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세계의 빅데이터 인텔리전스 엔진 시장 보고서(2025년)
Big Data Intelligence Engine Global Market Report 2025
상품코드 : 1877546
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

빅데이터 인텔리전스 엔진 시장 규모는 최근 급속히 확대되고 있습니다. 2024년 401억 8,000만 달러에서 2025년에는 466억 2,000만 달러에 달하고, CAGR 16.0%를 나타낼 것으로 전망되고 있습니다. 지난 몇 년간의 성장은 사물인터넷(IoT) 디바이스에서의 데이터 생성량 증가, 클라우드 컴퓨팅 플랫폼 도입 확대, 사업 운영에서 실시간 분석 수요 증가, 인공지능(AI) 및 머신러닝(ML) 기술 활용 확대, 다양한 산업 분야에서 데이터 중심의 의사결정에 대한 수요 증가로 인한 것으로 예측됩니다.

빅데이터 인텔리전스 엔진 시장 규모는 향후 수년간 급속한 성장이 예상됩니다. 2029년에는 834억 7,000만 달러에 이르며 CAGR은 15.7%를 나타낼 것으로 예측됩니다. 예측 기간의 성장 요인으로는 인공지능 및 머신러닝 솔루션에 대한 의존도 증가, 실시간 분석 및 인사이트에 대한 수요 증가, 데이터 프라이버시 및 보안 솔루션에 대한 수요 증가, 데이터 처리에서 엣지 컴퓨팅의 보급 확대, 데이터 분석 및 인텔리전스 솔루션에 대한 투자 증가 등이 있습니다. 예측 기간의 주요 동향으로는 빅데이터 분석 툴의 기술적 진보, 데이터 통합·처리 기술의 발전, 인공지능 및 머신러닝 알고리즘의 혁신, 데이터 시각화·보고 작성 툴의 고도화, 데이터 거버넌스 및 컴플라이언스 틀의 진전 등을 들 수 있습니다.

향후, 데이터량 증가가 빅데이터 인텔리전스 엔진 시장의 성장을 견인할 것으로 예측됩니다. 데이터 양은 여러 섹터에서 매일 생성되는 방대한 구조화 및 비구조화 정보를 의미합니다. 데이터 급증은 지속적으로 대량 정보를 생산하는 디지털 디바이스의 보급으로 인해 확장 가능한 데이터 스토리지 및 관리 솔루션에 대한 강한 수요를 창출하고 있습니다. 빅데이터 인텔리전스 엔진은 대규모 데이터 세트를 실시간으로 수집, 저장, 처리함으로써 증가하는 데이터 양을 효율적으로 처리하고 조직이 데이터를 액세스하고 실용적인 상태로 유지하면서 신속하게 분석하고 인사이트를 도출할 수 있도록 합니다. 예를 들어, 2024년 11월 스위스에 본부를 두고 있는 국제전기통신연합(ITU)이 발표한 데이터에 따르면 고정 광대역 트래픽은 2024년 6제타바이트(ZB)에 이르렀으며 2023년 5.1ZB에서 약 18%의 연간 증가율을 보였습니다. 이와 같이 데이터량 증가가 빅데이터 인텔리전스 엔진 시장의 성장을 가속하고 있습니다.

빅데이터 인텔리전스 엔진 시장에서 사업을 전개하는 주요 기업은 워크플로우 효율성과 의사결정 프로세스의 향상을 도모하기 위해 대화형 인공지능(AI) 등 첨단 기술 개발에 주력하고 있습니다. 대화형 AI는 사용자가 자연어 쿼리를 통해 방대한 데이터 세트와 상호 작용할 수 있는 지능형 인터페이스를 말하며, 감사 가능한 응답과 실용적인 지식을 제공하는 동시에 수동 분석 작업을 최소화합니다. 예를 들어, 2024년 11월에는 미국을 기반으로 하는 금융 디지털 플랫폼 및 엔터프라이즈 솔루션 제공업체인 팩트셋사가 세계 어시스턴트를 통해 AI 탑재 툴과 통합된 대화형 지식 엔진 '팩트셋 머큐리'를 특징으로 하는 '인텔리전트 플랫폼' 이니셔티브를 발표했습니다. 이 플랫폼은 사내에서 AI 기능을 통합하기 위한 '엔터프라이즈 AI 빌딩 블록', 머큐리 탑재 채팅봇을 고객 환경에 통합하기 위한 '대화형 API' 및 주요 데이터 피드를 통합하는 'GenAI 데이터 패키지'를 제공합니다. 주요 기능으로 은행가 및 애널리스트를 위한 피치북 작성을 자동화하는 '피치 크리에이터', 맞춤형 가능한 검색 및 보고 기능을 갖춘 AI 생성 포트폴리오 성과 분석 '포트폴리오 해설', 바이사이드 애널리스트 및 포트폴리오 매니저용 리서치 관리 솔루션 'IRN 2.0”, IR(투자자용 홍보) 및 기업 전략 팀을 위한 구조화·비구조화 데이터 검색을 촉진하는 강화형 기업 솔루션 등을 들 수 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

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

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/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 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

KTH
영문 목차

영문목차

A big data intelligence engine is an advanced system that combines big data technologies, artificial intelligence, and machine learning to gather, process, and analyze vast volumes of structured and unstructured data from multiple sources in real time. Its purpose is to identify meaningful patterns, generate actionable insights, and support intelligent decision-making across different domains. This system allows organizations to convert raw data into valuable knowledge, enhance automation, improve efficiency, and proactively address emerging trends or anomalies.

The key components of a big data intelligence engine include software, hardware, and services. Software refers to platforms and tools that collect, process, and analyze large datasets to produce actionable insights. The deployment modes include cloud and on-premises, offering several analytics types such as descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. It is used in various applications, including customer analytics, fraud detection and risk management, operations management, and sales and marketing. The system serves multiple end-user industries, such as retail and e-commerce, healthcare and life sciences, banking, financial services and insurance (BFSI), telecommunications, government, manufacturing, energy and utilities, and media and entertainment.

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 intelligence engine market research report is one of a series of new reports from The Business Research Company that provides big data intelligence engine market statistics, including big data intelligence engine industry global market size, regional shares, competitors with a big data intelligence engine market share, detailed big data intelligence engine market segments, market trends and opportunities, and any further data you may need to thrive in the big data intelligence engine industry. The big data intelligence engine 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 intelligence engine market size has grown rapidly in recent years. It will grow from $40.18 billion in 2024 to $46.62 billion in 2025 at a compound annual growth rate (CAGR) of 16.0%. The growth in the historic period can be attributed to the increasing data generation from Internet of Things (IoT) devices, rising adoption of cloud computing platforms, growing need for real-time analytics in business operations, expanding use of artificial intelligence (AI) and machine learning (ML) technologies, and increasing demand for data-driven decision-making across various industries.

The big data intelligence engine market size is expected to see rapid growth in the next few years. It will grow to $83.47 billion in 2029 at a compound annual growth rate (CAGR) of 15.7%. The growth in the forecast period can be attributed to the growing reliance on artificial intelligence and machine learning solutions, increasing need for real-time analytics and insights, rising demand for data privacy and security solutions, growing adoption of edge computing for data processing, and increasing investments in data analytics and intelligence solutions. Major trends in the forecast period include technological advancements in big data analytics tools, developments in data integration and processing technologies, innovation in artificial intelligence and machine learning algorithms, advancements in data visualization and reporting tools, and developments in data governance and compliance frameworks.

The increasing data volume is expected to drive the growth of the big data intelligence engine market going forward. Data volume refers to the vast amounts of structured and unstructured information generated daily across multiple sectors. The surge in data volume is attributed to the widespread use of digital devices that continuously produce extensive information, creating a strong demand for scalable data storage and management solutions. A big data intelligence engine efficiently handles increasing data volumes by capturing, storing, and processing large datasets in real time, enabling organizations to analyze and derive insights rapidly while keeping data accessible and actionable. For instance, in November 2024, according to the International Telecommunication Union, a Switzerland-based specialized agency, fixed broadband traffic reached 6 zettabytes (ZB) in 2024, up from 5.1 ZB in 2023, reflecting an approximate 18% year-over-year increase. Therefore, the increasing data volume is fueling the growth of the big data intelligence engine market.

Key companies operating in the big data intelligence engine market are focusing on developing advanced technologies such as conversational artificial intelligence (AI) to enhance workflow efficiency and decision-making processes. Conversational AI refers to an intelligent interface that enables users to interact with extensive datasets through natural language queries, delivering auditable responses and actionable insights while minimizing manual analysis efforts. For instance, in November 2024, FactSet, a United States-based provider of financial digital platforms and enterprise solutions, launched the Intelligent Platform initiative featuring FactSet Mercury, a conversational knowledge engine integrated with AI-powered tools through a global assistant. The platform offers Enterprise AI Building Blocks to integrate AI capabilities internally, a Conversational API for embedding Mercury-powered chatbots into client environments, and GenAI Data Packages that unify essential data feeds. Its primary features include Pitch Creator, which automates pitch book preparation for bankers and analysts; Portfolio Commentary, which provides AI-generated insights into portfolio performance with customizable search and reporting; IRN 2.0, a research management solution for buy-side analysts and portfolio managers; and an enhanced corporate solution that facilitates structured and unstructured data searches for Investor Relations and Corporate Strategy teams.

In March 2024, Cisco Systems Inc., a United States-based networking and information technology infrastructure company, acquired Splunk Inc. for $28 billion. Through this acquisition, Cisco aims to strengthen its cybersecurity framework, expand observability solutions, and accelerate artificial intelligence-driven innovations across its digital ecosystem. Splunk Inc. is a United States-based software company that offers a big data collection and analytics platform for deriving insights from extensive volumes of machine-generated data.

Major players in the big data intelligence engine market are Google LLC, Microsoft Corporation, Alibaba Cloud Computing Co Ltd, Amazon Web Services Inc, Dell Technologies Inc., Huawei Technologies Co Ltd, Tencent Cloud International Limited, International Business Machines Corporation, Cisco Systems Inc, Oracle Corporation, Salesforce Inc, SAP SE, Hewlett Packard Enterprise Company, SAS Institute Inc, Databricks Inc, Snowflake Inc, Palantir Technologies Inc, Teradata Corporation, MicroStrategy Incorporated, Domo Inc.

North America was the largest region in the big data intelligence engine market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in big data intelligence engine report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

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

The big data intelligence engine market consists of revenues earned by entities by providing services such as data collection and integration, data processing and transformation, real-time analytics and reporting, and predictive and prescriptive modeling. The market value includes the value of related goods sold by the service provider or included within the service offering. The big data intelligence engine market also includes sales of data storage appliances, high-performance servers, network infrastructure devices, and edge computing devices. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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 Intelligence Engine 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 intelligence engine 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 intelligence engine ? 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 intelligence engine 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 Intelligence Engine Market Characteristics

3. Big Data Intelligence Engine Market Trends And Strategies

4. Big Data Intelligence Engine 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 Intelligence Engine Growth Analysis And Strategic Analysis Framework

6. Big Data Intelligence Engine Market Segmentation

7. Big Data Intelligence Engine Market Regional And Country Analysis

8. Asia-Pacific Big Data Intelligence Engine Market

9. China Big Data Intelligence Engine Market

10. India Big Data Intelligence Engine Market

11. Japan Big Data Intelligence Engine Market

12. Australia Big Data Intelligence Engine Market

13. Indonesia Big Data Intelligence Engine Market

14. South Korea Big Data Intelligence Engine Market

15. Western Europe Big Data Intelligence Engine Market

16. UK Big Data Intelligence Engine Market

17. Germany Big Data Intelligence Engine Market

18. France Big Data Intelligence Engine Market

19. Italy Big Data Intelligence Engine Market

20. Spain Big Data Intelligence Engine Market

21. Eastern Europe Big Data Intelligence Engine Market

22. Russia Big Data Intelligence Engine Market

23. North America Big Data Intelligence Engine Market

24. USA Big Data Intelligence Engine Market

25. Canada Big Data Intelligence Engine Market

26. South America Big Data Intelligence Engine Market

27. Brazil Big Data Intelligence Engine Market

28. Middle East Big Data Intelligence Engine Market

29. Africa Big Data Intelligence Engine Market

30. Big Data Intelligence Engine Market Competitive Landscape And Company Profiles

31. Big Data Intelligence Engine Market Other Major And Innovative Companies

32. Global Big Data Intelligence Engine Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Big Data Intelligence Engine Market

34. Recent Developments In The Big Data Intelligence Engine Market

35. Big Data Intelligence Engine Market High Potential Countries, Segments and Strategies

36. Appendix

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