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세계의 빅데이터 SaaS 시장 보고서(2025년)
Big Data Software As A Service Global Market Report 2025
상품코드 : 1872816
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

빅데이터 SaaS 시장 규모는 최근 급속히 확대되고 있습니다. 2024년 192억 달러로 평가되었고, 2025년에는 227억 8,000만 달러에 달할 것으로 추정되며, CAGR 18.6%로 성장이 전망되고 있습니다. 이러한 성장은 클라우드 컴퓨팅의 보급 확대, 기업의 데이터 분석 수요 증가, 대량 데이터를 생성하는 IoT 디바이스의 보급, IT 인프라에 대한 투자 증가, 비즈니스 인텔리전스 솔루션에 대한 선행 수요 등의 요인으로 인한 것으로 예측됩니다.

빅데이터 SaaS 시장 규모는 향후 수년간 급속한 성장이 예상됩니다. 2029년에는 445억 5,000만 달러에 달할 것으로 예측되며, CAGR 18.3%로 성장할 전망입니다. 예측 기간의 성장은 인공지능 및 머신러닝 통합에 대한 집중력 강화, 실시간 데이터 처리의 중요성 증가, 엣지 컴퓨팅 확대, 규제 준수 및 데이터 거버넌스 요구사항 증가, 확장 가능하고 유연한 SaaS 플랫폼에 대한 수요 증가로 이어질 것으로 예측됩니다. 예측 기간 주요 동향으로는 예측 분석을 위한 AI 및 머신러닝 통합, 실시간 데이터 처리 및 스트리밍 기능, 향상된 데이터 보안 및 프라이버시 기능, 서버리스 및 멀티클라우드 전개 모델, 간소화된 데이터 관리 및 인사이트 생성을 위한 로우코드 및 노코드 플랫폼이 있습니다.

클라우드 기반 솔루션의 도입 확대는 향후 수년간 빅데이터 SaaS 시장의 성장을 이끌 것으로 예측됩니다. 클라우드 기반 솔루션은 인터넷을 통해 제공되는 서비스 및 애플리케이션으로 유연한 액세스, 확장 가능한 리소스, 데이터 및 소프트웨어의 원격 관리를 제공합니다. 물리적 하드웨어에 의존하지 않고도 데이터 및 애플리케이션에 안전하게 원격 액세스할 수 있도록 하고 원활한 협업을 촉진하기 때문에 클라우드 기반 솔루션에 대한 수요가 증가하고 있습니다. 빅데이터 SaaS는 온프레미스 인프라 없이 대규모 데이터세트의 분석 및 시각화를 가능하게 하여 클라우드 솔루션을 강화합니다. 이를 통해 실시간 인사이트 및 확장 가능한 스토리지를 제공하여 팀 간의 협업을 촉진합니다. 예를 들어 미국 기반 클라우드 컴퓨팅 서비스인 Google Cloud는 여러 퍼블릭 클라우드 사용률이 2021년 21%에서 2022년 26%로 증가했다고 보고합니다. 또한 하이브리드 클라우드 이용률도 2021년 25%에서 2022년 42.5%로 급증했습니다. 따라서 클라우드 기반 솔루션의 채택 확대는 빅데이터 SaaS 시장의 성장을 이끌고 있습니다.

빅데이터 SaaS 시장의 기업은 엔드 투 엔드 인터랙티브 플랫폼을 포함한 고급 솔루션 개발에 주력하고 있습니다. 이를 통해 실시간 데이터 분석을 가능하게 하고 비즈니스 의사결정을 개선할 수 있는 실용적인 지식을 생성합니다. 엔드 투 엔드 인터랙티브 플랫폼은 여러 툴과 언어를 단일 공동 작업 인터페이스에 통합하여 워크플로우를 효율화하면서 사용자가 데이터 탐색, 코딩, 시각화 및 모델 배포를 원활하게 관리할 수 있는 통합 환경입니다. 예를 들어, 2024년 6월에는 미국을 기반으로 하는 클라우드 기반 데이터 스토리지 기업인 Snowflake Inc.가 데이터 및 AI 팀을 위해 자체 플랫폼에 통합된 엔드 투 엔드 인터랙티브 환경 'Snowflake Notebooks'를 출시했습니다. 이 셀 기반 인터페이스는 Python, SQL 및 Markdown을 결합하여 사용자가 Snowflake의 안전하고 확장 가능한 아키텍처 내에서 데이터 탐색, 분석, 머신러닝 모델 개발 및 데이터 엔지니어링 작업을 모두 수행할 수 있도록 합니다. 본 플랫폼은 Snowpark ML, Streamlit, Cortex, Iceberg 테이블과도 연계하여 원활한 공동 작업, 자동화, 네이티브 Git 통합에 의한 버전 관리를 지원합니다. 데이터 마이그레이션을 줄이고 단일 플랫폼에서 워크플로우 효율성을 향상시킵니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향 및 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁 및 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석 및 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별 및 국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도 및 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹 및 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문 및 전략

제36장 부록

AJY
영문 목차

영문목차

Big data software as a service is a cloud-based model where the provider manages and scales the software needed to ingest, store, process, and analyze massive, rapidly changing, and diverse datasets. Customers access this service over the internet without managing the underlying hardware or infrastructure. This solution allows organizations to convert large volumes of data into actionable insights and data-driven applications, providing benefits such as lower upfront costs, scalable performance, simplified operations, and faster experimentation.

The primary components of big data software as a service are software and services. Software includes cloud-based applications and platforms that support data processing, analytics, and visualization without requiring on-premise infrastructure. It is delivered through different deployment models, including public cloud, private cloud, and hybrid cloud, for organizations of various sizes, such as small and medium enterprises and large enterprises, and is utilized across multiple industry verticals, including banking, financial services, and insurance (BFSI), healthcare, retail, manufacturing, information technology (IT) and telecommunications, government, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

The big data software as a service market research report is one of a series of new reports from The Business Research Company that provides big data software as a service market statistics, including big data software as a service industry global market size, regional shares, competitors with a big data software as a service market share, detailed big data software as a service market segments, market trends and opportunities, and any further data you may need to thrive in the big data software as a service industry. The big data software as a service market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The big data software as a service market size has grown rapidly in recent years. It will grow from $19.20 billion in 2024 to $22.78 billion in 2025 at a compound annual growth rate (CAGR) of 18.6%. The growth during the historic period can be linked to the increasing adoption of cloud computing, rising enterprise demand for data analytics, the proliferation of IoT devices generating large datasets, growing investment in IT infrastructure, and early demand for business intelligence solutions.

The big data software as a service market size is expected to see rapid growth in the next few years. It will grow to $44.55 billion in 2029 at a compound annual growth rate (CAGR) of 18.3%. The growth in the forecast period is expected to result from a stronger focus on AI and machine learning integration, increasing emphasis on real-time data processing, expansion of edge computing, heightened regulatory compliance and data governance requirements, and rising demand for scalable and flexible SaaS platforms. Key trends in the forecast period include AI and machine learning integration for predictive analytics, real-time data processing and streaming capabilities, enhanced data security and privacy features, serverless and multi-cloud deployment models, and low-code/no-code platforms for simplified data management and insights generation.

The increasing adoption of cloud-based solutions is expected to drive the growth of the big data software as a service (SaaS) market in the coming years. Cloud-based solutions are internet-delivered services and applications that provide flexible access, scalable resources, and remote management of data and software. The demand for cloud-based solutions is growing because they allow secure, remote access to data and applications, enabling seamless collaboration without relying on physical hardware. Big data software as a service enhances cloud solutions by enabling businesses to analyze and visualize large datasets without the need for on-premises infrastructure. This provides real-time insights, scalable storage, and promotes collaboration across teams. For example, Google Cloud, a US-based cloud computing service, reported that the use of multiple public clouds increased by 26% in 2022, up from 21% in 2021. Additionally, hybrid cloud utilization also surged from 25% in 2021 to 42.5% in 2022. Therefore, the growing adoption of cloud-based solutions is fueling the expansion of the big data software as a service market.

Companies in the big data software-as-a-service market are focusing on developing advanced solutions, such as end-to-end interactive platforms, to enable real-time data analysis and generate actionable insights for better business decision-making. End-to-end interactive platforms are unified environments that allow users to seamlessly manage data exploration, coding, visualization, and model deployment while streamlining workflows by integrating multiple tools and languages into a single collaborative interface. For instance, in June 2024, Snowflake Inc., a US-based cloud-based data storage company, launched Snowflake Notebooks, an integrated, end-to-end interactive environment within its platform for data and AI teams. This cell-based interface combines Python, SQL, and Markdown, enabling users to perform data exploration, analysis, machine learning model development, and data engineering tasks, all within Snowflake's secure, scalable architecture. The platform also integrates with Snowpark ML, Streamlit, Cortex, and Iceberg tables, supporting seamless collaboration, automation, version control via native Git integration, and reduced data movement to improve workflow efficiency on a single platform.

In June 2024, Databricks, a US-based software company providing big data software as a service (SaaS) through its unified cloud platform for data engineering, partnered with NVIDIA to accelerate enterprise AI capabilities. The partnership is aimed at integrating NVIDIA CUDA-accelerated computing into Databricks' platform to optimize data workflows, boost generative AI development, and enable efficient, sustainable AI operations. NVIDIA, a US-based company specializing in artificial intelligence computing, is collaborating to enhance the performance and capabilities of the platform.

Major players in the big data software as a service market are Google LLC, Microsoft Corporation, Amazon Web Services Inc, International Business Machines Corporation, Oracle Corporation, SAP SE, Salesforce Inc., Hewlett Packard Enterprise Development LP, Databricks Inc, SAS Institute Inc, Snowflake Inc, Teradata Corporation, MongoDB Inc, Elastic NV, Confluent Inc, MicroStrategy Incorporated, Domo Inc, Collibra NV, Alation Inc, Starburst Data Inc.

North America was the largest region in the big data software as a service market in 2024. The regions covered in big data software as a service report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the big data software as a service market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The big data software as a service market includes revenues earned by entities by providing services such as data warehousing, data integration, real-time stream processing analytics and business intelligence, data pipeline orchestration and scheduling, data cataloging and metadata management, data governance and compliance management, and monitoring and observability services. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Big Data Software As A Service Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on big data software as a service market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for big data software as a service ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The big data software as a service market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Big Data Software As A Service Market Characteristics

3. Big Data Software As A Service Market Trends And Strategies

4. Big Data Software As A Service Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Big Data Software As A Service Growth Analysis And Strategic Analysis Framework

6. Big Data Software As A Service Market Segmentation

7. Big Data Software As A Service Market Regional And Country Analysis

8. Asia-Pacific Big Data Software As A Service Market

9. China Big Data Software As A Service Market

10. India Big Data Software As A Service Market

11. Japan Big Data Software As A Service Market

12. Australia Big Data Software As A Service Market

13. Indonesia Big Data Software As A Service Market

14. South Korea Big Data Software As A Service Market

15. Western Europe Big Data Software As A Service Market

16. UK Big Data Software As A Service Market

17. Germany Big Data Software As A Service Market

18. France Big Data Software As A Service Market

19. Italy Big Data Software As A Service Market

20. Spain Big Data Software As A Service Market

21. Eastern Europe Big Data Software As A Service Market

22. Russia Big Data Software As A Service Market

23. North America Big Data Software As A Service Market

24. USA Big Data Software As A Service Market

25. Canada Big Data Software As A Service Market

26. South America Big Data Software As A Service Market

27. Brazil Big Data Software As A Service Market

28. Middle East Big Data Software As A Service Market

29. Africa Big Data Software As A Service Market

30. Big Data Software As A Service Market Competitive Landscape And Company Profiles

31. Big Data Software As A Service Market Other Major And Innovative Companies

32. Global Big Data Software As A Service Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Big Data Software As A Service Market

34. Recent Developments In The Big Data Software As A Service Market

35. Big Data Software As A Service Market High Potential Countries, Segments and Strategies

36. Appendix

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