세계의 디지털 전환 시장(-2035년) : 기술 유형, 제공 구분, 전개, 용도, 기업 규모, 비즈니스 모델, 최종사용자, 지역별 산업 동향과 예측

Digital Transformation Market Forecast till 2035, Distribution by Type of Technology, Type of Offering, Type of Deployment, Type of Application, Company Size, Business Model, End User and, Geographical Region; Industry Trend and Future Forecast.

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한글목차

세계 디지털 전환 시장 규모는 현재 1조 4,222억 3,000만 달러에서 예측 기간 동안 CAGR 22.50%로 성장하여 2035년에는 13조 2,631억 7,000만 달러에 달할 것으로 예측됩니다.

디지털 전환 시장 기회: 부문별 시장 기회

기술 유형별

• 클라우드 컴퓨팅
• 빅데이터 및 분석
• 사이버 보안
• AI
• IoT
• 비즈니스 인텔리전스
• 블록체인

서비스별

• 서비스
• 솔루션

전개 유형별

• 호스트형
• On-Premise형

용도별

• 회계
• 재무 관리
• IT 운영
• 공급망 관리
• 인사 서비스

기업 규모별

• 대기업
• 중소기업

비즈니스 모델별

• B2B
• B2C
• B2B2C

최종 사용자별

• 은행, 금융서비스 및 보험(BFSI)
• 제조
• IT 및 통신
• 소매 및 소비재
• 헬스케어
• 교통
• 물류
• 정부기관
• 기타

지역별

• 북미
• 미국
• 캐나다
• 멕시코
• 기타 북미 국가
• 유럽
• 오스트리아
• 벨기에
• 덴마크
• 프랑스
• 독일
• 아일랜드
• 이탈리아
• 네덜란드
• 노르웨이
• 러시아
• 스페인
• 스웨덴
• 스위스
• 영국
• 기타 유럽 국가
• 아시아
• 중국
• 인도
• 일본
• 싱가포르
• 한국
• 기타 아시아 국가
• 라틴아메리카
• 브라질
• 칠레
• 콜롬비아
• 베네수엘라
• 기타 라틴아메리카 국가
• 중동 및 북아프리카
• 이집트
• 이란
• 이라크
• 이스라엘
• 쿠웨이트
• 사우디아라비아
• 아랍에미리트(UAE)
• 기타 중동 및 북아프리카 국가
• 세계 기타 지역
• 호주
• 뉴질랜드
• 기타 국가

디지털 전환 시장 : 성장과 트렌드

기술의 급속한 발전으로 디지털 도구와 혁신은 비즈니스 현장에서 필수적인 요소로 자리 잡았으며, 신속한 의사결정과 지역적 제약을 제거할 수 있게 되었습니다. 디지털 전환은 주로 클라우드 컴퓨팅, 빅데이터 분석, 인공지능, 사물인터넷(IoT) 등의 디지털 솔루션을 도입하여 통신 속도를 향상시키고 고객 경험을 개선하는 것을 포함합니다. 이러한 디지털 전환 툴을 통해 기업은 다양한 소스에서 실시간으로 데이터를 수집하여 보다 정확한 비즈니스 의사결정을 내릴 수 있습니다. 예를 들어, 금융 분야에서는 이러한 디지털 혁신을 통해 시스템에 대한 원격 액세스가 가능해져 직원들이 전통적인 사무실 환경 밖에서도 업무를 수행할 수 있게 됩니다. 제약 분야에서는 머신러닝, 빅데이터 분석, 인공지능, 디지털 트윈 기술과 같은 첨단 기술 도구가 의약품 개발과 관련된 실시간 데이터 수집에 필수적입니다.

기술의 급속한 발전으로 디지털 도구와 혁신은 비즈니스 현장에서 필수 불가결한 존재가 되어 신속한 의사결정을 가능하게 하고 지리적 제약을 없애고 있습니다. 디지털 전환은 주로 클라우드 컴퓨팅, 빅데이터 분석, AI, IoT와 같은 디지털 솔루션을 도입하여 커뮤니케이션을 가속화하고 고객 경험을 향상시키기 위한 노력입니다. 이러한 디지털 전환 툴을 활용하면 기업은 다양한 소스에서 실시간으로 데이터를 수집하여 보다 정확한 비즈니스 의사결정을 내릴 수 있습니다. 예를 들어, 금융 분야에서는 이러한 디지털 기술을 통해 시스템에 대한 원격 액세스가 가능해져 직원들이 기존 사무실에 얽매이지 않고 업무를 수행할 수 있게 됩니다. 또한, 제약 분야에서는 머신러닝, 빅데이터 분석, AI, 디지털 트윈 기술과 같은 첨단 기술이 의약품 개발 관련 실시간 데이터 수집에 중요한 역할을 하고 있습니다.

다양한 산업에서 디지털 기술을 도입하려는 움직임이 계속되고 있어 디지털 전환 시장은 앞으로도 꾸준히 성장할 것으로 예측됩니다. 디지털 전환 솔루션과 기술에 대한 수요 증가에 대응하기 위해 업계 이해관계자들은 고객 중심의 서비스와 셀프 서비스 디지털 솔루션 포털을 구축하기 위한 전략적 노력을 기울이고 있으며, Amazon, Google, Microsoft 등 유명 기업들은 클라우드 솔루션과 예측 분석 툴을 강화하기 위해 노력하고 있습니다. Microsoft와 같은 유명 기업들은 클라우드 솔루션과 예측 분석 도구의 구색을 강화하기 위해 파트너십을 맺고 있습니다.

세계의 디지털 전환(Digital Transformation) 시장을 조사했으며, 시장 개요와 배경, 시장 영향요인 분석, 시장 규모 추이 및 예측, 각종 부문별/지역별 상세 분석, 경쟁 구도, 주요 기업 개요 등의 정보를 전해드립니다.

목차

제1장 서문

제2장 조사 방법

제3장 경제 및 기타 프로젝트 특유의 고려사항

제4장 거시경제 지표

제5장 주요 요약

제6장 서론

제7장 경쟁 구도

제8장 기업 개요

• 본 장의 개요
• Alcor Solutions
• Adobe
• Accenture
• Aexonic Technologies
• Brillio
• Broadcom
• Cognizant
• Equinix
• Dell
• eMudhra
• Google
• Happiest Minds
• HCL Technologies
• Marlabs
• Microsoft
• Oracle
• Hewlett Packard Enterprise Development LP
• Interfacing
• IBM
• Kissflow
• SmartStream Technologies
• Scoro Software
• TIBCO Software
• Yash Technologies

제9장 디지털 전환 시장 스타트업 에코시스템

제10장 밸류체인 분석

제11장 SWOT 분석

제12장 세계의 디지털 전환 시장

제13장 기술 유형별 시장 기회

제14장 제공 구분별 시장 기회

제15장 전개 형태별 시장 기회

제16장 용도별 시장 기회

제17장 최종사용자별 시장 기회

제18장 기업 규모별 시장 기회

제19장 비즈니스 모델별 시장 기회

제20장 북미의 디지털 변혁 시장 기회

제21장 유럽의 디지털 변혁 시장 기회

제22장 아시아의 디지털 변혁 시장 기회

제23장 중동 및 북아프리카의 디지털 변혁 시장 기회

제24장 라틴아메리카의 디지털 변혁 시장 기회

제25장 세계 기타 지역의 디지털 변혁 시장 기회

제26장 표 형식 데이터

제27장 기업 및 단체 리스트

제28장 커스터마이즈 기회

제29장 ROOTS 구독 서비스

제30장 저자 상세

LSH

영문 목차

영문목차

GLOBAL DIGITAL TRANSFORMATION MARKET: OVERVIEW

As per Roots Analysis, the global digital transformation market size is estimated to grow from USD 1,422.23 billion in the current year to USD 13,263.17 billion by 2035, at a CAGR of 22.50% during the forecast period, till 2035.

The opportunity for digital transformation market has been distributed across the following segments:

Type of Technology

• Cloud Computing
• Big Data and Analytics
• Cybersecurity
• Artificial Intelligence
• Internet of Things
• Business Intelligence
• Blockchain

Type of Offering

• Services
• Solutions

Type of Deployment

• Hosted
• On-Premise

Type of Application

• Accounting
• Finance Management
• IT Operations
• Supply Chain Management
• HR Services

Company Size

• Large Enterprises
• Small and Medium-sized Enterprises

Business Model

• B2B
• B2C
• B2B2C

End User

• Banking Financial Services and Insurance (BFSI), Manufacturing
• IT and Telecommunications
• Retail and Consumer Goods
• Healthcare
• Transportation
• Logistics
• Government
• Other

Geographical Regions

• North America
• US
• Canada
• Mexico
• Other North American countries
• Europe
• Austria
• Belgium
• Denmark
• France
• Germany
• Ireland
• Italy
• Netherlands
• Norway
• Russia
• Spain
• Sweden
• Switzerland
• UK
• Other European countries
• Asia
• China
• India
• Japan
• Singapore
• South Korea
• Other Asian countries
• Latin America
• Brazil
• Chile
• Colombia
• Venezuela
• Other Latin American countries
• Middle East and North Africa
• Egypt
• Iran
• Iraq
• Israel
• Kuwait
• Saudi Arabia
• UAE
• Other MENA countries
• Rest of the World
• Australia
• New Zealand
• Other countries

DIGITAL TRANSFORMATION MARKET: GROWTH AND TRENDS

Due to the rapid advancements in technology, digital tools and innovations have become integral to the business landscape, allowing for quicker decision-making and the elimination of geographical constraints. Digital transformation primarily involves the incorporation of digital solutions, such as cloud computing, big data analytics, artificial intelligence, and the internet of things (IoT) to enhance communication speed and improve customer experiences. With these digital transformation tools, businesses can gather data from diverse sources in real-time, aiding in more accurate business decision-making. For example, in the finance sector, these digital innovations provide remote access to systems, enabling employees to work outside traditional office settings. In the pharmaceutical sector, cutting-edge technological tools like machine learning, big data analytics, artificial intelligence, and digital twin technology are crucial for real-time data collection relevant to drug development.

Given the ongoing trend of adopting digital technologies across various industries, we anticipate that the digital transformation market will continue to expand steadily. To meet the rising demand for digital transformative solutions and technologies, industry stakeholders are undertaking strategic initiatives aimed at creating customer-focused offerings and self-service digital solution portals. Prominent companies such as Amazon, Google, and Microsoft are forging partnerships to strengthen their range of cloud solutions and predictive analytics tools.

In June 2024, Worksoft, a leading provider of intelligent test automation solutions, established a strategic alliance with KPMG, a professional cloud services firm, to set a benchmark for digital transformation in India by providing analytical tools and expertise. Through this partnership, Worksoft will supply automation technology to enhance business process testing, which will aid in navigating the complexities of modern business operations. Likewise, numerous industry leaders are intensifying their research and development efforts to deliver advanced technological solutions across different sectors, making this market appealing for future investment.

DIGITAL TRANSFORMATION MARKET: KEY SEGMENTS

Market Share by Type of Technology

Based on the type of technology, the global digital transformation market is segmented into cloud computing, big data and analytics, cybersecurity, artificial intelligence, Internet of Things, Business Intelligence and Blockchain. According to our estimates, currently, cloud computing segment captures the majority share of the market. This can be attributed to the extensive use of cloud services across various industries, providing business flexibility, scalability, and storage options. In addition, leading companies such as IBM, Microsoft, Amazon Web Services, and Google are consistently making significant advancements in cloud solutions that provide immersive experiences and enhance task management capabilities. However, artificial intelligence segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Type of Offering

Based on the type of offering, the digital transformation market is segmented into solutions and services. According to our estimates, currently, solutions segment captures the majority share of the market. This can be attributed to the increasing demand for solutions like artificial intelligence, cybersecurity, Internet of Things, and cloud computing to enhance business efficiency. Additionally, digital solutions have become essential in digital transformation strategies, enabling automation and optimizing resources for peak efficiency in organizations. However, services segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Type of Deployment

Based on the type of deployment, the digital transformation market is segmented into hosted, and on-premise. According to our estimates, currently, hosted (cloud) segment captures the majority share of the market. This can be attributed to the greater scalability, cost-effectiveness, and accessibility that hosted (cloud) solutions provide. Additionally, the on-premise segment maintains the second-largest market share as many industries depend on on-premise solutions for their business functions. On-premise solutions are easily customizable and user-friendly.

Market Share by Type of Application

Based on the type of application, the digital transformation market is segmented into accounting, finance management, IT operations, supply chain management and HR services. According to our estimates, currently, finance management services segment captures the majority share of the market. This can be attributed to the swift implementation of digital transformation solutions within financial services, facilitating real-time financial advice, robotic process automation, and digital banking solutions. These digital transformation solutions are dependent on cloud-based analytics and artificial intelligence to provide a seamless customer experience and efficient financial operations. As a result of the continued adoption in the financial sector, this segment is anticipated to sustain a higher compound annual growth rate (CAGR) throughout the forecast period. Further, it is worth noting that IT operations occupy the second-largest share of the market, driven by the growing utilization of cloud computing and AI-powered management and automation in IT operations and industrial settings.

Market Share by Company Size

Based on the company size, the digital transformation market is segmented into large and small and medium enterprises. According to our estimates, currently, large enterprises segment captures the majority share of the market. This can be attributed to their extensive resources and technological capabilities that support the creation of innovative digital transformation solutions. However, small and medium enterprises segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by End User

Based on the end user, the digital transformation market is segmented into banking, financial services and insurance (BFSI), manufacturing, IT and telecommunications, retail and consumer goods, healthcare, transportation and logistics, government, and other. According to our estimates, currently, BFSI segment captures the majority share of the market. This can be attributed to a heightened emphasis by financial institutions on automation to provide seamless technical assistance to customers. Additionally, the increasing demand for remote services has further driven the need for digital transformation solutions within the BFSI sector. However, healthcare segment is anticipated to grow at a higher CAGR during the forecast period

Market Share by Geographical Regions

Based on the geographical regions, the digital transformation market is segmented into North America, Europe, Asia, Latin America, Middle East and North Africa, and Rest of the World. According to our estimates, currently, North America captures the majority share of the market. This can be attributed to the presence of established cloud computing technology developers in this area. These industry leaders are concentrating on creating advanced digital technology solutions, including machine learning, cloud computing, and automation tools for a variety of industrial sectors. Additionally, the increasing use of digital payment solutions in this region has further accelerated the demand for digital transformation solutions. However, digital transformation technology market in the Asia-Pacific region is expected to grow at a CAGR during the forecast period.

Example Players in Digital Transformation Market

• Alcor Solutions
• Adobe
• Accenture
• Aexonic Technologies
• Brillio
• Broadcom
• Cognizant
• Equinix
• Dell
• eMudhra
• Google
• Happiest Minds
• HCL Technologies
• Marlabs
• Microsoft
• Oracle
• Hewlett Packard Enterprise Development LP
• Interfacing
• IBM
• Kissflow
• SmartStream Technologies
• Scoro Software
• TIBCO Software
• Yash Technologies

DIGITAL TRANSFORMATION MARKET: RESEARCH COVERAGE

The report on the digital transformation market features insights on various sections, including:

• Market Sizing and Opportunity Analysis: An in-depth analysis of the digital transformation market, focusing on key market segments, including [A] type of technology, [B] type of offering, [C] type of deployment, [D] type of application, [E] company size, [F] business model, [G] end user and [H] geographical regions.
• Competitive Landscape: A comprehensive analysis of the companies engaged in the Digital transformation market, based on several relevant parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters, [D] ownership structure.
• Company Profiles: Elaborate profiles of prominent players engaged in the Digital transformation market, providing details on [A] location of headquarters, [B]company size, [C] company mission, [D] company footprint, [E] management team, [F] contact details, [G] financial information, [H] operating business segments, [I] digital transformation portfolio, [J] moat analysis, [K] recent developments, and an informed future outlook.
• SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter.

KEY QUESTIONS ANSWERED IN THIS REPORT

• How many companies are currently engaged in digital transformation market?
• Which are the leading companies in this market?
• What factors are likely to influence the evolution of this market?
• What is the current and future market size?
• What is the CAGR of this market?
• How is the current and future market opportunity likely to be distributed across key market segments?

REASONS TO BUY THIS REPORT

• The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants.
• Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies.
• The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects.

ADDITIONAL BENEFITS

• Complimentary Excel Data Packs for all Analytical Modules in the Report
• 10% Free Content Customization
• Detailed Report Walkthrough Session with Research Team
• Free Updated report if the report is 6-12 months old or older

TABLE OF CONTENTS

1. PREFACE

• 1.1. Introduction
• 1.2. Market Share Insights
• 1.3. Key Market Insights
• 1.4. Report Coverage
• 1.5. Key Questions Answered
• 1.6. Chapter Outlines

2. RESEARCH METHODOLOGY

• 2.1. Chapter Overview
• 2.2. Research Assumptions
• 2.3. Database Building
  • 2.3.1. Data Collection
  • 2.3.2. Data Validation
  • 2.3.3. Data Analysis
• 2.4. Project Methodology
  • 2.4.1. Secondary Research
    • 2.4.1.1. Annual Reports
    • 2.4.1.2. Academic Research Papers
    • 2.4.1.3. Company Websites
    • 2.4.1.4. Investor Presentations
    • 2.4.1.5. Regulatory Filings
    • 2.4.1.6. White Papers
    • 2.4.1.7. Industry Publications
    • 2.4.1.8. Conferences and Seminars
    • 2.4.1.9. Government Portals
    • 2.4.1.10. Media and Press Releases
    • 2.4.1.11. Newsletters
    • 2.4.1.12. Industry Databases
    • 2.4.1.13. Roots Proprietary Databases
    • 2.4.1.14. Paid Databases and Sources
    • 2.4.1.15. Social Media Portals
    • 2.4.1.16. Other Secondary Sources
  • 2.4.2. Primary Research
    • 2.4.2.1. Introduction
    • 2.4.2.2. Types
      • 2.4.2.2.1. Qualitative
      • 2.4.2.2.2. Quantitative
    • 2.4.2.3. Advantages
    • 2.4.2.4. Techniques
      • 2.4.2.4.1. Interviews
      • 2.4.2.4.2. Surveys
      • 2.4.2.4.3. Focus Groups
      • 2.4.2.4.4. Observational Research
      • 2.4.2.4.5. Social Media Interactions
    • 2.4.2.5. Stakeholders
      • 2.4.2.5.1. Company Executives (CXOs)
      • 2.4.2.5.2. Board of Directors
      • 2.4.2.5.3. Company Presidents and Vice Presidents
      • 2.4.2.5.4. Key Opinion Leaders
      • 2.4.2.5.5. Research and Development Heads
      • 2.4.2.5.6. Technical Experts
      • 2.4.2.5.7. Subject Matter Experts
      • 2.4.2.5.8. Scientists
      • 2.4.2.5.9. Doctors and Other Healthcare Providers
    • 2.4.2.6. Ethics and Integrity
      • 2.4.2.6.1. Research Ethics
      • 2.4.2.6.2. Data Integrity
  • 2.4.3. Analytical Tools and Databases

3. ECONOMIC AND OTHER PROJECT SPECIFIC CONSIDERATIONS

• 3.1. Forecast Methodology
  • 3.1.1. Top-Down Approach
  • 3.1.2. Bottom-Up Approach
  • 3.1.3. Hybrid Approach
• 3.2. Market Assessment Framework
  • 3.2.1. Total Addressable Market (TAM)
  • 3.2.2. Serviceable Addressable Market (SAM)
  • 3.2.3. Serviceable Obtainable Market (SOM)
  • 3.2.4. Currently Acquired Market (CAM)
• 3.3. Forecasting Tools and Techniques
  • 3.3.1. Qualitative Forecasting
  • 3.3.2. Correlation
  • 3.3.3. Regression
  • 3.3.4. Time Series Analysis
  • 3.3.5. Extrapolation
  • 3.3.6. Convergence
  • 3.3.7. Forecast Error Analysis
  • 3.3.8. Data Visualization
  • 3.3.9. Scenario Planning
  • 3.3.10. Sensitivity Analysis
• 3.4. Key Considerations
  • 3.4.1. Demographics
  • 3.4.2. Market Access
  • 3.4.3. Reimbursement Scenarios
  • 3.4.4. Industry Consolidation
• 3.5. Robust Quality Control
• 3.6. Key Market Segmentations
• 3.7. Limitations

4. MACRO-ECONOMIC INDICATORS

• 4.1. Chapter Overview
• 4.2. Market Dynamics
  • 4.2.1. Time Period
    • 4.2.1.1. Historical Trends
    • 4.2.1.2. Current and Forecasted Estimates
  • 4.2.2. Currency Coverage
    • 4.2.2.1. Overview of Major Currencies Affecting the Market
    • 4.2.2.2. Impact of Currency Fluctuations on the Industry
  • 4.2.3. Foreign Exchange Impact
    • 4.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
    • 4.2.3.2. Strategies for Mitigating Foreign Exchange Risk
  • 4.2.4. Recession
    • 4.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
    • 4.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
  • 4.2.5. Inflation
    • 4.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
    • 4.2.5.2. Potential Impact of Inflation on the Market Evolution
  • 4.2.6. Interest Rates
    • 4.2.6.1. Overview of Interest Rates and Their Impact on the Market
    • 4.2.6.2. Strategies for Managing Interest Rate Risk
  • 4.2.7. Commodity Flow Analysis
    • 4.2.7.1. Type of Commodity
    • 4.2.7.2. Origins and Destinations
    • 4.2.7.3. Values and Weights
    • 4.2.7.4. Modes of Transportation
  • 4.2.8. Global Trade Dynamics
    • 4.2.8.1. Import Scenario
    • 4.2.8.2. Export Scenario
  • 4.2.9. War Impact Analysis
    • 4.2.9.1. Russian-Ukraine War
    • 4.2.9.2. Israel-Hamas War
  • 4.2.10. COVID Impact / Related Factors
    • 4.2.10.1. Global Economic Impact
    • 4.2.10.2. Industry-specific Impact
    • 4.2.10.3. Government Response and Stimulus Measures
    • 4.2.10.4. Future Outlook and Adaptation Strategies
  • 4.2.11. Other Indicators
    • 4.2.11.1. Fiscal Policy
    • 4.2.11.2. Consumer Spending
    • 4.2.11.3. Gross Domestic Product (GDP)
    • 4.2.11.4. Employment
    • 4.2.11.5. Taxes
    • 4.2.11.6. R&D Innovation
    • 4.2.11.7. Stock Market Performance
    • 4.2.11.8. Supply Chain
    • 4.2.11.9. Cross-Border Dynamics

5. EXECUTIVE SUMMARY

6. INTRODUCTION

• 6.1. Chapter Overview
• 6.2. Overview of Digital Transformation Market
  • 6.2.1. Key Characteristics of Digital Transformation Market
  • 6.2.2. Type of Technology
  • 6.2.3. Type of Offering
  • 6.2.4. Type of Deployment
  • 6.2.5. Type of Application
  • 6.2.6. Company Size
  • 6.2.7. Type of Business Model
  • 6.2.8. Type of End User
• 6.3. Future Perspective

7. COMPETITIVE LANDSCAPE

• 7.1. Chapter Overview
• 7.2. Digital Transformation: Overall Market Landscape
  • 7.2.1. Analysis by Year of Establishment
  • 7.2.2. Analysis by Company Size
  • 7.2.3. Analysis by Location of Headquarters
  • 7.2.4. Analysis by Ownership Structure

8. COMPANY PROFILES

• 8.1. Chapter Overview
• 8.2. Alcor Solutions
  • 8.2.1. Company Overview
  • 8.2.2. Company Mission
  • 8.2.3. Company Footprint
  • 8.2.4. Management Team
  • 8.2.5. Contact Details
  • 8.2.6. Financial Performance
  • 8.2.7. Operating Business Segments
  • 8.2.8. Service / Product Portfolio (project specific)
  • 8.2.9. MOAT Analysis
  • 8.2.10. Recent Developments and Future Outlook
• Similar detail is presented for other below mentioned companies based on information in the public domain
• 8.3. Adobe
• 8.4. Accenture
• 8.5. Aexonic Technologies
• 8.6. Brillio
• 8.7. Broadcom
• 8.8. Cognizant
• 8.9. Equinix
• 8.10. Dell
• 8.11. eMudhra
• 8.12. Google
• 8.13. Happiest Minds
• 8.14. HCL Technologies
• 8.15. Marlabs
• 8.16. Microsoft
• 8.17. Oracle
• 8.18. Hewlett Packard Enterprise Development LP
• 8.19. Interfacing
• 8.20. IBM
• 8.21. Kissflow
• 8.22. SmartStream Technologies
• 8.23. Scoro Software
• 8.24. TIBCO Software
• 8.25. Yash Technologies

9. STARTUP ECOSYSTEM IN THE DIGITAL TRANSFORMATION MARKET

• 9.1. Digital Transformation Market: Market Landscape of Startups
  • 9.1.1. Analysis by Year of Establishment
  • 9.1.2. Analysis by Company Size
  • 9.1.3. Analysis by Company Size and Year of Establishment
  • 9.1.4. Analysis by Location of Headquarters
  • 9.1.5. Analysis by Company Size and Location of Headquarters
  • 9.1.6. Analysis by Ownership Structure
• 9.2. Key Findings

10. VALUE CHAIN ANALYSIS

11. SWOT ANALYSIS

12. GLOBAL DIGITAL TRANSFORMATION MARKET

• 12.1. Chapter Overview
• 12.2. Key Assumptions and Methodology
• 12.3. Trends Disruption Impacting Market
• 12.4. Global Digital Transformation Market, Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 12.5. Multivariate Scenario Analysis
  • 12.5.1. Conservative Scenario
  • 12.5.2. Optimistic Scenario
• 12.6. Key Market Segmentations

13. MARKET OPPORTUNITIES BASED ON TYPE OF TECHNOLOGY

• 13.1. Chapter Overview
• 13.2. Key Assumptions and Methodology
• 13.3. Revenue Shift Analysis
• 13.4. Market Movement Analysis
• 13.5. Penetration-Growth (P-G) Matrix
• 13.6. Digital Transformation Market for Cloud Computing Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.7. Digital Transformation Market for Big Data and Analytics : Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.8. Digital Transformation Market for Cybersecurity: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.9. Digital Transformation Market for Artificial Intelligence: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.10. Digital Transformation Market for Internet of Things: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.11. Digital Transformation Market for Business Intelligence: Historical Trends (Since 2019) and Forecasted Estimated (Till 2035)
• 13.12. Digital Transformation Market for Blockchain Technology: Historical Trends (Since 2019) and Forecasted Estimated (Till 2035)
• 13.13. Data Triangulation and Validation

14. MARKET OPPORTUNITIES BASED ON TYPE OF OFFERING

• 14.1. Chapter Overview
• 14.2. Key Assumptions and Methodology
• 14.3. Revenue Shift Analysis
• 14.4. Market Movement Analysis
• 14.5. Penetration-Growth (P-G) Matrix
• 14.6. Digital Transformation Market for Solutions: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 14.7. Digital Transformation Market for Services: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 14.8. Data Triangulation and Validation

15. MARKET OPPORTUNITIES BASED ON TYPE OF DEPLOYMENT

• 15.1. Chapter Overview
• 15.2. Key Assumptions and Methodology
• 15.3. Revenue Shift Analysis
• 15.4. Market Movement Analysis
• 15.5. Penetration-Growth (P-G) Matrix
• 15.6. Digital Transformation Market for Hosted: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.7. Digital Transformation Market for On-Premise: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.8. Data Triangulation and Validation

16. MARKET OPPORTUNITIES BASED ON TYPE OF APPLICATION

• 16.1. Chapter Overview
• 16.2. Key Assumptions and Methodology
• 16.3. Revenue Shift Analysis
• 16.4. Market Movement Analysis
• 16.5. Penetration-Growth (P-G) Matrix
• 16.6. Digital Transformation Market for Accounting: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.7. Digital Transformation Market for Finance Management: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.8. Digital Transformation Market for IT Operations: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.9. Digital Transformation Market for Supply Chain Management: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.10. Digital Transformation Market for HR Services: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.11. Data Triangulation and Validation

17. MARKET OPPORTUNITIES BASED ON TYPE OF END USER

• 17.1. Chapter Overview
• 17.2. Key Assumptions and Methodology
• 17.3. Revenue Shift Analysis
• 17.4. Market Movement Analysis
• 17.5. Penetration-Growth (P-G) Matrix
• 17.6. Digital Transformation Market for Banking, Financial Services and Insurance: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 17.7. Digital Transformation Market for Manufacturing: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 17.8. Digital Transformation Market for IT and Telecommunications: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 17.9. Digital Transformation Market for Retail and Consumer Goods: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 17.10. Digital Transformation Market for Healthcare: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 17.11. Digital Transformation Market for Transportation and Logistics: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 17.12. Digital Transformation Market for Government and Other: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 17.13. Data Triangulation and Validation

18. MARKET OPPORTUNITIES BASED ON COMPANY SIZE

• 18.1. Chapter Overview
• 18.2. Key Assumptions and Methodology
• 18.3. Revenue Shift Analysis
• 18.4. Market Movement Analysis
• 18.5. Penetration-Growth (P-G) Matrix
• 18.6. Digital Transformation Market for Large Enterprises: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 18.7. Digital Transformation Market for Small and Medium-sized Enterprises (SMEs): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 18.8. Data Triangulation and Validation

19. MARKET OPPORTUNITIES BASED ON BUSINESS MODEL

• 19.1. Chapter Overview
• 19.2. Key Assumptions and Methodology
• 19.3. Revenue Shift Analysis
• 19.4. Market Movement Analysis
• 19.5. Penetration-Growth (P-G) Matrix
• 19.6. Digital Transformation Market for B2B: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 19.7. Digital Transformation Market for B2C: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 19.8. Digital Transformation Market for B2B2C: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 19.9. Data Triangulation and Validation

20. MARKET OPPORTUNITIES FOR DIGITAL TRANSFORMATION IN NORTH AMERICA

• 20.1. Chapter Overview
• 20.2. Key Assumptions and Methodology
• 20.3. Revenue Shift Analysis
• 20.4. Market Movement Analysis
• 20.5. Penetration-Growth (P-G) Matrix
• 20.6. Digital Transformation Market in North America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.1. Digital Transformation Market in the US: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.2. Digital Transformation Market in Canada: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.3. Digital Transformation Market in Mexico: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.4. Digital Transformation Market in Other North American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 20.7. Data Triangulation and Validation

21. MARKET OPPORTUNITIES FOR DIGITAL TRANSFORMATION IN EUROPE

• 21.1. Chapter Overview
• 21.2. Key Assumptions and Methodology
• 21.3. Revenue Shift Analysis
• 21.4. Market Movement Analysis
• 21.5. Penetration-Growth (P-G) Matrix
• 21.6. Digital Transformation Market in Europe: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.1. Digital Transformation Market in the Austria: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.2. Digital Transformation Market in Belgium: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.3. Digital Transformation Market in Denmark: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.4. Digital Transformation Market in France: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.5. Digital Transformation Market in Germany: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.6. Digital Transformation Market in Ireland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.7. Digital Transformation Market in Italy: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.8. Digital Transformation Market in Netherlands: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.9. Digital Transformation Market in Norway: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.10. Digital Transformation Market in Russia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.11. Digital Transformation Market in Spain: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.12. Digital Transformation Market in Sweden: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.13. Digital Transformation Market in Switzerland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.14. Digital Transformation Market in the UK: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.15. Digital Transformation Market in Other European Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 21.7. Data Triangulation and Validation

22. MARKET OPPORTUNITIES FOR DIGITAL TRANSFORMATION IN ASIA

• 22.1. Chapter Overview
• 22.2. Key Assumptions and Methodology
• 22.3. Revenue Shift Analysis
• 22.4. Market Movement Analysis
• 22.5. Penetration-Growth (P-G) Matrix
• 22.6. Digital Transformation Market in Asia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.1. Digital Transformation Market in China: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.2. Digital Transformation Market in India: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.3. Digital Transformation Market in Japan: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.4. Digital Transformation Market in Singapore: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.5. Digital Transformation Market in South Korea: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.6. Digital Transformation Market in Other Asian Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 22.7. Data Triangulation and Validation

23. MARKET OPPORTUNITIES FOR DIGITAL TRANSFORMATION IN MIDDLE EAST AND NORTH AFRICA (MENA)

• 23.1. Chapter Overview
• 23.2. Key Assumptions and Methodology
• 23.3. Revenue Shift Analysis
• 23.4. Market Movement Analysis
• 23.5. Penetration-Growth (P-G) Matrix
• 23.6. Digital Transformation Market in Middle East and North Africa (MENA): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.1. Digital Transformation Market in Egypt: Historical Trends (Since 2019) and Forecasted Estimates (Till 205)
  • 23.6.2. Digital Transformation Market in Iran: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.3. Digital Transformation Market in Iraq: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.4. Digital Transformation Market in Israel: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.5. Digital Transformation Market in Kuwait: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.6. Digital Transformation Market in Saudi Arabia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.7. Digital Transformation Market in United Arab Emirates (UAE): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.8. Digital Transformation Market in Other MENA Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 23.7. Data Triangulation and Validation

24. MARKET OPPORTUNITIES FOR DIGITAL TRANSFORMATION IN LATIN AMERICA

• 24.1. Chapter Overview
• 24.2. Key Assumptions and Methodology
• 24.3. Revenue Shift Analysis
• 24.4. Market Movement Analysis
• 24.5. Penetration-Growth (P-G) Matrix
• 24.6. Digital Transformation Market in Latin America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.1. Digital Transformation Market in Argentina: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.2. Digital Transformation Market in Brazil: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.3. Digital Transformation Market in Chile: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.4. Digital Transformation Market in Colombia Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.5. Digital Transformation Market in Venezuela: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.6. Digital Transformation Market in Other Latin American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 24.7. Data Triangulation and Validation

25. MARKET OPPORTUNITIES FOR DIGITAL TRANSFROMATION IN REST OF THE WORLD

• 25.1. Chapter Overview
• 25.2. Key Assumptions and Methodology
• 25.3. Revenue Shift Analysis
• 25.4. Market Movement Analysis
• 25.5. Penetration-Growth (P-G) Matrix
• 25.6. Digital Transformation Market in Rest of the World: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 25.6.1. Digital Transformation Market in Australia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 25.6.2. Digital Transformation Market in New Zealand: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 25.6.3. Digital Transformation Market in Other Countries
• 25.7. Data Triangulation and Validation

26 TABULATED DATA

27 LIST OF COMPANIES AND ORGANIZATIONS

28 CUSTOMIZATION OPPORTUNITIES

29 ROOTS SUBSCRIPTION SERVICES

30 AUTHOR DETAIL

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