.9.2 South Korea Intelligent Process Automation Market by Technology
15.4.9.3 South Korea Intelligent Process Automation Market by Organization Size
15.4.9.4 South Korea Intelligent Process Automation Market by Business Function
15.4.10 Vietnam
15.4.10.1 Vietnam Intelligent Process Automation Market by Component
15.4.10.2 Vietnam Intelligent Process Automation Market by Technology
15.4.10.3 Vietnam Intelligent Process Automation Market by Organization Size
15.4.10.4 Vietnam Intelligent Process Automation Market by Business Function
15.4.11 Singapore
15.4.11.1 Singapore Intelligent Process Automation Market by Component
15.4.11.2 Singapore Intelligent Process Automation Market by Technology
15.4.11.3 Singapore Intelligent Process Automation Market by Organization Size
15.4.11.4 Singapore Intelligent Process Automation Market by Business Function
15.4.12 Australia
15.4.15.1 Australia Intelligent Process Automation Market by Component
15.4.15.2 Australia Intelligent Process Automation Market by Technology
15.4.15.3 Australia Intelligent Process Automation Market by Organization Size
15.4.15.4 Australia Intelligent Process Automation Market by Business Function
15.4.13 Rest of Asia-Pacific
15.4.13.1 Rest of Asia-Pacific Intelligent Process Automation Market by Component
15.4.13.2 Rest of Asia-Pacific APAC Intelligent Process Automation Market by Technology
15.4.13.3 Rest of Asia-Pacific Intelligent Process Automation Market by Organization Size
15.4.13.4 Rest of Asia-Pacific Intelligent Process Automation Market by Business Function
15.5 Middle East & Africa
15.5.1 Middle East
15.5.1.1 Middle East Intelligent Process Automation Market by Country
15.5.1.2 Middle East Intelligent Process Automation Market by Component
15.5.1.3 Middle East Intelligent Process Automation Market by Technology
15.5.1.4 Middle East Intelligent Process Automation Market by Organization Size
15.5.1.5 Middle East Intelligent Process Automation Market by Business Function
15.5.1.6 UAE
15.5.1.6.1 UAE Intelligent Process Automation Market by Component
15.5.1.6.2 UAE Intelligent Process Automation Market by Technology
15.5.1.6.3 UAE Intelligent Process Automation Market by Organization Size
15.5.1.6.4 UAE Intelligent Process Automation Market by Business Function
15.5.1.7 Egypt
15.5.1.7.1 Egypt Intelligent Process Automation Market by Component
15.5.1.7.2 Egypt Intelligent Process Automation Market by Technology
15.5.1.7.3 Egypt Intelligent Process Automation Market by Organization Size
15.5.1.7.4 Egypt Intelligent Process Automation Market by Business Function
15.5.1.8 Saudi Arabia
15.5.1.8.1 Saudi Arabia Intelligent Process Automation Market by Component
15.5.1.8.2 Saudi Arabia Intelligent Process Automation Market by Technology
15.5.1.8.3 Saudi Arabia Intelligent Process Automation Market by Organization Size
15.5.1.8.4 Saudi Arabia Intelligent Process Automation Market by Business Function
15.5.1.9 Qatar
15.5.1.9.1 Qatar Intelligent Process Automation Market by Component
15.5.1.9.2 Qatar Intelligent Process Automation Market by Technology
15.5.1.9.3 Qatar Intelligent Process Automation Market by Organization Size
15.5.1.9.4 Qatar Intelligent Process Automation Market by Business Function
15.5.1.10 Rest of Middle East
15.5.1.10.1 Rest of Middle East Intelligent Process Automation Market by Component
15.5.1.10.2 Rest of Middle East Intelligent Process Automation Market by Technology
15.5.1.10.3 Rest of Middle East Intelligent Process Automation Market by Organization Size
15.5.1.10.4 Rest of Middle East Intelligent Process Automation Market by Business Function
15.5.2. Africa
15.5.2.1 Africa Intelligent Process Automation Market by Country
15.5.2.2 Africa Intelligent Process Automation Market by Component
15.5.2.3 Africa Intelligent Process Automation Market by Technology
15.5.2.4 Africa Intelligent Process Automation Market by Organization Size
15.5.2.5 Africa Intelligent Process Automation Market by Business Function
15.5.2.6 Nigeria
15.5.2.6.1 Nigeria Intelligent Process Automation Market by Component
15.5.2.6.2 Nigeria Intelligent Process Automation Market by Technology
15.5.2.6.3 Nigeria Intelligent Process Automation Market by Organization Size
15.5.2.6.4 Nigeria Intelligent Process Automation Market by Business Function
15.5.2.7 South Africa
15.5.2.7.1 South Africa Intelligent Process Automation Market by Component
15.5.2.7.2 South Africa Intelligent Process Automation Market by Technology
15.5.2.7.3 South Africa Intelligent Process Automation Market by Organization Size
15.5.2.7.4 South Africa Intelligent Process Automation Market by Business Function
15.5.2.8 Rest of Africa
15.5.2.8.1 Rest of Africa Intelligent Process Automation Market by Component
15.5.2.8.2 Rest of Africa Intelligent Process Automation Market by Technology
15.5.2.8.3 Rest of Africa Intelligent Process Automation Market by Organization Size
15.5.2.8.4 Rest of Africa Intelligent Process Automation Market by Business Function
15.6. Latin America
15.6.1 Latin America Intelligent Process Automation Market by Country
15.6.2 Latin America Intelligent Process Automation Market by Component
15.6.3 Latin America Intelligent Process Automation Market by Technology
15.6.4 Latin America Intelligent Process Automation Market by Organization Size
15.6.5 Latin America Intelligent Process Automation Market by Business Function
15.6.6 Brazil
15.6.6.1 Brazil Intelligent Process Automation Market by Component
15.6.6.2 Brazil Africa Intelligent Process Automation Market by Technology
15.6.6.3 Brazil Intelligent Process Automation Market by Organization Size
15.6.6.4 Brazil Intelligent Process Automation Market by Business Function
15.6.7 Argentina
15.6.7.1 Argentina Intelligent Process Automation Market by Component
15.6.7.2 Argentina Intelligent Process Automation Market by Technology
15.6.7.3 Argentina Intelligent Process Automation Market by Organization Size
15.6.7.4 Argentina Intelligent Process Automation Market by Business Function
15.6.8 Colombia
15.6.8.1 Colombia Intelligent Process Automation Market by Component
15.6.8.2 Colombia Intelligent Process Automation Market by Technology
15.6.8.3 Colombia Intelligent Process Automation Market by Organization Size
15.6.8.4 Colombia Intelligent Process Automation Market by Business Function
15.6.9 Rest of Latin America
15.6.9.1 Rest of Latin America Intelligent Process Automation Market by Component
15.6.9.2 Rest of Latin America Intelligent Process Automation Market by Technology
15.6.9.3 Rest of Latin America Intelligent Process Automation Market by Organization Size
15.6.9.4 Rest of Latin America Intelligent Process Automation Market by Business Function
16. Company profile
16.1 Automation Anywhere
16.1.1 Company Overview
16.1.2 Financials
16.1.3Product/Services/Offerings
16.1.4 SWOT Analysis
16.1.5 The SNS View
16.2 Cognizant
16.2.1 Company Overview
16.2.2 Financials
16.2.3Product/Services/Offerings
16.2.4 SWOT Analysis
16.2.5 The SNS View
16.3 Nice
16.3.1 Company Overview
16.3.2 Financials
16.3.3Product/Services/Offerings
16.3.4 SWOT Analysis
16.3.5 The SNS View
16.4 CGI
16.4.1 Company Overview
16.4.2 Financials
16.4.3Product/Services/Offerings
16.4.4 SWOT Analysis
16.4.5 The SNS View
16.5 Capgemini
16.5.1 Company Overview
16.5.2 Financials
16.5.3Product/Services/Offerings
16.5.4 SWOT Analysis
16.5.5 The SNS View
16.6 Blue Prism
16.6.1 Company Overview
16.6.2 Financials
16.6.3Product/Services/Offerings
16.6.4 SWOT Analysis
16.6.5 The SNS View
16.7 Pegasystems
16.7.1 Company Overview
16.7.2 Financials
16.7.3Product/Services/Offerings
16.7.4 SWOT Analysis
16.7.5 The SNS View
16.8 HCL Technologies
16.8.1 Company Overview
16.8.2 Financial
16.8.3Product/Services/Offerings
16.8.4 SWOT Analysis
16.8.5 The SNS View
16.9 Genpact
16.9.1 Company Overview
16.9.2 Financials
16.9.3 Product/Service/Offerings
16.9.4 SWOT Analysis
16.9.5 The SNS View
16.10 ATOS
16.10.1 Company Overview
16.10.2 Financials
16.10.3 Product/Service/Offerings
16.10.4 SWOT Analysis
16.10.5 The SNS View
16.11 IBM
16.11.1 Company Overview
16.11.2 Financials
16.11.3 Product/Service/Offerings
16.11.4 SWOT Analysis
16.11.5 The SNS View
16.12 WorkFusion
16.12.1 Company Overview
16.12.2 Financials
16.12.3 Product/Service/Offerings
16.12.4 SWOT Analysis
16.12.5 The SNS View
16.13 HyperScience
16.13.1 Company Overview
16.13.2 Financials
16.13.3 Product/Service/Offerings
16.13.4 SWOT Analysis
16.13.5 The SNS View
16.14 Layie
16.14.1 Company Overview
16.14.2 Financials
16.14.3 Product/Service/Offerings
16.14.4 SWOT Analysis
16.14.5 The SNS View
16.15 Jiffy.ai
16.15.1 Company Overview
16.15.2 Financials
16.15.3 Product/Service/Offerings
16.15.4 SWOT Analysis
16.15.5 The SNS View
17. Competitive Landscape
17.1 Competitive Benchmarking
17.2 Company Share Analysis
17.3 Recent Developments
17.3.1 Industry News
17.3.2 Company News
17.3.3 Mergers & Acquisitions
18. USE Cases and Best Practices
19. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
The Insight Engines Market size was USD 1.4 billion in 2022 and is expected to Reach USD 9.5 billion by 2030 and grow at a CAGR of 27.2 % over the forecast period of 2023-2030.
The Cloud Computing Market size was USD 445.3 billion in 2022 and is expected to Reach USD 1449.84 billion by 2030 and grow at a CAGR of 15.9 % over the forecast period of 2023-2030.
The Composite AI Market size was valued at USD 680 Million in 2022 and is expected to grow to USD 7948.9 Million by 2030 and grow at a CAGR of 35.98% over the forecast period of 2023-2030.
Cognitive Assessment and Training Market size was valued at USD 5.17 Bn in 2023 and is expected to reach USD 33.72 Bn by 2031 with a growing CAGR of 26.4 % over the forecast period 2024-2031.
The Property Management Market size was valued at USD 19.87 billion in 2022 and is expected to grow to USD 43.21 billion by 2030 and grow at a CAGR of 10.2 % over the forecast period of 2023-2030.
The Smart Space Market size was USD 39.2 billion in 2022 and is expected to Reach USD 108.7 billion by 2030 and grow at a CAGR of 13.6 % over the forecast period of 2023-2030.
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