Korea CI Value Added: Contents Solution data was reported at 1,602,423.000 KRW mn in 2015. This records an increase from the previous number of 1,476,530.000 KRW mn for 2014. Korea CI Value Added: Contents Solution data is updated yearly, averaging 956,345.000 KRW mn from Dec 2005 (Median) to 2015, with 11 observations. The data reached an all-time high of 1,602,423.000 KRW mn in 2015 and a record low of 476,538.000 KRW mn in 2005. Korea CI Value Added: Contents Solution data remains active status in CEIC and is reported by Korea Creative Content Agency. The data is categorized under Global Database’s Korea – Table KR.H089: Contents Industry Value Added.

Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

Key Features of Success.ai's Company Financial Data:

Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

Why Choose Success.ai for Company Financial Data?

Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

Comprehensive Use Cases for Financial Data:

1. Strategic Financial Planning:

Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

1. Mergers and Acquisitions (M&A):

Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

1. Investment Analysis:

Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

1. Lead Generation and Sales:

Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

1. Market Research:

Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

APIs to Power Your Financial Strategies:

Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

Tailored Solutions for Industry Professionals:

Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

What Sets Success.ai Apart?

Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

Ethical Practices: Our data collection and processing methods are fully comp...

Neonomics is a company that specializes in open banking solutions, providing a new generation of payments and financial data solutions that prioritize people. With a focus on innovation and security, Neonomics aims to revolutionize the way businesses and individuals interact with their financial data. The company's products and services include Checkout, a payment solution that allows customers to pay online, and Platform Services, which offers extensive payment connectivity and account data integration.

By leveraging its expertise in open banking, Neonomics enables businesses to streamline their financial operations, improve customer experiences, and reduce costs. With a strong presence in the Nordics, Neonomics is well-positioned to support the region's rapidly evolving fintech landscape. As a licensed Payment Institution (PI), Payment Initiation Service Provider (PISP), and Account Information Service Provider (AISP), Neonomics ensures that its solutions are secure, compliant, and compliant with regulatory requirements.

Korea Imports: CI: Contents Solution data was reported at 544.000 USD th in 2015. This records an increase from the previous number of 536.000 USD th for 2014. Korea Imports: CI: Contents Solution data is updated yearly, averaging 453.000 USD th from Dec 2009 (Median) to 2015, with 7 observations. The data reached an all-time high of 544.000 USD th in 2015 and a record low of 371.000 USD th in 2010. Korea Imports: CI: Contents Solution data remains active status in CEIC and is reported by Korea Creative Content Agency. The data is categorized under Global Database’s South Korea – Table KR.JA042: Trade Statistics: Contents Industry.

The Financial Cloud Data Warehouse Solutions market is booming, projected to reach $45 billion by 2033 with a 15% CAGR. Learn about key drivers, market trends, top companies (Snowflake, AWS, Microsoft Azure), and regional insights in this comprehensive market analysis. Discover how cloud-based solutions are transforming financial data management.

Discover the booming synthetic data solution market! Learn about its $2 billion valuation, 25% CAGR, key drivers, trends, and regional insights. Explore opportunities in financial services, retail, and healthcare. Invest in the future of AI and data privacy.

Economic Green Industrial Services And Solutions Joint Stock Company Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

The global Synthetic Data Solution market is experiencing robust growth, projected to reach an estimated market size of approximately $1,500 million by 2025, with a Compound Annual Growth Rate (CAGR) of around 25% from 2019 to 2033. This significant expansion is primarily propelled by the increasing demand for privacy-preserving data generation, especially within sensitive sectors like financial services and healthcare, where regulations around data privacy are stringent. The retail industry is also a key driver, leveraging synthetic data for enhanced customer analytics, personalized marketing, and fraud detection without compromising consumer privacy. Furthermore, the burgeoning adoption of AI and machine learning across various industries necessitates vast amounts of high-quality training data, a need that synthetic data effectively addresses by overcoming limitations of real-world data scarcity and bias. The shift towards cloud-based solutions is also accelerating market penetration, offering scalability, flexibility, and cost-effectiveness for businesses of all sizes. Despite the promising growth trajectory, the market faces certain restraints. The complexity and cost associated with developing sophisticated synthetic data generation models, alongside concerns regarding the potential for bias inherited from the underlying real data, pose challenges. Ensuring the statistical fidelity and representativeness of synthetic data to real-world scenarios remains a critical area of focus for solution providers. However, ongoing advancements in generative adversarial networks (GANs) and other AI techniques are continuously improving the quality and realism of synthetic data. Geographically, North America currently leads the market due to its early adoption of AI technologies and strong regulatory frameworks promoting data privacy. Asia Pacific is emerging as a high-growth region, fueled by rapid digital transformation and increasing investments in AI research and development by countries like China and India. The market is characterized by intense competition among established tech giants and innovative startups, driving continuous innovation in synthetic data generation methodologies and applications. This in-depth report offers a panoramic view of the global Synthetic Data Solution market, providing a meticulous analysis of its current landscape, historical trajectory, and future potential. With a study period spanning from 2019 to 2033, and a base year of 2025, the report leverages comprehensive data from the historical period (2019-2024) to project a robust growth trajectory through the forecast period (2025-2033). The estimated market size for 2025 is projected to be in the hundreds of millions of US dollars, with significant expansion anticipated in the coming years.

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The booming synthetic data solution market is projected to reach $10B+ by 2033, driven by AI advancements and data privacy concerns. Explore market trends, key players (Baidu, LightWheel AI), regional analysis, and growth forecasts in this comprehensive report. Learn how synthetic data is transforming industries like finance, retail, and healthcare.

PS: Capital Spending: Plan: Mfg: Others data was reported at 3,360.000 JPY bn in 2018. This records a decrease from the previous number of 3,500.000 JPY bn for 2017. PS: Capital Spending: Plan: Mfg: Others data is updated yearly, averaging 4,115.000 JPY bn from Mar 2000 (Median) to 2018, with 19 observations. The data reached an all-time high of 5,997.000 JPY bn in 2007 and a record low of 1,883.000 JPY bn in 2012. PS: Capital Spending: Plan: Mfg: Others data remains active status in CEIC and is reported by Development Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.S078: Capital Spending: From Enterprises: Answer Actual and Planned Survey.

Japan PS: Capital Spending: Actual: Mfg: Food data was reported at 4,349.000 JPY bn in 2018. This records an increase from the previous number of 3,975.000 JPY bn for 2017. Japan PS: Capital Spending: Actual: Mfg: Food data is updated yearly, averaging 4,112.500 JPY bn from Mar 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 5,725.000 JPY bn in 2000 and a record low of 2,705.000 JPY bn in 2011. Japan PS: Capital Spending: Actual: Mfg: Food data remains active status in CEIC and is reported by Development Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.S078: Capital Spending: From Enterprises: Answer Actual and Planned Survey.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The global Marine Big Data market is poised for significant expansion, projected to reach a substantial valuation from its current base. With a Compound Annual Growth Rate (CAGR) of 4.1% over the forecast period of 2025-2033, this market is driven by the increasing digitization of marine operations and a growing imperative to manage vast datasets generated across various maritime sectors. Key applications such as Renewable Energy exploration (offshore wind farms), sustainable Fishery management, critical Whale Watching expeditions, and the vital oversight of Marine Protected Areas are all contributing to this growth. Furthermore, the necessity for efficient Marine Traffic management, extensive Dredging projects, robust Harbor infrastructure development, and complex Offshore Construction projects are creating an ever-increasing demand for sophisticated big data solutions. The market encompasses both Software solutions, enabling data collection, analysis, and visualization, and Services, including consulting, implementation, and ongoing support, catering to diverse user needs. The dynamic nature of the marine environment, coupled with stringent regulatory frameworks and a global push towards sustainable ocean practices, necessitates advanced data analytics. Companies are increasingly investing in technologies that can process, interpret, and leverage the enormous volumes of data generated from sensors, vessels, satellite imagery, and underwater systems. This data is crucial for optimizing operations, enhancing safety, ensuring environmental compliance, and unlocking new economic opportunities within the blue economy. While the market benefits from strong growth drivers, it may face challenges such as data standardization across disparate systems, cybersecurity concerns, and the upfront investment required for sophisticated big data infrastructure. However, the strategic importance of understanding and managing our oceans effectively ensures a bright future for the Marine Big Data market, with key players continuously innovating to provide comprehensive solutions. Here's a report description on Marine Big Data, incorporating your specific requirements:

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Vision USA includes consumer transaction data on 100M+ credit and debit cards, including 35M+ with activity in the past 12 months and 14M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 12K+ merchants, 800+ parent companies, 80+ same store sales metrics, and deep demographic and geographic breakouts. Review data by ticker in our Investor Relations module. Brick & mortar and ecommerce direct-to-consumer sales are recorded on transaction date and purchase data is available for most companies as early as 6 days post-swipe.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

Private equity and venture capital firms can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights teams and retailers can gain visibility into transaction data’s potential for competitive analysis, shopper behavior, and market intelligence.

CE Vision Benefits • Discover new competitors • Compare sales, average ticket & transactions across competition • Evaluate demographic and geographic drivers of growth • Assess customer loyalty • Explore granularity by geos • Benchmark market share vs. competition • Analyze business performance with advanced cross-cut queries

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Use Case: Private Equity, Growth and Venture

Problem A $35B Private Equity company focused on growth & venture, credit, and public equity investing in later-stage companies was looking for a data solution to enable them to source and vet the health of potential investments vs. their peers and their industry. With limited visibility, they were seeking a data solution that would seamlessly and easily provide concrete data and analytics for their assessments.

Solution The firm leveraged Consumer Edge's Vision Pro platform and alternative dataset to monitor and report weekly on: • Sourcing: With the support of Consumer Edge’s Insight team, the firm set up dashboard views to find and track the struggling firms that are open to capital needs. • Diligence: The firm vetted the health of a potential investment target vs. their peers and their industry by monitoring key metrics such as YoY growth, spend amount % growth, transactions, and of transactions % growth. Impact The diligence team was able to: • Identify three target acquisition companies based on historic performance • Set benchmarks vs. competition and monitor growth trends • Develop growth plans for post-acquisition strategy

This dataset, titled "Financial-QA-10k", contains 10,000 question-answer pairs derived from company financial reports, specifically the 10-K filings. The questions are designed to cover a wide range of topics relevant to financial analysis, company operations, and strategic insights, making it a valuable resource for researchers, data scientists, and finance professionals. Each entry includes the question, the corresponding answer, the context from which the answer is derived, the company's stock ticker, and the specific filing year. The dataset aims to facilitate the development and evaluation of natural language processing models in the financial domain.

About the Dataset Dataset Structure:

• Rows: 7000
• Columns: 5
• question: The financial or operational question asked.
• answer: The specific answer to the question.
• context: The textual context extracted from the 10-K filing, providing additional information.
• ticker: The stock ticker symbol of the company.
• filing: The year of the 10-K filing from which the question and answer are derived.

Sample Data:

Question: What area did NVIDIA initially focus on before expanding into other markets? Answer: NVIDIA initially focused on PC graphics. Context: Since our original focus on PC graphics, we have expanded into various markets. Ticker: NVDA Filing: 2023_10K

Potential Uses:

Natural Language Processing (NLP): Develop and test NLP models for question answering, context understanding, and information retrieval. Financial Analysis: Extract and analyze specific financial and operational insights from large volumes of textual data. Educational Purposes: Serve as a training and testing resource for students and researchers in finance and data science.

Japan PS: Capital Spending: Actual: Mfg: Iron and Steel data was reported at 5,133.000 JPY bn in 2018. This records a decrease from the previous number of 7,055.000 JPY bn for 2017. Japan PS: Capital Spending: Actual: Mfg: Iron and Steel data is updated yearly, averaging 5,394.500 JPY bn from Mar 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 9,025.000 JPY bn in 2010 and a record low of 3,242.000 JPY bn in 2012. Japan PS: Capital Spending: Actual: Mfg: Iron and Steel data remains active status in CEIC and is reported by Development Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.S078: Capital Spending: From Enterprises: Answer Actual and Planned Survey.

Japan PS: Capital Spending: Actual: All Industry data was reported at 162,332.000 JPY bn in 2018. This records an increase from the previous number of 160,372.000 JPY bn for 2017. Japan PS: Capital Spending: Actual: All Industry data is updated yearly, averaging 191,766.500 JPY bn from Mar 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 247,764.000 JPY bn in 1999 and a record low of 138,962.000 JPY bn in 2011. Japan PS: Capital Spending: Actual: All Industry data remains active status in CEIC and is reported by Development Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.S078: Capital Spending: From Enterprises: Answer Actual and Planned Survey. 2,059 firms answered both March 2018 actual and March 2019 planned data. 2,033 firms answered both March 2017 actual and March 2018 planned data. 2,077 firms answered both March 2016 actual and March 2017 planned data.

Brazil Government Evaluation: Don't Know or Number Answer data was reported at 7.000 % in Mar 2019. This records an increase from the previous number of 3.000 % for Dec 2018. Brazil Government Evaluation: Don't Know or Number Answer data is updated quarterly, averaging 1.000 % from Dec 2010 (Median) to Mar 2019, with 34 observations. The data reached an all-time high of 13.000 % in Jun 2016 and a record low of 1.000 % in Jun 2018. Brazil Government Evaluation: Don't Know or Number Answer data remains active status in CEIC and is reported by National Confederation of Industry. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SM001: Government Evaluation.

Thailand Domestic Sales: Other, Nec: Blood Transfusion Set & Saline Solution data was reported at 3,331,379.000 Unit in Jan 2019. This records an increase from the previous number of 3,179,410.000 Unit for Dec 2018. Thailand Domestic Sales: Other, Nec: Blood Transfusion Set & Saline Solution data is updated monthly, averaging 3,537,184.000 Unit from Jan 2016 (Median) to Jan 2019, with 37 observations. The data reached an all-time high of 4,681,133.000 Unit in May 2017 and a record low of 2,353,460.000 Unit in Feb 2018. Thailand Domestic Sales: Other, Nec: Blood Transfusion Set & Saline Solution data remains active status in CEIC and is reported by Office of Industrial Economics. The data is categorized under Global Database’s Thailand – Table TH.H006: Domestic Sales: Office of Industrial Economics (ISIC Rev. 4).