遺伝子予測ツール市場の2030年までの予測：コンポーネント別、用途別、エンドユーザー別、地域別の世界分析

Stratistics MRCによると、世界の遺伝子予測ツール市場は2023年に1,273億米ドルを占め、予測期間中のCAGRは20.3％で成長し、2030年には4,641億米ドルに達すると予測されています。

遺伝子予測ツールは、DNA配列内の潜在的なタンパク質コード領域を特定し、注釈を付けるために使用される計算アルゴリズムです。これらのツールは、統計モデル、隠れマルコフモデル、または機械学習技術を使用して遺伝子配列を解析し、遺伝子、コーディング領域、エクソン-イントロン境界、および制御要素の位置を予測します。これらのツールは遺伝子構造の理解を助け、様々な生物の遺伝子アノテーション、機能解析、ゲノムアノテーションを容易にし、ゲノミクスや分子生物学研究に大きく貢献しています。

2021年のBriefings in Bioinformaticsによると、TSSFinderと呼ばれるプログラムが真核生物種のプロモーター配列を記述するために使用されました。線形連鎖条件付き確率場（LCCRF）に基づく確率論的モデルを用いた転写開始点（TSS）予測アプローチがTSSFinderであり、当初は文献に開示されていました。

個別化医療への需要の高まり

個別化医療に対する需要の高まりが、遺伝子予測ツールの進歩の原動力となっています。これらのツールは、遺伝子情報を利用して、個人が特定の病気を発症する可能性、特定の薬に対する反応性、潜在的な副作用を予測します。遺伝子予測ツールは、個人の遺伝子データを分析し、病気や薬物代謝に関連する変異を特定することで、治療計画のカスタマイズを支援します。

データの質と複雑さ

遺伝子予測ツールは、ゲノム配列のばらつきによるデータ品質の課題に直面し、予測に誤差をもたらします。代替スプライシングや重複遺伝子を含む遺伝子構造の複雑さは、精度に影響を与える複雑さを増しています。さらに、利用可能なゲノムデータは膨大な量であるため、計算上の課題が生じ、多様なゲノムの特徴を扱う堅牢なアルゴリズムが必要となります。その結果、データの質の限界や複雑さが正確な遺伝子予測の妨げとなり、生物学的解釈や下流の解析に影響を与えます。

バイオインフォマティクスの採用拡大

バイオインフォマティクスは遺伝子予測ツールの進歩に極めて重要な役割を果たし、その普及を促進しています。計算アルゴリズムと生物学的データを活用するバイオインフォマティクスは、正確な遺伝子同定、アノテーション、機能解析を可能にします。その統合は予測モデルを最適化し、遺伝子コードを解読するために配列解析、機械学習、統計的手法を採用します。バイオインフォマティクスへの依存の高まりは、様々な生物学的研究領域における遺伝子予測ツールの精度、拡張性、アクセシビリティの向上を保証しています。

厳しい規制認可プロセス

遺伝子予測ツールの厳しい規制認可プロセスにはいくつかの欠点があります。それはしばしば開発期間の長期化につながり、遺伝子研究や臨床応用における重要な技術革新を遅らせる。規制上の障壁が高いため、利用しやすさや購入しやすさが制限され、小規模な研究グループや企業が新規の解決策を提供する妨げとなります。さらに、このような厳しいプロセスは、確立されたツールを優遇することで技術革新を抑制し、より効果的で画期的な技術の出現を妨げる可能性があります。

COVID-19の影響：

遺伝子予測ツールは、ウイルス遺伝子、変異、機能的構成要素を特定する上で重要な役割を果たしました。これらのツールは、可能性のあるワクチン候補を特定するだけでなく、その安全性と有効性を評価するために研究者によって使用されました。しかし、流行が拡大するにつれ、COVID-19とは関係のない数多くの研究プロジェクトが、リソースの再配分、ロックダウン、研究活動の中断のために中止または延期を余儀なくされました。その結果、COVID-19以外の研究領域における遺伝子予測機器の受容と応用が減速しました。

予測期間中、ソフトウェアセグメントが最大となる見込み

予測期間中、ソフトウェア・セグメントが最大となる見込みです。これらのツールは洗練されたアルゴリズムを利用してゲノムデータを解析し、遺伝子の位置、構造、機能を正確に予測します。この市場の主要プレーヤーは、ユーザーフレンドリーなインターフェースを提供し、研究者や臨床医のアクセシビリティを確保しています。遺伝子予測の精度を高めるソフトウェアの能力は、ゲノム研究と個別化医療の進歩に大きく貢献し、市場の拡大を牽引しています。ゲノムデータが増加し続ける中、効率的で信頼性の高い遺伝子予測ツールに対する需要は、市場の成長をさらに促進すると予想されます。

診断分野は予測期間中に最も高いCAGRが見込まれる

診断分野は、予測期間中に最も高いCAGRが見込まれます。これらのツールは、病気に関連する遺伝的変異を特定し、個別化医療を支援する上で重要な役割を果たしています。正確で効率的な診断ソリューションへの需要が遺伝子予測ツールの技術革新に拍車をかけ、競合市場情勢を生み出しています。主要企業は診断精度の向上、アプリケーションの拡大、ユーザーフレンドリーなインターフェースの強化に注力しており、市場全体の成長と進化に貢献しています。

最大のシェアを占める地域

予測期間中、北米が最大の市場シェアを占めると予測されます。遺伝子研究、特に個別化医療、がん研究、農業などの分野における関心と投資の高まりが、洗練された遺伝子予測ツールに対する需要を高めています。同地域のバイオテクノロジー企業や製薬企業は、遺伝子編集、治療薬、診断に関連する研究開発に多額の投資を行っており、市場成長をさらに促進しています。

CAGRが最も高い地域：

アジア太平洋地域は予測期間中最も高いCAGRを維持すると予測されています。この拡大には、ゲノム研究開発活動の活発化、バイオテクノロジーおよび製薬部門への投資の増加、個別化医療に対する意識の高まりなど、いくつかの要因が寄与しています。各国は、ライフサイエンス研究への多額の投資により、この市場に大きく貢献しています。これらの国々は、活気あるバイオテクノロジー産業と、広範なゲノム研究を行う学術機関を有していました。

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本レポートをご購読のお客様には、以下の無料カスタマイズオプションのいずれかをご利用いただけます：

• 企業プロファイル
  • 追加市場プレイヤーの包括的プロファイリング（3社まで）
  • 主要企業のSWOT分析（3社まで）
• 地域セグメンテーション
  • 顧客の関心に応じた主要国の市場推計・予測・CAGR（注：フィージビリティチェックによる）
• 競合ベンチマーキング
  • 製品ポートフォリオ、地理的プレゼンス、戦略的提携に基づく主要企業のベンチマーキング

目次

第1章 エグゼクティブサマリー

第2章 序文

• 概要
• ステークホルダー
• 調査範囲
• 調査手法
  • データマイニング
  • データ分析
  • データ検証
  • 調査アプローチ
• 調査ソース
  • 1次調査ソース
  • 2次調査ソース
  • 前提条件

第3章 市場動向分析

• 促進要因
• 抑制要因
• 機会
• 脅威
• 製品分析
• アプリケーション分析
• エンドユーザー分析
• 新興市場
• 新型コロナウイルス感染症（COVID-19）の影響

第4章 ポーターのファイブフォース分析

• 供給企業の交渉力
• 買い手の交渉力
• 代替品の脅威
• 新規参入業者の脅威
• 競争企業間の敵対関係

第5章 世界の遺伝子予測ツール市場：コンポーネント別

• ソフトウェア
• サービス

第6章 世界の遺伝子予測ツール市場：用途別

• 診断
• 医学調査
• 創薬と創薬の設計
• その他の用途

第7章 世界の遺伝子予測ツール市場：エンドユーザー別

• 病院とクリニック
• バイオテクノロジー企業
• 学術機関と研究センター
• ライフサイエンステクノロジーベンダー
• その他のエンドユーザー

第8章 世界の遺伝子予測ツール市場：地域別

• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • イタリア
  • フランス
  • スペイン
  • その他欧州
• アジア太平洋地域
  • 日本
  • 中国
  • インド
  • オーストラリア
  • ニュージーランド
  • 韓国
  • その他アジア太平洋地域
• 南米
  • アルゼンチン
  • ブラジル
  • チリ
  • その他南米
• 中東とアフリカ
  • サウジアラビア
  • アラブ首長国連邦
  • カタール
  • 南アフリカ
  • その他中東とアフリカ

第9章 主な発展

• 契約、パートナーシップ、コラボレーション、合弁事業
• 買収と合併
• 新製品の発売
• 事業拡大
• その他の主要戦略

第10章 企業プロファイル

• AZoLifeSciences
• Illumina, Inc.
• BGI Genomics
• Geneious
• Thermo Fisher Scientific, Inc.
• Genscript
• Exiqon
• Softberry Technologies
• Qiagen NV
• National Human Genome Research Institute
• New England Biolabs
• ERS Genomics
• Horizon Discovery Ltd.
• Sangamo Therapeutics
• Takara Bio Inc.
• Merck KGaA

List of Tables

• Table 1 Global Gene Prediction Tools Market Outlook, By Region (2021-2030) ($MN)
• Table 2 Global Gene Prediction Tools Market Outlook, By Component (2021-2030) ($MN)
• Table 3 Global Gene Prediction Tools Market Outlook, By Software (2021-2030) ($MN)
• Table 4 Global Gene Prediction Tools Market Outlook, By Service (2021-2030) ($MN)
• Table 5 Global Gene Prediction Tools Market Outlook, By Application (2021-2030) ($MN)
• Table 6 Global Gene Prediction Tools Market Outlook, By Diagnostics (2021-2030) ($MN)
• Table 7 Global Gene Prediction Tools Market Outlook, By Medical Research (2021-2030) ($MN)
• Table 8 Global Gene Prediction Tools Market Outlook, By Drug Discovery & Designing (2021-2030) ($MN)
• Table 9 Global Gene Prediction Tools Market Outlook, By Other Applications (2021-2030) ($MN)
• Table 10 Global Gene Prediction Tools Market Outlook, By End User (2021-2030) ($MN)
• Table 11 Global Gene Prediction Tools Market Outlook, By Hospitals & Clinics (2021-2030) ($MN)
• Table 12 Global Gene Prediction Tools Market Outlook, By Biotechnology Companies (2021-2030) ($MN)
• Table 13 Global Gene Prediction Tools Market Outlook, By Academic Institutes & Research Centers (2021-2030) ($MN)
• Table 14 Global Gene Prediction Tools Market Outlook, By Life Science Technology Vendors (2021-2030) ($MN)
• Table 15 Global Gene Prediction Tools Market Outlook, By Other End Users (2021-2030) ($MN)
• Table 16 North America Gene Prediction Tools Market Outlook, By Country (2021-2030) ($MN)
• Table 17 North America Gene Prediction Tools Market Outlook, By Component (2021-2030) ($MN)
• Table 18 North America Gene Prediction Tools Market Outlook, By Software (2021-2030) ($MN)
• Table 19 North America Gene Prediction Tools Market Outlook, By Service (2021-2030) ($MN)
• Table 20 North America Gene Prediction Tools Market Outlook, By Application (2021-2030) ($MN)
• Table 21 North America Gene Prediction Tools Market Outlook, By Diagnostics (2021-2030) ($MN)
• Table 22 North America Gene Prediction Tools Market Outlook, By Medical Research (2021-2030) ($MN)
• Table 23 North America Gene Prediction Tools Market Outlook, By Drug Discovery & Designing (2021-2030) ($MN)
• Table 24 North America Gene Prediction Tools Market Outlook, By Other Applications (2021-2030) ($MN)
• Table 25 North America Gene Prediction Tools Market Outlook, By End User (2021-2030) ($MN)
• Table 26 North America Gene Prediction Tools Market Outlook, By Hospitals & Clinics (2021-2030) ($MN)
• Table 27 North America Gene Prediction Tools Market Outlook, By Biotechnology Companies (2021-2030) ($MN)
• Table 28 North America Gene Prediction Tools Market Outlook, By Academic Institutes & Research Centers (2021-2030) ($MN)
• Table 29 North America Gene Prediction Tools Market Outlook, By Life Science Technology Vendors (2021-2030) ($MN)
• Table 30 North America Gene Prediction Tools Market Outlook, By Other End Users (2021-2030) ($MN)
• Table 31 Europe Gene Prediction Tools Market Outlook, By Country (2021-2030) ($MN)
• Table 32 Europe Gene Prediction Tools Market Outlook, By Component (2021-2030) ($MN)
• Table 33 Europe Gene Prediction Tools Market Outlook, By Software (2021-2030) ($MN)
• Table 34 Europe Gene Prediction Tools Market Outlook, By Service (2021-2030) ($MN)
• Table 35 Europe Gene Prediction Tools Market Outlook, By Application (2021-2030) ($MN)
• Table 36 Europe Gene Prediction Tools Market Outlook, By Diagnostics (2021-2030) ($MN)
• Table 37 Europe Gene Prediction Tools Market Outlook, By Medical Research (2021-2030) ($MN)
• Table 38 Europe Gene Prediction Tools Market Outlook, By Drug Discovery & Designing (2021-2030) ($MN)
• Table 39 Europe Gene Prediction Tools Market Outlook, By Other Applications (2021-2030) ($MN)
• Table 40 Europe Gene Prediction Tools Market Outlook, By End User (2021-2030) ($MN)
• Table 41 Europe Gene Prediction Tools Market Outlook, By Hospitals & Clinics (2021-2030) ($MN)
• Table 42 Europe Gene Prediction Tools Market Outlook, By Biotechnology Companies (2021-2030) ($MN)
• Table 43 Europe Gene Prediction Tools Market Outlook, By Academic Institutes & Research Centers (2021-2030) ($MN)
• Table 44 Europe Gene Prediction Tools Market Outlook, By Life Science Technology Vendors (2021-2030) ($MN)
• Table 45 Europe Gene Prediction Tools Market Outlook, By Other End Users (2021-2030) ($MN)
• Table 46 Asia Pacific Gene Prediction Tools Market Outlook, By Country (2021-2030) ($MN)
• Table 47 Asia Pacific Gene Prediction Tools Market Outlook, By Component (2021-2030) ($MN)
• Table 48 Asia Pacific Gene Prediction Tools Market Outlook, By Software (2021-2030) ($MN)
• Table 49 Asia Pacific Gene Prediction Tools Market Outlook, By Service (2021-2030) ($MN)
• Table 50 Asia Pacific Gene Prediction Tools Market Outlook, By Application (2021-2030) ($MN)
• Table 51 Asia Pacific Gene Prediction Tools Market Outlook, By Diagnostics (2021-2030) ($MN)
• Table 52 Asia Pacific Gene Prediction Tools Market Outlook, By Medical Research (2021-2030) ($MN)
• Table 53 Asia Pacific Gene Prediction Tools Market Outlook, By Drug Discovery & Designing (2021-2030) ($MN)
• Table 54 Asia Pacific Gene Prediction Tools Market Outlook, By Other Applications (2021-2030) ($MN)
• Table 55 Asia Pacific Gene Prediction Tools Market Outlook, By End User (2021-2030) ($MN)
• Table 56 Asia Pacific Gene Prediction Tools Market Outlook, By Hospitals & Clinics (2021-2030) ($MN)
• Table 57 Asia Pacific Gene Prediction Tools Market Outlook, By Biotechnology Companies (2021-2030) ($MN)
• Table 58 Asia Pacific Gene Prediction Tools Market Outlook, By Academic Institutes & Research Centers (2021-2030) ($MN)
• Table 59 Asia Pacific Gene Prediction Tools Market Outlook, By Life Science Technology Vendors (2021-2030) ($MN)
• Table 60 Asia Pacific Gene Prediction Tools Market Outlook, By Other End Users (2021-2030) ($MN)
• Table 61 South America Gene Prediction Tools Market Outlook, By Country (2021-2030) ($MN)
• Table 62 South America Gene Prediction Tools Market Outlook, By Component (2021-2030) ($MN)
• Table 63 South America Gene Prediction Tools Market Outlook, By Software (2021-2030) ($MN)
• Table 64 South America Gene Prediction Tools Market Outlook, By Service (2021-2030) ($MN)
• Table 65 South America Gene Prediction Tools Market Outlook, By Application (2021-2030) ($MN)
• Table 66 South America Gene Prediction Tools Market Outlook, By Diagnostics (2021-2030) ($MN)
• Table 67 South America Gene Prediction Tools Market Outlook, By Medical Research (2021-2030) ($MN)
• Table 68 South America Gene Prediction Tools Market Outlook, By Drug Discovery & Designing (2021-2030) ($MN)
• Table 69 South America Gene Prediction Tools Market Outlook, By Other Applications (2021-2030) ($MN)
• Table 70 South America Gene Prediction Tools Market Outlook, By End User (2021-2030) ($MN)
• Table 71 South America Gene Prediction Tools Market Outlook, By Hospitals & Clinics (2021-2030) ($MN)
• Table 72 South America Gene Prediction Tools Market Outlook, By Biotechnology Companies (2021-2030) ($MN)
• Table 73 South America Gene Prediction Tools Market Outlook, By Academic Institutes & Research Centers (2021-2030) ($MN)
• Table 74 South America Gene Prediction Tools Market Outlook, By Life Science Technology Vendors (2021-2030) ($MN)
• Table 75 South America Gene Prediction Tools Market Outlook, By Other End Users (2021-2030) ($MN)
• Table 76 Middle East & Africa Gene Prediction Tools Market Outlook, By Country (2021-2030) ($MN)
• Table 77 Middle East & Africa Gene Prediction Tools Market Outlook, By Component (2021-2030) ($MN)
• Table 78 Middle East & Africa Gene Prediction Tools Market Outlook, By Software (2021-2030) ($MN)
• Table 79 Middle East & Africa Gene Prediction Tools Market Outlook, By Service (2021-2030) ($MN)
• Table 80 Middle East & Africa Gene Prediction Tools Market Outlook, By Application (2021-2030) ($MN)
• Table 81 Middle East & Africa Gene Prediction Tools Market Outlook, By Diagnostics (2021-2030) ($MN)
• Table 82 Middle East & Africa Gene Prediction Tools Market Outlook, By Medical Research (2021-2030) ($MN)
• Table 83 Middle East & Africa Gene Prediction Tools Market Outlook, By Drug Discovery & Designing (2021-2030) ($MN)
• Table 84 Middle East & Africa Gene Prediction Tools Market Outlook, By Other Applications (2021-2030) ($MN)
• Table 85 Middle East & Africa Gene Prediction Tools Market Outlook, By End User (2021-2030) ($MN)
• Table 86 Middle East & Africa Gene Prediction Tools Market Outlook, By Hospitals & Clinics (2021-2030) ($MN)
• Table 87 Middle East & Africa Gene Prediction Tools Market Outlook, By Biotechnology Companies (2021-2030) ($MN)
• Table 88 Middle East & Africa Gene Prediction Tools Market Outlook, By Academic Institutes & Research Centers (2021-2030) ($MN)
• Table 89 Middle East & Africa Gene Prediction Tools Market Outlook, By Life Science Technology Vendors (2021-2030) ($MN)
• Table 90 Middle East & Africa Gene Prediction Tools Market Outlook, By Other End Users (2021-2030) ($MN)

According to Stratistics MRC, the Global Gene Prediction Tools Market is accounted for $127.3 billion in 2023 and is expected to reach $464.1 billion by 2030 growing at a CAGR of 20.3% during the forecast period. Gene prediction tools are computational algorithms used to identify and annotate potential protein-coding regions within DNA sequences. They analyze genetic sequences, employing statistical models, hidden Markov models, or machine learning techniques to predict the locations of genes, coding regions, exon-intron boundaries, and regulatory elements. These tools aid in understanding genetic structures, facilitating gene annotation, functional analysis, and genome annotation in various organisms, contributing significantly to genomics and molecular biology research.

According to Briefings in Bioinformatics in 2021, a program called TSSFinder was used to describe the promoter sequences from Eukaryotic species. The initial transcription start site (TSS) prediction approach that uses a probabilistic model based on linear chain conditional random fields (LCCRFs) is TSSFinder, which was originally disclosed in the literature.

Market Dynamics:

Driver:

Rising demand for personalized medicines

The increasing demand for personalized medicine has been a driving force in the advancement of gene prediction tools. These tools utilize genetic information to predict an individual's likelihood of developing certain diseases, their response to particular medications, and potential adverse reactions. Gene prediction tools analyze an individual's genetic data to identify variations associated with diseases or drug metabolism, aiding in customizing treatment plans.

Restraint:

Data quality and complexity

Gene prediction tools face challenges with data quality due to variations in genome sequences, leading to errors in predictions. The complexity of gene structures, including alternative splicing and overlapping genes, adds intricacy, affecting accuracy. Moreover, the vast amount of available genomic data poses computational challenges, requiring robust algorithms to handle diverse genomic features. Consequently, limitations in data quality and complexities hinder precise gene predictions, impacting biological interpretations and downstream analyses.

Opportunity:

Growing adoption of bioinformatics

Bioinformatics plays a pivotal role in advancing gene prediction tools, driving their widespread adoption. Leveraging computational algorithms and biological data, bioinformatics enables accurate gene identification, annotation, and functional analysis. Its integration optimizes predictive models, employing sequence analysis, machine learning, and statistical methods to decipher genetic codes. The growing reliance on bioinformatics ensures enhanced precision, scalability, and accessibility of Gene Prediction Tools in various biological research domains.

Threat:

Stringent regulatory approval process

The stringent regulatory approval process for gene prediction tools poses several disadvantages. It often leads to prolonged development timelines, delaying crucial innovations in genetic research and clinical applications. High regulatory barriers limit accessibility and affordability, impeding smaller research groups or companies from contributing novel solutions. Additionally, these stringent processes may stifle innovation by favouring established tools, hindering the emergence of potentially more effective or groundbreaking technologies.

Covid-19 Impact:

Gene prediction tools played a crucial role in identifying viral genes, mutations, and functional components. These tools were used by researchers to evaluate the safety and efficacy of possible vaccine candidates in addition to identifying them. However, as the epidemic spread, numerous research projects unrelated to COVID-19 had to be cancelled or postponed due to resource reallocation, lockdowns, and disruptions in research activity. Consequently, there was a deceleration in the acceptance and application of gene prediction instruments in research domains other than COVID-19.

The software segment is expected to be the largest during the forecast period

The software segment is expected to be the largest during the forecast period. These tools utilize sophisticated algorithms to analyze genomic data, accurately predicting gene locations, structures, and functions. Key players in this market offer user-friendly interfaces, ensuring accessibility for researchers and clinicians. The software's ability to enhance precision in gene prediction significantly contributes to advancements in genomics research and personalized medicine, driving the market's expansion. As genomic data continues to grow, the demand for efficient and reliable gene prediction tools is expected to further propel market growth.

The diagnostics segment is expected to have the highest CAGR during the forecast period

The diagnostics segment is expected to have the highest CAGR during the forecast period. These tools play a crucial role in identifying genetic variations associated with diseases, aiding in personalized medicine. The demand for accurate and efficient diagnostic solutions has spurred innovation in gene prediction tools, creating a competitive market landscape. Key players are focusing on improving diagnostic accuracy, expanding applications, and enhancing user-friendly interfaces, contributing to the overall growth and evolution of the market.

Region with largest share:

North America is projected to hold the largest market share during the forecast period. Growing interest and investment in genetic research, particularly in fields like personalized medicine, cancer research, and agriculture, have increased the demand for sophisticated gene prediction tools. Biotech and pharmaceutical companies in the region are investing heavily in research and development related to gene editing, therapeutics, and diagnostics, further propelling the market growth.

Region with highest CAGR:

Asia Pacific is projected to hold the highest CAGR over the forecast period. Several factors were contributing to this expansion, including increased research and development activities in genomics, rising investments in biotechnology and pharmaceutical sectors, and growing awareness about personalized medicine. Countries were key contributors to this market due to their substantial investments in life sciences research. These nations had vibrant biotechnology industries and academic institutions conducting extensive genomic research.

Key players in the market

Some of the key players in Gene Prediction Tools market include AZoLifeSciences, Illumina, Inc., BGI Genomics, Geneious, Thermo Fisher Scientific, Inc., Genscript, Exiqon, Softberry Technologies, Qiagen NV, National Human Genome Research Institute, New England Biolabs, ERS Genomics, Horizon Discovery Ltd., Sangamo Therapeutics, Takara Bio Inc. and Merck KGaA.

Key Developments:

In June 2023, Illumina, Inc. disclosed the AI software for predicting disease-causing genetic mutations in patients. Through this, the company has enhanced its product portfolio and revenue growth.

In March 2022, Illumina, Inc. announced the launch of TruSigh Oncology (TSO) Comprehensive (EU). It is an examination that assesses various tumor of a patient's malignancy.

Components Covered:

• Software
• Service

Applications Covered:

• Diagnostics
• Medical Research
• Drug Discovery & Designing
• Other Applications

End Users Covered:

• Hospitals & Clinics
• Biotechnology Companies
• Academic Institutes & Research Centers
• Life Science Technology Vendors
• Other End Users

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 Product Analysis
• 3.7 Application Analysis
• 3.8 End User Analysis
• 3.9 Emerging Markets
• 3.10 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Gene Prediction Tools Market, By Component

• 5.1 Introduction
• 5.2 Software
• 5.3 Service

6 Global Gene Prediction Tools Market, By Application

• 6.1 Introduction
• 6.2 Diagnostics
• 6.3 Medical Research
• 6.4 Drug Discovery & Designing
• 6.5 Other Applications

7 Global Gene Prediction Tools Market, By End User

• 7.1 Introduction
• 7.2 Hospitals & Clinics
• 7.3 Biotechnology Companies
• 7.4 Academic Institutes & Research Centers
• 7.5 Life Science Technology Vendors
• 7.7 Other End Users

8 Global Gene Prediction Tools Market, By Geography

• 8.1 Introduction
• 8.2 North America
  • 8.2.1 US
  • 8.2.2 Canada
  • 8.2.3 Mexico
• 8.3 Europe
  • 8.3.1 Germany
  • 8.3.2 UK
  • 8.3.3 Italy
  • 8.3.4 France
  • 8.3.5 Spain
  • 8.3.6 Rest of Europe
• 8.4 Asia Pacific
  • 8.4.1 Japan
  • 8.4.2 China
  • 8.4.3 India
  • 8.4.4 Australia
  • 8.4.5 New Zealand
  • 8.4.6 South Korea
  • 8.4.7 Rest of Asia Pacific
• 8.5 South America
  • 8.5.1 Argentina
  • 8.5.2 Brazil
  • 8.5.3 Chile
  • 8.5.4 Rest of South America
• 8.6 Middle East & Africa
  • 8.6.1 Saudi Arabia
  • 8.6.2 UAE
  • 8.6.3 Qatar
  • 8.6.4 South Africa
  • 8.6.5 Rest of Middle East & Africa

9 Key Developments

• 9.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 9.2 Acquisitions & Mergers
• 9.3 New Product Launch
• 9.4 Expansions
• 9.5 Other Key Strategies

10 Company Profiling

• 10.1 AZoLifeSciences
• 10.2 Illumina, Inc.
• 10.3 BGI Genomics
• 10.4 Geneious
• 10.5 Thermo Fisher Scientific, Inc.
• 10.6 Genscript
• 10.7 Exiqon
• 10.8 Softberry Technologies
• 10.9 Qiagen NV
• 10.10 National Human Genome Research Institute
• 10.11 New England Biolabs
• 10.12 ERS Genomics
• 10.13 Horizon Discovery Ltd.
• 10.14 Sangamo Therapeutics
• 10.15 Takara Bio Inc.
• 10.16 Merck KGaA