세계 데이터 분석 아웃소싱 시장 규모는 2024년 143억 9,000만 달러에 달했습니다. 향후 IMARC Group은 이 시장이 2033년까지 1,313억 2,000만 달러에 달할 것으로 예상하며, 2025-2033년까지 25.06%의 CAGR을 기록할 것으로 전망하고 있습니다. 현재 시장을 독점하고 있는 곳은 북미 지역으로, 2024년에는 42.0% 이상의 큰 시장 점유율을 차지했습니다. 시장 성장에는 여러 가지 요인이 있지만, 의사결정 강화에 대한 수요 증가, 금융 부문의 번영, 주요 기업 간의 제휴, 다양한 산업에서 확장성과 유연성이 뛰어난 솔루션에 대한 관심 증가 등을 꼽을 수 있습니다. 이러한 요인들이 종합적으로 작용하여 전 세계 데이터 분석 아웃소싱 시장 점유율을 확대하고 있습니다.
데이터 분석 아웃소싱 시장의 주요 촉진요인은 데이터 기반 의사결정, 비용 효율성, 고급 분석 전문 지식에 대한 수요 증가입니다. 기업들은 대량의 비정형 데이터를 처리하고, 사내 인프라에 많은 투자를 하지 않고도 실용적인 인사이트를 추출할 수 있는 솔루션을 아웃소싱하고자 합니다. 인공지능(AI)과 머신러닝(ML) 기술의 보급으로 데이터 분석 아웃소싱 시장의 수요가 더욱 증가하고 있습니다. 헬스케어 부문은 BFSI 및 소매업과 함께 원활한 운영과 고객 경험을 위해 아웃소싱에 대한 의존도를 높이고 있습니다. 예를 들어, 2024년 12월 One Point One Solutions Ltd.는 인도에서 고객 경험 솔루션을 강화하기 위해 세계 데이터 분석 회사와의 제휴를 발표했습니다. 이번 제휴는 정교한 컨택센터 서비스와 자동화된 불만 관리 시스템을 활용하여 옴니채널 인게이지먼트 향상을 목표로 하고 있으며, 이를 통해 고객 인게이지먼트 혁신의 최전선에 서게 될 것입니다.
미국 데이터 분석 아웃소싱 시장 성장의 주요 원동력은 대규모 데이터세트를 처리하고 분석할 수 있는 비용 효율적인 솔루션에 대한 요구가 증가함에 따라 많은 산업 분야에서 기업들이 데이터 기반 의사결정을 내릴 수 있게 되었다는 점입니다. AI, 머신러닝, 빅데이터 툴과 같은 첨단 기술의 도입으로 분석 전문 지식에 대한 수요가 더욱 증가하고 있습니다. 헬스케어, 리테일, 금융 등의 산업은 업무 효율화, 고객 경험 최적화, 변화하는 디지털 환경에서의 경쟁력 유지를 위해 아웃소싱에 의존하고 있습니다. 이에 따라 헬스케어 카탈리스트는 2025년 1월 헬스케어 데이터 공유 및 분석을 더욱 강화하기 위해 데이터브릭스(DataBricks)와의 제휴를 발표했습니다. Databricks의 Delta Sharing과 Health Catalyst의 Ignite(TM) 플랫폼을 활용하는 이번 제휴는 헬스케어 데이터를 플랫폼 간에 안전하게 통합하는 데 중점을 두고 있으며, 헬스케어 고유의 과제를 해결하고 더 빠른 인사이트뿐만 아니라 인사이트뿐만 아니라 조직의 업무 효율성 향상을 가져옵니다. 규제 준수에 대한 관심도 시장 성장을 촉진하고 있습니다.
의사결정 강화에 대한 니즈 증가
Accenture와 Salesforce는 2023년 11월 6일, AI와 데이터를 활용한 새로운 기능, 리소스, 액셀러레이터를 포함한 Salesforce Life Sciences Cloud를 개발하기 위해 투자했습니다. 양사는 Salesforce Life Sciences Cloud의 새로운 솔루션과 사용 사례를 개발하기 위해 공동 개발한 생성형 AI 가속 허브를 활용했습니다. 업계 보고서에 따르면, 응답자의 60%가 현재 적어도 한 부문에서 생성형 AI를 정기적으로 활용하고 있다고 답했으며, 이는 2023년 3분의 1에서 증가한 수치입니다. 이를 통해 데이터 및 분석 기능의 배포를 가속화하고, 의사결정 및 운영을 지원하는 데 도움이 됩니다. 또한, 기업은 신속하고 정확한 의사결정을 필요로 하는 복잡한 문제에 직면해 있습니다. 데이터 분석이 제공하는 인사이트는 기업이 이러한 장애물을 극복하는 데 도움이 됩니다. 전문 공급업체에 아웃소싱을 의뢰하면 의사결정을 개선하는 데 도움이 되는 우수한 분석에 대한 접근이 보장됩니다. 기업들은 경쟁에서 살아남기 위해 실시간 고려가 필요합니다. 아웃소싱 데이터 분석 서비스에는 실시간 데이터 처리 및 분석이 포함되며, 기업이 시장의 변화와 새로운 트렌드에 신속하게 대응할 수 있도록 적시에 인사이트를 제공하는 데 도움이 됩니다.
금융산업의 번영
금융 부문의 번영은 주요 데이터 분석 아웃소싱 시장 동향 중 하나입니다. 이에 따라 2023년 6월 29일, Moody's Corporation과 Microsoft는 금융 서비스 및 전 세계 지식 근로자에게 차세대 데이터, 분석, 연구, 협업 및 리스크 솔루션을 제공하기 위한 새로운 전략적 제휴를 체결하였습니다. 업계 보고서에 따르면, 전 세계 은행은 7조 달러의 수익과 1조 1,000억 달러의 순이익을 창출하고 있습니다. Microsoft Azure OpenAI 서비스와 Moody's의 광범위한 데이터 및 분석 기술을 결합하여 리스크 평가 및 기업 인텔리전스를 향상시키는 최첨단 솔루션을 제공합니다. 또한 은행 산업은 규제가 엄격하고 기업은 광범위한 규칙과 규정을 준수해야 합니다. 금융기관은 데이터 분석 아웃소싱을 통해 컴플라이언스를 관리하고 여러 법률과 기준에 대한 적합성을 확보할 수 있습니다. 이와는 별도로, 이들 조직은 예측 분석과 고급 위험 관리 모델을 사용하여 위험을 인식하고 관리하는 능력을 향상시키고 있습니다.
주요 기업 간 협업
2023년 10월 18일, 차세대 디지털 서비스 및 컨설팅 분야의 세계 리더인 인포시스(Infosys)는 구글 클라우드(Google Cloud)와의 파트너십을 확대하고, 구글 클라우드의 생성형 AI 솔루션과 인포시스 토파즈(Infosys Topaz)의 서비스를 활용하여 AI를 활용한 AI를 활용한 경험 창출을 지원한다고 밝혔습니다. 인포시스는 구글 클라우드에서 데이터, 분석, AI에 대한 현재의 지식을 확장할 수 있습니다. 인포시스와 구글 클라우드는 다양한 비즈니스 시나리오에 대응하는 일련의 산업 솔루션과 혁신적인 AI 플랫폼을 제공하기 위해 협력했습니다. 또한, 파트너십을 통해 기업들은 각자의 자원과 전문성을 결합하여 데이터 분석 제공을 향상시킬 수 있습니다. 데이터 분석 기업과 클라우드 서비스 제공업체의 파트너십은 강력한 클라우드 인프라에서 호스팅되는 고급 분석 기능을 포함한 통합 솔루션을 제공할 수 있습니다. 또한, 이번 제휴를 통해 최첨단 기술에 대한 접근이 용이해져 데이터 분석 아웃소싱 시장의 전망이 더욱 밝아질 것으로 기대됩니다.
Fractal Analytics, Inc., Helmes, Flatworld Solutions, Inc, Future Processing, Course5 Intelligence, Qsutra, Genpact, Accenture, ZS Associates, Inc., WNS(Holdings) Ltd. 및 기타 기업이 제공하는 서비스를 포함합니다. 기업은 아웃소싱 업체가 제공하는 정보를 분석하는 서비스 제공업체에 의뢰하여 데이터 분석 아웃소싱을 이용하고 있습니다. 데이터 분석 업무를 분석 애플리케이션과 함께 외부 업체에 위탁하는 것이 데이터 분석 아웃소싱을 구성하고 있습니다. 시장 확대는 인공지능(AI), 빅데이터, 커넥티드 디바이스 리포지토리와 함께 로봇 프로세스 자동화(RPA)에 대한 수요 증가에 힘입은 것입니다.
The global data analytics outsourcing market size was valued at USD 14.39 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 131.32 Billion by 2033, exhibiting a CAGR of 25.06% during 2025-2033. North America currently dominates the market, holding a significant market share of over 42.0% in 2024. There are several factors that are driving the market toward growth, which include the rising need for enhanced decision-making, the thriving finance sector, collaborations between key players, and an enhanced focus on scalable and flexible solutions in various industries. These factors, collectively, are increasing the overall data analytics outsourcing market share across the globe.
The key drivers in the data analytics outsourcing market are the rising demand for data-driven decision-making, cost efficiency, and access to advanced analytics expertise. Organizations are seeking to outsource solutions for processing large volumes of unstructured data and extracting actionable insights without heavy investment in in-house infrastructure. The widespread application of artificial intelligence (AI) and machine learning (ML) technologies further drives the data analytics outsourcing market demand. The healthcare sector, along with BFSI and retail, are increasingly relying on this outsourcing to get customer experience as well as seamless operations. In December 2024, for example, One Point One Solutions Ltd. announced its partnership with a global data analytics firm to boost customer experience solutions in India. The alliance is looking to increase omnichannel engagement, using sophisticated contact center services and an automated complaint management system that will position the company at the forefront of customer engagement innovations.
The main drivers for the data analytics outsourcing market growth in the United States include an increased need for cost-effective solutions to process and analyze large data sets, allowing firms to make data-driven decisions in numerous industries. The adoption of advanced technologies such as AI, machine learning, and big data tools has further amplified the growing demand for specialized analytics expertise. Industries that include healthcare, retail, and finance depend on outsourcing to boost the efficiency of their operations, optimize the customer experience, and maintain competitiveness in an ever-changing digital environment. In line with this, in January 2025, Health Catalyst announced its partnership with Databricks to further enhance healthcare data sharing and analytics. Utilizing Databricks' Delta Sharing and Health Catalyst's Ignite(TM) platform the collaboration focuses on securely integrating healthcare data across platforms, bringing about not only faster insights but better operational efficiency for organizations while addressing unique healthcare challenges. Focus on regulatory compliance fuels market growth as well.
Rising Need for Enhanced Decision-Making
Accenture and Salesforce made investments on November 6, 2023, to develop the Salesforce Life Sciences Cloud, which includes new features, resources, and accelerators driven by AI and data. The companies leveraged their joint generative AI acceleration hub to develop new solutions and use cases for Salesforce Life Sciences Cloud. Industry reports indicate that 60% of respondents state their organizations now regularly utilize generative AI in at least one business function, up from one-third in 2023. This assists in accelerating the deployment of data and analytics capabilities and support decision-making and operations. Moreover, companies face complex challenges that require quick and accurate decision-making. The insights provided by data analytics help firms overcome these obstacles. Relying on specialized suppliers for outsourcing guarantees access to superior analytics that facilitate improved decision-making. Organizations require real time insights to stay competitive. Outsourced data analytics services include real time data processing and analysis that are beneficial in providing timely insights that help businesses react quickly to market changes and emerging trends.
Thriving Finance Sector
The thriving finance sector represents one of the key data analytics outsourcing market trends. In line with this, on 29 June 2023, Moody's Corporation and Microsoft established a new strategic alliance on June 29, 2023, to provide financial services and global knowledge workers with next-generation data, analytics, research, collaboration, and risk solutions. According to industry reports, globally, banks generated USD 7 Trillion in revenue and USD 1.1 Trillion in net income. Microsoft Azure OpenAI Service in partnership with Moody's extensive data and analytical skills produces cutting-edge solutions that improve risk assessment and corporate intelligence. In addition, the banking industry is highly regulated, necessitating that companies adhere to a wide range of rules and regulations. Financial organizations can manage compliance and ensure conformity to several laws and standards by outsourcing data analytics. Apart from this, these organizations use predictive analytics and sophisticated risk management models to improve their ability to recognize and manage risks.
Collaborations Between Key Companies
On 18 October 2023, Infosys, a leader in next-generation digital services and consulting worldwide, announced that it is expanding its partnership with Google Cloud to support businesses in creating AI-powered experiences by utilizing Google Cloud's generative AI solutions and Infosys Topaz offerings. Infosys can expand on its current knowledge of data, analytics, and AI on Google Cloud. Infosys and Google Cloud collaborated to provide a suite of industry solutions and revolutionary AI platforms for a variety of business scenarios. Additionally, partnerships enable companies to pool their resources and specialties and improve their data analytics offerings. A partnership between a data analytics firm and a cloud service provider can offer integrated solutions that include advanced analytics capabilities hosted on a robust cloud infrastructure. Collaborations also facilitate access to cutting-edge technologies, thereby enhancing the data analytics outsourcing market outlook.
Our research scope embraces the services provided by Fractal Analytics, Inc., Helmes, Flatworld Solutions, Inc., Future Processing, Course5 Intelligence, Qsutra, Genpact, Accenture, ZS Associates, Inc., WNS (Holdings) Ltd., and additional firms. Companies use data analytics outsourcing by engaging service providers who analyze information provided by the outsourcing company. The practice of handing data analysis tasks to outside vendors along with their analytical applications constitutes data analytics outsourcing. Market expansion occurs thanks to the rising demand for robotic process automation (RPA) alongside artificial intelligence (AI) and big data and connected device repositories.
Predictive stands as the largest type in 2024, holding around 40.0% of the data analytics outsourcing market share. Predictive analytics is the leading segment of the data analytics outsourcing market. It plays a critical role in forecasting future outcomes and trends to enable proactive decision-making. Predictive analytics is applied by businesses to analyze historical data to determine patterns and predict customer behavior, market trends, and operational risks. Its application is found in finance, healthcare, retail, and manufacturing sectors where accuracy in forecasting is crucial. With advancements in machine learning and artificial intelligence, predictive analytics is increasingly effective and accessible. This drives its growth as the largest segment because firms outsource it to specialized providers to benefit from advanced technology and know-how without spending much on their in-house resources.
Marketing analytics accounts for the highest data analytics outsourcing market share in the data analytics outsourcing market driven by its critical role in enhancing customer engagement and optimizing marketing strategies. By analyzing consumer behavior, campaign performance and market trends businesses can make data-driven decisions to improve ROI. Outsourcing marketing analytics allows organizations to access advanced tools and expertise enabling them to uncover actionable insights and adapt to dynamic market demands. Retail, e-commerce, and media are some of the key industries extensively dependent on marketing analytics for the personalization of campaigns and anticipation of customer preference. The growth in digital marketing further fuels the demand establishing it as the leading application segment.
The solutions segment is crucial for providing businesses with the advanced analytics tools and platforms required to manage business operations and data. Such solutions allow efficient processing, visualization and analysis of complex datasets for actionable insights. Solutions streamlining decision-making with the help of advanced technologies like AI, machine learning and big data analytics can enhance the operational efficiency of any business. Organizations are increasingly turning to outsourced analytics solutions that provide scalable customized tools without the need for extensive in-house infrastructure leading to a large growth in this segment.
The services segment includes consulting, implementation and support services for data analytics outsourcing. Businesses outsource analytics services to leverage domain expertise, technical capabilities and continuous support from external providers. Services are essential for ensuring successful integration of analytics tools, optimizing data strategies and aligning analytics outcomes with business objectives. The growing complexity in data management and analysis is driving the demand for customized services including real-time insights and predictive modeling making this segment a significant growth driver for the market.
BFSI leads the market with around 21.3% of market share in 2024. The BFSI sector relies on data analytics for risk management. Predictive analytics helps in assessing credit risks, detecting fraud and managing market risks. By outsourcing these functions, financial institutions can leverage advanced analytics techniques to mitigate risks effectively. Financial institutions must comply with numerous regulations and reporting requirements. Data analytics outsourcing helps these institutions manage and analyze large datasets to ensure compliance with regulations requirements. On 4 October 2023, Krungsri (Bank of Ayudhya PCL) Thailand's leading financial institution announced a five-year partnership with Kyndryl the world's largest IT infrastructure services provider. Kyndryl will improve the bank's ability to adapt to market changes fortify its legacy systems and enhance its user-centric digital banking services through the implementation of data analytics, cloud solutions and automation.
In 2024, North America accounted for the largest market share of over 42.0%. North America particularly the United States has advanced technological infrastructure which supports the extensive use of data analytics. The availability of cutting-edge technology and high-speed internet facilitates efficient data processing and analysis which is impelling the market growth in the region. In addition, various collaborations and M&As among major players are supporting the data analytics outsourcing market growth. For instance, on 17 May 2024, Accenture plc, a US multinational professional services company headquartered in Dublin announced the acquisition of OPENSTREAM HOLDINGS and its subsidiaries Open Stream and Neutral to help clients reinvent their businesses with advanced digital technologies and become truly data driven. The acquisition will strengthen Accenture's capabilities to support clients in system and application modernization and help them adopt cloud, data, AI, and the Internet of Things (IoT) technologies.
United States Data Analytics Outsourcing Market Analysis
In 2024, the United States captured 78.90% of revenue in the North American market. The growing adoption of data analytics outsourcing in the United States is largely attributed to the expanding IT sector where cloud services have become an integral part of business strategies. According to survey over 51% of businesses now leverage cloud services. As organizations continue to embrace cloud computing for scalability, flexibility and cost efficiency the need for advanced data analytics to leverage the vast amounts of data generated by these services becomes more pronounced. This trend is further amplified by the increasing reliance on cloud platforms which offer the infrastructure necessary for businesses to process and analyze large datasets. The cloud's ability to store and manage data more efficiently has led businesses to seek external analytics expertise driving demand for outsourcing. With cloud-based solutions enabling seamless access to data businesses are increasingly looking to specialized service providers to handle complex data analysis tasks fostering growth in outsourcing engagements. As cloud technologies continue to evolve organizations are increasingly adopting data-driven decision-making leading to the expanded outsourcing of analytics functions.
Asia Pacific Data Analytics Outsourcing Market Analysis
In Asia-Pacific the growing investment on infrastructure around cloud and artificial intelligence (AI) is fuelling the surge in data analytics outsourcing. For example, Microsoft announced a USD 3 Billion investment plan aimed at enhancing cloud and AI infrastructure in India over the next two years with the goal of promoting AI adoption, skill development and innovation. The region has witnessed rapid advancements in both cloud computing and AI technologies offering businesses the ability to analyze large datasets quickly and accurately. As companies adopt these technologies the need for skilled professionals to manage, interpret and analyze data is increasing. Outsourcing analytics to third-party service providers allows businesses to focus on core operations while leveraging specialized expertise in handling data. This is particularly true as industries ranging from manufacturing to retail embrace automation and data-driven insights to optimize operations. The availability of highly skilled labor in the region makes outsourcing analytics a cost-effective solution further driving the demand. With the proliferation of cloud and AI platforms businesses in Asia-Pacific are increasingly looking to external partners to meet their data analysis needs.
Europe Data Analytics Outsourcing Market Analysis
In Europe the surge in data analytics outsourcing adoption can be attributed to the growing demand for finance and risk analytics within the banking, financial services, and insurance (BFSI) sector. According to the European Banking Federation, there were 784 foreign bank branches in the EU in 2021 of which 619 were from other EU Member States and 165 from third countries. As financial institutions face increasing pressure to comply with regulatory requirements, manage risks and gain deeper insights into their operations the need for specialized analytics solutions has risen. Outsourcing data analytics services helps financial organizations access advanced capabilities and improve decision-making from fraud detection to customer behavior analysis. By partnering with third-party experts in data analytics companies in the BFSI sector can efficiently manage financial data, minimize risks and improve regulatory compliance ensuring business continuity in a dynamic environment.
Latin America Data Analytics Outsourcing Market Analysis
In Latin America the rise of online ecommerce platforms is driving the increased adoption of data analytics outsourcing particularly in sales analytics. According to reports, the Latin America market currently boasts over 300 Million digital buyers. As the ecommerce market continues to expand companies face a pressing need to gain actionable insights into consumer behaviors, sales trends, and marketing effectiveness. Outsourcing sales analytics allows ecommerce businesses to optimize their strategies, enhance customer engagement and improve conversion rates. By leveraging external expertise companies can utilize advanced analytics tools and techniques to stay competitive in a rapidly changing digital marketplace. This growing reliance on outsourced analytics solutions highlights the pivotal role of data in shaping business success.
Middle East and Africa Data Analytics Outsourcing Market Analysis
The Middle East and Africa are witnessing an uptick in data analytics outsourcing primarily due to the growing IT and telecom sectors. For example, total expenditure on information and communications technology (ICT) in the Middle East, Turkiye and Africa (META) is expected to exceed USD 238 billion this year representing a 4.5% increase compared to 2023. As telecommunications companies expand their digital services the need for actionable data insights to enhance customer experiences, network optimization and operational efficiency grows. Outsourcing data analytics enables telecom operators to tap into specialized knowledge and technology providing insights into consumer patterns, service usage and predictive maintenance. This shift toward outsourcing not only helps reduce operational costs but also empowers companies to leverage advanced analytics without overburdening internal resources. As the IT and telecom sectors continue to evolve so too will the demand for outsourced data analytics services.
The data analytics outsourcing market is highly competitive characterized by a mix of established providers and emerging players offering tailored solutions to diverse industries. Companies differentiate themselves through advanced technologies such as AI, machine learning and big data integration enhancing analytics capabilities and decision-making efficiency. Cloud-based analytics outsourcing is gaining traction due to scalability and cost benefits while providers emphasize real-time insights, predictive analytics, and customized dashboards. Strategic partnerships, acquisitions and regional expansions are common strategies to capture market share. Vendors also focus on domain-specific expertise to address industry-specific needs such as healthcare, retail and finance. The growing demand for data-driven decision-making and specialized services drives continuous innovation is shaping the dynamic landscape of this market.