India scored 61.36 points out of 100 on the 2019 Global Competitiveness Report published by the World Economic Forum. This dataset provides the latest reported value for - India Competitiveness Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Explore the World Competitiveness Ranking dataset for 2016, including key indicators such as GDP per capita, fixed telephone tariffs, and pension funding. Discover insights on social cohesion, scientific research, and digital transformation in various countries.

Social cohesion, The image abroad of your country encourages business development, Scientific articles published by origin of author, International Telecommunication Union, World Telecommunication/ICT Indicators database, Data reproduced with the kind permission of ITU, National sources, Fixed telephone tariffs, GDP (PPP) per capita, Overall, Exports of goods - growth, Pension funding is adequately addressed for the future, Companies are very good at using big data and analytics to support decision-making, Gross fixed capital formation - real growth, Economic Performance, Scientific research legislation, Percentage of GDP, Health infrastructure meets the needs of society, Estimates based on preliminary data for the most recent year., Singapore: including re-exports., Value, Laws relating to scientific research do encourage innovation, % of GDP, Gross Domestic Product (GDP), Health Infrastructure, Digital transformation in companies is generally well understood, Industrial disputes, EE, Female / male ratio, State ownership of enterprises, Total expenditure on R&D (%), Score, Colombia, Estimates for the most recent year., Percentage change, based on US$ values, Number of listed domestic companies, Tax evasion is not a threat to your economy, Scientific articles, Tax evasion, % change, Use of big data and analytics, National sources, Disposable Income, Equal opportunity, Listed domestic companies, Government budget surplus/deficit (%), Pension funding, US$ per capita at purchasing power parity, Estimates; US$ per capita at purchasing power parity, Image abroad or branding, Equal opportunity legislation in your economy encourages economic development, Number, Article counts are from a selection of journals, books, and conference proceedings in S&E from Scopus. Articles are classified by their year of publication and are assigned to a region/country/economy on the basis of the institutional address(es) listed in the article. Articles are credited on a fractional-count basis. The sum of the countries/economies may not add to the world total because of rounding. Some publications have incomplete address information for coauthored publications in the Scopus database. The unassigned category count is the sum of fractional counts for publications that cannot be assigned to a country or economy. Hong Kong: research output items by the higher education institutions funded by the University Grants Committee only., State ownership of enterprises is not a threat to business activities, Protectionism does not impair the conduct of your business, Digital transformation in companies, Total final energy consumption per capita, Social cohesion is high, Rank, MTOE per capita, Percentage change, based on constant prices, US$ billions, National sources, World Trade Organization Statistics database, Rank, Score, Value, World Rankings

Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Latvia, Lithuania, Luxembourg, Malaysia, Mexico, Mongolia, Netherlands, New Zealand, Norway, Oman, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Saudi Arabia, Singapore, Slovenia, South Africa, Spain, Sweden, Switzerland, Thailand, Turkey, Ukraine, United Kingdom, Venezuela

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Abstract

The Global Investment Competitiveness 2019 Survey was conducted June–November 2019 through 30-minute phone interviews in the primary business language(s) of the host economies. The survey captures the experiences and perceptions of MNE affiliates on global megatrends and investment climate factors in 10 middle-income countries (MICs): Brazil, China, India, Indonesia, Malaysia, Mexico, Nigeria, Thailand, Turkey, and Vietnam. The survey was administered to senior executives of foreign-owned firms. Information was collected on the companies’ general characteristics, the importance and effect of global megatrends on business operations, contribution to the host economy, and the importance of investment policy factors and operational obstacles they face. The survey was designed to generate results that are representative at the country level and comparable across countries.

More information: https://www.worldbank.org/en/topic/competitiveness/publication/global-investment-competitiveness-report-2019-2020

Geographic coverage

Brazil, China, India, Indonesia, Malaysia, Mexico, Nigeria, Thailand, Turkey, and Vietnam.

Analysis unit

Firm, affiliate of multinational company

Universe

Firms (affiliates of multinational company) in 10 middle-income countries (MICs): Brazil, China, India, Indonesia, Malaysia, Mexico, Nigeria, Thailand, Turkey, and Vietnam.

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey represents experiences and perceptions of a representative sample of foreign-owned firms in each of 10 MICs: Brazil, China, India, Indonesia, Malaysia, Mexico, Nigeria, Thailand, Turkey, and Vietnam. Each country sample comprises roughly 250 foreign-owned firms with at least five employees. In each country, roughly 125 respondent firms operate in the manufacturing sector, and roughly 125 respondent firms operate in the services sector (see tables 1 and 2 in survey report provided as related documents). The only exception is Nigeria, where because of sampling frame limitations, the sample comprises 164 respon¬dents (55 manufacturing and 109 services). Thus, across the 10 target countries, more than 2,400 responses were collected.

Sampling frames comprising partially or fully foreign-owned businesses in the 10 MICs were constructed using commercially available and proprietary sources (Dunn & Bradstreet, Orbis/Bureau van Dijk, Sample Solutions, and others). The frames were de-duplicated and cleaned, and data quality was enhanced using standard sample framing and data manipulation techniques. In some sampling frames, all affiliates were contacted to reach the target sample size. In others, only select affiliates were contacted before the target was reached.

Sampling deviation

The only exception is Nigeria, where because of sampling frame limitations, the sample comprises 164 respon¬dents (55 manufacturing and 109 services). Thus, across the 10 target countries, more than 2,400 responses were collected.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Response rate

The overall response rate for the survey was 9.3 percent. This response rate is consistent with the current expected range for phone-based business surveys. The main fieldwork of the survey leveraged lessons from empirical research in survey design and administration to implement the strategies described below to ensure high response rates.

India IN: Competitiveness Indicator: Relative Consumer Prices: Overall Weights data was reported at 108.511 2015=100 in 2025. This records an increase from the previous number of 107.097 2015=100 for 2024. India IN: Competitiveness Indicator: Relative Consumer Prices: Overall Weights data is updated yearly, averaging 92.743 2015=100 from Dec 1995 (Median) to 2025, with 31 observations. The data reached an all-time high of 108.511 2015=100 in 2025 and a record low of 69.113 2015=100 in 1996. India IN: Competitiveness Indicator: Relative Consumer Prices: Overall Weights data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s India – Table IN.OECD.EO: Trade Statistics: Competitiveness Indicators In International Trade: Forecast: Non OECD Member: Annual. CPIDR - Indicator of competitiveness based on relative consumer prices Competitiveness-weighted relative consumer prices for the overall economy in dollar terms. .Competitiveness weights take into account the structure of competition in both export and import markets of the goods sector of 53 countries. An increase in the index indicates a real effective appreciation and a corresponding deterioration of the competitive position.Index, OECD reference year OECD calculation, see OECD Economic Outlook database documentation

As of 2024, Singapore ranked as the most digitally competitive country in the world. Digital competitiveness rankings aim to analyze a country's ability to adopt digital technologies and implement these technologies within enterprises and government organizations. Switzerland and Denmark rounded out the top three, while the United States ranked ******.

Abstract

The Firm Analysis and Competitiveness Survey of India (FACS) is a joint undertaking of the Confederation of Indian Industry and the World Bank Group. The objective of the survey is to generate information that state governments can use to formulate policies that better facilitate business creation and operations. This is the third of such surveys being carried out in India. The previous two surveys took place in 2000 and 2002 in 12 states.

In 2005, 2286 businesses were surveyed. The study covered such industries as textiles, garments, pharmaceuticals, electronics, electrical goods, auto-components, metal products, food and agro processing, plastics and plastic products. As in the previous surveys, the goal of the study is to advise state governments on ways to change policies that hinder the start up of more businesses, their expansion and competitiveness in potential export markets.

Firm-level surveys have been conducted since 1998 by different units within the World Bank. Since 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit (FPDEA), which now implements Enterprise Surveys across all geographic regions.

Geographic coverage

National

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instrument is available: - Firm Analysis and Competitiveness Survey of India 2005 Questionnaire.

The questionnaire has two parts. The first part is for the head of the business to respond to. It includes questions about the history and organization of the business, management, markets, supplies, access to technology, credit, skilled manpower, infrastructure, government policies, and business’ economic environment. The second part deals with production, financial, and human resource statistics and is to be answered by the accountant and the personnel manager.

In 2019, Japan received the highest travel and tourism competitiveness index (TTCI) score in the Asia Pacific region, of which the score was ***. Japan also ranked fourth globally for its travel and tourism competitiveness index. Comparatively, for the same year India received a TTCI score of ***.

The average for 2019 based on 141 countries was 4.07 points. The highest value was in Singapore: 6.5 points and the lowest value was in Chad: 1.9 points. The indicator is available from 2006 to 2019. Below is a chart for all countries where data are available.

Data Literacy Training Platforms Market Outlook

According to our latest research, the Global Data Literacy Training Platforms market size was valued at $1.2 billion in 2024 and is projected to reach $5.8 billion by 2033, expanding at a robust CAGR of 19.2% during the forecast period 2025–2033. The primary driver fueling this exponential growth is the increasing imperative for organizations worldwide to harness data-driven decision-making, coupled with the rapid digital transformation across industries. As businesses realize that data literacy is a foundational skill for workforce competitiveness and innovation, the demand for comprehensive data literacy training platforms is surging. This trend is further amplified by the proliferation of big data, analytics, and artificial intelligence technologies, which necessitate a workforce proficient in interpreting and leveraging complex data sets.

Regional Outlook

North America currently commands the largest share of the Data Literacy Training Platforms market, accounting for over 38% of global revenue in 2024. This dominance is largely attributed to the region’s mature digital ecosystem, advanced technological infrastructure, and early adoption of data-centric business models. The presence of numerous Fortune 500 companies, a robust EdTech sector, and proactive government initiatives to foster digital skills have further cemented North America’s leadership position. Additionally, the region benefits from a highly skilled workforce, a thriving startup environment, and significant investments in upskilling and reskilling initiatives, all of which contribute to the strong demand for data literacy training solutions across industries such as BFSI, healthcare, and IT.

The Asia Pacific region is emerging as the fastest-growing market for Data Literacy Training Platforms, projected to register a remarkable CAGR of 23.6% through 2033. This accelerated growth is driven by rapid digitalization, escalating investments in educational technology, and the increasing recognition among enterprises of the critical role data literacy plays in maintaining global competitiveness. Countries such as China, India, and Singapore are witnessing a surge in demand for cloud-based data literacy solutions, fueled by government-led digital transformation programs and a burgeoning population of digitally native professionals. The region’s dynamic startup ecosystem, coupled with strategic partnerships between global technology providers and local enterprises, is further propelling market expansion.

In emerging economies across Latin America, the Middle East, and Africa, the adoption of Data Literacy Training Platforms is gaining momentum, albeit at a relatively moderate pace compared to developed markets. These regions face unique challenges, including limited access to digital infrastructure, budget constraints, and a shortage of qualified trainers. However, localized demand is rising as governments and multinational corporations invest in workforce development and digital literacy initiatives. Policy reforms aimed at bridging the digital divide and increasing internet penetration are gradually facilitating the uptake of data literacy solutions. Despite infrastructural hurdles, these markets present significant long-term growth potential as organizations seek to enhance productivity and competitiveness in an increasingly data-driven global economy.

Report Scope

Graph and download economic data for Boone Indicator in Banking Market for India (DDOI05INA156NWDB) from 1999 to 2014 about boone indicator, India, banks, and depository institutions.

The U.S. currently enjoys a position among the world’s foremost innovative and scientifically advanced economies but the emergence of new economic powerhouses like China and India threatens to disrupt the global distribution of innovation and economic competitiveness. Among U.S. policy makers, the promotion of advanced education, particularly in the STEM (Science, Technology, Engineering and Mathematics) fields, has become a key strategy for ensuring the U.S.’s position as an innovative economic leader. Since approximately one third of science and engineering post-graduate students in the U.S. are foreign born, the future of the U.S. STEM educational system is intimately tied to issues of global competitiveness and American immigration policy. This study utilizes a combination of national education data, a survey of foreign-born STEM graduate students, and in-depth interviews of a sub-set of those students to explain how a combination of scientists’ and engineers’ educational decisions, as well as their experience in school, can predict a students’ career path and geographical location, which can affect the long-term innovation environment in their home and destination country. This study highlights the fact that the increasing global competitiveness in STEM education and the complex, restrictive nature of U.S. immigration policies are contributing to an environment where the American STEM system may no longer be able to comfortably remain the premier destination for the world’s top international students.

Abstract

The Firm Analysis and Competitiveness Survey of India (FACS) 2002 is a joint undertaking of the Confederation of Indian Industry and the World Bank Group towards better understanding of the investment climate of States. It follows upon a similar survey of 1200 firms that the two institutions carried out in 2000.

In 2002, 1827 businesses from 12 states were surveyed. The study covered exporting industries, namely, textiles, garments, pharmaceuticals, electronics, electrical White goods, chemicals, metal and auto-components. As in the previous survey, the goal of the study is to advise state governments on ways to change policies that hinder the start up of more businesses, their expansion and competitiveness in potential export markets.

Firm-level surveys have been conducted since 1998 by different units within the World Bank. Since 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit (FPDEA), which now implements Enterprise Surveys across all geographic regions.

Geographic coverage

National

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instrument is available: - Firm Analysis and Competitiveness Survey of India 2002 Questionnaire.

The questionnaire has two parts. The first part is for the head of the business to respond to. It includes questions about the history and organization of the business, management, markets, supplies, access to technology, credit, skilled manpower, infrastructure, government policies, and business’ economic environment. The second part deals with production, financial, and human resource statistics and is to be answered by the accountant and the personnel manager.

English Language Learning Market Outlook

The English Language Learning market size was valued at USD 50 billion in 2023 and is projected to reach USD 100 billion by 2032, growing at a CAGR of 8%. This significant growth is driven by the increasing globalization and the rising necessity of English proficiency in both academic and professional spheres. The adoption of digital learning tools, the rise of e-learning platforms, and the growing emphasis on cross-border educational exchanges are some of the pivotal factors propelling the market's expansion.

One of the primary growth factors in the English Language Learning market is the widespread use of the English language as the global lingua franca. In an increasingly interconnected world, proficiency in English is often seen as a critical skill for career advancement, international business, and academic success. English is the dominant language of the internet, international law, and global commerce, making it an indispensable tool for communication. Consequently, there is a growing demand for English language learning programs among students, professionals, and migrants seeking better opportunities.

The proliferation of digital technologies and online learning platforms has also significantly contributed to the market's growth. The convenience and flexibility offered by digital learning tools enable learners to access high-quality English language courses from anywhere in the world, at any time. Interactive apps, virtual classrooms, and AI-powered language learning software have made English learning more engaging and personalized. This technological advancement is particularly beneficial for non-native speakers in remote or underserved regions who may not have access to traditional classroom settings.

Another driving factor is the increasing investment in education by governments and private sectors worldwide. Many countries recognize the importance of English proficiency in fostering economic growth and competitiveness on the global stage. Consequently, there are numerous initiatives aimed at integrating English language learning into national education systems. The expansion of international student exchange programs and scholarships also promotes the learning of English as a second language. These efforts are bolstered by collaborations between educational institutions, technology providers, and language training centers.

Regionally, Asia Pacific is anticipated to witness the highest growth in the English Language Learning market. Countries such as China, India, and Japan are investing heavily in English education to enhance their global competitiveness. The region's vast population and growing middle class, coupled with the emphasis on English as a key skill for academic and professional success, drive this growth. North America and Europe also hold significant market shares, driven by the continuous influx of immigrants and international students, along with the strong presence of leading educational technology companies. Latin America and the Middle East & Africa, although smaller in market size, are experiencing steady growth due to increasing awareness and investment in English education.

Product Type Analysis

The English Language Learning market is segmented by product type into Digital Learning, Classroom Learning, and Blended Learning. Digital Learning, which encompasses online courses, mobile applications, and software-based learning tools, is the fastest-growing segment. The rise of e-learning platforms like Duolingo, Babbel, and Rosetta Stone has revolutionized how people learn English. These platforms offer interactive and engaging content, often powered by artificial intelligence to provide personalized learning experiences. The convenience of accessing learning materials from any location and the cost-effectiveness of digital platforms make this segment highly attractive, especially for self-directed learners and working professionals.

Classroom Learning remains a vital segment, particularly in regions where traditional education systems are deeply ingrained. This segment includes structured courses offered by schools, colleges, language institutes, and private tutors. Despite the surge in digital learning, many learners still prefer the structured environment and direct interaction with instructors that classroom settings provide. This segment is particularly robust in regions with well-established educational institutions and where cultural attitudes towards traditional education are prevalent. Furthermore, classroom learning often includes immersive experiences and peer inte

AI & Machine Learning Market Outlook

The AI & Machine Learning market size is forecasted to grow from USD 128.9 billion in 2023 to USD 684.6 billion by 2032, at a compound annual growth rate (CAGR) of 20.5%. The market's rapid expansion is driven by the increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies across various sectors, including healthcare, finance, and manufacturing, as these technologies become more integral to operations and decision-making processes.

One of the primary growth factors for this market is the continuous advancements in computational power and data processing capabilities. The exponential increase in data generated from various sources, such as IoT devices, social media, and enterprise systems, has created a substantial demand for sophisticated AI and ML algorithms to analyze and derive actionable insights. This surge in data, coupled with improvements in hardware, such as GPUs and TPUs, has made real-time analytics and complex model training more feasible and efficient, thereby fueling market growth.

Additionally, the increasing investments in AI and ML by both private and public sectors are significantly contributing to the market's expansion. Governments worldwide are recognizing the strategic importance of AI and ML technologies for national security, economic growth, and global competitiveness. Various initiatives and funding programs aimed at fostering AI research and development are being established, which, in turn, are encouraging startups and established companies to innovate and develop new AI-driven solutions. This influx of capital and resources is expected to sustain the market's growth trajectory over the coming years.

The proliferation of AI and ML applications across diverse industries is also a critical driver for market growth. In healthcare, AI is being used for predictive analytics, personalized medicine, and automated diagnostics, enhancing patient care and operational efficiency. In finance, AI and ML are employed for fraud detection, risk management, and algorithmic trading, offering significant cost savings and improved decision-making. The retail and e-commerce sectors leverage AI for customer behavior analysis, personalized recommendations, and inventory management, optimizing the overall shopping experience and operational workflow.

From a regional perspective, North America currently holds the largest market share, driven by technological advancements, significant R&D investments, and the presence of key market players. However, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period. Increasing digitalization, growing adoption of AI-driven technologies in emerging economies like China and India, and supportive government policies are contributing to this rapid growth. Europe and Latin America are also expected to experience substantial growth, attributed to rising awareness and integration of AI and ML across various sectors.

Component Analysis

The AI & Machine Learning market is segmented by components into software, hardware, and services. Each of these segments plays a crucial role in the ecosystem, contributing to the overall functionality and deployment of AI and ML technologies. The software segment, which includes AI platforms, machine learning frameworks, and analytics tools, is the largest and fastest-growing component of the market. This segment's growth is primarily driven by the increasing demand for AI-powered applications and solutions that can automate processes, enhance decision-making, and provide predictive insights. Organizations are investing heavily in AI software to gain a competitive edge, streamline operations, and deliver innovative products and services to customers.

The hardware segment, comprising GPUs, TPUs, and other specialized AI processors, is also witnessing significant growth. These hardware components are essential for the efficient processing and training of complex AI models, enabling faster and more accurate data analysis. The advancements in hardware technologies are making it possible to handle large datasets and perform real-time analytics, which are critical for applications such as autonomous driving, natural language processing, and computer vision. The demand for high-performance hardware is expected to continue growing as AI and ML applications become more sophisticated and widespread.

The services segment includes consulting, implementation, and maintenance services that support the deployment and integ

Explore India's agricultural export industry, highlighting its role in the economy, key products like rice, spices, and tea, major exporters, and the impact of trade policies on maintaining global competitiveness.

IO-Link Master Hub Market Outlook

According to our latest research, the Global IO-Link Master Hub market size was valued at $1.2 billion in 2024 and is projected to reach $3.8 billion by 2033, expanding at a robust CAGR of 13.5% during the forecast period 2025–2033. The primary factor driving the growth of the IO-Link Master Hub market globally is the accelerated adoption of Industry 4.0 technologies, which emphasize smart automation, real-time data exchange, and interconnected industrial systems. As manufacturers and process industries increasingly seek to optimize operational efficiency, reduce downtime, and enable seamless device integration, the demand for advanced IO-Link Master Hubs continues to surge. These hubs play a pivotal role in bridging field-level devices with higher-level control systems, enabling enhanced diagnostics, predictive maintenance, and flexible production processes across diverse industry verticals.

Regional Outlook

Europe currently commands the largest share of the global IO-Link Master Hub market, accounting for over 38% of the total revenue in 2024. The region’s dominance is attributed to its mature manufacturing sector, early adoption of automation technologies, and stringent industrial safety and efficiency regulations. Countries such as Germany, France, and Italy have been at the forefront of integrating IO-Link-enabled solutions, driven by well-established automotive, machinery, and process industries. The presence of leading IO-Link technology providers and a robust ecosystem of system integrators further reinforce Europe’s leadership. Additionally, supportive government initiatives promoting digital transformation and smart factory development have accelerated investments in IO-Link infrastructure, ensuring sustained market growth throughout the forecast period.

The Asia Pacific region is poised to experience the fastest growth in the IO-Link Master Hub market, with a projected CAGR of 16.2% from 2025 to 2033. This remarkable expansion is fueled by rapid industrialization, significant foreign direct investment, and the proliferation of advanced manufacturing facilities in countries such as China, Japan, South Korea, and India. The region’s burgeoning automotive, electronics, and food & beverage sectors are increasingly deploying IO-Link-enabled automation to enhance productivity and maintain global competitiveness. Furthermore, government-led initiatives such as “Made in China 2025” and “Make in India” are incentivizing the adoption of smart manufacturing technologies. The growing presence of local and international IO-Link solution providers, coupled with rising awareness among end-users about the benefits of IO-Link integration, is expected to sustain the region’s high growth trajectory.

Emerging economies in Latin America and Middle East & Africa are gradually embracing IO-Link Master Hub technologies, albeit at a slower pace due to infrastructure constraints and limited awareness. Nevertheless, localized demand is rising, particularly in the oil & gas, chemicals, and food processing sectors, where operational efficiency and equipment reliability are becoming critical. Policy reforms aimed at modernizing industrial infrastructure and enhancing export competitiveness are encouraging investments in automation. However, challenges such as limited skilled workforce, high initial investment costs, and inconsistent regulatory frameworks may temporarily impede widespread adoption. As these regions continue to prioritize industrial modernization and digital transformation, the IO-Link Master Hub market is expected to witness incremental gains, with tailored solutions designed to address unique local requirements and operational challenges.

Report Scope

Abstract: While the U.S. currently enjoys a position among the world’s foremost innovative and scientifically advanced economies, the emergence of new economic powerhouses like China and India threatens to disrupt the global distribution of innovation and economic competitiveness. Among U.S. policy makers, the promotion of advanced education, particularly in the STEM (Science, Technology, Engineering and Mathematics) fields, has become a key strategy for ensuring the U.S.’s position as an innovative economic leader. Since approximately one third of science and engineering post-graduate students in the U.S. are foreign born, the fate of the U.S. STEM educational system is intimately tied to issues of global competitiveness and American immigration policy. This study utilizes a combination of national education data, a survey of foreign-born STEM graduate students, and in-depth interviews of a sub-set of those students to explain how a combination of scientists’ and engineers’ educational decisions, as well as their experience in school, can predict a students’ career path and geographical location, which can affect the long-term innovation environment in their home and destination country. This study highlights the fact that the increasing global competitiveness in STEM education and the complex, restrictive nature of U.S. immigration policies are contributing to an environment where the American STEM system may no longer be able to comfortably remain the premier destination for the world’s top international students. Methods: Survey design and implementation The primary goals of our study were threefold: to determine which factors influenced foreign STEM students to pursue their education in the United States; their plans to remain or return home after graduation; and their decision to pursue academic or business-oriented careers. To accomplish this, we emailed international graduate students in STEM fields at the University of California, Santa Barbara (UCSB) with an introduction to the study and a survey link, assuring anonymity for their responses. UCSB is a public research university with a total enrollment of approximately 22,000 students, of which about 3,000 students are those at the graduate level. The survey consisted of four categories of questions: (1) basic background information (e.g., age, gender, major, year of study); (2) reasons for studying in the U.S.; (3) perceptions of their graduate education in the U.S.; and (4) plans after graduation. The online survey was active from May 2-24, 2013, and resulted in a 42% completion rate.[1] Students were given an option at the end of the survey to specify their interest in conducting any follow-up interviews. A total of 12 follow-up interviews were conducted between January 27 and February 21, 2014. Data: Complete survey results (N=166) are provided in this dataset along with metadata.

Discover the booming Indian software services export market! This in-depth analysis reveals a $151.6B market projected for 4.53% CAGR growth (2025-2033), driven by tech advancements and global demand. Explore key players, regional trends, and future forecasts. Recent developments include: May 2024: Quest Global, a product engineering services company, announced that it acquired People Tech Group, a digital transformation and digital innovation firm. This strategic alliance catered to digital transformation for software-defined vehicles (SDV). Strong capabilities in architecture, design, UX, development, and testing of HMI & applications for infotainment systems and instrument clusters will strengthen Quest Global's enterprise software, cloud, data engineering, and analytics capabilities for the dynamic Hi-Tech industry., October 2023: Mphasis, an information technology (IT) solutions provider, acquired Silverline, a digital transformation consultancy and Salesforce partner. By deploying Salesforce technology and deep industry knowledge, Silverline facilitates organizations' taking a data-driven and technology-focused approach to connecting with clients and helps companies build digital capabilities in the Salesforce ecosystem.. Key drivers for this market are: Increasing Demand for Infrastructure Modernization, Digital Support, and Cloud Services Owing to Pandemic Challenges, Government Reforms Aiding IT Industry that has Reduced Compliance, Increased Productivity, and Increased Global Competitiveness. Potential restraints include: Increasing Demand for Infrastructure Modernization, Digital Support, and Cloud Services Owing to Pandemic Challenges, Government Reforms Aiding IT Industry that has Reduced Compliance, Increased Productivity, and Increased Global Competitiveness. Notable trends are: Increasing Demand for Infrastructure Modernization, Digital Support, and Cloud Services.

Multivariate Process Control with AI Market Outlook

According to our latest research, the Global Multivariate Process Control with AI market size was valued at $1.7 billion in 2024 and is projected to reach $6.4 billion by 2033, expanding at an impressive CAGR of 15.8% during the forecast period of 2025–2033. The primary driver fueling this robust growth is the increasing demand for real-time data analytics and predictive quality assurance in complex industrial processes. As industries worldwide strive to optimize operational efficiency, reduce downtime, and enhance product quality, the integration of artificial intelligence into multivariate process control systems has become critical. These advancements enable organizations to interpret vast datasets from multiple variables simultaneously, allowing for predictive maintenance, early fault detection, and adaptive process management, which collectively contribute to significant cost savings and improved competitiveness in the global market.

Regional Outlook

North America currently dominates the global Multivariate Process Control with AI market, accounting for the largest market share in 2024. The region's leadership stems from its mature industrial base, advanced technological infrastructure, and a strong culture of early adoption of cutting-edge AI solutions. The presence of major technology vendors, robust investment in research and development, and supportive government policies around digital transformation have further accelerated market penetration. Sectors such as pharmaceuticals, automotive, and food & beverage in the United States and Canada are leveraging AI-enabled multivariate process control to meet stringent regulatory standards and achieve higher operational efficiency. The region’s focus on sustainable manufacturing and smart factories is expected to maintain its dominance throughout the forecast period.

Asia Pacific is projected to be the fastest-growing region in the Multivariate Process Control with AI market, with a remarkable CAGR of 18.7% between 2025 and 2033. This rapid expansion is fueled by significant investments in industrial automation, the proliferation of smart manufacturing initiatives, and the increasing adoption of Industry 4.0 technologies across China, Japan, South Korea, and India. Governments in these countries are actively supporting digital transformation through favorable policies and funding, while local enterprises are investing in AI-driven process control to enhance productivity and global competitiveness. The region’s burgeoning manufacturing sector, coupled with rising demand for high-quality products and operational efficiency, makes Asia Pacific a key growth engine for the global market.

Emerging economies in Latin America, the Middle East, and Africa are gradually adopting multivariate process control with AI, albeit at a slower pace due to challenges such as limited technical expertise, infrastructure constraints, and budgetary limitations. However, localized demand for process optimization in industries like oil & gas, mining, and food processing is driving incremental adoption. Policy reforms aimed at industrial modernization and digitalization are beginning to create new opportunities, but market penetration remains hindered by the need for skilled professionals and reliable data infrastructure. As these regions continue to address these barriers, they are expected to contribute increasingly to the global market’s growth trajectory.

Report Scope

Closed-Loop SPC Market Outlook

According to our latest research, the Global Closed-Loop SPC Market size was valued at $1.25 billion in 2024 and is projected to reach $3.82 billion by 2033, expanding at a robust CAGR of 13.2% during 2024–2033. The primary driver behind this remarkable growth is the increasing adoption of real-time process control systems across manufacturing and industrial sectors, which are under pressure to enhance product quality, minimize defects, and meet stringent regulatory requirements. As industries worldwide pursue digital transformation and automation, Closed-Loop Statistical Process Control (SPC) solutions are becoming vital for ensuring continuous process improvement, reducing operational costs, and maintaining competitive advantage.

Regional Outlook

North America currently commands the largest share of the Closed-Loop SPC market, accounting for over 38% of the global revenue in 2024. This dominance is attributed to the region’s mature manufacturing ecosystem, high penetration of advanced automation technologies, and early adoption of Industry 4.0 standards. The United States, in particular, has witnessed significant investments in process optimization by automotive, aerospace, and electronics manufacturers, who are keen to leverage SPC solutions for quality assurance and regulatory compliance. Furthermore, robust support from government initiatives aimed at revitalizing domestic manufacturing and the presence of leading technology vendors have further cemented North America’s leadership position in the Closed-Loop SPC market.

The Asia Pacific region is poised to experience the fastest growth, with a projected CAGR of 16.5% between 2024 and 2033. This rapid expansion is driven by the burgeoning manufacturing sectors in China, Japan, South Korea, and India, where digitalization and automation are being embraced to boost productivity and global competitiveness. Substantial investments in smart factories, coupled with government policies promoting industrial modernization—such as China’s “Made in China 2025” and India’s “Make in India”—are accelerating the deployment of Closed-Loop SPC solutions. The region’s large, price-sensitive SME base is also increasingly recognizing the value proposition of SPC in reducing waste and improving yield, further fueling market growth.

Emerging economies in Latin America and Middle East & Africa are gradually adopting Closed-Loop SPC solutions, though at a slower pace compared to their developed counterparts. Challenges such as limited technical expertise, fragmented regulatory frameworks, and constrained capital expenditure have somewhat restricted widespread implementation. However, localized demand from export-oriented industries, ongoing policy reforms, and growing awareness of quality standards are expected to spur gradual adoption. As global manufacturers establish new production bases in these regions to diversify supply chains, the need for robust quality control systems like Closed-Loop SPC will become increasingly pronounced.

Report Scope