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市場調查報告書
商品編碼
1776714
客製化研究即服務(RaaS) 市場預測至 2032 年:按服務類型、部署類型、公司規模、最終用戶和地區進行的全球分析Customized Research-as-a-Service Market Forecasts to 2032 - Global Analysis By Type of Service, Deployment Mode, Enterprise Size, End User and By Geography |
根據 Stratistics MRC 的數據,全球客製化研究即服務(RaaS) 市場預計在 2025 年達到 5.65 億美元,到 2032 年將達到 13.292 億美元,複合年成長率為 13%。
客製化研究解決方案,即客製化研究即服務 (RaaS),允許公司與知識豐富的供應商簽訂契約,以處理其特定的研究需求。與傳統市場研究相比,RaaS 提供擴充性、適應性強且按需提供的洞察,並頻繁運用人工智慧和巨量資料分析等最尖端科技。 RaaS 提供跨市場、跨地區和跨行業的可操作情報,以應對特定的業務挑戰。客戶將獲得與其策略目標相符的全面、最新的報告、儀錶板和資料集。該策略透過使用專家主導、以客戶為中心且敏捷的研究交付框架,降低了內部研究成本並改善了決策。
對業務效率和擴充性的需求
企業正在尋求更經濟、更靈活的研究途徑,以降低成本並加快週轉時間。他們可以利用 RaaS 獲取專家主導的洞察,而無需管理內部調查團隊。可擴展平台可讓客戶根據計劃需求調整研究範圍,從而確保靈活性並提高資源利用率。在充滿活力的市場中,這種模式能夠提升競爭優勢並促進更快的決策。因此,企業正在迅速採用 RaaS 解決方案來改善業務並交付可量化的成果。
資料安全和隱私合規
CCPA 和 GDPR 是服務提供者必須遵守的兩大資料保護法規,增加了營運難度。需要安全的基礎設施來管理敏感的客戶數據,這增加了成本。跨境資料傳輸經常受到限制,限制了全球可擴展性。違規削弱客戶的信任,並使其面臨法律後果。這些挑戰阻礙了醫療保健和銀行等資料敏感行業的應用。
人工智慧驅動的預測洞察
人工智慧增強的預測洞察使 RaaS 供應商能夠更準確地預測消費行為、市場趨勢和企業風險。此功能提高了他們根據個人客戶目標客製化調查結果的能力。自動化繁瑣的分析任務還可以縮短週轉時間並降低營運成本。基於預測模型的即時數據驅動策略為企業帶來了競爭優勢。最終,人工智慧使 RaaS 成為更具影響力、擴充性、反應速度更快的解決方案,以應對不斷變化的市場環境。
監管和道德約束
由於法律審查和安全資料處理的需求,監管和道德約束往往會延遲計劃啟動並增加營運成本。此外,關於知情同意和資料來源的道德問題限制了可以進行的研究類型。 GDPR 等國際法規對跨境資料共用的限制影響了全球可擴展性。此外,缺乏區域一致的道德框架也造成了營運上的模糊性。因此,RaaS 供應商在維護信任的同時,也難以維持法規合規性。
COVID-19的影響
新冠疫情 (COVID-19) 疫情顯著影響了客製化研究即服務(RaaS) 市場,加速了各行各業對遠端資料驅動決策工具的需求。隨著企業面臨供應鏈中斷、市場波動和消費行為轉變等挑戰,對客製化即時洞察的需求也隨之飆升。 RaaS 提供者積極應對,提供靈活、經濟高效的研究模型,幫助企業應對不確定性。數位轉型和遠距辦公趨勢進一步加速了市場成長。然而,早期封鎖期間的預算限制最初減緩了 RaaS 的採用,但隨著疫情後復甦戰略對市場情報的投資增加,RaaS 市場已開始反彈。
預計客製化研究細分市場在預測期內將佔最大佔有率
預計客製化研究領域將在預測期內佔據最大的市場佔有率,因為它能夠提供針對客戶需求的客製化洞察,幫助企業精準應對利基市場和獨特挑戰。這種個人化方法可以增強決策能力,提高客戶投資報酬率。行業特定情報需求的不斷成長,正在推動客製化研究服務的成長。隨著企業追求敏捷性和相關性,客製化研究已成為不斷發展的RaaS領域的策略資產。
預計在預測期內,投資和私募股權公司部門將以最高的複合年成長率成長。
預計投資和私募股權公司細分市場將在預測期內呈現最高成長率。這些公司依靠專業研究來評估投資潛力、發現新機會並降低風險。對即時數據主導智慧的需求正在推動RaaS解決方案的採用。此外,RaaS提供者提供的靈活性和特定領域的專業知識與這些公司的策略目標一致。隨著金融領域競爭的加劇,投資機構越來越重視客製化研究,以獲得競爭優勢。
預計亞太地區將在預測期內佔據最大市場佔有率,這得益於各行各業的數位轉型、新興企業生態系統以及人工智慧分析技術日益普及。中國、印度和日本等國家正在尋求客製化研究解決方案,以支援醫療保健、金融科技和製造業等多個產業。本地企業正在利用多語言平台和產業特定情報進行創新,以提供靈活且經濟高效的服務。政府對數據本地化和研發投資的支持進一步推動了市場擴張。隨著企業尋求即時且可擴展的洞察,RaaS 在一線和二線城市的採用正在加速。
預計北美將在預測期內見證最高的複合年成長率,這得益於企業對超個人化、數據主導洞察的高需求。隨著高科技、製藥和金融服務領域的日益普及,該地區正受益於先進的分析基礎設施和人工智慧整合平台。領先的公司正在優先考慮預測模型、監管情報和製定打入市場策略。美國憑藉著大量的研究資金和廣泛的數位化在市場中佔據主導地位。研究公司和財富 500 強公司之間的策略合作夥伴關係正在推動客製化解決方案的交付,而加拿大對雙語、針對特定行業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.