빅데이터 기술 시장 예측(-2030년) : 솔루션별, 서비스별, 전개별, 조직 규모별, 용도별, 최종사용자별, 지역별 세계 분석

According to Stratistics MRC, the Global Big Data Technology Market is accounted for $357.2 billion in 2023 and is expected to reach $985 billion by 2030 growing at a CAGR of 15.6% during the forecast period. Big Data Technology refers to a set of tools, techniques, and technologies designed to process, analyze, and extract valuable insights from large and complex datasets that traditional data processing systems cannot handle efficiently. Big Data enables organizations to create personalized experiences for customers by analyzing their preferences and behaviours. This results in more effective targeted marketing campaigns and higher customer engagement.

According to the Worldwide Big Data and Analytics Spending Guide published in 2022, the spending on big data technology will rise by 1.6 times by 2025.

Market Dynamics:

Driver:

Digital transformation

As organizations strive to stay competitive and relevant in the digital era, they are increasingly embracing big data technologies to harness the immense potential of data. Big Data technologies enable organizations to capture, process, and analyze vast amounts of data from diverse sources, empowering them to derive actionable insights. Moreover, big data facilitates the development of data-driven business models, opening avenues for new revenue streams and improved efficiency. As a result, digital transformation is a significant factor propelling market demand.

Restraint:

Data security and privacy concerns

The massive volume and diverse sources of data collected and analyzed expose organizations to potential security breaches and unauthorized access. As big data applications involve the processing of sensitive information, there is a heightened risk of privacy violations, leading to legal and reputational repercussions. However, compliance with data protection regulations, such as GDPR and CCPA, adds complexity to the challenge. Therefore, data security and privacy concerns pose a critical restraint hampering market expansion.

Opportunity:

Technological advancements

Continuous innovation in computing power, storage capabilities, and networking infrastructure contributes to the scalability and efficiency of big data solutions. The integration of artificial intelligence (AI) and machine learning (ML) algorithms enhances data analytics, enabling more sophisticated pattern recognition and predictive modeling. Moreover, the development of advanced data processing frameworks, such as Apache Hadoop and Apache Spark, further accelerates the analysis of large datasets.

Threat:

Lack of skilled workforce

The rapid evolution of big data technologies has outpaced the availability of professionals with the requisite expertise. The demand for data scientists, analysts, and engineers proficient in handling large datasets and implementing advanced analytics is consistently high. However, a shortage impedes the effective adoption and utilization of big data solutions across industries. Moreover, small and medium-sized enterprises may find it challenging to attract and retain skilled personnel due to competition and resource constraints.

Covid-19 Impact

The COVID-19 pandemic had a significant impact on the big data technology market. With the sudden surge in remote work, e-commerce, and digital interactions, organizations increasingly rely on big data analytics to navigate the evolving landscape. The demand for real-time data insights surged, driving the adoption of big data technologies for agile decision-making and crisis management. Moreover, economic uncertainties during the pandemic led some businesses to reassess their technology budgets, impacting investment plans in big data projects.

The big data analytics segment is expected to be the largest during the forecast period

The big data analytics segment is estimated to hold the largest share. Big Data Analytics empowers businesses to make informed decisions, optimize processes, and gain a competitive edge in a modern data-driven environment. This process encompasses various methodologies, including machine learning, predictive analytics, and data mining, enabling organizations to derive actionable insights from their data. As businesses continue to grapple with ever-expanding datasets, the demand for proficient big data analytics solutions remains high.

The BFSI segment is expected to have the highest CAGR during the forecast period

The BFSI segment is anticipated to have lucrative growth during the forecast period. Big data analytics in BFSI involves processing and analyzing large datasets to derive insights related to customer behavior, fraud detection, and market trends. Predictive analytics plays a crucial role in assessing credit risk, identifying potential fraud, and optimizing investment portfolios. Moreover, real-time analytics aids in monitoring financial transactions for suspicious activities and ensuring regulatory compliance. As the BFSI sector continues to navigate a complex and dynamic landscape, the integration of big data technologies becomes essential.

Region with largest share:

North America commanded the largest market share during the extrapolated period. The region's well-established technological infrastructure, extensive investment capabilities, and mature business ecosystem contribute to its dominance. The region benefits from a skilled workforce including data scientists and engineers, driving continuous development in analytics, machine learning, and artificial intelligence. Moreover, the region's strategic position and commitment to technological advancements position it as a key player, shaping the trajectory of the big data technology market on a global scale.

Region with highest CAGR:

Asia Pacific is expected to witness profitable growth over the projection period. Increasing digitization, a burgeoning population, and a rising middle class contribute to a substantial data generation ecosystem, providing ample opportunities for big data applications. Furthermore, governments in the region are actively promoting digital transformation, smart city initiatives, and Industry 4.0, driving the demand for advanced analytics and data-driven decision-making.

Key players in the market

Some of the key players in the Big Data Technology Market include Oracle Corporation, Cisco Systems, Inc., Microsoft Corporation, Hitachi Limited, IBM Corporation, Teradata Corporation, SAP SE, Fujitsu Limited, Dell Technologies, Inc., Amazon Web Services, Google Analytics, Accenture and Informatica.

Key Developments:

In January 2024, Fujitsu and Delft University of Technology announced the establishment of the Fujitsu Advanced Computing Lab Delft at Delft University of Technology, an industry-academia collaboration hub dedicated to the development of quantum computing technologies.

In September 2023, Oracle Corporation and Microsoft expand partnership to deliver Oracle Database Services on Oracle Cloud Infrastructure in Microsoft Azure datacenters.

In September 2023, Oracle and Informatica an enterprise cloud data management leader, have advanced their strategic partnership with the creation of an Oracle Cloud Infrastructure (OCI) point of delivery to thousands of joint customers across North America.

In May 2023, Fujitsu Limited and Microsoft Corporation announced a five-year strategic partnership to significantly expand their existing collaboration.

In April 2023, Dell Technologies collaborates with Ericsson to deliver added resilience and interconnectivity to aid communications service providers in their Cloud RAN journey

Solutions Covered:

• Data Discovery
• Big Data Analytics
• Data Management
• Big Data Visualization

Services Covered:

• Professional Services
• Managed Services

Deployments Covered:

• On-premises
• Cloud
• Hybrid

Organisation Sizes Covered:

• Small and Medium Size Enterprises
• Large Enterprises

Applications Covered:

• Operational Analytics
• Customer Analytics
• Fraud Detection and Compliance
• Enterprise Data Warehouse Optimisation

End Users Covered:

• IT and Telecom
• Healthcare
• BFSI
• Retail
• Education
• Other End Users

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 Application Analysis
• 3.7 End User Analysis
• 3.8 Emerging Markets
• 3.9 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Big Data Technology Market, By Solution

• 5.1 Introduction
• 5.2 Data Discovery
• 5.3 Big Data Analytics
• 5.4 Data Management
• 5.5 Big Data Visualization

6 Global Big Data Technology Market, By Service

• 6.1 Introduction
• 6.2 Professional Services
• 6.3 Managed Services

7 Global Big Data Technology Market, By Deployment

• 7.1 Introduction
• 7.2 On-premises
• 7.3 Cloud
• 7.4 Hybrid

8 Global Big Data Technology Market, By Organisation Size

• 8.1 Introduction
• 8.2 Small and Medium Size Enterprises
• 8.3 Large Enterprises

9 Global Big Data Technology Market, By Application

• 9.1 Introduction
• 9.2 Operational Analytics
• 9.3 Customer Analytics
• 9.4 Fraud Detection and Compliance
• 9.5 Enterprise Data Warehouse Optimisation

10 Global Big Data Technology Market, By End User

• 10.1 Introduction
• 10.2 IT and Telecom
• 10.3 Healthcare
• 10.4 BFSI
• 10.5 Retail
• 10.6 Education
• 10.7 Other End Users

11 Global Big Data Technology Market, By Geography

• 11.1 Introduction
• 11.2 North America
  • 11.2.1 US
  • 11.2.2 Canada
  • 11.2.3 Mexico
• 11.3 Europe
  • 11.3.1 Germany
  • 11.3.2 UK
  • 11.3.3 Italy
  • 11.3.4 France
  • 11.3.5 Spain
  • 11.3.6 Rest of Europe
• 11.4 Asia Pacific
  • 11.4.1 Japan
  • 11.4.2 China
  • 11.4.3 India
  • 11.4.4 Australia
  • 11.4.5 New Zealand
  • 11.4.6 South Korea
  • 11.4.7 Rest of Asia Pacific
• 11.5 South America
  • 11.5.1 Argentina
  • 11.5.2 Brazil
  • 11.5.3 Chile
  • 11.5.4 Rest of South America
• 11.6 Middle East & Africa
  • 11.6.1 Saudi Arabia
  • 11.6.2 UAE
  • 11.6.3 Qatar
  • 11.6.4 South Africa
  • 11.6.5 Rest of Middle East & Africa

12 Key Developments

• 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 12.2 Acquisitions & Mergers
• 12.3 New Product Launch
• 12.4 Expansions
• 12.5 Other Key Strategies

13 Company Profiling

• 13.1 Oracle Corporation
• 13.2 Cisco Systems, Inc.
• 13.3 Microsoft Corporation
• 13.4 Hitachi Limited
• 13.5 IBM Corporation
• 13.6 Teradata Corporation
• 13.7 SAP SE
• 13.8 Fujitsu Limited
• 13.9 Dell Technologies, Inc.
• 13.10 Amazon Web Services
• 13.11 Google Analytics
• 13.12 Accenture
• 13.13 Informatica