세계의 고객 의도 예측 시장 보고서(2025년)
Customer Intent Prediction Global Market Report 2025
상품코드 : 1888196
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

고객 의도 예측 시장 규모는 최근 몇 년 동안 비약적으로 확대되고 있습니다. 2024년의 28억 9,000만 달러에서 2025년에는 36억 3,000만 달러로 성장하고, CAGR26.0%를 나타낼 것으로 전망되고 있습니다. 지난 몇 년간의 성장은 개인화된 경험에 대한 소비자 수요 증가, 전자상거래 및 D2C 채널 확대, 타사 쿠키에서 동의에 근거한 첫 번째 데이터로의 전환, 구독 및 지속적인 수익 모델 채용 증가, 전환율 및 고객 유지율 향상을 위한 경쟁 압력으로 인한 것으로 예측됩니다.

고객 의도 예측 시장 규모는 향후 수년간 급격한 성장이 예상됩니다. 2029년에는 90억 4,000만 달러에 달하고, CAGR은 25.6%를 나타낼 전망입니다. 예측 기간의 성장 요인으로는 커스터마이즈된 상호작용에 대한 소비자 기대 증가, 마케팅 투자 수익률(ROI) 향상의 압력 증가, 프라이버시 준수 데이터 수집 및 동의 관리에 대한 주력 강화, 로열티 프로그램과 표명된 선호 포착 활용 확대, 디지털 채널 전반의 고객 획득 비용 상승 등이 있습니다. 예측 기간의 주요 동향으로는 행동 이벤트 예측을 위한 트랜스포머 기반의 시퀀싱 모델링, 마케터 및 분석가의 워크플로우에 대한 검색 확장 생성(Retrieval-Augmented Generation), 오퍼나 메시지 최적화를 위한 휴먼 피드백에 기초한 강화 학습, 프라이버시 보호 예측을 위한 페더레이티드 학습과 온 디바이스 추론, 모델 트레이닝

개인화된 고객 경험에 대한 필요성 증가는 앞으로 고객 의도 예측 시장의 성장을 이끌 것으로 예측됩니다. 개인화된 고객 경험은 개별 고객의 고유한 취향, 행동 및 요구에 맞게 상호작용, 제품, 서비스 및 커뮤니케이션을 조정하는 것을 의미합니다. 이러한 증가 요구는 개인의 취향과 행동에 따른 상호작용, 제품 및 서비스에 대한 소비자의 기대감이 높아짐에 따라 촉진되고 있습니다. 고객 의도 예측은 고객이 다음에 무엇을 할 것인지, 무엇을 구매할 것인지, 무엇을 필요로 하는지에 대한 인사이트를 제공함으로써 개인화된 경험을 가능하게 하고, 기업이 요구를 예측하고 관련 추천을 제공할 수 있도록 합니다. 예를 들어 오스트리아에 본사를 둔 B2C 마케팅 개인화 플랫폼 'Sap Emarsys'의 2024년 4월 조사에 따르면 미국 소비자의 64%가 인공지능(AI)이 소매 체험을 향상시켰다고 응답했으며 2023년에 비해 긍정적인 평가가 25% 증가했습니다. 따라서 개인화된 고객 경험에 대한 수요가 증가함에 따라 고객 의도 예측 시장의 성장이 추진되고 있습니다.

고객 의도 예측 시장에서 활동하는 주요 기업은 실시간 컨텍스트 AI 등의 디지털 기술을 채용하고 있습니다. 이를 통해 기업은 고객 신호를 즉시 포착하고 의도를 보다 정확하게 해석하며 개인화된 자율적 액션을 트리거할 수 있습니다. 실시간 컨텍스트 AI는 데이터와 고객 신호를 즉시 처리하고, 주변 상황을 이해하고, 지연 없이 실행 가능한 인사이트와 자동 응답을 생성할 수 있는 AI 시스템을 말합니다. 예를 들어, 2025년 10월에는 미국 기술 기업 테라데이터사가 자율형 고객 인텔리전스를 발표했습니다. 이 솔루션은 데이터 생성에서 신호 감지, 컨텍스트 이해, 시스템 교차 자동 응답에 이르는 고객 경험 전체에 AI를 적용하여 원시 데이터와 고객 신호를 실시간으로 실용적인 지식으로 변환합니다. 테라데이터사의 40년에 걸친 지적재산과 업계인사이트를 활용하여 조직이 입증된 전문지식을 기업규모로 도입할 수 있게 합니다.

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

Customer intent prediction involves leveraging historical and real-time customer data, including pages viewed, clicks, searches, purchases, messages, and context, to estimate the probability that a customer will take a specific action such as purchasing, subscribing, or discontinuing use. Its objective is to enable organizations to anticipate customer needs and act proactively by personalizing offers and messages, prioritizing sales and support activities, enhancing conversion and retention, and minimizing wasted marketing expenditure.

The key components of customer intent prediction are software and services. Customer intent prediction software is an AI-driven analytical solution that utilizes machine learning, behavioral data, and real-time signals to predict a customer's likelihood of taking specific actions such as purchasing, subscribing, or engaging, allowing businesses to provide more targeted and personalized experiences. These solutions are deployed through various deployment modes such as cloud and on-premises. They cater to various enterprise sizes, including small and medium enterprises and large enterprises, and are applied across industries such as e-commerce, healthcare, telecommunications, travel and hospitality, and others.

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 customer intent prediction market research report is one of a series of new reports from The Business Research Company that provides customer intent prediction market statistics, including customer intent prediction industry global market size, regional shares, competitors with the customer intent prediction market share, customer intent prediction market segments, market trends, and opportunities, and any further data you may need to thrive in the customer intent prediction industry. This customer intent prediction 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 customer intent prediction market size has grown exponentially in recent years. It will grow from $2.89 billion in 2024 to $3.63 billion in 2025 at a compound annual growth rate (CAGR) of 26.0%. The growth in the historic period can be attributed to increasing consumer demand for personalized experiences, expansion of e-commerce and direct-to-consumer channels, transition from third-party cookies to consented first-party data, rising adoption of subscription and recurring revenue models, and competitive pressure to enhance conversion and retention.

The customer intent prediction market size is expected to see exponential growth in the next few years. It will grow to $9.04 billion in 2029 at a compound annual growth rate (CAGR) of 25.6%. The growth in the forecast period can be attributed to rising consumer expectations for tailored interactions, growing pressure to improve return on marketing investment, increased focus on privacy-compliant data collection and consent management, expanding use of loyalty programs and declared preference capture, and rising customer acquisition costs across digital channels. Key trends in the forecast period include transformer-based sequence modeling for behavioral event prediction, retrieval-augmented generation for marketer and analyst workflows, reinforcement learning from human feedback for offer and message optimization, federated learning and on-device inference for privacy-preserving prediction, and differential privacy and synthetic data generation for model training.

The increasing need for personalized customer experiences is expected to drive the growth of the customer intent prediction market going forward. Personalized customer experiences involve tailoring interactions, products, services, and communications to meet the unique preferences, behaviors, and needs of individual customers. This growing need is fueled by rising consumer expectations for interactions, products, and services that align with their personal preferences and behaviors. Customer intent prediction enables personalized experiences by providing insights into what a customer is likely to do, buy, or require next, allowing businesses to anticipate needs and deliver relevant recommendations. For instance, in April 2024, according to Sap Emarsys, an Austria-based B2C marketing personalization platform, 64% of US shoppers reported that artificial intelligence (AI) improved their retail experiences, marking a 25% increase in positive sentiment compared to 2023. Therefore, the rising demand for personalized customer experiences is propelling the customer intent prediction market.

Key companies operating in the customer intent prediction market are adopting digital technologies such as real-time contextual artificial intelligence (AI), which enables enterprises to capture customer signals instantly, interpret intent with higher accuracy, and trigger personalized, autonomous actions. Real-time contextual AI refers to AI systems capable of processing data and customer signals immediately, understanding the surrounding context, and generating actionable insights or automated responses without delay. For instance, in October 2025, Teradata Corporation, a US-based technology company, launched autonomous customer intelligence. This solution transforms raw data and customer signals into actionable insights in real time, applying AI throughout the entire customer experience, from generating data products to detecting signals, understanding context, and automatically responding across systems. Leveraging four decades of Teradata IP and industry knowledge, it enables organizations to implement proven expertise at enterprise scale.

In December 2023, HubSpot, a US-based customer relationship management and customer platform company, acquired Clearbit for an undisclosed amount. Through this acquisition, HubSpot aims to integrate Clearbit's data enrichment, web traffic intelligence, and real-time buyer-intent signal capabilities directly into its platform. This enables teams to score and segment accounts, trigger context-aware journeys, personalize experiences, and convert high-propensity leads faster across the customer lifecycle at enterprise scale. Clearbit is a US-based B2B data enrichment and buyer-intent signals provider.

Major players in the customer intent prediction market are Google LLC, Microsoft Corporation, Meta Platforms Inc. , Amazon Web Services (AWS), IBM Corporation, Oracle Corporation, SAP SE, Salesforce Inc., Adobe Inc., HCL Technologies, NICE Ltd., HubSpot, Inc., Teradata Corporation, Pegasystems Inc., Verint Systems Inc., Freshworks Inc., Braze, Coveo Solutions Inc., Iterable, SAS Institute Inc.

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

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

The customer intent prediction market consists of revenues earned by entities by providing services such as model development and customization, data engineering and feature creation, system integration with customer relationship management (crm) and marketing automation, managed model monitoring and machine learning operations (mlops), and analytics consulting and training. The market value includes the value of related goods sold by the service provider or included within the service offering. The customer intent prediction market also includes sales of products such as predictive analytics software suites, real-time intent-scoring engines, customer data platforms with intent modules, software development kits and application programming interfaces for intent detection, and pre-trained intent data sets. 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.

Customer Intent Prediction 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 customer intent prediction 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 customer intent prediction ? 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 customer intent prediction 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. Customer Intent Prediction Market Characteristics

3. Customer Intent Prediction Market Trends And Strategies

4. Customer Intent Prediction 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 Customer Intent Prediction Growth Analysis And Strategic Analysis Framework

6. Customer Intent Prediction Market Segmentation

7. Customer Intent Prediction Market Regional And Country Analysis

8. Asia-Pacific Customer Intent Prediction Market

9. China Customer Intent Prediction Market

10. India Customer Intent Prediction Market

11. Japan Customer Intent Prediction Market

12. Australia Customer Intent Prediction Market

13. Indonesia Customer Intent Prediction Market

14. South Korea Customer Intent Prediction Market

15. Western Europe Customer Intent Prediction Market

16. UK Customer Intent Prediction Market

17. Germany Customer Intent Prediction Market

18. France Customer Intent Prediction Market

19. Italy Customer Intent Prediction Market

20. Spain Customer Intent Prediction Market

21. Eastern Europe Customer Intent Prediction Market

22. Russia Customer Intent Prediction Market

23. North America Customer Intent Prediction Market

24. USA Customer Intent Prediction Market

25. Canada Customer Intent Prediction Market

26. South America Customer Intent Prediction Market

27. Brazil Customer Intent Prediction Market

28. Middle East Customer Intent Prediction Market

29. Africa Customer Intent Prediction Market

30. Customer Intent Prediction Market Competitive Landscape And Company Profiles

31. Customer Intent Prediction Market Other Major And Innovative Companies

32. Global Customer Intent Prediction Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Customer Intent Prediction Market

34. Recent Developments In The Customer Intent Prediction Market

35. Customer Intent Prediction Market High Potential Countries, Segments and Strategies

36. Appendix

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