The global process orchestration market size will grow at a soaring demand for cloud deployment and faster modeling of business process applications. Process orchestration plays a pivotal role in minimizing cycle times and reducing the ownership cost. Some factors, such as soaring demand for IT resources and integration of AI with the process orchestration services, will encourage leading companies to emphasize product portfolio expansion.
Process orchestration alludes to the practice of unifying individual tasks into end-to-end processes and helping manage, execute and monitor entire business processes. The platform enables end-users to streamline workflows and allows users to emphasize high-value work. Process orchestration software leverages users to make strategic decisions, boost efficiency and minimize costs. The software has also gained prominence in fostering flexibility.
With the internet of things (IoT), AI, robotic process automation, and machine learning (ML) expanding their footprint globally, orchestration has become instrumental in doing away with errors and boosting business flows. Industry players are likely to bank on orchestration to propel resiliency, enhance mean time to resolution and integrate new tools and technologies with a single orchestration platform.
In terms of component, process orchestration software will gain traction due to surging demand from BFSI, healthcare, manufacturing, IT & telecommunication, government, and transportation sectors, among others. The orchestration software can help free up invaluable IT resources and enhance the flexibility and speed of business operations. A notable shift from a traditional operational structure to a composable enterprise has become pronounced to boost flexibility. Composability could help provide software and minimize the dependence on limited development resources.
With respect to the deployment model, the cloud deployment segment will account for a significant share of the global market during the forecast period. The growth is majorly attributed to reduced costs and agility. Cloud orchestration has received an uptick to foster hybrid infrastructure and expedite innovations. The rising footfall of cloud-powered IT services will enhance the customer experience, encouraging end-users to seek the deployment model. Cloud orchestration has become trendier to underpin the delivery of services, automate connections between workloads and track the enterprise’s dependence on IT offerings.
Based on the enterprise size, large enterprises are anticipated to exhibit strong demand for process orchestration to monitor and centralize large workflows. These organizations have shown an increased inclination toward integrating new technologies from one platform and managing audits and compliance from a centralized portal. The need for a predictive and proactive approach to maintain data security has prompted large enterprises to inject funds into process orchestration. Besides business agility, the need to gain a competitive edge will encourage large enterprises to bank on cloud frameworks, especially hybrid, to manage applications, services, and processes.
With respect to vertical, the BFSI sector is likely to contribute robustly to process orchestration market share, partly due to the need to achieve operational efficiency. Moreover, the banking finance and insurance companies function in a scenario where compliance and delivery of customer support have become paramount. For instance, orchestration has become invaluable to verify customers before onboarding through the automation process of verifying customer identification, thereby shortening internal processing time and ensuring compliance. Banks and financial organizations are likely to inject funds into integrating cutting-edge technologies for smart automation and increased transparency.
From the regional perspective, the North America process orchestration market forecast could be strong in the wake of the presence of leading companies across the U.S. and Canada. Some major players, such as Microsoft, Oracle and IBM, have solidified their regional presence. To illustrate, in November 2021, Microsoft acquired Clear Software to boost orchestration product solutions and business process management. With the need for data security and system requirements soaring, process orchestration will gain prominence across North America.
The competitive landscape suggests leading companies could inject funds into organic and inorganic strategies, including mergers & acquisitions, product launches, research and development activities, innovations and collaborations. Moreover, technological advancements could also be pronounced in the forthcoming period. Some of the prominent companies in the industry, including IBM, SAP, Cisco, Oracle, Wipro, and TIBCO are expected to bolster their portfolios. For instance, in September 2021, DISH Network Corporation selected IBM’s AI-driven automation and network orchestration software and services for the U.S. first greenfield cloud-native 5G network. Software-fueled automation, AI, and intent-driven automation will reportedly be used to foster DISH’s cloud-native 5G network architecture.
Market Segmentation
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Process Orchestration Market
5.1. COVID-19 Landscape: Process Orchestration Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Process Orchestration Market, By Component
8.1. Process Orchestration Market, by Component, 2022-2030
8.1.1. Software
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Services
8.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Process Orchestration Market, By Deployment Model
9.1. Process Orchestration Market, by Deployment Model, 2022-2030
9.1.1. On-Premises
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Cloud
9.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Process Orchestration Market, By Enterprise
10.1. Process Orchestration Market, by Enterprise, 2022-2030
10.1.1. Large Enterprises
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Small and Medium Enterprises
10.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Process Orchestration Market, By Vertical
11.1. Process Orchestration Market, by Vertical, 2022-2030
11.1.1. BFSI
11.1.1.1. Market Revenue and Forecast (2017-2030)
11.1.2. Manufacturing
11.1.2.1. Market Revenue and Forecast (2017-2030)
11.1.3. Healthcare
11.1.3.1. Market Revenue and Forecast (2017-2030)
11.1.4. IT and Telecommunications
11.1.4.1. Market Revenue and Forecast (2017-2030)
11.1.5. Retail
11.1.5.1. Market Revenue and Forecast (2017-2030)
11.1.6. Government
11.1.6.1. Market Revenue and Forecast (2017-2030)
11.1.7. Energy and utilities
11.1.7.1. Market Revenue and Forecast (2017-2030)
11.1.8. Transportation
11.1.8.1. Market Revenue and Forecast (2017-2030)
11.1.9. Others
11.1.9.1. Market Revenue and Forecast (2017-2030)
Chapter 12. Global Process Orchestration Market, Regional Estimates and Trend Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Component (2017-2030)
12.1.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.1.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.1.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.1.5.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.1.5.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.1.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.1.6. Rest of North America
12.1.6.1. Market Revenue and Forecast, by Component (2017-2030)
12.1.6.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.1.6.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.1.6.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.2. Europe
12.2.1. Market Revenue and Forecast, by Component (2017-2030)
12.2.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.2.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.2.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.2.5. UK
12.2.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.2.5.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.2.5.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.2.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.2.6. Germany
12.2.6.1. Market Revenue and Forecast, by Component (2017-2030)
12.2.6.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.2.6.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.2.6.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.2.7. France
12.2.7.1. Market Revenue and Forecast, by Component (2017-2030)
12.2.7.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.2.7.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.2.7.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.2.8. Rest of Europe
12.2.8.1. Market Revenue and Forecast, by Component (2017-2030)
12.2.8.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.2.8.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.2.8.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.3. APAC
12.3.1. Market Revenue and Forecast, by Component (2017-2030)
12.3.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.3.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.3.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.3.5. India
12.3.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.3.5.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.3.5.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.3.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.3.6. China
12.3.6.1. Market Revenue and Forecast, by Component (2017-2030)
12.3.6.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.3.6.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.3.6.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.3.7. Japan
12.3.7.1. Market Revenue and Forecast, by Component (2017-2030)
12.3.7.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.3.7.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.3.7.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.3.8. Rest of APAC
12.3.8.1. Market Revenue and Forecast, by Component (2017-2030)
12.3.8.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.3.8.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.3.8.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.4. MEA
12.4.1. Market Revenue and Forecast, by Component (2017-2030)
12.4.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.4.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.4.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.4.5. GCC
12.4.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.4.5.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.4.5.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.4.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.4.6. North Africa
12.4.6.1. Market Revenue and Forecast, by Component (2017-2030)
12.4.6.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.4.6.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.4.6.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.4.7. South Africa
12.4.7.1. Market Revenue and Forecast, by Component (2017-2030)
12.4.7.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.4.7.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.4.7.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.4.8. Rest of MEA
12.4.8.1. Market Revenue and Forecast, by Component (2017-2030)
12.4.8.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.4.8.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.4.8.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.5.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.5.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.5.5. Brazil
12.5.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.5.5.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.5.5.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.5.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.5.6. Rest of LATAM
12.5.6.1. Market Revenue and Forecast, by Component (2017-2030)
12.5.6.2. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.5.6.3. Market Revenue and Forecast, by Enterprise (2017-2030)
12.5.6.4. Market Revenue and Forecast, by Vertical (2017-2030)
Chapter 13. Company Profiles
13.1. IBM
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. SAP
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. Cisco
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. Oracle
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. Wipro
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. TIBCO
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
Chapter 14. Research Methodology
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
Chapter 15. Appendix
15.1. About Us
15.2. Glossary of Terms