[324 Pages Report] The sales intelligence software market is anticipated to record a CAGR of 10.4% during the forecast period (2022 to 2032). The sales intelligence software market is expected to be valued at US$ 3.1 Billion in 2022 and is likely to reach US$ 8.4 Billion by 2032.
The growing momentum of the sales intelligence software market can be majorly attributed to its feature of improving the quality and quantity of sales leads by utilizing data to identify new opportunities.
The rising demand for sales intelligence software is also due to the infusion of Artificial Intelligence (AI) and machine learning (ML) capabilities to automate pre-sales processes. Increased use of company technographic to identify buying intent and improve prospecting, is expected to create numerous sales intelligence software market opportunities.
| Attributes | Details |
|---|---|
| Sales Intelligence Software Market CAGR (2022 to 2032) | 10.4% |
| Sales Intelligence Software Market Value (2022) | US$ 3.1 Billion |
| Sales Intelligence Software Market Value (2032) | US$ 8.4 Billion |
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Covid-19 affected nearly every aspect of our lives, and while its personal impact is fading, pandemic-related business adaptations are likely to shape the sales intelligence software market future trends. The COVID-19 outbreak has posed numerous challenges and uncertainties to the sales intelligence software market.
On the flip side, the pandemic has had a positive impact on the sales intelligence software market growth, owing to an increase in investments by various companies in emerging technologies such as AI and machine learning.
This pandemic has also accelerated certain activities related to the speed of automation and digital transformation leading to a higher rate of adoption of sales intelligence software in several countries.
Several industry verticals have demonstrated a greater level of acceptance for digital approaches to lead generation and client interaction thereby shifting to a virtual mode, facilitating the sales intelligence software market outlook. In addition, sales intelligence software market size is enlarging as key players are leveraging technologies such as to boost productivity and resilience.
Sales intelligence software enables businesses to make better use of internal and external data in order to increase sales and improve sales processes thereby augmenting the demand for sales intelligence software.
The rapid adoption of advanced solutions for improved customer targeting drives the global sales intelligence software market growth forward. Furthermore, sales intelligence software market key trends & opportunities are significantly fostered by the increased demand for content optimization and data enrichment tools.
However, differences in data privacy, the accuracy rate of company/client information, and industry-specific requirements stymie the sales intelligence software market size.
On the contrary, the incorporation of AI and ML capabilities to automate pre-sales processes is expected to provide lucrative sales intelligence software market opportunities during the forecast period. One of the major factors impeding the sales intelligence software adoption trends is a lack of awareness about the software.
Technological advancements are generating numerous sales intelligence software market trends and forecasts by aiding businesses in obtaining a clear picture of their clients, which is critical for effective sales and marketing.
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The software segment is projected to take the lead in the sales intelligence software market with a CAGR of 10.1% during the forecast period. To create sales intelligence software, the developers use analytical algorithms and natural language processing (NLP) technology to find meaning in massive amounts of unstructured textual data. This is the primary driver of the market's expansion in software sales intelligence.
Based on application, the lead management segment is expected to be at the forefront of the sales intelligence software market, advancing at a CAGR of 9.7% from 2022 to 2032.
The adoption of sales intelligence software for lead management is high as lead management provides coverage on the entire process starting from lead generation, gathering insights on leads, and lead scoring to build a comprehensive list of leads.
Lead generation also provides them with effective lead scoring and account-level insights, thereby helping them improve their prospecting strategies, which is another factor that adds to the sales intelligence software adoption trends.
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| Regions | CAGR (2022 to 2032) |
|---|---|
| USA Market | 10.2% |
| UK Market | 9.4% |
| China Market | 9.9% |
| Japan Market | 8.9% |
| India Market | 7.6% |
Due to increased technology adoption in the US for improving sales productivity and the presence of a large number of sales intelligence vendors, the US is expected to account for the largest sales intelligence software market share.
The USA sales intelligence software market is anticipated to advance at a CAGR of 10.2% during the forecast period (2022 to 2032). However, China and Japan markets are expected to grow rapidly during the forecast period, owing to an increase in demand for sales intelligence solutions in the BFSI sector to improve customer experience.
Sales intelligence is becoming a viable solution for detecting customer behavior in the regional insurance industry, which is predicted to propel the sales intelligence software market size in China and Japan.
Market players are focusing on growing their customer base in order to gain a competitive advantage in the sales intelligence software market.
As a result, key players are undertaking a number of strategic initiatives, such as mergers and acquisitions, partnerships, and collaborations with other industry key players thereby expanding their sales intelligence software market share.
A couple of such recent developments in the sales intelligence software market are:
This merger was expected to result in improved business solutions around the world and create numerous sales intelligence software market opportunities.
The sales intelligence software market is projected to register a CAGR of 10.4% during the forecast period (2022 to 2032).
During the projected period, the USA is expected to lead the software intelligence software market with a CAGR of 10.2% through 2032.
Software segment is expected to dominate the sales intelligence software market over the forecast period based on offering.
The sales intelligence software market is expected to be valued at US$ 8.4 Billion by 2032.
The sales intelligence software market size accounted for around US$ 2.8 Billion in 2021.
1. Executive Summary | Sales Intelligence Software Market
1.1. Global Market Outlook
1.2. Summary of Statistics
1.3. Key Market Characteristics & Attributes
1.4. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Risks and Trends Assessment
3.1. Risk Assessment
3.1.1. COVID-19 Crisis and Impact on Demand
3.1.2. COVID-19 Impact Benchmark with Previous Crisis
3.1.3. Impact on Market Value (US$ Million)
3.1.4. Assessment by Key Countries
3.1.5. Assessment by Key Market Segments
3.1.6. Action Points and Recommendation for Suppliers
3.2. Key Trends Impacting the Market
3.3. Formulation and Product Development Trends
4. Market Background
4.1. Market, by Key Countries
4.2. Market Opportunity Assessment (US$ Million)
4.2.1. Total Available Market
4.2.2. Serviceable Addressable Market
4.2.3. Serviceable Obtainable Market
4.3. Market Scenario Forecast
4.3.1. Demand in Optimistic Scenario
4.3.2. Demand in Likely Scenario
4.3.3. Demand in Conservative Scenario
4.4. Investment Feasibility Analysis
4.4.1. Investment in Established Markets
4.4.1.1. In Short Term
4.4.1.2. In Long Term
4.4.2. Investment in Emerging Markets
4.4.2.1. In Short Term
4.4.2.2. In Long Term
4.5. Forecast Factors - Relevance & Impact
4.5.1. Top Companies Historical Growth
4.5.2. Growth in Automation, By Country
4.5.3. Adoption Rate, By Country
4.6. Market Dynamics
4.6.1. Market Driving Factors and Impact Assessment
4.6.2. Prominent Market Challenges and Impact Assessment
4.6.3. Market Opportunities
4.6.4. Prominent Trends in the Global Market & Their Impact Assessment
5. Key Success Factors
5.1. Manufacturers’ Focus on Low Penetration High Growth Markets
5.2. Banking on with Segments High Incremental Opportunity
5.3. Peer Benchmarking
6. Global Market Demand Analysis 2015 to 2021 and Forecast, 2022 to 2032
6.1. Historical Market Analysis, 2015 to 2021
6.2. Current and Future Market Projections, 2022 to 2032
6.3. Y-o-Y Growth Trend Analysis
7. Global Market Value Analysis 2015 to 2021 and Forecast, 2022 to 2032
7.1. Historical Market Value (US$ Million) Analysis, 2015 to 2021
7.2. Current and Future Market Value (US$ Million) Projections, 2022 to 2032
7.2.1. Y-o-Y Growth Trend Analysis
7.2.2. Absolute $ Opportunity Analysis
8. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Offering
8.1. Introduction / Key Findings
8.2. Historical Market Value (US$ Million) and Analysis By Offering, 2015 to 2021
8.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Offering, 2022 to 2032
8.3.1. Software
8.3.2. Services
8.4. Market Attractiveness Analysis By Offering
9. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Application
9.1. Introduction / Key Findings
9.2. Historical Market Value (US$ Million) and Analysis By Application, 2015 to 2021
9.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Application, 2022 to 2032
9.3.1. Analytics and Reporting
9.3.2. Data Management
9.3.3. Lead Management
9.3.4. Others
9.4. Market Attractiveness Analysis By Application
10. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Deployment Mode
10.1. Introduction / Key Findings
10.2. Historical Market Value (US$ Million) and Analysis By Deployment Mode, 2015 to 2021
10.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Deployment Mode, 2022 to 2032
10.3.1. Cloud
10.3.2. On-Premises
10.4. Market Attractiveness Analysis By Deployment Mode
11. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Organization Size
11.1. Introduction / Key Findings
11.2. Historical Market Value (US$ Million) and Analysis By Organization Size, 2015 to 2021
11.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Organization Size, 2022 to 2032
11.3.1. SMEs
11.3.2. Large Enterprises
11.4. Market Attractiveness Analysis By Organization Size
12. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Vertical
12.1. Introduction / Key Findings
12.2. Historical Market Value (US$ Million) and Analysis By Vertical, 2015 to 2021
12.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Vertical, 2022 to 2032
12.3.1. BFSI
12.3.2. IT & Telecom
12.3.3. Retail & E-Commerce
12.3.4. Healthcare
12.3.5. Media & Entertainment
12.3.6. Others
12.4. Market Attractiveness Analysis By Vertical
13. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Region
13.1. Introduction
13.2. Historical Market Value (US$ Million) and Analysis By Region, 2015 to 2021
13.3. Current Market Size (US$ Million) & Analysis and Forecast By Region, 2022 to 2032
13.3.1. North America
13.3.2. Latin America
13.3.3. Europe
13.3.4. Asia Pacific
13.3.5. Middle East and Africa (MEA)
13.4. Market Attractiveness Analysis By Region
14. North America Market Analysis 2015 to 2021 and Forecast 2022 to 2032
14.1. Introduction
14.2. Pricing Analysis
14.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021
14.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
14.4.1. By Country
14.4.1.1. United States of America
14.4.1.2. Canada
14.4.1.3. Rest of North America
14.4.2. By Deployment Mode
14.4.3. By Offering
14.4.4. By Application
14.4.5. By Organization Size
14.4.6. By Vertical
14.5. Market Attractiveness Analysis
14.5.1. By Country
14.5.2. By Deployment Mode
14.5.3. By Offering
14.5.4. By Application
14.5.5. By Organization Size
14.5.6. By Vertical
15. Latin America Market Analysis 2015 to 2021 and Forecast 2022 to 2032
15.1. Introduction
15.2. Pricing Analysis
15.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021
15.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
15.4.1. By Country
15.4.1.1. Brazil
15.4.1.2. Mexico
15.4.1.3. Rest of Latin America
15.4.2. By Deployment Mode
15.4.3. By Offering
15.4.4. By Application
15.4.5. By Organization Size
15.4.6. By Vertical
15.5. Market Attractiveness Analysis
15.5.1. By Country
15.5.2. By Deployment Mode
15.5.3. By Offering
15.5.4. By Application
15.5.5. By Organization Size
15.5.6. By Vertical
16. Europe Market Analysis 2015 to 2021 and Forecast 2022 to 2032
16.1. Introduction
16.2. Pricing Analysis
16.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021
16.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
16.4.1. By Country
16.4.1.1. Germany
16.4.1.2. France
16.4.1.3. United Kingdom
16.4.1.4. Italy
16.4.1.5. Russia
16.4.1.6. Rest of Europe
16.4.2. By Deployment Mode
16.4.3. By Offering
16.4.4. By Application
16.4.5. By Organization Size
16.4.6. By Vertical
16.5. Market Attractiveness Analysis
16.5.1. By Country
16.5.2. By Deployment Mode
16.5.3. By Offering
16.5.4. By Application
16.5.5. By Organization Size
16.5.6. By Vertical
17. Asia Pacific Market Analysis 2015 to 2021 and Forecast 2022 to 2032
17.1. Introduction
17.2. Pricing Analysis
17.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021
17.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
17.4.1. By Country
17.4.1.1. China
17.4.1.2. Japan
17.4.1.3. South Korea
17.4.1.4. Rest of Asia Pacific
17.4.2. By Deployment Mode
17.4.3. By Offering
17.4.4. By Application
17.4.5. By Organization Size
17.4.6. By Vertical
17.5. Market Attractiveness Analysis
17.5.1. By Country
17.5.2. By Deployment Mode
17.5.3. By Offering
17.5.4. By Application
17.5.5. By Organization Size
17.5.6. By Vertical
18. Middle East and Africa Market Analysis 2015 to 2021 and Forecast 2022 to 2032
18.1. Introduction
18.2. Pricing Analysis
18.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021
18.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
18.4.1. By Country
18.4.1.1. GCC Countries
18.4.1.2. South Africa
18.4.1.3. Turkey
18.4.1.4. Rest of Middle East and Africa
18.4.2. By Deployment Mode
18.4.3. By Offering
18.4.4. By Application
18.4.5. By Organization Size
18.4.6. By Vertical
18.5. Market Attractiveness Analysis
18.5.1. By Country
18.5.2. By Deployment Mode
18.5.3. By Offering
18.5.4. By Application
18.5.5. By Organization Size
18.5.6. By Vertical
19. Key Countries Market Analysis 2015 to 2021 and Forecast 2022 to 2032
19.1. Introduction
19.1.1. Market Value Proportion Analysis, By Key Countries
19.1.2. Global Vs. Country Growth Comparison
19.2. US Market Analysis
19.2.1. Value Proportion Analysis by Market Taxonomy
19.2.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.2.2.1. By Deployment Mode
19.2.2.2. By Offering
19.2.2.3. By Application
19.2.2.4. By Organization Size
19.2.2.5. By Vertical
19.3. Canada Market Analysis
19.3.1. Value Proportion Analysis by Market Taxonomy
19.3.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.3.2.1. By Deployment Mode
19.3.2.2. By Offering
19.3.2.3. By Application
19.3.2.4. By Organization Size
19.3.2.5. By Vertical
19.4. Mexico Market Analysis
19.4.1. Value Proportion Analysis by Market Taxonomy
19.4.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.4.2.1. By Deployment Mode
19.4.2.2. By Offering
19.4.2.3. By Application
19.4.2.4. By Organization Size
19.4.2.5. By Vertical
19.5. Brazil Market Analysis
19.5.1. Value Proportion Analysis by Market Taxonomy
19.5.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.5.2.1. By Deployment Mode
19.5.2.2. By Offering
19.5.2.3. By Application
19.5.2.4. By Organization Size
19.5.2.5. By Vertical
19.6. Germany Market Analysis
19.6.1. Value Proportion Analysis by Market Taxonomy
19.6.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.6.2.1. By Deployment Mode
19.6.2.2. By Offering
19.6.2.3. By Application
19.6.2.4. By Organization Size
19.6.2.5. By Vertical
19.7. France Market Analysis
19.7.1. Value Proportion Analysis by Market Taxonomy
19.7.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.7.2.1. By Deployment Mode
19.7.2.2. By Offering
19.7.2.3. By Application
19.7.2.4. By Organization Size
19.7.2.5. By Vertical
19.8. Italy Market Analysis
19.8.1. Value Proportion Analysis by Market Taxonomy
19.8.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.8.2.1. By Deployment Mode
19.8.2.2. By Offering
19.8.2.3. By Application
19.8.2.4. By Organization Size
19.8.2.5. By Vertical
19.9. Russia Market Analysis
19.9.1. Value Proportion Analysis by Market Taxonomy
19.9.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.9.2.1. By Deployment Mode
19.9.2.2. By Offering
19.9.2.3. By Application
19.9.2.4. By Organization Size
19.9.2.5. By Vertical
19.10. UK Market Analysis
19.10.1. Value Proportion Analysis by Market Taxonomy
19.10.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.10.2.1. By Deployment Mode
19.10.2.2. By Offering
19.10.2.3. By Application
19.10.2.4. By Organization Size
19.10.2.5. By Vertical
19.11. China Market Analysis
19.11.1. Value Proportion Analysis by Market Taxonomy
19.11.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.11.2.1. By Deployment Mode
19.11.2.2. By Offering
19.11.2.3. By Application
19.11.2.4. By Organization Size
19.11.2.5. By Vertical
19.12. Japan Market Analysis
19.12.1. Value Proportion Analysis by Market Taxonomy
19.12.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.12.2.1. By Deployment Mode
19.12.2.2. By Offering
19.12.2.3. By Application
19.12.2.4. By Organization Size
19.12.2.5. By Vertical
19.13. South Korea Market Analysis
19.13.1. Value Proportion Analysis by Market Taxonomy
19.13.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.13.2.1. By Deployment Mode
19.13.2.2. By Offering
19.13.2.3. By Application
19.13.2.4. By Organization Size
19.13.2.5. By Vertical
19.14. GCC Countries Market Analysis
19.14.1. Value Proportion Analysis by Market Taxonomy
19.14.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.14.2.1. By Deployment Mode
19.14.2.2. By Offering
19.14.2.3. By Application
19.14.2.4. By Organization Size
19.14.2.5. By Vertical
19.15. South Africa Market Analysis
19.15.1. Value Proportion Analysis by Market Taxonomy
19.15.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.15.2.1. By Deployment Mode
19.15.2.2. By Offering
19.15.2.3. By Application
19.15.2.4. By Organization Size
19.15.2.5. By Vertical
19.16. Turkey Market Analysis
19.16.1. Value Proportion Analysis by Market Taxonomy
19.16.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.16.2.1. By Deployment Mode
19.16.2.2. By Offering
19.16.2.3. By Application
19.16.2.4. By Organization Size
19.16.2.5. By Vertical
19.16.3. Competition Landscape and Player Concentration in the Country
20. Market Structure Analysis
20.1. Market Analysis by Tier of Companies
20.2. Market Concentration
20.3. Market Share Analysis of Top Players
20.4. Market Presence Analysis
20.4.1. By Regional Footprint of Players
20.4.2. Product Footprint by Players
21. Competition Analysis
21.1. Competition Dashboard
21.2. Competition Benchmarking
21.3. Competition Deep Dive
21.3.1. Clearbit
21.3.1.1. Overview
21.3.1.2. Product Portfolio
21.3.1.3. Sales Footprint
21.3.1.4. Strategy Overview
21.3.2. Demandbase Inc.
21.3.2.1. Overview
21.3.2.2. Product Portfolio
21.3.2.3. Sales Footprint
21.3.2.4. Strategy Overview
21.3.3. Dnb
21.3.3.1. Overview
21.3.3.2. Product Portfolio
21.3.3.3. Sales Footprint
21.3.3.4. Strategy Overview
21.3.4. DueDil Ltd
21.3.4.1. Overview
21.3.4.2. Product Portfolio
21.3.4.3. Sales Footprint
21.3.4.4. Strategy Overview
21.3.5. EverString Technology
21.3.5.1. Overview
21.3.5.2. Product Portfolio
21.3.5.3. Sales Footprint
21.3.5.4. Strategy Overview
21.3.6. FullContact
21.3.6.1. Overview
21.3.6.2. Product Portfolio
21.3.6.3. Sales Footprint
21.3.6.4. Strategy Overview
21.3.7. Gryphon Networks
21.3.7.1. Overview
21.3.7.2. Product Portfolio
21.3.7.3. Sales Footprint
21.3.7.4. Strategy Overview
21.3.8. Infogroup
21.3.8.1. Overview
21.3.8.2. Product Portfolio
21.3.8.3. Sales Footprint
21.3.8.4. Strategy Overview
21.3.9. Inside view
21.3.9.1. Overview
21.3.9.2. Product Portfolio
21.3.9.3. Sales Footprint
21.3.9.4. Strategy Overview
21.3.10. LeadGenius
21.3.10.1. Overview
21.3.10.2. Product Portfolio
21.3.10.3. Sales Footprint
21.3.10.4. Strategy Overview
22. Assumptions and Acronyms Used
23. Research Methodology
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Sales Intelligence Software Market
