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시장보고서
상품코드
1733842
세계의 세일즈 인텔리전스 시장 : 소프트웨어 유형별, 전개 모드별, 용도별, 지역별(2026-2032년)Sales Intelligence Market By Type of Software, Deployment Mode, Application, & Region For 2026-2032 |
세일즈 인텔리전스에 대한 수요 증가는 경쟁 우위를 확보하고 영업 전략을 개선하고자 하는 기업의 니즈에 의해 촉진되고 있습니다. 빠르게 변화하는 오늘날의 데이터 기반 세상에서 기업은 고객을 더 잘 이해하고, 고객의 니즈를 예측하고, 그에 따라 제안을 조정할 수 있는 방법을 끊임없이 모색하고 있습니다. 세일즈 인텔리전스 시스템은 소셜 미디어, 고객 접점, 시장 등 다양한 소스에서 얻은 방대한 양의 데이터를 평가하여 중요한 인사이트를 제공함으로써 2024년에는 26억 4,000만 달러의 매출을 돌파하고 2032년에는 약 56억 7,000만 달러에 도달할 것으로 예측됩니다.
디지털 전환과 온라인 플랫폼의 확산으로 영업 환경은 더욱 복잡해지고 경쟁은 더욱 치열해지고 있습니다. 기존의 영업 방식으로는 개인화된 경험과 신속한 대응을 기대하는 오늘날의 고객 요구에 부응할 수 없습니다. 세일즈 인텔리전스 솔루션은 실시간 데이터와 분석을 제공함으로써 기업이 이러한 변화에 적응할 수 있도록 돕습니다. 이를 통해 영업팀은 보다 현명한 의사결정을 내리고, 적절한 잠재고객을 타겟팅하고, 적시에 적절한 메시지를 통해 고객과 소통할 수 있으며, 이 시장은 2026-2032년 연평균 11.10%의 성장률을 보일 것으로 예측됩니다.
세일즈 인텔리전스 시장 정의/개요
세일즈 인텔리전스는 영업 프로세스를 개선하기 위해 데이터를 수집, 분석, 적용하는 프로세스입니다. 이는 영업사원이 목표를 달성하기 위해 나아가야 할 최적의 경로를 알려주는 철저한 지도를 가지고 있는 것과 같습니다. 이 정보는 고객과의 만남, 소셜 미디어, 기업 데이터베이스, 시장 동향 등 다양한 소스에서 수집됩니다. 기업은 세일즈 인텔리전스를 활용하여 고객을 더 잘 이해하고, 잠재적 리드를 식별하고, 개별 요구에 맞게 영업 방식을 조정할 수 있습니다.
세일즈 인텔리전스의 주요 용도는 고객과의 상호 작용을 개선하는 것입니다. 기업은 지속적으로 데이터를 수집하고 분석하여 기존 소비자의 욕구와 선호도를 더 잘 이해할 수 있습니다. 이 정보를 통해 영업팀은 보다 맞춤화된 서비스와 신속한 솔루션을 제공할 수 있으며, 그 결과 고객 만족도와 충성도를 높일 수 있습니다. 예를 들어, 세일즈 인텔리전스 기술이 특정 고객이 분기별로 특정 제품을 구매한다는 것을 알려준다면 영업팀은 구매 예정일 직전에 특별 혜택이나 제품 업그레이드를 안내할 수 있습니다.
앞으로는 영업 인텔리전스에 보다 진보된 자동화 요소가 포함될 것으로 예측됩니다. 이러한 기능을 통해 영업 프로세스의 많은 영역을 효율화하여 영업 담당자가 관리 업무에 소요되는 시간을 줄일 수 있습니다. 예를 들어, 자동화된 시스템은 후속 이메일 스케줄링, CRM 시스템 업데이트, 영업 보고서 작성 등을 수행할 수 있습니다. 이를 통해 영업 담당자는 인간관계 구축과 거래 성사에 더 집중할 수 있습니다.
연구개발에 대한 투자 증가는 향후 몇 년 동안 세일즈 인텔리전스 산업을 크게 발전시킬 것으로 예측됩니다. 미국 과학재단(NSF)의 조사에 따르면 2018년 미국의 R&D 투자 총액은 6,061억 달러로 전년 대비 6.7% 증가했습니다. 유네스코 통계 연구소에 따르면 세계 R&D 투자는 2024년까지 2조 4,000억 달러에 달할 것으로 예상되며, 이러한 R&D 투자 증가 추세는 앞으로도 계속될 것으로 예측됩니다. 주로 기술적 개선과 데이터 분석에 의존하는 세일즈 인텔리전스 시장은 이러한 R&D 투자 증가로 인해 큰 이익을 얻을 수 있을 것으로 보입니다. 기업들이 새로운 솔루션 개발에 더 많은 자금을 투자할수록 더 복잡한 세일즈 인텔리전스 시스템이 등장할 것으로 보입니다.
산업 전반에 걸쳐 데이터 기반 의사결정에 대한 중요성이 높아짐에 따라 보다 복잡한 세일즈 인텔리전스 솔루션에 대한 수요가 증가할 것으로 예측됩니다. 데이터 중심 방법론의 활용이 증가함에 따라 세일즈 인텔리전스 시장이 성장할 수 있는 이상적인 환경이 조성될 것입니다. 경쟁 우위를 확보하고자 하는 기업들은 실용적인 데이터를 제공하고 영업 프로세스 강화를 지원하는 솔루션에 투자하는 경향이 증가하고 있습니다. IDC(International Data Corporation)는 빅데이터 및 비즈니스 분석 솔루션에 대한 전 세계 지출이 2021년 2,157억 달러에 달하며 연평균 성장률(CAGR: Compound Annual Growth Rate)이 2.5배에 달할 것으로 예측했습니다.(CAGR).(CAGR).
영업 인텔리전스 비즈니스는 규제 당국의 모니터링과 데이터 프라이버시에 대한 우려가 커지면서 큰 장애물에 직면해 있습니다. 미국 연방거래위원회 조사에 따르면, 2021년에 1,387건의 데이터 유출이 기록되었고, 2억 8,150만 명이 영향을 받았다고 합니다. 이는 세일즈 인텔리전스 비즈니스에서 규정 준수와 프라이버시 보호의 필요성을 강조하고 있습니다. 유럽연합(EU)의 일반 데이터 보호 규정(GDPR(EU 개인정보보호규정))은 데이터 보호에 대한 세계 표준을 확립하고, 위반 시 최대 2,000만 유로 또는 전 세계 연간 매출액의 4% 중 큰 금액의 벌금이 부과됩니다. 미국에서는 캘리포니아주 소비자 프라이버시법(CCPA)을 통해 소비자는 자신의 개인정보를 보다 자유롭게 관리할 수 있게 되었습니다.
이러한 확대는 업계가 규제 변화에 의해 방해받는 것이 아니라 오히려 적응하고 있음을 보여줍니다. 실제로, 표준 및 개인정보 보호 준수는 신뢰성과 컴플라이언스를 입증하는 기업에게 경쟁 우위가 될 수 있으며, 포네몬 연구소의 조사에 따르면, 조직의 55%는 강력한 개인정보 보호 태세가 소비자 신뢰를 구축하여 매출과 고객 충성도를 향상시킨다고 응답했습니다. 매출과 고객 충성도 향상으로 이어진다고 생각합니다. 또한, 프라이버시 강화 기술(PETs)의 등장으로 기업은 프라이버시를 존중하면서 데이터로부터 가치 있는 인사이트를 얻을 수 있게 되었습니다. 세계경제포럼(WEF)은 PETs가 2026년까지 기업 전체에 5조 달러의 가치를 창출할 것으로 예측했습니다.
The growing demand for sales intelligence is fueled by organization's need to acquire a competitive advantage and improve their sales strategy. In today's fast-paced, data-driven world, businesses are continuously looking for methods to better understand their customers, anticipate their needs, and adjust their offers accordingly. Sales intelligence systems deliver significant insights by evaluating massive amounts of data from many sources such as social media, client contacts, and the market by enabling the market to surpass a revenue of USD 2.64 Billion in 2024 and reach a valuation of around USD 5.67 Billion by 2032.
The rise of digital transformation and the proliferation of online platforms have made the sales environment more complex and competitive. Traditional sales approaches are no longer sufficient to match the demands of today's clients who expect personalized experiences and prompt responses. Sales intelligence solutions help firms adjust to these developments by offering real-time data and analytics. This enables sales teams to make more informed decisions, target the right prospects, and interact with customers at the right moment with the correct message by enabling the market to grow at a CAGR of 11.10 % from 2026 to 2032.
Sales Intelligence Market: Definition/ Overview
Sales intelligence is the process of collecting, analyzing, and applying data to better the sales process. It's like having a thorough map that tells salesmen the best paths to go to achieve their goals. This information is gathered from a variety of sources including customer encounters, social media, corporate databases, and market trends. Businesses can use sales intelligence to better understand clients, identify potential leads, and adjust sales methods to individual needs.
The primary application of sales intelligence is to improve customer interactions. Businesses can better understand their existing consumer's wants and preferences by gathering and analyzing data constantly. This information enables sales teams to give more tailored service and quick solutions resulting in enhanced client satisfaction and loyalty. For example, if a sales intelligence technology shows that a customer buys a specific product every quarter, the sales team can reach out with special offers or product upgrades immediately before the scheduled purchase period.
In the future, more advanced automation elements are likely to be included in sales intelligence. These features will streamline many areas of the sales process lowering the amount of time salespeople spend doing administrative work. Automated systems, for example, could handle follow-up email scheduling, CRM system updates, and sales report generation. This will help salespeople to concentrate more on developing relationships and closing deals.
Increased investment in research & development is expected to significantly move the sales intelligence industry forward in the coming years. According to a National Science Foundation (NSF) study, total R&D investment in the United States hit $606.1 billion in 2018, a 6.7% rise from the year before. This upward trend in R&D investment is predicted to continue with global R&D spending projected to reach $2.4 trillion by 2024, according to UNESCO's Institute for Statistics. The sales intelligence market which is primarily reliant on technical improvements and data analytics would profit substantially from this increase in R&D spending. As firms devote more money to developing novel solutions, more complex sales intelligence systems will emerge.
The growing emphasis on data-driven decision-making across industries is projected to fuel demand for more complex sales intelligence solutions. The increased use of data-centric techniques creates an ideal environment for the sales intelligence market to thrive. Businesses that want to acquire a competitive advantage are more inclined to invest in solutions that provide actionable data and assist enhance their sales processes. The International Data Corporation (IDC) predicts that global spending on big data and business analytics solutions will reach $215.7 billion in 2021 with a compound annual growth rate. (CAGR)
The sales intelligence business is facing significant hurdles as regulatory scrutiny and worries about data privacy expand. According to a US Federal Trade Commission study, 1,387 data breaches were recorded in 2021 affecting 281.5 million individuals. This emphasizes the necessity of following rules and protecting privacy in the sales intelligence business. The European Union's General Data Protection Regulation (GDPR) has established a global standard for data protection with fines for noncompliance ranging up to €20 million or 4% of global annual sales whichever is greater. In the United States, the California Consumer Privacy Act (CCPA) gives consumers more control over their personal information which may limit the data available for sales intelligence purposes.
This expansion indicates that the industry is adjusting to regulatory changes rather than being inhibited by them. Indeed, adherence to standards and privacy protection may become a competitive advantage for businesses that demonstrate reliability and compliance. According to a Ponemon Institute survey, 55% of organizations believe that a strong privacy posture builds consumer trust which can lead to greater sales and customer loyalty. Furthermore, the emergence of privacy-enhancing technologies (PETs) enables businesses to gain valuable insights from data while respecting privacy. The World Economic Forum predicts that PETs will release $5 trillion in value across businesses by 2026.
The software component is currently dominant. This supremacy is largely due to the growing dependence on data-driven techniques to optimize sales efforts. Sales intelligence software products are intended to collect, analyze, and present data required for making educated sales decisions. These tools provide significant insights into consumer behavior, market trends, and competitive dynamics all of which are required to design efficient sales strategies. Companies from a variety of industries are recognizing the value of these tools in improving their sales performance. Sales intelligence software has evolved to include predictive analytics and tailored suggestions as advanced technologies like artificial intelligence (AI) and machine learning (ML) have emerged.
The expanding use of cloud-based solutions has considerably increased the popularity of sales intelligence software. Cloud-based solutions provide improved accessibility, scalability, and cost-effectiveness allowing firms of all sizes to easily adopt and use sales intelligence technologies. These technologies provide sales teams with real-time data and insights from anywhere allowing for more agile and responsive sales strategies. Furthermore, the integration of sales intelligence software with other business systems such as Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) has increased its usefulness and appeal. This seamless integration provides a more comprehensive perspective of client interactions and business activities, resulting in better coordinated and effective sales efforts.
The dominant application is lead management. This domination stems mostly from the vital role lead management tools play in the sales process. Lead management entails capturing, tracking, and nurturing prospective clients across the sales funnel from first contact to conversion. Businesses understand that efficiently managing leads has a substantial impact on revenue growth and sales efficiency. Lead management solutions enable sales teams to rank leads based on their likelihood to convert, tailor contact efforts, and guarantee that no potential customer is neglected. This systematic approach to handling leads increases the likelihood of converting prospects into loyal clients making lead management systems essential for sales firms.
The increasing complexity of customer acquisition is likely to make lead management more important in the sales intelligence market. As marketplaces become more competitive, the process of acquiring and converting new clients becomes more difficult. Lead management systems use advanced technologies like artificial intelligence (AI) and machine learning (ML) to evaluate large volumes of data, discover high-potential leads, and forecast customer behavior. These insights help sales teams modify their plans and communicate with prospects more successfully. Furthermore, lead management software frequently links with other sales and marketing platforms resulting in a smooth flow of information across departments. This integration ensures that marketing efforts are aligned with sales objectives increasing the overall efficiency and effectiveness of the selling process.
The North American region is poised to dominate the sales intelligence market owing to its strong technological infrastructure and advanced digital environment. This dominance is likely to last throughout the forecast period with the area retaining a substantial market share.
Several reasons contribute to North America's dominant position in the sales intelligence market. According to the United States Bureau of Labor Statistics, employment in computer and information technology occupations is expected to expand 15% between 2021 and 2031, well outpacing the national average. This expansion is predicted to generate approximately 682,800 new jobs over the next decade suggesting a solid basis for technical improvement and innovation. The region's well-established IT industry and strong adoption rates of sophisticated technologies
According to the US Census Bureau, 91.8% of US households had a computer in 2020, with 85.2% having a broadband internet subscription demonstrating the pervasive digital connectivity that enables sales intelligence solutions.
Furthermore, the existence of major technology hubs such as Silicon Valley, Seattle, and Boston fosters an environment of innovation and entrepreneurship which drives the creation and acceptance of cutting-edge sales intelligence solutions. The region's emphasis on data-driven decision-making in organizations of all kinds drives up demand for sales intelligence solutions. According to the National Center for Science and Engineering Statistics, U.S. corporations spent USD 506 Billion on R&D in 2018 with a sizable share going into software and IT services.
The Asia Pacific region is projected to be a prominent force in the sales intelligence market owing primarily to rapid technology improvements and increased industrialization. This growth trend is especially noticeable in emerging economies such as China, India, and Southeast Asian countries. The Asia Pacific sales intelligence market is likely to grow significantly in the next years driven by several major factors. According to an Asian Development Bank assessment, the region's GDP is expected to increase by 5.2% in 2024 indicating a strong economic environment suitable to corporate expansion and technological adoption. This economic expansion is directly related to the region's rapid digital change.
According to the United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), the region's digital economy might grow to USD 1.7 Trillion by 2025 creating a huge opportunity for sales intelligence solutions. Furthermore, the fast spread of cell phones and internet access is creating a data-rich environment conducive to sales intelligence applications. The International Telecommunication Union (ITU) predicts that mobile broadband subscriptions in Asia Pacific will reach 3.1 billion by 2025 resulting in a large customer base for digital sales tools. The region's strong startup ecosystem is also boosting market growth with many new businesses focusing on AI and data analytics. According to the Asian Venture Capital Journal, venture capital investments in Asian technology companies will reach USD129 Billion in 2023 demonstrating solid support.
The sales intelligence 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 sales intelligence market include:
Clearbit
DEMANDBASE, INC.
Dun & Bradstreet
DueDil Ltd
EverString Technology
FullContact
GRYPHON NETWORKS
com
Insideview
LeadGenius
LinkedIn Corporation
List Partners LLC
Oracle
Relationship Capital Partners Inc. and RelPro, Inc.
RingLead, Inc.
UpLead
Yesware, Inc.
Zoho Corporation Pvt. Ltd.
Zoom Information, Inc.