¼¼°èÀÇ µðÁöÅÐ ¿£Áö´Ï¾î¸µ ºÐ¾ß ¿¡ÀÌÀüƽ AI ½ÃÀå º¸°í¼­(2025³â)
Agentic AI In Digital Engineering Global Market Report 2025
»óǰÄÚµå : 1750895
¸®¼­Ä¡»ç : The Business Research Company
¹ßÇàÀÏ : On Demand Report
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 175 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 4,490 £Ü 6,521,000
PDF (Single User License) help
PDF º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 6,490 £Ü 9,426,000
PDF (Site License) help
PDF º¸°í¼­¸¦ µ¿ÀÏ »ç¾÷ÀåÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 8,490 £Ü 12,330,000
PDF (Enterprise License) help
PDF º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.


¤± Add-on °¡´É: °í°´ÀÇ ¿äû¿¡ µû¶ó ÀÏÁ¤ÇÑ ¹üÀ§ ³»¿¡¼­ CustomizationÀÌ °¡´ÉÇÕ´Ï´Ù. ÀÚ¼¼ÇÑ »çÇ×Àº ¹®ÀÇÇØ Áֽñ⠹ٶø´Ï´Ù.
¤± º¸°í¼­¿¡ µû¶ó ÃֽŠÁ¤º¸·Î ¾÷µ¥ÀÌÆ®ÇÏ¿© º¸³»µå¸³´Ï´Ù. ¹è¼Û±âÀÏÀº ¹®ÀÇÇØ Áֽñ⠹ٶø´Ï´Ù.

Çѱ۸ñÂ÷

µðÁöÅÐ ¿£Áö´Ï¾î¸µ ºÐ¾ß ¿¡ÀÌÀüƽ AI ½ÃÀå ±Ô¸ð´Â ÇâÈÄ ¼ö ³â°£ ºñ¾àÀûÀÎ ¼ºÀåÀÌ ¿¹»óµÉ ¿¹Á¤ÀÔ´Ï´Ù. ¹Î°£ ÅõÀÚÀÚµéÀÇ ÅõÀÚ Áõ°¡, ¸ÂÃãÇü °í¼º´É Á¦Ç°¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡, º¥Ã³ ijÇÇÅи®½ºÆ®ÀÇ Áõ°¡, AI ¿¬±¸ °³¹ß ÅõÀÚ È®´ë µî ¿©·¯ ¿äÀο¡ ±âÀÎÇÒ ¼ö ÀÖ½À´Ï´Ù. ¿¹Ãø ±â°£¿¡ ¿¹»óµÇ´Â ÁÖ¿ä µ¿ÇâÀ¸·Î´Â ÀÚÀ² ¼³°è ½Ã½ºÅÛ, AI ÁÖµµÀÇ Á¦³×·¹ÀÌÆ¼ºê µðÀÚÀÎ, ¾çÀÚ ÄÄÇ»ÆÃÀÇ ÅëÇÕ, ½Ç½Ã°£ ¿¹Ãø ºÐ¼®, AI¿¡ ÀÇÇÑ ½Ã¹Ä·¹À̼ǰú °¡»ó ÇÁ·ÎÅäŸÀÌÇÎ, ¿£Áö´Ï¾î¸µ¿¡¼­ÀÇ Áö¼Ó°¡´É¼ºÀ» À§ÇÑ AIÀÇ ÀÌ¿ë, µðÁöÅÐ Æ®À©ÀÇ ÅëÇÕ µî AI ÁÖµµÀÇ Ä¿½ºÅ͸¶ÀÌÁî, ÀÚÀ²Çü Á¦Á¶ ½Ã½ºÅÛÀÌ Æ÷ÇԵ˴ϴÙ.

ÀÚµ¿È­¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡´Â µðÁöÅÐ ¿£Áö´Ï¾î¸µ ºÐ¾ß ¿¡ÀÌÀüƽ AI ½ÃÀåÀÇ ¼ºÀåÀ» °¡¼ÓÈ­ÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÚµ¿È­¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖ´Â ¹è°æ¿¡´Â ´Ù¾çÇÑ »ê¾÷¿¡¼­ ¿î¿µ ºñ¿ëÀ» ÁÙÀ̰í ÀÎÀû ¿À·ù¸¦ ÁÙÀÏ Çʿ䰡 ÀÖ½À´Ï´Ù. ¿¹¸¦ µé¾î, 2023³â 9¿ù µ¶ÀÏÀ» °ÅÁ¡À¸·Î ·Îº¿ ¿¬±¸¸¦ ÃßÁøÇÏ´Â ¾÷°è ´ÜüÀÎ ±¹Á¦ ·Îº¿ ¿¬¸ÍÀº 2022³â ¼¼°è »ê¾÷¿ë ·Îº¿ µµÀÔ ´ë¼ö°¡ 55¸¸ 3,052´ë¿¡ ´ÞÇϰí, Àü³â´ëºñ 5% Áõ°¡¸¦ ¹Ý¿µÇß´Ù°í º¸°í ¼³Ä¡ ´ë¼ö ÀüüÀÇ 73%¸¦ ¾Æ½Ã¾Æ°¡ Â÷ÁöÇϰí, À̾ À¯·´ÀÌ 15%, ¾Æ¸Þ¸®Ä«°¡ 10% Â÷ÁöÇß½À´Ï´Ù.

µðÁöÅÐ ¿£Áö´Ï¾î¸µ ºÐ¾ß ¿¡ÀÌÀüƽ AI ½ÃÀåÀÇ ÁÖ¿ä ±â¾÷Àº ³ëµ¿ »ý»ê¼ºÀ» ³ôÀÌ°í ¿£Áö´Ï¾î¸µ ÇÁ·Î¼¼½º¸¦ ÇÕ¸®È­Çϰí Áö´ÉÀûÀÎ ÀÛ¾÷ ÀÚµ¿È­¸¦ °¡´ÉÇÏ°Ô ÇÏ´Â AI ±¸µ¿Çü µðÁöÅÐ ³ëµ¿ Ç÷§Æû µîÀÇ Çõ½Å¿¡ ÁÖ·ÂÇϰí ÀÖ½À´Ï´Ù. ŽºÅ©¸¦ ÀÚµ¿È­Çϰí ÀÇ»ç°áÁ¤À» °³¼±ÇÏ°í µðÁöÅÐ ¿£Áö´Ï¾î¸µ, ¼ÒÇÁÆ®¿þ¾î °³¹ß, ±â¾÷ ¿î¿µ¿¡ °ÉÄ£ ¿öÅ©Ç÷ο츦 ÃÖÀûÈ­ÇÕ´Ï´Ù. 2025³â 3¿ù, ¹Ì±¹¿¡ º»»ç¸¦ µÐ Ŭ¶ó¿ìµå ¼ÒÇÁÆ®¿þ¾î ȸ»çÀÎ Salesforce´Â µðÁöÅÐ ³ëµ¿ Ç÷§ÆûÀÇ ÃֽйöÀüÀÎ Agentforce 2dx¸¦ Ãâ½ÃÇß½À´Ï´Ù. ÀÌ ¾÷±×·¹À̵带 ÅëÇØ AI ¿¡ÀÌÀüÆ®´Â ±âÁ¸ µ¥ÀÌÅÍ ½Ã½ºÅÛ°ú ºñÁî´Ï½º ·ÎÁ÷°ú ¿øÈ°ÇÏ°Ô ÅëÇյǾî äÆÃ ÀÎÅÍÆäÀ̽º¸¦ ³Ñ¾î ÀÚÀ²ÀûÀ¸·Î ÀÛµ¿ ÇÒ ¼ö ÀÖ½À´Ï´Ù.

¸ñÂ÷

Á¦1Àå ÁÖ¿ä ¿ä¾à

Á¦2Àå ½ÃÀå Æ¯Â¡

Á¦3Àå ½ÃÀå µ¿Çâ°ú Àü·«

Á¦4Àå ½ÃÀå - ±Ý¸®, ÀÎÇ÷¹À̼Ç, ÁöÁ¤ÇÐ, ¹«¿ªÀüÀï°ú °ü¼¼, Äڷγª ÅÂ¿Í È¸º¹ÀÌ ½ÃÀå¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» Æ÷ÇÔÇÑ °Å½Ã°æÁ¦ ½Ã³ª¸®¿À

Á¦5Àå ¼¼°èÀÇ ¼ºÀå ºÐ¼®°ú Àü·« ºÐ¼® ÇÁ·¹ÀÓ¿öÅ©

Á¦6Àå ½ÃÀå ¼¼ºÐÈ­

Á¦7Àå Áö¿ªº°/±¹°¡º° ºÐ¼®

Á¦8Àå ¾Æ½Ã¾ÆÅÂÆò¾ç ½ÃÀå

Á¦9Àå Áß±¹ ½ÃÀå

Á¦10Àå Àεµ ½ÃÀå

Á¦11Àå ÀϺ» ½ÃÀå

Á¦12Àå È£ÁÖ ½ÃÀå

Á¦13Àå Àεµ³×½Ã¾Æ ½ÃÀå

Á¦14Àå Çѱ¹ ½ÃÀå

Á¦15Àå ¼­À¯·´ ½ÃÀå

Á¦16Àå ¿µ±¹ ½ÃÀå

Á¦17Àå µ¶ÀÏ ½ÃÀå

Á¦18Àå ÇÁ¶û½º ½ÃÀå

Á¦19Àå ÀÌÅ»¸®¾Æ ½ÃÀå

Á¦20Àå ½ºÆäÀÎ ½ÃÀå

Á¦21Àå µ¿À¯·´ ½ÃÀå

Á¦22Àå ·¯½Ã¾Æ ½ÃÀå

Á¦23Àå ºÏ¹Ì ½ÃÀå

Á¦24Àå ¹Ì±¹ ½ÃÀå

Á¦25Àå ij³ª´Ù ½ÃÀå

Á¦26Àå ³²¹Ì ½ÃÀå

Á¦27Àå ºê¶óÁú ½ÃÀå

Á¦28Àå Áßµ¿ ½ÃÀå

Á¦29Àå ¾ÆÇÁ¸®Ä« ½ÃÀå

Á¦30Àå °æÀï ±¸µµ¿Í ±â¾÷ ÇÁ·ÎÆÄÀÏ

Á¦31Àå ±âŸ ÁÖ¿ä ±â¾÷ ¹× Çõ½Å ±â¾÷

Á¦32Àå ¼¼°è ½ÃÀå °æÀï º¥Ä¡¸¶Å·°ú ´ë½Ãº¸µå

Á¦33Àå ÁÖ¿ä ÀμöÇÕº´(M&A)

Á¦34Àå ÃÖ±Ù ½ÃÀå µ¿Çâ

Á¦35Àå ½ÃÀåÀÇ ÀáÀç·ÂÀÌ ³ôÀº ±¹°¡, ºÎ¹®, Àü·«

Á¦36Àå ºÎ·Ï

SHW
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

Agentic artificial intelligence (AI) in digital engineering refers to AI systems capable of operating autonomously, making decisions, and completing complex engineering tasks with minimal human intervention. The goal is to automate processes such as design, testing, and optimization, enhancing efficiency, accuracy, and innovation in digital product development.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The primary technologies of agentic AI in digital engineering include generative AI for engineering design, digital twins and AI-driven simulations, AI in robotics and automation, explainable AI (XAI) for engineering, and other related technologies. Generative AI for engineering design uses algorithms to autonomously generate innovative design solutions based on specified parameters, optimizing factors such as functionality, performance, and cost-efficiency. These technologies are deployed through various models, including on-premise and cloud-based solutions, and serve a broad range of applications, such as product design and development, predictive engineering analytics, process automation and workflow optimization, AI-enhanced simulation and testing, intelligent infrastructure, and smart manufacturing. Major industries utilizing these technologies include automotive and aerospace, energy and utilities, construction and civil engineering, electronics and semiconductors, healthcare and medical devices, among others.

The agentic AI in digital engineering market research report is one of a series of new reports from The Business Research Company that provides agentic AI in digital engineering market statistics, including the agentic AI in digital engineering industry global market size, regional shares, competitors with the agentic AI in digital engineering market share, detailed agentic AI in digital engineering market segments, market trends, and opportunities, and any further data you may need to thrive in the agentic AI in digital engineering industry. This agentic AI in digital engineering market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The agentic AI in digital engineering market size has grown exponentially in recent years. It will grow from$3.69 billion in 2024 to $6.04 billion in 2025 at a compound annual growth rate (CAGR) of 64.0%. The growth observed in the historic period can be attributed to several factors, including the increasing demand for automation, the rise in computational power, the expansion of big data, the development of neural networks, growing research in cognitive computing, and the integration of AI in supply chain management.

The agentic AI in digital engineering market size is expected to see exponential growth in the next few years. It will grow to$43.43 billion in 2029 at a compound annual growth rate (CAGR) of 63.7%. The growth projected for the forecast period can be attributed to several factors, including increasing investments from private investors, rising demand for custom high-performance products, a growing number of venture capitalists, and expanding investments in AI research and development. Key trends expected in the forecast period include autonomous design systems, AI-driven generative design, the integration of quantum computing, real-time predictive analytics, AI-enhanced simulation and virtual prototyping, the use of AI for sustainability in engineering, digital twin integration, AI-driven customization, and the development of autonomous manufacturing systems.

The increasing demand for automation is expected to accelerate the growth of agentic AI in the digital engineering market. Automation refers to the use of technology to perform tasks or processes with minimal human intervention, which improves both efficiency and accuracy. The rising demand for automation is driven by the need to lower operational costs and reduce human errors across various industries. Agentic AI in automation enables systems to make independent, intelligent decisions and optimize processes. For example, in September 2023, the International Federation of Robotics, a Germany-based industry association promoting robotics research, reported that global industrial robot installations reached 553,052 units in 2022, reflecting a 5% increase year-over-year. Asia led the region with 73% of total installations, followed by Europe with 15% and the Americas with 10%. As a result, the growing demand for automation is fueling the expansion of agentic AI in the digital engineering market.

Key players in the agentic AI in digital engineering market are focusing on innovations such as AI-driven digital labor platforms to boost workforce productivity, streamline engineering processes, and enable intelligent task automation. These platforms use autonomous AI agents to automate tasks, improve decision-making, and optimize workflows across digital engineering, software development, and enterprise operations. For instance, in March 2025, Salesforce Inc., a U.S.-based cloud software company, launched Agentforce 2dx, the latest version of its digital labor platform. This upgrade allows AI agents to operate autonomously beyond chat interfaces, integrating seamlessly with existing data systems and business logic. It enables AI to anticipate needs, take action dynamically, and enhance efficiency, agility, and scalability.

In January 2025, HCLTech Ltd., an India-based technology company, partnered with Salesforce Inc. to accelerate AI-driven innovation in enterprise applications. This collaboration aims to transform enterprise applications by advancing from basic chatbots to sophisticated AI-driven agents that enhance customer experiences, improve operational efficiency, and drive innovation in agentic AI. Salesforce Inc. uses Agentic AI to enhance automation, customer engagement, and enterprise workflows in digital engineering.

Major players in the agentic AI in digital engineering market are Siemens AG, Accenture plc, NVIDIA Corporation, Capgemini SE, HCL Technologies Limited, Dassault Systemes, PTC Inc., UiPath Inc., Persistent Systems Limited, GlobalLogic Inc., Altair Engineering Inc., Kent PLC, PagerDuty, Cigniti Technologies Limited, Indium Software Limited, Aisera Inc., Sinequa SAS, Adept AI Labs Inc., Ampcome Technologies Pvt. Ltd., and Orby AI Inc.

North America was the largest region in the agentic AI in digital engineering market in 2024. The regions covered in agentic AI in digital engineering report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the agentic AI in digital engineering market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The agentic AI in digital engineering market consists of revenues earned by entities by providing services such as generative design, autonomous simulation, and predictive maintenance. The market value includes the value of related goods sold by the service provider or included within the service offering. The agentic AI in digital engineering market also includes sales of simulation tools, smart sensors, and data analytics tools. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Agentic AI In Digital Engineering Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on agentic ai in digital engineering market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for agentic ai in digital engineering ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The agentic ai in digital engineering market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Agentic AI In Digital Engineering Market Characteristics

3. Agentic AI In Digital Engineering Market Trends And Strategies

4. Agentic AI In Digital Engineering Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Agentic AI In Digital Engineering Growth Analysis And Strategic Analysis Framework

6. Agentic AI In Digital Engineering Market Segmentation

7. Agentic AI In Digital Engineering Market Regional And Country Analysis

8. Asia-Pacific Agentic AI In Digital Engineering Market

9. China Agentic AI In Digital Engineering Market

10. India Agentic AI In Digital Engineering Market

11. Japan Agentic AI In Digital Engineering Market

12. Australia Agentic AI In Digital Engineering Market

13. Indonesia Agentic AI In Digital Engineering Market

14. South Korea Agentic AI In Digital Engineering Market

15. Western Europe Agentic AI In Digital Engineering Market

16. UK Agentic AI In Digital Engineering Market

17. Germany Agentic AI In Digital Engineering Market

18. France Agentic AI In Digital Engineering Market

19. Italy Agentic AI In Digital Engineering Market

20. Spain Agentic AI In Digital Engineering Market

21. Eastern Europe Agentic AI In Digital Engineering Market

22. Russia Agentic AI In Digital Engineering Market

23. North America Agentic AI In Digital Engineering Market

24. USA Agentic AI In Digital Engineering Market

25. Canada Agentic AI In Digital Engineering Market

26. South America Agentic AI In Digital Engineering Market

27. Brazil Agentic AI In Digital Engineering Market

28. Middle East Agentic AI In Digital Engineering Market

29. Africa Agentic AI In Digital Engineering Market

30. Agentic AI In Digital Engineering Market Competitive Landscape And Company Profiles

31. Agentic AI In Digital Engineering Market Other Major And Innovative Companies

32. Global Agentic AI In Digital Engineering Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Agentic AI In Digital Engineering Market

34. Recent Developments In The Agentic AI In Digital Engineering Market

35. Agentic AI In Digital Engineering Market High Potential Countries, Segments and Strategies

36. Appendix

(ÁÖ)±Û·Î¹úÀÎÆ÷¸ÞÀÌ¼Ç 02-2025-2992 kr-info@giikorea.co.kr
¨Ï Copyright Global Information, Inc. All rights reserved.
PC¹öÀü º¸±â