Technology and Media Market Research Reports

  The global   aircraft sensors market   size was valued at USD 3.48 billion in 2023 and is projected to reach USD 5.50 billion by 2030, growing at a CAGR of 6.9% from 2024 to 2030. Technological advancements, such as smart sensors and miniaturization, play a crucial role in the market, enhancing real-time data provision and predictive maintenance while ensuring optimal aircraft performance. The increase in aircraft production, driven by rising passenger traffic and defense modernization programs, further supports market growth. Additionally, stringent safety regulations mandated by authorities like the FAA and EASA require the adoption of high-quality sensors for continuous monitoring and data recording, ensuring compliance and operational safety. The growing use of UAVs and the retrofitting of older aircraft with modern sensors also contribute to market expansion. The market presents significant opportunities, particularly in emerging regions like Asia-Pacific, where ra...

  The global   AI in telecommunication market   size was estimated at USD 1.45 billion in 2022 and is projected to reach USD 11.29 billion by 2030, growing at a CAGR of 28.2% from 2023 to 2030. Telecommunications is one of the fastest-growing industries utilizing artificial intelligence (AI) across various aspects of their business, including enhancing customer experience and network reliability.   Telecom companies primarily use AI for customer service applications. For instance, chatbots and virtual assistants address numerous installation, maintenance, and troubleshooting support requests. Additionally, virtual assistants scale and automate responses to support claims, thereby improving customer experience and reducing operational costs. For example, Vodafone Ltd. reported approximately a 68% improvement in customer experience after introducing its TOBi chatbot for handling customer queries.   By implementing AI and automation, telecom companies can reduce op...

  The global   AI in sports market   size was estimated at USD 8.92 billion in 2024 and is projected to reach USD 27.63 billion by 2030, growing at a CAGR of 21.1% from 2025 to 2030. The market growth is driven by the increasing use of AI-driven technologies by sports organizations to enhance performance, streamline training, and elevate fan engagement.   Major growth factors include AI’s capability to process large volumes of data, deliver real-time insights, and automate various tasks, thereby improving decision-making and operational efficiency. Artificial intelligence (AI) is also impacting areas beyond the field, such as sports marketing, analytics, reporting, and performance evaluation. For example, AI-powered writing tools are assisting coaches in documenting training sessions more effectively, while sports journalists are utilizing AI to generate match reports.   Recent market trends highlight the growing application of AI for athlete monitoring, perform...

       The global   AI in networks market   size was estimated at USD 8.67 billion in 2023 and is projected to reach USD 60.60 billion by 2030, growing at a CAGR of 32.5% from 2024 to 2030. The exponential data growth generated by IoT devices, cloud computing, and digital services has created a pressing need for advanced network management solutions.   AI technologies help optimize bandwidth, reduce latency, and enhance overall network performance to manage this growing traffic. Furthermore, organizations are increasingly seeking automation to cut operational costs and improve efficiency. AI-driven solutions can automate routine network management tasks, such as monitoring, troubleshooting, and configuration, allowing IT teams to concentrate on more strategic initiatives.   The rise in cyber threats has made network security a top business priority. AI can enhance cybersecurity by providing real-time threat detection, anomaly identification, and a...

  The global   AI Enhanced HPC market   size was $2.60 billion in 2023 and is projected to reach $4.80 billion by 2030, reflecting a CAGR of 9.4% from 2024 to 2030. This growth is primarily fueled by the accelerating demand for advanced computing capabilities across numerous industry sectors.   The market is being fundamentally reshaped by cloud service providers who are integrating AI with HPC resources. This allows businesses to access powerful computing and its benefits—such as scalability and flexibility—without the significant upfront investments required by traditional on-premises hardware. This structural shift is enabling organizations to quickly adapt to their computational needs.   AI-enhanced HPC is proving its transformative potential across key sectors. Applications include rapid drug discovery in pharmaceuticals, sophisticated predictive analytics in finance, and crucial real-time simulations for energy management. As AI continues its technological...

  The global   AI-enabled testing market   was valued at USD 414.7 million in 2022 and is projected to grow to USD 1.63 billion by 2030, exhibiting a Compound Annual Growth Rate (CAGR) of 18.4% from 2023 to 2030. The market is being fueled by major industry players and prominent technological innovations. For instance, Google's Deep Test uses machine learning to automatically generate and execute test cases, aiming to improve test coverage and reduce effort. Similarly, in May 2023, Parasoft released a new version of its productivity tool for Java developers, Jtest, with AI enhancements to improve code quality and expedite software delivery.   Furthermore, advancements in technologies like computer vision and image processing are driving market growth. An example is Applitools' visual AI for software testing, which uses trained AI and ML algorithms to provide high accuracy. In April 2023, the vision AI company Chooch introduced Image Chat, a new way to create com...

  The global   aerospace 3D printing market   size was estimated at USD 3.13 billion in 2023 and is projected to reach USD 11.38 billion by 2030, growing at a CAGR of 20.6% from 2024 to 2030. The demand for customization and rapid prototyping is driving the adoption of 3D printing in the aerospace sector.   Additive manufacturing enables rapid iteration and customization of aerospace components, allowing manufacturers to quickly iterate designs, test prototypes, and accelerate the product development cycle. This agility is particularly valuable in the aerospace industry, where rapidly prototyping and iterating designs can significantly reduce time-to-market and enable faster innovation in aircraft and spacecraft development.   The COVID-19 pandemic had a negative impact on market growth. One of the immediate effects of the pandemic was the disruption of global supply chains, leading to delays in the manufacturing and delivery of aerospace components. Moreover, t...

  The global   analytical standards market   was valued at USD 1.34 billion in 2023 and is projected to reach USD 2.08 billion by 2030, exhibiting a CAGR of 6.57% from 2024 to 2030. This growth is driven by increasing demand for testing in the pharmaceuticals, environmental monitoring, and food and beverage industries.   The market's expansion is further fueled by strict regulations, technological advancements, and the need for accurate and reliable analysis. The pharmaceutical industry is a key driver, as the growing complexity of drug molecules and a strong focus on quality and safety necessitate the use of analytical standards for drug development, quality control, and regulatory compliance.   Similarly, the rising emphasis on food safety and quality by manufacturers is expected to sustain demand. As food manufacturers face pressure to guarantee product safety and authenticity, the need for analytical standards for testing and analysis is growing, particularl...

  The global   AI training dataset in healthcare market   was valued at USD 423.0 million in 2024 and is projected to reach USD 1.47 billion by 2030, growing at a compound annual growth rate (CAGR) of 22.9% from 2025 to 2030. This field is expanding rapidly as machine learning and AI technologies gain traction across various healthcare applications. These datasets are critical for training AI models that assist in diagnostics, treatment planning, drug discovery, and personalized medicine. The data typically includes patient records, medical images, genetic information, and clinical notes, enabling AI to identify patterns and generate insights. As the healthcare industry increasingly adopts AI, the demand for diverse and high-quality datasets becomes more pronounced. Well-trained AI models can enhance decision-making, improve accuracy, and lead to better patient outcomes. These datasets empower healthcare professionals to make more informed decisions, resulting in effectiv...

  The global   AI data management market   was valued at USD 25.52 billion in 2023 and is projected to reach USD 104.32 billion by 2030, growing at a compound annual growth rate (CAGR) of 22.3% from 2024 to 2030. The growth of this market is primarily driven by the expansion of Big Data and the Internet of Things (IoT), rapid advancements in AI and Machine Learning (ML), and an increasing demand for data-driven decision-making.   Additionally, data privacy regulations such as GDPR and CCPA are propelling the need for robust data management solutions that ensure data security, governance, and compliance. The widespread adoption of cloud computing also provides scalable and cost-effective storage and processing capabilities for managing large datasets utilized in AI applications.   AI technologies allow companies to analyze extensive datasets, creating personalized experiences that align with individual user preferences, past behaviors, and interactions. By levera...

The global  AI computer market  was valued at USD 51.09 billion in 2024 and is projected to reach USD 281.67 billion by 2030, with a compound annual growth rate (CAGR) of 34.4% from 2025 to 2030. AI-powered PCs are specifically designed for processing, mining, and conducting real-time data analysis, making them particularly valuable in data-intensive industries such as finance, healthcare, and retail.   The integration of high-performance neural processing units (NPUs) is a significant growth driver in the AI PC market. These NPUs have facilitated the development of advanced AI PCs capable of executing complex computations necessary for AI tasks. Additionally, the increasing demand for data-driven decision-making and automation is propelling the need for AI-powered PCs in the enterprise sector. As businesses continue to handle growing volumes of data, the demand for AI PCs within this sector is on the rise.   AI is reshaping content creation and gaming experiences by...

  The global   AI API market   was valued at USD 48.50 billion in 2024 and is anticipated to grow to USD 246.87 billion by 2030, with a compound annual growth rate (CAGR) of 31.3% from 2025 to 2030. AI APIs (Application Programming Interfaces) are revolutionizing business operations by extracting valuable insights from complex datasets, improving decision-making processes, and enhancing overall efficiency. Features such as pattern recognition and trend analysis empower companies to gain deeper insights into customer behaviors, market dynamics, and operational inefficiencies, leading to more informed strategic decisions. By utilizing AI APIs, businesses can quickly refine and enhance their products without the necessity for complex in-house AI development. Additionally, AI APIs improve scalability by automating extensive processes and providing intelligent solutions that promote business growth and innovation. Driven by the surge in automation, widespread adoption of artif...