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市場調查報告書
商品編碼
1776729

2032 年人工智慧市場研究預測：按組件、部署模式、技術、應用、最終用戶和地區進行的全球分析

AI in Market Research Market Forecasts to 2032 - Global Analysis By Component (Software and Services), Deployment Mode (Cloud-based and On-premise), Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球市場研究中的人工智慧市場預計在 2025 年達到 46 億美元，到 2032 年將達到 368 億美元，預測期內的複合年成長率為 34.2%。

市場研究中的人工智慧 (AI) 是指利用先進的演算法、機器學習和數據分析來收集、處理和解讀大量的消費者和市場數據。 AI 透過自動化資料清理、趨勢分析和客戶細分等任務來增強傳統的調查方法，從而實現更快、更準確的洞察。它支援預測分析、情緒分析和自然語言處理，以即時了解消費者的行為和偏好。透過發現隱藏的模式並預測未來趨勢，AI 使企業能夠做出數據主導的決策，改善定位策略，並在快速發展的市場中保持競爭力。

加速數據分析

更快的數據分析將顯著推動人工智慧在市場研究中的應用，因為它能夠提供更快的洞察、即時決策和更高的準確性。研究人員可以快速處理大量資料集，即時識別趨勢，並更有效地應對市場變化。這種速度可以提高效率、降低成本，並支持敏捷的行銷策略。隨著企業尋求在更短的周轉時間內獲得更具可操作性的洞察，人工智慧能夠快速提供數據主導的結果，這是推動人工智慧在市場研究產業日益普及的關鍵驅動力。

資料隱私問題

資料隱私問題對人工智慧在市場研究中的應用產生了重大影響。 CCPA 和 GDPR 等日益嚴格的法律限制了消費者資料的收集和使用，阻礙了人工智慧產生深度洞察的能力。企業難以在合規性與個人化之間取得平衡，導致數據可用性和準確性下降。消費者的不信任和對數據濫用的擔憂進一步削弱了人工智慧驅動的市場研究解決方案的有效性，進一步阻礙了數據共用。

提高準確性

更高的準確性將顯著促進人工智慧在市場研究中的應用，因為它能提供更可靠、更可操作的洞察。精確的數據分析將改善客戶細分、趨勢預測和情緒分析，幫助企業做出更明智的數據主導決策。這種高準確性將減少猜測，提升行銷效果，並最大限度地降低營運成本。隨著人工智慧模型日益複雜，它們將能夠更準確地處理大量資料集，從而提升用戶信任度，推動各行各業的採用，擴大人工智慧在市場研究中的整體應用範圍和價值。

初期投資高

在市場研究中應用人工智慧技術所需的高昂初始投資是市場成長的主要障礙。中小企業通常無法負擔先進的人工智慧工具、基礎設施和熟練的專業人員。這種經濟障礙限制了對企業獲取人工智慧主導的洞察，從而造成了大企業和小企業之間的創新差距。此外，對不確定的投資回報率和長期維護成本的擔憂進一步阻礙了企業在其研究業務中採用人工智慧解決方案。

COVID-19的影響

新冠疫情顯著加速了人工智慧在市場研究的應用。由於傳統調查方法的顛覆，企業紛紛轉向人工智慧主導的工具，以獲得即時消費者洞察和數位行為分析。向線上平台的轉變增加了對自動化資料收集和情緒分析的需求。這種轉變凸顯了人工智慧在適應快速變化方面的價值，使其成為後疫情時代市場情報策略的重要組成部分。

預計資料收集部分將成為預測期內最大的部分

由於資料收集在數量、準確性和速度方面的提升，資料收集領域預計將在預測期內佔據最大的市場佔有率。人工智慧工具能夠自動跨數位平台收集數據，從而實現即時洞察，同時減少人工工作量。這種效率有助於研究人員更了解消費者趨勢和行為。此外，網頁抓取、感測器資料整合和社群媒體挖掘等先進技術有助於豐富資料集，最終提高市場研究結果的品質和反應速度。

預計醫療保健產業在預測期內將實現最高複合年成長率

在預測期內，醫療保健產業預計將實現最高成長率，因為它提供大量複雜的資料集，需要先進的分析工具。人工智慧幫助醫療機構即時洞察患者行為、治療效果和市場趨勢。這反過來又推動了醫療產品創新，增強了病患照護策略，並支持基於證據的決策。隨著醫療保健提供者和製藥公司擴大採用人工智慧主導的研究工具，市場研究對人工智慧的需求持續成長，醫療保健已成為該行業的主要成長催化劑。

比最大的地區

預計亞太地區將在預測期內佔據最大的市場佔有率。這是因為人工智慧能夠即時分析不同市場的消費行為，從而改善數據收集並更快地產生洞察。數位化和技術主導企業的發展。

複合年成長率最高的地區：

預計北美地區在預測期內的複合年成長率最高，因為數據主導的洞察產生速度更快，消費行為預測也更準確。先進的人工智慧 (AI) 工具改進了資料收集，實現了繁瑣任務的自動化，並揭示了海量資料集中隱藏的模式。北美強大的技術基礎設施和人工智慧的廣泛應用，使企業能夠更好地客製化產品並提高研究效率。這種轉變正在透過推動創新，鞏固人工智慧在戰略市場情報領域的地位。

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  • 公司簡介
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    • 主要企業的SWOT分析（最多3家公司）
  • 地理細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
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    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球市場研究人工智慧市場（按組成部分）

  • 軟體
  • 服務

6. 全球人工智慧市場部署模式研究

  • 雲端基礎
  • 本地

7. 全球人工智慧市場研究（按技術）

  • 機器學習（ML）
  • 自然語言處理（NLP）
  • 電腦視覺
  • 預測分析

第 8 章：全球市場研究人工智慧市場（按應用）

  • 數據收集
  • 數據處理與分析
  • 客戶洞察和行為預測
  • 市場趨勢分析
  • 競爭資訊
  • 其他用途

9. 全球人工智慧市場終端用戶研究

  • 零售與電子商務
  • 衛生保健
  • 銀行、金融服務和保險（BFSI）
  • 媒體與娛樂
  • 日常消費品
  • 車
  • 通訊
  • 政府和公共部門
  • 其他最終用戶

第10章：全球人工智慧市場區域研究

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • NielsenIQ
  • Ipsos
  • Kantar
  • GfK
  • Dynata
  • Qualtrics（SAP）
  • SurveyMonkey
  • Zappi
  • Black Swan Data
  • Remesh
  • Toluna
  • Statista
  • GrowthLoop
  • Crayon
  • Stravito
  • Market Logic Software
  • GutCheck
  • PredictHQ
Product Code: SMRC30060

According to Stratistics MRC, the Global AI in Market Research Market is accounted for $4.6 billion in 2025 and is expected to reach $36.8 billion by 2032 growing at a CAGR of 34.2% during the forecast period. Artificial Intelligence (AI) in market research refers to the use of advanced algorithms, machine learning, and data analytics to collect, process, and interpret large volumes of consumer and market data. AI enhances traditional research methods by automating tasks such as data cleaning, trend analysis, and customer segmentation, enabling faster and more accurate insights. It supports predictive analytics, sentiment analysis, and natural language processing to understand consumer behavior and preferences in real time. By uncovering hidden patterns and forecasting future trends, AI empowers businesses to make data-driven decisions, improve targeting strategies, and stay competitive in rapidly evolving markets.

Market Dynamics:

Driver:

Faster Data Analysis

Faster data analysis significantly boosts the AI in Market Research market by enabling quicker insights, real-time decision-making, and enhanced accuracy. It allows researchers to process vast datasets rapidly, identify trends instantly, and respond to market changes more effectively. This speed improves efficiency, reduces costs, and supports agile marketing strategies. As companies demand more actionable insights with shorter turnaround times, the ability of AI to deliver fast, data-driven results becomes a key driver for its growing adoption in the market research industry.

Restraint:

Data Privacy Concerns

Data privacy concerns have a big impact on AI adoption in the market research business. AI's capacity to produce profound insights is hampered by stricter laws like the CCPA and GDPR, which restrict the gathering and use of consumer data. Businesses struggle to strike a balance between compliance and personalization, which lowers the availability and accuracy of data. The efficacy of AI-driven market research solutions is further undermined by consumer mistrust and anxiety about data misuse, which further inhibit data sharing.

Opportunity:

Enhanced Accuracy

Enhanced accuracy significantly boosts the AI in market research market by delivering more reliable and actionable insights. Accurate data analysis improves customer segmentation, trend prediction, and sentiment analysis, enabling businesses to make smarter, data-driven decisions. This precision reduces guesswork, enhances marketing effectiveness, and minimizes operational costs. As AI models become more refined, their ability to process vast datasets with high accuracy strengthens confidence among users, thereby driving adoption across industries and expanding the overall scope and value of AI in market research.

Threat:

High Initial Investment

The high initial investment required for implementing AI technologies in market research significantly hinders market growth. Small and medium-sized enterprises often struggle to afford advanced AI tools, infrastructure, and skilled professionals. This financial barrier limits access to AI-driven insights, creating a disparity in innovation between large and smaller firms. Additionally, concerns over uncertain ROI and long-term maintenance costs further discourage businesses from adopting AI solutions in their research operations.

Covid-19 Impact

The Covid-19 pandemic significantly accelerated the adoption of AI in the market research market. With traditional research methods disrupted, businesses turned to AI-driven tools for real-time consumer insights and digital behavior analysis. The shift to online platforms increased the demand for automated data collection and sentiment analysis. This transformation highlighted the value of AI in adapting to rapid changes, making it an essential component in post-pandemic market intelligence strategies.

The data collection segment is expected to be the largest during the forecast period

The data collection segment is expected to account for the largest market share during the forecast period as it enhances the volume, accuracy, and speed of data gathering from diverse sources. AI-powered tools automate data collection across digital platforms, enabling real-time insights and reducing manual efforts. This efficiency allows researchers to uncover consumer trends and behaviors more precisely. Moreover, advanced techniques like web scraping, sensor data integration, and social media mining contribute to richer datasets, ultimately improving the quality and responsiveness of market research outcomes.

The healthcare segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare segment is predicted to witness the highest growth rate as it offers vast, complex datasets that necessitate advanced analytical tools. AI helps healthcare organizations gain real-time insights into patient behavior, treatment effectiveness, and market trends. This fuels innovation in medical products, enhances patient care strategies, and supports evidence-based decision-making. As healthcare providers and pharmaceutical companies increasingly adopt AI-driven research tools, the demand for AI in market research continues to grow, solidifying healthcare as a key growth catalyst in this domain.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share because AI makes it possible to analyze consumer behavior in real time across a variety of marketplaces, improves data collection, and speeds up the creation of insights. Market researchers in the area are now able to provide more precise, predictive, and useful knowledge due to the region's fast digitization, rising internet usage, and expanding use of AI tools by companies. Better strategic choices are made, competitiveness is increased, and the region's growing consumer and tech-driven businesses are supported.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, because of quicker, data-driven insights and more precise forecasts of consumer behavior. Sophisticated artificial intelligence (AI) tools improve data collecting, automate tedious operations, and reveal hidden patterns in large datasets, all of which help organizations make better decisions. Companies can better customize offers and boost research efficiency due to North America's robust tech infrastructure and widespread usage of AI. This change is strengthening AI's place in strategic market intelligence by fostering innovation.

Key players in the market

Some of the key players profiled in the AI in Market Research Market include NielsenIQ, Ipsos, Kantar, GfK, Dynata, Qualtrics (SAP), SurveyMonkey, Zappi, Black Swan Data, Remesh, Toluna, Statista, GrowthLoop, Crayon, Stravito, Market Logic Software, GutCheck and PredictHQ.

Key Developments:

In June 2025, Crayon has significantly deepened its strategic partnership with Google Cloud by extending its distributor role to the mid-market segment, emphasizing AI-driven solutions. Through this expanded collaboration, Crayon empowers its extensive channel network and partners with streamlined access to Google Cloud's portfolio, specialized support, enablement programs, and simplified billing and management.

In June 2025, NielsenIQ and Sephora have entered a strategic, multi year data sharing partnership designed to deepen insights into North America's beauty market. The agreement grants NielsenIQ access to expansive point of sale data from Sephora's omni channel operations-spanning stores, e commerce, and social channels-while Sephora gains access to NielsenIQ's powerful Omnishopper and Digital Purchases platforms.

In May 2025, NielsenIQ and VusionGroup have forged a multi-national strategic alliance to revolutionize physical retail by combining their strengths in consumer intelligence and IoT-driven smart labeling, powered by advanced AI.

Components Covered:

  • Software
  • Services

Deployment Modes Covered:

  • Cloud-based
  • On-premise

Technologies Covered:

  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Computer Vision
  • Predictive Analytics

Applications Covered:

  • Data Collection
  • Data Processing & Analysis
  • Customer Insights & Behavior Prediction
  • Market Trend Analysis
  • Competitive Intelligence
  • Other Applications

End Users Covered:

  • Retail & E-commerce
  • Healthcare
  • Banking, Financial Services, and Insurance (BFSI)
  • Media & Entertainment
  • Fast-Moving Consumer Goods
  • Automotive
  • Telecommunications
  • Government & Public Sector
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI in Market Research Market, By Component

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Services

6 Global AI in Market Research Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud-based
  • 6.3 On-premise

7 Global AI in Market Research Market, By Technology

  • 7.1 Introduction
  • 7.2 Machine Learning (ML)
  • 7.3 Natural Language Processing (NLP)
  • 7.4 Computer Vision
  • 7.5 Predictive Analytics

8 Global AI in Market Research Market, By Application

  • 8.1 Introduction
  • 8.2 Data Collection
  • 8.3 Data Processing & Analysis
  • 8.4 Customer Insights & Behavior Prediction
  • 8.5 Market Trend Analysis
  • 8.6 Competitive Intelligence
  • 8.7 Other Applications

9 Global AI in Market Research Market, By End User

  • 9.1 Introduction
  • 9.2 Retail & E-commerce
  • 9.3 Healthcare
  • 9.4 Banking, Financial Services, and Insurance (BFSI)
  • 9.5 Media & Entertainment
  • 9.6 Fast-Moving Consumer Goods
  • 9.7 Automotive
  • 9.8 Telecommunications
  • 9.9 Government & Public Sector
  • 9.10 Other End Users

10 Global AI in Market Research Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 NielsenIQ
  • 12.2 Ipsos
  • 12.3 Kantar
  • 12.4 GfK
  • 12.5 Dynata
  • 12.6 Qualtrics (SAP)
  • 12.7 SurveyMonkey
  • 12.8 Zappi
  • 12.9 Black Swan Data
  • 12.10 Remesh
  • 12.11 Toluna
  • 12.12 Statista
  • 12.13 GrowthLoop
  • 12.14 Crayon
  • 12.15 Stravito
  • 12.16 Market Logic Software
  • 12.17 GutCheck
  • 12.18 PredictHQ

List of Tables

  • Table 1 Global AI in Market Research Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI in Market Research Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI in Market Research Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global AI in Market Research Market Outlook, By Services (2024-2032) ($MN)
  • Table 5 Global AI in Market Research Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 6 Global AI in Market Research Market Outlook, By Cloud-based (2024-2032) ($MN)
  • Table 7 Global AI in Market Research Market Outlook, By On-premise (2024-2032) ($MN)
  • Table 8 Global AI in Market Research Market Outlook, By Technology (2024-2032) ($MN)
  • Table 9 Global AI in Market Research Market Outlook, By Machine Learning (ML) (2024-2032) ($MN)
  • Table 10 Global AI in Market Research Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 11 Global AI in Market Research Market Outlook, By Computer Vision (2024-2032) ($MN)
  • Table 12 Global AI in Market Research Market Outlook, By Predictive Analytics (2024-2032) ($MN)
  • Table 13 Global AI in Market Research Market Outlook, By Application (2024-2032) ($MN)
  • Table 14 Global AI in Market Research Market Outlook, By Data Collection (2024-2032) ($MN)
  • Table 15 Global AI in Market Research Market Outlook, By Data Processing & Analysis (2024-2032) ($MN)
  • Table 16 Global AI in Market Research Market Outlook, By Customer Insights & Behavior Prediction (2024-2032) ($MN)
  • Table 17 Global AI in Market Research Market Outlook, By Market Trend Analysis (2024-2032) ($MN)
  • Table 18 Global AI in Market Research Market Outlook, By Competitive Intelligence (2024-2032) ($MN)
  • Table 19 Global AI in Market Research Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 20 Global AI in Market Research Market Outlook, By End User (2024-2032) ($MN)
  • Table 21 Global AI in Market Research Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 22 Global AI in Market Research Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 23 Global AI in Market Research Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2024-2032) ($MN)
  • Table 24 Global AI in Market Research Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 25 Global AI in Market Research Market Outlook, By Fast-Moving Consumer Goods (2024-2032) ($MN)
  • Table 26 Global AI in Market Research Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 27 Global AI in Market Research Market Outlook, By Telecommunications (2024-2032) ($MN)
  • Table 28 Global AI in Market Research Market Outlook, By Government & Public Sector (2024-2032) ($MN)
  • Table 29 Global AI in Market Research Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.