The market for artificial intelligence grew beyond *** billion U.S. dollars in 2025, a considerable jump of nearly ** billion compared to 2023. This staggering growth is expected to continue, with the market racing past the trillion U.S. dollar mark in 2031. AI demands data Data management remains the most difficult task of AI-related infrastructure. This challenge takes many forms for AI companies. Some require more specific data, while others have difficulty maintaining and organizing the data their enterprise already possesses. Large international bodies like the EU, the US, and China all have limitations on how much data can be stored outside their borders. Together, these bodies pose significant challenges to data-hungry AI companies. AI could boost productivity growth Both in productivity and labor changes, the U.S. is likely to be heavily impacted by the adoption of AI. This impact need not be purely negative. Labor rotation, if handled correctly, can swiftly move workers to more productive and value-added industries rather than simple manual labor ones. In turn, these industry shifts will lead to a more productive economy. Indeed, AI could boost U.S. labor productivity growth over a 10-year period. This, of course, depends on various factors, such as how powerful the next generation of AI is, the difficulty of tasks it will be able to perform, and the number of workers displaced.
In 2020, the global AI software market is expected to grow approximately ** percent year-on-year, reaching a forecast size of ***** billion U.S. dollars. AI is a term used to describe a variety of technologies referring to the creation of intelligent software or hardware able to learn and solve problems. These include machine learning, computer vision, and natural language processing (NLP), among others. AI is expected to have wide adoption in and implications for every industry vertical and is likely to be one of the next great technological shifts, like the advent of the computer age or the smartphone revolution. AI Revolution: an increase or decrease in human labor? Despite its potential to optimize the way many industries operate, AI is feared to replace human labor in some. The automotive and assembly, and telecom industries worldwide are predicted to undergo the biggest workforce cuts in the next 3 years due to the adoption of AI technologies. However, infrastructure, professional services and high-tech industries are predicted to increase their workforce sizes with the adoption of AI technologies during the same time period. This highlights the somewhat polarizing effects of AI to human jobs. In some industries, the introduction of AI greatly expedites processes and minimizes human error, which leads to the replacement of human labor. While in others, AI creates new hybrid roles where humans enable machines and AI augments human capabilities. AI’s impacts on global economic Despite changes in the global workforce, AI is predicted to contribute to global economic growth. A 2018 global survey estimates that AI will contribute to approximately **** percent of China’s GDP in 2030, **** percent of the GDP in North America, and **** percent of UAE’s GDP. Some of these increases in GDP stem from improvements in productivity and product enhancements due to the adoption of AI technologies. For example, AI in the technology, media and telecommunications industry is forecast to increase global GDP in 2030 by **** percent – *** percent from gains associated with productivity, and * percent from gains associated with product enhancements.
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Agentic AI Market is estimated to reach USD 196.6 billion By 2034, Riding on a Strong 43.8% CAGR throughout the forecast period.
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Artificial Intelligence Market size was valued at USD 214 Billion in 2024 and is projected to reach USD 863.79 Billion by 2030. Along with A 32.19% CAGR.
The global artificial intelligence (AI) software market is forecast to grow rapidly in the coming years, reaching around *** billion U.S. dollars by 2025. The overall AI market includes a wide array of applications such as natural language processing, robotic process automation, and machine learning. What is artificial intelligence? Artificial intelligence refers to the capability of a machine that is able to replicate or simulate intelligent human behaviours such as analysing and making judgments and decisions. Originated in the computer sciences and a contested area in philosophy, artificial intelligence has evolved and developed rapidly in the past decades and AI use cases can now be found in all corners of our society: the digital voice assistants that reside in our smartphones or smart speakers, customer support chatbots, as well as industrial robots. Investments in AI Many of the biggest names in the tech industry have invested heavily into both AI acquisitions and AI related research and development. When it comes to AI patent applications by company, Microsoft, IBM, Google, and Samsung have each submitted thousands of such applications, and funding for AI related start-ups are raking in dozens of billions of dollars each year.
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In 2024, Artificial Intelligence Market was valued at $224.41 Billion and projected to reach $1236.47 Billion by 2030, due to increasing number of data globally.
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The AI in Social Media Market is expected to reach USD 8.50 billion by 2030, at a 26.84% CAGR during 2025–30. 5G and digital ads fuel growth.
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Global AI in Banking market size is expected to reach $50.23 billion by 2029 at 34.6%, segmented as by component, solution, service
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The market is projected to reach USD 18,791.2 Million in 2025 and is expected to grow to USD 275,444 Million by 2035, registering a CAGR of 30.8% over the forecast period.
Metric | Value |
---|---|
Market Size (2025E) | USD 18,791.2 Million |
Market Value (2035F) | USD 275,444 Million |
CAGR (2025 to 2035) | 30.8% |
Country-wise Insights
Country | CAGR (2025 to 2035) |
---|---|
USA | 32.1% |
Country | CAGR (2025 to 2035) |
---|---|
UK | 29.5% |
Region | CAGR (2025 to 2035) |
---|---|
European Union (EU) | 30.8% |
Country | CAGR (2025 to 2035) |
---|---|
Japan | 31.2% |
Country | CAGR (2025 to 2035) |
---|---|
South Korea | 32.5% |
Competitive Outlook
Company Name | Estimated Market Share (%) |
---|---|
OpenAI | 18-22% |
Google DeepMind | 14-18% |
Microsoft | 12-16% |
Anthropic | 8-12% |
Meta Platforms, Inc. | 6-10% |
Other Companies (combined) | 30-40% |
In the year 2024, the market value of agentic artificial intelligence (AI) stood at *** billion U.S.dollars. It is anticipated that this market value will surpass ** billion U.S.dollars, with a compound annual growth rate of over ** percent, as reported by Capgemini. This tremendous growth demonstrates the potential of agentic AI to transform industries through autonomous action and decision-making.
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According to Cognitive Market Research, the global AI in Oil & Gas Market size is USD 4.0 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 22.6% from 2024 to 2031. Market Dynamics of AI in Oil & Gas Market
Key Drivers for AI in Oil & Gas Market
Oil and gas firms' initiatives towards digital transformation - The oil and gas industry has been striving for more digitalization of operations in order to boost production and efficiency. With declining oil prices in 2024, businesses are seeking technological advances to improve production processes and cut expenses. There is a growing realization that artificial intelligence can be used to analyze massive amounts of operational data collected from rigs, pipelines, refineries, and other assets. This data contains significant insights that can be used to predict equipment failures, discover anomalies, and optimize maintenance plans. AI is increasingly being utilized for activities like interpreting seismic data faster to explore new oil and gas sources. Companies are investing in AI technologies that can complement the decision-making powers of human workers by delivering real-time recommendations. This emphasis on digital transformation across the value chain is a primary driving force behind the growing use of AI technology in the oil and gas industry. Need for better safety and risk minimization
Key Restraints for AI in Oil & Gas Market
Lack of Competent Professionals in AI Technology High initial costs Introduction of the AI in Oil & Gas Market
Artificial intelligence (AI) in the oil and gas market refers to the use of advanced computing algorithms and machine learning approaches to optimize operations, improve decision-making, and increase efficiency across numerous aspects of the industry. Its applications include predictive maintenance, reservoir management, drilling optimization, production planning, and safety standards. The Artificial Intelligence (AI) in Oil & Gas Market is rapidly expanding due to rising energy consumption, technological improvements, and the need for cost savings and operational efficiency. Factors fueling this expansion include the integration of big data analytics, IoT devices, and AI algorithms to extract actionable insights from massive amounts of data, allowing for better decision-making processes.
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The global Agentic AI market is experiencing an extraordinary transformation as intelligent software agents that autonomously perceive, decide, and act are becoming integral components of digital enterprise transformation. Based on extensive analysis, the market size of Agentic AI market was valued at USD 5.1 billion in 2024 and is forecast to reach around USD 150 billion by 2033, driven by powerful growth factors and robust compound annual growth rates (CAGR) estimated at nearly 35% from 2025 to 2033. This explosive expansion is fueled by the rapid digitalization of enterprises, strong government and R&D funding, and the increasing need for automation to improve operational efficiency and reduce human error by up to 40% in some cases. Leading technology trends include advancements in machine learning models such as LLMs, increased data generation from IoT sensors, and the integration of low-latency connectivity enabled by global 5G rollouts, which together create a fertile environment for the adoption of agentic AI solutions.
Major industry reports and triangulated data from government sources, official annual reports, and regulatory filings consistently affirm that as organizations seek to streamline workflows and enhance real-time decision-making with autonomous agents, the market will begin its mainstream consolidation over the next decade. Enterprises spanning finance, healthcare, retail, IT, and manufacturing are incorporating intelligent solutions to optimize processes, reduce costs, and unlock new revenue streams from agent-driven automation. Furthermore, the steady integration of sophisticated AI agents into cloud and on-premise systems, coupled with the increasing penetration of AI software subscriptions and hardware investments, reinforces the market’s transformative potential. This enormous growth trajectory not only underlines agentic AI’s role as a key enabler of digital transformation but also highlights its potential to reshape entire industries.
Investor confidence and aggressive R&D investments by both entrenched tech giants and specialized agents have been a primary driver of this market’s momentum, especially as major vendors consistently report significant revenue contributions from their AI platforms. The market is set to witness an unparalleled increase in operational efficiency as large enterprises along with SMEs leverage cloud-based and hybrid AI solutions to deploy scalable, intelligent virtual agents. With wide-ranging applications from customer service chatbots to autonomous robotics and decision-support systems, the Agentic AI market is positioned to undergo a multi-fold expansion that mirrors the evolution witnessed in cloud computing over the past decade. Overall, the forecasted growth and expansion of the market underscore a pivotal shift in how digital businesses will operate through fully integrated intelligent agents.
The projected market figures, coupled with the impressive CAGR, indicate enormous potential for both existing vendors and new startups as they compete to capture market share in this high-growth environment. The strategic repositioning of traditional tech companies into agile, AI-driven solution providers and the entry of independent innovators have already started to blur traditional boundaries, leading to a more integrated ecosystem where hardware, software, and services combine for maximum impact. The quantitative data not only supports the promise of explosive scaling but also reinforces the expectation that agentic AI will become a cornerstone in delivering business-driven intelligence and automation for enterprises across the globe.
Year | Market Value (USD Millions) | Key Observations |
2024 (Base Year) | 5,100 | Rapid Growth Phase; Early Mainstream Adoption |
2033 (Forecast) | 150,000 | Agentic AI Mainstream Across Industries; High Scalability |
CAGR (2025–2033) | ~35% | Robust Growth Driven by Digital Transformation |
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The Global AI In Energy market is forecasted to grow at a noteworthy CAGR of 30.64% between 2025 and 2033. By 2033, market size is expected to surge to USD 61.58 Billion, a substantial rise from the USD 5.56 Billion recorded in 2024.
The Global AI In Energy market size to cross USD 61.58 Billion in 2033. [https://edison.valuemarketresearch.com//uploads/report_images/VMR112116688/ai-in-energy-mark
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The global AI in clinical trials market was valued at USD 2.05 Billion in 2024, driven by rising requirements to overcome data limitations across the globe. It is expected to grow at a CAGR of 14.00% during the forecast period 2025-2034, and attain a market value of USD 7.60 Billion by 2034.
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agentic AI market to reach USD 33.24 billion by 2030, at a 30.50% CAGR during 2025–30. Automation needs & AI tech advances drive growth.
The artificial intelligence (AI) market share in manufacturing industry is expected to increase by USD 7.87 billion from 2020 to 2025, and the market’s growth momentum will accelerate at a CAGR of 28%.
This artificial intelligence (AI) market in manufacturing industry research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers artificial intelligence (AI) market in manufacturing industry segmentations by application (predictive maintenance and machine inspection, production planning, quality control, and others) and geography (APAC, North America, Europe, South America, and MEA). The artificial intelligence (AI) market in manufacturing industry report also offers information on several market vendors, including Alphabet inc., General Electric Co., intel Corp., Landing ai, Microsoft Corp., Oracle Corp., SAP SE, Siemens AG, international Business Machines Corp., and Amazon Web Services inc. among others.
What will the Artificial Intelligence (AI) Market Size in Manufacturing Industry be During the Forecast Period?
Download Report Sample to Unlock the Artificial Intelligence (AI) Market Size in Manufacturing Industry for the Forecast Period and Other Important Statistics
Significantly, many companies are already investing in the France artificial intelligence (AI) in manufacturing and supply chain activities.
Artificial Intelligence (AI) Market in Manufacturing Industry: Key Drivers, Trends, and Challenges
The demand for automation to improve productivity is notably driving the artificial intelligence (AI) market growth in manufacturing industry, although factors such as integration challenges may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the artificial intelligence (AI) industry in manufacturing. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.
This artificial intelligence (AI) market in manufacturing industry analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2021-2025.
Who are the Major Artificial Intelligence (AI) Market Vendors in Manufacturing Industry?
The report analyzes the market’s competitive landscape and offers information on several market vendors, including:
Alphabet inc.
General Electric Co.
intel Corp.
Landing ai
Microsoft Corp.
Oracle Corp.
SAP SE
Siemens AG
international Business Machines Corp.
Amazon Web Services inc.
This statistical study of the artificial intelligence (AI) market in manufacturing industry encompasses successful business strategies deployed by the key vendors. The artificial intelligence (AI) market in manufacturing industry is fragmented and the vendors are deploying organic and inorganic growth strategies to compete in the market.
Product Insights and News
Alphabet Inc. - The company offers Artificial Intelligence (AI) to products and to new domains, and developing tools to ensure that everyone can access AI.
To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.
The artificial intelligence (AI) market in manufacturing industry forecast report offers in-depth insights into key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies.
Artificial Intelligence (AI) Market in Manufacturing Industry Value Chain Analysis
Our report provides extensive information on the value chain analysis for the artificial intelligence (AI) market in manufacturing industry, which vendors can leverage to gain a competitive advantage during the forecast period. The end-to-end understanding of the value chain is essential in profit margin optimization and evaluation of business strategies. The data available in our value chain analysis segment can help vendors drive costs and enhance customer services during the forecast period.
Which are the Key Regions for Artificial Intelligence (AI) Market in Manufacturing industry?
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38% of the market’s growth will originate from APAC during the forecast period. China and Japan are the key markets for the artificial intelligence (AI) market in manufacturing industry in APAC. Market growth in this region will be faster than the growth of the market in other regions. This market research report entails detailed informati
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The global Predictive AI in Stock Market sector is projected to witness robust growth in the coming years. The market size is anticipated to reach approximately USD 4,100.6 million by 2034, rising from an estimated USD 831.5 million in 2024. This expansion reflects a strong compound annual growth rate (CAGR) of 17.3% during the forecast period spanning 2025 to 2034.
This growth can be attributed to the increasing reliance on artificial intelligence to enhance trading strategies, forecast market movements, and support data-driven investment decisions. As financial institutions and individual investors continue to seek better accuracy in forecasting and risk management, the adoption of predictive AI tools is expected to accelerate.
In 2024, North America emerged as the leading regional market, accounting for more than 34.1% of the global revenue share. This equated to a market value of USD 283.5 million. The region’s dominance is driven by early technology adoption, well-established financial infrastructure, and the presence of key AI solution providers.
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Discover the booming Call Center AI Market, valued at USD 2.3 Billion in 2024, projected to reach USD 7.2 Billion by 2030, with a CAGR of 21% (2025-30)
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The Global AI In Military market size to cross USD XX Million in 2033. [https://edison.valuemarketresearch.com//uploads/report_images/VMR112116469/ai-in-military-market-size.webp]
AI IN MILITARY MARKET SIZE AND FORECAST 2025 TO 2033
The AI in Military market is set to witness substantial growth, driven by several key factors. One of the primary drivers is the increasing demand for enhanced oper
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The artificial intelligence in healthcare market is valued at USD 17.2 billion in 2025 and is projected to reach USD 77.5 billion by 2035, expanding at a strong CAGR of 18.2%.
Attributes | Key Insights |
---|---|
Estimated Size, 2025 | USD 17.2 billion |
Projected Size, 2035 | USD 77.5 billion |
Value-based CAGR (2025 to 2035) | 16.2% |
Semi-Annual Industry Outlook
Particular | Value CAGR |
---|---|
H1 (2024 to 2034) | 19.2% |
H2 (2024 to 2034) | 18.8% |
H1 (2025 to 2035) | 16.2% |
H2 (2025 to 2035) | 17.7% |
Analyzing Artificial Intelligence in Healthcare Market by Top Investment Segments
Product Type | CAGR (2025 to 2035) |
---|---|
Hardware | 19.1% |
Technology Type | CAGR (2025 to 2035) |
---|---|
Machine Learning | 19.3% |
Application | CAGR (2025 to 2035) |
---|---|
Robot-Assisted Surgery | 20.2% |
End User | CAGR (2025 to 2035) |
---|---|
Healthcare Providers | 18.9% |
Country-wise Insights
Countries | Value CAGR (2025 to 2035) |
---|---|
USA | 6.6% |
Canada | 8.8% |
Germany | 13.2% |
France | 11.0% |
Italy | 12.1% |
UK | 9.9% |
Spain | 9.3% |
China | 17.1% |
The market for artificial intelligence grew beyond *** billion U.S. dollars in 2025, a considerable jump of nearly ** billion compared to 2023. This staggering growth is expected to continue, with the market racing past the trillion U.S. dollar mark in 2031. AI demands data Data management remains the most difficult task of AI-related infrastructure. This challenge takes many forms for AI companies. Some require more specific data, while others have difficulty maintaining and organizing the data their enterprise already possesses. Large international bodies like the EU, the US, and China all have limitations on how much data can be stored outside their borders. Together, these bodies pose significant challenges to data-hungry AI companies. AI could boost productivity growth Both in productivity and labor changes, the U.S. is likely to be heavily impacted by the adoption of AI. This impact need not be purely negative. Labor rotation, if handled correctly, can swiftly move workers to more productive and value-added industries rather than simple manual labor ones. In turn, these industry shifts will lead to a more productive economy. Indeed, AI could boost U.S. labor productivity growth over a 10-year period. This, of course, depends on various factors, such as how powerful the next generation of AI is, the difficulty of tasks it will be able to perform, and the number of workers displaced.