Agent-based modeling (ABM) software is utilized across various industries, such as urban planning for simulating traffic flow, epidemiology for studying disease spread dynamics, and economics for modeling market behaviors and consumer interactions. FMI recently published a new report on the agent-based modeling (ABM) software market with a current market valuation of US$ 930.7 million in 2024.
As concluded by the technology analysts, demand could eventually rise and equate to a market valuation of US$ 2,764.1 million, with a CAGR of 11.50% by 2034.
| Attributes | Details |
|---|---|
| Agent-based Modeling (ABM) Software Market Value for 2024 | US$ 930.7 million |
| Agent-based Modeling (ABM) Software Market Value for 2034 | US$ 2,764.1 million |
| Agent-based Modeling (ABM) Software Market Forecast CAGR for 2024 to 2034 | 11.5% |
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As key markets such as the United States and Europe attain maturity in the technology domain, the scope for agent-based modeling (ABM) software is poised to remain moderate in the next few years.
| Historical CAGR | 10.70% |
|---|---|
| Forecast CAGR | 11.50% |
The historical CAGR of the agent-based modeling (ABM) software market at 10.70% reflects persistent growth over a specified period, indicating a boom in adoption and demand for ABM solutions.
The economic growth can be attributed to expanding applications across diverse sectors, including but not limited to urban planning, epidemiology, economics, and environmental science.
The forecasted CAGR of 11.50% suggests continuing this upward trend, driven by several factors such as technological advancements, the growing complexity of real-world systems requiring simulation and analysis, and the broadening recognition of ABM's effectiveness in addressing intricate problems.
As industries seek more sophisticated modeling tools to understand dynamic systems and make informed decisions, the demand for ABM software is expected to rise further, subsidizing to its future growth.
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This section compares the agent-based modeling (ABM) software industry, the software distribution market, and the software defined network market.
Organizations widely adopt digital solutions to streamline operations, improve efficiency, and enhance customer experiences.
Traditional hardware-based networking solutions struggle to keep up with the dynamic requirements of modern digital businesses, leading to the adoption of SDN technologies.
Agent-based Modeling (ABM) Software Market:
| Attributes | Agent-based Modeling (ABM) Software Market |
|---|---|
| CAGR from 2024 to 2034 | 11.5% |
| Opportunity | Broadening its applications into new domains beyond the traditional areas like urban planning and epidemiology. |
| Key Trends | Integrating machine learning techniques for enhancing model realism and predictive accuracy. |
Software Distribution Market:
| Attributes | Software Distribution Market |
|---|---|
| CAGR from 2022 to 2032 | 12.3% |
| Opportunity | Focus on improving user experience through streamlined installation processes, intuitive interfaces, and personalized recommendations. |
| Key Trends | A surge in adoption of subscription-based pricing models over traditional one-time purchases. |
Software Defined Networking Market:
| Attributes | Software Defined Networking Market |
|---|---|
| CAGR from 2022 to 2032 | 17.8% |
| Opportunity | The widespread adoption of Network Function Virtualization (NFV) technology. |
| Key Trends | Integrating edge computing capabilities into SDN architectures. |
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The below section shows the leading segment. Based on the deployment type, the cloud- based segment is accounted to hold a market share of 42.60% in 2024. Based on industry type, the healthcare segment is accounted to hold a market share of 28.60% in 2024.
| Category | Market Share in 2024 |
|---|---|
| Cloud-based | 42.6% |
| Healthcare | 28.6% |
Based on deployment type, the cloud-based sector is accounted to hold a market share of 42.6% in 2024.
Cloud-based deployment offers scalability, flexibility, and accessibility, allowing users to access ABM software from anywhere with internet connectivity.
The deployment model has helped reduce the burden of infrastructure management and upfront costs, making it particularly attractive for organizations seeking cost-effective and agile solutions.
Based on industry type, the healthcare sector is accounted to hold a market share of 28.6% in 2024.
ABM enables healthcare professionals and researchers to model complex disease spread dynamics, healthcare delivery systems, and patient behavior, aiding in scenario planning, policy evaluation, and resource allocation.
With the propelling emphasis on precision medicine, population health management, and healthcare optimization, ABM software is a valuable tool for understanding and improving healthcare outcomes.
The table mentions the top five countries ranked by CAGRs, with China holding the top position.
China dominates the agent-based modeling (ABM) software market due to its extensive application in urban planning to address rapid urbanization challenges, optimize transportation networks, and manage population dynamics.
ABM software is important in healthcare for disease surveillance, epidemic forecasting, and resource allocation in populous cities of China.
The Forecast CAGRs from 2024 to 2034
| Countries | CAGR |
|---|---|
| United States | 8.5% |
| Germany | 4.7% |
| Japan | 3.6% |
| China | 12% |
| Australia and New Zealand | 4.6% |
In the United States, ABM software is extensively used in urban planning and transportation modeling to simulate traffic flow, evaluate infrastructure projects, and plan for sustainable urban development.
ABM is employed in healthcare for modeling disease spread dynamics, healthcare delivery systems, and public health interventions.
ABM finds applications in economics and market research for simulating consumer behaviors, financial market dynamics, and policy impact assessments.
In Germany, ABM software is utilized in urban planning and regional development to analyze land use patterns, simulate the impact of demographic changes, and optimize transportation networks.
ABM is employed in environmental science for modeling ecosystem dynamics, biodiversity conservation strategies, and climate change mitigation measures.
ABM finds applications in industrial engineering for optimizing production processes, supply chain management, and logistics planning.
In Japan, ABM software is primarily used in disaster management and emergency response planning to simulate natural disasters such as earthquakes, tsunamis, and typhoons.
ABM enables authorities to assess evacuation strategies, allocate resources effectively, and mitigate the impact of disasters on vulnerable populations.
ABM is employed in healthcare for disease surveillance, epidemic forecasting, and resource allocation.
In China, ABM software is widely used in urban planning and smart city development initiatives to model population dynamics, urban growth patterns, and transportation systems.
ABM enables policymakers to evaluate urban expansion plans, optimize infrastructure investments, and address traffic congestion issues.
ABM finds applications in public health for modeling disease transmission, evaluating healthcare policies, and planning for epidemic response.
In Australia and New Zealand, ABM software is employed in environmental management and natural resource planning to simulate ecosystem dynamics, assess the impact of climate change, and develop conservation strategies.
ABM enables researchers and policymakers to model biodiversity hotspots, habitat connectivity, and resilience.
ABM finds applications in agriculture for optimizing land use practices, crop management strategies, and water resource allocation.
Startups are emerging with innovative solutions focusing on specific industries like healthcare, transportation, and economics. The startups leverage machine learning and cloud computing advancements to enhance model accuracy and scalability.
Key developments include partnerships with research institutions, big data analytics platforms, and customization features catering to diverse user needs, driving competition and innovation in the ABM software market.
Some of the key developments are
| Attributes | Details |
|---|---|
| Estimated Market Size in 2024 | US$ 930.7 million |
| Projected Market Valuation in 2034 | US$ 2,764.1 million |
| Value-based CAGR 2024 to 2034 | 11.50% |
| Forecast Period | 2024 to 2034 |
| Historical Data Available for | 2019 to 2023 |
| Market Analysis | Value in US$ million |
| Key Regions Covered |
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| Key Market Segments Covered |
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| Key Countries Profiled |
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| Key Companies Profiled |
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As of 2024, the market for agent-based modeling (ABM) software is expected to be valued at US$ 1,069.1 million.
The agent-based modeling (ABM) software market is projected to expand at a CAGR of 11.50% between 2024 and 2034.
The cloud-based segment is projected to dominate the industry.
By 2034, the market value of the agent-based modeling (ABM) software is expected to reach US$ 2,764.1 million.
China is likely the top-performing market, with a CAGR of 12%.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2019 to 2023 and Forecast, 2024 to 2034 4.1. Historical Market Size Value (US$ Million) Analysis, 2019 to 2023 4.2. Current and Future Market Size Value (US$ Million) Projections, 2024 to 2034 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Deployment 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Deployment, 2019 to 2023 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment, 2024 to 2034 5.3.1. Cloud Based 5.3.2. On-Premise 5.3.3. Hybrid 5.4. Y-o-Y Growth Trend Analysis By Deployment, 2019 to 2023 5.5. Absolute $ Opportunity Analysis By Deployment, 2024 to 2034 6. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Industry 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Industry, 2019 to 2023 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry, 2024 to 2034 6.3.1. Healthcare 6.3.2. Transportation and Logistics 6.3.3. Environmental Science 6.3.4. Social Sciences 6.3.5. Defense and Security 6.3.6. Education and Training 6.3.7. Others 6.4. Y-o-Y Growth Trend Analysis By Industry, 2019 to 2023 6.5. Absolute $ Opportunity Analysis By Industry, 2024 to 2034 7. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Region 7.1. Introduction 7.2. Historical Market Size Value (US$ Million) Analysis By Region, 2019 to 2023 7.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2024 to 2034 7.3.1. North America 7.3.2. Latin America 7.3.3. Western Europe 7.3.4. Eastern Europe 7.3.5. South Asia and Pacific 7.3.6. East Asia 7.3.7. Middle East and Africa 7.4. Market Attractiveness Analysis By Region 8. North America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country 8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 8.2.1. By Country 8.2.1.1. USA 8.2.1.2. Canada 8.2.2. By Deployment 8.2.3. By Industry 8.3. Market Attractiveness Analysis 8.3.1. By Country 8.3.2. By Deployment 8.3.3. By Industry 8.4. Key Takeaways 9. Latin America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country 9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 9.2.1. By Country 9.2.1.1. Brazil 9.2.1.2. Mexico 9.2.1.3. Rest of Latin America 9.2.2. By Deployment 9.2.3. By Industry 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Deployment 9.3.3. By Industry 9.4. Key Takeaways 10. Western Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 10.2.1. By Country 10.2.1.1. Germany 10.2.1.2. UK 10.2.1.3. France 10.2.1.4. Spain 10.2.1.5. Italy 10.2.1.6. Rest of Western Europe 10.2.2. By Deployment 10.2.3. By Industry 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Deployment 10.3.3. By Industry 10.4. Key Takeaways 11. Eastern Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 11.2.1. By Country 11.2.1.1. Poland 11.2.1.2. Russia 11.2.1.3. Czech Republic 11.2.1.4. Romania 11.2.1.5. Rest of Eastern Europe 11.2.2. By Deployment 11.2.3. By Industry 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Deployment 11.3.3. By Industry 11.4. Key Takeaways 12. South Asia and Pacific Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 12.2.1. By Country 12.2.1.1. India 12.2.1.2. Bangladesh 12.2.1.3. Australia 12.2.1.4. New Zealand 12.2.1.5. Rest of South Asia and Pacific 12.2.2. By Deployment 12.2.3. By Industry 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Deployment 12.3.3. By Industry 12.4. Key Takeaways 13. East Asia Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 13.2.1. By Country 13.2.1.1. China 13.2.1.2. Japan 13.2.1.3. South Korea 13.2.2. By Deployment 13.2.3. By Industry 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Deployment 13.3.3. By Industry 13.4. Key Takeaways 14. Middle East and Africa Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 14.2.1. By Country 14.2.1.1. GCC Countries 14.2.1.2. South Africa 14.2.1.3. Israel 14.2.1.4. Rest of MEA 14.2.2. By Deployment 14.2.3. By Industry 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Deployment 14.3.3. By Industry 14.4. Key Takeaways 15. Key Countries Market Analysis 15.1. USA 15.1.1. Pricing Analysis 15.1.2. Market Share Analysis, 2023 15.1.2.1. By Deployment 15.1.2.2. By Industry 15.2. Canada 15.2.1. Pricing Analysis 15.2.2. Market Share Analysis, 2023 15.2.2.1. By Deployment 15.2.2.2. By Industry 15.3. Brazil 15.3.1. Pricing Analysis 15.3.2. Market Share Analysis, 2023 15.3.2.1. By Deployment 15.3.2.2. By Industry 15.4. Mexico 15.4.1. Pricing Analysis 15.4.2. Market Share Analysis, 2023 15.4.2.1. By Deployment 15.4.2.2. By Industry 15.5. Germany 15.5.1. Pricing Analysis 15.5.2. Market Share Analysis, 2023 15.5.2.1. By Deployment 15.5.2.2. By Industry 15.6. UK 15.6.1. Pricing Analysis 15.6.2. Market Share Analysis, 2023 15.6.2.1. By Deployment 15.6.2.2. By Industry 15.7. France 15.7.1. Pricing Analysis 15.7.2. Market Share Analysis, 2023 15.7.2.1. By Deployment 15.7.2.2. By Industry 15.8. Spain 15.8.1. Pricing Analysis 15.8.2. Market Share Analysis, 2023 15.8.2.1. By Deployment 15.8.2.2. By Industry 15.9. Italy 15.9.1. Pricing Analysis 15.9.2. Market Share Analysis, 2023 15.9.2.1. By Deployment 15.9.2.2. By Industry 15.10. Poland 15.10.1. Pricing Analysis 15.10.2. Market Share Analysis, 2023 15.10.2.1. By Deployment 15.10.2.2. By Industry 15.11. Russia 15.11.1. Pricing Analysis 15.11.2. Market Share Analysis, 2023 15.11.2.1. By Deployment 15.11.2.2. By Industry 15.12. Czech Republic 15.12.1. Pricing Analysis 15.12.2. Market Share Analysis, 2023 15.12.2.1. By Deployment 15.12.2.2. By Industry 15.13. Romania 15.13.1. Pricing Analysis 15.13.2. Market Share Analysis, 2023 15.13.2.1. By Deployment 15.13.2.2. By Industry 15.14. India 15.14.1. Pricing Analysis 15.14.2. Market Share Analysis, 2023 15.14.2.1. By Deployment 15.14.2.2. By Industry 15.15. Bangladesh 15.15.1. Pricing Analysis 15.15.2. Market Share Analysis, 2023 15.15.2.1. By Deployment 15.15.2.2. By Industry 15.16. Australia 15.16.1. Pricing Analysis 15.16.2. Market Share Analysis, 2023 15.16.2.1. By Deployment 15.16.2.2. By Industry 15.17. New Zealand 15.17.1. Pricing Analysis 15.17.2. Market Share Analysis, 2023 15.17.2.1. By Deployment 15.17.2.2. By Industry 15.18. China 15.18.1. Pricing Analysis 15.18.2. Market Share Analysis, 2023 15.18.2.1. By Deployment 15.18.2.2. By Industry 15.19. Japan 15.19.1. Pricing Analysis 15.19.2. Market Share Analysis, 2023 15.19.2.1. By Deployment 15.19.2.2. By Industry 15.20. South Korea 15.20.1. Pricing Analysis 15.20.2. Market Share Analysis, 2023 15.20.2.1. By Deployment 15.20.2.2. By Industry 15.21. GCC Countries 15.21.1. Pricing Analysis 15.21.2. Market Share Analysis, 2023 15.21.2.1. By Deployment 15.21.2.2. By Industry 15.22. South Africa 15.22.1. Pricing Analysis 15.22.2. Market Share Analysis, 2023 15.22.2.1. By Deployment 15.22.2.2. By Industry 15.23. Israel 15.23.1. Pricing Analysis 15.23.2. Market Share Analysis, 2023 15.23.2.1. By Deployment 15.23.2.2. By Industry 16. Market Structure Analysis 16.1. Competition Dashboard 16.2. Competition Benchmarking 16.3. Market Share Analysis of Top Players 16.3.1. By Regional 16.3.2. By Deployment 16.3.3. By Industry 17. Competition Analysis 17.1. Competition Deep Dive 17.1.1. AnyLogic 17.1.1.1. Overview 17.1.1.2. Product Portfolio 17.1.1.3. Profitability by Market Segments 17.1.1.4. Sales Footprint 17.1.1.5. Strategy Overview 17.1.1.5.1. Marketing Strategy 17.1.2. SIMUL8 17.1.2.1. Overview 17.1.2.2. Product Portfolio 17.1.2.3. Profitability by Market Segments 17.1.2.4. Sales Footprint 17.1.2.5. Strategy Overview 17.1.2.5.1. Marketing Strategy 17.1.3. FlexSim 17.1.3.1. Overview 17.1.3.2. Product Portfolio 17.1.3.3. Profitability by Market Segments 17.1.3.4. Sales Footprint 17.1.3.5. Strategy Overview 17.1.3.5.1. Marketing Strategy 17.1.4. Simcad Pro 17.1.4.1. Overview 17.1.4.2. Product Portfolio 17.1.4.3. Profitability by Market Segments 17.1.4.4. Sales Footprint 17.1.4.5. Strategy Overview 17.1.4.5.1. Marketing Strategy 17.1.5. Insight Maker 17.1.5.1. Overview 17.1.5.2. Product Portfolio 17.1.5.3. Profitability by Market Segments 17.1.5.4. Sales Footprint 17.1.5.5. Strategy Overview 17.1.5.5.1. Marketing Strategy 17.1.6. AgentPy 17.1.6.1. Overview 17.1.6.2. Product Portfolio 17.1.6.3. Profitability by Market Segments 17.1.6.4. Sales Footprint 17.1.6.5. Strategy Overview 17.1.6.5.1. Marketing Strategy 17.1.7. Simudyne 17.1.7.1. Overview 17.1.7.2. Product Portfolio 17.1.7.3. Profitability by Market Segments 17.1.7.4. Sales Footprint 17.1.7.5. Strategy Overview 17.1.7.5.1. Marketing Strategy 17.1.8. Agents.jl 17.1.8.1. Overview 17.1.8.2. Product Portfolio 17.1.8.3. Profitability by Market Segments 17.1.8.4. Sales Footprint 17.1.8.5. Strategy Overview 17.1.8.5.1. Marketing Strategy 18. Assumptions & Acronyms Used 19. Research Methodology
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Agent-based Modeling (ABM) Software Market
