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市场调查报告书
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1776714
客製化研究即服务(RaaS) 市场预测至 2032 年:按服务类型、部署类型、公司规模、最终用户和地区进行的全球分析Customized Research-as-a-Service Market Forecasts to 2032 - Global Analysis By Type of Service, Deployment Mode, Enterprise Size, End User and By Geography |
根据 Stratistics MRC 的数据,全球客製化研究即服务(RaaS) 市场预计在 2025 年达到 5.65 亿美元,到 2032 年将达到 13.292 亿美元,复合年增长率为 13%。
客製化研究解决方案,即客製化研究即服务 (RaaS),允许公司与知识丰富的供应商签订合同,以处理其特定的研究需求。与传统市场研究相比,RaaS 提供扩充性、适应性强且按需提供的洞察,并频繁运用人工智慧和巨量资料分析等最尖端科技。 RaaS 提供跨市场、跨地区和跨行业的可操作情报,以应对特定的业务挑战。客户将获得与其策略目标相符的全面、最新的报告、仪錶板和资料集。该策略透过使用专家主导、以客户为中心且敏捷的研究交付框架,降低了内部研究成本并改善了决策。
对业务效率和扩充性的需求
企业正在寻求更经济、更灵活的研究途径,以降低成本并加快週转时间。他们可以利用 RaaS 获取专家主导的洞察,而无需管理内部调查团队。可扩展平台可让客户根据计划需求调整研究范围,从而确保灵活性并提高资源利用率。在充满活力的市场中,这种模式能够提升竞争优势并促进更快的决策。因此,企业正在迅速采用 RaaS 解决方案来改善业务并交付可量化的成果。
资料安全和隐私合规
CCPA 和 GDPR 是服务提供者必须遵守的两大资料保护法规,增加了营运难度。需要安全的基础设施来管理敏感的客户数据,这增加了成本。跨境资料传输经常受到限制,限制了全球可扩展性。违规削弱客户的信任,并使其面临法律后果。这些挑战阻碍了医疗保健和银行等资料敏感行业的应用。
人工智慧驱动的预测洞察
人工智慧增强的预测洞察使 RaaS 供应商能够更准确地预测消费行为、市场趋势和企业风险。此功能提高了他们根据个人客户目标客製化调查结果的能力。自动化繁琐的分析任务还可以缩短週转时间并降低营运成本。基于预测模型的即时数据驱动策略为企业带来了竞争优势。最终,人工智慧使 RaaS 成为更具影响力、扩充性、反应速度更快的解决方案,以应对不断变化的市场环境。
监管和道德约束
由于法律审查和安全资料处理的需求,监管和道德约束往往会延迟计划启动并增加营运成本。此外,关于知情同意和资料来源的道德问题限制了可以进行的研究类型。 GDPR 等国际法规对跨境资料共用的限制影响了全球可扩展性。此外,缺乏区域一致的道德框架也造成了营运上的模糊性。因此,RaaS 供应商在维护信任的同时,也难以维持法规合规性。
COVID-19的影响
新冠疫情 (COVID-19) 疫情显着影响了客製化研究即服务(RaaS) 市场,加速了各行各业对远端资料驱动决策工具的需求。随着企业面临供应链中断、市场波动和消费行为转变等挑战,对客製化即时洞察的需求也随之飙升。 RaaS 提供者积极应对,提供灵活、经济高效的研究模型,帮助企业应对不确定性。数位转型和远距办公趋势进一步加速了市场成长。然而,早期封锁期间的预算限制最初减缓了 RaaS 的采用,但随着疫情后復苏战略对市场情报的投资增加,RaaS 市场已开始反弹。
预计客製化研究细分市场在预测期内将占最大份额
预计客製化研究领域将在预测期内占据最大的市场占有率,因为它能够提供针对客户需求的客製化洞察,帮助企业精准应对利基市场和独特挑战。这种个人化方法可以增强决策能力,提高客户投资报酬率。行业特定情报需求的不断增长,正在推动客製化研究服务的成长。随着企业追求敏捷性和相关性,客製化研究已成为不断发展的RaaS领域的策略资产。
预计在预测期内,投资和私募股权公司部门将以最高的复合年增长率成长。
预计投资和私募股权公司细分市场将在预测期内呈现最高成长率。这些公司依靠专业研究来评估投资潜力、发现新机会并降低风险。对即时数据主导智慧的需求正在推动RaaS解决方案的采用。此外,RaaS提供者提供的灵活性和特定领域的专业知识与这些公司的策略目标一致。随着金融领域竞争的加剧,投资机构越来越重视客製化研究,以获得竞争优势。
预计亚太地区将在预测期内占据最大市场占有率,这得益于各行各业的数位转型、新兴企业生态系统以及人工智慧分析技术日益普及。中国、印度和日本等国家正在寻求客製化研究解决方案,以支援医疗保健、金融科技和製造业等多个产业。本地企业正在利用多语言平台和产业特定情报进行创新,以提供灵活且经济高效的服务。政府对数据本地化和研发投资的支持进一步推动了市场扩张。随着企业寻求即时且可扩展的洞察,RaaS 在一线和二线城市的采用正在加速。
预计北美将在预测期内见证最高的复合年增长率,这得益于企业对超个人化、数据主导洞察的高需求。随着高科技、製药和金融服务领域的日益普及,该地区正受益于先进的分析基础设施和人工智慧整合平台。领先的公司正在优先考虑预测模型、监管情报和製定打入市场策略。美国凭藉着大量的研究资金和广泛的数位化在市场中占据主导地位。研究公司和财富 500 强公司之间的策略合作伙伴关係正在推动客製化解决方案的交付,而加拿大对双语、针对特定行业的研究成果的需求正在增加。
According to Stratistics MRC, the Global Customized Research-as-a-Service (RaaS) Market is accounted for $565.0 million in 2025 and is expected to reach $1329.2 million by 2032 growing at a CAGR of 13% during the forecast period. A customised research solution approach known as Customised Research-as-a-Service (RaaS) allows businesses to contract with knowledgeable providers to handle certain research requirements. In contrast to conventional market research, RaaS provides scalable, adaptable, and on-demand insights, frequently utilising cutting-edge technology like artificial intelligence and big data analytics. It provides actionable intelligence across markets, geographies, and sectors to address specific business challenges. Customers get comprehensive, up-to-date reports, dashboards, or datasets that are in line with strategic objectives. This strategy uses expert-driven, client-centric, and agile research delivery frameworks to save internal research costs and improve decision-making.
Demand for operational efficiency & scalability
Businesses are looking for more economical, flexible research approaches that cut costs and speed up turnaround. Businesses may obtain expert-driven insights using RaaS without having to worry about managing internal research teams. Scalable platforms guarantee flexibility and improved resource use by enabling clients to modify the scope of research in accordance with project requirements. In dynamic marketplaces, this paradigm improves competitive advantage and facilitates quicker decision-making. RaaS solutions are therefore being quickly adopted by businesses in an effort to improve operations and produce quantifiable results.
Data security & privacy compliance
The CCPA and GDPR are two examples of data protection legislation that service providers must follow, which makes operations more difficult. Higher expenses result from the need for safe infrastructures to manage client-sensitive data. Global scalability is limited by the frequent restrictions on cross-border data transfers. Noncompliance erodes client trust and exposes one to legal repercussions. Adoption is slowed down by these issues in data-sensitive sectors like healthcare and banking.
AI-enhanced predictive insight
AI-enhanced predictive insight makes it possible for RaaS providers to more precisely predict consumer behaviour, market trends, and company dangers. This feature improves the capacity to customise research results to meet the objectives of individual clients. By automating tedious analysis activities, it also lowers turnaround times and operating expenses. Real-time, data-driven tactics based on predictive modelling give businesses a competitive advantage. In the end, AI makes RaaS a more impactful, scalable, and responsive solution for changing market conditions.
Regulatory and ethical constraints
Regulatory and ethical constraints often delay project initiation and increase operational costs due to the need for legal vetting and secure data handling. Further restricting the kinds of study that can be done are ethical issues with consent and data sourcing. Global scalability is impacted by the restrictions placed on cross-border data sharing by international regulations such as GDPR. Furthermore, operational ambiguity results from the absence of regionally consistent ethical frameworks. As a result, RaaS suppliers struggle to uphold legal compliance while preserving trust.
Covid-19 Impact
The Covid-19 pandemic significantly impacted the Customized Research-as-a-Service (RaaS) market by accelerating the demand for remote, data-driven decision-making tools across industries. As organizations faced supply chain disruptions, market volatility, and shifting consumer behaviour, the need for tailored, real-time insights surged. RaaS providers are adapted by offering agile, cost-effective research models, enabling businesses to navigate uncertainty. Digital transformation and remote work trends further fuelled market growth. However, budget constraints during early lockdowns initially slowed adoption, before rebounding with increased investments in market intelligence for post-pandemic recovery strategies.
The custom research segment is expected to be the largest during the forecast period
The custom research segment is expected to account for the largest market share during the forecast period by offering tailored insights specific to client needs. It allows businesses to address niche markets and unique challenges with high precision. This personalized approach enhances decision-making and improves ROI for clients. Increasing demand for industry-specific intelligence fuels the growth of custom research services. As organizations seek agility and relevance, custom research becomes a strategic asset in the evolving RaaS landscape.
The investment & private equity firms segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the investment & private equity firms segment is predicted to witness the highest growth rate by demanding in-depth, tailored insights to support high-stakes decision-making. These firms rely on specialized research to evaluate potential investments, identify emerging opportunities, and mitigate risks. Their need for real-time, data-driven intelligence drives the adoption of RaaS solutions. Additionally, RaaS providers offer flexibility and domain-specific expertise that aligns with the strategic goals of these firms. As competition intensifies in the financial sector, investment entities increasingly prioritize customized research to gain a competitive edge.
During the forecast period, the Asia Pacific region is expected to hold the largest market share driven by digital transformation across industries, a booming startup ecosystem, and increasing adoption of AI-powered analytics. Countries like China, India, and Japan are demanding tailored research solutions to support diverse sectors, including healthcare, fintech, and manufacturing. Local players are innovating with multilingual platforms and sector-specific intelligence, offering agile, cost-efficient services. Government support for data localization and R&D investments further boosts market expansion. As businesses seek real-time, scalable insights, RaaS adoption is accelerating in tier-1 and tier-2 cities.
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR fuelled by high enterprise demand for hyper-personalized, data-driven insights. With strong adoption in the tech, pharmaceutical, and financial services sectors, the region benefits from advanced analytics infrastructure and AI-integrated platforms. Major players emphasize predictive modeling, regulatory intelligence, and market entry strategy development. The U.S. dominates the market due to its vast research funding and widespread digitization. Strategic collaborations between research firms and Fortune 500 companies drive tailored solution offerings, while Canada shows increasing demand for bilingual and sector-specific research outputs.
Key players in the market
Some of the key players profiled in the Customized Research-as-a-Service (RaaS) Market include Science Exchange, IQVIA, Medidata Solutions, Cytel, HFS Research, Nitor Infotech, Forrester Research, MarketsandMarkets, Zion Market Research, Kantar IMRB, Cascade Insights, C+R Research, Civicom, RightMetric, PhDiZone, Frost & Sullivan, GfK and NielsenIQ.
In June 2025, IQVIA introduced advanced AI agents designed to automate core Research-as-a-Service (RaaS) workflows. These agents streamline data ingestion, real-time analytics, and insight generation. The launch highlights IQVIA's strategic focus on enhancing research delivery using cutting-edge AI and machine learning technologies.
In September 2024, Cytel unveiled East Horizon(TM), a cloud-native adaptive design and simulation platform merging East(R)'s methodologies with R integration and AI coding aids. This tool accelerates trial design by harmonizing adaptive workflows and advanced analytics in one scalable environment.
In July 2024, Medidata expanded its partnership with Worldwide Clinical Trials by integrating Medidata AI across clinical studies. This integration enhances data quality, streamlines operational workflows, and supports decentralized trial models through predictive analytics, accelerating research timelines and improving decision-making efficiency.