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시장보고서
상품코드
1733238
세계의 고객 분석 시장 : 컴포넌트, 전개, 최종사용자, 지역별(2026-2032년)Customer Analytics Market By Component (Solutions, Services), Deployment (On-Premises Deployment, Cloud Deployment), End-User (BFSI, Wholesale & Retail, Telecommunication and IT, Utilities), & Region for 2026-2032 |
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고객 분석 시장 수요 증가는 소비자를 더 잘 이해하고 데이터에 기반한 의사결정을 하고자 하는 기업의 요구가 주요 요인으로 작용하고 있습니다. 기업은 소셜 미디어, 웹사이트, 구매 거래 등 다양한 소스에서 대량의 고객 데이터를 수집하고 있습니다. 이 데이터의 의미를 이해하기 위해 기업들은 소비자 분석 도구를 사용하여 패턴과 추세를 파악합니다. 이 연구는 고객의 행동, 선호도, 구매 행동에 대한 중요한 정보를 제공하여 시장이 2024년에 104억 6,000만 달러의 매출을 돌파하고 2032년에는 약 380억 8,000만 달러에 도달할 수 있게 해줍니다.
고객 분석은 혼잡한 시장에서 경쟁 우위를 확보하기 위해 점점 더 중요해지면서 수요가 증가하고 있습니다. 오늘날의 디지털 사회에서 기업은 치열한 경쟁에 직면하고 있으며, 우위를 점하기 위해서는 강력한 제품 및 서비스를 제공하는 것만으로는 충분하지 않습니다. 시장은 2026-2032년 연평균 19.34%의 성장률을 보일 것으로 예상되므로, 기업은 데이터를 활용하여 경쟁사와의 차별화를 꾀할 필요가 있습니다.
고객 분석 시장 정의/개요
고객 분석은 고객에 대한 데이터를 수집, 분석, 해석하여 고객의 행동, 선호도, 동향을 더 깊이 이해하기 위한 과정입니다. 기본적으로 데이터를 활용하여 소비자가 누구인지, 무엇을 원하는지, 어떻게 기업과 관계를 맺고 있는지 이해하는 것입니다. 이 정보는 구매 이력, 웹사이트에서의 상호 작용, 소셜 미디어 활동, 소비자 피드백 등 다양한 출처에서 얻을 수 있습니다.
소비자 분석은 기업이 여러 상호작용과 터치포인트의 데이터를 평가하여 소비자 행동을 분석하고 예측할 수 있는 강력한 도구입니다. 중요한 용도 중 하나는 마케팅 방법의 개인화입니다. 기업은 구매 이력, 검색 습관, 소셜 미디어와의 상호 작용 등 고객 데이터를 기반으로 개인화된 마케팅 캠페인을 구축할 수 있습니다.
고객 분석의 또 다른 중요한 미래 활용 분야는 예측 모델링과 의사결정입니다. 향상된 머신러닝 알고리즘과 빅데이터 기술을 통해 기업은 미래의 고객 행동과 트렌드를 보다 정확하게 예측할 수 있습니다. 이러한 예측력을 통해 기업은 고객의 욕구를 예측하고, 재고 관리를 최적화하고, 마케팅 캠페인을 사전에 정교화할 수 있습니다.
PwC의 보고서에 따르면, 소비자의 73%가 고객 경험이 구매 의사결정에 필수적인 요소라고 생각하는 것으로 나타나 고객 만족이 기업의 성공에 얼마나 중요한지 알 수 있습니다. 또한 포레스터의 데이터에 따르면, 고객 경험에 뛰어난 기업은 수익 성장률에서 후발주자보다 약 80% 더 높은 성장률을 보였습니다고 합니다. 이는 기업이 고객 분석 솔루션에 투자하여 고객의 선호도와 행동을 더 잘 이해하기 위한 경제적 동기를 강조하고 있으며, 가트너에 따르면 2025년까지 기업의 60%가 고객 경험과 업무 효율성을 개선하기 위해 소비자 분석을 포함한 디지털 마케팅에 인공지능을 활용할 것으로 예상하고 있습니다. 인공지능을 활용할 것이라고 합니다.
하버드 비즈니스 리뷰(Harvard Business Review)의 조사에 따르면, 데이터 기반 커스터마이징을 활용한 조직은 수익이 15% 증가하고 마케팅 비용이 30% 절감된 것으로 나타났습니다고 합니다. 또한, 맥킨지 앤 컴퍼니의 분석에 따르면 소비자 행동 데이터를 활용하는 기업은 매출 성장률에서 85%, 매출 총이익에서 25% 이상 동종업계보다 높은 성과를 보였습니다고 합니다. 이러한 수치는 고객 분석 도구와 전술에 투자하는 것의 구체적인 이점을 보여줍니다. 또한, 미국 노동 통계청은 2021-2032년 사이 시장 조사 분석가의 고용이 23% 증가할 것으로 예상하고 있으며, 이는 미국 평균보다 더 빠른 속도로 소비자 분석 전문가에 대한 수요가 증가하고 있음을 보여줍니다.
고객 분석 시장은 데이터 기반 의사결정이 각 부문에서 광범위하게 채택되고 있는 것을 배경으로 급성장하고 있습니다. 그러나 이 산업에서 숙련된 인력의 부족은 시장 확대에 걸림돌이 될 수 있습니다. 주요 원인 중 하나는 소비자 분석 전문가, 특히 데이터 사이언스자 및 분석가에 대한 수요가 증가하고 있기 때문입니다. 미국 노동 통계청에 따르면, 데이터 사이언스자 고용은 2021-2032년 사이 36% 증가할 것으로 예상되며, 이는 전체 평균을 크게 상회하는 속도입니다. 이러한 급속한 성장은 시장의 큰 수요를 반영하는 동시에 기술 부족의 가능성도 부각시키고 있습니다.
또 다른 원인은 분석 산업의 기술 격차 확대입니다. 세계경제포럼(WEF)에 따르면 2025년까지 인간, 컴퓨터, 알고리즘 간의 분업 변화에 적합한 9,700만 개의 새로운 직업이 생겨날 수 있다고 합니다. 그러나 같은 추산에 따르면 2025년까지 전체 직원의 50%가 기술 도입으로 인해 재교육이 필요할 것이라고 합니다. 이는 고객 분석 시장의 기대에 부응하기 위해서는 인력의 대폭적인 기술 향상과 재교육이 필요하다는 것을 보여줍니다.
The increasing demand for the customer analytics market is mostly driven by organization's desire to better understand their consumers and make data-based decisions. Companies acquire large volumes of client data from a variety of sources including social media, websites, and purchase transactions. To make sense of this data, firms use consumer analytics tools to identify patterns and trends. This study provides vital information on customer behavior, preferences, and purchasing behaviors by enabling the market to surpass a revenue of USD 10.46 Billion valued in 2024 and reach a valuation of around USD 38.08 Billion by 2032.
Customer analytics are in high demand due to the increasing emphasis on competitive advantage in a congested marketplace. In today's digital world, businesses face fierce competition, and staying ahead involves more than just providing a strong product or service. Companies must use data to obtain insights into what differentiates them from competition by enabling the market to grow at a CAGR of 19.34% from 2026 to 2032.
Customer Analytics Market: Definition/ Overview
Customer analytics is the process of gathering, analyzing, and interpreting data on customers to better understand their behaviors, preferences, and trends. Essentially, it is about leveraging data to understand who your consumers are, what they want, and how they interact with your company. This information can be obtained from a variety of sources including purchase history, website interactions, social media activity, and consumer feedback.
Consumer analytics is a strong tool that allows businesses to analyze and forecast consumer behavior by evaluating data from multiple interactions and touchpoints. One important application is to personalize marketing methods. Companies can construct personalized marketing campaigns based on customer data such as purchasing history, browsing habits, and social media interactions.
Another important future application of customer analytics will be predictive modeling and decision-making. Businesses will be able to more accurately predict future customer behavior and trends thanks to enhanced machine learning algorithms and big data technologies. This predictive power will enable businesses to anticipate client wants, optimize inventory management, and refine marketing campaigns in advance.
According to a PwC report, 73% of consumers believe customer experience to be an essential element in their purchasing decisions demonstrating the importance of customer happiness in corporate success. Furthermore, Forrester data shows that organizations that excel at customer experience beat laggards by approximately 80% in terms of revenue growth. This highlights the financial motivation for firms to invest in customer analytics solutions to better understand their customer's preferences and behaviors. According to Gartner, by 2025, 60% of firms will utilize artificial intelligence for digital marketing including consumer analytics, to improve customer experience and operational efficiency.
A Harvard Business Review study indicated that organizations utilizing data-driven customization experienced a 15% boost in revenue and a 30% reduction in marketing spend. Furthermore, a McKinsey & Company analysis shows that firms that use consumer behavioral data outperform peers by 85% in sales growth and more than 25% in gross profit. These figures show the concrete advantages of investing in customer analytics tools and tactics. Furthermore, the U.S. Bureau of Labor Statistics predicts a 23% increase in market research analyst employment between 2021 and 2032 faster than the national average, showing an increased demand for consumer analytics specialists.
The customer analytics market is expanding rapidly driven by the widespread adoption of data-driven decision-making across sectors. However, a scarcity of skilled workers in this industry may provide a barrier to market expansion. One major factor is the increasing demand for consumer analytics specialists, particularly data scientists and analysts. According to the United States Bureau of Labor Statistics, employment of data scientists is expected to expand 36% between 2021 and 2032, substantially faster than the overall average. This quick expansion reflects significant market demand while also highlighting the possibility of a skills shortage.
Another cause is the growing skills gap in the analytics industry. According to the World Economic Forum, by 2025, 97 million new professions may arise that are better suited to the changing division of labor between humans, computers, and algorithms. However, the same estimate states that by 2025, 50% of all employees will require reskilling due to the adoption of technology. This shows that the workforce requires major upskilling and reskilling to satisfy the expectations of the customer analytics market.
The services sector has the biggest market share owing to the increase in need for personalized customer assistance and advanced analytics solutions across many industries. Services in this sense include advice, implementation, training, and ongoing support all of which are required for organizations to properly exploit customer data. As enterprises appreciate the importance of consumer insights in driving business success, they are turning to professional services to assist them in navigating and optimizing their analytics strategy. This includes personalized consulting services that provide expertise in establishing and administering customer analytics platforms as well as training programs that prepare employees to analyze and act on data insights.
The complexity of integrating and administering customer analytics solutions also contributes to the services segment's growth. As client data gets more copious and diversified, organizations demand specialist assistance to efficiently utilize it. Service providers provide important assistance in the implementation of advanced analytics technology ensuring that systems are correctly configured and aligned with corporate goals. Furthermore, the constant evolution of analytics tools demands continuing support and maintenance which service providers are well-equipped to supply. The growing emphasis on individualized client experiences combined with the demand for expert counsel and technical support ensures that the services sector will continue to grow.
Cloud deployment, especially via Software as a Service (SaaS) solutions is gaining pace. Cloud solutions are given by service providers who host software on their servers and make it available via the Internet. This approach has significant advantages that are driving its growing adoption among diverse companies. Scalability is a key feature of cloud deployment. Organizations may simply alter their resources to meet current demands without the need for costly physical infrastructure. This flexibility enables firms to manage shifting workloads and respond to changing needs while incurring minimal additional costs. Cloud-based analytics tools allow businesses to easily grow their operations and respond to market changes more efficiently.
Another significant advantage of cloud implementation is cost-effectiveness. Traditional on-premises systems can demand significant upfront investments in hardware, software, and upkeep. Cloud solutions, on the other hand, are subscription-based which means that enterprises only pay for the services they utilize. This pay-as-you-go model alleviates the financial burden associated with major capital investments and recurring maintenance costs.
Furthermore, cloud solutions are easy to adopt and administer. Organizations may use their analytics tools from any location with an internet connection enabling remote work and worldwide collaboration. The cloud environment eliminates the need for complex installs and IT maintenance that come with on-premises systems allowing organizations to focus on exploiting their data for strategic insights rather than managing infrastructure.
The North American customer analytics market is expanding rapidly owing to the widespread adoption of modern technical solutions. This trend is especially obvious in the United States and Canada where firms are increasingly using data-driven insights to improve customer experiences and streamline operations. One of the primary driving forces is the expanding use of artificial intelligence (AI) and machine learning (ML) in consumer analytics. According to research by the United States Bureau of Labor Statistics, employment in computer and information technology occupations is expected to expand 15% between 2021 and 2032, substantially faster than the overall average. This increase is due in part to the growing need for AI and ML expertise in customer analytics.
Another key driver is the increasing emphasis on real-time analytics. According to Harvard Business Review research, organizations that use real-time customer data are 2.5 times more likely to provide an excellent customer experience. This skill enables firms to respond quickly to consumer needs and market changes, ultimately increasing customer happiness and loyalty. Additionally, the growing emphasis on omnichannel customer experiences is driving demand for advanced analytics solutions. According to a report by the United States Census Bureau, e-commerce sales amounted to 15.4% of total retail sales in the second quarter of 2023 emphasizing the need to combine online and offline customer data for a thorough analysis.
The Asia Pacific region is undergoing a surge in digital transformation which is a major driver of the customer analytics market. This rapid shift is mostly driven by rising internet penetration and smartphone adoption rates throughout the area. According to the International Telecommunication Union (ITU), internet users in Asia and the Pacific increased from 39.6% of the population in 2015 to 54.9% in 2021. The mobile industry makes a significant contribution to the Asia Pacific economy with the GSMA projecting that it will create USD 770 Billion in economic value in 2021 accounting for 5% of GDP. This expansion of digital infrastructure creates an ideal environment for the development of customer analytics tools and services.
Another significant factor is the growing e-commerce sector in Asia Pacific. The United Nations Conference on Trade and Development (UNCTAD) estimated that Asia-Pacific would account for almost 60% of global e-commerce revenues in 2020. According to China's National Bureau of Statistics, the country's e-commerce business will be worth USD 2.1 Trillion by 2021. India is also experiencing tremendous expansion with the e-commerce market predicted to reach USD 120 Billion by 2025, according to a report by the India Brand Equity Foundation. This e-commerce surge needs modern customer analytics tools to better understand consumer behavior, personalize experiences, and improve marketing efforts. Furthermore, the growing emphasis on data-driven decision-making in enterprises is moving the industry ahead.
The customer analytics market is a dynamic and competitive space, characterized by a diverse range of players vying for market share. These players are on the run for solidifying their presence through the adoption of strategic plans such as collaborations, mergers, acquisitions, and political support. The organizations are focusing on innovating their product line to serve the vast population in diverse regions.
Some of the prominent players operating in the customer analytics market include:
Dell, Inc.
Cognizant
Google LLC
Siemens
IBM Corporation
Microsoft
Hewlett Packard Enterprise Development LP
SAP SE
Oracle
Adobe
In March 2022, Adobe launched new Customer Journey Analytics for its Experience Cloud. Adobe has released a new experimentation tool in experience analytics that enables organizations to test real-world situations and assess the results to better understand how minor changes might impact the entire consumer experience across their many products. Adobe Customer Data Platform (CDP) and Customer Journey Analytics have also been integrated to enhance Adobe's ability to identify customer subgroups.
In June 2022, Salesforce released new Customer 360 technologies combining marketing, commerce, and service data on a single platform, allowing businesses to connect, automate, and customize every contact while building trusted connections at scale.