저전력 소프트웨어 설계 프레임워크 시장 : 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the low-power software design framework market size is expected to increase from USD 2.14 billion in 2025 to USD 2.37 billion in 2026 and reach USD 4.23 billion by 2031, growing at a CAGR of 12.28% over 2026-2031.

This report is Segmented by Product Type (Design and Architecture Software, and More), Technology (Model-Based Design, and More), Deployment Model (On-Premises, Cloud-Based, and Hybrid), Application (Consumer Electronics, Automotive, and More), End User (Semiconductor and Fabless Design Houses, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Low-Power Software Design Framework Market Trends and Insights

Energy-Efficient Edge AI Adoption

Energy-efficient edge AI adoption is becoming one of the clearest drivers of demand for the low-power software design framework market. Neural network inference is now moving closer to the sensor and controller levels, where devices operate at milliwatt or sub-milliwatt levels and cannot tolerate inefficient firmware behavior. That shift is forcing engineering teams to link model compression, memory use, and power-state control much earlier in the design cycle than before. Forschungszentrum Julich presented its Automaton Engine project at Hannover Messe 2026, with latency per watt as a core optimization target, demonstrating how edge AI design priorities are moving away from peak compute claims and toward usable energy efficiency. MathWorks reinforced this direction in April 2026, releasing R2026a with Simulink Copilot, which allows engineers to examine model behavior and embedded code generation within a common workflow that now includes AI-assisted development support. As TinyML runtimes become more standardized, the low-power software design framework market is likely to see stronger competition around toolchain-level energy profiling during training and pre-deployment validation, rather than just basic inference deployment.

Battery Lifetime Optimization in Connected Devices

Battery lifetime optimization in connected devices is pushing the low-power software design framework market toward deeper software-centric energy management. Product teams are no longer treating battery life as a hardware-only issue because large sensor fleets, wearables, and remote nodes often operate in places where manual battery replacement is expensive or impractical. Research published in 2025 showed that adaptive soft-actor-critic reinforcement learning applied to NB-IoT power-saving parameters could extend battery life by more than 3x without hardware changes, which shifts more value toward firmware policy design and verification tools. Nordic Semiconductor added to this trend in March 2026 with nRF Fuel Gauge v2.0, which introduced adaptive battery health monitoring and real-time state-of-health reporting across changing discharge conditions. The broader implication is that intermittent and adaptive energy behavior must now be managed in software, not just measured after the fact. That is why the low-power software design framework market is benefiting from demand for checkpointing, state retention, and runtime scheduling methods that can respond to the uncertainty of energy availability in connected devices.

High Verification Burden For Cross-Domain Power Models

The high verification burden for cross-domain power models remains a significant restraint on the market for low-power software design frameworks. As SoC and embedded architectures combine electrical, thermal, and mechanical behavior more tightly, teams can no longer validate power behavior through isolated workflows owned by separate engineering groups. The challenge becomes more severe in automotive, industrial automation, and advanced-node semiconductor programs where design changes in one domain can affect timing, heat, leakage, and reliability in another. Synopsys highlighted this issue in 2026 when it introduced Ansys 2026 R1 and its Multiphysics Fusion approach, which links multiphysics engines with EDA tools and was still in the process of expanding customer trials during 2026. Even with better integration, every change to power domains or AI-assisted layout decisions expands the number of interactions that must be checked for power-intent compliance and sign-off consistency. This means the low-power software design framework market faces a practical ceiling where design automation is advancing faster than full verification capacity in the most demanding programs.

Other drivers and restraints analyzed in the detailed report include:

1. Rise of Energy-Harvesting MCU Toolchains
2. Software-Defined Power Budgeting in Always-On Devices
3. Fragmented Toolchains Across MCU, RTOS, And Compiler Stacks

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Power Analysis and Optimization Software held 28.74% of the low-power software design framework market size in 2025, while Deployment and Lifecycle Management Software is projected to grow at a 13.45% CAGR through 2031. The leadership of Power Analysis and Optimization Software recognizes that power sign-off remains one of the final gates before tapeout, especially at advanced nodes, where missed violations can trigger costly redesigns. In the low-power software design framework market, this type benefits from the fact that leakage, state transitions, and thermal interactions are now being treated as production risks rather than secondary tuning issues. That position gives power analysis tools a durable revenue base even as adjacent categories gain momentum.

Cadence introduced Conformal AI Studio in March 2025, featuring its Conformal AI Low Power capability, demonstrating how hierarchical and distributed verification flows are used to manage design scale in power sign-off environments. Design and Architecture, Software, Simulation, and Modeling Software continue to see stable adoption because teams still need early-stage exploration before sign-off begins. Verification and Sign-Off Software is also benefiting from stronger documentation requirements in automotive and industrial programs, where power behavior has to be traceable alongside safety and security expectations. At the same time, the low-power software design framework industry is seeing stronger growth in Deployment and Lifecycle Management Software because over-the-air update planning, fleet energy behavior, and long-term device maintenance are becoming part of the same value chain. Siemens supported this direction in 2026 with its Fuse EDA AI Agent, which more closely linked manufacturing readiness and design workflows and signaled that the boundary between design-time and operational power management is narrowing.

Model-Based Design accounted for 27.63% share in 2025, while AI-Assisted Low-Power Design is projected to record the fastest CAGR of 14.12% through 2031. Model-Based Design remains central to the low-power software design framework market because it offers traceable workflows, supports regulated engineering environments, and helps teams connect simulation with code generation. Its installed base in automotive and aerospace is difficult to displace quickly because those programs depend on consistent model-to-code lineage and established validation routines. In the low-power software design framework market, this gives incumbent model-based workflows a defensible position even as newer AI-centric methods expand.

MathWorks strengthened this segment in April 2026 when it released R2026a with Simulink Copilot and extended embedded support for Renesas platforms, which connected AI-assisted development more directly with hardware-oriented execution flows. Hardware-In-The-Loop Simulation, Rapid Control Prototyping, and Embedded System Prototyping continue to gain attention because power validation now extends beyond logic behavior into more realistic operating conditions. AI-Assisted Low-Power Design is advancing faster as it shifts from post-synthesis tuning toward front-end design governance, where power limits are introduced earlier and handled more systematically. Cloud-Native Collaborative Development is also advancing because distributed firmware teams increasingly need shared environments for versioning, simulation, and cross-site power analysis. The low-power software design framework industry is therefore entering a two-speed phase where mature workflows keep the installed base stable while AI-assisted methods capture incremental complexity and new project starts.

Complete Report Scope:

• By Product Type
  • Design and Architecture Software
  • Simulation and Modeling Software
  • Verification and Sign-Off Software
  • Power Analysis and Optimization Software
  • Deployment and Lifecycle Management Software
• By Technology
  • Model-Based Design
  • Hardware-In-The-Loop Simulation
  • Rapid Control Prototyping
  • Embedded System Prototyping
  • AI-Assisted Low-Power Design
  • Cloud-Native Collaborative Development
• By Deployment Model
  • On-Premises
  • Cloud-Based
  • Hybrid
• By Application
  • Consumer Electronics
  • Automotive
  • Industrial Automation
  • Healthcare and Wearables
  • Aerospace and Defense
  • IoT and Smart Devices
• By End User
  • Semiconductor and Fabless Design Houses
  • Electronic OEMs
  • Engineering Service Providers
  • Academic and Research Institutions
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Middle East
    • Turkey
    • Saudi Arabia
    • United Arab Emirates
    • Rest of Middle East
  • Africa
    • South Africa
    • Nigeria
    • Rest of Africa

Geography Analysis

Asia-Pacific accounted for 36.45% of the low-power software design framework market in 2025, making it the leading regional market. The region benefits from dense semiconductor design activity across China, Japan, South Korea, and Taiwan, where advanced-node programs and large-volume embedded product pipelines create a steady demand for power-signoff, simulation, and verification tools. The low-power software design framework market is particularly strong in Asia-Pacific, where countries combine leading chip design ecosystems with major downstream manufacturing and product development capacity. India is also becoming more important as engineering service providers expand in cities such as Bangalore, Hyderabad, and Pune, which increases demand for development, prototyping, and compliance-oriented software environments. Australia adds a smaller but relevant layer through research and pilot activity around sustainable remote sensing and energy-harvesting connected systems.

North America ranked second in the low-power software design framework market, supported by hyperscaler silicon programs, automotive semiconductor activity, and the regional presence of major EDA vendors. The United States remains central because many platform vendors, advanced design teams, and AI-driven verification programs are concentrated there. Synopsys stated in May 2026 that 20 customers were evaluating agentic design solutions across more than 25 specialized AI agents, reflecting the strong testing of next-generation EDA methods in the region. Canada and Mexico add supporting demand through fabless design growth and electronics manufacturing services, which increase the regional need for lifecycle- and deployment-focused tools.

Europe is projected to expand at a 13.92% CAGR through 2031, making it the fastest-growing regional segment in the low-power software design framework market. The main drivers are regulatory and industrial rather than volume-based, with new standby power rules and cybersecurity obligations changing how product teams specify firmware and validation tools. The EU updated standby power limits with a regulation effective from May 2025, which raised the priority of energy budgeting and verification in procurement decisions for networked and consumer devices. The Cyber Resilience Act also adds vulnerability reporting and software documentation obligations from September 2026, which increases demand for frameworks that can support auditable firmware design and software bill of materials practices alongside power-state management. Germany remains the regional center of gravity because industrial automation and advanced EDA collaboration are strong there, while the Middle East, Africa, and South America remain earlier-stage opportunities tied mainly to selective smart-city and edge-sensing deployments.

1. Synopsys, Inc.
2. Cadence Design Systems, Inc.
3. Siemens Industry Software Inc.
4. Ansys, Inc.
5. The MathWorks, Inc.
6. Keysight Technologies, Inc.
7. Altair Engineering Inc.
8. Altium Limited
9. Zuken Inc.
10. Silvaco Group, Inc.
11. Aldec, Inc.
12. COMSOL AB
13. Dassault Systemes
14. Imperas Software Ltd.
15. IAR Systems AB
16. Xpeedic Technology Co., Ltd.
17. Empyrean Technology Co., Ltd.
18. Typhoon HIL, Inc.
19. PTC Inc.
20. Vector Informatik GmbH

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Energy-Efficient Edge AI Adoption
  • 4.2.2 Battery Lifetime Optimization in Connected Devices
  • 4.2.3 Rise of Energy-Harvesting MCU Toolchains
  • 4.2.4 Software-Defined Power Budgeting in Always-On Devices
  • 4.2.5 Model-Based Design Adoption for Early Power Validation
  • 4.2.6 Secure-By-Design Firmware and Compliance Pressure
• 4.3 Market Restraints
  • 4.3.1 High Verification Burden for Cross-Domain Power Models
  • 4.3.2 Fragmented Toolchains Across MCU, RTOS, and Compiler Stacks
  • 4.3.3 Shortage of Low-Power Embedded Verification Talent
  • 4.3.4 Higher Qualification Cost for AI-Assisted Autogeneration
• 4.4 Industry Value-Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Impact of Macroeconomic Factors on the Market
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Suppliers
  • 4.7.2 Bargaining Power of Buyers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Product Type
  • 5.1.1 Design and Architecture Software
  • 5.1.2 Simulation and Modeling Software
  • 5.1.3 Verification and Sign-Off Software
  • 5.1.4 Power Analysis and Optimization Software
  • 5.1.5 Deployment and Lifecycle Management Software
• 5.2 By Technology
  • 5.2.1 Model-Based Design
  • 5.2.2 Hardware-In-The-Loop Simulation
  • 5.2.3 Rapid Control Prototyping
  • 5.2.4 Embedded System Prototyping
  • 5.2.5 AI-Assisted Low-Power Design
  • 5.2.6 Cloud-Native Collaborative Development
• 5.3 By Deployment Model
  • 5.3.1 On-Premises
  • 5.3.2 Cloud-Based
  • 5.3.3 Hybrid
• 5.4 By Application
  • 5.4.1 Consumer Electronics
  • 5.4.2 Automotive
  • 5.4.3 Industrial Automation
  • 5.4.4 Healthcare and Wearables
  • 5.4.5 Aerospace and Defense
  • 5.4.6 IoT and Smart Devices
• 5.5 By End User
  • 5.5.1 Semiconductor and Fabless Design Houses
  • 5.5.2 Electronic OEMs
  • 5.5.3 Engineering Service Providers
  • 5.5.4 Academic and Research Institutions
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Russia
    • 5.6.3.7 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 India
    • 5.6.4.3 Japan
    • 5.6.4.4 South Korea
    • 5.6.4.5 Australia
    • 5.6.4.6 Rest of Asia-Pacific
  • 5.6.5 Middle East
    • 5.6.5.1 Turkey
    • 5.6.5.2 Saudi Arabia
    • 5.6.5.3 United Arab Emirates
    • 5.6.5.4 Rest of Middle East
  • 5.6.6 Africa
    • 5.6.6.1 South Africa
    • 5.6.6.2 Nigeria
    • 5.6.6.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 Synopsys, Inc.
  • 6.4.2 Cadence Design Systems, Inc.
  • 6.4.3 Siemens Industry Software Inc.
  • 6.4.4 Ansys, Inc.
  • 6.4.5 The MathWorks, Inc.
  • 6.4.6 Keysight Technologies, Inc.
  • 6.4.7 Altair Engineering Inc.
  • 6.4.8 Altium Limited
  • 6.4.9 Zuken Inc.
  • 6.4.10 Silvaco Group, Inc.
  • 6.4.11 Aldec, Inc.
  • 6.4.12 COMSOL AB
  • 6.4.13 Dassault Systemes
  • 6.4.14 Imperas Software Ltd.
  • 6.4.15 IAR Systems AB
  • 6.4.16 Xpeedic Technology Co., Ltd.
  • 6.4.17 Empyrean Technology Co., Ltd.
  • 6.4.18 Typhoon HIL, Inc.
  • 6.4.19 PTC Inc.
  • 6.4.20 Vector Informatik GmbH

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment