The government of the United States of America has been steadily increasing their expenditure in AI, ML, and autonomy since 2018, having reached up from approximately **** billion U.S. dollars to **** billion U.S. dollars by 2023. In 2023, the largest share of this expenditure was directed specifically to machine learning.
Spending on artificial intelligence (AI) varied greatly across industries in 2023, with the banking and retail industries delivering the largest AI investments in 2023. Worldwide spending on AI-centric systems was estimated at 154 billion U.S. dollars in 2023 across all industries. The banking sector's investments amounted to 20.6 billion U.S. dollars, the highest across the observed industries. It was followed by retail, with an investment value of 19.7 billion U.S. dollars. The financial sector's investments into AI are forecast to grow significantly between 2024 and 2027.
The financial sector's spending on artificial intelligence (AI) is projected to experience substantial growth, with an estimated increase from ** billion U.S. dollars in 2023 to ***** billion U.S. dollars in 2028. This represents a compound annual growth rate (CAGR) of ** percent, indicating a significant upward trajectory in AI investment within the financial industry. AI investment across industries In 2023, the banking and retail sectors led in AI investments, with the banking sector accounting for **** billion U.S. dollars and the retail sector investing **** billion U.S. dollars. This demonstrates the varying degrees of AI adoption across different industries, with the financial sector poised for substantial growth over the coming years. These findings highlight the competitive landscape of AI investment and the potential for the financial sector to capitalize on AI technologies. Global corporate AI investment trends The global corporate investment in AI reached nearly ** billion U.S. dollars in 2022, marking a significant increase from previous years. Private investments played a substantial role in driving this growth, underscoring the increasing importance of AI development worldwide. This trend signifies a strong foundation for the expansion of AI technologies, with implications for the financial sector's investment landscape as it navigates the evolving AI market.
Banks across the Americas poured 19 billion U.S. dollars into artificial intelligence investments in 2024, marking a significant commitment to AI technology. This investment is projected to grow rapidly at a 30 percent compound annual rate over the next several years. By 2025, AI spending in the banking sector is expected to reach 25 billion U.S. dollars, before more than doubling to 54 billion U.S. dollars by 2028. Globally, the banking sector represents the majority of financial sector AI spending, which totaled 45 billion U.S. dollars in 2024.
Funding for artificial intelligence companies in the United States has increased exponentially in recent years, growing from a little under 300 million U.S. dollars in 2011 to around 16.5 billion in 2019. Overall worldwide funding in AI startups amounted to approximately 26.6 billion U.S. dollars in the same year. Artificial intelligence refers to the creation of intelligent hardware or software able to replicate human behaviors such as learning and problem solving.
Machine learning applications most funded
Companies focusing on machine learning applications are the most funded in the artificial intelligence (AI) market. Machine learning application companies raised 37 billion U.S. dollars in cumulative funding as of September 2019. Other well-funded AI categories include machine learning platforms as well as computer vision applications and platforms. Intel Capital is the leading AI investor with a total of 60 investments in AI companies as of April 2021. 500 Startups, NEA and Y Combinator also rank high in terms of AI investment deals.
British advertising giant WPP expected to spend *** million U.S. dollars in artificial intelligence (AI) in 2024, while its French competitor Publicis was forecast to dole out *** million on AI. Interpublic Group was forecast to spend ** million.
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License information was derived automatically
Analysis of ‘US Military Spending by Year (1960 - 2020)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/brandonconrady/us-military-spending-by-year-1960-2020 on 28 January 2022.
--- Dataset description provided by original source is as follows ---
Lists the military spending, GDP, and population estimate for the US each year from 1960 to 2020.
Banner image source: https://unsplash.com/photos/BQgAYwERXhs
--- Original source retains full ownership of the source dataset ---
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The market for AI in Education is experiencing significant growth, with projections suggesting it will increase from USD 3.6 billion in 2023 to USD 73.7 billion by 2033, growing at a CAGR of 35.10%. This growth is driven by several factors, including a growing interest in personalized learning, significant investments in AI and EdTech, and the increased use of Intelligent Tutoring Systems (ITS) in the learning process. Partnerships with content providers and the adoption of cloud-based services are also key drivers. However, data safety and security issues, limitations of ITS, and the scarcity of skilled professionals pose significant challenges.
Recent trends include the use of voice assistants in classrooms and AI's role in content creation, streamlining the educational content development process. Predictive analytics are also revolutionizing how educators approach student performance, offering early interventions and personalized support. The drive towards digital learning, personalized educational journeys, and the democratization of AI tools underlines the sector's dynamic growth potential. Yet, high costs associated with advanced AI solutions and data privacy concerns are notable impediments. Integrating AI technologies with existing infrastructures and the knowledge gap among educators regarding AI utilization remain substantial challenges.
Recent developments in the AI in Education sector include a notable wave of mergers, acquisitions, and funding activities. For instance, Instructure acquired Parchment for $835 million, establishing a stronger foothold in the student success domain. Similarly, Learneo's acquisition of Barnes & Noble Digital Student Solutions for $300 million consolidated its position in online learning resources. Roper Technologies' acquisition of Frontline Education for $3.7 billion marked a significant expansion into K-12 software solutions. EverFi's acquisition by Blackbaud for $750 million further illustrates the sector's dynamism, with Blackbaud enhancing its compliance training offerings for educational and non-profit institutions.
These strategic maneuvers highlight a growing trend towards consolidation, with companies seeking to strengthen their portfolios and enter new markets. The focus on AI and personalization, exemplified by Curriculum Associates' acquisition of SoapBox Labs, points to an industry in pursuit of more engaging and customized learning experiences. Additionally, the sector's outlook for 2024 anticipates continued interest in emerging technologies like AR/VR, gamification, and AI-driven microlearning tools, as organizations strive to make learning more immersive and adaptable.
Worldwide spending on data center systems is projected to reach over, 405 billion U.S. dollars in 2025, marking a significant 23 percent increase from 2024. This growth reflects the ongoing digital transformation across industries and the increasing demand for advanced computing capabilities. The surge in data center investments is closely tied to the rapid expansion of artificial intelligence technologies, particularly with the wake of generative AI. AI chips fuel market growth The rise in data center spending aligns with the booming AI chip market, which is expected to reach 92 billion U.S. dollars by 2025. Nvidia has emerged as a leader in this space, with its data center revenue skyrocketing due to the crucial role its GPUs play in training and running large language models like ChatGPT. The global GPU market, valued at 65 billion U.S. dollars in 2024, is a key driver of this growth, powering advancements in machine learning and deep learning applications. Semiconductor industry adapts to AI demands The broader semiconductor industry is also evolving to meet the demands of AI technologies. With global semiconductor revenues surpassing 526 billion U.S. dollars in 2023, the market is expected to approach 611 billion U.S. dollars in 2024. AI chips are becoming increasingly prevalent in servers, data centers and storage infrastructures. This trend is reflected in the data centers and storage semiconductor market, which is projected to grow from 78 billion U.S. dollars in 2023 to 136 billion U.S. dollars by 2025, driven by the development of image sensors and edge AI processors.
Artificial Intelligence (AI) in BFSI Sector Market Size 2025-2029
The artificial intelligence (AI) in BFSI sector market size is forecast to increase by USD 101.35 billion, at a CAGR of 54.2% between 2024 and 2029.
The Artificial Intelligence (AI) market in the BFSI sector is witnessing significant growth, driven by the increasing need for enhanced operational efficiency. AI technologies, such as machine learning and natural language processing, are revolutionizing various BFSI processes, including fraud detection, risk assessment, and customer service. Moreover, the rise of cloud-based AI solutions is enabling smaller financial institutions to adopt these advanced technologies, thereby expanding the market's reach. Deep learning algorithms and machine learning models enhance risk management and algorithmic trading, while AI governance and infrastructure support big data processing and cloud computing.
Ensuring data security and privacy is another significant challenge, given the sensitive nature of financial data. Furthermore, integrating AI systems with existing legacy systems and ensuring seamless data transfer can be a complex process, requiring substantial resources and expertise. Effective management of these challenges will be crucial for companies seeking to capitalize on the market's opportunities and stay competitive in the rapidly evolving BFSI landscape.
What will be the Size of the Artificial Intelligence (AI) in BFSI Sector Market during the forecast period?
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In the BFSI sector, Artificial Intelligence (AI) is revolutionizing business operations and driving significant market trends. AI-powered customer onboarding streamlines the process, reducing costs and enhancing the customer experience. In capital markets, AI-driven customer segmentation and investment optimization provide data-driven insights for personalized financial recommendations. AI-powered financial modeling and portfolio management increase efficiency, while real-time fraud detection and cybersecurity threat prevention ensure security.
Furthermore, AI-powered payment processing and lending leverage data-driven risk management and automated underwriting to provide personalized services and improve overall customer satisfaction. Overall, AI is transforming the BFSI sector by automating processes, enhancing decision making, and providing personalized services, leading to increased efficiency and competitiveness. AI-powered investment banking and regulatory reporting automate complex processes, improving accuracy and reducing manual errors. AI-powered insurance underwriting and claims processing enable faster and more accurate risk scoring and claims management. Enhanced decision making is possible through AI-powered wealth management, trade finance, and lending.
How is this Artificial Intelligence (AI) in BFSI Sector Industry segmented?
The artificial intelligence (AI) in BFSI sector 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.
End-user
Banking
Investment and securities management
Insurance
Solution
Software
Services
Type
Fraud detection and prevention
Customer relationship management
Data analytics and prediction
Anti-money laundering
Others
Geography
North America
US
Canada
Mexico
Europe
France
Germany
Italy
UK
APAC
China
India
Japan
Rest of World (ROW)
By End-user Insights
The banking segment is estimated to witness significant growth during the forecast period. In the banking sector, Artificial Intelligence (AI) is revolutionizing business operations and customer experiences. Banks are adopting AI strategies to automate decision-making processes, develop cognitive models, and deploy predictive analytics for fraud detection and investment management. Speech recognition technology enables virtual assistants to handle customer queries, while computer vision and image recognition facilitate personalized banking services. AI ethics and data privacy are essential considerations in model development and deployment. Financial inclusion is a priority, with AI-powered solutions offering access to banking services through digital identity verification and open banking. Biometric authentication and blockchain technology ensure data security and anti-money laundering compliance.
Explainable AI (XAI) is crucial for transparency and trust. Digital transformation continues to shape the banking industry, with AI innovation driving customer service, loan origination, financial advisory, and loan origination. Data analytics and predictive analytics enable banks to gain valuable insights and make informed decisions. AI adoption is a critical trend, with ban
Expenditure on artificial intelligence (AI) showed significant diversity among industries in 2023, with the banking and retail sectors leading in terms of the most substantial AI investments during that year. The banking sector's spending accounted for **** percent of all investments, followed by the retail sector with **** percent. Worldwide spending on AI was estimated at *** billion U.S. dollars in 2023.
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The global artificial intelligence (AI) systems spending market size was valued at approximately $97.9 billion in 2023 and is projected to reach around $407.0 billion by 2032, growing at a compound annual growth rate (CAGR) of 17.2% during the forecast period. This robust growth is primarily driven by the increasing adoption of AI technologies across various industries to enhance operational efficiency and customer experience.
The market's growth factors are manifold, with a significant driving force being the rapid advancements in AI technologies such as machine learning, natural language processing, and computer vision. These technologies are increasingly being integrated into business processes to automate tasks, derive insights from large datasets, and improve decision-making capabilities. Additionally, the proliferation of big data and the need for advanced data analytics have prompted organizations to invest heavily in AI systems. Companies are now leveraging AI to gain a competitive edge, enhance customer service, and streamline operations, which is significantly contributing to the market's expansion.
Another crucial growth factor is the rising demand for AI-driven solutions in the healthcare sector. AI is revolutionizing healthcare by enabling predictive analytics, personalized medicine, and advanced diagnostics. The ability of AI to analyze vast amounts of medical data quickly and accurately is enhancing patient outcomes and reducing costs. Moreover, the COVID-19 pandemic has accelerated the adoption of AI in healthcare, as organizations seek innovative ways to manage and analyze health data, predict outbreaks, and develop vaccines. This surge in demand from the healthcare sector is expected to propel the AI systems spending market significantly.
The increasing need for enhanced cybersecurity measures is also fueling the growth of the AI systems spending market. Cybersecurity threats are becoming more sophisticated, and traditional security measures are often inadequate to address these challenges. AI technologies, with their ability to detect anomalies, predict potential threats, and automate responses, are becoming indispensable in the cybersecurity landscape. Organizations across various sectors, including BFSI, retail, and IT, are investing in AI-driven cybersecurity solutions to protect their sensitive data and maintain customer trust. This trend is expected to continue driving the market's growth in the coming years.
From a regional perspective, North America holds a significant share of the AI systems spending market, driven by the presence of major technology companies, high adoption rates of advanced technologies, and substantial investment in AI research and development. Asia Pacific is expected to register the highest growth rate during the forecast period, attributed to rapid digital transformation, increasing investments in AI technologies by governments and enterprises, and the burgeoning IT and telecommunications sector in countries like China and India. Europe, Latin America, and the Middle East & Africa are also witnessing substantial growth, supported by favorable government initiatives and rising awareness about the benefits of AI across various industries.
The technology segment in the AI systems spending market encompasses various sub-segments such as machine learning, natural language processing (NLP), computer vision, and others. Machine learning, which involves training algorithms to improve their performance based on previous experiences, is one of the most significant technologies in this segment. It is widely adopted across industries due to its ability to analyze large datasets, recognize patterns, and make data-driven predictions. Companies are leveraging machine learning for various applications, including fraud detection, recommendation systems, and predictive maintenance, driving substantial investment in this technology.
Natural language processing (NLP) is another crucial technology in the AI systems spending market. NLP enables machines to understand, interpret, and respond to human language in a way that is both meaningful and useful. This technology is extensively used in applications such as virtual assistants, chatbots, sentiment analysis, and language translation services. The growing demand for customer-centric solutions and the need for automation in customer service are driving the adoption of NLP across various sectors, contributing significantly to the market's growth.
C
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U.S. tariffs on imported components, such as semiconductor chips, AI processors, and cloud infrastructure, have raised production costs for personal AI assistant technology providers. Many of these components are sourced from regions like Asia, where tariff increases have resulted in higher prices for the hardware necessary for AI assistants.
As a result, U.S.-based manufacturers may pass these increased costs onto consumers, potentially slowing adoption, especially among small to medium enterprises (SMEs). The impact of tariffs is particularly significant in the chatbot and customer service application segments, where scalability and efficiency are critical. U.S. tariffs are estimated to affect 10-15% of the personal AI assistant market, with cloud-based AI assistants and natural language processing technologies being the most impacted.
The U.S. tariffs have impacted approximately 10-15% of the personal AI assistant market, particularly affecting chatbot solutions and cloud-based AI assistants that rely on imported semiconductor chips and cloud infrastructure.
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The global Artificial Intelligence (AI) in Military market is experiencing explosive growth, projected to reach a market size of $10.80 billion in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 43.61%. This surge is driven by several key factors. Firstly, the increasing need for advanced surveillance and threat detection capabilities is fueling demand for AI-powered systems. Secondly, the desire for autonomous weapons systems and improved decision-making processes in complex military scenarios is driving significant investment in AI technologies. Thirdly, advancements in areas like machine learning, deep learning, and computer vision are providing more sophisticated and effective AI solutions for military applications. Furthermore, the ongoing geopolitical instability and the increasing sophistication of modern warfare are encouraging governments and defense organizations to adopt AI for enhanced situational awareness and strategic advantage. The market segmentation reveals strong growth across software, hardware, and services components. Software solutions, encompassing AI algorithms for data analysis, prediction, and decision support, are expected to dominate the market share. Hardware components, including high-performance computing systems, specialized sensors, and AI-enabled drones, are also vital for deploying effective AI solutions. The services sector, encompassing AI integration, training, and maintenance, is expected to experience significant growth as organizations increasingly rely on external expertise to effectively leverage AI capabilities. North America, particularly the United States, is currently a dominant player in this market, due to significant investment in R&D, technological advancements and strong defense budgets. However, the Asia-Pacific region, driven by rapidly growing economies like China and India, is projected to witness substantial growth in the coming years. The competitive landscape is dominated by a mix of established defense contractors and emerging AI technology companies, leading to intense competition and innovation within the market. Ongoing technological advancements and strategic partnerships are shaping the future of the AI in military sector, promising even greater advancements in the coming decade.
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 285.17(USD Billion) |
MARKET SIZE 2024 | 354.07(USD Billion) |
MARKET SIZE 2032 | 2000.0(USD Billion) |
SEGMENTS COVERED | Deployment Model ,Application ,Industry Vertical ,Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | Growing adoption of AI in various industries Increasing government initiatives and funding Advancements in AI algorithms and technologies Rising demand for AIpowered solutions Growing concerns over ethical implications |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | -Alphabet ,-Amazon ,-IBM ,-Microsoft ,-Facebook ,-Salesforce ,-Oracle ,-SAP ,-Nvidia ,-Hewlett Packard Enterprise ,-Tencent ,-Baidu ,-Alibaba |
MARKET FORECAST PERIOD | 2024 - 2032 |
KEY MARKET OPPORTUNITIES | Growth in cloud computing Rising adoption in healthcare Increasing demand for predictive analytics Adoption of AI in manufacturing Government initiatives |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 24.16% (2024 - 2032) |
For the fiscal year of 2025, mandatory government spending is predicted to sum up to about 4.37 trillion U.S. dollars. It consists primarily of benefit programs such as: social security, Medicare, Medicaid, as well as other programs. Discretionary spending consists of spending controlled by lawmakers through annual appropriation acts. In FY 2025 it is proposed at 1.93 trillion U.S. dollars, and is divided into defense and nondefense spending. Spending for net interest is also listed, which consists of the government's interest payments on debt held by the public, offset by interest income the government receives.
The United States federal government budget has allotted around 75 billion dollars toward its 2025 civilian federal agency information technology budget. As leadership and government priorities change, the IT budgets allocated to different departments tend to follow suit. The Department of Energy's IT budget increased significantly by 37 percent compared to the previous year, with 5.5 billion U.S. dollars allocated in FY 2025. Similarly, the IT budget of the Department of Homeland security also increased by 23 percent compared to the previous year, to around 11 billion U.S. dollars for FY 2025. Meanwhile, the Office of Personnel Management saw its IT budget shrink the most among the civilian federal government agencies, decreasing by a staggering 64 percent compared to FY 2024. Since the 2022 federal budget, figures do not include the portion of the budget allocated to the Department of Defense or other classified IT spending. U.S. government budget In the United States, huge shares of government expenditures go towards the Department of Health and Human Services as well as the Social Security Administration. Due in part to the country’s continually increasing budget, the government has run at an annual deficit since 2002, with its 2024 deficit estimated to over be around 1.9 trillion dollars. Cybersecurity budget One of the main facets of the U.S. government IT budget is spending related to cybersecurity. Over 12 billion U.S. dollars have been allocated towards cybersecurity in 2024. The Departments of Homeland Security and Justice have unsurprisingly had the highest cybersecurity budgets across all departments, given the sensitive nature of their work.
Artificial Intelligence Governance Market Size 2025-2029
The artificial intelligence (AI) governance market size is forecast to increase by USD 3,127,734.9 thousand at a CAGR of 64.6% between 2024 and 2029.
The market is experiencing significant growth due to the increasing adoption of AI technologies across various industries. This trend is driven by the ability of AI to enhance business operations, improve decision-making processes, and create new opportunities for innovation. However, the market's growth is not without challenges. One of the most significant obstacles is the lack of universally accepted standards and frameworks for AI governance. In particular, machine learning, a core subset of AI, is transforming sectors like insurance by enabling advanced risk assessment, fraud detection, and personalized customer experiences. As more organizations adopt AI, there is a growing need for clear guidelines on how to manage the ethical, legal, and social implications of these technologies. Another key trend shaping the market is the increasing adoption of enterprise AI by Small and Medium-sized Enterprises (SMEs).
While large corporations have been early adopters of AI, SMEs are now recognizing the potential benefits of these technologies. This trend is expected to drive market growth as SMEs seek to compete with larger competitors and improve operational efficiency. Despite these opportunities, companies must navigate the challenges of implementing AI governance frameworks and ensuring compliance with regulations. Effective management of AI governance will be crucial for organizations seeking to capitalize on the market's potential and mitigate risks associated with the adoption of AI technologies.
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The market is experiencing significant growth due to increasing demand for ethical and responsible AI implementation. This market encompasses principles, oversight, ethics guidelines, compliance audits, research, community building, transparency frameworks, control, forums, regulation, reliability, bias detection, due diligence, impact analysis, values, data governance, explainable AI, safety, algorithmic fairness, risk assessment, privacy by design, and other related areas. Key market drivers include the growing importance of AI transparency, accountability, and trust, as well as the need for AI to adhere to ethical values and principles. Additionally, the increasing complexity and potential risks associated with AI systems necessitate strong governance frameworks to ensure reliable and unbiased performance.
The AI governance market is expected to continue expanding as organizations seek to mitigate risks, maintain regulatory compliance, and build trust with stakeholders. This market represents a critical component of the broader AI ecosystem, enabling the responsible and ethical deployment of AI technologies across various industries and applications. Ensuring AI reliability requires strong AI control, AI oversight, and adherence to comprehensive AI ethics guidelines. Organizations must align their technologies with established AI principles and AI values to foster trust and accountability. AI tools such as chatbots, predictive analytics, and automated workflows enable SMEs to optimize processes, reduce costs, and make informed decisions based on data. Conducting regular AI impact analysis and AI risk assessment is essential for responsible development, supported by thorough AI due diligence. A strong AI transparency framework and the implementation of explainable AI help address concerns about decision-making processes. AI bias detection and AI compliance audits further ensure fairness and regulatory alignment. Collaboration within the AI governance community and participation in the AI governance forum support the advancement of AI governance research and best practices.
How is this Artificial Intelligence (AI) Governance Industry segmented?
The artificial intelligence (AI) governance industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD thousand' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
End-user
Government and defense
Healthcare and life sciences
BFSI
Retail
Others
Component
Solution
Services
Application
Model lifecycle management
Risk and compliance
Monitoring and auditing
Ethics and responsible AI
Deployment
Cloud
On-premises
Geography
North America
US
Europe
France
Germany
Italy
UK
APAC
China
India
Japan
South Korea
Middle East and Africa
South America
Brazil
By End-user Insights
The government and defense segment is estimated to witness signif
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As per the latest insights from Market.us, The Global AI in Film Market is projected to reach USD 14.1 billion by 2033, growing at a CAGR of 25.7% from 2024 to 2033. In 2023, the market was valued at USD 1.4 billion, with North America leading at over 40% market share, generating approximately USD 0.5 billion in revenue.
Artificial Intelligence (AI) is revolutionizing the film industry by integrating into various phases of production, from scriptwriting and casting to post-production and distribution. AI technologies enhance the efficiency of filmmaking processes, enable cost reduction, and open up new creative possibilities. For example, AI-driven analytics can predict audience preferences, which helps in script adjustments, while AI in post-production can expedite editing and visual effects, enhancing the overall quality of the film output.
The rapid adoption of AI-driven tools in filmmaking, such as script analysis, visual effects automation, and deepfake technology, is fueling this expansion. Major studios and streaming platforms are investing heavily in AI to enhance content production efficiency, reduce costs, and improve audience engagement.
The primary drivers of the AI in Film market include the demand for enhanced efficiency and cost reduction in film production, the capability of AI to generate detailed and realistic visual effects, and the growing need for personalized content on streaming platforms. AI technologies enable studios to produce high-quality films faster and at lower costs, addressing the competitive pressures of the industry​.
Demand for AI in film is driven by its ability to reduce production times and costs, its application in creating engaging and personalized content, and the advantage of predictive analytics in marketing and distribution strategies. Streaming platforms use AI to recommend personalized viewing options, significantly improving user engagement and subscription retention​.
Provides aggregate financial data consisting of SSA's major obligations and expenditures.
The government of the United States of America has been steadily increasing their expenditure in AI, ML, and autonomy since 2018, having reached up from approximately **** billion U.S. dollars to **** billion U.S. dollars by 2023. In 2023, the largest share of this expenditure was directed specifically to machine learning.