According to a research report "Artificial Intelligence Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing), Deployment Mode, Organization Size, Business Function (Law, Security), Vertical and Region -- Global forecast to 2027" published by MarketsandMarkets, the global artificial intelligence market size is expected to grow at a Compound Annual Growth Rate (CAGR) of 36.2% during the forecast period, to reach USD 407.0 billion by 2027 from USD 86.9 billion in 2022. Since its introduction in the market, artificial intelligence technology had quickly acquired acceptance. The worldwide artificial intelligence market is expanding significantly as a result of the increasing demand for artificial intelligence technologies across numerous industry verticals. The artificial intelligence market is segmented on verticals into BFSI, IT/ITES, Telecommunication, Healthcare and Life Sciences, Manufacturing, Retail and eCommerce, Government and Defense, Automotive Transportation and Logistics, Energy and Utilities, and other verticals, such as travel and hospitality, and education. As per verticals, the healthcare and life sciences vertical is expected to grow at the highest CAGR during the forecast period.

The global Automotive Artificial Intelligence market value is projected to be USD 7.0 Billion by 2027, growing from USD 2.3 Billion in 2022, at a Compound Annual Growth Rate (CAGR) of 24.1% during the forecast period. The report "Automotive Artificial Intelligence Market by Offering, Technology (Deep Learning, Machine Learning, Computer Vision, Context-aware Computing and Natural Language Processing), Process, Application, Component and Region - Global Forecast to 2027" The global Automotive Artificial Intelligence market size is projected to grow from USD 2.3 Billion in 2022 to USD 7.0 Billion by 2027; it is expected to grow at a CAGR of 24.1% from 2022 to 2027. The key factors contributing to the growth of the Automotive Artificial Intelligence market include the growing adoption of ADAS technology by OEMs, and the rising demand for enhanced user experience and convenience features are among the factors driving the growth of the Automotive Artificial Intelligence market. Software segment is expected to hold a larger share of automotive artificial intelligence market. The software holds a major share of the overall AI market in the automotive industry because of the various developments of AI software and related software development kits.

The Industry 4.0 market is poised to grow significantly. The increasing adoption of IoT in the digital transformation of manufacturing and related industries, the rise of industrial robotics and the proportionally higher spend in the Industrial Internet of Things are just some contributing factors. While we are still in the early days of Industry 4.0 and challenges remain on many fronts such as the integration of IT and OT, data capabilities, implementation challenges, guidelines and strategic capacities, skills, culture, standards and the maturity/readiness levels on the path from sheer optimization/automation to real transformation, Industry 4.0 is also driven by myriad challenges in the supply chain and customer expectations. The Industry 4.0 technology market is forecasted to reach $152.31 In an ongoing quest to deliver the value of Industry 4.0, it is certainly also boosted by national and supra-national pushes in a changing geopolitical industrial ecosystem, further driven by some of the larger players and alliances in the industry.

The global Automotive Cybersecurity Market size is projected to grow from USD 2.0 billion in 2021 to USD 5.3 billion by 2026, at a CAGR of 21.3%. Increasing incidents of cyber-attacks on vehicles and massive vehicles recalls by OEMs have increased awareness about automotive cybersecurity among OEMs globally. Moreover, increasing government mandates on incorporating several safety features, such as rear-view camera, automatic emergency braking, lane departure warning system, and electronic stability control, have further opened new opportunities for automotive cybersecurity service providers globally. As a result, there are various start-ups present in the automotive cybersecurity ecosystem. Government initiatives toward building an intelligent transport system have also further escalated the demand for cybersecurity solutions all over the world.

According to a new market research report, "Artificial Intelligence in Accounting Market by Component, Deployment Mode, Technology, Enterprise Size, Application (Automated Bookkeeping, Fraud and Risk Management, and Invoice Classification and Approvals), and Region - Global Forecast to 2024", published by MarketsandMarkets, the global the Artificial Intelligence (AI) in Accounting Market is expected to grow from USD 666 million in 2019 to USD 4,791 million by 2024, at a Compound Annual Growth Rate (CAGR) of 48.4% during the forecast period. The major factors driving the growth of AI in accounting market include the growing need to automate accounting processes and the need for enhanced data-based advisory and decision making. The AI in accounting market has been segmented based on components into 2 categories: solutions and services. The solutions segment is estimated to hold a larger market size, which is driven by the ease of integrating pre-built solutions with existing accounting infrastructure. The growing number of innovations and partnerships in the accounting sector and the focus on automating repetitive accounting processes to enhance efficiency, are also the factors contributing to the adoption.

According to the new market research report "Artificial Intelligence in Healthcare Market by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, Context-aware Computing, Computer Vision), Application, End User and Geography - Global Forecast to 2027", published by MarketsandMarkets, the market is projected to grow from USD 6.9 billion in 2021 to USD 67.4 billion by 2027; it is expected to grow at a CAGR of 46.2%from 2021 to 2027. The key factors fueling the growth of the market include market influx of large and complex healthcare datasets, growing need to reduce healthcare costs, improving computing power and declining hardware cost, rising number of partnerships and collaborations among different domains in healthcare sector, and surging need for improvised healthcare services due to imbalance between health workforce and patients. Additionally, growing potential of AI-based tools for elderly care, increasing focus on developing human-aware AI systems, and rising potential of AI technology in genomics, drug discovery, and imaging & diagnostics to fight COVID-19 is expected to create a growth opportunity for the artificial intelligence in healthcare market. The software segment is projected to account for the largest share of the artificial intelligence in healthcare market during the forecast period. Many companies are developing software solutions for various healthcare applications; this is the key factor complementing the growth of the software segment.

Software is expected to grow at a higher CAGR during the forecast period. It is segmented into traditional software and deep learning software.

The emotion recognition software segment is projected to grow dramatically in coming years, spelling success for companies that have established a beachhead in the market, while causing some who are skeptical about its accuracy and fairness to raise red flags. The global emotion detection and recognition market is projected to grow to $37.1 billion by 2026, up from an estimated $19.5 billion in 2020, according to a recent report from MarketsandMarkets. North America is home to the largest market. Software suppliers covered in the report include: NEC Global (Japan), IBM (US), Intel (US), Microsoft (US), Apple (US), Gesturetek (Canada), Noldus Technology (Netherlands), Google (US), Tobii (Sweden), Cognitec Systems (Germany), Cipia Vision Ltd (Formerly Eyesight Technologies) (Israel), iMotions (Denmark), Numenta (US), Elliptic Labs (Norway), Kairos (US), PointGrab (US), Affectiva (US), nViso (Switzerland), Beyond Verbal (Israel), Sightcorp (Holland), Crowd Emotion (UK), Eyeris (US), Sentiance (Belgium), Sony Depthsense (Belgium), Ayonix (Japan), and Pyreos (UK). Some question whether emotion recognition software is effective, and whether its use is ethical.

According to the new market research report "Quantum Computing Market with COVID-19 impact by Offering (Systems and Services), Deployment (On Premises and Cloud Based), Application, Technology, End-use Industry and Region - Global Forecast to 2026", published by MarketsandMarkets, the market is expected to grow from USD 472 million in 2021 to USD 1,765 million by 2026, at a CAGR of 30.2%. The early adoption of quantum computing in the banking and finance sector is expected to fuel the growth of the market globally. Other key factors contributing to the growth of the quantum computing market include rising investments by governments of different countries to carry out research and development activities related to quantum computing technology. Several companies are focusing on the adoption of QCaaS post-COVID-19. This, in turn, is expected to contribute to the growth of the quantum computing market.

Bioinformatics is the application of computer technology for the management and analysis of biological data. It includes collection, storage, retrieval, manipulation, and modelling of data for analysis, visualization, or prediction through algorithms and software. InstitutesGrowth of the bioinformatics market is driven by the growing demand for nucleic acid and protein sequencing, increasing government initiatives and funding, and increasing use of bioinformatics in drug discovery and biomarker development processes. With the introduction of upcoming technologies such as nanopore sequencing (third generation sequencing technique) and cloud computing, the market is expected to offer significant opportunities for manufacturers of bioinformatics solutions. Knowledge management tools commanded the largest market share in the global bioinformatics market in 2018, while the bioinformatics platforms segment is expected to be the fastest-growing segment in the forecast period. The major factor driving growth of bioinformatics platforms is their growing use in various genomic applications.