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市场调查报告书
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数位转型市场 (～2035年):技术类型·提供区分·展开·用途·企业规模·经营模式·终端用户·各地区的产业趋势与全球预测

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.
出版日期: | 出版商: Roots Analysis | 英文 178 Pages | 商品交期: 2-10个工作天内

价格
简介目录

预计到 2035 年，全球数位转型市场规模将从目前的 14,222.3 亿美元增长至 132,631.7 亿美元，预测期内复合年增长率为 22.50%。

Digital Transformation Market-IMG1

数位转型的市场机会:各市场区隔

各技术类型

  • 云端运算
  • 巨量资料和分析
  • 网路安全
  • AI
  • IoT
  • 商业智慧
  • 区块链

各类服务

  • 服务
  • 解决方案

各部署类型

  • 主人型
  • 内部部署型

各用途

  • 会计
  • 财务管理
  • IT营运
  • 供应链管理
  • 人事服务

不同企业规模

  • 大企业
  • 中小企业

不同商业模式

  • B2B
  • B2C
  • B2B2C

各终端用户

  • 银行·金融服务·保险(BFSI)
  • 製造
  • IT·通讯
  • 零售·消费品
  • 医疗保健
  • 运输
  • 物流
  • 政府机关
  • 其他

各地区

  • 北美
  • 美国
  • 加拿大
  • 墨西哥
  • 其他的北美各国
  • 欧洲
  • 奥地利
  • 比利时
  • 丹麦
  • 法国
  • 德国
  • 爱尔兰
  • 义大利
  • 荷兰
  • 挪威
  • 俄罗斯
  • 西班牙
  • 瑞典
  • 瑞士
  • 英国
  • 其他欧洲各国
  • 亚洲
  • 中国
  • 印度
  • 日本
  • 新加坡
  • 韩国
  • 其他亚洲各国
  • 南美
  • 巴西
  • 智利
  • 哥伦比亚
  • 委内瑞拉
  • 其他的南美各国
  • 中东·北非
  • 埃及
  • 伊朗
  • 伊拉克
  • 以色列
  • 科威特
  • 沙乌地阿拉伯
  • UAE
  • 其他的中东·北非各国
  • 全球其他地区
  • 澳洲
  • 纽西兰
  • 其他的国家

数位转型市场：成长与趋势

随着科技的快速发展，数位化工具和创新已成为商业世界中不可或缺的一部分，有助于加快决策速度并消除区域限制。数位转型主要涉及采用云端运算、大数据分析、人工智慧和物联网 (IoT) 等数位化解决方案，以提高沟通速度并改善客户体验。这些数位转型工具使企业能够即时从各种来源收集数据，从而帮助企业做出更准确的业务决策。例如，在金融领域，这些数位创新允许远端存取系统，使员工能够在传统办公环境之外工作。在製药领域，机器学习、大数据分析、人工智慧和数位孪生技术等尖端技术工具对于药物开发相关的即时数据收集至关重要。

由于技术的快速发展，数位工具和创新已成为商业世界中不可或缺的一部分，它们能够加快决策速度并消除地理限制。数位转型主要旨在透过整合云端运算、大数据分析、人工智慧和物联网等数位解决方案来加快沟通速度并改善客户体验。透过利用这些数位转型工具，企业可以从各种来源即时收集数据，并做出更准确的业务决策。例如，在金融领域，这些数位技术允许远端存取系统，使员工无需在传统办公室工作即可工作。此外，在製药领域，机器学习、大数据分析、人工智慧和数位孪生技术等尖端技术在药物开发相关的即时数据收集中发挥着重要作用。

随着各行各业对数位技术的持续应用，数位转型市场预计将继续保持强劲成长。为了满足日益增长的数位转型解决方案和技术需求，行业利益相关者正在采取策略性举措，建立以客户为中心的服务和自助式数位解决方案入口网站。亚马逊、谷歌和微软等知名公司正携手合作，以增强其云端解决方案和预测分析工具。

本报告提供全球数位转型的市场调查、彙整市场概要，背景，市场影响因素的分析，市场规模的转变·预测，各种区分·各地区的详细分析，竞争情形，主要企业简介等资讯。

目录

第1章 序文

第2章 调查手法

第3章 经济以及其他的计划特有的考虑事项

第4章 宏观经济指标

第5章 摘要整理

第6章 简介

第7章 竞争情形

第8章 企业简介

  • 章概要
  • 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

第9章 数位转型市场上Start-Ups生态系统

第10章 价值链分析

第11章 SWOT分析

第12章 全球数位转型市场

第13章 各技术类型的市场机会

第14章 各提供种类的市场机会

第15章 各部署的市场机会

第16章 各用途的市场机会

第17章 各终端用户的市场机会

第18章 不同企业规模的市场机会

第19章 不同商业模式的市场机会

第20章 北美数位变革的市场机会

第21章 欧洲的数位变革的市场机会

第22章 亚洲的数位变革的市场机会

第23章 中东·北非的数位变革的市场机会

第24章 南美的数位变革的市场机会

第25章 全球其他地区的数位变革的市场机会

第26章 表格形式资料

第27章 企业·团体一览

第28章 客制化的机会

第29章 ROOTS订阅服务

第30章 着者详细内容

简介目录
Product Code: RAICT300134

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.

Digital Transformation Market - IMG1

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.

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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