The Sales Intelligence Market size was valued at USD 3.31 Bn in 2023 and is expected to reach USD 7.45 Bn by 2031 and grow at a CAGR of 10.6 % over the forecast period 2024-2031.
The global sales intelligence market is continuously growing thanks to advanced tools improving customer targeting, content optimization, and data enrichment. Integrating Artificial intelligence (AI) into sales and marketing processes unlocks vast data potential, unveiling hidden patterns for tailored approaches and personalized customer experiences. Sales teams benefit from AI automating tasks, freeing time for relationship-building and deal closures. AI enhances customer interactions through Machine learning (ML) and NLP, enabling effective communication and services such as chatbots for instant support. In B2C markets, AI-driven technologies such as chatbots have revolutionized consumer interactions. The market growth faces challenges such as industry-specific needs and privacy concerns. Despite hurdles, adoption of advanced solutions drives rapid market expansion, empowering businesses to target customers better and enhance sales performance with optimized content and data tools.
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Drivers
The rapid adoption of advanced solutions has greatly improved customer targeting in recent years.
Increasing demand for improved customer acquisition.
The demand for sales intelligence tools has also increased due to the need for deep sales insights that align with target audiences, responsibilities, and challenges.
Continuously increasing in Demand for Content Optimization and Data Enrichment Tools
The demand for content optimization and data enrichment tools has seen a significant increase in recent times. These tools play a crucial role in helping companies optimize their data, opening up new possibilities for marketing campaigns, communication channels, and improved customer targeting. Additionally, when used in conjunction with email verifiers, data-enriching tools assist businesses in cleansing their data and maintaining an accurate and usable enriched list.
Furthermore, the importance of content optimization cannot be overstated, especially considering that 68% of all online experiences begin with a simple search. It is, therefore, one of the most effective ways for business pages to rank well on search engines. Content optimization tools are instrumental in selecting the right topics and hitting the correct keywords for content creation. Moreover, it is worth noting that over 90% of businesses utilize content marketing to connect with their target audiences, resulting in approximately 4.4 million blog posts being published each day. With such a massive influx of new content daily, the risk of content overload becomes a real concern. This is where sales intelligence comes into play, helping businesses achieve top rankings for the content they publish each day or week. It is crucial to secure a spot on the first page of search results, as between 75% and 87% of web traffic is directed there.
RESTRAINS:
The challenge facing the market is the concern over data privacy and the accuracy of company and client information.
The market's expansion will be hampered by a lack of understanding of sales intelligence solutions.
OPPORTUNITY:
The rate of high-speed internet penetration is increasing.
Small businesses are increasingly adopting modern technology.
CHALLENGES
Backward economies suffer from a lack of solid infrastructure.
sophisticated processes as well as a lack of IT infrastructure, legal difficulties, and inefficient data management.
A lack of understanding in developing countries, and differences in industry-specific criteria.
Impact Of Russia Ukraine War
Russia-Ukraine conflict has created instability impacting sales intelligence, leading to reduced consumer confidence, and purchasing power. This decline in spending directly affects businesses' sales performance in affected areas, worsened by disrupted supply chains hindering product sourcing and delivery. Predicting market trends and consumer behavior becomes challenging due to political and economic uncertainties, while physical disruptions such as damaged infrastructure creates logistical obstacles for sales teams. To mitigate these effects, businesses should diversify their customer base and explore new markets for stable revenue streams amidst volatile environments.
Impact of Economic slowdown
Economic downturns Companies typically tighten budgets during economic downturns. Sales intelligence helps in optimizing resources by targeting high-potential leads or markets, ensuring efforts are focused on areas with the highest likelihood of success. Economic downturns might lead to increased competition as companies vie for a smaller pool of customers. Sales intelligence helps in understanding competitors' strategies, market positioning, and customer retention techniques, aiding in developing effective counter-strategies. Retaining existing customers becomes important during tough economic times. Sales intelligence can provide insights into customer behavior, preferences, and potential churn indicators, enabling proactive measures to retain valuable clients. In downturns, the margin for error reduces significantly. Sales intelligence, with its data-driven insights, helps in making informed decisions, minimizing risks associated with targeting the wrong markets or demographics. With fewer potential customers in a downturn, identifying and prioritizing high-quality leads becomes essential. Sales intelligence tools can assist in lead scoring and segmentation, ensuring sales efforts are directed towards the most promising prospects. Economic downturns often lead to unpredictable sales patterns. Accurate sales forecasting becomes challenging but vital for resource allocation. Sales intelligence can provide data-driven forecasts based on historical data and market trends. Sales intelligence tools need to be adaptable and agile to respond quickly to changing market conditions. They should offer real-time insights, enabling businesses to use important strategies as needed.
Segmental Analysis
By Component
Software
Services
The software component segment dominated the market in 2023, accounting for a significant revenue share of 86%. This impressive share can be attributed to the integration capabilities of sales intelligence software, which can seamlessly integrate with existing systems such as marketing platforms and Customer Relationship Management (CRM). This flexibility allows for multiple deployment options and ensures high-quality data enrichment. Furthermore, the widespread use of lead-generation software tools among organizations further drives the adoption of these solutions in the market. Numerous companies offer sales intelligence software for various applications, including lead management, data management, risk management, and data analytics.
The service segment is projected to grow with the highest compound annual growth rate (CAGR) during the forecast period due to the increasing adoption of artificial intelligence (AI). AI-powered sales intelligence services can automate tasks such as lead generation and qualification, freeing up sales professionals to focus on more strategic activities like closing deals.
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By Deployment Model
On-Premises
Cloud
By Enterprise Size
Large Enterprises
SMEs
The large enterprises segment dominated the market in 2023, accounting for a significant revenue share of 74%. This substantial share can be attributed to the escalating rates of data decay and intensifying competition among key players in various industry verticals. Moreover, the higher technological proficiency of large enterprises compared to SMEs encourages the adoption of sales intelligence tools, which help reduce sales cycles and enhance sales productivity. These tools equip large enterprises with data enrichment capabilities, enabling them to maintain a competitive edge.
The SME segment is projected to experience the highest compound annual growth rate (CAGR) during the forecast period. This growth can be attributed to the rapid acceptance of digital solutions across industries. SMEs are increasingly embracing multiple sales and marketing solutions to bolster their sales performance.
By Application
Lead Management
Data Management
Analytics & Reporting
Others
By Industry Verticals
BFSI
IT & Telecom
Retail & E-Commerce
Healthcare
Media & Entertainment
Others
Regional
In 2023, North America region Dominates the sales intelligence market, with holding revenue share of More than 44%. This impressive market share can be attributed to the presence of a huge number of sales intelligence vendors operating in the region. The tech giants and start-ups are actively developing sales intelligence platforms tailored to various industries. One such example is LinkedIn Corporation, a highly regarded and trusted provider of lead management applications. Their Sales Navigator platform offers a comprehensive solution for targeting the right companies and clients, while also facilitating personalized engagement. The retail sector is experiencing a surge in the utilization of sales intelligence, as data becomes the driving force behind understanding and anticipating customer needs. By deploying sales intelligence across different regions, retailers can gather a wealth of information from various sources such as beacons, wearables, PoS terminals, CRMs, and databases. This influx of data empowers sales teams to make informed decisions and solidify their position in the competitive sales and trade intelligence landscape.
The Asia Pacific region is expected to grow with the fastest growth in the sales intelligence market during the forecast period. This growth can be attributed to the substantial investments made by FinTech companies in sales intelligence solutions. The region is experiencing a rise in the number of AI start-ups, which is further Drive the adoption of sales intelligence to automate processes and enhance sales productivity.
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
KEY PLAYERS:
The major key players are Clearbit, Demanndbase, Inc., Dun & Bradstreet Corporation, Data Axle, HG Insights, Inside View, Oracle Corporation, ZoomInfo Technologies LLC, Zoho Corporation, LinkedIn Corporation & Other Players
| Report Attributes | Details |
| Market Size in 2023 | US$ 3.31 Bn |
| Market Size by 2031 | US$ 7.45 Bn |
| CAGR | CAGR of 10.6 % From 2024 to 2031 |
| Base Year | 2022 |
| Forecast Period | 2024-2031 |
| Historical Data | 2020-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • by Component (Software and Services) • by Deployment Model (On-Premises and Cloud) • by Enterprise Size (Large Enterprises and SMEs) • by Application (Lead Management, Data Management, Analytics & Reporting, Others) • by Industry Verticals (BFSI, IT & Telecom, Retail & E-Commerce, Healthcare Media & Entertainment, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | Clearbit, Demanndbase, Inc., Dun & Bradstreet Corporation, Data Axle, HG Insights, Inside View, Oracle Corporation, ZoomInfo Technologies LLC, Zoho Corporation, LinkedIn Corporation. |
| Key Drivers | • Sophisticated software is urgently needed to increase consumer targeting and connect rates. • The growing need for data enrichment tools to boost sales conversions |
| Market Opportunities | • The rate of high-speed internet penetration is increasing. • Small businesses are increasingly adopting modern technology. |
Ans:- The Sales Intelligence market is estimated to reach US$ 7.45 Bn by 2031.
Ans:- Lack of understanding in developing countries, and differences in industry-specific criteria and Backward economies suffer from a lack of solid infrastructure.
Ans:- North America is predicted to have the biggest market share.
Ans:- The Sales Intelligence market is to grow at a CAGR of 10.6 % during the forecast period 2024-2031.
Ans :- The primary growth tactics of Artificial Intelligence in Accounting market participants include merger and acquisition, business expansion, and product launch.
TABLE OF CONTENTS
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Industry Flowchart
3. Research Methodology
4. Market Dynamics
4.1 Drivers
4.2 Restraints
4.3 Opportunities
4.4 Challenges
5. Impact Analysis
5.1 Impact of Russia-Ukraine Crisis
5.2 Impact of Economic Slowdown on Major Countries
5.2.1 Introduction
5.2.2 United States
5.2.3 Canada
5.2.4 Germany
5.2.5 France
5.2.6 UK
5.2.7 China
5.2.8 Japan
5.2.9 South Korea
5.2.10 India
6. Value Chain Analysis
7. Porter’s 5 Forces Model
8. Pest Analysis
9. Sales Intelligence Market Segmentation, By Component
9.1 Introduction
9.2 Trend Analysis
9.3 Software
9.4 Services
10. Sales Intelligence Market Segmentation, By Deployment Model
10.1 Introduction
10.2 Trend Analysis
10.3 On-Premises
10.4 Cloud
11. Sales Intelligence Market Segmentation, By Enterprise Size
11.1 Introduction
11.2 Trend Analysis
11.3 Large Enterprises
11.4 SMEs
12. Sales Intelligence Market Segmentation, By Application
12.1 Introduction
12.2 Trend Analysis
12.3 Lead Management
12.4 Data Management
12.5 Analytics and Reporting
12.5 Others
13. Sales Intelligence Market Segmentation, By Industry Verticals
13.1 Introduction
13.2 Trend Analysis
13.3 BFSI
13.4 IT & Telecom
13.5 Retail & E-Commerce
13.6 Healthcare
13.7 Media & Entertainment
13.8 Others
14. Regional Analysis
14.1 Introduction
14.2 North America
14.2.1 Trend Analysis
14.2.2 North America Sales Intelligence Market By Country
14.2.3 North America Sales Intelligence Market By Component
14.2.4 North America Sales Intelligence Market By Deployment Model
14.2.5 North America Sales Intelligence Market By Enterprise Size
14.2.6 North America Sales Intelligence Market, By Application
14.2.7 North America Sales Intelligence Market, By Industry Verticals
14.2.8 USA
14.2.8.1 USA Sales Intelligence Market By Component
14.2.8.2 USA Sales Intelligence Market By Deployment Model
14.2.8.3 USA Sales Intelligence Market By Enterprise Size
14.2.8.4 USA Sales Intelligence Market, By Application
14.2.8.5 USA Sales Intelligence Market, By Industry Verticals
14.2.9 Canada
14.2.9.1 Canada Sales Intelligence Market By Component
14.2.9.2 Canada Sales Intelligence Market By Deployment Model
14.2.9.3 Canada Sales Intelligence Market By Enterprise Size
14.2.9.4 Canada Sales Intelligence Market, By Application
14.2.9.5 Canada Sales Intelligence Market, By Industry Verticals
14.2.10 Mexico
14.2.10.1 Mexico Sales Intelligence Market By Component
14.2.10.2 Mexico Sales Intelligence Market By Deployment Model
14.2.10.3 Mexico Sales Intelligence Market By Enterprise Size
14.2.10.4 Mexico Sales Intelligence Market, By Application
14.2.10.5 Mexico Sales Intelligence Market, By Industry Verticals
14.3 Europe
14.3.1 Trend Analysis
14.3.2 Eastern Europe
14.3.2.1 Eastern Europe Sales Intelligence Market By Country
14.3.2.2 Eastern Europe Sales Intelligence Market By Component
14.3.2.3 Eastern Europe Sales Intelligence Market By Deployment Model
14.3.2.4 Eastern Europe Sales Intelligence Market By Enterprise Size
14.3.2.5 Eastern Europe Sales Intelligence Market By Application
14.3.2.6 Eastern Europe Sales Intelligence Market, By Industry Verticals
14.3.2.7 Poland
14.3.2.7.1 Poland Sales Intelligence Market By Component
14.3.2.7.2 Poland Sales Intelligence Market By Deployment Model
14.3.2.7.3 Poland Sales Intelligence Market By Enterprise Size
14.3.2.7.4 Poland Sales Intelligence Market By Application
14.3.2.7.5 Poland Sales Intelligence Market, By Industry Verticals
14.3.2.8 Romania
14.3.2.8.1 Romania Sales Intelligence Market By Component
14.3.2.8.2 Romania Sales Intelligence Market By Deployment Model
14.3.2.8.4 Romania Sales Intelligence Market By Enterprise Size
14.3.2.8.5 Romania Sales Intelligence Market By Application
14.3.2.8.6 Romania Sales Intelligence Market, By Industry Verticals
14.3.2.9 Turkey
14.3.2.9.1 Turkey Sales Intelligence Market By Component
14.3.2.9.2 Turkey Sales Intelligence Market By Deployment Model
14.3.2.9.3 Turkey Sales Intelligence Market By Enterprise Size
14.3.2.9.4 Turkey Sales Intelligence Market By Application
14.3.2.9.5 Turkey Sales Intelligence Market, By Industry Verticals
14.3.2.10 Rest of Eastern Europe
14.3.2.10.1 Rest of Eastern Europe Sales Intelligence Market By Component
14.3.2.10.2 Rest of Eastern Europe Sales Intelligence Market By Deployment Model
14.3.2.10.3 Rest of Eastern Europe Sales Intelligence Market By Enterprise Size
14.3.2.10.4 Rest of Eastern Europe Sales Intelligence Market By Application
14.3.2.10.5 Rest of Eastern Europe Sales Intelligence Market, By Industry Verticals
14.3.3 Western Europe
14.3.3.1 Western Europe Sales Intelligence Market By Country
14.3.3.2 Western Europe Sales Intelligence Market By Component
14.3.3.3 Western Europe Sales Intelligence Market By Deployment Model
14.3.3.4 Western Europe Sales Intelligence Market By Enterprise Size
14.3.3.5 Western Europe Sales Intelligence Market By Application
14.3.3.6 Western Europe Sales Intelligence Market, By Industry Verticals
14.3.3.7 Germany
14.3.3.7.1 Germany Sales Intelligence Market By Component
14.3.3.7.2 Germany Sales Intelligence Market By Deployment Model
14.3.3.7.3 Germany Sales Intelligence Market By Enterprise Size
14.3.3.7.3 Germany Sales Intelligence Market By Application
14.3.3.7.4 Germany Sales Intelligence Market, By Industry Verticals
14.3.3.8 France
14.3.3.8.1 France Sales Intelligence Market By Component
14.3.3.8.2 France Sales Intelligence Market By Deployment Model
14.3.3.8.3 France Sales Intelligence Market By Enterprise Size
14.3.3.8.4 France Sales Intelligence Market By Application
14.3.3.8.5 France Sales Intelligence Market, By Industry Verticals
14.3.3.9 UK
14.3.3.9.1 UK Sales Intelligence Market By Component
14.3.3.9.2 UK Sales Intelligence Market By Deployment Model
14.3.3.9.3 UK Sales Intelligence Market By Enterprise Size
14.3.3.9.4 UK Sales Intelligence Market By Application
14.3.3.9.5 UK Sales Intelligence Market, By Industry Verticals
14.3.3.10 Italy
14.3.3.10.1 Italy Sales Intelligence Market By Component
14.3.3.10.2 Italy Sales Intelligence Market By Deployment Model
14.3.3.10.3 Italy Sales Intelligence Market By Enterprise Size
14.3.3.10.4 Italy Sales Intelligence Market By Application
14.3.3.10.5 Italy Sales Intelligence Market, By Industry Verticals
14.3.3.11 Spain
14.3.3.11.1 Spain Sales Intelligence Market By Component
14.3.3.11.2 Spain Sales Intelligence Market By Deployment Model
14.3.3.11.3 Spain Sales Intelligence Market By Enterprise Size
14.3.3.11.3 Spain Sales Intelligence Market By Application
14.3.3.11.4 Spain Sales Intelligence Market, By Industry Verticals
14.3.3.12 Netherlands
14.3.3.12.1 Netherlands Sales Intelligence Market By Component
14.3.3.12.2 Netherlands Sales Intelligence Market By Deployment Model
14.3.3.12.3 Netherlands Sales Intelligence Market By Enterprise Size
14.3.3.12.3 Netherlands Sales Intelligence Market By Application
14.3.3.12.4 Netherlands Sales Intelligence Market, By Industry Verticals
14.3.3.13 Switzerland
14.3.3.13.1 Switzerland Sales Intelligence Market By Component
14.3.3.13.2 Switzerland Sales Intelligence Market By Deployment Model
14.3.3.13.3 Switzerland Sales Intelligence Market By Enterprise Size
14.3.3.13.4 Switzerland Sales Intelligence Market By Application
14.3.3.13.5 Switzerland Sales Intelligence Market, By Industry Verticals
14.3.3.14 Austria
14.3.3.14.1 Austria Sales Intelligence Market By Component
14.3.3.14.2 Austria Sales Intelligence Market By Deployment Model
14.3.3.14.3 Austria Sales Intelligence Market By Enterprise Size
14.3.3.14.4 Austria Sales Intelligence Market By Application
14.3.3.14.5 Austria Sales Intelligence Market, By Industry Verticals
14.3.3.15 Rest of Western Europe
14.3.3.15.1 Rest of Western Europe Sales Intelligence Market By Component
14.3.3.15.2 Rest of Western Europe Sales Intelligence Market By Deployment Model
14.3.3.15.3 Rest of Western Europe Sales Intelligence Market By Enterprise Size
14.3.3.15.3 Rest of Western Europe Sales Intelligence Market By Application
14.3.3.15.4 Rest of Western Europe Sales Intelligence Market, By Industry Verticals
14.4 Asia-Pacific
14.4.1 Trend Analysis
14.4.2 Asia-Pacific Sales Intelligence Market By country
14.4.3 Asia-Pacific Sales Intelligence Market By Component
14.4.4 Asia-Pacific Sales Intelligence Market By Deployment Model
14.4.5 Asia-Pacific Sales Intelligence Market By Enterprise Size
14.4.6 Asia-Pacific Sales Intelligence Market By Application
14.4.7 Asia-Pacific Sales Intelligence Market, By Industry Verticals
14.4.8 China
14.4.8.1 China Sales Intelligence Market By Component
14.4.8.2 China Sales Intelligence Market By Deployment Model
14.4.8.3 China Sales Intelligence Market By Enterprise Size
14.4.8.4 China Sales Intelligence Market By Application
14.4.8.5 China Sales Intelligence Market, By Industry Verticals
14.4.9 India
14.4.9.1 India Sales Intelligence Market By Component
14.4.9.2 India Sales Intelligence Market By Deployment Model
14.4.9.3 India Sales Intelligence Market By Enterprise Size
14.4.9.4 India Sales Intelligence Market By Application
14.4.9.5 India Sales Intelligence Market, By Industry Verticals
14.4.10 Japan
14.4.10.1 Japan Sales Intelligence Market By Component
14.4.10.2 Japan Sales Intelligence Market By Deployment Model
14.4.10.3 Japan Sales Intelligence Market By Enterprise Size
14.4.10.4 Japan Sales Intelligence Market By Application
14.4.10.5 Japan Sales Intelligence Market, By Industry Verticals
14.4.11 South Korea
14.4.11.1 South Korea Sales Intelligence Market By Component
14.4.11.2 South Korea Sales Intelligence Market By Deployment Model
14.4.11.3 South Korea Sales Intelligence Market By Enterprise Size
14.4.11.4 South Korea Sales Intelligence Market By Application
14.4.11.5 South Korea Sales Intelligence Market, By Industry Verticals
14.4.12 Vietnam
14.4.12.1 Vietnam Sales Intelligence Market By Component
14.4.12.2 Vietnam Sales Intelligence Market By Deployment Model
14.4.12.3 Vietnam Sales Intelligence Market By Enterprise Size
14.4.12.4 Vietnam Sales Intelligence Market By Application
14.4.12.5 Vietnam Sales Intelligence Market, By Industry Verticals
14.4.13 Singapore
14.4.13.1 Singapore Sales Intelligence Market By Component
14.4.13.2 Singapore Sales Intelligence Market By Deployment Model
14.4.13.3 Singapore Sales Intelligence Market By Enterprise Size
14.4.13.4 Singapore Sales Intelligence Market By Application
14.4.13.5 Singapore Sales Intelligence Market, By Industry Verticals
14.4.14 Australia
14.4.14.1 Australia Sales Intelligence Market By Component
14.4.14.2 Australia Sales Intelligence Market By Deployment Model
14.4.14.3 Australia Sales Intelligence Market By Enterprise Size
14.4.14.4 Australia Sales Intelligence Market By Application
14.4.14.5 Australia Sales Intelligence Market, By Industry Verticals
14.4.15 Rest of Asia-Pacific
14.4.15.1 Rest of Asia-Pacific Sales Intelligence Market By Component
14.4.15.2 Rest of Asia-Pacific Sales Intelligence Market By Deployment Model
14.4.15.3 Rest of Asia-Pacific Sales Intelligence Market By Enterprise Size
14.4.15.4 Rest of Asia-Pacific Sales Intelligence Market By Application
14.4.15.5 Rest of Asia-Pacific Sales Intelligence Market, By Industry Verticals
14.5 Middle East & Africa
14.5.1 Trend Analysis
14.5.2 Middle East
14.5.2.1 Middle East Sales Intelligence Market By Country
14.5.2.2 Middle East Sales Intelligence Market By Component
14.5.2.3 Middle East Sales Intelligence Market By Deployment Model
14.5.2.4 Middle East Sales Intelligence Market By Enterprise Size
14.5.2.5 Middle East Sales Intelligence Market By Application
14.5.2.6 Middle East Sales Intelligence Market, By Industry Verticals
14.5.2.7 UAE
14.5.2.7.1 UAE Sales Intelligence Market By Component
14.5.2.7.2 UAE Sales Intelligence Market By Deployment Model
14.5.2.7.3 UAE Sales Intelligence Market By Enterprise Size
14.5.2.7.4 UAE Sales Intelligence Market By Application
14.5.2.7.5 UAE Sales Intelligence Market, By Industry Verticals
14.5.2.8 Egypt
14.5.2.8.1 Egypt Sales Intelligence Market By Component
14.5.2.8.2 Egypt Sales Intelligence Market By Deployment Model
14.5.2.8.3 Egypt Sales Intelligence Market By Enterprise Size
14.5.2.8.4 Egypt Sales Intelligence Market By Application
14.5.2.8.5 Egypt Sales Intelligence Market, By Industry Verticals
14.5.2.9 Saudi Arabia
14.5.2.9.1 Saudi Arabia Sales Intelligence Market By Component
14.5.2.9.2 Saudi Arabia Sales Intelligence Market By Deployment Model
14.5.2.9.3 Saudi Arabia Sales Intelligence Market By Enterprise Size
14.5.2.9.4 Saudi Arabia Sales Intelligence Market By Application
14.5.2.9.5 Saudi Arabia Sales Intelligence Market, By Industry Verticals
14.5.2.10 Qatar
14.5.2.10.1 Qatar Sales Intelligence Market By Component
14.5.2.10.2 Qatar Sales Intelligence Market By Deployment Model
14.5.2.10.3 Qatar Sales Intelligence Market By Enterprise Size
14.5.2.10.4 Qatar Sales Intelligence Market By Application
14.5.2.10.5 Qatar Sales Intelligence Market, By Industry Verticals
14.5.2.11 Rest of Middle East
14.5.2.11.1 Rest of Middle East Sales Intelligence Market By Component
14.5.2.11.2 Rest of Middle East Sales Intelligence Market By Deployment Model
14.5.2.11.3 Rest of Middle East Sales Intelligence Market By Enterprise Size
14.5.2.11.4 Rest of Middle East Sales Intelligence Market By Application
14.5.2.11.5 Rest of Middle East Sales Intelligence Market, By Industry Verticals
14.5.3 Africa
14.5.3.1 Africa Sales Intelligence Market By Country
14.5.3.2 Africa Sales Intelligence Market By Component
14.5.3.3 Africa Sales Intelligence Market By Deployment Model
14.5.3.4 Africa Sales Intelligence Market By Enterprise Size
14.5.3.5 Africa Sales Intelligence Market By Application
14.5.3.6 Africa Sales Intelligence Market, By Industry Verticals
14.5.3.7 Nigeria
14.5.3.7.1 Nigeria Sales Intelligence Market By Component
14.5.3.7.2 Nigeria Sales Intelligence Market By Deployment Model
14.5.3.7.3 Nigeria Sales Intelligence Market By Enterprise Size
14.5.3.7.4 Nigeria Sales Intelligence Market By Application
14.5.3.7.5 Nigeria Sales Intelligence Market, By Industry Verticals
14.5.3.8 South Africa
14.5.3.8.1 South Africa Sales Intelligence Market By Component
14.5.3.8.2 South Africa Sales Intelligence Market By Deployment Model
14.5.3.8.3 South Africa Sales Intelligence Market By Enterprise Size
14.5.3.8.4 South Africa Sales Intelligence Market By Application
14.5.3.8.5 South Africa Sales Intelligence Market, By Industry Verticals
14.5.3.9 Rest of Africa
14.5.3.9.1 Rest of Africa Sales Intelligence Market By Component
14.5.3.9.2 Rest of Africa Sales Intelligence Market By Deployment Model
14.5.3.9.3 Rest of Africa Sales Intelligence Market By Enterprise Size
14.5.3.9.4 Rest of Africa Sales Intelligence Market By Application
14.5.3.9.5 Rest of Africa Sales Intelligence Market, By Industry Verticals
14.6 Latin America
14.6.1 Trend Analysis
14.6.2 Latin America Sales Intelligence Market By country
14.6.3 Latin America Sales Intelligence Market By Component
14.6.4 Latin America Sales Intelligence Market By Deployment Model
14.6.5 Latin America Sales Intelligence Market By Enterprise Size
14.6.6 Latin America Sales Intelligence Market By Application
14.6.7 Latin America Sales Intelligence Market, By Industry Verticals
14.6.8 Brazil
14.6.8.1 Brazil Sales Intelligence Market By Component
14.6.8.2 Brazil Sales Intelligence Market By Deployment Model
14.6.8.3 Brazil Sales Intelligence Market By Enterprise Size
14.6.8.4 Brazil Sales Intelligence Market By Application
14.6.8.5 Brazil Sales Intelligence Market, By Industry Verticals
14.6.9 Argentina
14.6.9.1 Argentina Sales Intelligence Market By Component
14.6.9.2 Argentina Sales Intelligence Market By Deployment Model
14.6.9.3 Argentina Sales Intelligence Market By Enterprise Size
14.6.9.3 Argentina Sales Intelligence Market By Application
14.6.9.4 Argentina Sales Intelligence Market, By Industry Verticals
14.6.10 Colombia
14.6.10.1 Colombia Sales Intelligence Market By Component
14.6.10.2 Colombia Sales Intelligence Market By Deployment Model
14.6.10.3 Colombia Sales Intelligence Market By Enterprise Size
14.6.10.3 Colombia Sales Intelligence Market By Application
14.6.10.4 Colombia Sales Intelligence Market, By Industry Verticals
14.6.11 Rest of Latin America
14.6.11.1 Rest of Latin America Sales Intelligence Market By Component
14.6.11.2 Rest of Latin America Sales Intelligence Market By Deployment Model
14.6.11.3 Rest of Latin America Sales Intelligence Market By Enterprise Size
14.6.11.3 Rest of Latin America Sales Intelligence Market By Application
14.6.11.4 Rest of Latin America Sales Intelligence Market, By Industry Verticals
15. Company Profiles
15.1 Demanndbase, Inc.
15.1.1 Company Overview
15.1.2 Financial
15.1.3 Products/ Services Offered
15.1.4 SWOT Analysis
15.1.5 The SNS View
15.2 Dun & Bradstreet Corporation
15.2.1 Company Overview
15.2.2 Financial
15.2.3 Products/ Services Offered
15.2.4 SWOT Analysis
15.2.5 The SNS View
15.3 Data Axle
15.3.1 Company Overview
15.3.2 Financial
15.3.3 Products/ Services Offered
15.3.4 SWOT Analysis
15.3.5 The SNS View
15.4 HG Insights
15.4.1 Company Overview
15.4.2 Financial
15.4.3 Products/ Services Offered
15.4.4 SWOT Analysis
15.4.5 The SNS View
15.5 Inside View
15.5.1 Company Overview
15.5.2 Financial
15.5.3 Products/ Services Offered
15.5.4 SWOT Analysis
15.5.5 The SNS View
15.6 Oracle Corporation
15.6.1 Company Overview
15.6.2 Financial
15.6.3 Products/ Services Offered
15.6.4 SWOT Analysis
15.6.5 The SNS View
15.7 ZoomInfo Technologies LLC
15.7.1 Company Overview
15.7.2 Financial
15.7.3 Products/ Services Offered
15.7.4 SWOT Analysis
15.7.5 The SNS View
15.8 Zoho Corporation
15.8.1 Company Overview
15.8.2 Financial
15.8.3 Products/ Services Offered
15.8.4 SWOT Analysis
15.8.5 The SNS View
15.9 LinkedIn Corporation
15.9.1 Company Overview
15.9.2 Financial
15.9.3 Products/ Services Offered
15.9.4 SWOT Analysis
15.9.5 The SNS View
15.10 UpLead
15.10.1 Company Overview
15.10.2 Financial
15.10.3 Products/ Services Offered
15.10.4 SWOT Analysis
15.10.5 The SNS View
16. Competitive Landscape
16.1 Competitive Benchmarking
16.2 Market Share Analysis
16.3 Recent Developments
16.3.1 Industry News
16.3.2 Company News
16.3.3 Mergers & Acquisitions
17. Use Case and Best Practices
18. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
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