The semiconductor design-for-test software market is projected to increase from USD 950 million in 2026 to USD 1,850 million by 2031, at a CAGR of 14.3% during the forecast period.
Highlights:
- 1ATPG and test-compression software is projected to reach USD 560 million in 2031 as complex SoCs require compact patterns and high fault coverage.
- 2DFT architecture and scan insertion software is forecast to reach USD 475 million by 2031, supported by earlier testability planning during chip implementation.
- 3Memory and logic built-in self-test automation is expected to reach USD 390 million in 2031 as embedded-memory content rises.
- 4Asia Pacific is projected to remain the largest regional market at USD 960 million in 2031, supported by design and manufacturing ecosystems.
- 5Multi-die test access and safety-critical applications are increasing demand for hierarchical, reusable test methodologies.
Advanced processors incorporate rising numbers of scan cells, memory macros, clock domains and die-to-die connections, increasing the cost of reaching adequate fault coverage within manufacturing test-time limits. DFT automation therefore becomes more important as chip designers balance test completeness against the cost and performance of the finished device.
Semiconductor companies typically select these tools alongside synthesis, physical implementation, validation and manufacturing-test planning workflows. Siemens Tessent supports scan compression, MemoryBIST and multi-die testing; Synopsys TestMAX links test insertion and pattern generation with digital design; and Cadence Modus combines physically aware scan and diagnostics. Recurring renewals, broader feature adoption and capacity requirements sustain software spending beyond individual tape-out events.
Market Overview
Semiconductor design-for-test tools translate manufacturability requirements into structures and test content that can be verified before a chip is fabricated. Scan insertion exposes internal logic states, ATPG targets specific defect mechanisms, and on-chip self-test supports memories and functional safety. Modern workflows include design-rule checking, test-access planning, compression and pattern retargeting so that the finished device can be tested within available tester channels and time budgets.
Test economics are particularly demanding for very large digital processors because higher pattern counts can extend tester occupancy across millions of manufactured units. Siemens Tessent TestKompress and Cadence Modus both emphasize compression, while Synopsys TestMAX ATPG provides fault-aware pattern generation and integration with implementation tools. Designers evaluate these capabilities against measurable coverage, execution time, routability and debug effort rather than software features in isolation.
Memory-intensive and automotive devices require a different balance of capabilities. Embedded SRAM arrays need programmable built-in tests and repair schemes, while automotive chips must support dependable fault detection during operation. These requirements favor platforms combining scan, memory test, diagnostics and standards-based test access, especially when product families reuse a common design methodology.
Market Trends
Hierarchical DFT Is Becoming Essential for Large SoCs and Chiplets
Large processors combine independently developed blocks and, increasingly, multiple dies within a package. A purely flat test implementation can become difficult to integrate and expensive to update when blocks change late in the design cycle. Hierarchical DFT lets teams implement and verify reusable test structures within cores, then connect those structures through a controlled chip-level access network. Siemens Tessent Multi-die supports IEEE 1838-aligned access structures, while Cadence Modus and Synopsys TestMAX offer hierarchical test capabilities that are relevant to advanced chiplet designs.
Pattern Compression Is Reducing Manufacturing-Test Burden
Production test time can increase sharply when chips contain more scan cells and require additional transition, cell-aware or bridging fault patterns. Semiconductor design teams therefore place greater emphasis on compression efficiency and the power consumed when scan patterns are shifted and captured. Cadence Modus uses its 2D Elastic Compression architecture, Siemens Tessent TestKompress applies embedded deterministic test, and Synopsys TestMAX ATPG integrates high-coverage generation with pattern reduction. Improved test efficiency can help preserve test quality without equivalent growth in tester time.
Memory Test and Repair Are Moving Earlier in the Design Flow
AI accelerators, application processors and industrial controllers integrate substantial embedded memory, making memory fault detection and repair increasingly important. Siemens Tessent MemoryBIST automates planning, insertion and verification, while Synopsys TestMAX provides integrated memory self-test and diagnosis workflows. The demand for automated library handling and error-correction-aware repair grows when semiconductor teams must support many memory instances with different architectures and test conditions. Early implementation also reduces rework when timing and physical design become constrained.
Diagnostics Are Connecting Design Decisions to Silicon Yield
DFT software is developing stronger links between generated patterns, silicon failures and physical defect locations. Cadence described improved Modus volume diagnostics in September 2026, including wafer maps and lot-level failure analysis, while Synopsys highlights physically aware test generation and diagnosis. The ability to trace defects back to probable design or manufacturing causes can accelerate yield learning and improve subsequent test programs. These feedback loops matter most when expensive leading-edge devices reach production with small initial volumes and tight qualification schedules.
Segment Analysis
By Software Capability: ATPG and Test Compression
ATPG and test compression are fundamental to meeting fault-coverage targets while managing tester memory and runtime. This software category is projected to reach USD 560 million in 2031, making it the largest individual functional revenue stream. Higher scan-cell counts and stronger quality requirements encourage repeat use of fault simulation, low-power pattern generation and compressed test strategies. Siemens Tessent TestKompress, Synopsys TestMAX ATPG and Cadence Modus compete through coverage, runtime, compression and integration with downstream diagnosis.
By Software Capability: DFT Architecture and Scan Insertion
Scan insertion and test-architecture planning are expected to reach USD 475 million in 2031 as testability decisions move closer to the earliest stages of design. Synopsys TestMAX DFT supports scan chains, core wrapping and IEEE test-access standards, while Siemens Tessent RTL Pro addresses early test-structure integration. Design teams require these capabilities to reduce late-stage engineering changes and preserve routability when functional timing and power budgets are already tight. The strongest demand comes from large and frequently revised SoC programs.
By Software Capability: Built-In Self-Test Automation
Embedded memory and logic self-test tools are forecast to generate USD 390 million by 2031. More embedded memory blocks create additional requirements for test algorithm generation, access networks, repair and diagnosis, especially in processors and automotive controllers. Siemens MemoryBIST and Synopsys TestMAX SMS provide mechanisms for automating repetitive memory tasks, while logic BIST supports safety-oriented product requirements. Buyers increasingly favor solutions that work across reusable IP blocks and multiple device generations.
By IC Architecture: Multi-Die and Chiplet Devices
Multi-die devices are emerging as a particularly dynamic buying category as test access must reach individual chiplets before and after assembly. Revenue associated with multi-die and chiplet device programs is projected to reach USD 535 million in 2031. IEEE 1838-based access mechanisms, test-network integration and retargeting of established core patterns are valuable because the same chiplet may be qualified in more than one package configuration. Growing chiplet reuse also increases the value of a consistent DFT architecture across product variants.
Market Drivers
Increasing Complexity of AI and High-Performance Processors
AI processors incorporate large amounts of digital logic, embedded SRAM and tightly connected processing blocks, making high fault coverage more costly to deliver. Test patterns must exercise additional logic paths while remaining within practical power, memory and tester-channel limits. DFT automation helps designers build reusable scan and compression architectures and validate complex clock-domain behavior before tape-out. The value of avoiding test escapes and reducing pattern-development time becomes especially significant for high-value accelerators.
Growth in Chiplet and Heterogeneous Integration
Chiplet-based products introduce new requirements for accessing and testing dies both individually and after assembly. A package may contain logic, memory and specialized accelerators developed by different teams, each with its own test architecture. Siemens Tessent Multi-die provides automated standards-based structures for such arrangements, and other major DFT platforms support hierarchical approaches. More modular semiconductor programs therefore increase demand for test-network planning, pattern retargeting and integrated validation software.
Higher Automotive and Industrial Quality Requirements
Automotive controllers and industrial safety devices must maintain dependable operation over long service lives and under demanding environmental conditions. Their development teams increasingly rely on memory BIST, logic BIST and in-system diagnostic capabilities to detect faults beyond initial manufacturing. Siemens Tessent In-System Test and Synopsys TestMAX support test methods relevant to these requirements. Vehicle electrification and more centralized electronic architectures also increase the amount of semiconductor logic requiring consistent quality control.
Need to Control Manufacturing Test Time
Semiconductor manufacturers face pressure to keep unit testing costs under control as chip complexity increases. Larger pattern sets can consume tester memory and lengthen production cycles, particularly for high-volume processors and mobile devices. Test compression, hierarchical ATPG and low-power scan strategies reduce the burden while preserving fault-detection objectives. Engineering teams are consequently willing to invest in software that demonstrates measurable reductions in tester occupancy and test-program development effort.
Increasing Use of Automated Memory Repair
Embedded memories occupy a substantial portion of many modern SoCs and present a broad range of defect conditions. Automatic test and repair mechanisms help designers identify failing memory cells and configure available redundancy or error correction. Siemens highlighted ECC-aware MemoryBIST techniques during 2026, illustrating the need to coordinate fault detection and repair within a unified workflow. As memory configurations diversify, standardized automation reduces repetitive engineering work and supports consistent qualification across designs.
Market Restraints
High Software Licensing and Deployment Costs
Enterprise DFT platforms can represent a substantial investment for semiconductor firms with a limited number of tape-outs. Advanced feature options, multiple-user access and compute-intensive ATPG runs can raise the effective cost of ownership. Smaller fabless organizations may therefore concentrate spending on essential scan and pattern generation capabilities rather than adopting every available module. Supplier pricing and the availability of flexible licenses will influence expansion among design teams with fluctuating project workloads.
Complex Integration with Existing Design Flows
DFT structures interact closely with synthesis, timing, physical implementation, clock control and power intent. Introducing a new test platform may require revised scripts, design-rule checks and additional verification across multiple tools. These migration demands can discourage established customers from switching suppliers even when alternative solutions provide attractive compression or diagnostic features. Deployment complexity also makes skilled engineering support an important competitive factor.
Test-Power and Physical-Design Constraints
Scan shifting and capture can create activity patterns unlike those seen during normal chip operation. Excessive switching may introduce power droop or thermal stress, while inserted scan logic can complicate timing closure and routing. DFT software must therefore coordinate fault coverage with implementation constraints instead of maximizing pattern count alone. Such trade-offs become more difficult in high-density designs and can delay the realization of expected productivity benefits.
Limited Disclosure of Test-Tool Economics
DFT software purchases are frequently negotiated within broader EDA licensing agreements, which complicates price comparisons for semiconductor design organizations. Differences in project size, compute entitlements, support terms and optional capabilities make nominal license prices difficult to interpret. Buyers often rely on time-limited evaluations and proof-of-concept runs to judge performance against actual designs. This increases sales-cycle complexity and can make smaller new suppliers less competitive.
Concentration of Qualified DFT Talent
Implementing production-ready scan architectures and debugging difficult ATPG coverage gaps requires specialized experience. Engineers must understand fault models, hierarchical test access, embedded memory, test power and manufacturing tester constraints simultaneously. Shortages of experienced staff can limit adoption of advanced features even when tools are available. Better automation and training help, but large designs still demand informed engineering decisions about testability and design impact.
Regional Outlook
Asia Pacific
Asia Pacific is projected to reach USD 960 million in 2031, maintaining the largest regional position. Taiwan, South Korea, China and Japan support substantial semiconductor development and production activity, while India and Singapore contribute engineering capabilities and expanding chip-design operations. Regional demand is particularly tied to complex processors, memory-intensive devices, multi-die integration and production qualification. The presence of major global semiconductor design customers encourages DFT vendors to provide application engineering, tool integration and test-methodology support close to design teams.
North America
North America is forecast to reach USD 650 million by 2031, supported by extensive processor design, cloud-computing silicon development and semiconductor IP activity. US-based fabless developers and integrated manufacturers place considerable emphasis on design productivity, defect coverage and tight coupling between DFT and physical implementation. Demand also comes from automotive, industrial and communication-chip programs that need high-reliability testing. Large enterprise software agreements and advanced-node development remain important sources of regional spending.
Competitive Landscape
The market is concentrated around three large EDA suppliers with closely integrated design and test platforms. Siemens Tessent offers a broad portfolio spanning scan, ATPG, built-in self-test, multi-die access and silicon lifecycle capabilities. Synopsys TestMAX emphasizes integration with digital implementation and advanced fault modeling, while Cadence Modus combines test compression, physically aware scan and volume diagnostics. Buyers compare these platforms on demonstrated fault coverage, turnaround time, ease of integration, technical support and continuity between chip generations.
Competition is influenced by the cost of changing established design flows. Semiconductor companies build extensive scripts, internal test libraries and engineering experience around their selected tools, giving incumbent suppliers meaningful renewal advantages. At the same time, new requirements in chiplet test access, analog test automation and in-system diagnostics create openings for additional software modules and broader enterprise adoption. Specialist engineering service providers often implement these platforms for customers, but they are not necessarily competing software product suppliers.
Recent Developments
On October 13, 2026, Siemens introduced Tessent Silicon Executable software, enabling test patterns to be applied through PCIe and USB interfaces across different testing environments. The announcement highlighted collaboration with Advantest and Teradyne and closer coordination between design-generated patterns and silicon-level execution.
On September 15, 2026, Cadence described the Modus 26.1 workflow, including an AI assistant, enhanced iJTAG verification, ATPG and diagnostics capabilities. The update reflected continuing investment in test-generation productivity for increasingly complex designs.
On August 4, 2026, Siemens published a Tessent technical update on repairing otherwise difficult-to-repair embedded memories. The discussion emphasized the growing importance of flexible memory test and repair strategies as silicon area and manufacturing costs increase.
On July 13, 2026, Cadence published detailed guidance connecting synthesis, scan insertion, ATPG and fault diagnostics through its Genus and Modus flows. The communication underscored the industry move toward better integration between testability planning and physical implementation.
On March 27, 2026, Siemens detailed error-correction-aware memory test and repair methods for Tessent MemoryBIST. The update addressed how memory reliability and yield requirements are influencing automated test architectures.
Market Outlook
Semiconductor testability will remain a central design requirement as processors integrate more embedded memory, larger digital blocks and increasingly complex chiplet connections. By 2031, spending will shift toward higher-value ATPG, hierarchical access and automated BIST capabilities, while established scan insertion remains a significant part of the market. The most successful platforms are likely to combine strong defect coverage with measurable improvements in test-program productivity and integration into mainstream digital-design environments.
Continued demand from AI computing and safety-critical electronics will reinforce the importance of reliable, reusable test methodologies. Siemens, Synopsys and Cadence are positioned to benefit from the installed base of sophisticated chip-design workflows, although competition will continue to focus on compression efficiency, test-power management, debug capabilities and customer support. Semiconductor firms adopting chiplet architectures will place particular value on tools that preserve consistent test access from individual die qualification through packaged-device testing.
Semiconductor Design-for-Test Software Market Scope
| Report Metric | Details |
|---|---|
| Total Market Size in 2026 | USD 950 million |
| Total Market Size in 2031 | USD 1,850 million |
| Forecast Unit | Million |
| Growth Rate | 14.3% |
| Study Period | 2021 to 2031 |
| Historical Data | 2021 to 2024 |
| Base Year | 2025 |
| Forecast Period | 2026 – 2031 |
| Segmentation | Software Capability, Device Application, DFT Methodology, Purchasing Organization, IC Architecture, Licensing Model, Process Node, Geography |
| Companies |
|
| Customization Scope | 15% Free Customization included with purchase — Request Custom Breakdown → |
| Sample & Data Access | PDF Sample, Excel Databook & Analyst Briefing — Download Free Sample → |
Market Segmentation
By Software Capability
DFT Architecture and Scan Insertion
ATPG and Test Compression
Memory and Logic BIST Automation
Chiplet and In-System DFT Workflows
DFT Diagnostics and Access Automation
By Device Application
AI and High-Performance Processors
Automotive and Safety-Critical ICs
Memory and Storage Controllers
Networking and Communications ICs
Industrial, Consumer and Other ICs
By DFT Methodology
Scan and Test Compression
Pattern Generation and Fault Simulation
Embedded Memory BIST and Repair
Logic BIST and Safety Diagnostics
Hierarchical and Chiplet Test Access
By Purchasing Organization
Fabless Semiconductor Companies
Integrated Device Manufacturers
Semiconductor Design Services Firms
Foundry and OSAT Enablement Teams
By IC Architecture
Monolithic SoCs
Multi-Die and Chiplet Devices
Memory-Intensive Processors
Mixed-Signal and Specialized ICs
By Licensing Model
On-Premises Term Licenses
Perpetual Licenses with Maintenance
Cloud and Burst Capacity Licenses
Enterprise Pool and Flexible Subscriptions
By Process Node
Advanced Nodes, 7 nm and Below
Midrange Nodes, 8 to 28 nm
Mature Nodes, Above 28 nm
By Geography
Asia Pacific
China
Taiwan
South Korea
Japan
India
Singapore
Rest of Asia Pacific
North America
United States
Canada
Mexico
Europe
Germany
United Kingdom
France
Netherlands
Italy
Spain
Rest of Europe
South America
Brazil
Argentina
Rest of South America
Middle East and Africa
Israel
United Arab Emirates
Saudi Arabia
South Africa
Rest of Middle East and Africa
Table of Contents
1. EXECUTIVE SUMMARY
2. MARKET SNAPSHOT
2.1. Market Overview
2.2. Market Definition
2.3. Scope of the Study
2.4. Market Segmentation
3. BUSINESS LANDSCAPE
3.1. Market Drivers
3.1.1. Increasing Complexity of AI and High-Performance Processors
3.1.2. Growth in Chiplet and Heterogeneous Integration
3.1.3. Higher Automotive and Industrial Quality Requirements
3.1.4. Need to Control Manufacturing Test Time
3.1.5. Increasing Use of Automated Memory Repair
3.2. Market Restraints
3.2.1. High Software Licensing and Deployment Costs
3.2.2. Complex Integration with Existing Design Flows
3.2.3. Test-Power and Physical-Design Constraints
3.2.4. Limited Disclosure of Test-Tool Economics
3.2.5. Concentration of Qualified DFT Talent
3.3. Market Opportunities
3.4. Porter’s Five Forces Analysis
3.5. Industry Value Chain Analysis
3.6. Policies and Regulations
3.7. Strategic Recommendations
4. TECHNOLOGICAL OUTLOOK
4.1. Scan Architecture and Compression
4.2. ATPG and Fault Simulation
4.3. Embedded Memory and Logic BIST
4.4. Chiplet Test Access and IEEE Standards
4.5. Software-Driven Diagnostics
5. SEMICONDUCTOR DESIGN-FOR-TEST SOFTWARE MARKET BY SOFTWARE CAPABILITY
5.1. Introduction
5.2. DFT architecture and scan insertion
5.3. ATPG and test compression
5.4. Memory and logic BIST automation
5.5. Chiplet and in-system DFT workflows
5.6. DFT diagnostics and access automation
6. SEMICONDUCTOR DESIGN-FOR-TEST SOFTWARE MARKET BY DEVICE APPLICATION
6.1. Introduction
6.2. AI and high-performance processors
6.3. Automotive and safety-critical ICs
6.4. Memory and storage controllers
6.5. Networking and communications ICs
6.6. Industrial, consumer and other ICs
7. SEMICONDUCTOR DESIGN-FOR-TEST SOFTWARE MARKET BY DFT METHODOLOGY
7.1. Introduction
7.2. Scan and test compression
7.3. Pattern generation and fault simulation
7.4. Embedded memory BIST and repair
7.5. Logic BIST and safety diagnostics
7.6. Hierarchical and chiplet test access
8. SEMICONDUCTOR DESIGN-FOR-TEST SOFTWARE MARKET BY PURCHASING ORGANIZATION
8.1. Introduction
8.2. Fabless semiconductor companies
8.3. Integrated device manufacturers
8.4. Semiconductor design services firms
8.5. Foundry and OSAT enablement teams
9. SEMICONDUCTOR DESIGN-FOR-TEST SOFTWARE MARKET BY IC ARCHITECTURE
9.1. Introduction
9.2. Monolithic SoCs
9.3. Multi-die and chiplet devices
9.4. Memory-intensive processors
9.5. Mixed-signal and specialized ICs
10. SEMICONDUCTOR DESIGN-FOR-TEST SOFTWARE MARKET BY LICENSING MODEL
10.1. Introduction
10.2. On-premises term licenses
10.3. Perpetual licenses with maintenance
10.4. Cloud and burst capacity licenses
10.5. Enterprise pool and flexible subscriptions
11. SEMICONDUCTOR DESIGN-FOR-TEST SOFTWARE MARKET BY PROCESS NODE
11.1. Introduction
11.2. Advanced nodes, 7 nm and below
11.3. Midrange nodes, 8 to 28 nm
11.4. Mature nodes, above 28 nm
12. SEMICONDUCTOR DESIGN-FOR-TEST SOFTWARE MARKET BY GEOGRAPHY
12.1. Asia Pacific
12.1.1. China
12.1.2. Taiwan
12.1.3. South Korea
12.1.4. Japan
12.1.5. India
12.1.6. Singapore
12.1.7. Rest of Asia Pacific
12.2. North America
12.2.1. United States
12.2.2. Canada
12.2.3. Mexico
12.3. Europe
12.3.1. Germany
12.3.2. United Kingdom
12.3.3. France
12.3.4. Netherlands
12.3.5. Italy
12.3.6. Spain
12.3.7. Rest of Europe
12.4. South America
12.4.1. Brazil
12.4.2. Argentina
12.4.3. Rest of South America
12.5. Middle East and Africa
12.5.1. Israel
12.5.2. United Arab Emirates
12.5.3. Saudi Arabia
12.5.4. South Africa
12.5.5. Rest of Middle East and Africa
13. COMPETITIVE ENVIRONMENT AND ANALYSIS
13.1. Major Players and Strategy Analysis
13.2. Market Share Analysis
13.3. Mergers, Acquisitions, Agreements and Collaborations
13.4. Competitive Dashboard
14. COMPANY PROFILES
14.1. Siemens Digital Industries Software
14.2. Synopsys, Inc.
14.3. Cadence Design Systems, Inc.
15. APPENDIX
15.1. Currency
15.2. Assumptions
15.3. Base and Forecast Years Timeline
15.4. Key Benefits for Stakeholders
15.5. Research Methodology
15.6. Abbreviations
Frequently asked questions
What is the projected market size for semiconductor DFT software by 2031?
The Semiconductor Design-for-Test Software Market is projected to reach USD 1,850 million by 2031.
What is the CAGR for the semiconductor DFT software market (2026-2031)?
The Semiconductor Design-for-Test Software Market is expected to grow at a 14.3% CAGR.
Which region will be the largest for DFT software by 2031?
Asia Pacific is projected to be the largest regional market.
What are key drivers for DFT software market growth?
Complex SoCs, multi-die testing, and safety-critical applications drive growth.
Which DFT software segment is forecast to be largest by 2031?
ATPG and test-compression software will be the largest segment.
How do advanced processors affect DFT software demand?
Rising scan cells and memories increase demand for DFT automation.
Cite this report
Knowledge Sourcing Intelligence. (Nov 2026). Semiconductor Design-for-Test Software Market Size, Share & Growth Forecast (2026-2031). https://www.knowledge-sourcing.com/report/semiconductor-design-for-test-software-market





