Process Orchestration Market (By Component: Software, Services; By Vertical; By Deployment Model: On-Premises, Cloud; By Enterprise Size) - Global Industry Analysis, Size, Share, Growth, Trends, Revenue, Regional Outlook and Forecast 2022-2030

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

  • By Component
    • Software
    • Services
  • By Deployment Model
    • On-Premises
    • Cloud
  • By Enterprise Size
    • Large Enterprises
    • Small and Medium Enterprises
  • By Vertical
    • BFSI
    • Manufacturing
    • Healthcare
    • IT and Telecommunications
    • Retail
    • Government
    • Energy and utilities
    • Transportation
    • Others
  • By Region
    • North America
    • Europe
    • Asia Pacific
    • South America 
    • MEA

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

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