세계의 디지털 전환(DX) 시장 : 점유율 분석, 업계 동향 및 통계, 성장 예측(2025-2030년)
Digital Transformation (DX) - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
상품코드:1687290
리서치사:Mordor Intelligence
발행일:2025년 03월
페이지 정보:영문
라이선스 & 가격 (부가세 별도)
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한글목차
세계의 디지털 전환(DX) 시장 규모는 2025년 1조 6,700억 달러로 추정되며, 예측 기간 중(2025-2030년) CAGR 21.32%로 확대되어, 2030년에는 4조 4,000억 달러에 달할 것으로 예측됩니다.
주요 하이라이트
제조업에 Industry 4.0을 도입함으로써 많은 공장이 디지털 기술을 도입하여 전체 프로세스를 개선, 자동화 및 업그레이드하고 있습니다. 로봇화와 같은 인더스트리 4.0 기술은 이미 많은 기업에서 일반화되었습니다. 예를 들어, 프로젝트 및 사무용 가구 제조업체 Vepa는 창고에서 로봇화를 채택하여 매출 증가에 기여합니다. 협동 로봇은 생산 현장에서의 응용이 확대될 것으로 예측됩니다.
IFR에 따르면 협동 로봇 산업은 2025년까지 123억 달러에 달할 것으로 예상됩니다. 지능형 로봇은 인간과 함께 일하며 대부분의 생산 노동자들이 가장 흔하고 시간이 많이 걸리는 작업을 수행하고 제대로 제공하도록 훈련할 수 있습니다.
게다가 기업에서 IoT 디바이스의 이용 증가는 다양한 산업에서 디지털 전환을 가속시킬 것으로 예측되고 있습니다.
AI와 딥러닝의 응용이 하이테크 대기업에서 중소기업까지 세계적으로 확대되는 가운데 AI 전문 기술자가 부족합니다.
원격 근무자는 다양한 활동을 관리하기 위해 시스템 솔루션을 사용하고 있었습니다. 예를 들어 2022년 1월, Alphabet LLC 산하의 Google은 Airtel과의 제휴에 약 10억 달러를 투입했습니다. 이 제휴는 기업에 저렴한 스마트폰 접근을 제공하는 한편, 클라우드 베이스 컴퓨팅의 이용을 늘리는 것을 목적으로 하고 있었습니다.
디지털 전환(DX) 시장 동향
IoT 부문이 가장 큰 시장 점유율을 차지할 전망
제조, 자동차, 의료 등의 최종 사용자 산업에서 IoT 기술의 채용이 확대되고 있는 것이 시장의 성장을 적극적으로 뒷받침하고 있습니다. 전통적 제조업이 디지털 변혁의 폭풍 속에 있는 중, IoT와 인텔리젠트한 연결성이라는 다음 산업혁명에 박차를 가하고 있습니다.
Industry 4.0과 IoT는 스마트 팩토리 자동화로 알려진 물류 체인 전체의 개발, 생산 및 관리를위한 새로운 기술적 접근법의 중심이 되었습니다. Industry 4.0과 IoT 수용에 의한 제조업의 대규모 시프트는 로보틱스로 인간노동을 보완 및 확대하고 프로세스 실패로 인한 산업사고를 줄이는 기술로 생산을 진행하기 위해 민첩하고 보다 스마트하고 혁신적인 방법을 채용할 것을 기업에 요구하고 있습니다.
커넥티드 디바이스나 센서의 채용률이 높고, M2M 통신이 가능해진 것으로, 제조업에서 생성되는 데이터 포인트가 급증하고 있습니다.
필드 디바이스, 센서, 로봇의 진보는 시장 범위를 한층 더 확대할 것으로 예상됩니다.
세계의 IoT 수요 동향은 향후 수년간 다양한 인더스트리 4.0 용도에 의해 대량 수요가 견인되어 소비자 수요에서 산업 부문으로 이동해 갈 것으로 예상됩니다.
게다가 스마트 시티에 대한 대처가 향후 몇 년간의 IoT 성장의 선구자를 붙일 것으로 예상됩니다.
아시아태평양이 가장 급성장하는 시장이 될 전망
전통적으로 세계 최대의 제조 거점으로 간주되어 온 중국은 디지털화와 공업화를 통해(저렴한) 고용 제조에서 하이엔드 산업 생산으로의 전환에 큰 노력을 기울여 왔습니다.
이 지역에 있어서의 스마트 제조의 채용과 정부의 대처도, 동국의 디지털 변혁을 가속시킬 가능성이 높습니다.
게다가 제14차 국가 경제 사회 개발 5개년 계획 비전 2035에서는 스마트 시티, 산업용 로봇 기술, 인공지능, 사물의 인터넷 등을 중시하고 있습니다.
메이드 인 차이나 2025(MIC2025) 산업 프로그램에서 중국 정부는 로봇 산업을 전략적으로 중요한 섹터로 자리 매김하고 있습니다.
게다가 각국에서의 산업용 IoT의 보급이 진행되고 있는 것도 시장의 성장을 크게 뒷받침하고 있습니다.
또한 아시아의 자동차 부문의 개발은 세계의 산업용 로봇 시장의 거대한 가능성을 만들어내고 있습니다. 예를 들어, 중국은 세계 최대 전기자동차 시장을 가지고 있습니다. IEA에 따르면, 중국은 340만대의 전기자동차를 등록해, 세계 시장 점유율의 51.5%을 차지하고 있습니다. CGTN에 따르면, 중국은 또한 2025년까지 세계 로봇 대국이 되는 목표하고 있는 것을 밝히고 있습니다.
디지털 전환(DX) 시장 개요
디지털 전환 시장은 AccenturePLC, GoogleLLC(Alphabet Inc.), SiemensAG, IBM Corporation, Microsoft Corporation 등의 주요 기업이 반고정화하고 있습니다.
2022년 10월 Google LLC는 더 많은 기업의 컴퓨팅 인프라로의 전환을 지원함으로써 클라우드 비즈니스를 확장했습니다. HCL Technologies Ltd.와의 제휴를 강화함으로써 실현되었으며, HCLTech는 고객이 클라우드 투자에서 더 많은 가치를 신속하게 얻을 수 있도록 2가지 새로운 서비스를 개발했습니다. 또한 HCLTech Cloud Acceleration Team이 새롭게 구성되어 아키텍처 전문 지식과 강력한 통찰력을 결합하여 Google Cloud에서 고객의 Time-to-Value를 개선하고 있습니다.
Accenture는 2022년 9월 기술, 항공우주, 산업, 의료, 생명과학 산업의 포춘 500개 기업에 서비스를 제공하는 성장 전략 컨설팅 회사, Beacon 그룹을 인수했습니다. 기존의 성장 전략 권고 업무 외에도 Beacon 시장 모델링 업무는 현재와 미래에 대상이 되는 시장의 커스텀 메이드 예측을 통해 클라이언트에 의해 높은 투명성을 기재하고 있습니다.
기타 혜택
엑셀 형식 시장 예측(ME) 시트
3개월간의 애널리스트 서포트
목차
제1장 서론
조사의 전제조건과 시장 정의
조사 범위
제2장 조사 방법
제3장 주요 요약
제4장 산업 생태계 분석
제5장 현재의 시장 시나리오와 디지털 전환 프랙티스의 진화
제6장 디지털 변혁의 지역 적응도의 분석
제7장 디지털 변혁 산업에 대한 COVID-19의 영향 분석
제8장 시장 세분화
유형별
인공지능과 머신러닝
현재의 시장 시나리오와 예측 기간 시장 예측
주요 성장 영향요인(촉진요인, 과제, 기회)
유형별 시장 분석( 수요 예측｜동향｜시장 전망)
머신러닝
자연언어처리(NLP)
컨텍스트 대응 컴퓨팅
컴퓨터 비전
기타
최종 사용자별 시장 분석(제조, 석유 및 가스, 유틸리티, 자동차·운수, 소매, 은행, 금융서비스 및 보험(BFSI), 프로세스 산업, 기타)
지역별 시장 분석(북미, 유럽, 아시아태평양, 기타 아시아태평양)
주요 시장의 기존 기업과 신흥 기업의 분석
시장 전망
산업용도의 증강현실(VR 및 AR)
현재의 시장 시나리오와 예측 기간 시장 예측
주요 성장 요인(촉진요인, 과제, 기회)
이용 사례별 시장 분석(트레이닝 및 시뮬레이션, 생산 및 조립, 3D 모델링, 판매 및 마케팅, 기타)
VR과 AR의 상대 성장 예측 분석
지역별 시장 분석(북미, 유럽, 아시아태평양, 기타 아시아태평양)
주요 시장의 기존 기업과 신흥 기업의 분석
시장 전망
IoT
현재의 시장 시나리오와 예측 기간 시장 예측
주요 성장 요인(촉진요인, 과제, 기회)
시장 유형별 내역(솔루션, 플랫폼, 서비스)
이용 사례별 시장 분석(예지 보전, 비즈니스 프로세스 최적화, 자산 추적 및 공급망 관리, 기타)
최종 사용자별 시장 분석(자동차, 공정 산업, 석유 및 가스, 자동차 및 항공우주, 제조, 기타)
유형별 시장 분석(교통 관리, 스마트 티켓, 모빌리티 라이드 쉐어링, 라이드 헤일링, Mobility-as-a-Service, 스마트 하이웨이)
스마트 재료
지능형 프로세스 자동화
지역별
북미
유럽
아시아태평양
라틴아메리카
중동 및 아프리카
제9장 경쟁 구도
기업 프로파일
Accenture PLC
Google LLC(Alphabet Inc.)
Siemens AG
IBM Corporation
Microsoft Corporation
Cognex Corporation
Hewlett Packard Enterprise
SAP SE
EMC Corporation(Dell EMC)
Oracle Corporation
Adobe Inc.
Amazon Web Services Inc.(Amazon.com Inc.)
Apple Inc.
Salesforce.com Inc.
Cisco Systems Inc.
제10장 변화를 가져오는 주요 기술
양자 컴퓨팅
MaaS(Manufacturing-as-a-Service)
인지 프로세스 자동화
나노기술
JHS
영문 목차
영문목차
The Digital Transformation Market size is estimated at USD 1.67 trillion in 2025, and is expected to reach USD 4.40 trillion by 2030, at a CAGR of 21.32% during the forecast period (2025-2030).
Key Highlights
With the introduction of Industry 4.0 in the manufacturing sector, numerous factories are embracing digital technology to improve, automate, and upgrade the whole process. Industry 4.0 technology, such as robotization, is already commonplace in many enterprises. For example, Vepa, a project and office furniture maker, employs robotization in its warehouse to help it increase its turnover. Collaborative robots are projected to see a growing application in production.
According to IFR, the industry for collaborative robots is anticipated to reach USD 12.3 billion by 2025. Intelligent robots work alongside humans and can be trained by most production workers to execute the most common, time-consuming jobs and deliver them properly.
Furthermore, the increasing use of IoT devices in companies is predicted to accelerate digital transformation in various industries. According to Cisco's Annual Internet Report, there will be about 30 billion network-connected gadgets and services by 2023. IoT devices will account for 50% (14.7 billion) of all networked devices by 2023.
As AI and deep learning applications expand globally, from tech giants to small and medium-sized businesses, there has been a shortage of expert AI technicians. Without talent, these increased investments in artificial intelligence and machine learning could be wasted, leading to financial losses and unrealized opportunities.
Remote workers used system solutions to manage various activities. It incorporates various sophisticated technologies, such as artificial intelligence (AI), cloud computing, products, big data tools, and capabilities, to maximize company operations. Following the pandemic, some firms intend to invest in modern technology to address the increasing need for digitalization. For instance, in January 2022, Google, an Alphabet LLC company, committed around USD 1 billion in collaboration with Airtel. The collaboration aimed to provide companies with cheaper smartphone access while also increasing their use of cloud-based computing. The investment aided in the digitization of India's small enterprises by allowing them to use digital technologies. Such initiatives are projected to boost the demand for digital transformation and help the market grow post-COVID-19.
Digital Transformation (DX) Market Trends
The IoT Segment is Expected to Occupy the Largest Market Share
The growing adoption of IoT technology across end-user industries, such as manufacturing, automotive, and healthcare, is positively driving the market's growth. With the traditional manufacturing sector amid a digital transformation, IoT is fueling the next industrial revolution of intelligent connectivity. This is changing how industries approach increasingly complex processes of systems and machines to improve efficiency and reduce downtime.
Industry 4.0 and IoT are central to new technological approaches for developing, producing, and managing the entire logistics chain, otherwise known as smart factory automation. Massive shifts in manufacturing due to Industry 4.0 and the acceptance of IoT require enterprises to adopt agile, smarter, and innovative ways to advance production with technologies that complement and augment human labor with robotics and reduce industrial accidents caused by process failure.
With the high rate of adoption of connected devices and sensors and the enabling of M2M communication, there has been a surge in data points generated in the manufacturing industry. These data points can be of various kinds, ranging from a metric describing the time taken for the material to pass through one process cycle to a more advanced one, such as calculating the material stress capability in the automotive industry.
The advancements in field devices, sensors, and robots are expected to expand the market scope further. IoT technologies are overcoming the labor shortage in the manufacturing sector. For more and more organizations, using Industry 4.0 technologies, like robotization, is part of day-to-day operations.
The global IoT demand trend is expected to shift toward the industrial space from consumer demand over the coming years, with sheer volume demand driven by various Industry 4.0 applications. A significant share of the demand is expected to drive the manufacturing industries, energy, business mobility, healthcare, and supply chain.
Moreover, smart city initiatives are expected to spearhead IoT growth over the coming years. IoT devices and systems are expected to increase as part of transportation, utilities, and infrastructure. Government initiatives and drives in line with this are expected to boost the adoption rates.
Asia-Pacific is Expected to be the Fastest Growing Market
Traditionally regarded as the world's leading manufacturing facility, China has made significant efforts to transition from (cheap) employment manufacturing to high-end industrial production through digitization and industrialization. China is estimated to account for one-third of the worldwide IIoT market by 2025, according to the GSMA.
The adoption of smart manufacturing and governmental efforts in the region are also likely to accelerate the country's digital transformation. China plans to develop its smart manufacturing system and accomplish major industry transformation by 2025, per the 13th Five-Year Plan of Smart Manufacturing.
Furthermore, in the 14th Five-Year Plan for National Economic and Social Development and Vision 2035, the government emphasizes smart cities, robotic technology for the industrial industry, artificial intelligence, and the Internet of Things, among other things.
In its Made in China 2025 (MIC 2025) industrial program, the Chinese government has identified the robotics industry as a strategically significant sector. Foreign investors have both possibilities and disadvantages as a result of this categorization.
Additionally, the increasing prevalence of industrial IoT across countries has substantially aided market growth. For example, the "Made in China 2025" initiative aims to broaden the Chinese economy by shifting toward innovation-driven and quality-focused production.
Furthermore, Asia's developing automobile sector is creating significant worldwide industrial robot market potential. China, for example, has the world's largest electric car market. According to the IEA, China registered 3.4 million electric vehicles, accounting for 51.5% of the worldwide market share. According to CGTN, China has also revealed its aim to become a worldwide robot powerhouse by 2025.
Digital Transformation (DX) Market Overview
The Digital Transformation Market is semi-consolidated, with major players like Accenture PLC, Google LLC (Alphabet Inc.), Siemens AG, IBM Corporation, and Microsoft Corporation. Players in the market are adopting strategies such as partnerships, mergers, innovations, and acquisitions to enhance their product offerings and gain sustainable competitive advantage.
In October 2022, Google LLC expanded its cloud business by assisting more enterprises in migrating to its computing infrastructure. It did so by increasing its partnership with the Indian technology consulting firm HCL Technologies Ltd. HCLTech to develop a pair of new offerings as part of the expanded partnership to help customers get more value from their cloud investments faster. They included the recent Google Cloud Global Migration and Modernization Factory, which provides a combination of experts, unique intellectual property, migration frameworks, and automation tools to assist enterprises more quickly in migrating critical workloads to Google Cloud. Furthermore, a new HCLTech Cloud Acceleration Team was formed to increase customer time-to-value on Google Cloud through a combination of architectural expertise and powerful insights.
In September 2022, Accenture acquired the Beacon Group, a growth strategy consulting firm that serves Fortune 500 companies in the technology, aerospace, industrial, healthcare, and life sciences industries. In addition to its traditional growth strategy advisory work, Beacon's market modeling practice provides clients with greater transparency as they work through custom-made forecasting of current and potential markets served. The company's scalable platform leveraged data and insights from 400 market segments, 16 geographies, and 15 vertical markets and created interactive custom forecast market models.
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 INDUSTRY ECOSYSTEM ANALYSIS (Detailed Coverage of Key Stakeholders in Digital Transformation Industry Product/Solution Providers, System Integrators/VARs, Connectivity Providers, Regulatory Bodies, End-users, Service Providers, etc.)
5 CURRENT MARKET SCENARIO AND EVOLUTION OF DIGITAL TRANSFORMATION PRACTICES
6 ANALYSIS OF REGIONAL READINESS DIGITAL TRANSFORMATION ADOPTION (Analysis of the current readiness based on key base indicators related to underlying market parameters and Market Outlook)
7 IMPACT OF COVID-19 ON THE DIGITAL TRANSFORMATION INDUSTRY (Key themes addressed in the study will include short & medium-term impact on budgets for Digital Transformation practices| Net effect on key segments such as robotics, Extended reality, additive manufacturing, etc.| Regional impact analysis)
8 MARKET SEGMENTATION
8.1 By Type
8.1.1 Artificial Intelligence and Machine Learning
8.1.1.1 Current Market Scenario and Market Projections for the Forecast Period
8.1.1.2 Key Growth Influencers (Drivers, Challenges, and Opportunities)
8.1.1.3 Market Breakdown by Type (Demand Forecasts | Trends | Market Outlook)
8.1.1.3.1 Machine Learning
8.1.1.3.2 Natural Language Processing (NLP)
8.1.1.3.3 Context-aware Computing
8.1.1.3.4 Computer Vision
8.1.1.3.5 Other Types
8.1.1.4 Market Breakdown by End-user (Manufacturing, Oil and Gas, Utilities, Automotive and Transportation, Retail, BFSI, Process Industries, and Others)
8.1.1.5 Market Breakdown by Region (North America, Europe, Asia-Pacific, and Rest of the World)
8.1.1.6 Analysis of the Key Market Incumbents and Emerging Players
8.1.1.7 Market Outlook
8.1.2 Extended Reality (VR & AR) for Industrial Applications
8.1.2.1 Current Market Scenario and Market Projections for the Forecast Period
8.1.2.2 Key Growth Influencers (Drivers, Challenges, and Opportunities)
8.1.2.3 Market Breakdown by Use-cases (Training & Simulation, Production & Assembly, 3D Modeling, Sales & Marketing, and Others)
8.1.2.4 Relative Growth Forecast Analysis for VR & AR
8.1.2.5 Market Breakdown by Region (North America, Europe, Asia-Pacific, and Rest of the World)
8.1.2.6 Analysis of the Key Market Incumbents and Emerging Players
8.1.2.7 Market Outlook
8.1.3 IoT
8.1.3.1 Current Market Scenario and Market Projections for the Forecast Period
8.1.3.2 Key Growth Influencers (Drivers, Challenges, and Opportunities)
8.1.3.3 Market Breakdown by Type (Solutions, Platforms & Services)
8.1.3.4 Market Breakdown by Use-case (Predictive Maintenance, Business Process Optimization, Asset Tracking & Supply Chain Management, and Others)
8.1.3.5 Market Breakdown by End User (Automotive, Process Industries, Oil & Gas, Automotive & Aerospace, Manufacturing, and Others)
8.1.3.6 Market Breakdown by Region
8.1.3.7 Analysis of the Key Market Incumbents and Emerging Players
8.1.3.8 Market Outlook
8.1.4 Industrial Robotics
8.1.4.1 Current Market Scenario and Market Projections for the Forecast Period
8.1.4.2 Key Growth Influencers (Drivers, Challenges, and Opportunities)
8.1.4.3 Market Breakdown by Type (Articulated, Linear, Cylindrical, Parallel, SCARA, and Others)
8.1.4.4 Market Breakdown by End User (Metal & Machinery, Electrical & Electronics, Automotive, Chemical and Manufacturing, and Others)
8.1.4.5 Market Breakdown by Region
8.1.4.6 Analysis of the Key Market Incumbents and Emerging Players
8.1.4.7 Market Outlook
8.1.5 Blockchain
8.1.5.1 Current Market Scenario and Market Projections for the Forecast Period
8.1.5.2 Key Growth Influencers (Drivers, Challenges, and Opportunities)
8.1.5.3 Market Breakdown by Type (Logistics & Supply Chain, Counterfeit Management, Quality Control & Compliance, and Others)
8.1.5.4 Market Breakdown by Use-case (Automotive, Aerospace & Defense, Industrial, Retail and Others)
8.1.5.5 Market Breakdown by Region
8.1.5.6 Analysis of the Key Market Incumbents and Emerging Players
8.1.5.7 Market Outlook
8.1.6 Digital Twin
8.1.6.1 Current Market Scenario and Market Projections for the Forecast Period
8.1.6.2 Key Growth Influencers (Drivers, Challenges, and Opportunities)
8.1.6.3 Market Breakdown by Type (Manufacturing. Energy & Power, Aerospace, Oil & Gas, Others)
8.1.6.4 Market Breakdown by Region
8.1.6.5 Analysis of the Key Market Incumbents and Emerging Players
8.1.6.6 Market Outlook
8.1.7 Additive Manufacturing
8.1.7.1 Current Market Scenario and Market Projections for the Forecast Period
8.1.7.2 Key Growth Influencers (Drivers, Challenges, and Opportunities)
8.1.7.3 Market Breakdown by Type (Equipment, Materials, Services & Software)
8.1.7.4 Market Breakdown by End User (Automotive, Manufacturing, Healthcare, Others)
8.1.7.5 Market Breakdown by Region
8.1.7.6 Analysis of the Key Market Incumbents and Emerging Players
8.1.7.7 Market Outlook
8.1.8 Industrial Cyber security
8.1.8.1 Current Market Scenario and Market Projections for the Forecast Period
8.1.8.2 Key Growth Influencers (Drivers, Challenges, and Opportunities)
8.1.8.3 Market Breakdown by Type (Network, Application, Endpoint, Cloud, Others)
8.1.8.4 Market Breakdown by End User (Power, Utilities, Transportation, Chemicals & Manufacturing)
8.1.8.5 Market Breakdown by Region
8.1.8.6 Analysis of the Key Market Incumbents and Emerging Players
8.1.8.7 Market Outlook
8.1.9 Wireless Connectivity
8.1.9.1 Current Market Scenario and Market Projections for the Forecast Period
8.1.9.2 Key Growth Influencers (Drivers, Challenges, and Opportunities)
8.1.9.3 Market Breakdown by Type (Wi-Fi, NFC, ZigBee, Z-Wave, LTE Cat-M1, NB-IoT, Sigfox, Others)
8.1.9.4 Market Breakdown by End User (Automotive & Transportation, Industrial, Telecommunication, Healthcare, Others)
8.1.10 Industrial 3D Printing Market
8.1.10.1 Current Market Scenario and Market Projections for the Forecast Period
8.1.10.2 Key Growth Influencers (Drivers, Challenges, and Opportunities)
8.1.10.3 Breakdown by Machine & Services
8.1.11 Edge Computing
8.1.11.1 Current Market Scenario and Market Projections for the Forecast Period
8.1.11.2 Key Growth Influencers (Drivers, Challenges, and Opportunities)
8.1.11.3 Market Breakdown by Hardware, Platforms, Software & Services
8.1.11.4 Market Breakdown by End User
8.1.12 Smart Mobility
8.1.12.1 Current Market Scenario and Market Projections for the Forecast Period
8.1.12.2 Key Growth Influencers (Drivers, Challenges, and Opportunities)
8.1.12.3 Market Breakdown by Type (Traffic Management, Smart Ticketing, Mobility Ridesharing, Ride Hailing, Mobility-as-a-Service, and Smart Highway)
