세계의 데이터 시각화 분야 생성형 AI 시장 보고서(2025년)
Generative Artificial Intelligence (AI) In Data Visualization Global Market Report 2025
상품코드 : 1717005
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 175 Pages
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한글목차

데이터 시각화 분야 생성형 AI 시장 규모는 향후 몇 년 동안 연평균 14.9%의 성장률을 기록하며 2029년에는 87억 9,000만 달러에 달할 것으로 예측됩니다. 예측 기간 동안의 성장 배경에는 개인화된 대화형 데이터 경험에 대한 관심 증가, 생성 모델 기능 향상, AI R&D 투자 증가, AI 기반 비즈니스 인텔리전스 도구의 채택 확대, 5G 기술 확대 등이 있습니다. 예측 기간의 주요 동향으로는 초개인화된 시각적 경험, 증강현실(AR) 및 가상현실(VR)과의 통합, AI 기반 예측 분석의 발전, 셀프 서비스형 데이터 시각화 도구, 데이터 조회를 위한 자연어 인터페이스의 사용 등이 있습니다.

데이터 생성 증가는 데이터 시각화 분야 생성형 AI 시장 확대를 촉진할 것으로 예측됩니다. 이러한 데이터 생성 증가는 디지털 기술, IoT 기기의 사용 증가, 인터넷 사용자 기반 확대에 의해 촉진되고 있습니다. 데이터 시각화 분야의 생성형 AI는 통찰력 창출을 자동화하고 복잡한 데이터를 보다 쉽게 접근하고 이해할 수 있도록 함으로써 방대한 양의 데이터를 관리하고 해석하는 데 도움을 줄 수 있습니다. 예를 들어, 2022년 12월 리눅스 재단은 평균적인 최종 사용자 조직의 데이터 증가량이 2022년 2,208TB에 달하고, 2021년 기록된 700TB보다 215.43% 증가했다고 보고했습니다. 결과적으로 데이터 생성량 증가가 데이터 시각화 분야의 생성형 AI 시장의 성장을 가속하고 있습니다.

데이터 시각화 시장의 주요 기업들은 데이터 분석을 강화하고, 시각적 통찰력을 자동화하며, 의사결정 프로세스를 개선하기 위해 AI 기반 그래픽과 같은 고급 솔루션 개발에 주력하고 있습니다. 데이터 입력을 기반으로 도표, 그래프, 디자인 등 시각적 컨텐츠를 자동으로 생성, 강화, 최적화하는 소프트웨어를 말합니다. 예를 들어, 2024년 6월 미국의 소프트웨어 솔루션 기업인 Databricks Inc.는 복잡한 데이터 세트의 시각적 표현을 자동으로 생성하고 정교화하여 프로세스를 간소화하는 AI를 활용한 시각화 도구 'AI/BI'를 발표했습니다. 이 도구는 데이터 분석의 효율성과 접근성을 향상시키도록 설계되었으며, 비즈니스 인텔리전스, 데이터 탐색, 예측 분석, 이상 징후 감지, 운영 모니터링, 맞춤형 보고서, 대화형 데이터 분석 등 다양한 용도를 지원합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 거시경제 시나리오 금리, 인플레이션, 지정학, 신형 코로나바이러스 영향과 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 개요

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장 잠재력이 높은 국가, 부문, 전략

제36장 부록

LSH
영문 목차

영문목차

Generative artificial intelligence in data visualization involves using advanced AI algorithms and models to automatically create, enhance, and optimize visual representations of data. This technology employs generative methods to produce innovative and insightful visualizations based on data patterns, trends, and user interactions.

The primary types of generative artificial intelligence used in data visualization include Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and others. GANs are a type of machine learning framework consisting of two neural networks, a generator and a discriminator that work together to improve the quality of generated data. These technologies can be deployed both through cloud-based solutions and on-premises setups for various applications, including exploratory data analysis, business intelligence, and reporting. They are utilized across multiple industries, such as information technology (IT) and telecom, healthcare, finance, retail, and manufacturing.

The generative artificial intelligence in data visualization market research report is one of a series of new reports from The Business Research Company that provides generative artificial intelligence in data visualization market statistics, including the generative artificial intelligence in data visualization industry's global market size, regional shares, competitors with a generative artificial intelligence in data visualization market share, detailed generative artificial intelligence in data visualization market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence in data visualization industry. This generative artificial intelligence in data visualization 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 generative artificial intelligence (AI) in data visualization market size has grown rapidly in recent years. It will grow from $4.38 billion in 2024 to $5.04 billion in 2025 at a compound annual growth rate (CAGR) of 15.1%. The growth in the historic period can be attributed to the rise of big data analytics, increasing demand for real-time data insights, the proliferation of cloud computing, the growing use of data-driven decision-making, and the need for enhanced data interpretation across various industries.

The generative artificial intelligence (AI) in data visualization market size is expected to see rapid growth in the next few years. It will grow to $8.79 billion in 2029 at a compound annual growth rate (CAGR) of 14.9%. The growth in the forecast period can be attributed to a growing focus on personalized and interactive data experiences, improvements in generative model capabilities, rising investment in AI research and development, increasing adoption of AI-powered business intelligence tools, and expansion of 5G technology. Major trends in the forecast period include hyper-personalized visual experiences, integration with augmented reality (AR) and virtual reality (VR), advancements in AI-driven predictive analytics, self-service data visualization tools, use of natural language interfaces for data querying.

The increasing growth in data generation is expected to drive the expansion of the generative artificial intelligence (AI) in data visualization market. This rise in data generation is fueled by the growing use of digital technologies, IoT devices, and an expanding internet user base. Generative AI in data visualization helps manage and interpret this vast amount of data by automating insight creation and making complex data more accessible and understandable. For example, in December 2022, The Linux Foundation reported that data growth for an average end-user organization reached 2,208 TB in 2022, a 215.43% increase from the 700 TB recorded in 2021. Consequently, the increasing volume of data generation is propelling the growth of the generative AI in data visualization market.

Key players in the generative AI in data visualization market are focusing on developing advanced solutions, such as AI-driven graphics, to enhance data interpretation, automate visual insights, and improve decision-making processes. AI-driven graphics refer to software that leverages AI to automatically create, enhance, or optimize visual content such as charts, graphs, and designs based on data inputs. For instance, in June 2024, Databricks Inc., a US-based software solutions company, introduced AI/BI, an AI-powered visualization tool that simplifies the process by automatically generating and refining visual representations of complex datasets. This tool is designed to improve data analysis efficiency and accessibility, supporting various applications including business intelligence, data exploration, predictive analytics, anomaly detection, operational monitoring, customized reporting, and interactive data analysis.

In February 2024, Databricks Inc. acquired Einblick Inc. for an undisclosed amount. This acquisition aims to enhance data teams' capabilities by integrating Einblick's innovative technology, which enables users to convert natural language queries into actionable data insights. Einblick Inc. is a US-based provider of a natural language data science notebook and an AI-powered data visualization platform.

Major companies operating in the generative artificial intelligence in data visualization market are Alphabet Inc., Microsoft Corporation, International Business Machines Corporation, Oracle Corporation, NVIDIA Corporation, Salesforce Inc., Baidu Inc., Autodesk Inc., Qlik Technologies AB, MicroStrategy Incorporated, Domo Inc., Sisense Inc., ThoughtSpot Inc., ARKA Software, XenonStack, Yellowfin BI, Plotly, Akaike Technologies Pvt. Ltd., Klipfolio Inc., ClicData Inc., Metabase Inc.

North America was the largest region in the generative artificial intelligence data visualization market in 2024. The regions covered in the generative artificial intelligence in data visualization market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

The generative artificial intelligence in data visualization market includes revenues earned by entities by providing services such as implementation services, consulting services, and visualization platform management. 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.

Generative Artificial Intelligence (AI) In Data Visualization 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 artificial intelligence (ai) in data visualization 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 artificial intelligence (ai) in data visualization ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The generative artificial intelligence (ai) in data visualization 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 Artificial Intelligence (AI) In Data Visualization Market Characteristics

3. Generative Artificial Intelligence (AI) In Data Visualization Market Trends And Strategies

4. Generative Artificial Intelligence (AI) In Data Visualization Market - Macro Economic Scenario Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market

5. Global Generative Artificial Intelligence (AI) In Data Visualization Growth Analysis And Strategic Analysis Framework

6. Generative Artificial Intelligence (AI) In Data Visualization Market Segmentation

7. Generative Artificial Intelligence (AI) In Data Visualization Market Regional And Country Analysis

8. Asia-Pacific Generative Artificial Intelligence (AI) In Data Visualization Market

9. China Generative Artificial Intelligence (AI) In Data Visualization Market

10. India Generative Artificial Intelligence (AI) In Data Visualization Market

11. Japan Generative Artificial Intelligence (AI) In Data Visualization Market

12. Australia Generative Artificial Intelligence (AI) In Data Visualization Market

13. Indonesia Generative Artificial Intelligence (AI) In Data Visualization Market

14. South Korea Generative Artificial Intelligence (AI) In Data Visualization Market

15. Western Europe Generative Artificial Intelligence (AI) In Data Visualization Market

16. UK Generative Artificial Intelligence (AI) In Data Visualization Market

17. Germany Generative Artificial Intelligence (AI) In Data Visualization Market

18. France Generative Artificial Intelligence (AI) In Data Visualization Market

19. Italy Generative Artificial Intelligence (AI) In Data Visualization Market

20. Spain Generative Artificial Intelligence (AI) In Data Visualization Market

21. Eastern Europe Generative Artificial Intelligence (AI) In Data Visualization Market

22. Russia Generative Artificial Intelligence (AI) In Data Visualization Market

23. North America Generative Artificial Intelligence (AI) In Data Visualization Market

24. USA Generative Artificial Intelligence (AI) In Data Visualization Market

25. Canada Generative Artificial Intelligence (AI) In Data Visualization Market

26. South America Generative Artificial Intelligence (AI) In Data Visualization Market

27. Brazil Generative Artificial Intelligence (AI) In Data Visualization Market

28. Middle East Generative Artificial Intelligence (AI) In Data Visualization Market

29. Africa Generative Artificial Intelligence (AI) In Data Visualization Market

30. Generative Artificial Intelligence (AI) In Data Visualization Market Competitive Landscape And Company Profiles

31. Generative Artificial Intelligence (AI) In Data Visualization Market Other Major And Innovative Companies

32. Global Generative Artificial Intelligence (AI) In Data Visualization Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Generative Artificial Intelligence (AI) In Data Visualization Market

34. Recent Developments In The Generative Artificial Intelligence (AI) In Data Visualization Market

35. Generative Artificial Intelligence (AI) In Data Visualization Market High Potential Countries, Segments and Strategies

36. Appendix

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