동남아시아(SEA)의 디지털 전환 : 시장 점유율 분석, 산업 동향, 성장 예측(2024-2029년)

The SEA Digital Transformation Market size is estimated at USD 53.96 billion in 2024, and is expected to reach USD 131.49 billion by 2029, growing at a CAGR of 19.51% during the forecast period (2024-2029).

The Southeast Asia (SEA) digital transformation market is experiencing robust growth driven by rapid technological adoption, increasing internet penetration, and supportive government policies.

Key Highlights

• Technological advancements, notably in AI, ML, IoT, and cloud computing, are driving digital transformations across diverse sectors. These innovations empower businesses to streamline operations, elevate customer interactions, and innovate business models.
• In Southeast Asia (SEA), robust internet and mobile penetration rates are catalyzing digital engagement and the uptake of digital services. This heightened connectivity is fueling the growth of e-commerce, digital payments, and online services, thereby expediting the region's digital evolution.
• SEA governments are rolling out policies and initiatives to champion digitalization and foster smart cities. Notable programs like Thailand 4.0, Malaysia's Digital Economy Blueprint, and Singapore's Smart Nation initiative are instrumental in cultivating a digital-friendly landscape.
• The banking and financial services realm is harnessing digital tools to revamp customer experiences through digital banking, fintech solutions, or blockchain. This digital pivot is streamlining operations, enhancing customer service, and introducing novel financial offerings.
• However, as digitalization intensifies, the specter of cybersecurity threats and data breaches looms larger. These risks not only jeopardize trust in digital services but also pose a hindrance to businesses fully embracing the digital shift.

SEA Digital Transformation Market Trends

Increase in the Adoption of Big Data Analytics and Other Technologies to Drive the Market

• AI and ML are revolutionizing industries by automating tasks, boosting efficiency, and cutting operational costs. This shift allows human resources to concentrate on strategic endeavors. AI's predictive maintenance and quality control are pivotal in reducing downtime and defects in manufacturing.
• Companies are leveraging AI and ML for personalized customer experiences, fostering loyalty and satisfaction. E-commerce, for instance, tailors product suggestions based on browsing history and preferences.
• For instance, Malaysia is experiencing a significant uptick in investor interest, spanning sectors from real estate to banking, all thanks to the AI boom. The country's surge of data center projects underscores a tech-driven economic surge and hints at a ripple effect across related industries. Although 2024 saw a net outflow of USD 150 million, foreign investors are showing a steady return of confidence, painting an optimistic picture for Malaysian equities in the long run.
• Integrating AI and Big Data Analytics into smart city projects enhances urban management and elevates the quality of life. These technologies facilitate efficient resource allocation, optimize traffic flow, and bolster public services. Singapore's Smart Nation initiative exemplifies this, leveraging IoT and AI for more effective urban infrastructure and service management.
• The internet plays an important role in developing and applying these technologies. Singapore has one of the world's best and most connected internet services. For instance, as of November 2023, Singtel provided the best 5G coverage experience across Singapore, with a score of 8.3, followed by StarHub and M1. According to the source, Simba had the lowest 5G coverage experience rating, with a score of 6.2. At the beginning of 2023, Singapore had an average peak download speed of over 700 Mbps on its 5G networks. In addition to providing quality 5G connectivity, Singtel has proven itself in 2023 to be one of the leading providers of 5G gaming experiences.

Analytics, Artificial Intelligence, and Machine Learning is Expected to Drive the Market

• Organizations are harnessing advanced analytics to sift through extensive data, empowering them to make well-informed decisions. This, in turn, boosts operational efficiency, refines strategic planning, and deepens customer understanding. Notably, in retail, predictive analytics are pivotal, aiding in demand projections, inventory optimization, and tailored marketing approaches.
• For instance, in May 2024 - Singapore unveiled the Digital Enterprise Blueprint (DEB), a fresh initiative aimed at bolstering the digital transformation of small and medium-sized enterprises (SMEs) through the adoption of AI technologies. The DEB is a collaborative effort between the Ministry of Communications and Information (MCI), the Infocomm Media Development Authority (IMDA), and the Cyber Security Agency of Singapore in partnership with key industry players.
• AI and ML are revolutionizing industries by automating tasks and boosting efficiency. Their integration minimizes errors, slashes labor expenses, and liberates human capital for higher-level responsibilities. In manufacturing, AI-driven robots and automated quality checks are optimizing production, and in customer service, AI chatbots are enhancing response times and satisfaction by managing routine queries.
• Countries like Singapore are witnessing rapid investment in AI technology-based businesses. For instance, by June 2024, Trax Technology Solutions Pte. Ltd held the top spot among Singapore's AI startups, boasting a capital investment exceeding USD 1.07 billion. Notably, Singapore's AI venture capital investment hit its zenith in 2021, surging to USD 2.5 billion.
• AI, ML, and IoT technologies are increasingly being integrated into smart city initiatives, elevating urban living standards. These solutions streamline traffic, energy use, and public services, ultimately enriching residents' quality of life. Take Singapore's Smart Nation initiative, for example, where AI and IoT are pivotal in efficiently overseeing urban infrastructure, leading to notable enhancements in transportation and public safety services.

SEA Digital Transformation Industry Overview

The SEA Digital Transformation Industry market is fragmented, with the presence of major players and numerous regional companies. Key players in the market are adopting strategies such as partnerships, agreements, innovations, and acquisitions to enhance their service offerings and gain a sustainable competitive advantage.

• June 2024: ByteDance, the Chinese tech giant behind TikTok, earmarked approximately CNY 10 billion (USD 2.13 billion) to establish an artificial intelligence hub in Malaysia. This move is in line with a trend of major tech players venturing into Southeast Asia. Additionally, ByteDance is bolstering its data center presence in Malaysia's Johor state, injecting an extra CNY 1.5 billion into the expansion, as confirmed by Malaysia's Ministry of Investment, Trade, and Industry.
• April 2024: Myanmar's premier privately-owned bank, KBZ Bank, forged a strategic alliance with FinbotsAI, a Singaporean AI credit scoring company. This collaboration aims to enhance KBZ Bank's credit risk management. Under this partnership, KBZ Bank will integrate FinbotsAI's cutting-edge credit modeling platform, CreditX, to evaluate the creditworthiness of its retail and SME applicants with heightened precision and speed.

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 Definitions
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 INDUSTRY ECOSYSTEM ANALYSIS

5 MARKET DYNAMICS

• 5.1 Market Drivers
  • 5.1.1 Increase in the Adoption of Big Data Analytics and Other Technologies to Drive the Market
  • 5.1.2 The Rapid Proliferation of Mobile Devices and Apps
• 5.2 Market Restraints
  • 5.2.1 Concerns About the Privacy and Security of Information

6 CURRENT MARKET SCENARIO AND EVOLUTION OF DIGITAL TRANSFORMATION PRACTICES

7 KEY METRICS

• 7.1 Technology Spending Trends
• 7.2 Number of IoT Devices
• 7.3 Total Cyberattacks
• 7.4 Technology Staffing Trends
• 7.5 Internet growth and penetration in individual countries
• 7.6 Digital Competitiveness Ranking
• 7.7 Fixed and mobile broadband coverage
• 7.8 Cloud adoption
• 7.9 AI adoption
• 7.10 E-commerce Penetration

8 MARKET SEGMENTATION

• 8.1 By Type
  • 8.1.1 Analytics, 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 Use Case Analysis
    • 8.1.1.4 Market Outlook
  • 8.1.2 Extended Reality (XR)
    • 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 Use Case Analysis
    • 8.1.2.4 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 Use Case Analysis
    • 8.1.3.4 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 Use Case Analysis
    • 8.1.4.4 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 Outlook
  • 8.1.6 Additive Manufacturing/3D Printing
    • 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 Use Case Analysis
    • 8.1.6.4 Market Outlook
  • 8.1.7 Cybersecurity
    • 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 Use Case Analysis
    • 8.1.7.4 Market Outlook
  • 8.1.8 Cloud and Edge Computing
    • 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 Use Case Analysis
    • 8.1.8.4 Market Outlook
  • 8.1.9 Others (Digital Twin, Mobility, and Connectivity)
    • 8.1.9.1 Key Growth Influencers (Drivers, Challenges, and Opportunities)
    • 8.1.9.2 Market Breakdown by Type (Digital Twin, Mobility and Connectivity)
    • 8.1.9.3 Use Case Analysis
    • 8.1.9.4 Market Outlook
• 8.2 By End-user Industry
  • 8.2.1 Manufacturing
  • 8.2.2 Oil, Gas, and Utilities
  • 8.2.3 Retail & e-commerce
  • 8.2.4 Transportation and Logistics
  • 8.2.5 Healthcare
  • 8.2.6 BFSI
  • 8.2.7 Telecom and IT
  • 8.2.8 Government and Public Sector
  • 8.2.9 Other End-user Industries (Education, Media & Entertainment, Environment etc)

9 COMPETITIVE LANDSCAPE

• 9.1 Company Profiles
  • 9.1.1 Accenture PLC
  • 9.1.2 Google LLC (Alphabet Inc.)
  • 9.1.3 Siemens AG
  • 9.1.4 IBM Corporation
  • 9.1.5 Microsoft Corporation
  • 9.1.6 Cognex Corporation
  • 9.1.7 Hewlett Packard Enterprise
  • 9.1.8 SAP SE
  • 9.1.9 EMC Corporation (Dell EMC)
  • 9.1.10 Oracle Corporation
  • 9.1.11 Adobe Inc.
  • 9.1.12 Amazon Web Services Inc. (Amazon.com Inc.)
  • 9.1.13 Apple Inc.
  • 9.1.14 Salesforce.com Inc.
  • 9.1.15 Cisco Systems Inc.

10 KEY TRANSFORMATIVE TECHNOLOGIES

• 10.1 Quantum Computing
• 10.2 Manufacturing as a Service (MaaS)
• 10.3 Cognitive Process Automation
• 10.4 Nanotechnology

11 MARKET OPPORTUNITIES AND FUTURE TRENDS