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Global Mobile Artificial Intelligence Market Anticipated to Expand Rapidly From 2025 to 2029 Use Code ONLINE20 to Save 20% On Global Market Reports – Gain Access to Trusted Market Data, Growth Indicators, and Industry Analytics What Is the Current Size and Annual Growth Rate of the Mobile Artificial Intelligence Market? The mobile artificial intelligence market size has grown exponentially in recent years. It will grow from $17.45 billion in 2024 to $22.15 billion in 2025 at a compound annual growth rate (CAGR) of 26.9%. The growth in the historic period can be attributed to growing adoption of smartphones and tablets, increasing research and development activities, increasing awareness of the ai-based solutions, growing dependency on iot devices. The mobile artificial intelligence market size is expected to see exponential growth in the next few years. It will grow to $53.7 billion in 2029 at a compound annual growth rate (CAGR) of 24.8%. The growth in the forecast period can be attributed to increasing adoption of ai-based solutions across various industries, increasing power of mobile processors, development of new mobile ai software frameworks, growing demand for mobile ai applications. Major trends in the forecast period include ai chipsets, advancements in hardware, ai-powered mobile apps, edge ai, 5g connectivity. Get your free report sample today: Mobile Artificial Intelligence Market Forecast And Analysis Sample (https://www.thebusinessresearchcompany.com/sample.aspx?id=12875&type=smp) What Are the Primary Factors Driving the Mobile Artificial Intelligence Market? The increasing penetration of smartphones is expected to propel the growth of the mobile artificial intelligence market going forward. Smartphones are handheld electronic devices that combine the functionalities of a mobile phone and a personal computer. Smartphones play a significant role in implementing and using mobile artificial intelligence (AI) and serve as powerful and versatile platforms for mobile AI, enabling AI-driven functionalities, personalized experiences, intelligent interactions and on-the-go AI processing. For instance, in February 2023, according to Uswitch Limited, a UK-based price comparison and switching service company, there were 71.8 million mobile connections in the UK, a 3.8% (or around 2.6 million) increase over 2021. The UK population is expected to grow to 68.3 million by 2025, of which 95% (or about 65 million individuals) will own a smartphone. Therefore, the increasing penetration of smartphones will drive the growth of the mobile artificial intelligence market. How Is the Mobile Artificial Intelligence Market Categorized Based on Key Segments? The mobile artificial intelligencemarket covered in this report is segmented – 1) By Component: Hardware, Software, Services 2) By Technology Node: 20–28 Nano Meter (NM), 10 Nano Meter (NM), 7 Nano Meter (NM), Other Technology Nodes 3) By Application: Smartphones, Robotics, Augmented Reality (AR) And Virtual Reality(VR), Cameras, Drones, Automotive, Other Applications Subsegments: 1) By Hardware: AI Chips, Sensors, Mobile Devices 2) By Software: Machine Learning Algorithms, Natural Language Processing (NLP) Tools, AI Frameworks And Platforms, Mobile Applications With AI Capabilities 3) By Services: AI Consulting Services, AI Integration Services, AI Maintenance And Support Services, Custom AI Development Services What Are the Current Trends Influencing the Mobile Artificial Intelligence Market? Major companies operating in the mobile artificial intelligence market are adopting new technologies, such as generative AI to sustain their position in the market. Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio, and synthetic data. For instance, in April 2023, Sofy, a US-based company that provides automation solutions for mobile apps, launched SofySense, a generative AI-driven, no-code mobile app testing solution. Generative AI can help create new data from existing data, while no-code testing solutions enable users to conduct software testing without writing code. This combination could revolutionize mobile app testing by automating the process and making it more efficient. SofySense reduces time spent reviewing outcomes to identify concerns by producing test cases, hindering research and test design requirements and enabling test cases to smoothly convert to automated tests rather than spending time creating automation code. Who Are the Major Companies Operating in the Mobile Artificial Intelligence Market? Major companies operating in the mobile artificial intelligence market are Apple Inc., Google LLC, Samsung Electronics Co Ltd., Microsoft Corporation, Alibaba Group Holding Limited, Tencent Holdings Limited, Amazon Web Services Inc., Intel Corporation, IBM Corporation, LG Electronics Inc., Qualcomm Incorporated, NVIDIA Corporation, Salesforce Inc., Nokia Corporation, MediaTek Inc., Baidu Inc., Cerebras Systems Inc., H2O.ai (http://H2O.ai) Inc., Fuzhou Rockchip Electronics Co Ltd., Cambricon Technologies Corporation Ltd., Huawei Technologies Co Ltd., Shanghai Thinkforce Electronic Technology Co Ltd, Blaize Inc., Kneron Inc., Graphcore Ltd., Deephi Technology Co Ltd. Get the detailed mobile artificial intelligence market report today Mobile Artificial Intelligence Market Forecast And Analysis (https://www.thebusinessresearchcompany.com/report/mobile-artificial-intelligence-global-market-report) Which Region Holds the Largest Share of the Mobile Artificial Intelligence Market? North America was the largest region in the mobile artificial intelligence market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in mobile artificial intelligence market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. #Contact Us:# The Business Research Company: Market Research Reports (https://thebusinessresearchcompany.com/) Americas +1 310-496-7795 Asia +44 7882 955267 & +91 8897263534 Europe +44 7882 955267 Email: info@tbrc.info (mailto:info@tbrc.info) #Follow Us On:# LinkedIn: The Business Research Company | LinkedIn (https://in.linkedin.com/company/the-business-research-company)

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Global Image Based Barcode Reader Market Anticipated to Expand Rapidly From 2025 to 2029 Use Code ONLINE20 to Save 20% On Global Market Reports – Gain Access to Trusted Market Data, Growth Indicators, and Industry Analytics What Are the Key Growth Indicators and Market Expansion Estimates for the Image Based Barcode Reader Market Through 2029? The image based barcode reader market size has grown strongly in recent years. It will grow from $1.95 billion in 2024 to $2.05 billion in 2025 at a compound annual growth rate (CAGR) of 5.3%. The growth in the historic period can be attributed to increasing automation and Industry 4. The image based barcode reader market size is expected to see strong growth in the next few years. It will grow to $2.56 billion in 2029 at a compound annual growth rate (CAGR) of 5.7%. The growth in the forecast period can be attributed to increasing e-commerce and retail sectors, rising adoption of automation and Industry 4.0, increasing demand for image based barcode readers, and increasing requirements for automation. Major trends in the forecast period include AI and machine learning integration, penetration of sophisticated barcodes and QR codes, technological advancements, advancements in imaging technology, and integration into smartphone technology. Get your free report sample today: https://www.thebusinessresearchcompany.com/sample.aspx?id=17175&type=smp (https://www.thebusinessresearchcompany.com/sample.aspx?id=17175&type=smp) What Are the Essential Drivers Propelling the Image Based Barcode Reader Market Forward? The increasing e-commerce and retail sectors are expected to propel the growth of the image based barcode reader market going forward. E-commerce refers to the buying and selling of goods and services over the internet, and retail encompasses both physical (brick-and-mortar) stores and online sales channels. The popularity of e-commerce and the retail sector is rising due to factors such as the convenience of online shopping, the wide variety of products available, and the increasing use of mobile devices and internet connectivity. Image based barcode readers enhance e-commerce and retail by enabling accurate inventory management, faster checkouts, and efficient order fulfillment through their ability to read various barcode types from any orientation. For instance, in May 2024, according to the United States Census Bureau, a US-based government agency, in the first quarter of 2024, e-commerce sales rose by 8.5 percent (±1.1%) compared to the first quarter of 2023, while total retail sales increased by 2.8 percent (±0.5%) during the same period. Therefore, the increasing e-commerce and retail sectors are driving the image based barcode reader market. How Is the Image Based Barcode Reader Market Categorized Based on Key Segments? The image based barcode readermarket covered in this report is segmented – 1) By Type: Handheld Barcode Reader, Stationary Barcode Reader 2) By Technology: S Mounted Lens, C Mounted Lens, Autofocus Or Liquid Based Lens 3) By Connectivity: Universal Serial Bus (USB), Bluetooth, Wi-Fi And POE (Power Over Ethernet) 4) By Application: Retail And Wholesale, Logistics And Warehousing, Industrial Manufacturing, Healthcare 5) By End Use: Retail And Commercial, Manufacturing, Automotive, Food And Beverages, Semiconductors, General Manufacturing, Health Care, Logistics And Warehouse, Commercial Aviation, Defense Subsegments: 1) By Handheld Barcode Reader: Corded Handheld Barcode Reader, Cordless/ Wireless Handheld Barcode Reader, Bluetooth Handheld Barcode Reader, Rugged Handheld Barcode Reader, 2D Handheld Barcode Reader 2) By Stationary Barcode Reader: Fixed Mount Barcode Reader, Laser-Based Stationary Barcode Reader, 2D Stationary Barcode Reader, Omnidirectional Stationary Barcode Reader, High-Speed Stationary Barcode Reader What New Market Trends Are Emerging in the Image Based Barcode Reader Market? Major companies operating in the image based barcode reader market are focusing on developing technologically advanced solutions, such as artificial intelligence (AI)-assisted barcode reader systems, to enhance accuracy, speed, and functionality in barcode scanning applications. AI-assisted barcode reader systems refer to barcode scanning technologies enhanced with artificial intelligence capabilities, enabling advanced image processing algorithms to accurately and swiftly decode barcodes from various orientations and conditions. For instance, in October 2023, Cognex Corporation, a US-based system software company, launched the DataMan 380 series of fixed-mount, image-based barcode readers to maximize throughput and traceability across a variety of applications in logistics and manufacturing. The new readers are equipped with a high-resolution CMOS sensor of up to 16.13 MPixel and are designed to increase throughput by simultaneously processing 1D and 2D codes using AI-accelerated decoding. It simplifies deployments compared to using multiple conventional readers and is ideal for robotic pick-and-place, pallet scanning, and tire barcode reading, enhancing throughput in logistics and manufacturing. Who Are the Dominant Players Contributing Significantly to the Image Based Barcode Reader Market Revenue? Major companies operating in the image based barcode reader market are DENSO Corporation, Honeywell International Inc., Omron Corporation, Zebra Technologies, SICK Vertriebs-GmbH, Cognex Corporation, Datalogic S.p.A., Scandit AG, Blue Bird Corporation, CipherLab Co. Ltd., Code Corporation, Newland Auto-ID Tech Co. Ltd., Jadak a Novanta Company, Argox Information Co. 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