[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
