The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027.
What is Big data?
Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets.
Big data analytics
Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.
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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.
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.
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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%.
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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
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By 2034, the Creator Economy Market is expected to reach a valuation of USD 1,072.8 billion, expanding at a healthy CAGR of 21.8%.
The market size of the global space economy in 2023 was 630 billion U.S. dollars, with backbone applications accounting for more than half of the gains. The space industry was estimated to grow even further and generate approximately 1.8 trillion U.S. dollars in 2035, with reach applications projected to have the largest share of 57 percent.
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The global market size of Over the Top is $XX million in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX million by the end of 2024 with a CAGR of XX% from 2019 to 2024.
Global Over the Top Market Report 2019 - Market Size, Share, Price, Trend and Forecast is a professional and in-depth study on the current state of the global Over the Top industry. The key insights of the report:
1.The report provides key statistics on the market status of the Over the Top manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
2.The report provides a basic overview of the industry including its definition, applications and manufacturing technology.
3.The report presents the company profile, product specifications, capacity, production value, and 2013-2018 market shares for key vendors.
4.The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
5.The report estimates 2019-2024 market development trends of Over the Top industry.
6.Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out
7.The report makes some important proposals for a new project of Over the Top Industry before evaluating its feasibility.
There are 4 key segments covered in this report: competitor segment, product type segment, end use/application segment and geography segment.
For competitor segment, the report includes global key players of Over the Top as well as some small players.
The information for each competitor includes:
* Company Profile
* Main Business Information
* SWOT Analysis
* Sales, Revenue, Price and Gross Margin
* Market Share
For product type segment, this report listed main product type of Over the Top market
* Product Type I
* Product Type II
* Product Type III
For end use/application segment, this report focuses on the status and outlook for key applications. End users sre also listed.
* Application I
* Application II
* Application III
For geography segment, regional supply, application-wise and type-wise demand, major players, price is presented from 2013 to 2023. This report covers following regions:
* North America
* South America
* Asia & Pacific
* Europe
* MEA (Middle East and Africa)
The key countries in each region are taken into consideration as well, such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.
Reasons to Purchase this Report:
* Analyzing the outlook of the market with the recent trends and SWOT analysis
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* Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
* Market value (USD Million) and volume (Units Million) data for each segment and sub-segment
* Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
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We also can offer customized report to fulfill special requirements of our clients. Regional and Countries report can be provided as well.
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
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The global Big Data Infrastructure market size was valued at approximately $98 billion in 2023 and is projected to grow to around $235 billion by 2032, exhibiting a compound annual growth rate (CAGR) of about 10.1% during the forecast period. This impressive growth can be attributed to the increasing demand for big data analytics across various sectors, which necessitates robust infrastructure capable of handling vast volumes of data effectively. The need for real-time data processing has also been a significant driver, as organizations seek to harness data to gain competitive advantages, improve operational efficiencies, and enhance customer experiences.
One of the primary growth factors driving the Big Data Infrastructure market is the exponential increase in data generation from digital sources. With the proliferation of connected devices, social media, and e-commerce, the volume of data generated daily is staggering. Organizations are realizing the value of this data in gaining insights and making informed decisions. Consequently, there is a growing demand for infrastructure solutions that can store, process, and analyze this data effectively. Additionally, developments in cloud computing have made big data technology more accessible and affordable, further fueling market growth. The ability to scale resources on-demand without significant upfront capital investment is particularly appealing to businesses.
Another critical factor contributing to the growth of the Big Data Infrastructure market is the advent of advanced technologies such as artificial intelligence, machine learning, and the Internet of Things (IoT). These technologies require sophisticated data management solutions capable of handling complex and large-scale data sets. As industries across the spectrum from healthcare to manufacturing integrate these technologies into their operations, the demand for capable infrastructure is scaling correspondingly. Moreover, regulatory requirements around data management and security are prompting organizations to invest in reliable infrastructure solutions to ensure compliance and safeguard sensitive information.
The role of data analytics in shaping business strategies and operations has never been more pertinent, driving organizations to invest in Big Data Infrastructure. Businesses are keenly focusing on customer-centric approaches, understanding market trends, and innovating based on data-driven insights. The ability to predict trends, consumer behavior, and potential challenges offers a significant strategic advantage, further pushing the demand for robust data infrastructure. Additionally, strategic partnerships between technology providers and enterprises are fostering an ecosystem conducive to big data initiatives.
From a regional perspective, North America currently holds the largest share in the Big Data Infrastructure market, driven by the early adoption of advanced technologies and the presence of major technology companies. The region's strong digital economy and a high degree of IT infrastructure sophistication are further bolstering its market position. Europe is expected to follow suit, with significant investments in data infrastructure to meet regulatory standards and drive digital transformation. The Asia Pacific region, however, is anticipated to witness the highest growth rate, attributed to rapid digitalization, the proliferation of IoT devices, and increasing awareness of the benefits of big data analytics among businesses. Other regions like Latin America and the Middle East & Africa are also poised for growth, albeit at a relatively moderate pace, as they continue to embrace digital technologies.
In the realm of Big Data Infrastructure, the component segment is categorized into hardware, software, and services. The hardware segment consists of the physical pieces needed to store and process big data, such as servers, storage devices, and networking equipment. This segment is crucial because the efficiency of data processing depends significantly on the capabilities of these physical components. With the rise in data volumes, there’s an increased demand for scalable and high-performance hardware solutions. Organizations are investing heavily in upgrading their existing hardware to ensure they can handle the data influx effectively. Furthermore, the development of advanced processors and storage systems is enabling faster data processing and retrieval, which is critical for real-time analytics.
The software segment of Big Data Infrastructure encompasses analytics soft
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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.
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Global Sharing Economy market size was USD 145.22 Billion in 2022. Sharing Economy Industry's Compound Annual Growth Rate will be 32.6% from 2023 to 2030. What is driving the Sharing Economy Market?
The proliferation of advanced digital platforms and devices
In recent years, the sharing economy has changed the way individuals share and conduct transactions in digital areas. The recent technological advancements have enabled transactions to take place on demand, to be precisely measurable in time and thus more scalable, and to be dynamically matched through an online platform. Advanced digital platforms and devices, such as smartphones and high-speed internet, have increased connectivity. This connectivity enables sharing economy platforms to connect providers and consumers effortlessly. People can easily access sharing economy services through mobile apps or websites, facilitating resource and service sharing. Digital platforms provide users with easy access to information about available resources and services. Through sharing economy platforms, individuals can quickly find and compare options, making it convenient to rent or share assets. The availability of detailed listings, photos, reviews, and ratings helps users make informed decisions and build trust in the sharing economy ecosystem. The companies in the sharing economy are growing as a result of profound shifts in consumer behavior. One of the major players in sharing economy is Uber which has in just a few years completely transformed industries and became the largest player in the sharing economy. Uber manages around 157 000 rides globally on an average day. According to Uber, 131 million people used Uber in 2022, an 11% increase by 2021. Moreover, the increasing adoption of smartphones is supporting the growth of the sharing economy. Smartphones provide individuals with constant access to sharing economy platforms, enabling on-the-go booking, real-time communication with service providers, and instant updates. The convenience and mobility offered by smartphones have significantly expanded the reach and usage of sharing economy services. According to the source GSMA Intelligence, smartphones accounted for 68% of total mobile connections in 2020,8 compared to 64% in 2019 and 47% in 2016 across the world. Thus, the increasing usage of smartphones globally led to adopt the digital platforms, which in turn fuels the growth of the sharing economy. Furthermore, the development of advanced digital platforms prioritizes user experience and offers intuitive interfaces by allowing individuals to easily navigate and interact with the platforms. Companies are increasingly expanding their business in the shared mobility industry and developing innovative platforms for users. For instance, Force Motors launched a next-generation shared mobility platform called Urbania. The simplicity and convenience of these platforms make it easy for users to engage in sharing activities, accelerating the growth of the sharing economy market. These technological advancements for the development of cost-effective products have been contributing to driving the growth and adoption of sharing economy services.
Changing consumer preferences fuels the market growth
Rising focus on sustainability and environmental consciousness (Access Detailed Analysis in the Full Report Version)
Substantial growth of the entertainment industry (Access Detailed Analysis in the Full Report Version)
Introduction of Sharing Economy
The sharing economy is an economic model defined as a peer-to-peer (P2P) based activity of providing, acquiring, or sharing access to goods and services that is often facilitated by a community-based online platform. Sharing economy (SE) is a relatively new field of economics, gaining more traction from various industries. It has several applications in materials, transportation, hospitality, and sharing of information and knowledge. SE is related to various economic and environmental aspects such as sustainability, environment-friendly practices, circularity, less production, and more responsible use of resources. Sharing economy helps connect goods and services seekers with their providers using technology. It helps businesses reduce costs and increase efficiency along with environment-friendly choices for consumers. Further, some prominent factors that led to the boost of economy sharing are...
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Big Data Market was valued at USD 170 billion in 2022 and is forecast to touch USD 378 billion in 2030, and the market is expected to grow at a CAGR of 10.5% from 2023-2030
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 *****.
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Slovenia SI: GDP: % of Manufacturing: Medium and High Tech Industry data was reported at 37.232 % in 2022. This records an increase from the previous number of 37.109 % for 2021. Slovenia SI: GDP: % of Manufacturing: Medium and High Tech Industry data is updated yearly, averaging 37.232 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 49.663 % in 2012 and a record low of 28.721 % in 1993. Slovenia SI: GDP: % of Manufacturing: Medium and High Tech Industry data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Slovenia – Table SI.World Bank.WDI: Gross Domestic Product: Share of GDP. The proportion of medium and high-tech industry value added in total value added of manufacturing;United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database;;
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Market Research companies have benefited from research and development (R&D) expenditure growth as companies develop new products to satisfy consumer demand. Downstream companies continue to rely on market research to create new products and campaigns that fit ever-changing consumer preferences. As companies strive to enhance consumer-centric strategies amid increased consumer spending, demand for tailored market research solutions has surged. High corporate profit levels have enabled businesses to invest in research and development. The digital shift has further transformed the landscape, with companies pioneering new research tools to tap into the vast potential of big data to enhance accessibility and participation. These trends have led to revenue growing at a CAGR of 3.9% to $36.6 billion over the next five years, including a 2.4% gain in 2025 alone. Consumers' and advertisers' growing reliance on the internet has led to new metrics market researchers can use to better understand consumers. These have allowed new companies to enter the industry and driven providers to adjust services and implement new technologies. The rising use of social media has also contributed to the growing demand for market research. These technological advancements improved data collection and analysis methods, offering actionable insights that helped companies refine marketing strategies and develop better products. New opportunities continue to drive revenue growth, but expansions to services and onboarding of new technology have cut into industry profit. Companies will strengthen their R&D budgets as economic conditions improve, further driving demand for advanced market research tools. The proliferation of online commerce and smart technologies will give researchers unprecedented access to consumer data. Technological developments, such as artificial intelligence (AI), are poised to create new metrics based on human reactions, which companies can leverage to better understand consumer behavior and preferences. These new technologies will develop new market research opportunities. Access to these metrics, however, will lead to tightening data privacy regulations. There's a growing emphasis on ethical practices, transparency and data security. This will shape consumer trust and industry standards, creating new opportunities and challenges in a rapidly evolving marketplace. Revenue is poised to grow at a CAGR of 2.2% to $40.9 billion through the end of 2030.
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Stay updated with Market Research Intellect's Gig Economy Platforms Market Report, valued at USD 450 billion in 2024, projected to reach USD 1 trillion by 2033 with a CAGR of 10.5% (2026-2033).
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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.
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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.
The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027.
What is Big data?
Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets.
Big data analytics
Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.