Earth observation data and services market cater to different end-users such as government and defense, archaeology and civil infrastructure, energy and natural resources, agriculture, forestry and fishery, and maritime. In 2020, the global satellite Earth observation market was dominated by government and defense, energy, and natural resources. This is due to the high utilization of data and services in addressing military and tactical surveillance, monitoring of critical structures and ground assets, mining exploration, soil erosion monitoring, oil exploration, and optimization of renewable energy production.

With the increase in awareness regarding the harmful effects posed by synthetic chemicals, consumers are now abstaining from using chemical-infused products. In many instances, it has been found that toxic chemicals are being used in low-quality products, hence causing life-threatening problems in some cases. This led to an increase in awareness among consumers across the globe, resulting in an increase in the demand for natural products. The organic and bio-based beauty boom is part of the recent shift in consumer awareness about wellness, health, and the environment. Moreover, due to a growing number of social media influencers and beauty blogs, awareness, and availability of information regarding toxin-free ingredients have significantly risen.

Next-generation sequencing (NGS) is a disruptive technological development in the life sciences industry, which has paved the path for the development of several breakthrough medical procedures that are aimed to address the primary concern for global health. The development of next-generation sequencing technology has introduced fundamental changes in the process of genome sequencing in order to reduce cost and turnaround time. With its immense potential, NGS enables the understanding of the threat that a particular disease can pose to an individual and aid in the development of precise curative medical procedures. The current study aims to assess the global NGS sample preparation market by focusing on products (consumables, standalone automation instruments, automated workstation, accessories, and components) catering to end users, including hospitals and clinics, academic and research institutions, pharmaceutical and biotechnology companies, other end users (non-profit organizations, reference laboratories, and others). The current market for NGS sample preparation is majorly dominated by manufacturers and service providers such as Aurora Biomed, Inc., Bio-Rad Laboratories, Danaher Corporation, BGI, Eppendorf AG, F. Hoffmann-La Roche Ltd., Hamilton Company, Illumina, Inc., New England Biolabs, Inc., Oxford Nanopore Technologies, Ltd., QIAGEN, PerkinElmer, Inc., and Promega Corporation.

Mycelium is a filament-like structure, and many such filaments are called hyphae. The interwoven filament structure that forms the fungus's vegetative part is known as mycelia. Mycelia are finger-like shapes that develop outward, such as roots, to seek water and nutrients to meet the fungi body’s requirements. Mycelia have masses known as Shiro, and these fungal colonies are situated underneath or on the soil surface. Mycelia can easily move through the soil or other surface due to rigid wall structure. Mycelium has a solid fibrous structure that can be utilized to produce materials such as clothing, food, construction, and packaging. It can be used to prepare materials such as leather, edible plant-based steak, and an alternative to plastics. Moreover, the fast growth of mycelium is seen as a great alternative to styrofoam, which is being banned in most countries due to its harmful effects on the environment. The various uses of mycelium are possible due to its lightweight, biodegradable, and strong structure. Research and developments are going on to check the feasibility of using mycelium in the construction industry. Mycelium is fire-resistant, breathable, and is an excellent insulator that can be used for preparing clothes, footwear, and other similar products.

AI in the healthcare sector refers to the system of interconnected technologies that can operate independently without or with minimal human intervention. AI and machine learning (ML) solutions are transforming how services in the healthcare sector are delivered. AI is an emerging technology that has applications in the healthcare sector, from drug development to disease detection and patient care. Furthermore, AI has enormous and wide-reaching potential in healthcare, with everything from mobile education solutions to drug discovery falling under ML. In the healthcare industry, clinicians use AI-based solutions to assist decision-making support to diagnose and treat diseases.

The recent technological advancement in the field of next-generation sequencing (NGS) and cell and molecular biology has given birth to the new era of precision medicine, which offers a platform to analyze the variability in genes, lifestyle, and environment of each person individually. Now, the researchers have found an even better option through cell sequencing, which precedes the advancements of next-generation sequencing. In the past few decades, whole genome sequencing (WGS) and whole transcriptome sequencing (WTS) methods have been applied to single cells to combine DNA, RNA, protein, and chromatin information through a single cell. The transcriptomics technique has enabled researchers to use genomics, proteomics, transcriptomics, and epigenomics to understand the heterogeneity of genetically identical cells in the same tissue.

Preimplantation genetic diagnosis (PGD) is performed among couples with a higher risk of transmitting a genetic condition to their offspring. The technique is employed in in-vitro fertilization centers globally to select the euploid embryos to transfer and improve the clinical outcome of the clinical pregnancy, embryo implantation, and live birth rates. As per a research study published by MDPI, embryo aneuploidy is one of the significant reasons for IVF failure enhancing the importance of the preimplantation genetic testing for aneuploidies as a mode of selecting healthy embryos with normal chromosomes. The ability to identify the preimplantation embryos with the genetic defects prior to the initiation of the pregnancy also offers an attractive alternative to chorionic villous sampling or amniocentesis.

Biomanufacturing is the process of production of commercially important biomolecules by utilizing biological systems for use in medicines, food and beverage processing, and industrial applications. Natural sources such as blood, cultures of microbes, animal cells, or plant cells are often employed to carry out biomanufacturing. Cells used in the production process can also be derived using genetic engineering techniques. Biomanufacturing refers to the method of production of biological products from living cells that are commercially important for use in medicines, food and beverage processing, and industrial applications. It is a form of biotechnology that encompasses the use of biomaterials harvested from natural sources such as microbes, blood, animal cells, or plant cells. These cells or ingredients used in the production are either naturally occurring or are synthesized through genetic engineering. In the field of medicine, several biopharmaceutical products such as vaccines, cytokines, amino acids, growth factors, antibodies, and fusion proteins are all manufactured through bioprocessing and are hence called biomanufactured products. The terms “bioprocessing” and “biomanufacturing” are often used interchangeably, the former representing the technologies and system processes, whereas the latter involves implementing bioprocessing practices to produce commercially important biomaterials and biomolecules for specific applications. One key feature distinguishing a biomanufactured product such as monoclonal antibodies from small molecule drugs such as aspirin is their production process. Biomanufacturing is a highly complex, multi-step procedure requiring much more time and expense than that needed for small molecules.

Molecular diagnostics encompasses a rapidly evolving range of assays and systems that facilitate pathogen detection, viral load estimation, antibiotic and antiviral therapy selection, diagnosis of cancer, and other diseases, by the detection and analysis of proteins and nucleic acid sequences. Molecular diagnostics also offer prognostic assessments for a wide range of diseases, as well as assistance with treatment selection and monitoring of drug treatment efficacy. Molecular diagnostics has evolved to be an integrative aspect of healthcare routines by providing most laboratory tests in infectious disease and genetics, and a continuously increasing number of tests in oncology. The massively parallel methods that have now transcended molecular diagnostics allow sequencing of entire genomes at very low costs. The sequenced databases within and between species provide the information necessary for the development of sensitive and specific diagnostic assays. The effect of extensive sequencing procedures has led to most microorganisms today being classified on the basis of sequence rather than phenotype. A presumptive diagnosis is made if a microbial sequence is present where it should not be.

Indoor farming is an important part of modern agriculture for producing crops in a controlled environment. There is an increasing growth for indoor farming globally propelled by the rising world population along with a consequent demand for consistent food supplies. Conventional agriculture is suitable for areas with sufficient land and water supply. Since the percentage of arable land and water supply to support conventional agriculture is diminishing, the demand for indoor farming is heightening. Indoor farms can help to grow the total crop yield per unit area by utilizing the stacked layers of potted seeds, and this is further expected to drive the market. Indoor farming mainly implements methods, including aquaponics, aeroponics, and hydroponics also utilizes artificial lighting such as LED lights for adequate light levels and nutrients. Indoor farming method or concept further employs various technologies that become the means of operation. For instance, to collect data, indoor farming depends on the Internet of Things (IoT), GPS, and other sensor-based technologies, which allow seamless data collection. For data analysis, several farm management software and artificial intelligence (AI) based tools can be utilized to make sense of the collected data, and later autonomous machines and other mechanical equipment can be employed to take necessary actions.