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市场调查报告书
商品编码
1776729

2032 年人工智慧市场研究预测：按组件、部署模式、技术、应用、最终用户和地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球市场研究中的人工智慧市场预计在 2025 年达到 46 亿美元，到 2032 年将达到 368 亿美元，预测期内的复合年增长率为 34.2%。

市场研究中的人工智慧 (AI) 是指利用先进的演算法、机器学习和数据分析来收集、处理和解读大量的消费者和市场数据。 AI 透过自动化资料清理、趋势分析和客户细分等任务来增强传统的调查方法，从而实现更快、更准确的洞察。它支援预测分析、情绪分析和自然语言处理，以即时了解消费者的行为和偏好。透过发现隐藏的模式并预测未来趋势，AI 使企业能够做出数据主导的决策，改善定位策略，并在快速发展的市场中保持竞争力。

加速数据分析

更快的数据分析将显着推动人工智慧在市场研究中的应用，因为它能够提供更快的洞察、即时决策和更高的准确性。研究人员可以快速处理大量资料集，即时识别趋势，并更有效地应对市场变化。这种速度可以提高效率、降低成本，并支持敏捷的行销策略。随着企业寻求在更短的周转时间内获得更具可操作性的洞察，人工智慧能够快速提供数据主导的结果，这是推动人工智慧在市场研究产业日益普及的关键驱动力。

资料隐私问题

资料隐私问题对人工智慧在市场研究中的应用产生了重大影响。 CCPA 和 GDPR 等日益严格的法律限制了消费者资料的收集和使用，阻碍了人工智慧产生深度洞察的能力。企业难以在合规性与个人化之间取得平衡，导致数据可用性和准确性下降。消费者的不信任和对数据滥用的担忧进一步削弱了人工智慧驱动的市场研究解决方案的有效性，进一步阻碍了数据共用。

提高准确性

更高的准确性将显着促进人工智慧在市场研究中的应用，因为它能提供更可靠、更可操作的洞察。精确的数据分析将改善客户细分、趋势预测和情绪分析，帮助企业做出更明智的数据主导决策。这种高准确性将减少猜测，提升行销效果，并最大限度地降低营运成本。随着人工智慧模型日益复杂，它们将能够更准确地处理大量资料集，从而提升用户信任度，推动各行各业的采用，扩大人工智慧在市场研究中的整体应用范围和价值。

初期投资高

在市场研究中应用人工智慧技术所需的高昂初始投资是市场成长的主要障碍。中小企业通常无法负担先进的人工智慧工具、基础设施和熟练的专业人员。这种经济障碍限制了对企业获取人工智慧主导的洞察，从而造成了大企业和小企业之间的创新差距。此外，对不确定的投资回报率和长期维护成本的担忧进一步阻碍了企业在其研究业务中采用人工智慧解决方案。

COVID-19的影响

新冠疫情显着加速了人工智慧在市场研究的应用。由于传统调查方法的颠覆，企业纷纷转向人工智慧主导的工具，以获得即时消费者洞察和数位行为分析。向线上平台的转变增加了对自动化资料收集和情绪分析的需求。这种转变凸显了人工智慧在适应快速变化方面的价值，使其成为后疫情时代市场情报策略的重要组成部分。

预计资料收集部分将成为预测期内最大的部分

由于资料收集在数量、准确性和速度方面的提升，资料收集领域预计将在预测期内占据最大的市场占有率。人工智慧工具能够自动跨数位平台收集数据，从而实现即时洞察，同时减少人工工作量。这种效率有助于研究人员更了解消费者趋势和行为。此外，网页抓取、感测器资料整合和社群媒体挖掘等先进技术有助于丰富资料集，最终提高市场研究结果的品质和反应速度。

预计医疗保健产业在预测期内将实现最高复合年增长率

在预测期内，医疗保健产业预计将实现最高成长率，因为它提供大量复杂的资料集，需要先进的分析工具。人工智慧帮助医疗机构即时洞察患者行为、治疗效果和市场趋势。这反过来又推动了医疗产品创新，增强了病患照护策略，并支持基于证据的决策。随着医疗保健提供者和製药公司越来越多地采用人工智慧主导的研究工具，市场研究对人工智慧的需求持续增长，医疗保健已成为该行业的主要成长催化剂。

比最大的地区

预计亚太地区将在预测期内占据最大的市场占有率。这是因为人工智慧能够即时分析不同市场的消费行为，从而改善数据收集并更快地产生洞察。数位化和技术主导企业的发展。

复合年增长率最高的地区：

预计北美地区在预测期内的复合年增长率最高，因为数据主导的洞察产生速度更快，消费行为预测也更准确。先进的人工智慧 (AI) 工具改进了资料收集，实现了繁琐任务的自动化，并揭示了海量资料集中隐藏的模式。北美强大的技术基础设施和人工智慧的广泛应用，使企业能够更好地客製化产品并提高研究效率。这种转变正在透过推动创新，巩固人工智慧在战略市场情报领域的地位。

免费客製化优惠：

订阅此报告的客户可享有以下免费自订选项之一：

  • 公司简介
    • 对最多三家其他市场公司进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 地理细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球市场研究人工智慧市场（按组成部分）

  • 软体
  • 服务

6. 全球人工智慧市场部署模式研究

  • 云端基础
  • 本地

7. 全球人工智慧市场研究（按技术）

  • 机器学习（ML）
  • 自然语言处理（NLP）
  • 电脑视觉
  • 预测分析

第 8 章：全球市场研究人工智慧市场（按应用）

  • 数据收集
  • 数据处理与分析
  • 客户洞察和行为预测
  • 市场趋势分析
  • 竞争资讯
  • 其他用途

9. 全球人工智慧市场终端用户研究

  • 零售与电子商务
  • 卫生保健
  • 银行、金融服务和保险（BFSI）
  • 媒体与娱乐
  • 日常消费品
  • 车
  • 通讯
  • 政府和公共部门
  • 其他最终用户

第十章：全球人工智慧市场区域研究

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司概况

  • 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.