This statistic shows the share of economic sectors in the global gross domestic product (GDP) from 2014 to 2024. In 2024, agriculture contributed 4.02 percent, industry contributed approximately 25.97 percent and services contributed about 66.24 percent to the global gross domestic product. See global GDP for comparison.

The average for 2023 based on 168 countries was 124.18 billion U.S. dollars. The highest value was in China: 6812.37 billion U.S. dollars and the lowest value was in Micronesia: 0.02 billion U.S. dollars. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

As of January 2024, the most profitable industry in the United States was money center banking, with a profit margin of ***** percent. The profit margin of the regional banking was not too far off, with a net profit margin of *****.

Forbes is one of the most respected sources for financial information and global rankings. Their Global 2000 list includes the world’s largest public companies at 2024, providing invaluable insights into global markets and leading economic players.

Resource Link : https://www.forbes.com/lists/global2000/

Financial metrics (Sales , Profit , Assets , Market Value ) are in billions of dollars.

Explore how emerging technologies are transforming the global economy, driving innovation and creating new opportunities for growth.

This dataset provides comprehensive, up-to-date information about the top 100 Software-as-a-Service (SaaS) companies globally as of 2025. It includes detailed financial metrics, company fundamentals, and operational data that are crucial for market research, competitive analysis, investment decisions, and academic studies.

Key Features

• 100 leading SaaS companies across various industries
• 11 comprehensive data points per company
• Current 2025 data including latest valuations and ARR figures
• Verified information from multiple reliable sources
• Clean, analysis-ready format with consistent data structure

Use Cases

1. Market Research: Analyze SaaS industry trends and market dynamics
2. Investment Analysis: Evaluate growth patterns and valuation multiples
3. Competitive Intelligence: Benchmark companies within sectors
4. Academic Research: Study business models and growth strategies
5. Data Science Projects: Build predictive models for SaaS metrics
6. Business Strategy: Identify successful patterns in SaaS businesses

Industries Covered

Enterprise Software (CRM, ERP, HR) Developer Tools & DevOps Cybersecurity Data Analytics & Business Intelligence Marketing & Sales Technology Financial Technology Communication & Collaboration E-commerce Platforms Design & Creative Tools Infrastructure & Cloud Services

Why This Dataset? The SaaS industry has grown to over $300 billion globally, with companies achieving unprecedented valuations and growth rates. This dataset captures the current state of the industry leaders, providing insights into what makes successful SaaS companies tick.

Sources/Proof of Data: Data Sources The data has been meticulously compiled from multiple authoritative sources:

Company Financial Reports (Q4 2024 - Q1 2025)

Official earnings releases and investor relations documents SEC filings for public companies

Investment Databases

Crunchbase, PitchBook, and CB Insights for funding data Venture capital and private equity announcements

Market Research Reports

Gartner, Forrester, and IDC industry analyses SaaS Capital Index and valuation reports

Industry Publications

TechCrunch, Forbes, Wall Street Journal coverage Company press releases and official announcements

Product Review Platforms

G2 Crowd ratings and reviews Capterra and GetApp user feedback

Data Verification

Cross-referenced across multiple sources for accuracy Updated with latest available information as of May 2025 Validated against official company statements where available

In July 2024, global industrial production, excluding the United States, increased by 1.5 percent compared to the same time in the previous year, based on three month moving averages. This is compared to an increase of 0.2 percent in advanced economies (excluding the United States) for the same time period. The global industrial production collapsed after the outbreak of COVID-19, but increased steadily in the months after, peaking at 23 percent in June 2021. Industrial growth rate tracks the output production in the industrial sector.

This statistic shows the share of economic sectors in the gross domestic product (GDP) of selected global regions in 2024. In the Euro area, agriculture contributed 1.52 percent, industry contributed approximately 21.57 percent and services contributed about 66.9 percent to the gross domestic product. See global GDP for comparison.

BCC Research Market Report says big science should grow from $29.1 billion in 2020 to $41.6 billion by 2025 with a compound annual growth rate of 7.4%.

Global oil and gas production companies have gone through significant turbulence for most of the period. The pandemic and its accompanying lockdowns severely disrupted producers as revenue fell double digits and the industry's largest market, the transportation sector, was limited. This was quickly reversed as the economy opened and supply outpaced demand, causing prices to skyrocket. High prices, accompanied by swelling production, led to surging revenue. While prices eventually came back down late in the period, they remained high. Overall revenue has pushed up at a CAGR of 6.0% to $4.2 trillion through the end of 2024, including a slight 1.9% uptick in 2024 alone. Profit also surged as purchase costs came down. Emerging markets in BRIC nations, Southeast Asia and Africa continue to drive growth because of rapid industrialization and population increases, heightening the need for crude oil, natural gas and related downstream products. Even so, the gradual shift toward renewable energy poses challenges for producers, as many countries have implemented regulations and incentives to promote clean energy use. Geopolitical tensions and the uncertainties stemming from the global pandemic underscore the importance of diversifying supply sources to ensure energy security. Overall, industry revenue is set to push down at a CAGR of 3.6% to $3.5 trillion through the end of 2029. The bulk of this period will be highlighted by more efforts in oil and gas exploration and production in emerging markets, potentially transforming these regions into major global producers. Even so, the excess supply of oil and gas, combined with the push for sustainability, will drive prices down, leading to revenue contractions.

China % of Value Added of Core Industries of Digital Economy: Application of Digital Technology data was reported at 43.600 % in 2023. China % of Value Added of Core Industries of Digital Economy: Application of Digital Technology data is updated yearly, averaging 43.600 % from Dec 2023 (Median) to 2023, with 1 observations. The data reached an all-time high of 43.600 % in 2023 and a record low of 43.600 % in 2023. China % of Value Added of Core Industries of Digital Economy: Application of Digital Technology data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AVA: Value Added of Core Industries of Digital Economy.

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for Colombia (DDAM02COA156NWDB) from 2003 to 2020 about Colombia, market cap, companies, and stock market.

The report on Set-Top Box covers a summarized study of several factors supporting market growth, such as market size, market type, major regions, and end-user applications. The report enables customers to recognize key drivers that influence and govern the market.

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for China (DDAM02CNA156NWDB) from 2001 to 2020 about market cap, companies, stock market, and China.

Snapshot img

Big Data In Manufacturing Market Size 2025-2029

The big data in manufacturing market size is forecast to increase by USD 21.44 billion at a CAGR of 26.4% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing adoption of Industry 4.0 and the emergence of artificial intelligence (AI) and machine learning (ML) technologies. The integration of these advanced technologies is enabling manufacturers to collect, process, and analyze vast amounts of data in real-time, leading to improved operational efficiency, enhanced product quality, and increased competitiveness. Cost optimization is achieved through root cause analysis and preventive maintenance, and AI algorithms and deep learning are employed for capacity planning and predictive modeling.
To capitalize on the opportunities presented by the market and navigate these challenges effectively, manufacturers must invest in building strong data analytics capabilities and collaborating with technology partners and industry experts. By leveraging these resources, they can transform raw data into actionable insights, optimize their operations, and stay ahead of the competition. The sheer volume, velocity, and variety of data being generated require sophisticated tools and expertise to extract meaningful insights. Additionally, ensuring data security and privacy, particularly in the context of increasing digitalization, is a critical concern.

What will be the Size of the Big Data In Manufacturing Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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In the dynamic manufacturing market, Business Intelligence (BI) plays a pivotal role in driving operational efficiency and competitiveness. Blockchain technology and industrial automation are key trends, enhancing transparency and security in supply chain operations. Real-time monitoring systems, Data Integration Tools, and Data Analytics Dashboards enable manufacturers to gain insights from vast amounts of data. Lifecycle analysis, Smart Manufacturing, and Cloud-based Data Analytics facilitate predictive maintenance and optimize production.
PLC programming, Edge AI, KPI tracking, and Automated Reporting facilitate data-driven decision making. Manufacturing Simulation Software and Circular Economy principles foster innovation and sustainability. The market is transforming towards Digital Transformation, incorporating Predictive Maintenance Software and Digital Thread for enhanced visibility and agility. SCADA systems, Carbon Footprint, and Digital Thread promote sustainable manufacturing practices. AI-powered Quality Control, Performance Measurement, and Sensor Networks ensure product excellence.

How is this Big Data In Manufacturing Industry segmented?

The big data in manufacturing 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.

Type

  Services
  Solutions


Deployment

  On-premises
  Cloud-based
  Hybrid


Application

  Operational analytics
  Production management
  Customer analytics
  Supply chain management
  Others


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Type Insights

The services segment is estimated to witness significant growth during the forecast period. In the realm of manufacturing, the rise of data from sensors, machines, and operations presents a significant opportunity for analytics and insights. Big data services play a pivotal role in this landscape, empowering manufacturers to optimize resource allocation, minimize operational inefficiencies, and discover cost-saving opportunities. Real-time analytics enable predictive maintenance, reducing unplanned downtime and repair costs. Data visualization tools offer human-machine interfaces (HMIs) for seamless interaction, while machine learning and predictive modeling uncover hidden patterns and trends. Data security is paramount, with robust access control, encryption, and disaster recovery solutions ensuring data integrity. Supply chain management and demand forecasting are streamlined through data integration and real-time analytics.

Quality control is enhanced with digital twins and anomaly detection, minimizing defects and rework. Capacity planning and production monitoring are optimized through time series analysis and neural networks. IoT sensors and data acquisition systems feed data warehouses and data lakes, fueling statistical analysis and regression modeling. Energy efficiency is improved through data-driven insights, while inventory management

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.

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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.

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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.

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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.

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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.

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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...

The report covers Global Supply Chain Big Data Analytics Market Size and it is segmented by Type (Solution, Service), End User (Retail, Manufacturing, Transportation and Logistics, Healthcare, Other End Users), and Geography (North America, Europe, Asia Pacific, Latin America, and Middle East and Africa). The market size and forecasts are provided in terms of value (USD) for all the above segments.

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for Norway (DDAM02NOA156NWDB) from 1999 to 2017 about market cap, Norway, companies, and stock market.

The average for 2023 based on 10 countries was 99.6 billion U.S. dollars. The highest value was in Brazil: 483.93 billion U.S. dollars and the lowest value was in Suriname: 1.38 billion U.S. dollars. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

The global big data analytics market size was valued at $307.52 billion in 2023 & is projected to grow from $348.21 billion in 2024 to $961.89 billion by 2032