Global Software-defined Automation Market Size Study, by Component (Solutions, Services), Deployment (On-premises, Cloud-based), Application (Process Automation, Network Automation), End-use, and Regional Forecasts 2022-2032

Description

The Global Software-defined Automation Market was valued at approximately USD 33.6 million in 2023 and is projected to grow at an impressive CAGR of 13.1% over the forecast period 2024-2032. As industries increasingly embrace digital transformation, the shift towards software-defined automation (SDA) has gained significant momentum. SDA is revolutionizing operational workflows by enabling centralized automation, orchestration, and control of IT and industrial systems through software-defined infrastructures. Organizations across diverse sectors are integrating SDA solutions to enhance efficiency, reduce manual intervention, and optimize network operations.

The growing reliance on cloud-based automation solutions is further fueling market expansion, enabling businesses to scale their operations dynamically while minimizing infrastructure complexities. Major players in the industry are investing heavily in AI-driven automation, robotic process automation (RPA), and intelligent workflow solutions to drive real-time decision-making. However, challenges such as high initial deployment costs, integration complexities, and security concerns surrounding software-defined architectures may hinder widespread adoption.

From a regional perspective, North America dominates the Software-defined Automation market, driven by large-scale digitalization, cloud adoption, and increasing demand for AI-powered automation solutions. Meanwhile, Europe is witnessing strong growth due to the rising implementation of SDA in manufacturing, BFSI, and healthcare sectors. The Asia Pacific region is projected to experience the fastest growth, with countries such as China, India, and Japan investing heavily in Industry 4.0 initiatives and automated smart factories. The Middle East & Africa and Latin America are also emerging as potential markets, driven by growing IT investments and government-led automation initiatives.

The competitive landscape of the Global Software-defined Automation Market is characterized by intense technological innovation, strategic partnerships, and acquisitions aimed at enhancing automation capabilities. Leading companies are focusing on cloud-native solutions, AI-driven automation, and self-healing networks to cater to evolving industry demands. As businesses strive for greater operational efficiency, the demand for SDA solutions is expected to reshape enterprise automation across multiple industries.

Major Market Players Included in This Report:

IBM Corporation
Cisco Systems, Inc.
Microsoft Corporation
VMware, Inc.
Amazon Web Services, Inc.
Google LLC
Hewlett Packard Enterprise (HPE)
Siemens AG
Schneider Electric SE
ABB Ltd.
Rockwell Automation, Inc.
Oracle Corporation
ServiceNow, Inc.
Fujitsu Limited
Red Hat, Inc.

The Detailed Segments and Sub-segments of the Market Are Explained Below:

By Component:

Solutions
Services

By Deployment:

On-premises
Cloud-based

By Application:

Process Automation
Network Automation

By End-use:

Manufacturing
IT & Telecom
BFSI
Healthcare
Energy & Utilities
Others

By Region:

North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
Rest of Europe
Asia Pacific
China
India
Japan
Australia
South Korea
Rest of Asia Pacific
Latin America
Brazil
Mexico
Rest of Latin America
Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Years Considered for the Study:

Historical Year: 2022
Base Year: 2023
Forecast Period: 2024-2032

Key Takeaways:

Market Estimates & Forecasts for 10 years from 2022 to 2032.
Annualized revenue projections and regional-level analysis for each market segment.
Comprehensive insights into the geographical landscape with country-level analysis.
Competitive analysis of major market players and their strategic developments.
In-depth analysis of market dynamics, challenges, trends, and growth opportunities.
Recommendations on business strategies to capitalize on emerging market trends.

Chapter 1. Global Software-defined Automation Market Executive Summary

1.1. Global Software-defined Automation Market Size & Forecast (2022-2032)
1.2. Regional Summary
1.3. Segmental Summary
- 1.3.1. By Component
- 1.3.2. By Deployment
- 1.3.3. By Application
- 1.3.4. By End-use
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Software-defined Automation Market Definition and Research Assumptions

2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
- 2.3.1. Inclusion & Exclusion
- 2.3.2. Limitations
- 2.3.3. Supply Side Analysis
  - 2.3.3.1. Availability
  - 2.3.3.2. Infrastructure
  - 2.3.3.3. Regulatory Environment
  - 2.3.3.4. Market Competition
  - 2.3.3.5. Economic Viability (Consumer's Perspective)
- 2.3.4. Demand Side Analysis
  - 2.3.4.1. Regulatory Frameworks
  - 2.3.4.2. Technological Advancements
  - 2.3.4.3. Environmental Considerations
  - 2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates

Chapter 3. Global Software-defined Automation Market Dynamics

3.1. Market Drivers
- 3.1.1. Increasing Digital Transformation and Cloud Adoption
- 3.1.2. Rising Demand for AI-driven and Intelligent Automation Solutions
- 3.1.3. Cost Efficiency and Operational Optimization
3.2. Market Challenges
- 3.2.1. High Initial Deployment Costs
- 3.2.2. Integration Complexities with Legacy Systems
- 3.2.3. Security and Data Privacy Concerns
3.3. Market Opportunities
- 3.3.1. Expansion of Cloud-based Automation Services
- 3.3.2. Innovation in AI-driven Process and Network Automation
- 3.3.3. Increasing Adoption across Diverse End-use Industries

Chapter 4. Global Software-defined Automation Market Industry Analysis

4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.1.6. Futuristic Approach to Porter's 5 Force Model
- 4.1.7. Porter's 5 Force Impact Analysis
4.2. PESTEL Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.2.5. Environmental
- 4.2.6. Legal
4.3. Top Investment Opportunity
4.4. Top Winning Strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Software-defined Automation Market Size & Forecasts by Component (2022-2032)

5.1. Segment Dashboard
5.2. Global Software-defined Automation Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
- 5.2.1. Solutions
- 5.2.2. Services

Chapter 6. Global Software-defined Automation Market Size & Forecasts by Deployment (2022-2032)

6.1. Segment Dashboard
6.2. Global Software-defined Automation Market: Deployment Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
- 6.2.1. On-premises
- 6.2.2. Cloud-based

Chapter 7. Global Software-defined Automation Market Size & Forecasts by Application (2022-2032)

7.1. Segment Dashboard
7.2. Global Software-defined Automation Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
- 7.2.1. Process Automation
- 7.2.2. Network Automation

Chapter 8. Global Software-defined Automation Market Size & Forecasts by End-use (2022-2032)

8.1. Segment Dashboard
8.2. Global Software-defined Automation Market: End-use Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)

Chapter 9. Global Software-defined Automation Market Size & Forecasts by Region (2022-2032)

9.1. North America Software-defined Automation Market
- 9.1.1. U.S. Software-defined Automation Market
  - 9.1.1.1. Component Breakdown, 2022-2032
  - 9.1.1.2. Deployment Breakdown, 2022-2032
  - 9.1.1.3. Application Breakdown, 2022-2032
  - 9.1.1.4. End-use Breakdown, 2022-2032
- 9.1.2. Canada Software-defined Automation Market
  - 9.1.2.1. Component Breakdown, 2022-2032
  - 9.1.2.2. Deployment Breakdown, 2022-2032
  - 9.1.2.3. Application Breakdown, 2022-2032
  - 9.1.2.4. End-use Breakdown, 2022-2032
9.2. Europe Software-defined Automation Market
- 9.2.1. UK Software-defined Automation Market
- 9.2.2. Germany Software-defined Automation Market
- 9.2.3. France Software-defined Automation Market
- 9.2.4. Spain Software-defined Automation Market
- 9.2.5. Italy Software-defined Automation Market
- 9.2.6. Rest of Europe Software-defined Automation Market
9.3. Asia Pacific Software-defined Automation Market
- 9.3.1. China Software-defined Automation Market
- 9.3.2. India Software-defined Automation Market
- 9.3.3. Japan Software-defined Automation Market
- 9.3.4. Australia Software-defined Automation Market
- 9.3.5. South Korea Software-defined Automation Market
- 9.3.6. Rest of Asia Pacific Software-defined Automation Market
9.4. Latin America Software-defined Automation Market
- 9.4.1. Brazil Software-defined Automation Market
- 9.4.2. Mexico Software-defined Automation Market
- 9.4.3. Rest of Latin America Software-defined Automation Market
9.5. Middle East & Africa Software-defined Automation Market
- 9.5.1. Saudi Arabia Software-defined Automation Market
- 9.5.2. South Africa Software-defined Automation Market
- 9.5.3. Rest of Middle East & Africa Software-defined Automation Market

Chapter 10. Competitive Intelligence

10.1. Key Company SWOT Analysis
- 10.1.1. IBM Corporation
- 10.1.2. Cisco Systems, Inc.
- 10.1.3. Microsoft Corporation
10.2. Top Market Strategies
10.3. Company Profiles
- 10.3.1. Amazon Web Services, Inc.
  - 10.3.1.1. Key Information
  - 10.3.1.2. Overview
  - 10.3.1.3. Financial (Subject to Data Availability)
  - 10.3.1.4. Product Summary
  - 10.3.1.5. Market Strategies
- 10.3.2. VMware, Inc.
- 10.3.3. Hewlett Packard Enterprise (HPE)
- 10.3.4. Siemens AG
- 10.3.5. Schneider Electric SE
- 10.3.6. ABB Ltd.
- 10.3.7. Rockwell Automation, Inc.
- 10.3.8. Oracle Corporation
- 10.3.9. ServiceNow, Inc.
- 10.3.10. Fujitsu Limited
- 10.3.11. Red Hat, Inc.
- 10.3.12. [Additional Companies as per Final Report]

Chapter 11. Research Process

11.1. Research Process
- 11.1.1. Data Mining
- 11.1.2. Analysis
- 11.1.3. Market Estimation
- 11.1.4. Validation
- 11.1.5. Publishing
11.2. Research Attributes