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예측 분석 시장 규모, 점유율, 성장 분석 : 컴포넌트별, 배포 모드별, 조직 규모별, 업종별, 지역별 - 산업 예측(2025-2032년)
Predictive Analytics Market Size, Share, and Growth Analysis, By Component (Solutions, Services), By Deployment Mode (Cloud, On-Premises), By Organization Size, By Vertical, By Region - Industry Forecast 2025-2032
상품코드 : 1690038
리서치사 : SkyQuest Technology Consulting Pvt. Ltd.
발행일 : 2025년 03월
페이지 정보 : 영문 157 Pages
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한글목차

예측 분석 시장 규모는 2023년에 163억 달러에 달하며, 예측 기간(2025-2032년)의 CAGR은 24.2%로, 2024년 202억 4,000만 달러에서 2032년에는 1,146억 3,000만 달러로 성장할 전망입니다.

세계 예측 분석 시장은 예측 툴의 채택 확대, 빅데이터 인프라에 대한 투자, IoT와 AI 기술의 통합에 힘입어 크게 성장하고 있습니다. 그러나 숙련된 IT 전문가 부족과 높은 도입 비용 등의 문제가 시장 확대에 걸림돌이 될 수 있으며, E-Commerce 분야에서는 고객 인식 조사, 타겟팅된 온라인 광고 및 소셜미디어 광고를 통해 고객 경험의 개선이 매출을 증가시키고 있습니다. 또한 방대한 데이터 증가에 따라 예측 분석의 적용 범위는 금융과 인사 분야까지 확대될 것으로 예상됩니다. 다양한 분야의 기업이 영업, 마케팅, 운영, 공급망 관리에서 예측분석을 전략적으로 활용하여 더 높은 효율성과 수익성을 실현하고 있습니다.

목차

서론

조사 방법

개요

시장 역학과 전망

주요 시장 인사이트

예측 분석 시장 규모 : 컴포넌트별 & CAGR(2025-2032)

예측 분석 시장 규모 : 배포 모드별 & CAGR(2025-2032)

예측 분석 시장 규모 : 조직 규모별 & CAGR(2025-2032)

예측 분석 시장 규모 : 업종별 & CAGR(2025-2032)

예측 분석 시장 규모 : 지역별 & CAGR(2025-2032)

경쟁 정보

주요 기업 개요

결론과 제안

KSA
영문 목차

영문목차

Predictive Analytics Market size was valued at USD 16.3 billion in 2023 and is poised to grow from USD 20.24 billion in 2024 to USD 114.63 billion by 2032, growing at a CAGR of 24.2% during the forecast period (2025-2032).

The global predictive analytics market is experiencing significant growth, propelled by the increasing adoption of predictive tools, investments in big data infrastructure, and the integration of IoT and AI technologies. However, challenges such as a shortage of skilled IT professionals and high implementation costs may hinder market expansion. In the eCommerce sector, improved customer experiences are enhancing sales, driven by customer perception research and targeted online and social media advertising. Moreover, the application of predictive analytics is expected to extend into finance and human resources, with the rise of massive data. Businesses across various sectors are benefiting from the strategic use of predictive analytics in sales, marketing, operations, and supply chain management, fostering greater efficiency and profitability.

Top-down and bottom-up approaches were used to estimate and validate the size of the Predictive Analytics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Predictive Analytics Market Segments Analysis

Global Predictive Analytics Market is segmented by Component, Deployment Mode, Organization Size, Vertical and region. Based on Component, the market is segmented into Solutions and Services. Based on Deployment Mode, the market is segmented into Cloud and On-Premises. Based on Organization Size, the market is segmented into Large Enterprises and SmallAndMedium-Sized Enterprises. Based on Vertical, the market is segmented into BFSI, RetailAndEcommerce, Telecom And IT, TransportationAndLogistics, MediaAndEntertainment, Manufacturing, HealthcareAndLife Sciences, TravelAndHospitality, EnergyAndUtilities, GovernmentAndDefense and Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, LatinAmericaand Middle East & Africa.

Driver of the Predictive Analytics Market

The accelerating volume of data generated by companies across various sectors is significantly boosting the demand for predictive analytics. As organizations harness big data to forecast trends, enhance operational efficiency, and make data-driven decisions, the predictive analytics market experiences substantial growth. This trend highlights the critical role that advanced data analysis plays in helping businesses stay competitive and agile in an ever-evolving landscape. By leveraging predictive analytics, companies can gain valuable insights that inform strategic decisions, ultimately leading to improved outcomes and a stronger market position. Thus, the increasing reliance on data-driven approaches is a key driver of this market's expansion.

Restraints in the Predictive Analytics Market

One notable restraint in the predictive analytics market is the considerable initial investment necessary for implementing such solutions. The financial burden associated with acquiring the required technology, integrating systems, and facilitating employee training can pose challenges, particularly for small and medium-sized enterprises (SMEs). These costs may deter potential adopters from leveraging predictive analytics, as they may find it difficult to justify the upfront expenditure. Consequently, the high barrier to entry can limit the growth and widespread adoption of predictive analytics tools among businesses that could benefit from enhanced data-driven decision-making but lack the financial resources to invest in them.

Market Trends of the Predictive Analytics Market

The predictive analytics market is witnessing a significant trend towards the integration of predictive analytics with traditional business intelligence (BI) systems, driven by the demand for a comprehensive and actionable approach to data analysis. This convergence allows organizations to leverage historical data insights alongside advanced predictive modeling, enabling proactive decision-making in dynamic environments. Enhanced accessibility through user-friendly interfaces and sophisticated data visualization tools empowers data analysts and business users alike to interpret integrated insights effectively. As predictive models evolve through continuous learning, organizations benefit from increased accuracy and value, ultimately leading to improved productivity, higher ROI, and a competitive advantage in today's data-centric landscape.

Table of Contents

Introduction

Research Methodology

Executive Summary

Market Dynamics & Outlook

Key Market Insights

Global Predictive Analytics Market Size by Component & CAGR (2025-2032)

Global Predictive Analytics Market Size by Deployment Mode & CAGR (2025-2032)

Global Predictive Analytics Market Size by Organization Size & CAGR (2025-2032)

Global Predictive Analytics Market Size by Vertical & CAGR (2025-2032)

Global Predictive Analytics Market Size & CAGR (2025-2032)

Competitive Intelligence

Key Company Profiles

Conclusion & Recommendations

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