세계의 애널리틱스용 생성형 AI 시장 보고서(2025년)
Generative AI In Analytics Global Market Report 2025
상품코드 : 1686459
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 200 Pages
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한글목차

애널리틱스용 생성형 AI 시장 규모는 향후 수년간 비약적인 성장이 전망됩니다. 2029년에는 CAGR 30.9%로 성장할 전망이며, 49억 8,000만 달러로 성장이 예측됩니다. 예측 기간의 성장은 IoT 디바이스와의 통합, 설명 가능한 AI(XAI) 출현, 연합 학습 기술의 채택, 비즈니스 프로세스에서의 AI 주도 자동화 확대, 생성형 AI 및 자연 언어 처리(NLP) 용도 통합에 기인할 것으로 보입니다. 예측 기간 주요 동향으로는 생성형 AI 도구의 민주화, 윤리적인 AI 개발에 대한 관심 고조, 생성형 적대 네트워크(GAN)의 보급, 콘텐츠 생성에 있어서 AI를 활용한 창조성 고조, 헬스케어 및 생명과학에 있어서 생성형 AI 용도 확대 등이 있습니다.

AI 생성 컨텐츠에 대한 수요가 높아지면 당면한 애널리틱스용 생성형 AI 시장의 성장을 견인할 것으로 예측됩니다. AI 생성 콘텐츠란 인공지능의 알고리즘이나 기술을 이용해 작성된 텍스트, 이미지, 동영상 등의 디지털 콘텐츠를 말합니다. AI 생성 콘텐츠에 대한 수요 증가는 개인화된 연관성이 높은 콘텐츠를 대규모로 효율적으로 전달하는 능력에 의해 뒷받침되며, 이를 통해 사용자 참여가 향상되고 기업의 제작 비용이 절감됩니다. AI 생성 모델은 방대한 데이터 세트를 분석하고 패턴, 동향 및 인사이트를 파악하는 능력이 있어 기사, 보고서, 크리에이티브 작품 등의 콘텐츠 작성에 활용할 수 있습니다. 예를 들어 비즈니스 소프트웨어와 AI 도구를 전문으로 하는 미국의 도잇소프트웨어사는 2024년 2월 생성형 AI 플랫폼 '챗GPT'의 2022년 추정 인게이지먼트 수가 5,700만 명에 달했고 2023년 1월에는 1억 명으로 급증했다고 보고했습니다. 이러한 AI 생성 컨텐츠에 대한 수요 급증은, 애널리틱스용 생성형 AI 시장의 성장을 지지하는 중요한 요인이 되고 있습니다.

애널리틱스에서 AI 시장의 주요 기업들은 경쟁력을 유지하기 위해 인공지능 기반 비디오 분석과 같은 기술 혁신을 적극적으로 추진하고 있습니다. 인공지능 기반 비디오 분석 용도는 머신러닝 및 심층 학습 알고리즘을 이용하여 비디오 데이터를 분석하고 실용적인 인사이트 및 결론을 도출하는 소프트웨어 솔루션입니다. 예를 들어, 2022년 9월, Dallmeier Electronic GmbH & Co.KG는 해양 용도에 특화된 인공지능 기반 비디오 분석 도구인 Sedor AI를 발표했습니다. Sedor AI는 일반적인 조건 하에서 차폐물이 없는 수면에서 선박을 식별할 뿐만 아니라 파도와 물의 반사와 같은 엄격한 환경 요인을 식별할 수 있도록 설계되었습니다. 이 소프트웨어 솔루션은 ISPS(국제 선박 항만 시설 보안) 코드와 같은 법적 요구 사항을 준수하며, 항만 운영자와 정유소가 물가로부터의 불법 침입, 해적 행위, 잠재적인 테러 위협 등의 위험을 완화할 수 있도록 지원합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향 및 전략

제4장 시장-금리, 인플레이션, 지정학, 코로나, 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

Generative AI in analytics encompasses a specialized domain within artificial intelligence aimed at developing models and algorithms capable of generating fresh and insightful data, analyses, or content by leveraging patterns and existing datasets. This approach harnesses data-driven insights to fuel innovation, streamline decision-making processes, and unveil latent patterns that may elude traditional analytical methods.

The primary technologies underpinning generative AI in analytics include machine learning, natural language processing, deep learning, computer vision, and robotic process automation. Machine learning, a core component, empowers computers to learn from data and enhance their performance on specific tasks without explicit programming. These technologies operate across cloud-based and on-premise platforms, serving diverse applications such as data augmentation, anomaly detection, text generation, simulation, and forecasting.

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

The generative AI in analytics market size has grown exponentially in recent years. It will grow from $1.3 billion in 2024 to $1.7 billion in 2025 at a compound annual growth rate (CAGR) of 31.2%. The growth in the historic period can be attributed to growing data volumes, advancements in deep learning algorithms, increased computational power, expansion of cloud computing infrastructure, rise of big data analytics.

The generative AI in analytics market size is expected to see exponential growth in the next few years. It will grow to $4.98 billion in 2029 at a compound annual growth rate (CAGR) of 30.9%. The growth in the forecast period can be attributed to integration with IoT devices, emergence of explainable AI (XAI), adoption of federated learning techniques, expansion of AI-driven automation in business processes, integration of generative AI with natural language processing (NLP) applications. Major trends in the forecast period include democratization of generative AI tools, increased focus on ethical AI development, proliferation of generative adversarial networks (GANs), rise of AI-augmented creativity in content generation, expansion of generative AI applications in healthcare and life sciences.

The increasing demand for AI-generated content is anticipated to drive the growth of the generative AI in analytics market in the foreseeable future. AI-generated content refers to digital content, including text, images, or videos, that is produced using artificial intelligence algorithms and technologies. This rising demand for AI-generated content is fueled by its capacity to efficiently deliver personalized and relevant content on a large scale, thereby enhancing user engagement and reducing production costs for businesses. Generative AI models are capable of analyzing extensive datasets to identify patterns, trends, and insights that can be leveraged to create content such as articles, reports, and creative works. For example, in February 2024, DOIT Software, a US-based company specializing in business software and AI tools, reported that the generative AI platform ChatGPT had an estimated engagement of 57 million individuals in 2022, which surged to 100 million by January 2023. This surge in demand for AI-generated content is a key driver behind the growth of the generative AI in analytics market.

Leading companies in the generative AI in analytics market are actively innovating technologies, such as artificial intelligence-based video analytics, to maintain their competitive edge. An artificial intelligence-based video analytics application is a software solution that utilizes machine learning and deep learning algorithms to analyze video data and derive actionable insights and conclusions. For instance, in September 2022, Dallmeier Electronic GmbH & Co. KG, a Germany-based company specializing in video security technology solutions, introduced Sedor AI, an artificial intelligence-based video analytics tool tailored for maritime applications. Sedor AI is designed to identify vessels on unobstructed water surfaces under typical conditions, as well as challenging environmental factors like waves and water reflections. This software solution complies with legal requirements such as the ISPS (International Ship and Port Facility Security) Code and assists port operators and refineries in mitigating risks like illegal entry from the waterside, piracy, and potential terrorist threats.

In March 2024, Databricks Inc., a US-based artificial intelligence company, completed the acquisition of Lilac AI for an undisclosed sum. This strategic acquisition by Databricks aims to streamline the evaluation of unstructured data for generative AI applications. Lilac AI offers a scalable and user-friendly tool for data scientists to search, cluster, and analyze text datasets with a focus on generative AI. Lilac AI, a US-based startup specializing in scalable tools for text data analysis in generative AI, provides valuable capabilities for exploring, clustering, and analyzing various types of text datasets, further enhancing Databricks' offerings in the AI space.

Major companies operating in the generative AI in analytics market report are Amazon Inc.; Apple Inc.; Alphabet Inc.; Microsoft Corporation; Dell Technologies Inc.; Siemens AG; Accenture PLC; International Business Machines Corporation (IBM); Oracle Corporation; SAP SE; NVIDIA Corporation; Adobe Inc.; Block Inc.; Automatic Data Processing Inc.; ServiceNow Inc.; Workday Inc.; Atlassian Corporation; Slack Technologies Inc.; OpenAI; MongoDB Inc.; Box Inc.; SG Analytics Pvt. Ltd.; Decimal Point Analytics Pvt; Gramener Inc.; Anthropic PBC; Valiance Solutions Inc.

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

The countries covered in the generative AI in analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The generative AI in analytics market consists of revenues earned by providing services such as predictive modeling, anomaly detection, and data synthesis. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative AI in analytics market also includes sales of high-performance computing (HPC) systems, specialized processors such as graphical processing units (GPUs) or tensor processing units (TPUs). 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.

Generative AI In Analytics 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 generative ai in analytics 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 generative ai in analytics ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The generative ai in analytics 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 Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Generative AI In Analytics Market Characteristics

3. Generative AI In Analytics Market Trends And Strategies

4. Generative AI In Analytics Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Generative AI In Analytics Growth Analysis And Strategic Analysis Framework

6. Generative AI In Analytics Market Segmentation

7. Generative AI In Analytics Market Regional And Country Analysis

8. Asia-Pacific Generative AI In Analytics Market

9. China Generative AI In Analytics Market

10. India Generative AI In Analytics Market

11. Japan Generative AI In Analytics Market

12. Australia Generative AI In Analytics Market

13. Indonesia Generative AI In Analytics Market

14. South Korea Generative AI In Analytics Market

15. Western Europe Generative AI In Analytics Market

16. UK Generative AI In Analytics Market

17. Germany Generative AI In Analytics Market

18. France Generative AI In Analytics Market

19. Italy Generative AI In Analytics Market

20. Spain Generative AI In Analytics Market

21. Eastern Europe Generative AI In Analytics Market

22. Russia Generative AI In Analytics Market

23. North America Generative AI In Analytics Market

24. USA Generative AI In Analytics Market

25. Canada Generative AI In Analytics Market

26. South America Generative AI In Analytics Market

27. Brazil Generative AI In Analytics Market

28. Middle East Generative AI In Analytics Market

29. Africa Generative AI In Analytics Market

30. Generative AI In Analytics Market Competitive Landscape And Company Profiles

31. Generative AI In Analytics Market Other Major And Innovative Companies

32. Global Generative AI In Analytics Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Generative AI In Analytics Market

34. Recent Developments In The Generative AI In Analytics Market

35. Generative AI In Analytics Market High Potential Countries, Segments and Strategies

36. Appendix

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