Success.ai’s Company Data Solutions provide businesses with powerful, enterprise-ready B2B company datasets, enabling you to unlock insights on over 28 million verified company profiles. Our solution is ideal for organizations seeking accurate and detailed B2B contact data, whether you’re targeting large enterprises, mid-sized businesses, or small business contact data.

Success.ai offers B2B marketing data across industries and geographies, tailored to fit your specific business needs. With our white-glove service, you’ll receive curated, ready-to-use company datasets without the hassle of managing data platforms yourself. Whether you’re looking for UK B2B data or global datasets, Success.ai ensures a seamless experience with the most accurate and up-to-date information in the market.

Why Choose Success.ai’s Company Data Solution? At Success.ai, we prioritize quality and relevancy. Every company profile is AI-validated for a 99% accuracy rate and manually reviewed to ensure you're accessing actionable and GDPR-compliant data. Our price match guarantee ensures you receive the best deal on the market, while our white-glove service provides personalized assistance in sourcing and delivering the data you need.

Why Choose Success.ai?

• Best Price Guarantee: We offer industry-leading pricing and beat any competitor.
• Global Reach: Access over 28 million verified company profiles across 195 countries.
• Comprehensive Data: Over 15 data points, including company size, industry, funding, and technologies used.
• Accurate & Verified: AI-validated with a 99% accuracy rate, ensuring high-quality data.
• Real-Time Updates: Stay ahead with continuously updated company information.
• Ethically Sourced Data: Our B2B data is compliant with global privacy laws, ensuring responsible use.
• Dedicated Service: Receive personalized, curated data without the hassle of managing platforms.
• Tailored Solutions: Custom datasets are built to fit your unique business needs and industries.

Our database spans 195 countries and covers 28 million public and private company profiles, with detailed insights into each company’s structure, size, funding history, and key technologies. We provide B2B company data for businesses of all sizes, from small business contact data to large corporations, with extensive coverage in regions such as North America, Europe, Asia-Pacific, and Latin America.

Comprehensive Data Points: Success.ai delivers in-depth information on each company, with over 15 data points, including:

Company Name: Get the full legal name of the company. LinkedIn URL: Direct link to the company's LinkedIn profile. Company Domain: Website URL for more detailed research. Company Description: Overview of the company’s services and products. Company Location: Geographic location down to the city, state, and country. Company Industry: The sector or industry the company operates in. Employee Count: Number of employees to help identify company size. Technologies Used: Insights into key technologies employed by the company, valuable for tech-based outreach. Funding Information: Track total funding and the most recent funding dates for investment opportunities. Maximize Your Sales Potential: With Success.ai’s B2B contact data and company datasets, sales teams can build tailored lists of target accounts, identify decision-makers, and access real-time company intelligence. Our curated datasets ensure you’re always focused on high-value leads—those who are most likely to convert into clients. Whether you’re conducting account-based marketing (ABM), expanding your sales pipeline, or looking to improve your lead generation strategies, Success.ai offers the resources you need to scale your business efficiently.

Tailored for Your Industry: Success.ai serves multiple industries, including technology, healthcare, finance, manufacturing, and more. Our B2B marketing data solutions are particularly valuable for businesses looking to reach professionals in key sectors. You’ll also have access to small business contact data, perfect for reaching new markets or uncovering high-growth startups.

From UK B2B data to contacts across Europe and Asia, our datasets provide global coverage to expand your business reach and identify new markets. With continuous data updates, Success.ai ensures you’re always working with the freshest information.

Key Use Cases:

• Targeted Lead Generation: Build accurate lead lists by filtering data by company size, industry, or location. Target decision-makers in key industries to streamline your B2B sales outreach.
• Account-Based Marketing (ABM): Use B2B company data to personalize marketing campaigns, focusing on high-value accounts and improving conversion rates.
• Investment Research: Track company growth, funding rounds, and employee trends to identify investment opportunities or potential M&A targets.
• Market Research: Enrich your market intelligence initiatives by gain...

In France, *** retail enterprises used artificial intelligence (AI) technologies for marketing and sales purposes as of 2021. Data showed that AI served *** small companies with ** to ** employees and *** companies with ** to ** employees. Additionally, some ** big companies with *** or more employees used AI systems for marketing and sales activities.

Maximize your business potential with Success.ai's LinkedIn Company and Contact Data, a comprehensive solution designed to empower your business with strategic insights drawn from one of the largest professional networks in the world. This extensive dataset includes in-depth profiles from over 700 million professionals and 70 million companies globally, making it a goldmine for businesses aiming to enhance their marketing strategies, refine competitive intelligence, and drive robust B2B lead generation.

Transform Your Email Marketing Efforts With Success.ai, tap into highly detailed and direct contact data to personalize your communications effectively. By accessing a vast array of email addresses, personalize your outreach efforts to dramatically improve engagement rates and conversion possibilities.

Data Enrichment for Comprehensive Insights Integrate enriched LinkedIn data seamlessly into your CRM or any analytical system to gain a comprehensive understanding of your market landscape. This enriched view helps you navigate through complex business environments, enhancing decision-making and strategic planning.

Elevate Your Online Marketing Deploy targeted and precision-based online marketing campaigns leveraging detailed professional data from LinkedIn. Tailor your messages and offers based on specific professional demographics, industry segments, and more, to optimize engagement and maximize online marketing ROI.

Digital Advertising Optimized Utilize LinkedIn’s precise company and professional data to create highly targeted digital advertising campaigns. By understanding the profiles of key decision-makers, tailor your advertising strategies to resonate well with your target audience, ensuring high impact and better expenditure returns.

Accelerate B2B Lead Generation Identify and connect directly with key stakeholders and decision-makers to shorten your sales cycles and close deals quicker. With access to high-level contacts in your industry, streamline your lead generation process and enhance the efficiency of your sales funnel.

Why Partner with Success.ai for LinkedIn Data? - Competitive Pricing Assurance: Success.ai guarantees the most aggressive pricing, ensuring you receive unbeatable value for your investment in high-quality professional data. - Global Data Access: With coverage extending across 195 countries, tap into a rich reservoir of professional information, covering diverse industries and market segments. - High Data Accuracy: Backed by advanced AI technology and manual validation processes, our data accuracy rate stands at 99%, providing you with reliable and actionable insights. - Custom Data Integration: Receive tailored data solutions that fit seamlessly into your existing business processes, delivered in formats such as CSV and Parquet for easy integration. - Ethical Data Compliance: Our data sourcing and processing practices are fully compliant with global standards, ensuring ethical and responsible use of data. - Industry-wide Applications: Whether you’re in technology, finance, healthcare, or any other sector, our data solutions are designed to meet your specific industry needs.

Strategic Use Cases for Enhanced Business Performance - Email Marketing: Leverage accurate contact details for personalized and effective email marketing campaigns. - Online Marketing and Digital Advertising: Use detailed demographic and professional data to refine your online presence and digital ad targeting. - Data Enrichment and B2B Lead Generation: Enhance your databases and accelerate your lead generation with enriched, up-to-date data. - Competitive Intelligence and Market Research: Stay ahead of the curve by using our data for deep market analysis and competitive research.

With Success.ai, you’re not just accessing data; you’re unlocking a gateway to strategic business growth and enhanced market positioning. Start with Success.ai today to leverage our LinkedIn Company Data and transform your business operations with precision and efficiency.

Did we mention that we'll beat any price on the market? Try us.

Snapshot img

Artificial Intelligence In Marketing Size 2024-2028

The artificial intelligence in marketing size is forecast to increase by USD 41.02 billion, at a CAGR of 30.9% between 2023 and 2028.

The Artificial Intelligence (AI) market in marketing is experiencing significant growth, driven by the increasing adoption of cloud-based applications and services. This shift towards cloud solutions enables businesses to leverage AI technologies more efficiently and cost-effectively, enhancing their marketing capabilities. Furthermore, the ongoing digitalization and expanding internet penetration are fueling the demand for AI solutions in marketing, as companies seek to engage with customers more effectively in the digital space. However, the market's growth is not without challenges. The lack of skilled professionals poses a significant obstacle to wider AI adoption in marketing.
As AI applications become more complex, the need for specialized expertise in areas such as machine learning, data analytics, and programming grows. Companies must invest in upskilling their workforce or partner with external experts to overcome this challenge and fully capitalize on the opportunities presented by AI in marketing.

What will be the Size of the Artificial Intelligence In Marketing during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
Request Free Sample

Artificial intelligence (AI) continues to reshape marketing landscapes, with dynamic market activities unfolding across various sectors. Machine learning models optimize digital marketing strategies, enabling predictive analytics for marketing ROI and customer engagement. Brands build stronger connections through AI-powered personalization and sentiment analysis. Data privacy regulations necessitate transparency and accountability, influencing marketing technology stacks and Data Security measures. A/B testing and conversion rate optimization are enhanced through AI-driven insights, while marketing automation workflows streamline customer relationship management. Marketing analytics software and dashboards provide data-driven insights, enabling marketing budget allocation and multi-channel marketing strategies. Behavioral targeting and customer journey mapping are refined through AI, enhancing marketing attribution models and email marketing automation.

Virtual assistants and chatbots facilitate seamless customer experiences, while marketing automation platforms optimize search engine optimization, pay-per-click advertising, and social media advertising. Natural language processing and AI marketing consultants aid content marketing strategies, ensuring algorithmic bias and ethical AI considerations remain at the forefront. Marketing dynamics remain in a constant state of evolution, with AI-driven innovations continuing to transform the industry. Data Governance, marketing attribution models, and programmatic advertising are among the many areas where AI is making an impact. The ongoing integration of AI into marketing technologies and strategies ensures a continuously adaptive and effective marketing landscape.

How is this Artificial Intelligence Ining Industry segmented?

The artificial intelligence ining industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Deployment

  On-premises
  Cloud


Application

  Social Media Advertising
  Search Engine Marketing/ Search Advertising
  Virtual Assistant
  Content Curation
  Sales & Marketing Automation
  Analytics Platform
  Others


Technology

  Machine Learning
  Natural Language Processing
  Computer Vision
  Others


Geography

  North America

    US
    Canada


  Europe

    Germany
    UK


  APAC

    China
    Japan
    Australia
    India


  South America

    Brazil
    Argentina


  Middle East and Africa

    UAE


  Rest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.

Artificial Intelligence (AI) is revolutionizing marketing, with machine learning models at its core. Brands are building stronger connections with consumers through AI-driven personalization and predictive analytics. A/B testing and marketing analytics software enable data-driven insights, while conversion rate optimization and marketing automation workflows streamline campaigns. Data privacy regulations ensure transparency and accountability, shaping marketing strategies. Behavioral targeting and sentiment analysis provide deeper customer understanding, enhancing customer engagement. Predictive analytics and marketing ROI are key performance indicators, driving marketing budget allo

AI in Upselling & Cross-selling Market Outlook

According to our latest research, the global AI in Upselling & Cross-selling market size reached USD 2.18 billion in 2024, reflecting robust adoption across industries. The market is projected to grow at a CAGR of 24.6% from 2025 to 2033, with the forecasted market size anticipated to hit USD 18.10 billion by 2033. This remarkable growth is propelled by the increasing demand for hyper-personalized customer experiences and the need for businesses to maximize customer lifetime value in a highly competitive digital economy.

A primary growth factor driving the AI in Upselling & Cross-selling market is the rapid digital transformation across various sectors. Organizations are increasingly leveraging artificial intelligence to analyze vast amounts of customer data in real time, enabling them to identify precise upselling and cross-selling opportunities. This data-driven approach empowers businesses to offer personalized recommendations, resulting in higher conversion rates and enhanced customer satisfaction. Furthermore, the integration of AI with CRM systems and marketing automation platforms has streamlined the process, making it easier for companies to implement sophisticated upselling and cross-selling strategies at scale. These advancements are particularly critical in highly competitive markets such as e-commerce, BFSI, and telecommunications, where customer retention and value maximization are key strategic priorities.

Another significant driver is the evolving expectations of consumers, who now demand seamless and personalized shopping experiences across all touchpoints. AI-powered recommendation engines have become indispensable tools for businesses seeking to meet these expectations, as they can dynamically adapt to individual customer preferences and behaviors. By utilizing machine learning algorithms, companies can predict which products or services a customer is most likely to purchase next, thereby increasing the average order value and overall profitability. The continuous improvement in natural language processing (NLP) and sentiment analysis further enhances the ability of AI systems to understand and anticipate customer needs, fostering deeper engagement and brand loyalty.

The expansion of AI in Upselling & Cross-selling is also fueled by the growing availability of cloud-based solutions and the proliferation of API-driven integrations. These technological advancements have lowered the barriers to entry for small and medium-sized enterprises (SMEs), enabling them to access cutting-edge AI capabilities without significant upfront investments in infrastructure. Cloud deployment models offer scalability, flexibility, and ease of integration with existing business systems, accelerating the adoption of AI-driven upselling and cross-selling tools across diverse industries. Additionally, the rise of industry-specific AI applications tailored to sectors such as healthcare, hospitality, and automotive is opening new avenues for growth, as organizations seek to differentiate themselves through superior customer engagement strategies.

From a regional perspective, North America currently dominates the AI in Upselling & Cross-selling market, accounting for over 38% of the global revenue in 2024. This leadership is attributed to the high concentration of technology innovators, mature digital infrastructure, and early adoption of AI solutions by enterprises in the United States and Canada. However, Asia Pacific is emerging as the fastest-growing region, driven by rapid digitalization, expanding e-commerce ecosystems, and increasing investments in AI technologies by businesses in China, India, and Southeast Asia. Europe also represents a significant market, with strong demand from the BFSI and retail sectors, while Latin America and the Middle East & Africa are gradually catching up as digital transformation initiatives gain momentum in these regions.

Component Analysis

The AI in Upselling & Cross-selling market is segmented by component into software and services, each playing a pivotal role in shaping the market landscape. The software segment encompasses AI-driven analytics platforms, recommendation engines, and machine learning frameworks that automate the process of identifying upselling and cross-selling opportunities. These solutions are designed to integrate seamlessly with existing CRM and ERP systems, enabling organizations to

Success.ai provides an extensive US Company Data service with access to over 28 million full company profiles and associated contact data. This service is tailored to enhance your business intelligence with precise and up-to-date information, ensuring you have the insights you need to make informed decisions.

API Integration: Our Enrichment APIs facilitate seamless integration and real-time updates, making it easier than ever to maintain accurate and current data within your systems. These APIs allow for efficient data management and can be customized to fit your specific needs, enhancing both the utility and accessibility of the data.

Benefits of Success.ai’s US Company Data:

• Comprehensive Data Coverage: Explore in-depth profiles that include financial details, company registries, and critical contact information.
• Regulatory Compliance: Our data solutions are GDPR-compliant, ensuring that you can use our services with confidence, adhering to the highest standards of data privacy and security.
• Tailored Data Preparation: We understand that every business has unique needs. Our data is prepared to meet your specific requirements, offering flexibility and precision.
• Best Price & Quality Guarantee: We are committed to providing the highest quality data at the most competitive prices, ensuring you receive unmatched value for your investment.

Key Use Cases:

• Market Research: Gain a competitive edge with comprehensive insights into the US business landscape.
• Sales and Marketing: Leverage detailed company and contact data to tailor your outreach and improve engagement with key decision-makers.
• Risk Management: Assess company stability and industry positioning with our detailed financial data.
• Strategic Planning: Utilize our extensive company data for scenario planning and strategic business decisions.

Why Choose Success.ai? Choose Success.ai for its robust US Company Data capabilities. Our commitment to providing detailed, accurate, and up-to-date information, paired with our innovative API technology, makes us a leader in the data services industry. Let us help you harness the power of data to propel your business forward.

And no one beats us on price!

Success.ai empowers businesses with dynamic, enterprise-grade B2B company datasets, enabling deep insights into over 28 million verified company profiles, including specialized segments like e-commerce and private companies. Ideal for those targeting diverse company types, our data supports strategic initiatives from sales to competitor analysis.

• Robust Data for Various Needs: Our data spans e-commerce company data, private company data, and comprehensive company registry and funding details, tailored to support your business across global markets.
• Enhanced Data Accuracy: Leveraging AI-validation, we ensure a 99% accuracy rate across all data points, providing reliable and actionable insights.
• Global Reach, Local Relevance: Covering everything from local startups to major global players in 195 countries, our data is meticulously curated to support both broad scope strategies and niche market penetrations.
• Strategic Empowerment: Use our datasets for detailed company data enrichment, sales data enhancement, and competitive intelligence, facilitating informed decision-making and strategic planning.

Key Use Cases Enhanced by Success.ai:

• Company Data Enrichment: Improve your database quality by integrating comprehensive company details, enhancing accuracy and utility.
• Sales Data Enrichment: Equip your sales teams with enriched data that enhances targeting precision and conversion rates.
• B2B Data Enrichment: Tailor your B2B strategy with enhanced data, optimizing your outreach and business relationships.
• Competitor Analysis & Competitive Intelligence: Gain an edge with detailed insights into funding patterns, growth metrics, and strategic directions of competitors.

Why Choose Success.ai?

• Best Price Guarantee: We are committed to providing the most cost-effective solutions, ensuring you get unparalleled value.
• Customization at Scale: Whether you need data for a few hundred or millions of companies, our solutions are customizable to meet your specific requirements.
• Real-Time Updates: Stay ahead of market changes with data that is continuously updated, keeping you informed with the latest information.
• Ethical Compliance Guaranteed: Our data practices are fully compliant with GDPR and other international standards, ensuring responsible use of information.

Get Started with Success.ai Today: Partner with us to harness the power of detailed and expansive company data. Whether for enriching your sales processes, conducting in-depth competitor analysis, or enhancing your overall data strategy, Success.ai provides the tools and insights necessary to propel your business to new heights.

Contact us to explore how our tailored data solutions can transform your business operations and strategic initiatives.

Remember, with Success.ai, no one beats us on price. Period.

Dataset Description:

The dataset appears to contain information related to car sales, with various attributes providing details about different car models. Below is a description of the attributes in the dataset:

Attribute Descriptions:

1. Manufacturer: The name of the car manufacturer (e.g., Acura, Audi, BMW).
2. Model: The specific model of the car (e.g., Integra, TL, A4).
3. Sales_in_thousands: The number of car sales in thousands.
4. _year_resale_value: The estimated resale value of the vehicle after a certain number of years.
5. Vehicle_type: The type of vehicle (e.g., Passenger, Car).
6. Price_in_thousands: The price of the car in thousands of dollars.
7. Engine_size: The size of the car's engine.
8. Horsepower: The horsepower of the car's engine.
9. Wheelbase: The wheelbase of the car (distance between the front and rear axles).
10. Width: The width of the car.
11. Length: The length of the car.
12. Curb_weight: The weight of the car without occupants or baggage.
13. Fuel_capacity: The capacity of the fuel tank.
14. Fuel_efficiency: The fuel efficiency of the car.
15. Latest_Launch: The date of the latest product launch.
16. Power_perf_factor: A performance factor associated with power.

Snapshot img

Sales Intelligence Market Size 2025-2029

The sales intelligence market size is forecast to increase by USD 4.86 billion at a CAGR of 17.6% between 2024 and 2029.

The market is experiencing significant growth, driven primarily by the increasing demand for custom-made solutions that cater to the unique needs of businesses. This trend is fueled by the rapid advancements in cloud technology, enabling real-time access to comprehensive and accurate sales data from anywhere. However, the high initial cost of implementing sales intelligence solutions can act as a barrier to entry for smaller organizations. Furthermore, regulatory hurdles impact adoption in certain industries, requiring strict compliance with data privacy regulations. With the advent of cloud computing and SaaS customer relationship management (CRM) systems, businesses are able to store and access customer information more efficiently. Moreover, the exponential growth of marketing intelligence, driven by big data and natural language processing (NLP) technologies, enables organizations to gain valuable insights from customer interactions.
Despite these challenges, the market's potential is vast, with opportunities for growth in sectors such as healthcare, finance, and retail. Companies seeking to capitalize on these opportunities must navigate these challenges effectively, investing in cost-effective solutions and ensuring regulatory compliance. By doing so, they can gain a competitive edge through improved lead generation, enhanced customer insights, and streamlined sales processes.

What will be the Size of the Sales Intelligence Market during the forecast period?

Request Free Sample

In today's business landscape, sales intelligence has become a critical driver of revenue growth. The go-to-market strategy of companies relies heavily on predictive lead scoring and sales pipeline analysis to prioritize opportunities and optimize resource allocation. Sales operations teams leverage revenue intelligence to gain insights into sales performance and identify trends. Data quality is paramount in sales analytics dashboards, ensuring accurate sales negotiation and closing. Sales teams collaborate using sales enablement platforms, which integrate CRM systems and provide sales performance reporting. Sales process mapping and sales engagement tools enable effective communication and productivity. Conversational AI and sales automation software streamline sales outreach and prospecting efforts. Messaging and alerting features help sales teams engage with potential customers effectively, while chatbots facilitate efficient communication.
Sales forecasting models and intent data inform sales management decisions, while salesforce automation and data governance ensure data security and compliance. Sales effectiveness is enhanced through sales negotiation training and sales enablement training. The sales market is dynamic, with trends shifting towards advanced analytics and AI-driven solutions. Companies must adapt to stay competitive, focusing on data-driven strategies and continuous improvement.

How is this Sales Intelligence Industry segmented?

The sales intelligence industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  Cloud-based
  On-premises


Component

  Software
  Services


Application

  Data management
  Lead management


End-user

  IT and Telecom
  Healthcare and life sciences
  BFSI
  Others


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

By Deployment Insights

The cloud-based segment is estimated to witness significant growth during the forecast period. In today's business landscape, sales intelligence platforms have become indispensable tools for organizations seeking to optimize their sales processes and gain a competitive edge. These solutions offer various features, including deal tracking, win-loss analysis, data mining, sales efficiency, customer journey mapping, sales process optimization, pipeline management, sales cycle analysis, revenue optimization, market research, data integration, customer segmentation, sales engagement, sales coaching, sales playbook, sales process automation, business intelligence (BI), predictive analytics, target account identification, lead generation, account-based marketing (ABM), sales strategy, sales velocity, real-time data, artificial intelligence (AI), sales insights, sales enablement content, sales enablement, sales funnel optimization, sales performance metrics, competitive intelligence, sales methodology, customer churn, and machine learning (ML) for sales forecasting and buyer person

Generative AI is already employed at Amazon. In 2024, a bit more than one-third of Amazon’s sellers and brands created and optimized product listings with AI tools. Another 14 percent of them shifted from manual to AI-based production of marketing and social media content.

A work-in-progress situation

AI use at Amazon aligns with the general trend observed in the United States. In 2023, only one-third of B2C e-commerce companies fully implemented AI in their operations, while nearly half of them are still in the experimental phase. In comparison, B2B organizations were lagging, as the full implementation rate stood at 25 percent.

What holds companies back?

Implementing AI-based solutions is easier said than done, as companies face numerous challenges ranging from data security to significant business costs – the main factors retail CEOs mentioned in a survey from 2023. In the same survey, over four in ten managers and employees believed AI innovations were hindered by a lack of understanding and expertise in AI use.

Success.ai’s Company Funding Data Solutions offer businesses access to over 28 million verified company profiles, delivering detailed insights into private company data across multiple industries. Our solution includes firmographic data and business location data for companies of all sizes, from large enterprises to small businesses. Whether you're seeking small business contact data or company funding data, Success.ai’s company data solutions empower businesses with the accuracy and depth they need to drive B2B sales, marketing, and research initiatives.

At Success.ai, we offer tailored B2B datasets to meet specific business requirements. With our white-glove service, you’ll receive curated datasets customized to fit your needs, without the hassle of managing data platforms yourself. Our solution is GDPR-compliant, AI-validated with a 99% accuracy rate, and offers the best price guarantee on the market.

Why choose Success.ai?

• Best Price Guarantee: Our pricing beats any competitor, ensuring you get the best deal.
• Global Reach: 28M verified company profiles spanning 195 countries, providing coverage across industries.
• AI-Validated Accuracy: 99% accuracy rate, ensuring high-quality, actionable data.
• Real-Time Updates: Data is continuously updated to ensure you’re working with the freshest insights.
• Ethically Sourced & Compliant: All data is GDPR-compliant and ethically sourced from trusted partners.
• Comprehensive Data: Over 15 key data points per company, including firmographic data, funding history, company size, and technologies used.
• Tailored Service: Custom datasets are delivered directly to you, eliminating the need for platform navigation.

Our database includes comprehensive insights into company structures, employee counts, key technologies, and company funding data. Whether you’re targeting companies by business location or looking for detailed firmographic data, Success.ai’s datasets ensure you have all the data you need to drive your strategy.

Comprehensive data points:

Company Name LinkedIn URL Company Domain Company Description Business Location: Full details down to the city, state, and country Company Industry Employee Count Technologies Used Funding Information: Total funding and the latest funding dates

Maximize your sales potential by targeting decision-makers and building targeted account lists using Success.ai’s B2B contact data and company profiles. Our datasets are ideal for account-based marketing (ABM), investment research, market analysis, and CRM enrichment. Success.ai’s company data provides sales and marketing teams with the actionable insights they need to scale their efforts efficiently.

Key Use Cases:

• Targeted Lead Generation: Build precise lead lists by filtering company data by industry, size, or location.
• Account-Based Marketing (ABM): Use detailed firmographic data to focus marketing efforts on high-value accounts.
• Investment Research: Analyze company growth trends and funding history to identify high-potential investments.
• Market Research: Gain insights into industry trends, competitor activity, and market positioning for strategic planning.
• CRM Enrichment: Keep your CRM updated with verified company data, ensuring streamlined workflows.

With Success.ai, you’ll benefit from our best price guarantee, industry-leading accuracy, and white-glove service. We specialize in private company data, small business contact data, and business location data, providing comprehensive solutions for B2B marketing, sales, and research teams. Whether you need firmographic data or insights on company funding, our real-time datasets will help you stay ahead of the competition.

Get started with Success.ai today and take advantage of our price match guarantee, ensuring you receive the best possible deal on high-quality company data. Contact us to receive your custom dataset and transform your business with real-time insights.

The global Sales Data Fusion market is experiencing robust growth, driven by the increasing need for businesses to leverage disparate data sources for improved sales performance and strategic decision-making. The market's expansion is fueled by the rising adoption of cloud-based solutions, advancements in artificial intelligence (AI) and machine learning (ML) for data integration and analysis, and the growing demand for real-time sales insights. Key players like Thomson Reuters, AGT International, and LexisNexis are leading the charge, offering comprehensive platforms that consolidate data from CRM systems, marketing automation tools, and other relevant sources. This consolidation provides a holistic view of customer interactions, sales performance, and market trends, enabling businesses to optimize sales strategies, improve forecasting accuracy, and ultimately enhance revenue generation. The market is segmented by deployment (cloud, on-premise), by industry (BFSI, retail, healthcare, manufacturing), and by component (software, services). While data security and privacy concerns represent a potential restraint, the overall market outlook remains positive, indicating continued growth driven by technological advancements and the ever-increasing value placed on data-driven decision-making within organizations. The forecast period of 2025-2033 is expected to witness significant expansion, building upon a strong historical period (2019-2024). Assuming a conservative CAGR of 15% (a reasonable estimate given the growth drivers mentioned), we can expect substantial market expansion. This growth will be particularly evident in regions with high technological adoption rates and robust digital infrastructures. The competitive landscape is characterized by both established players and emerging technology companies, creating a dynamic and innovative ecosystem. Future growth will likely be shaped by advancements in big data analytics, improved data integration capabilities, and the increasing availability of sophisticated sales intelligence tools. The market will continue to attract investments as businesses recognize the critical role of effective sales data fusion in achieving a competitive advantage.

AI Sales Assistant Market Outlook

The global market size for AI Sales Assistants is projected to escalate from $2.5 billion in 2023 to $15.7 billion by 2032, marking a robust CAGR of 22.5% throughout the forecast period. This substantial growth is driven by the increasing adoption of AI technologies across various commercial sectors aiming to enhance customer engagement and streamline sales processes.

A primary growth factor for the AI Sales Assistant market is the rapid advancements in AI and machine learning technologies. As these technologies become more sophisticated, they offer more accurate and efficient solutions for managing customer interactions, analyzing sales data, and providing real-time recommendations. Businesses are increasingly turning to AI Sales Assistants to leverage these capabilities, reducing the burden on human employees and improving overall productivity.

Another significant driver is the growing emphasis on customer experience and personalization. In today's competitive landscape, businesses are seeking ways to differentiate themselves by offering personalized experiences to their customers. AI Sales Assistants can analyze vast amounts of customer data to provide tailored recommendations, enhancing customer satisfaction and loyalty. This trend is particularly strong in sectors like retail, e-commerce, and BFSI, where customer experience is a critical differentiator.

Furthermore, the increasing integration of AI Sales Assistants with other technologies, such as CRM systems and marketing automation tools, is propelling market growth. These integrations enable businesses to have a holistic view of their customer interactions and streamline their sales processes. As a result, AI Sales Assistants are becoming an indispensable tool for sales and marketing teams, driving their adoption across various industries.

In the ever-evolving landscape of sales and marketing, Data Intelligence Solutions for Sales are becoming increasingly vital. These solutions empower businesses to harness vast amounts of data, transforming it into actionable insights that drive sales strategies and decision-making processes. By leveraging data intelligence, companies can better understand customer behavior, predict market trends, and optimize their sales funnels. This not only enhances the efficiency of sales teams but also enables more personalized customer interactions, leading to improved customer satisfaction and loyalty. As the demand for data-driven decision-making continues to grow, the integration of Data Intelligence Solutions for Sales is set to become a cornerstone of modern sales strategies.

From a regional perspective, the AI Sales Assistant market is witnessing significant growth across all major regions. North America, with its early adoption of advanced technologies and the presence of key market players, holds a substantial share of the market. Europe and the Asia Pacific are also experiencing rapid growth due to increasing investments in AI technologies and a growing focus on digital transformation. Latin America and the Middle East & Africa are gradually catching up, driven by rising awareness and adoption of AI solutions in these regions.

Component Analysis

The AI Sales Assistant market can be segmented by component into Software, Hardware, and Services. Software plays a pivotal role in this market, comprising advanced algorithms and machine learning models that enable the functioning of AI Sales Assistants. The software segment is expected to witness the highest growth due to continuous advancements in AI and machine learning technologies. Companies are investing heavily in R&D to enhance the capabilities of their AI software, making them more efficient and user-friendly. Moreover, the growing trend of custom AI solutions tailored to specific business needs is further propelling the software segment's growth.

Hardware, although a smaller segment compared to software, is crucial for the deployment of AI Sales Assistants. Advanced hardware components such as GPUs, CPUs, and specialized AI chips are essential for processing complex AI algorithms in real-time. The demand for high-performance hardware is increasing as businesses seek to deploy more powerful and efficient AI systems. While the hardware segment may not grow as rapidly as software, it remains a critical enabler of AI technologies.

Services, encompas

AI Servers Sales Market Outlook 2032

The global AI servers sales market size was USD XX Billion in 2023 and is likely to reach USD XX Billion by 2032, expanding at a CAGR of XX% during 2024–2032. The market growth is attributed to the rising inclination toward edge computing and the integration of AI with IoT.



Increasing inclination toward edge computing, where AI servers are deployed closer to the data source to reduce latency and enhance real-time data processing capabilities. This trend is particularly prevalent in industries requiring immediate insights from large data streams, such as manufacturing and telecommunications. However, the integration of AI with Internet of Things(IoT) devices has spurred the need for sophisticated AI servers that handle vast networks of connected devices.

Industries such as agriculture, construction, and legal services are beginning to explore how AI optimizes operations, enhances decision-making, and automates routine tasks. In agriculture, AI servers analyze data from sensors and drones to optimize crop management and predict yields. In construction, AI is used for project management, safety monitoring, and structural analysis. The legal sector employs AI for document analysis and case prediction. Each of these sectors represents a new frontier for AI server applications, providing fresh market opportunities for providers of AI server technologies as they adapt their offerings to meet the specific needs of these diverse industries.

AI Servers Sales Market Dynamics

Major Drivers

Increasing demand for artificial intelligence (AI) capabilities across various sectors is a primary driver of the AI server sales market. As businesses and organizations increasingly recognize the potential of AI to en

Snapshot img

Artificial Intelligence (AI) Market In Retail Sector Size 2024-2028

The artificial intelligence (ai) market in retail sector size is forecast to increase by USD 42.22 billion, at a CAGR of 42% between 2023 and 2028.

The Artificial Intelligence (AI) market in retail is experiencing significant growth, fueled by escalating investments and research and development in AI startups. This trend is driven by the increasing adoption of AI technologies in various retail applications, particularly in e-commerce, where AI is being used for personalized product recommendations, fraud detection, and customer service. However, the deployment of AI in retail comes with challenges. One of the most pressing issues is privacy concerns. Retailers must address these challenges by implementing robust data security measures and transparent communication with customers regarding the collection and use of their data.
Effective management of these challenges will enable retailers to capitalize on the vast opportunities presented by AI, enhancing customer experiences, improving operational efficiency, and driving innovation in the retail sector.

What will be the Size of the Artificial Intelligence (AI) Market In Retail Sector during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
Request Free Sample

The retail sector continues to witness the integration of artificial intelligence (AI) technologies, revolutionizing various aspects of business operations. From promotion optimization to customer service automation, AI applications span across numerous retail functions. Image recognition and machine learning algorithms enhance operational efficiency by automating tasks such as inventory management and data mining. Sales forecasting and demand prediction are further advanced through AI-powered recommendations and real-time analytics. Facial recognition and customer segmentation enable personalized shopping experiences, while virtual assistants and recommendation systems streamline the customer journey. AI's role extends to supply chain management, cost reduction, and targeted advertising through retail analytics and predictive analytics.

Moreover, AI's integration into omni-channel retail enhances conversion rates, customer satisfaction, and loyalty programs. Automated checkout and process automation contribute to efficiency gains, while deep learning and marketing automation optimize pricing and UX. Data security and decision support systems ensure data-driven insights for business intelligence and sentiment analysis. Fraud detection and predictive modeling further strengthen retail operations, with smart shelves and business intelligence systems providing valuable insights for retailers. AI's continuous evolution in the retail sector is transforming the industry, offering endless opportunities for innovation and growth.

How is this Artificial Intelligence (AI) In Retail Sector Industry segmented?

The artificial intelligence (ai) in retail sector industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Sales and marketing
  In-store
  PPP
  Logistics management


Geography

  North America

    US
    Canada


  Europe

    UK


  APAC

    China
    Japan


  Rest of World (ROW)

By Application Insights

The sales and marketing segment is estimated to witness significant growth during the forecast period.

In the retail sector, artificial intelligence (AI) is revolutionizing sales and marketing functions. Customer Relationship Management (CRM) strategies are enhanced through AI, allowing businesses to understand customer interaction histories and tailor sales efforts accordingly. Operational efficiency is a priority, with AI-based chatbots and virtual assistants driving customer engagement and freeing up human resources. Machine learning algorithms, image recognition, and predictive analytics are key technologies, powering personalized shopping experiences, targeted advertising, and real-time inventory management. Cloud computing enables seamless data access for AI applications, from demand forecasting to sentiment analysis and fraud detection. AI-powered recommendation systems and supply chain management optimize sales conversion and reduce costs.

Businesses are embracing omni-channel retail, integrating AI into various touchpoints, from mobile commerce to in-store analytics. Deep learning and computer vision technologies further enhance the customer experience, with applications in price optimization, shelf optimization, and predictive modeling. Data security and decision support systems are essential considerations, ensuring customer satisfactio

Snapshot img

Data Monetization Market Size 2024-2028

The data monetization market size is forecast to increase by USD 8.03 billion at a CAGR of 27.17% between 2023 and 2028.

The market is experiencing significant growth due to the high adoption of data monetization by various end-users, particularly in sectors such as healthcare, finance, and retail. The digital transformation of businesses has led to an increase in the generation and collection of vast amounts of data, creating monetization opportunities. Additionally, data privacy and regulatory compliance are becoming increasingly important, driving the need for effective strategies. Companies are leveraging advanced technologies like artificial intelligence and machine learning to extract valuable insights from their data and monetize it through various channels such as data selling, licensing, and subscription services. The market is expected to continue its growth trajectory In the coming years, offering significant opportunities for businesses to unlock value from their data assets.

What will be the Size of the Market During the Forecast Period?

Request Free Sample

The market represents a significant growth opportunity for enterprises seeking to leverage their data as an asset. Businesses are increasingly recognizing the value of their data beyond traditional uses in operations and are exploring strategies. Data monetization tools, fueled by advancements in AI, IoT, machine learning, and deep learning, enable enterprises to extract insights from their data and create new revenue streams. The market ecosystem includes IT professionals, telecom and IT companies, energy and utilities, e-commerce, finance, and various industries. These strategies encompass both direct and indirect approaches, with direct monetization involving the sale of raw data and indirect monetization leveraging data to improve customer experience, sales and marketing, and business intelligence.
Data structures and quality play a crucial role in successful data monetization. Businesses must ensure data accuracy, security, and interoperability to effectively monetize their data. The cloud and on-premise solutions offer flexibility in implementation, while big data analytics and AI enable more sophisticated data analysis and monetization. These trends include the integration of AI and machine learning for data analysis, the growing importance of data quality, and the increasing role of customer service in data monetization. Overall, the market is experiencing strong growth, driven by the increasing volume, variety, and velocity of data, and the growing recognition of data as a valuable business asset.

How is this Industry segmented and which is the largest segment?

The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Solution
  Service


Platform

  BFSI
  E-commerce and retail
  Media and entertainment
  Manufacturing
  Others


Geography

  North America

    Canada
    US


  APAC

    China
    Japan


  Europe

    Germany


  South America



  Middle East and Africa

By Type Insights

The solution segment is estimated to witness significant growth during the forecast period. Businesses are capitalizing on their data assets by implementing data monetization solutions, transforming raw data into valuable insights, products, and services for financial growth. The digital age has resulted in an unprecedented increase in data generation from various sources such as customer interactions, IoT devices, and social media. With advancements in technologies like big data analytics, artificial intelligence, machine learning, and cloud computing, it has become more accessible and effective. For instance, retail enterprises like Walmart and Amazon leverage customer data to deliver personalized marketing campaigns, targeted recommendations, optimize pricing strategies, and enhance inventory management. These processes encompass both internal and external methods.

Get a glance at the market report of share of various segments Request Free Sample

The solution segment was valued at USD 999.20 million in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 33% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market size of various regions, Request Free Sample

Data monetization is a growing trend in North America, particularly in industries such as finance, retail, and e-commerce. The region's advanced data infrastructure, including sophisticated data collection and

Market Overview The global AI Sales Tool market is projected to reach [Market Size] million by 2033, exhibiting a CAGR of [CAGR]% during the forecast period from 2025 to 2033. The increasing adoption of AI technologies in sales processes, such as lead generation, qualification, and nurturing, is a significant driver of this growth. Additionally, the rising need for automation and efficiency in sales organizations is further fueling the demand for AI Sales Tools. Key Trends and Segments Prominent trends shaping the AI Sales Tool market include the integration of conversational AI, predictive analytics, and natural language processing (NLP). These advancements enhance the accuracy and personalization of sales interactions. The market is segmented based on application (lead generation, customer relationship management, sales forecasting, and others) and type (predictive analytics, chatbots, lead scoring, and others). Key players in the market include Seamless.AI, Hoppy Copy, Apollo, and Drift. North America dominates the regional landscape, followed by Europe and Asia Pacific. The AI Sales Tool market is experiencing rapid growth, with vendors innovating novel solutions to enhance sales productivity and efficiency. The market is highly fragmented, with a diverse range of players catering to specific industry and use case requirements. Key market insights include:

AI Sales Assistant Market size was valued at USD 1.62 Billion in 2023 and is projected to reach USD 8.40 Billion by 2031, growing at a CAGR of 23.17% during the forecast period 2024-2031.

Global AI Sales Assistant Market Drivers

Growing Use of AI in Corporate Processes: The market for AI sales assistants is significantly influenced by the expanding trend of companies incorporating AI into their operations. Businesses want to improve productivity, cut expenses, and simplify processes. By automating tedious duties, AI sales assistants free up sales staff to concentrate on establishing rapport and completing deals. Organizations are drawn to AI solutions because they make it simple to access consumer data, enhance lead qualification, and personalize customer interactions. Additionally, sales teams are empowered with actionable information due to the desire for data-driven insights and analytics, which results in better decision-making and improved sales effectiveness.

Success.ai’s LinkedIn Data Solutions offer unparalleled access to a vast dataset of 700 million public LinkedIn profiles and 70 million LinkedIn company records, making it one of the most comprehensive and reliable LinkedIn datasets available on the market today. Our employee data and LinkedIn data are ideal for businesses looking to streamline recruitment efforts, build highly targeted lead lists, or develop personalized B2B marketing campaigns.

Whether you’re looking for recruiting data, conducting investment research, or seeking to enrich your CRM systems with accurate and up-to-date LinkedIn profile data, Success.ai provides everything you need with pinpoint precision. By tapping into LinkedIn company data, you’ll have access to over 40 critical data points per profile, including education, professional history, and skills.

Key Benefits of Success.ai’s LinkedIn Data: Our LinkedIn data solution offers more than just a dataset. With GDPR-compliant data, AI-enhanced accuracy, and a price match guarantee, Success.ai ensures you receive the highest-quality data at the best price in the market. Our datasets are delivered in Parquet format for easy integration into your systems, and with millions of profiles updated daily, you can trust that you’re always working with fresh, relevant data.

API Integration: Our datasets are easily accessible via API, allowing for seamless integration into your existing systems. This ensures that you can automate data retrieval and update processes, maintaining the flow of fresh, accurate information directly into your applications.

Global Reach and Industry Coverage: Our LinkedIn data covers professionals across all industries and sectors, providing you with detailed insights into businesses around the world. Our geographic coverage spans 259M profiles in the United States, 22M in the United Kingdom, 27M in India, and thousands of profiles in regions such as Europe, Latin America, and Asia Pacific. With LinkedIn company data, you can access profiles of top companies from the United States (6M+), United Kingdom (2M+), and beyond, helping you scale your outreach globally.

Why Choose Success.ai’s LinkedIn Data: Success.ai stands out for its tailored approach and white-glove service, making it easy for businesses to receive exactly the data they need without managing complex data platforms. Our dedicated Success Managers will curate and deliver your dataset based on your specific requirements, so you can focus on what matters most—reaching the right audience. Whether you’re sourcing employee data, LinkedIn profile data, or recruiting data, our service ensures a seamless experience with 99% data accuracy.

• Best Price Guarantee: We offer unbeatable pricing on LinkedIn data, and we’ll match any competitor.
• Global Scale: Access 700 million LinkedIn profiles and 70 million company records globally.
• AI-Verified Accuracy: Enjoy 99% data accuracy through our advanced AI and manual validation processes.
• Real-Time Data: Profiles are updated daily, ensuring you always have the most relevant insights.
• Tailored Solutions: Get custom-curated LinkedIn data delivered directly, without managing platforms.
• Ethically Sourced Data: Compliant with global privacy laws, ensuring responsible data usage.
• Comprehensive Profiles: Over 40 data points per profile, including job titles, skills, and company details.
• Wide Industry Coverage: Covering sectors from tech to finance across regions like the US, UK, Europe, and Asia.

Key Use Cases:

• Sales Prospecting and Lead Generation: Build targeted lead lists using LinkedIn company data and professional profiles, helping sales teams engage decision-makers at high-value accounts.
• Recruitment and Talent Sourcing: Use LinkedIn profile data to identify and reach top candidates globally. Our employee data includes work history, skills, and education, providing all the details you need for successful recruitment.
• Account-Based Marketing (ABM): Use our LinkedIn company data to tailor marketing campaigns to key accounts, making your outreach efforts more personalized and effective.
• Investment Research & Due Diligence: Identify companies with strong growth potential using LinkedIn company data. Access key data points such as funding history, employee count, and company trends to fuel investment decisions.
• Competitor Analysis: Stay ahead of your competition by tracking hiring trends, employee movement, and company growth through LinkedIn data. Use these insights to adjust your market strategy and improve your competitive positioning.
• CRM Data Enrichment: Enhance your CRM systems with real-time updates from Success.ai’s LinkedIn data, ensuring that your sales and marketing teams are always working with accurate and up-to-date information.
• Comprehensive Data Points for LinkedIn Profiles: Our LinkedIn profile data includes over 40 key data points for every individual and company, ensuring a complete understandin...