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세계의 예측 분석 도구 시장 보고서(2025년)
Predictive Analytics Tools Global Market Report 2025
상품코드 : 1760224
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 175 Pages
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한글목차

예측 분석 도구 시장 규모는 향후 수 년간 급성장할 것으로 전망됩니다. 2029년에는 CAGR 15.3%로 326억 1,000만 달러로 성장할 것으로 예측됩니다. 예측 기간 동안 예상되는 성장 배경으로는 전략적 의사결정에서 데이터 의존도 증가, 공급망 최적화를 위한 예측 분석 활용 확대, 마케팅 고급 분석에 대한 수요 증가, 환자 예후 개선을 위한 의료 예측 도구 활용 확대, 확장 가능한 분석을 위한 클라우드 기반 솔루션 채택 확대 등이 있습니다. 이 기간에 예상되는 주요 동향에는 선진 예측 모델링 기법 개발, 실시간 분석 혁신, 예측 통찰을 위한 데이터 시각화 기술 강화, 클라우드 기반 예측 분석 플랫폼 진보, 예측 용도를 위한 자연어 처리(NLP) 진행 등이 있습니다.

데이터 생성량 증가는 향후 몇 년간의 예측 분석 도구 시장의 성장을 가속할 것으로 예측됩니다. 데이터 생성은 분석, 테스트, 모델링, 교육 목적으로 사용되는 실제 데이터 또는 합성 데이터의 생성을 의미합니다. 이러한 데이터의 급증은 사물인터넷(Internet of Things) 디바이스의 보급에 의한 것이 크고, 디바이스는 지속적으로 대량의 데이터를 수집 및 송신해, 세계의 데이터 증가에 공헌하고 있습니다. 방대한 데이터 세트의 가용성은 머신러닝의 정확성을 향상시키고 패턴 인식을 강화하며 더 나은 결과 예측을 가능하게 함으로써 예측 분석 도구의 개발을 지원합니다. 그 결과 조직과 의료 제공업체는 더 많은 정보를 바탕으로 의사 결정을 내리고 전략을 최적화하고 위험을 완화할 수 있습니다. 예를 들어, 2022년 12월 미국에 본사를 둔 오픈소스 이니셔티브인 SODA 재단은 평균 최종 사용자 조직의 연간 데이터 증가량이 2021년 700테라바이트에서 2022년 2,208테라바이트로 증가하여 1년 만에 3배가 되었다고 보고했습니다. 따라서 데이터 세대 증가는 예측 분석 도구 시장의 성장에 크게 기여하고 있습니다.

예측 분석 도구 시장의 주요 기업은 의사 결정을 강화하고 데이터 주도 통찰을 실시간으로 자동화하기 위해 대화형 인공지능 어시스턴트 등의 선진 기술 개발에 주력하고 있습니다. 처리를 활용하여 인간의 대화를 모방한 방법으로 사용자의 입력을 이해하고 응답합니다. Einstein Copilot은 강력한 데이터 거버넌스 프로토콜을 유지하면서 조직의 독자적인 데이터와 메타데이터를 활용합니다. 이를 통해 영업, 서비스, 마케팅 등 각 기능의 팀은 Salesforce 환경 내에서 생산성을 향상시키고, 보다 견고한 고객 관계를 구축하고, 보다 많은 정보를 바탕으로 의사 결정을 내릴 수 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 무역전쟁과 관세, 코로나 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, 전략

제36장 부록

SHW
영문 목차

영문목차

Predictive analytics tools are sophisticated software solutions that utilize statistical modeling, machine learning algorithms, and data mining techniques to analyze both historical and real-time data, enabling precise predictions of future outcomes. These tools reveal underlying patterns and trends, empowering organizations to make proactive, data-driven decisions. By minimizing uncertainty, they enhance risk management, strategic planning, and operational performance.

The core components of predictive analytics tools include software and services. Predictive analytics software applies statistical techniques, machine learning, and data visualization to convert historical data into actionable insights for forecasting and strategic planning. These tools are deployed through either on-premises or cloud-based models and are adopted by organizations of various sizes, including small and medium-sized enterprises (SMEs) and large corporations. They serve a wide range of industry sectors, such as banking, financial services and insurance (BFSI), healthcare, retail, manufacturing, information technology and telecommunications, government, and more.

The predictive analytics tools market research report is one of a series of new reports from The Business Research Company that provides predictive analytics tools market statistics, including the predictive analytics tools industry global market size, regional shares, competitors with the predictive analytics tools market share, detailed predictive analytics tools market segments, market trends, and opportunities, and any further data you may need to thrive in the predictive analytics tools industry. This predictive analytics tools 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 predictive analytics tools market size has grown rapidly in recent years. It will grow from $15.98 billion in 2024 to $18.46 billion in 2025 at a compound annual growth rate (CAGR) of 15.5%. The growth during the historical period can be attributed to the rising demand for real-time insights, increased investments in analytics technologies, a stronger focus on enhancing operational efficiency, greater dependence on predictive models for managing risk, and the expanding application of data analytics across multiple industries.

The predictive analytics tools market size is expected to see rapid growth in the next few years. It will grow to $32.61 billion in 2029 at a compound annual growth rate (CAGR) of 15.3%. The anticipated growth in the forecast period can be attributed to the growing dependence on data for strategic decision-making, the increasing use of predictive analytics for optimizing supply chains, rising demand for advanced analytics in marketing, expanded use of predictive tools in healthcare to improve patient outcomes, and the growing adoption of cloud-based solutions for scalable analytics. Key trends expected during this period include the development of advanced predictive modeling methods, innovations in real-time analytics, enhanced data visualization techniques for predictive insights, progress in cloud-based predictive analytics platforms, and advancements in natural language processing (NLP) for predictive applications.

The increasing volume of data generation is expected to drive the growth of the predictive analytics tools market in the coming years. Data generation refers to the creation of real or synthetic data used for analysis, testing, modeling, or training purposes. This surge in data is largely driven by the widespread adoption of Internet of Things devices, which continuously collect and transmit large volumes of data, contributing to global data growth. The availability of vast datasets supports the development of predictive analytics tools by improving machine learning accuracy, enhancing pattern recognition, and enabling better outcome predictions. As a result, organizations and healthcare providers can make more informed decisions, optimize their strategies, and reduce risks. For instance, in December 2022, the SODA Foundation, a United States based open source initiative, reported that the annual data growth for an average end user organization rose from 700 terabytes in 2021 to 2,208 terabytes in 2022, representing a threefold increase in one year. Therefore, the rising generation of data is contributing significantly to the growth of the predictive analytics tools market.

Leading companies in the predictive analytics tools market are concentrating on developing advanced technologies such as conversational artificial intelligence assistants to enhance decision-making and automate real-time, data-driven insights. A conversational AI assistant is an artificial intelligence system that interacts with users in natural language, offering support, answering questions, and carrying out tasks via text or voice. It utilizes machine learning and natural language processing to understand and respond to user input in a way that mimics human conversation. For example, in February 2024, Salesforce, a United States based cloud software company, introduced Einstein Copilot, a generative AI solution built directly into its customer relationship management applications. Designed to provide secure, AI powered responses, Einstein Copilot makes use of an organization's proprietary data and metadata while maintaining strong data governance protocols. Unincluding general AI tools, it allows users to pose questions, create and summarize content, automate processes, and derive actionable insights through a single interface, eliminating the need for expensive AI model training. This integration helps teams across functions such as sales, service, and marketing to increase productivity, build stronger customer relationships, and make more informed decisions within the Salesforce environment.

In March 2025, Siemens AG, a Germany based automation company, completed the acquisition of Altair Engineering Inc. for $10 billion. The goal of this acquisition is to combine Altair's strengths in simulation, high performance computing, data science, and artificial intelligence with Siemens Xcelerator, creating a comprehensive AI powered design and simulation portfolio. This strategic move is expected to accelerate digital transformation and promote sustainability for industrial clients. Altair Engineering Inc. is a US-based company known for providing predictive analytics tools such as RapidMiner.

Major players in the predictive analytics tools market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, SAP SE, Salesforce Inc., SAS Institute Inc., Tableau Software LLC, Teradata Corporation, Fair Isaac Corporation, Snowflake Inc., Alteryx Inc., TIBCO Software Inc., Qlik Technologies Inc., Databricks, Domo Inc., C3.ai Inc., Cloudera Inc., DataRobot Inc., ThoughtSpot, Domino Data Lab, H2O.ai Inc., and Anaconda Inc.

North America was the largest region in the predictive analytics tools market in 2024. The regions covered in predictive analytics tools report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

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

The predictive analytics tools market consists of revenues earned by entities by providing services such as data analysis, machine learning model development, data visualization, forecasting solutions, and AI-driven predictive insights. The market value includes the value of related goods sold by the service provider or included within the service offering. The predictive analytics tools market also includes sales of high-performance servers, edge devices, graphics processing units, and networking equipment. 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 and 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.

Predictive Analytics Tools 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 predictive analytics tools 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 predictive analytics tools ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The predictive analytics tools 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. Predictive Analytics Tools Market Characteristics

3. Predictive Analytics Tools Market Trends And Strategies

4. Predictive Analytics Tools 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 Predictive Analytics Tools Growth Analysis And Strategic Analysis Framework

6. Predictive Analytics Tools Market Segmentation

7. Predictive Analytics Tools Market Regional And Country Analysis

8. Asia-Pacific Predictive Analytics Tools Market

9. China Predictive Analytics Tools Market

10. India Predictive Analytics Tools Market

11. Japan Predictive Analytics Tools Market

12. Australia Predictive Analytics Tools Market

13. Indonesia Predictive Analytics Tools Market

14. South Korea Predictive Analytics Tools Market

15. Western Europe Predictive Analytics Tools Market

16. UK Predictive Analytics Tools Market

17. Germany Predictive Analytics Tools Market

18. France Predictive Analytics Tools Market

19. Italy Predictive Analytics Tools Market

20. Spain Predictive Analytics Tools Market

21. Eastern Europe Predictive Analytics Tools Market

22. Russia Predictive Analytics Tools Market

23. North America Predictive Analytics Tools Market

24. USA Predictive Analytics Tools Market

25. Canada Predictive Analytics Tools Market

26. South America Predictive Analytics Tools Market

27. Brazil Predictive Analytics Tools Market

28. Middle East Predictive Analytics Tools Market

29. Africa Predictive Analytics Tools Market

30. Predictive Analytics Tools Market Competitive Landscape And Company Profiles

31. Predictive Analytics Tools Market Other Major And Innovative Companies

32. Global Predictive Analytics Tools Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Predictive Analytics Tools Market

34. Recent Developments In The Predictive Analytics Tools Market

35. Predictive Analytics Tools Market High Potential Countries, Segments and Strategies

36. Appendix

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