시장보고서
상품코드
1582739

세일즈 인텔리전스 시장 - 세계 산업 규모, 점유율, 동향, 기회, 예측 : 제공별, 용도별, 전개 방식별, 조직 규모별, 산업별, 지역별, 경쟁(2019-2029년)

Sales Intelligence Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Offering, By Application, By Deployment Mode, By Organization Size, By Vertical, By Region & Competition, 2019-2029F

발행일: | 리서치사: TechSci Research | 페이지 정보: 영문 180 Pages | 배송안내 : 2-3일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

판매 인텔리전스 세계 시장 규모는 2023년 33억 달러로 2029년까지 연평균 12.1%의 견조한 성장세를 보일 것으로 예상됩니다.

세계 세일즈 인텔리전스 시장은 비즈니스 현장에서 실용적인 인사이트와 데이터 기반 의사결정에 대한 수요가 증가함에 따라 크게 성장하고 있습니다. 기업들이 경쟁 우위를 확보하기 위해 노력하는 가운데, 세일즈 인텔리전스 솔루션은 필수적인 도구가 되고 있습니다. 이러한 솔루션을 통해 기업은 영업 전략을 강화하고, 고객과의 상호 작용을 최적화하며, 잠재적인 리드와 시장 동향을 파악할 수 있습니다. 인공지능, 머신러닝, 빅데이터 분석과 같은 첨단 기술의 채택이 증가하면서 시장 확대가 더욱 가속화되고 있습니다. 세일즈 인텔리전스 플랫폼은 기업에게 영업 프로세스 간소화, 업무 자동화, 영업팀 효율화를 제공하여 궁극적으로 매출과 수익률 향상으로 이어집니다. 클라우드 기반 세일즈 인텔리전스 솔루션의 등장은 손쉬운 접근과 실시간 데이터 분석을 용이하게 하여 시장 성장을 촉진하고 있습니다. 비즈니스의 세계화와 다양한 시장 역학 및 소비자 행동에 대한 이해의 필요성으로 인해 세일즈 인텔리전스 도구에 대한 수요가 전 세계적으로 증가하고 있으며, 현대 비즈니스 전략에 필수적인 요소로 자리 잡고 있습니다.

시장 개요
예측 기간 2025-2029년
시장 규모 : 2023년 33억 달러
시장 규모 : 2029년 66억 1,000만 달러
CAGR : 2024-2029년 12.1%
급성장 부문 서비스
최대 시장 북미

시장 촉진요인

인공지능과 데이터 분석의 발전

영업 프로세스 자동화 강화

빅데이터와 예측 분석의 통합

실시간 영업 인사이트에 대한 수요 증가

주요 시장 과제

통합 및 호환성

데이터 보안 및 프라이버시 보호

복잡한 데이터 관리 및 분석

에너지 효율과 환경적 지속가능성

법 규제 대응

주요 시장 동향

고도화된 데이터 통합 및 분석

개인화 및 고객 중심 접근 방식

증강현실(AR)과 가상현실(VR)의 통합

지속가능한 실천과 윤리적 판매에 대한 중요성

공동 영업 플랫폼의 부상

목차

제1장 개요

제2장 조사 방법

제3장 주요 요약

제4장 COVID-19가 세계의 세일즈 인텔리전스 시장에 미치는 영향

제5장 고객의 소리

제6장 세계의 세일즈 인텔리전스 시장 개요

제7장 세계의 세일즈 인텔리전스 시장 전망

  • 시장 규모와 예측
    • 금액별
  • 시장 점유율과 예측
    • 제공별(소프트웨어, 서비스)
    • 용도별(분석과 보고, 데이터 관리, 리드 관리, 기타)
    • 전개 방식별(클라우드, 온프레미스)
    • 조직 규모별(중소기업, 대기업)
    • 업계별(BFSI, IT 및 통신, 소매 및 E-Commerce, 헬스케어, 미디어 및 엔터테인먼트, 기타)
    • 지역별(북미, 유럽, 남미, 중동 및 아프리카, 아시아태평양)
  • 기업별(2023)
  • 시장 맵

제8장 북미의 세일즈 인텔리전스 시장 전망

  • 시장 규모와 예측
    • 금액별
  • 시장 점유율과 예측
    • 제공별
    • 용도별
    • 전개 방식별
    • 조직 규모별
    • 업계별
    • 국가별
  • 북미 : 국가별 분석
    • 미국
    • 캐나다
    • 멕시코

제9장 유럽의 세일즈 인텔리전스 시장 전망

  • 시장 규모와 예측
    • 금액별
  • 시장 점유율과 예측
    • 제공별
    • 용도별
    • 전개 방식별
    • 조직 규모별
    • 업계별
    • 국가별
  • 유럽 : 국가별 분석
    • 독일
    • 프랑스
    • 영국
    • 이탈리아
    • 스페인
    • 벨기에

제10장 남미의 세일즈 인텔리전스 시장 전망

  • 시장 규모와 예측
    • 금액별
  • 시장 점유율과 예측
    • 제공별
    • 용도별
    • 전개 방식별
    • 조직 규모별
    • 업계별
    • 국가별
  • 남미 : 국가별 분석
    • 브라질
    • 콜롬비아
    • 아르헨티나
    • 칠레
    • 페루

제11장 중동 및 아프리카의 세일즈 인텔리전스 시장 전망

  • 시장 규모와 예측
    • 금액별
  • 시장 점유율과 예측
    • 제공별
    • 용도별
    • 전개 방식별
    • 조직 규모별
    • 업계별
    • 국가별
  • 중동 및 아프리카 : 국가별 분석
    • 사우디아라비아
    • 아랍에미리트
    • 남아프리카공화국
    • 터키
    • 이스라엘

제12장 아시아태평양의 세일즈 인텔리전스 시장 전망

  • 시장 규모와 예측
    • 금액별
  • 시장 점유율과 예측
    • 제공별
    • 용도별
    • 전개 방식별
    • 조직 규모별
    • 업계별
    • 국가별
  • 아시아태평양 : 국가별 분석
    • 중국
    • 인도
    • 일본
    • 한국
    • 호주
    • 인도네시아
    • 베트남

제13장 시장 역학

  • 성장 촉진요인
  • 과제

제14장 시장 동향과 발전

제15장 기업 개요

  • ZoomInfo Technologies LLC.
  • Dun & Bradstreet, Inc.
  • LinkedIn Corporation
  • API Hub, Inc
  • Lead411 Corporation
  • Lusha Systems Inc.
  • SLI Technologies Inc.
  • UpLead, LLC
  • ZenLeads Inc.
  • Gong.io Inc.

제16장 전략적 제안

제17장 조사 회사 소개 및 면책사항

ksm 24.11.14

Global Sales Intelligence Market was valued at USD 3.3 Billion in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 12.1% through 2029F. The Global Sales Intelligence Market is experiencing significant growth driven by the escalating demand for actionable insights and data-driven decision-making in the business landscape. As businesses strive to gain a competitive advantage, sales intelligence solutions have become indispensable tools. These solutions empower organizations to enhance their sales strategies, optimize customer interactions, and identify potential leads and market trends. The rising adoption of advanced technologies such as artificial intelligence, machine learning, and big data analytics further amplifies the market's expansion. Sales intelligence platforms offer businesses the ability to streamline sales processes, automate tasks, and improve sales team efficiency, ultimately leading to increased revenue and profitability. The advent of cloud-based sales intelligence solutions has facilitated easy accessibility and real-time data analysis, fostering the market's growth. The globalization of businesses and the need to understand diverse market dynamics and consumer behaviors are propelling the demand for sales intelligence tools on a global scale, making it a vital component of modern business strategies.

Market Overview
Forecast Period2025-2029
Market Size 2023USD 3.3 Billion
Market Size 2029USD 6.61 Billion
CAGR 2024-202912.1%
Fastest Growing SegmentService
Largest MarketNorth America

Key Market Drivers

Advancements in Artificial Intelligence and Data Analytics

The Global Sales Intelligence Market is undergoing a transformative phase propelled by rapid advancements in Artificial Intelligence (AI) and Data Analytics. AI algorithms, integrated into sales intelligence platforms, have ushered in a new era of intelligent decision-making. These algorithms not only gather data but also interpret patterns, enabling businesses to make strategic decisions based on actionable insights. For instance, AI-driven predictive analytics help businesses anticipate customer needs and optimize sales strategies. Data Analytics processes vast amounts of sales data, extracting meaningful patterns and trends. By deciphering this data, companies gain valuable insights into customer behavior, market trends, and competitive landscapes. This synergy between AI and Data Analytics fuels innovation, enhances customer engagement, and streamlines sales processes, making them more efficient and responsive to market dynamics. As AI continues to evolve and Data Analytics techniques become more sophisticated, this convergence will drive the Global Sales Intelligence Market into a future where businesses can make data-driven decisions, ensuring sustainable growth and competitive advantage.

Enhanced Sales Process Automation

One of the driving forces behind the surging Global Sales Intelligence Market is the emphasis on enhancing sales process automation. Businesses are increasingly adopting sales intelligence solutions to automate various aspects of their sales processes, from lead generation and customer segmentation to sales forecasting and performance analysis. Sales intelligence platforms utilize advanced algorithms and machine learning to automate repetitive tasks, allowing sales teams to focus on high-value activities such as building relationships and closing deals. These platforms streamline the sales pipeline, ensuring that leads are effectively nurtured, sales activities are optimized, and revenue generation is maximized. By automating mundane tasks, businesses can allocate their resources more efficiently, leading to increased productivity and profitability. The demand for enhanced sales process automation is driving innovation in the Global Sales Intelligence Market, with businesses seeking solutions that not only provide comprehensive data but also automate the analysis and interpretation of this data, empowering sales teams to make informed decisions and achieve their sales targets effectively.

Integration of Big Data and Predictive Analytics

The Global Sales Intelligence Market is witnessing a paradigm shift due to the integration of Big Data and Predictive Analytics technologies. Big Data solutions enable businesses to process and analyze massive volumes of structured and unstructured data, providing valuable insights into customer behavior, market trends, and competitive landscapes. By harnessing the power of Big Data, businesses can identify hidden patterns and correlations within their sales data, enabling them to make data-driven decisions and formulate targeted sales strategies. Predictive Analytics, on the other hand, utilizes historical data and statistical algorithms to forecast future outcomes and trends. In the context of sales intelligence, Predictive Analytics helps businesses anticipate customer needs, identify potential leads, and optimize pricing strategies. The integration of these technologies empowers businesses to stay ahead of market trends, enhance customer engagement, and gain a competitive edge. As businesses recognize the value of data-driven decision-making, the demand for integrated Big Data and Predictive Analytics solutions in the Global Sales Intelligence Market continues to rise, driving innovation and shaping the future of sales strategies worldwide.

Rising Demand for Real-time Sales Insights

A significant driver behind the flourishing Global Sales Intelligence Market is the escalating demand for real-time sales insights. In today's fast-paced business environment, timely and accurate information is crucial for making informed decisions and gaining a competitive advantage. Sales intelligence solutions that offer real-time data analysis and insights enable businesses to monitor sales activities, track customer interactions, and assess market trends in real-time. By having access to up-to-the-minute sales data, businesses can adapt their sales strategies on the fly, respond promptly to changing market conditions, and capitalize on emerging opportunities. Real-time sales insights not only enhance the agility of sales teams but also enable them to provide personalized and responsive customer experiences. As businesses increasingly recognize the importance of real-time data in driving sales performance, the Global Sales Intelligence Market is witnessing a surge in demand for solutions that offer instantaneous and actionable insights, propelling the market's growth and shaping the future of sales analytics.

Key Market Challenges

Integration and Compatibility

The Global Sales Intelligence Market encounters significant hurdles related to integration and compatibility. Sales intelligence solutions, often developed by diverse manufacturers, may operate on different platforms and technologies, leading to interoperability issues. Achieving seamless integration among various sales intelligence tools poses a challenge, hindering businesses from creating cohesive data-driven strategies. The lack of standardized protocols and universal compatibility standards can create complexities, causing frustration for businesses aiming for integrated sales processes. As a consequence, achieving a streamlined, interconnected sales ecosystem becomes difficult, impacting the market's potential for widespread adoption and efficiency.

Data Security and Privacy

Data security and privacy concerns present substantial challenges in the Global Sales Intelligence Market. Sales intelligence platforms gather and process vast amounts of sensitive business data, making them prime targets for cyber threats and breaches. Unauthorized access, data manipulation, or breaches can compromise crucial business information, leading to financial and reputational damage. Addressing these concerns necessitates robust encryption, secure data transmission protocols, and stringent access controls. Ensuring compliance with data protection regulations, such as GDPR, is crucial. Building trust among businesses and consumers by implementing rigorous security measures and transparent data practices is essential for the market's growth, ensuring that organizations can harness the power of sales intelligence without compromising their sensitive information.

Complex Data Management and Analysis

Managing the complexity of data generated by sales intelligence platforms poses a significant challenge. These platforms generate vast volumes of data that require advanced analytics tools to extract meaningful insights. Businesses struggle to navigate the complexities of data management, from data storage and organization to analysis and interpretation. Ensuring data accuracy, reliability, and relevance while complying with regulations adds layers of complexity. Simplifying these processes through user-friendly analytics tools and intuitive data management solutions is essential. Streamlining these complexities is crucial for businesses to harness the full potential of sales intelligence, enabling them to make informed decisions and gain a competitive edge in the market.

Energy Efficiency and Environmental Sustainability

Energy efficiency and environmental sustainability are critical challenges faced by the Global Sales Intelligence Market. Data centers, which play a vital role in processing and storing sales intelligence data, require significant energy resources. Balancing the need for powerful computing capabilities with energy efficiency is a challenge. The production and disposal of electronic components within sales intelligence solutions contribute to electronic waste. Businesses are increasingly pressured to adopt energy-efficient technologies and promote responsible disposal practices. Striking a balance between the functionality of sales intelligence tools and their environmental impact is essential. Implementing eco-friendly designs and encouraging the use of renewable energy sources in data centers are imperative steps to address these challenges, ensuring that the sales intelligence market evolves sustainably.

Navigating Regulatory Compliance

Navigating diverse regulatory landscapes and ensuring compliance with international laws is a substantial challenge for the Global Sales Intelligence Market. Sales intelligence solutions often operate across borders, requiring adherence to varying regulations related to data protection, consumer rights, and cybersecurity. Staying updated with evolving legal requirements demands continuous efforts from industry players. Non-compliance can result in legal repercussions, hampering market growth. Establishing standardized global approaches to sales intelligence regulations and fostering industry self-regulation are vital. Proactive engagement with regulatory bodies and collaborative efforts within the industry are essential to overcome these challenges, creating a conducive environment for sales intelligence innovation while ensuring legal compliance and consumer protection.

Key Market Trends

Advanced Data Integration and Analytics

The Global Sales Intelligence Market is witnessing a transformative shift driven by advanced data integration and analytics. Businesses are increasingly adopting sophisticated tools and technologies to seamlessly integrate diverse datasets, ranging from customer interactions to market trends. Advanced analytics techniques, including machine learning and predictive modeling, empower businesses to extract meaningful insights from vast datasets. This integration enables businesses to make data-driven decisions, optimize sales strategies, and gain a competitive edge. Real-time analytics, coupled with historical data analysis, provides businesses with a comprehensive view of their sales performance, customer behavior, and market trends. The trend towards advanced data integration and analytics is shaping the future of sales intelligence, enabling businesses to stay ahead in the dynamic market landscape.

Personalization and Customer-Centric Approaches

Personalization has emerged as a key trend in the Global Sales Intelligence Market. Businesses are leveraging advanced algorithms to analyze customer data and preferences, allowing for highly personalized marketing and sales strategies. By understanding individual customer needs and behaviors, businesses can tailor their offerings, communication, and sales approaches. Personalized sales intelligence solutions empower sales teams to engage with customers on a more personal level, enhancing customer satisfaction and loyalty. Customer-centric approaches not only improve sales effectiveness but also foster long-term relationships, driving customer retention and revenue growth. As businesses continue to prioritize personalization, the sales intelligence market is evolving to meet the demand for tailored solutions that cater to individual customer preferences and expectations.

Integration of Augmented Reality (AR) and Virtual Reality (VR)

The integration of Augmented Reality (AR) and Virtual Reality (VR) technologies is reshaping the Global Sales Intelligence Market. Businesses are exploring innovative ways to enhance customer engagement and sales experiences using AR and VR applications. Virtual product demonstrations, interactive sales presentations, and immersive customer experiences are becoming increasingly prevalent. These technologies enable businesses to showcase products and services in a visually engaging manner, allowing customers to make informed purchasing decisions. AR and VR integration in sales intelligence not only enhance customer interactions but also provide valuable data and insights. Businesses can analyze customer interactions within virtual environments, gaining deeper insights into customer preferences and behavior. This trend is revolutionizing the sales landscape, offering businesses unique opportunities to create memorable and impactful sales experiences.

Emphasis on Sustainable Practices and Ethical Sales

Sustainable practices and ethical sales have become prominent trends in the Global Sales Intelligence Market. Businesses are increasingly focusing on ethical sales strategies, transparent communication, and responsible business practices. Ethical sales intelligence solutions prioritize fairness, honesty, and integrity in sales interactions, ensuring that customers are treated with respect and empathy. There is a growing emphasis on sustainable practices, including eco-friendly packaging, responsible sourcing, and reduced carbon footprint. Businesses that align their sales intelligence strategies with sustainable and ethical practices are gaining a competitive advantage. Ethical sales not only enhance brand reputation but also build trust among customers. As environmental consciousness grows, businesses incorporating sustainable practices into their sales intelligence processes are well-positioned to meet customer expectations and contribute to a greener, more responsible future.

Rise of Collaborative Sales Platforms

Collaborative sales platforms have emerged as a significant trend in the Global Sales Intelligence Market. These platforms facilitate seamless collaboration and communication among sales teams, enabling them to work cohesively and share valuable insights in real time. Collaborative sales platforms integrate various sales intelligence tools, customer data, and communication channels, creating a unified environment for sales professionals. Features such as real-time messaging, document sharing, and collaborative analytics empower sales teams to collaborate effectively, leading to improved productivity and sales efficiency. Businesses are recognizing the importance of collaboration in driving sales success and are investing in collaborative sales platforms to enhance team dynamics and decision-making. This trend is reshaping how sales intelligence is utilized, emphasizing the value of teamwork and shared insights in achieving sales targets and fostering business growth.

Segmental Insights

Deployment Mode Insights

The Cloud deployment mode emerged as the dominant segment in the Global Sales Intelligence Market, and its supremacy is anticipated to persist throughout the forecast period. The widespread adoption of cloud-based solutions in the business landscape has been a driving force behind this dominance. Cloud-based Sales Intelligence offers unparalleled advantages, including scalability, flexibility, and accessibility. Businesses, irrespective of their size, are increasingly opting for cloud deployments due to the ease of implementation, cost-effectiveness, and the ability to access real-time data from anywhere in the world. Cloud-based Sales Intelligence solutions facilitate seamless collaboration among geographically dispersed teams, ensuring instant access to vital sales data and analytics. Furthermore, cloud deployments streamline software updates and maintenance, relieving businesses from the burden of managing complex IT infrastructures. This flexibility and agility align perfectly with the dynamic requirements of modern businesses, empowering them to adapt swiftly to market changes and evolving customer needs. As organizations continue to prioritize efficiency, cost-effectiveness, and real-time accessibility, the Cloud deployment mode is poised to maintain its dominance. Its ability to offer cutting-edge Sales Intelligence tools while minimizing operational complexities ensures its sustained leadership position, making it the preferred choice for businesses aiming to enhance their sales strategies and stay ahead in the competitive market landscape.

Application Insights

The Analytics and Reporting segment emerged as the dominant force in the Global Sales Intelligence Market, and its reign is anticipated to continue throughout the forecast period. This segment's supremacy can be attributed to the critical role played by advanced analytics and comprehensive reporting in shaping modern sales strategies. Businesses worldwide are increasingly recognizing the significance of data-driven decision-making, propelling the demand for sophisticated analytics tools. "Analytics and Reporting" solutions empower businesses to extract actionable insights from vast datasets, enabling them to understand customer behavior, market trends, and sales performance in real-time. These tools provide in-depth analysis, predictive modeling, and trend forecasting, allowing businesses to optimize their sales approaches and enhance overall operational efficiency. The integration of Artificial Intelligence (AI) and machine learning algorithms within analytics platforms further amplifies their capabilities, offering businesses predictive analytics and prescriptive recommendations. As companies continue to emphasize data-driven strategies, the Analytics and Reporting segment is poised to maintain its dominance. By enabling businesses to make informed decisions, identify growth opportunities, and assess market dynamics, this segment remains pivotal in shaping the future of the Global Sales Intelligence Market, ensuring its sustained leadership position in the years to come.

Regional Insights

North America emerged as the dominant region in the Global Sales Intelligence Market, a trend expected to persist through the forecast period. The region's dominance can be attributed to several factors, including the presence of a robust technological infrastructure, widespread adoption of advanced analytics, and a large number of tech-savvy businesses. North American countries, particularly the United States and Canada, have a mature market for sales intelligence solutions, with a high concentration of key market players and innovative startups. The region's businesses have been quick to embrace data-driven decision-making, recognizing the strategic importance of sales intelligence in gaining a competitive edge. The presence of a well-established IT sector, continuous technological advancements, and a high level of awareness regarding the benefits of sales intelligence solutions have further propelled the market in North America. The region boasts a diverse industrial landscape, including finance, healthcare, retail, and technology, all of which heavily rely on sales intelligence tools to optimize their operations. As businesses across sectors continue to prioritize data-driven strategies, North America is expected to maintain its dominance in the Global Sales Intelligence Market. The region's proactive approach towards technology adoption, coupled with a thriving ecosystem of innovative solutions and skilled professionals, positions it as a frontrunner in the global sales intelligence landscape.

Key Market Players

  • ZoomInfo Technologies LLC.
  • Dun & Bradstreet, Inc.
  • LinkedIn Corporation
  • API Hub, Inc
  • Lead411 Corporation
  • Lusha Systems Inc.
  • SLI Technologies Inc.
  • UpLead, LLC
  • ZenLeads Inc.
  • Gong.io Inc.

Report Scope:

In this report, the Global Sales Intelligence Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Sales Intelligence Market, By Offering:

  • Hardware
  • Services
  • Software

Sales Intelligence Market, By Deployment Mode:

  • Cloud
  • On-Premises

Sales Intelligence Market, By Application:

  • Analytics and Reporting
  • Data Management
  • Lead Management
  • Others

Sales Intelligence Market, By Organization Size:

  • SMEs
  • Large Enterprises

Sales Intelligence Market, By Vertical:

  • BFSI
  • IT & Telecom
  • Retail & E-Commerce
  • Healthcare
  • Media & Entertainment
  • Others

Sales Intelligence Market, By Region:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
    • Belgium
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Indonesia
    • Vietnam
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE
    • Turkey
    • Israel

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Sales Intelligence Market.

Available Customizations:

Global Sales Intelligence market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Formulation of the Scope
  • 2.4. Assumptions and Limitations
  • 2.5. Sources of Research
    • 2.5.1. Secondary Research
    • 2.5.2. Primary Research
  • 2.6. Approach for the Market Study
    • 2.6.1. The Bottom-Up Approach
    • 2.6.2. The Top-Down Approach
  • 2.7. Methodology Followed for Calculation of Market Size & Market Shares
  • 2.8. Forecasting Methodology
    • 2.8.1. Data Triangulation & Validation

3. Executive Summary

4. Impact of COVID-19 on Global Sales Intelligence Market

5. Voice of Customer

6. Global Sales Intelligence Market Overview

7. Global Sales Intelligence Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Offering (Software, Service)
    • 7.2.2. By Application (Analytics and Reporting, Data Management, Lead Management, Others)
    • 7.2.3. By Deployment Mode (Cloud, On-Premises)
    • 7.2.4. By Organization Size (SMEs, Large Enterprises)
    • 7.2.5. By Vertical (BFSI, IT & Telecom, Retail & E-Commerce, Healthcare, Media & Entertainment, Others)
    • 7.2.6. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
  • 7.3. By Company (2023)
  • 7.4. Market Map

8. North America Sales Intelligence Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Offering
    • 8.2.2. By Application
    • 8.2.3. By Deployment Mode
    • 8.2.4. By Organization Size
    • 8.2.5. By Vertical
    • 8.2.6. By Country
  • 8.3. North America: Country Analysis
    • 8.3.1. United States Sales Intelligence Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Offering
        • 8.3.1.2.2. By Application
        • 8.3.1.2.3. By Deployment Mode
        • 8.3.1.2.4. By Organization Size
        • 8.3.1.2.5. By Vertical
    • 8.3.2. Canada Sales Intelligence Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Offering
        • 8.3.2.2.2. By Application
        • 8.3.2.2.3. By Deployment Mode
        • 8.3.2.2.4. By Organization Size
        • 8.3.2.2.5. By Vertical
    • 8.3.3. Mexico Sales Intelligence Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Offering
        • 8.3.3.2.2. By Application
        • 8.3.3.2.3. By Deployment Mode
        • 8.3.3.2.4. By Organization Size
        • 8.3.3.2.5. By Vertical

9. Europe Sales Intelligence Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Offering
    • 9.2.2. By Application
    • 9.2.3. By Deployment Mode
    • 9.2.4. By Organization Size
    • 9.2.5. By Vertical
    • 9.2.6. By Country
  • 9.3. Europe: Country Analysis
    • 9.3.1. Germany Sales Intelligence Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Offering
        • 9.3.1.2.2. By Application
        • 9.3.1.2.3. By Deployment Mode
        • 9.3.1.2.4. By Organization Size
        • 9.3.1.2.5. By Vertical
    • 9.3.2. France Sales Intelligence Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Offering
        • 9.3.2.2.2. By Application
        • 9.3.2.2.3. By Deployment Mode
        • 9.3.2.2.4. By Organization Size
        • 9.3.2.2.5. By Vertical
    • 9.3.3. United Kingdom Sales Intelligence Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Offering
        • 9.3.3.2.2. By Application
        • 9.3.3.2.3. By Deployment Mode
        • 9.3.3.2.4. By Organization Size
        • 9.3.3.2.5. By Vertical
    • 9.3.4. Italy Sales Intelligence Market Outlook
      • 9.3.4.1. Market Size & Forecast
        • 9.3.4.1.1. By Value
      • 9.3.4.2. Market Share & Forecast
        • 9.3.4.2.1. By Offering
        • 9.3.4.2.2. By Application
        • 9.3.4.2.3. By Deployment Mode
        • 9.3.4.2.4. By Organization Size
        • 9.3.4.2.5. By Vertical
    • 9.3.5. Spain Sales Intelligence Market Outlook
      • 9.3.5.1. Market Size & Forecast
        • 9.3.5.1.1. By Value
      • 9.3.5.2. Market Share & Forecast
        • 9.3.5.2.1. By Offering
        • 9.3.5.2.2. By Application
        • 9.3.5.2.3. By Deployment Mode
        • 9.3.5.2.4. By Organization Size
        • 9.3.5.2.5. By Vertical
    • 9.3.6. Belgium Sales Intelligence Market Outlook
      • 9.3.6.1. Market Size & Forecast
        • 9.3.6.1.1. By Value
      • 9.3.6.2. Market Share & Forecast
        • 9.3.6.2.1. By Offering
        • 9.3.6.2.2. By Application
        • 9.3.6.2.3. By Deployment Mode
        • 9.3.6.2.4. By Organization Size
        • 9.3.6.2.5. By Vertical

10. South America Sales Intelligence Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Offering
    • 10.2.2. By Application
    • 10.2.3. By Deployment Mode
    • 10.2.4. By Organization Size
    • 10.2.5. By Vertical
    • 10.2.6. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Sales Intelligence Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Offering
        • 10.3.1.2.2. By Application
        • 10.3.1.2.3. By Deployment Mode
        • 10.3.1.2.4. By Organization Size
        • 10.3.1.2.5. By Vertical
    • 10.3.2. Colombia Sales Intelligence Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Offering
        • 10.3.2.2.2. By Application
        • 10.3.2.2.3. By Deployment Mode
        • 10.3.2.2.4. By Organization Size
        • 10.3.2.2.5. By Vertical
    • 10.3.3. Argentina Sales Intelligence Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Offering
        • 10.3.3.2.2. By Application
        • 10.3.3.2.3. By Deployment Mode
        • 10.3.3.2.4. By Organization Size
        • 10.3.3.2.5. By Vertical
    • 10.3.4. Chile Sales Intelligence Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Offering
        • 10.3.4.2.2. By Application
        • 10.3.4.2.3. By Deployment Mode
        • 10.3.4.2.4. By Organization Size
        • 10.3.4.2.5. By Vertical
    • 10.3.5. Peru Sales Intelligence Market Outlook
      • 10.3.5.1. Market Size & Forecast
        • 10.3.5.1.1. By Value
      • 10.3.5.2. Market Share & Forecast
        • 10.3.5.2.1. By Offering
        • 10.3.5.2.2. By Application
        • 10.3.5.2.3. By Deployment Mode
        • 10.3.5.2.4. By Organization Size
        • 10.3.5.2.5. By Vertical

11. Middle East & Africa Sales Intelligence Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Offering
    • 11.2.2. By Application
    • 11.2.3. By Deployment Mode
    • 11.2.4. By Organization Size
    • 11.2.5. By Vertical
    • 11.2.6. By Country
  • 11.3. Middle East & Africa: Country Analysis
    • 11.3.1. Saudi Arabia Sales Intelligence Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Offering
        • 11.3.1.2.2. By Application
        • 11.3.1.2.3. By Deployment Mode
        • 11.3.1.2.4. By Organization Size
        • 11.3.1.2.5. By Vertical
    • 11.3.2. UAE Sales Intelligence Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Offering
        • 11.3.2.2.2. By Application
        • 11.3.2.2.3. By Deployment Mode
        • 11.3.2.2.4. By Organization Size
        • 11.3.2.2.5. By Vertical
    • 11.3.3. South Africa Sales Intelligence Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Offering
        • 11.3.3.2.2. By Application
        • 11.3.3.2.3. By Deployment Mode
        • 11.3.3.2.4. By Organization Size
        • 11.3.3.2.5. By Vertical
    • 11.3.4. Turkey Sales Intelligence Market Outlook
      • 11.3.4.1. Market Size & Forecast
        • 11.3.4.1.1. By Value
      • 11.3.4.2. Market Share & Forecast
        • 11.3.4.2.1. By Offering
        • 11.3.4.2.2. By Application
        • 11.3.4.2.3. By Deployment Mode
        • 11.3.4.2.4. By Organization Size
        • 11.3.4.2.5. By Vertical
    • 11.3.5. Israel Sales Intelligence Market Outlook
      • 11.3.5.1. Market Size & Forecast
        • 11.3.5.1.1. By Value
      • 11.3.5.2. Market Share & Forecast
        • 11.3.5.2.1. By Offering
        • 11.3.5.2.2. By Application
        • 11.3.5.2.3. By Deployment Mode
        • 11.3.5.2.4. By Organization Size
        • 11.3.5.2.5. By Vertical

12. Asia Pacific Sales Intelligence Market Outlook

  • 12.1. Market Size & Forecast
    • 12.1.1. By Value
  • 12.2. Market Share & Forecast
    • 12.2.1. By Offering
    • 12.2.2. By Application
    • 12.2.3. By Deployment Mode
    • 12.2.4. By Organization Size
    • 12.2.5. By Vertical
    • 12.2.6. By Country
  • 12.3. Asia-Pacific: Country Analysis
    • 12.3.1. China Sales Intelligence Market Outlook
      • 12.3.1.1. Market Size & Forecast
        • 12.3.1.1.1. By Value
      • 12.3.1.2. Market Share & Forecast
        • 12.3.1.2.1. By Offering
        • 12.3.1.2.2. By Application
        • 12.3.1.2.3. By Deployment Mode
        • 12.3.1.2.4. By Organization Size
        • 12.3.1.2.5. By Vertical
    • 12.3.2. India Sales Intelligence Market Outlook
      • 12.3.2.1. Market Size & Forecast
        • 12.3.2.1.1. By Value
      • 12.3.2.2. Market Share & Forecast
        • 12.3.2.2.1. By Offering
        • 12.3.2.2.2. By Application
        • 12.3.2.2.3. By Deployment Mode
        • 12.3.2.2.4. By Organization Size
        • 12.3.2.2.5. By Vertical
    • 12.3.3. Japan Sales Intelligence Market Outlook
      • 12.3.3.1. Market Size & Forecast
        • 12.3.3.1.1. By Value
      • 12.3.3.2. Market Share & Forecast
        • 12.3.3.2.1. By Offering
        • 12.3.3.2.2. By Application
        • 12.3.3.2.3. By Deployment Mode
        • 12.3.3.2.4. By Organization Size
        • 12.3.3.2.5. By Vertical
    • 12.3.4. South Korea Sales Intelligence Market Outlook
      • 12.3.4.1. Market Size & Forecast
        • 12.3.4.1.1. By Value
      • 12.3.4.2. Market Share & Forecast
        • 12.3.4.2.1. By Offering
        • 12.3.4.2.2. By Application
        • 12.3.4.2.3. By Deployment Mode
        • 12.3.4.2.4. By Organization Size
        • 12.3.4.2.5. By Vertical
    • 12.3.5. Australia Sales Intelligence Market Outlook
      • 12.3.5.1. Market Size & Forecast
        • 12.3.5.1.1. By Value
      • 12.3.5.2. Market Share & Forecast
        • 12.3.5.2.1. By Offering
        • 12.3.5.2.2. By Application
        • 12.3.5.2.3. By Deployment Mode
        • 12.3.5.2.4. By Organization Size
        • 12.3.5.2.5. By Vertical
    • 12.3.6. Indonesia Sales Intelligence Market Outlook
      • 12.3.6.1. Market Size & Forecast
        • 12.3.6.1.1. By Value
      • 12.3.6.2. Market Share & Forecast
        • 12.3.6.2.1. By Offering
        • 12.3.6.2.2. By Application
        • 12.3.6.2.3. By Deployment Mode
        • 12.3.6.2.4. By Organization Size
        • 12.3.6.2.5. By Vertical
    • 12.3.7. Vietnam Sales Intelligence Market Outlook
      • 12.3.7.1. Market Size & Forecast
        • 12.3.7.1.1. By Value
      • 12.3.7.2. Market Share & Forecast
        • 12.3.7.2.1. By Offering
        • 12.3.7.2.2. By Application
        • 12.3.7.2.3. By Deployment Mode
        • 12.3.7.2.4. By Organization Size
        • 12.3.7.2.5. By Vertical

13. Market Dynamics

  • 13.1. Drivers
  • 13.2. Challenges

14. Market Trends and Developments

15. Company Profiles

  • 15.1. ZoomInfo Technologies LLC.
    • 15.1.1. Business Overview
    • 15.1.2. Key Revenue and Financials
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel/Key Contact Person
    • 15.1.5. Key Product/Services Offered
  • 15.2. Dun & Bradstreet, Inc.
    • 15.2.1. Business Overview
    • 15.2.2. Key Revenue and Financials
    • 15.2.3. Recent Developments
    • 15.2.4. Key Personnel/Key Contact Person
    • 15.2.5. Key Product/Services Offered
  • 15.3. LinkedIn Corporation
    • 15.3.1. Business Overview
    • 15.3.2. Key Revenue and Financials
    • 15.3.3. Recent Developments
    • 15.3.4. Key Personnel/Key Contact Person
    • 15.3.5. Key Product/Services Offered
  • 15.4. API Hub, Inc
    • 15.4.1. Business Overview
    • 15.4.2. Key Revenue and Financials
    • 15.4.3. Recent Developments
    • 15.4.4. Key Personnel/Key Contact Person
    • 15.4.5. Key Product/Services Offered
  • 15.5. Lead411 Corporation
    • 15.5.1. Business Overview
    • 15.5.2. Key Revenue and Financials
    • 15.5.3. Recent Developments
    • 15.5.4. Key Personnel/Key Contact Person
    • 15.5.5. Key Product/Services Offered
  • 15.6. Lusha Systems Inc.
    • 15.6.1. Business Overview
    • 15.6.2. Key Revenue and Financials
    • 15.6.3. Recent Developments
    • 15.6.4. Key Personnel/Key Contact Person
    • 15.6.5. Key Product/Services Offered
  • 15.7. SLI Technologies Inc.
    • 15.7.1. Business Overview
    • 15.7.2. Key Revenue and Financials
    • 15.7.3. Recent Developments
    • 15.7.4. Key Personnel/Key Contact Person
    • 15.7.5. Key Product/Services Offered
  • 15.8. UpLead, LLC
    • 15.8.1. Business Overview
    • 15.8.2. Key Revenue and Financials
    • 15.8.3. Recent Developments
    • 15.8.4. Key Personnel/Key Contact Person
    • 15.8.5. Key Product/Services Offered
  • 15.9. ZenLeads Inc.
    • 15.9.1. Business Overview
    • 15.9.2. Key Revenue and Financials
    • 15.9.3. Recent Developments
    • 15.9.4. Key Personnel/Key Contact Person
    • 15.9.5. Key Product/Services Offered
  • 15.10. Gong.io Inc.
    • 15.10.1. Business Overview
    • 15.10.2. Key Revenue and Financials
    • 15.10.3. Recent Developments
    • 15.10.4. Key Personnel/Key Contact Person
    • 15.10.5. Key Product/Services Offered

16. Strategic Recommendations

17. About Us & Disclaimer

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